1 line
47 KiB
Plaintext
1 line
47 KiB
Plaintext
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1,\r\n thousandsSep: ',',\r\n decimalSep: '.',\r\n prefix: '',\r\n suffix: '',\r\n };\r\n const opts = Object.assign({}, defaults, opts_in);\r\n return function(x) {\r\n if (isNaN(x) || !isFinite(x)) {\r\n return '';\r\n }\r\n const result = addSeparators(\r\n (opts.scaler * x).toFixed(opts.digitsAfterDecimal),\r\n opts.thousandsSep,\r\n opts.decimalSep\r\n );\r\n return `${opts.prefix}${result}${opts.suffix}`;\r\n };\r\n};\r\n\r\nconst rx = /(\\d+)|(\\D+)/g;\r\nconst rd = /\\d/;\r\nconst rz = /^0/;\r\nconst naturalSort = (as, bs) => {\r\n // nulls first\r\n if (bs !== null && as === null) {\r\n return -1;\r\n }\r\n if (as !== null && bs === null) {\r\n return 1;\r\n }\r\n\r\n // then raw NaNs\r\n if (typeof as === 'number' && isNaN(as)) {\r\n return -1;\r\n }\r\n if (typeof bs === 'number' && isNaN(bs)) {\r\n return 1;\r\n }\r\n\r\n // numbers and numbery strings group together\r\n const nas = Number(as);\r\n const nbs = Number(bs);\r\n if (nas < nbs) {\r\n return -1;\r\n }\r\n if (nas > nbs) {\r\n return 1;\r\n }\r\n\r\n // within that, true numbers before numbery strings\r\n if (typeof as === 'number' && typeof bs !== 'number') {\r\n return -1;\r\n }\r\n if (typeof bs === 'number' && typeof as !== 'number') {\r\n return 1;\r\n }\r\n if (typeof as === 'number' && typeof bs === 'number') {\r\n return 0;\r\n }\r\n\r\n // 'Infinity' is a textual number, so less than 'A'\r\n if (isNaN(nbs) && !isNaN(nas)) {\r\n return -1;\r\n }\r\n if (isNaN(nas) && !isNaN(nbs)) {\r\n return 1;\r\n }\r\n\r\n // finally, \"smart\" string sorting per http://stackoverflow.com/a/4373421/112871\r\n let a = String(as);\r\n let b = String(bs);\r\n if (a === b) {\r\n return 0;\r\n }\r\n if (!rd.test(a) || !rd.test(b)) {\r\n return a > b ? 1 : -1;\r\n }\r\n\r\n // special treatment for strings containing digits\r\n a = a.match(rx);\r\n b = b.match(rx);\r\n while (a.length && b.length) {\r\n const a1 = a.shift();\r\n const b1 = b.shift();\r\n if (a1 !== b1) {\r\n if (rd.test(a1) && rd.test(b1)) {\r\n return a1.replace(rz, '.0') - b1.replace(rz, '.0');\r\n }\r\n return a1 > b1 ? 1 : -1;\r\n }\r\n }\r\n return a.length - b.length;\r\n};\r\n\r\nconst sortAs = function(order) {\r\n const mapping = {};\r\n\r\n // sort lowercased keys similarly\r\n const l_mapping = {};\r\n for (const i in order) {\r\n const x = order[i];\r\n mapping[x] = i;\r\n if (typeof x === 'string') {\r\n l_mapping[x.toLowerCase()] = i;\r\n }\r\n }\r\n return function(a, b) {\r\n if (a in mapping && b in mapping) {\r\n return mapping[a] - mapping[b];\r\n } else if (a in mapping) {\r\n return -1;\r\n } else if (b in mapping) {\r\n return 1;\r\n } else if (a in l_mapping && b in l_mapping) {\r\n return l_mapping[a] - l_mapping[b];\r\n } else if (a in l_mapping) {\r\n return -1;\r\n } else if (b in l_mapping) {\r\n return 1;\r\n }\r\n return naturalSort(a, b);\r\n };\r\n};\r\n\r\nconst getSort = function(sorters, attr) {\r\n if (sorters) {\r\n if (typeof sorters === 'function') {\r\n const sort = sorters(attr);\r\n if (typeof sort === 'function') {\r\n return sort;\r\n }\r\n } else if (attr in sorters) {\r\n return sorters[attr];\r\n }\r\n }\r\n return naturalSort;\r\n};\r\n\r\n// aggregator templates default to US number formatting but this is overrideable\r\nconst usFmt = numberFormat();\r\nconst usFmtInt = numberFormat({digitsAfterDecimal: 0});\r\nconst usFmtPct = numberFormat({\r\n digitsAfterDecimal: 1,\r\n scaler: 100,\r\n suffix: '%',\r\n});\r\n\r\nconst aggregatorTemplates = {\r\n count(formatter = usFmtInt) {\r\n return () =>\r\n function() {\r\n return {\r\n count: 0,\r\n push() {\r\n this.count++;\r\n },\r\n value() {\r\n return this.count;\r\n },\r\n format: formatter,\r\n };\r\n };\r\n },\r\n\r\n uniques(fn, formatter = usFmtInt) {\r\n return function([attr]) {\r\n return function() {\r\n return {\r\n uniq: [],\r\n push(record) {\r\n if (!Array.from(this.uniq).includes(record[attr])) {\r\n this.uniq.push(record[attr]);\r\n }\r\n },\r\n value() {\r\n return fn(this.uniq);\r\n },\r\n format: formatter,\r\n numInputs: typeof attr !== 'undefined' ? 0 : 1,\r\n };\r\n };\r\n };\r\n },\r\n\r\n sum(formatter = usFmt) {\r\n return function([attr]) {\r\n return function() {\r\n return {\r\n sum: 0,\r\n push(record) {\r\n if (!isNaN(parseFloat(record[attr]))) {\r\n this.sum += parseFloat(record[attr]);\r\n }\r\n },\r\n value() {\r\n return this.sum;\r\n },\r\n format: formatter,\r\n numInputs: typeof attr !== 'undefined' ? 0 : 1,\r\n };\r\n };\r\n };\r\n },\r\n\r\n extremes(mode, formatter = usFmt) {\r\n return function([attr]) {\r\n return function(data) {\r\n return {\r\n val: null,\r\n sorter: getSort(\r\n typeof data !== 'undefined' ? data.sorters : null,\r\n attr\r\n ),\r\n push(record) {\r\n let x = record[attr];\r\n if (['min', 'max'].includes(mode)) {\r\n x = parseFloat(x);\r\n if (!isNaN(x)) {\r\n this.val = Math[mode](x, this.val !== null ? this.val : x);\r\n }\r\n }\r\n if (\r\n mode === 'first' &&\r\n this.sorter(x, this.val !== null ? this.val : x) <= 0\r\n ) {\r\n this.val = x;\r\n }\r\n if (\r\n mode === 'last' &&\r\n this.sorter(x, this.val !== null ? this.val : x) >= 0\r\n ) {\r\n this.val = x;\r\n }\r\n },\r\n value() {\r\n return this.val;\r\n },\r\n format(x) {\r\n if (isNaN(x)) {\r\n return x;\r\n }\r\n return formatter(x);\r\n },\r\n numInputs: typeof attr !== 'undefined' ? 0 : 1,\r\n };\r\n };\r\n };\r\n },\r\n\r\n quantile(q, formatter = usFmt) {\r\n return function([attr]) {\r\n return function() {\r\n return {\r\n vals: [],\r\n push(record) {\r\n const x = parseFloat(record[attr]);\r\n if (!isNaN(x)) {\r\n this.vals.push(x);\r\n }\r\n },\r\n value() {\r\n if (this.vals.length === 0) {\r\n return null;\r\n }\r\n this.vals.sort((a, b) => a - b);\r\n const i = (this.vals.length - 1) * q;\r\n return (this.vals[Math.floor(i)] + this.vals[Math.ceil(i)]) / 2.0;\r\n },\r\n format: formatter,\r\n numInputs: typeof attr !== 'undefined' ? 