/**
 * @license Highstock JS v8.0.0 (2019-12-10)
 *
 * Data grouping module
 *
 * (c) 2010-2019 Torstein Hønsi
 *
 * License: www.highcharts.com/license
 */
'use strict';
(function (factory) {
    if (typeof module === 'object' && module.exports) {
        factory['default'] = factory;
        module.exports = factory;
    } else if (typeof define === 'function' && define.amd) {
        define('highcharts/modules/datagrouping', ['highcharts'], function (Highcharts) {
            factory(Highcharts);
            factory.Highcharts = Highcharts;
            return factory;
        });
    } else {
        factory(typeof Highcharts !== 'undefined' ? Highcharts : undefined);
    }
}(function (Highcharts) {
    var _modules = Highcharts ? Highcharts._modules : {};
    function _registerModule(obj, path, args, fn) {
        if (!obj.hasOwnProperty(path)) {
            obj[path] = fn.apply(null, args);
        }
    }
    _registerModule(_modules, 'parts/DataGrouping.js', [_modules['parts/Globals.js'], _modules['parts/Utilities.js']], function (H, U) {
        /* *
         *
         *  (c) 2010-2019 Torstein Honsi
         *
         *  License: www.highcharts.com/license
         *
         *  !!!!!!! SOURCE GETS TRANSPILED BY TYPESCRIPT. EDIT TS FILE ONLY. !!!!!!!
         *
         * */
        /**
         * @typedef {"average"|"averages"|"open"|"high"|"low"|"close"|"sum"} Highcharts.DataGroupingApproximationValue
         */
        /**
         * @interface Highcharts.DataGroupingInfoObject
         */ /**
        * @name Highcharts.DataGroupingInfoObject#length
        * @type {number}
        */ /**
        * @name Highcharts.DataGroupingInfoObject#options
        * @type {Highcharts.SeriesOptionsType|undefined}
        */ /**
        * @name Highcharts.DataGroupingInfoObject#start
        * @type {number}
        */
        var arrayMax = U.arrayMax, arrayMin = U.arrayMin, correctFloat = U.correctFloat, defined = U.defined, extend = U.extend, isNumber = U.isNumber, pick = U.pick;
        var addEvent = H.addEvent, Axis = H.Axis, defaultPlotOptions = H.defaultPlotOptions, format = H.format, merge = H.merge, Point = H.Point, Series = H.Series, Tooltip = H.Tooltip;
        /* ************************************************************************** *
         *  Start data grouping module                                                *
         * ************************************************************************** */
        /* eslint-disable no-invalid-this, valid-jsdoc */
        /**
         * Define the available approximation types. The data grouping
         * approximations takes an array or numbers as the first parameter. In case
         * of ohlc, four arrays are sent in as four parameters. Each array consists
         * only of numbers. In case null values belong to the group, the property
         * .hasNulls will be set to true on the array.
         *
         * @product highstock
         *
         * @private
         * @name Highcharts.approximations
         * @type {Highcharts.Dictionary<Function>}
         */
        var approximations = H.approximations = {
            sum: function (arr) {
                var len = arr.length, ret;
                // 1. it consists of nulls exclusive
                if (!len && arr.hasNulls) {
                    ret = null;
                    // 2. it has a length and real values
                }
                else if (len) {
                    ret = 0;
                    while (len--) {
                        ret += arr[len];
                    }
                }
                // 3. it has zero length, so just return undefined
                // => doNothing()
                return ret;
            },
            average: function (arr) {
                var len = arr.length, ret = approximations.sum(arr);
                // If we have a number, return it divided by the length. If not,
                // return null or undefined based on what the sum method finds.
                if (isNumber(ret) && len) {
                    ret = correctFloat(ret / len);
                }
                return ret;
            },
            // The same as average, but for series with multiple values, like area
            // ranges.
            averages: function () {
                var ret = [];
                [].forEach.call(arguments, function (arr) {
                    ret.push(approximations.average(arr));
                });
                // Return undefined when first elem. is undefined and let
                // sum method handle null (#7377)
                return typeof ret[0] === 'undefined' ? void 0 : ret;
            },
            open: function (arr) {
                return arr.length ? arr[0] : (arr.hasNulls ? null : void 0);
            },
            high: function (arr) {
                return arr.length ?
                    arrayMax(arr) :
                    (arr.hasNulls ? null : void 0);
            },
            low: function (arr) {
                return arr.length ?
