/**
 * @license  Highcharts JS v7.0.3 (2019-02-06)
 *
 * 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(function () {
            return factory;
        });
    } else {
        factory(typeof Highcharts !== 'undefined' ? Highcharts : undefined);
    }
}(function (Highcharts) {
    var dataGrouping = (function (H) {
        /* *
         *
         *  (c) 2010-2019 Torstein Honsi
         *
         *  License: www.highcharts.com/license
         *
         * */



        var addEvent = H.addEvent,
            arrayMax = H.arrayMax,
            arrayMin = H.arrayMin,
            Axis = H.Axis,
            defaultPlotOptions = H.defaultPlotOptions,
            defined = H.defined,
            extend = H.extend,
            format = H.format,
            isNumber = H.isNumber,
            merge = H.merge,
            pick = H.pick,
            Point = H.Point,
            Series = H.Series,
            Tooltip = H.Tooltip;

        /* ************************************************************************** *
         *  Start data grouping module                                                *
         * ************************************************************************** */

        /**
         * 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.
         *
         * @product   highstock
         * @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       {string|Function}
         * @validvalue ["average", "averages", "open", "high", "low", "close", "sum"]
         * @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:
         *
         * <pre>{
         *     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']
         * }</pre>
         *
         * 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:
         *
         * <pre>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
         * ]]</pre>
         *
         * @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
         */


        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 = ret / len;
                }

                return ret;
            },
            // The same as average, but for series with multiple values, like area
            // ranges.
            averages: function () { // #5479
                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 ret[0] === undefined ? undefined : ret;
            },
            open: function (arr) {
                return arr.length ? arr[0] : (arr.hasNulls ? null : undefined);
            },
            high: function (arr) {
                return arr.length ?
                    arrayMax(arr) :
                    (arr.hasNulls ? null : undefined);
            },
            low: function (arr) {
                return arr.length ?
                    arrayMin(arr) :
                    (arr.hasNulls ? null : undefined);
            },
            close: function (arr) {
                return arr.length ?
                    arr[arr.length - 1] :
                    (arr.hasNulls ? null : undefined);
            },
            // 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;

            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 (
                    (
                        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) { // eslint-disable-line
                            delete series.dataGroupInfo.options[key];
                        });
                    }

                    // push the grouped data
                    if (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 = { // extends common options
                line: {},
                spline: {},
                area: {},
                areaspline: {},
                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', // 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
                ]
            ];


        // 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';
        };

        /**
         * 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>}
         */

        /**
         * 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>} yData
         *
         * @param {boolean} groupPositions
         *
         * @param {string|Function} approximation
         *
         * @return {Array<Array<number>,Array<number>,Array<object>>}
         */
        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.dataMin &&
                        visible
                    ) {
                        if (
                            (
                                !defined(xAxis.options.min) &&
                                xAxis.min <= xAxis.dataMin
                            ) ||
                            xAxis.min === xAxis.dataMin
                        ) {
                            xAxis.min = groupedXData[0];
                        }
                        xAxis.dataMin = groupedXData[0];
                    }

                    // 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 () {

            var groupedData = this.groupedData;

            // clear previous groups
            (groupedData || []).forEach(function (point, i) {
                if (point) {
                    groupedData[i] = point.destroy ? point.destroy() : null;
                }
            });
            this.groupedData = null;
        };

        // 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,
                time = this.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
                    },
                    time
                );

                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
                    plotOptions[type].dataGrouping, // Set by the StockChart constructor
                    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.PlotSeriesDataGroupingOptions} [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}.
         */
        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;

        /* ************************************************************************** *
         *  End data grouping module                                                  *
         * ************************************************************************** */

        return dataGrouping;
    }(Highcharts));
    return (function (dataGrouping) {


        return dataGrouping;
    }(dataGrouping));
}));