0 : 1,\r\n };\r\n };\r\n };\r\n },\r\n\r\n runningStat(mode = 'mean', ddof = 1, formatter = usFmt) {\r\n return function([attr]) {\r\n return function() {\r\n return {\r\n n: 0.0,\r\n m: 0.0,\r\n s: 0.0,\r\n push(record) {\r\n const x = parseFloat(record[attr]);\r\n if (isNaN(x)) {\r\n return;\r\n }\r\n this.n += 1.0;\r\n if (this.n === 1.0) {\r\n this.m = x;\r\n }\r\n const m_new = this.m + (x - this.m) / this.n;\r\n this.s = this.s + (x - this.m) * (x - m_new);\r\n this.m = m_new;\r\n },\r\n value() {\r\n if (mode === 'mean') {\r\n if (this.n === 0) {\r\n return 0 / 0;\r\n }\r\n return this.m;\r\n }\r\n if (this.n <= ddof) {\r\n return 0;\r\n }\r\n switch (mode) {\r\n case 'var':\r\n return this.s / (this.n - ddof);\r\n case 'stdev':\r\n return Math.sqrt(this.s / (this.n - ddof));\r\n default:\r\n throw new Error('unknown mode for runningStat');\r\n }\r\n },\r\n format: formatter,\r\n numInputs: typeof attr !== 'undefined' ? 0 : 1,\r\n };\r\n };\r\n };\r\n },\r\n\r\n sumOverSum(formatter = usFmt) {\r\n return function([num, denom]) {\r\n return function() {\r\n return {\r\n sumNum: 0,\r\n sumDenom: 0,\r\n push(record) {\r\n if (!isNaN(parseFloat(record[num]))) {\r\n this.sumNum += parseFloat(record[num]);\r\n }\r\n if (!isNaN(parseFloat(record[denom]))) {\r\n this.sumDenom += parseFloat(record[denom]);\r\n }\r\n },\r\n value() {\r\n return this.sumNum / this.sumDenom;\r\n },\r\n format: formatter,\r\n numInputs:\r\n typeof num !== 'undefined' && typeof denom !== 'undefined' ? 0 : 2,\r\n };\r\n };\r\n };\r\n },\r\n\r\n fractionOf(wrapped, type = 'total', formatter = usFmtPct) {\r\n return (...x) =>\r\n function(data, rowKey, colKey) {\r\n return {\r\n selector: {total: [[], []], row: [rowKey, []], col: [[], colKey]}[\r\n type\r\n ],\r\n inner: wrapped(...Array.from(x || []))(data, rowKey, colKey),\r\n push(record) {\r\n this.inner.push(record);\r\n },\r\n format: formatter,\r\n value() {\r\n return (\r\n this.inner.value() /\r\n data\r\n .getAggregator(...Array.from(this.selector || []))\r\n .inner.value()\r\n );\r\n },\r\n numInputs: wrapped(...Array.from(x || []))().numInputs,\r\n };\r\n };\r\n },\r\n};\r\n\r\naggregatorTemplates.countUnique = f =>\r\n aggregatorTemplates.uniques(x => x.length, f);\r\naggregatorTemplates.listUnique = s =>\r\n aggregatorTemplates.uniques(\r\n x => x.join(s),\r\n x => x\r\n );\r\naggregatorTemplates.max = f => aggregatorTemplates.extremes('max', f);\r\naggregatorTemplates.min = f => aggregatorTemplates.extremes('min', f);\r\naggregatorTemplates.first = f => aggregatorTemplates.extremes('first', f);\r\naggregatorTemplates.last = f => aggregatorTemplates.extremes('last', f);\r\naggregatorTemplates.median = f => aggregatorTemplates.quantile(0.5, f);\r\naggregatorTemplates.average = f =>\r\n aggregatorTemplates.runningStat('mean', 1, f);\r\naggregatorTemplates.var = (ddof, f) =>\r\n aggregatorTemplates.runningStat('var', ddof, f);\r\naggregatorTemplates.stdev = (ddof, f) =>\r\n aggregatorTemplates.runningStat('stdev', ddof, f);\r\n\r\n// default aggregators & renderers use US naming and number formatting\r\nconst aggregators = (tpl => ({\r\n Conteo: tpl.count(usFmtInt),\r\n // 'Count Unique Values': tpl.countUnique(usFmtInt),\r\n // 'List Unique Values': tpl.listUnique(', '),\r\n Suma: tpl.sum(usFmt),\r\n // 'Integer Sum': tpl.sum(usFmtInt),\r\n Promedio: tpl.average(usFmt),\r\n // Median: tpl.median(usFmt),\r\n // 'Sample Variance': tpl.var(1, usFmt),\r\n // 'Sample Standard Deviation': tpl.stdev(1, usFmt),\r\n \"Mínimo\": tpl.min(usFmt),\r\n \"Máximo\": tpl.max(usFmt),\r\n // First: tpl.first(usFmt),\r\n // Last: tpl.last(usFmt),\r\n // 'Sum over Sum': tpl.sumOverSum(usFmt),\r\n // 'Sum as Fraction of Total': tpl.fractionOf(tpl.sum(), 'total', usFmtPct),\r\n // 'Sum as Fraction of Rows': tpl.fractionOf(tpl.sum(), 'row', usFmtPct),\r\n // 'Sum as Fraction of Columns': tpl.fractionOf(tpl.sum(), 'col', usFmtPct),\r\n // 'Count as Fraction of Total': tpl.fractionOf(tpl.count(), 'total', usFmtPct),\r\n // 'Count as Fraction of Rows': tpl.fractionOf(tpl.count(), 'row', usFmtPct),\r\n // 'Count as Fraction of Columns': tpl.fractionOf(tpl.count(), 'col', usFmtPct),\r\n}))(aggregatorTemplates);\r\n\r\nconst locales = {\r\n en: {\r\n aggregators,\r\n localeStrings: {\r\n renderError: 'An error occurred rendering the PivotTable results.',\r\n computeError: 'An error occurred computing the PivotTable results.',\r\n uiRenderError: 'An error occurred rendering the PivotTable UI.',\r\n selectAll: 'Select All',\r\n selectNone: 'Select None',\r\n tooMany: '(too many to list)',\r\n filterResults: 'Filter values',\r\n apply: 'Apply',\r\n cancel: 'Cancel',\r\n totals: 'Totals',\r\n vs: 'vs',\r\n by: 'by',\r\n },\r\n },\r\n};\r\n\r\n// dateFormat deriver l10n requires month and day names to be passed in directly\r\nconst mthNamesEn = [\r\n 'Jan',\r\n 'Feb',\r\n 'Mar',\r\n 'Apr',\r\n 'May',\r\n 'Jun',\r\n 'Jul',\r\n 'Aug',\r\n 'Sep',\r\n 'Oct',\r\n 'Nov',\r\n 'Dec',\r\n];\r\nconst dayNamesEn = ['Sun', 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat'];\r\nconst zeroPad = number => `0${number}`.substr(-2, 2); // eslint-disable-line no-magic-numbers\r\n\r\nconst derivers = {\r\n bin(col, binWidth) {\r\n return record => record[col] - (record[col] % binWidth);\r\n },\r\n dateFormat(\r\n col,\r\n formatString,\r\n utcOutput = false,\r\n mthNames = mthNamesEn,\r\n dayNames = dayNamesEn\r\n ) {\r\n const utc = utcOutput ? 'UTC' : '';\r\n return function(record) {\r\n const date = new Date(Date.parse(record[col]));\r\n if (isNaN(date)) {\r\n return '';\r\n }\r\n return formatString.replace(/%(.)/g, function(m, p) {\r\n switch (p) {\r\n case 'y':\r\n return date[`get${utc}FullYear`]();\r\n case 'm':\r\n return zeroPad(date[`get${utc}Month`]() + 1);\r\n case 'n':\r\n return mthNames[date[`get${utc}Month`]()];\r\n case 'd':\r\n return zeroPad(date[`get${utc}Date`]());\r\n case 'w':\r\n return dayNames[date[`get${utc}Day`]()];\r\n case 'x':\r\n return date[`get${utc}Day`]();\r\n case 'H':\r\n return zeroPad(date[`get${utc}Hours`]());\r\n case 'M':\r\n return zeroPad(date[`get${utc}Minutes`]());\r\n case 'S':\r\n return zeroPad(date[`get${utc}Seconds`]());\r\n default:\r\n return `%${p}`;\r\n }\r\n });\r\n };\r\n },\r\n};\r\n\r\n/*\r\nData Model class\r\n*/\r\n\r\nclass PivotData {\r\n constructor(inputProps = {}) {\r\n this.props = Object.assign({}, PivotData.defaultProps, inputProps);\r\n PropTypes.checkPropTypes(\r\n PivotData.propTypes,\r\n this.props,\r\n 'prop',\r\n 'PivotData'\r\n );\r\n\r\n this.aggregator = this.props.aggregators[this.props.aggregatorName](\r\n this.props.vals\r\n );\r\n this.tree = {};\r\n this.rowKeys = [];\r\n this.colKeys = [];\r\n this.rowTotals = {};\r\n this.colTotals = {};\r\n this.allTotal = this.aggregator(this, [], []);\r\n this.sorted = false;\r\n\r\n // iterate through input, accumulating data for cells\r\n PivotData.forEachRecord(\r\n