                    arrayMin(arr) :
                    (arr.hasNulls ? null : void 0);
            },
            close: function (arr) {
                return arr.length ?
                    arr[arr.length - 1] :
                    (arr.hasNulls ? null : void 0);
            },
            // ohlc and range are special cases where a multidimensional array is
            // input and an array is output
            ohlc: function (open, high, low, close) {
                open = approximations.open(open);
                high = approximations.high(high);
                low = approximations.low(low);
                close = approximations.close(close);
                if (isNumber(open) ||
                    isNumber(high) ||
                    isNumber(low) ||
                    isNumber(close)) {
                    return [open, high, low, close];
                }
                // else, return is undefined
            },
            range: function (low, high) {
                low = approximations.low(low);
                high = approximations.high(high);
                if (isNumber(low) || isNumber(high)) {
                    return [low, high];
                }
                if (low === null && high === null) {
                    return null;
                }
                // else, return is undefined
            }
        };
        var groupData = function (xData, yData, groupPositions, approximation) {
            var series = this, data = series.data, dataOptions = series.options && series.options.data, groupedXData = [], groupedYData = [], groupMap = [], dataLength = xData.length, pointX, pointY, groupedY, 
            // when grouping the fake extended axis for panning,
            // we don't need to consider y
            handleYData = !!yData, values = [], approximationFn, pointArrayMap = series.pointArrayMap, pointArrayMapLength = pointArrayMap && pointArrayMap.length, extendedPointArrayMap = ['x'].concat(pointArrayMap || ['y']), pos = 0, start = 0, valuesLen, i, j;
            /**
             * @private
             */
            function getApproximation(approx) {
                if (typeof approx === 'function') {
                    return approx;
                }
                if (approximations[approx]) {
                    return approximations[approx];
                }
                return approximations[(series.getDGApproximation && series.getDGApproximation()) ||
                    'average'];
            }
            approximationFn = getApproximation(approximation);
            // Calculate values array size from pointArrayMap length
            if (pointArrayMapLength) {
                pointArrayMap.forEach(function () {
                    values.push([]);
                });
            }
            else {
                values.push([]);
            }
            valuesLen = pointArrayMapLength || 1;
            // Start with the first point within the X axis range (#2696)
            for (i = 0; i <= dataLength; i++) {
                if (xData[i] >= groupPositions[0]) {
                    break;
                }
            }
            for (i; i <= dataLength; i++) {
                // when a new group is entered, summarize and initialize
                // the previous group
                while ((typeof groupPositions[pos + 1] !== 'undefined' &&
                    xData[i] >= groupPositions[pos + 1]) ||
                    i === dataLength) { // get the last group
                    // get group x and y
                    pointX = groupPositions[pos];
                    series.dataGroupInfo = {
                        start: series.cropStart + start,
                        length: values[0].length
                    };
                    groupedY = approximationFn.apply(series, values);
                    // By default, let options of the first grouped point be passed over
                    // to the grouped point. This allows preserving properties like
                    // `name` and `color` or custom properties. Implementers can
                    // override this from the approximation function, where they can
                    // write custom options to `this.dataGroupInfo.options`.
                    if (series.pointClass && !defined(series.dataGroupInfo.options)) {
                        // Convert numbers and arrays into objects
                        series.dataGroupInfo.options = merge(series.pointClass.prototype
                            .optionsToObject.call({ series: series }, series.options.data[series.cropStart + start]));
                        // Make sure the raw data (x, y, open, high etc) is not copied
                        // over and overwriting approximated data.