this.props.data,\r\n this.props.derivedAttributes,\r\n record => {\r\n if (this.filter(record)) {\r\n this.processRecord(record);\r\n }\r\n }\r\n );\r\n }\r\n\r\n filter(record) {\r\n for (const k in this.props.valueFilter) {\r\n if (record[k] in this.props.valueFilter[k]) {\r\n return false;\r\n }\r\n }\r\n return true;\r\n }\r\n\r\n forEachMatchingRecord(criteria, callback) {\r\n return PivotData.forEachRecord(\r\n this.props.data,\r\n this.props.derivedAttributes,\r\n record => {\r\n if (!this.filter(record)) {\r\n return;\r\n }\r\n for (const k in criteria) {\r\n const v = criteria[k];\r\n if (v !== (k in record ? record[k] : 'null')) {\r\n return;\r\n }\r\n }\r\n callback(record);\r\n }\r\n );\r\n }\r\n\r\n arrSort(attrs) {\r\n let a;\r\n const sortersArr = (() => {\r\n const result = [];\r\n for (a of Array.from(attrs)) {\r\n result.push(getSort(this.props.sorters, a));\r\n }\r\n return result;\r\n })();\r\n return function(a, b) {\r\n for (const i of Object.keys(sortersArr || {})) {\r\n const sorter = sortersArr[i];\r\n const comparison = sorter(a[i], b[i]);\r\n if (comparison !== 0) {\r\n return comparison;\r\n }\r\n }\r\n return 0;\r\n };\r\n }\r\n\r\n sortKeys() {\r\n if (!this.sorted) {\r\n this.sorted = true;\r\n const v = (r, c) => this.getAggregator(r, c).value();\r\n switch (this.props.rowOrder) {\r\n case 'value_a_to_z':\r\n this.rowKeys.sort((a, b) => naturalSort(v(a, []), v(b, [])));\r\n break;\r\n case 'value_z_to_a':\r\n this.rowKeys.sort((a, b) => -naturalSort(v(a, []), v(b, [])));\r\n break;\r\n default:\r\n this.rowKeys.sort(this.arrSort(this.props.rows));\r\n }\r\n switch (this.props.colOrder) {\r\n case 'value_a_to_z':\r\n this.colKeys.sort((a, b) => naturalSort(v([], a), v([], b)));\r\n break;\r\n case 'value_z_to_a':\r\n this.colKeys.sort((a, b) => -naturalSort(v([], a), v([], b)));\r\n break;\r\n default:\r\n this.colKeys.sort(this.arrSort(this.props.cols));\r\n }\r\n }\r\n }\r\n\r\n getColKeys() {\r\n this.sortKeys();\r\n return this.colKeys;\r\n }\r\n\r\n getRowKeys() {\r\n this.sortKeys();\r\n return this.rowKeys;\r\n }\r\n\r\n processRecord(record) {\r\n // this code is called in a tight loop\r\n const colKey = [];\r\n const rowKey = [];\r\n for (const x of Array.from(this.props.cols)) {\r\n colKey.push(x in record ? record[x] : 'null');\r\n }\r\n for (const x of Array.from(this.props.rows)) {\r\n rowKey.push(x in record ? record[x] : 'null');\r\n }\r\n const flatRowKey = rowKey.join(String.fromCharCode(0));\r\n const flatColKey = colKey.join(String.fromCharCode(0));\r\n\r\n this.allTotal.push(record);\r\n\r\n if (rowKey.length !== 0) {\r\n if (!this.rowTotals[flatRowKey]) {\r\n this.rowKeys.push(rowKey);\r\n this.rowTotals[flatRowKey] = this.aggregator(this, rowKey, []);\r\n }\r\n this.rowTotals[flatRowKey].push(record);\r\n }\r\n\r\n if (colKey.length !== 0) {\r\n if (!this.colTotals[flatColKey]) {\r\n this.colKeys.push(colKey);\r\n this.colTotals[flatColKey] = this.aggregator(this, [], colKey);\r\n }\r\n this.colTotals[flatColKey].push(record);\r\n }\r\n\r\n if (colKey.length !== 0 && rowKey.length !== 0) {\r\n if (!this.tree[flatRowKey]) {\r\n this.tree[flatRowKey] = {};\r\n }\r\n if (!this.tree[flatRowKey][flatColKey]) {\r\n this.tree[flatRowKey][flatColKey] = this.aggregator(\r\n this,\r\n rowKey,\r\n colKey\r\n );\r\n }\r\n this.tree[flatRowKey][flatColKey].push(record);\r\n }\r\n }\r\n\r\n getAggregator(rowKey, colKey) {\r\n let agg;\r\n const flatRowKey = rowKey.join(String.fromCharCode(0));\r\n const flatColKey = colKey.join(String.fromCharCode(0));\r\n if (rowKey.length === 0 && colKey.length === 0) {\r\n agg = this.allTotal;\r\n } else if (rowKey.length === 0) {\r\n agg = this.colTotals[flatColKey];\r\n } else if (colKey.length === 0) {\r\n agg = this.rowTotals[flatRowKey];\r\n } else {\r\n agg = this.tree[flatRowKey][flatColKey];\r\n }\r\n return (\r\n agg || {\r\n value() {\r\n return null;\r\n },\r\n format() {\r\n return '';\r\n },\r\n }\r\n );\r\n }\r\n}\r\n\r\n// can handle arrays or jQuery selections of tables\r\nPivotData.forEachRecord = function(input, derivedAttributes, f) {\r\n let addRecord, record;\r\n if (Object.getOwnPropertyNames(derivedAttributes).length === 0) {\r\n addRecord = f;\r\n } else {\r\n addRecord = function(record) {\r\n for (const k in derivedAttributes) {\r\n const derived = derivedAttributes[k](record);\r\n if (derived !== null) {\r\n record[k] = derived;\r\n }\r\n }\r\n return f(record);\r\n };\r\n }\r\n\r\n // if it's a function, have it call us back\r\n if (typeof input === 'function') {\r\n return input(addRecord);\r\n } else if (Array.isArray(input)) {\r\n if (Array.isArray(input[0])) {\r\n // array of arrays\r\n return (() => {\r\n const result = [];\r\n for (const i of Object.keys(input || {})) {\r\n const compactRecord = input[i];\r\n if (i > 0) {\r\n record = {};\r\n for (const j of Object.keys(input[0] || {})) {\r\n const k = input[0][j];\r\n record[k] = compactRecord[j];\r\n }\r\n result.push(addRecord(record));\r\n }\r\n }\r\n return result;\r\n })();\r\n }\r\n\r\n // array of objects\r\n return (() => {\r\n const result1 = [];\r\n for (record of Array.from(input)) {\r\n result1.push(addRecord(record));\r\n }\r\n return result1;\r\n })();\r\n }\r\n throw new Error('unknown input format');\r\n};\r\n\r\nPivotData.defaultProps = {\r\n aggregators: aggregators,\r\n cols: [],\r\n rows: [],\r\n vals: [],\r\n aggregatorName: 'Suma', // 'Count',\r\n sorters: {},\r\n valueFilter: {},\r\n rowOrder: 'key_a_to_z',\r\n colOrder: 'key_a_to_z',\r\n derivedAttributes: {},\r\n};\r\n\r\nPivotData.propTypes = {\r\n data: PropTypes.oneOfType([PropTypes.array, PropTypes.object, PropTypes.func])\r\n .isRequired,\r\n aggregatorName: PropTypes.string,\r\n cols: PropTypes.arrayOf(PropTypes.string),\r\n rows: PropTypes.arrayOf(PropTypes.string),\r\n vals: PropTypes.arrayOf(PropTypes.string),\r\n valueFilter: PropTypes.objectOf(PropTypes.objectOf(PropTypes.bool)),\r\n sorters: PropTypes.oneOfType([\r\n PropTypes.func,\r\n PropTypes.objectOf(PropTypes.func),\r\n ]),\r\n derivedAttributes: PropTypes.objectOf(PropTypes.func),\r\n rowOrder: PropTypes.oneOf(['key_a_to_z', 'value_a_to_z', 'value_z_to_a']),\r\n colOrder: PropTypes.oneOf(['key_a_to_z', 'value_a_to_z', 'value_z_to_a']),\r\n};\r\n\r\nexport {\r\n aggregatorTemplates,\r\n aggregators,\r\n derivers,\r\n locales,\r\n naturalSort,\r\n numberFormat,\r\n getSort,\r\n sortAs,\r\n PivotData,\r\n};\r\n"]} |