                        extendedPointArrayMap.forEach(function (key) {
                            delete series.dataGroupInfo.options[key];
                        });
                    }
                    // push the grouped data
                    if (typeof groupedY !== 'undefined') {
                        groupedXData.push(pointX);
                        groupedYData.push(groupedY);
                        groupMap.push(series.dataGroupInfo);
                    }
                    // reset the aggregate arrays
                    start = i;
                    for (j = 0; j < valuesLen; j++) {
                        values[j].length = 0; // faster than values[j] = []
                        values[j].hasNulls = false;
                    }
                    // Advance on the group positions
                    pos += 1;
                    // don't loop beyond the last group
                    if (i === dataLength) {
                        break;
                    }
                }
                // break out
                if (i === dataLength) {
                    break;
                }
                // for each raw data point, push it to an array that contains all values
                // for this specific group
                if (pointArrayMap) {
                    var index = series.cropStart + i, point = (data && data[index]) ||
                        series.pointClass.prototype.applyOptions.apply({
                            series: series
                        }, [dataOptions[index]]), val;
                    for (j = 0; j < pointArrayMapLength; j++) {
                        val = point[pointArrayMap[j]];
                        if (isNumber(val)) {
                            values[j].push(val);
                        }
                        else if (val === null) {
                            values[j].hasNulls = true;
                        }
                    }
                }
                else {
                    pointY = handleYData ? yData[i] : null;
                    if (isNumber(pointY)) {
                        values[0].push(pointY);
                    }
                    else if (pointY === null) {
                        values[0].hasNulls = true;
                    }
                }
            }
            return {
                groupedXData: groupedXData,
                groupedYData: groupedYData,
                groupMap: groupMap
            };
        };
        var dataGrouping = {
            approximations: approximations,
            groupData: groupData
        };
        // -----------------------------------------------------------------------------
        // The following code applies to implementation of data grouping on a Series
        var seriesProto = Series.prototype, baseProcessData = seriesProto.processData, baseGeneratePoints = seriesProto.generatePoints, 
        /** @ignore */
        commonOptions = {
            // enabled: null, // (true for stock charts, false for basic),
            // forced: undefined,
            groupPixelWidth: 2,
            // the first one is the point or start value, the second is the start
            // value if we're dealing with range, the third one is the end value if
            // dealing with a range
            dateTimeLabelFormats: {
                millisecond: [
                    '%A, %b %e, %H:%M:%S.%L',
                    '%A, %b %e, %H:%M:%S.%L',
                    '-%H:%M:%S.%L'
                ],
                second: [
                    '%A, %b %e, %H:%M:%S',
                    '%A, %b %e, %H:%M:%S',
                    '-%H:%M:%S'
                ],
                minute: [
                    '%A, %b %e, %H:%M',
                    '%A, %b %e, %H:%M',
                    '-%H:%M'
                ],
                hour: [
                    '%A, %b %e, %H:%M',
                    '%A, %b %e, %H:%M',
                    '-%H:%M'
                ],
                day: [
                    '%A, %b %e, %Y',
                    '%A, %b %e',
                    '-%A, %b %e, %Y'
                ],
                week: [
                    'Week from %A, %b %e, %Y',
                    '%A, %b %e',
                    '-%A, %b %e, %Y'
                ],
                month: [
                    '%B %Y',
                    '%B',
                    '-%B %Y'
                ],
                year: [
                    '%Y',
                    '%Y',
                    '-%Y'
                ]
            }
            // smoothed = false, // enable this for navigator series only
        }, specificOptions = {
            line: {},
            spline: {},
            area: {},
            areaspline: {},
            arearange: {},
            column: {
                groupPixelWidth: 10
            },
            columnrange: {
                groupPixelWidth: 10
            },
            candlestick: {
                groupPixelWidth: 10
            },
            ohlc: {
                groupPixelWidth: 5
            }
        }, 
        // units are defined in a separate array to allow complete overriding in
        // case of a user option
        defaultDataGroupingUnits = H.defaultDataGroupingUnits = [
            [
                'millisecond',
                [1, 2, 5, 10, 20, 25, 50, 100, 200, 500] // allowed multiples
            ], [
                'second',
                [1, 2, 5, 10, 15, 30]
            ], [
                'minute',
                [1, 2, 5, 10, 15, 30]
            ], [
                'hour',
                [1, 2, 3, 4, 6, 8, 12]
            ], [
                'day',
                [1]
            ], [
                'week',
                [1]
            ], [
                'month',
                [1, 3, 6]
            ], [
                'year',
                null
            ]
        ];
        // Set default approximations to the prototypes if present. Properties are
        // inherited down. Can be overridden for individual series types.
        seriesProto.getDGApproximation = function () {
            if (H.seriesTypes.arearange && this instanceof H.seriesTypes.arearange) {
                return 'range';
            }
            if (H.seriesTypes.ohlc && this instanceof H.seriesTypes.ohlc) {
                return 'ohlc';
            }
            if (H.seriesTypes.column && this instanceof H.seriesTypes.column) {
                return 'sum';
            }
            return 'average';
        };
        /**
         * Takes parallel arrays of x and y data and groups the data into intervals
         * defined by groupPositions, a collection of starting x values for each group.
         *
         * @private
         * @function Highcharts.Series#groupData
         *
         * @param {Array<number>} xData
         *
         * @param {Array<number>|Array<Array<number>>} yData
         *
         * @param {boolean} groupPositions
         *
         * @param {string|Function} approximation
         *
         * @return {void}
         */
        seriesProto.groupData = groupData;
        // Extend the basic processData method, that crops the data to the current zoom
        // range, with data grouping logic.
        seriesProto.processData = function () {
            var series = this, chart = series.chart, options = series.options, dataGroupingOptions = options.dataGrouping, groupingEnabled = series.allowDG !== false && dataGroupingOptions &&
                pick(dataGroupingOptions.enabled, chart.options.isStock), visible = (series.visible || !chart.options.chart.ignoreHiddenSeries), hasGroupedData, skip, lastDataGrouping = this.currentDataGrouping, currentDataGrouping, croppedData, revertRequireSorting = false;
            // Run base method
            series.forceCrop = groupingEnabled; // #334
            series.groupPixelWidth = null; // #2110
            series.hasProcessed = true; // #2692
            // Data needs to be sorted for dataGrouping
            if (groupingEnabled && !series.requireSorting) {
                series.requireSorting = revertRequireSorting = true;
            }
            // Skip if processData returns false or if grouping is disabled (in that
            // order)
            skip = (baseProcessData.apply(series, arguments) === false ||
                !groupingEnabled);
            // Revert original requireSorting value if changed
            if (revertRequireSorting) {
                series.requireSorting = false;
            }
            if (!skip) {
                series.destroyGroupedData();
                var i, processedXData = dataGroupingOptions.groupAll ?
                    series.xData :
                    series.processedXData, processedYData = dataGroupingOptions.groupAll ?
                    series.yData :
                    series.processedYData, plotSizeX = chart.plotSizeX, xAxis = series.xAxis, ordinal = xAxis.options.ordinal, groupPixelWidth = series.groupPixelWidth =
                    xAxis.getGroupPixelWidth && xAxis.getGroupPixelWidth();
                // Execute grouping if the amount of points is greater than the limit
                // defined in groupPixelWidth
                if (groupPixelWidth) {
                    hasGroupedData = true;
                    // Force recreation of point instances in series.translate, #5699
                    series.isDirty = true;
                    series.points = null; // #6709
                    var extremes = xAxis.getExtremes(), xMin = extremes.min, xMax = extremes.max, groupIntervalFactor = (ordinal &&
                        xAxis.getGroupIntervalFactor(xMin, xMax, series)) || 1, interval = (groupPixelWidth * (xMax - xMin) / plotSizeX) *
                        groupIntervalFactor, groupPositions = xAxis.getTimeTicks(xAxis.normalizeTimeTickInterval(interval, dataGroupingOptions.units ||
                        defaultDataGroupingUnits), 
                    // Processed data may extend beyond axis (#4907)
                    Math.min(xMin, processedXData[0]), Math.max(xMax, processedXData[processedXData.length - 1]), xAxis.options.startOfWeek, processedXData, series.closestPointRange), groupedData = seriesProto.groupData.apply(series, [
                        processedXData,
                        processedYData,
                        groupPositions,
                        dataGroupingOptions.approximation
                    ]), groupedXData = groupedData.groupedXData, groupedYData = groupedData.groupedYData, gapSize = 0;
                    // Prevent the smoothed data to spill out left and right, and make
                    // sure data is not shifted to the left
                    if (dataGroupingOptions.smoothed && groupedXData.length) {
                        i = groupedXData.length - 1;
                        groupedXData[i] = Math.min(groupedXData[i], xMax);
                        while (i-- && i > 0) {
                            groupedXData[i] += interval / 2;
                        }
                        groupedXData[0] = Math.max(groupedXData[0], xMin);
                    }
                    // Record what data grouping values were used
                    for (i = 1; i < groupPositions.length; i++) {
                        // The grouped gapSize needs to be the largest distance between
                        // the group to capture varying group sizes like months or DST
                        // crossing (#10000). Also check that the gap is not at the
                        // start of a segment.
                        if (!groupPositions.info.segmentStarts ||
                            groupPositions.info.segmentStarts.indexOf(i) === -1) {
                            gapSize = Math.max(groupPositions[i] - groupPositions[i - 1], gapSize);
                        }
                    }
                    currentDataGrouping = groupPositions.info;
                    currentDataGrouping.gapSize = gapSize;
                    series.closestPointRange = groupPositions.info.totalRange;
                    series.groupMap = groupedData.groupMap;
                    // Make sure the X axis extends to show the first group (#2533)
                    // But only for visible series (#5493, #6393)
                    if (defined(groupedXData[0]) &&
                        groupedXData[0] < xAxis.min &&
                        visible) {
                        if ((!defined(xAxis.options.min) &&
                            xAxis.min <= xAxis.dataMin) ||
                            xAxis.min === xAxis.dataMin) {
                            xAxis.min = Math.min(groupedXData[0], xAxis.min);
                        }
                        xAxis.dataMin = Math.min(groupedXData[0], xAxis.dataMin);
                    }
                    // We calculated all group positions but we should render
                    // only the ones within the visible range
                    if (dataGroupingOptions.groupAll) {
                        croppedData = series.cropData(groupedXData, groupedYData, xAxis.min, xAxis.max, 1 // Ordinal xAxis will remove left-most points otherwise
                        );
                        groupedXData = croppedData.xData;
                        groupedYData = croppedData.yData;
                    }
                    // Set series props
                    series.processedXData = groupedXData;
                    series.processedYData = groupedYData;
                }
                else {
                    series.groupMap = null;
                }
                series.hasGroupedData = hasGroupedData;
                series.currentDataGrouping = currentDataGrouping;
                series.preventGraphAnimation =
                    (lastDataGrouping && lastDataGrouping.totalRange) !==
                        (currentDataGrouping && currentDataGrouping.totalRange);
            }
        };
        // Destroy the grouped data points. #622, #740
        seriesProto.destroyGroupedData = function () {
            // Clear previous groups
            if (this.groupedData) {
                this.groupedData.forEach(function (point, i) {
                    if (point) {
                        this.groupedData[i] = point.destroy ?
                            point.destroy() : null;
                    }
                }, this);
                // Clears all:
                // - `this.groupedData`
                // - `this.points`
                // - `preserve` object in series.update()
                this.groupedData.length = 0;
            }
        };
        // Override the generatePoints method by adding a reference to grouped data
        seriesProto.generatePoints = function () {
            baseGeneratePoints.apply(this);
            // Record grouped data in order to let it be destroyed the next time
            // processData runs
            this.destroyGroupedData(); // #622
            this.groupedData = this.hasGroupedData ? this.points : null;
        };
        // Override point prototype to throw a warning when trying to update grouped
        // points.
        addEvent(Point, 'update', function () {
            if (this.dataGroup) {
                H.error(24, false, this.series.chart);
                return false;
            }
        });
        // Extend the original method, make the tooltip's header reflect the grouped
        // range.
        addEvent(Tooltip, 'headerFormatter', function (e) {
            var tooltip = this, chart = this.chart, time = chart.time, labelConfig = e.labelConfig, series = labelConfig.series, options = series.options, tooltipOptions = series.tooltipOptions, dataGroupingOptions = options.dataGrouping, xDateFormat = tooltipOptions.xDateFormat, xDateFormatEnd, xAxis = series.xAxis, currentDataGrouping, dateTimeLabelFormats, labelFormats, formattedKey, formatString = tooltipOptions[(e.isFooter ? 'footer' : 'header') + 'Format'];
            // apply only to grouped series
            if (xAxis &&
                xAxis.options.type === 'datetime' &&
                dataGroupingOptions &&
                isNumber(labelConfig.key)) {
                // set variables
                currentDataGrouping = series.currentDataGrouping;
                dateTimeLabelFormats = dataGroupingOptions.dateTimeLabelFormats ||
                    // Fallback to commonOptions (#9693)
                    commonOptions.dateTimeLabelFormats;
                // if we have grouped data, use the grouping information to get the
                // right format
                if (currentDataGrouping) {
                    labelFormats =
                        dateTimeLabelFormats[currentDataGrouping.unitName];
                    if (currentDataGrouping.count === 1) {
                        xDateFormat = labelFormats[0];
                    }
                    else {
                        xDateFormat = labelFormats[1];
                        xDateFormatEnd = labelFormats[2];
                    }
                    // if not grouped, and we don't have set the xDateFormat option, get the
                    // best fit, so if the least distance between points is one minute, show
                    // it, but if the least distance is one day, skip hours and minutes etc.
                }
                else if (!xDateFormat && dateTimeLabelFormats) {
                    xDateFormat = tooltip.getXDateFormat(labelConfig, tooltipOptions, xAxis);
                }
                // now format the key
                formattedKey = time.dateFormat(xDateFormat, labelConfig.key);
                if (xDateFormatEnd) {
                    formattedKey += time.dateFormat(xDateFormatEnd, labelConfig.key + currentDataGrouping.totalRange - 1);
                }
                // Replace default header style with class name
                if (series.chart.styledMode) {
                    formatString = this.styledModeFormat(formatString);
                }
                // return the replaced format
                e.text = format(formatString, {
                    point: extend(labelConfig.point, { key: formattedKey }),
                    series: series
                }, chart);
                e.preventDefault();
            }
        });
        // Destroy grouped data on series destroy
        addEvent(Series, 'destroy', seriesProto.destroyGroupedData);
        // Handle default options for data grouping. This must be set at runtime because
        // some series types are defined after this.
        addEvent(Series, 'afterSetOptions', function (e) {
            var options = e.options, type = this.type, plotOptions = this.chart.options.plotOptions, defaultOptions = defaultPlotOptions[type].dataGrouping, 
            // External series, for example technical indicators should also
            // inherit commonOptions which are not available outside this module
            baseOptions = this.useCommonDataGrouping && commonOptions;
            if (specificOptions[type] || baseOptions) { // #1284
                if (!defaultOptions) {
                    defaultOptions = merge(commonOptions, specificOptions[type]);
                }
                options.dataGrouping = merge(baseOptions, defaultOptions, plotOptions.series && plotOptions.series.dataGrouping, // #1228
                // Set by the StockChart constructor:
                plotOptions[type].dataGrouping, this.userOptions.dataGrouping);
            }
        });
        // When resetting the scale reset the hasProccessed flag to avoid taking
        // previous data grouping of neighbour series into accound when determining
        // group pixel width (#2692).
        addEvent(Axis, 'afterSetScale', function () {
            this.series.forEach(function (series) {
                series.hasProcessed = false;
            });
        });
        // Get the data grouping pixel width based on the greatest defined individual
        // width of the axis' series, and if whether one of the axes need grouping.
        Axis.prototype.getGroupPixelWidth = function () {
            var series = this.series, len = series.length, i, groupPixelWidth = 0, doGrouping = false, dataLength, dgOptions;
            // If multiple series are compared on the same x axis, give them the same
            // group pixel width (#334)
            i = len;
            while (i--) {
                dgOptions = series[i].options.dataGrouping;
                if (dgOptions) {
                    groupPixelWidth = Math.max(groupPixelWidth, 
                    // Fallback to commonOptions (#9693)
                    pick(dgOptions.groupPixelWidth, commonOptions.groupPixelWidth));
                }
            }
            // If one of the series needs grouping, apply it to all (#1634)
            i = len;
            while (i--) {
                dgOptions = series[i].options.dataGrouping;
                if (dgOptions && series[i].hasProcessed) { // #2692
                    dataLength = (series[i].processedXData || series[i].data).length;
                    // Execute grouping if the amount of points is greater than the
                    // limit defined in groupPixelWidth
                    if (series[i].groupPixelWidth ||
                        dataLength >
                            (this.chart.plotSizeX / groupPixelWidth) ||
                        (dataLength && dgOptions.forced)) {
                        doGrouping = true;
                    }
                }
            }
            return doGrouping ? groupPixelWidth : 0;
        };
        /**
         * Highstock only. Force data grouping on all the axis' series.
         *
         * @product highstock
         *
         * @function Highcharts.Axis#setDataGrouping
         *
         * @param {boolean|Highcharts.DataGroupingOptionsObject} [dataGrouping]
         *        A `dataGrouping` configuration. Use `false` to disable data grouping
         *        dynamically.
         *
         * @param {boolean} [redraw=true]
         *        Whether to redraw the chart or wait for a later call to
         *        {@link Chart#redraw}.
         *
         * @return {void}
         */
        Axis.prototype.setDataGrouping = function (dataGrouping, redraw) {
            var i;
            redraw = pick(redraw, true);
            if (!dataGrouping) {
                dataGrouping = {
                    forced: false,
                    units: null
                };
            }
            // Axis is instantiated, update all series
            if (this instanceof Axis) {
                i = this.series.length;
                while (i--) {
                    this.series[i].update({
                        dataGrouping: dataGrouping
                    }, false);
                }
                // Axis not yet instanciated, alter series options
            }
            else {
                this.chart.options.series.forEach(function (seriesOptions) {
                    seriesOptions.dataGrouping = dataGrouping;
                }, false);
            }
            // Clear ordinal slope, so we won't accidentaly use the old one (#7827)
            this.ordinalSlope = null;
            if (redraw) {
                this.chart.redraw();
            }
        };
        H.dataGrouping = dataGrouping;
        /* eslint-enable no-invalid-this, valid-jsdoc */
        /**
         * Data grouping is the concept of sampling the data values into larger
         * blocks in order to ease readability and increase performance of the
         * JavaScript charts. Highstock by default applies data grouping when
         * the points become closer than a certain pixel value, determined by
         * the `groupPixelWidth` option.
         *
         * If data grouping is applied, the grouping information of grouped
         * points can be read from the [Point.dataGroup](
         * /class-reference/Highcharts.Point#dataGroup). If point options other than
         * the data itself are set, for example `name` or `color` or custom properties,
         * the grouping logic doesn't know how to group it. In this case the options of
         * the first point instance are copied over to the group point. This can be
         * altered through a custom `approximation` callback function.
         *
         * @declare   Highcharts.DataGroupingOptionsObject
         * @product   highstock
         * @requires  modules/datagrouping
         * @apioption plotOptions.series.dataGrouping
         */
        /**
         * The method of approximation inside a group. When for example 30 days
         * are grouped into one month, this determines what value should represent
         * the group. Possible values are "average", "averages", "open", "high",
         * "low", "close" and "sum". For OHLC and candlestick series the approximation
         * is "ohlc" by default, which finds the open, high, low and close values
         * within all the grouped data. For ranges, the approximation is "range",
         * which finds the low and high values. For multi-dimensional data,
         * like ranges and OHLC, "averages" will compute the average for each
         * dimension.
         *
         * Custom aggregate methods can be added by assigning a callback function
         * as the approximation. This function takes a numeric array as the
         * argument and should return a single numeric value or `null`. Note
         * that the numeric array will never contain null values, only true
         * numbers. Instead, if null values are present in the raw data, the
         * numeric array will have an `.hasNulls` property set to `true`. For
         * single-value data sets the data is available in the first argument
         * of the callback function. For OHLC data sets, all the open values
         * are in the first argument, all high values in the second etc.
         *
         * Since v4.2.7, grouping meta data is available in the approximation
         * callback from `this.dataGroupInfo`. It can be used to extract information
         * from the raw data.
         *
         * Defaults to `average` for line-type series, `sum` for columns, `range`
         * for range series and `ohlc` for OHLC and candlestick.
         *
         * @sample {highstock} stock/plotoptions/series-datagrouping-approximation
         *         Approximation callback with custom data
         *
         * @type       {Highcharts.DataGroupingApproximationValue|Function}
         * @product    highstock
         * @apioption  plotOptions.series.dataGrouping.approximation
         */
        /**
         * Datetime formats for the header of the tooltip in a stock chart.
         * The format can vary within a chart depending on the currently selected
         * time range and the current data grouping.
         *
         * The default formats are:
         * ```js
         * {
         *     millisecond: [
         *         '%A, %b %e, %H:%M:%S.%L', '%A, %b %e, %H:%M:%S.%L', '-%H:%M:%S.%L'
         *     ],
         *     second: ['%A, %b %e, %H:%M:%S', '%A, %b %e, %H:%M:%S', '-%H:%M:%S'],
         *     minute: ['%A, %b %e, %H:%M', '%A, %b %e, %H:%M', '-%H:%M'],
         *     hour: ['%A, %b %e, %H:%M', '%A, %b %e, %H:%M', '-%H:%M'],
         *     day: ['%A, %b %e, %Y', '%A, %b %e', '-%A, %b %e, %Y'],
         *     week: ['Week from %A, %b %e, %Y', '%A, %b %e', '-%A, %b %e, %Y'],
         *     month: ['%B %Y', '%B', '-%B %Y'],
         *     year: ['%Y', '%Y', '-%Y']
         * }
         * ```
         *
         * For each of these array definitions, the first item is the format
         * used when the active time span is one unit. For instance, if the
         * current data applies to one week, the first item of the week array
         * is used. The second and third items are used when the active time
         * span is more than two units. For instance, if the current data applies
         * to two weeks, the second and third item of the week array are used,
         *  and applied to the start and end date of the time span.
         *
         * @type      {object}
         * @product   highstock
         * @apioption plotOptions.series.dataGrouping.dateTimeLabelFormats
         */
        /**
         * Enable or disable data grouping.
         *
         * @type      {boolean}
         * @default   true
         * @product   highstock
         * @apioption plotOptions.series.dataGrouping.enabled
         */
        /**
         * When data grouping is forced, it runs no matter how small the intervals
         * are. This can be handy for example when the sum should be calculated
         * for values appearing at random times within each hour.
         *
         * @type      {boolean}
         * @default   false
         * @product   highstock
         * @apioption plotOptions.series.dataGrouping.forced
         */
        /**
         * The approximate pixel width of each group. If for example a series
         * with 30 points is displayed over a 600 pixel wide plot area, no grouping
         * is performed. If however the series contains so many points that
         * the spacing is less than the groupPixelWidth, Highcharts will try
         * to group it into appropriate groups so that each is more or less
         * two pixels wide. If multiple series with different group pixel widths
         * are drawn on the same x axis, all series will take the greatest width.
         * For example, line series have 2px default group width, while column
         * series have 10px. If combined, both the line and the column will
         * have 10px by default.
         *
         * @type      {number}
         * @default   2
         * @product   highstock
         * @apioption plotOptions.series.dataGrouping.groupPixelWidth
         */
        /**
         * By default only points within the visible range are grouped. Enabling this
         * option will force data grouping to calculate all grouped points for a given
         * dataset. That option prevents for example a column series from calculating
         * a grouped point partially. The effect is similar to
         * [Series.getExtremesFromAll](#plotOptions.series.getExtremesFromAll) but does
         * not affect yAxis extremes.
         *
         * @sample {highstock} stock/plotoptions/series-datagrouping-groupall/
         *         Two series with the same data but different groupAll setting
         *
         * @type      {boolean}
         * @default   false
         * @since     6.1.0
         * @product   highstock
         * @apioption plotOptions.series.dataGrouping.groupAll
         */
        /**
         * Normally, a group is indexed by the start of that group, so for example
         * when 30 daily values are grouped into one month, that month's x value
         * will be the 1st of the month. This apparently shifts the data to
         * the left. When the smoothed option is true, this is compensated for.
         * The data is shifted to the middle of the group, and min and max
         * values are preserved. Internally, this is used in the Navigator series.
         *
         * @type      {boolean}
         * @default   false
         * @product   highstock
         * @apioption plotOptions.series.dataGrouping.smoothed
         */
        /**
         * An array determining what time intervals the data is allowed to be
         * grouped to. Each array item is an array where the first value is
         * the time unit and the second value another array of allowed multiples.
         *
         * Defaults to:
         * ```js
         * units: [[
         *     'millisecond', // unit name
         *     [1, 2, 5, 10, 20, 25, 50, 100, 200, 500] // allowed multiples
         * ], [
         *     'second',
         *     [1, 2, 5, 10, 15, 30]
         * ], [
         *     'minute',
         *     [1, 2, 5, 10, 15, 30]
         * ], [
         *     'hour',
         *     [1, 2, 3, 4, 6, 8, 12]
         * ], [
         *     'day',
         *     [1]
         * ], [
         *     'week',
         *     [1]
         * ], [
         *     'month',
         *     [1, 3, 6]
         * ], [
         *     'year',
         *     null
         * ]]
         * ```
         *
         * @type      {Array<Array<string,(Array<number>|null)>>}
         * @product   highstock
         * @apioption plotOptions.series.dataGrouping.units
         */
        /**
         * The approximate pixel width of each group. If for example a series
         * with 30 points is displayed over a 600 pixel wide plot area, no grouping
         * is performed. If however the series contains so many points that
         * the spacing is less than the groupPixelWidth, Highcharts will try
         * to group it into appropriate groups so that each is more or less
         * two pixels wide. Defaults to `10`.
         *
         * @sample {highstock} stock/plotoptions/series-datagrouping-grouppixelwidth/
         *         Two series with the same data density but different groupPixelWidth
         *
         * @type      {number}
         * @default   10
         * @product   highstock
         * @apioption plotOptions.column.dataGrouping.groupPixelWidth
         */
        ''; // required by JSDoc parsing

        return dataGrouping;
    });
    _registerModule(_modules, 'masters/modules/datagrouping.src.js', [_modules['parts/DataGrouping.js']], function (dataGrouping) {


        return dataGrouping;
    });
}));