{"version":3,"file":"convert-to-jcamp.js","sources":["../lib-esm/utils/addInfoData.js","../lib-esm/utils/assert.js","../node_modules/is-any-array/lib-esm/index.js","../lib-esm/utils/checkNumberOrArray.js","../node_modules/ml-spectra-processing/lib-esm/x/utils/getOutputArray.js","../node_modules/ml-spectra-processing/lib-esm/x/xCheck.js","../node_modules/ml-spectra-processing/lib-esm/x/xDivide.js","../node_modules/ml-spectra-processing/lib-esm/x/xMinMaxValues.js","../node_modules/ml-spectra-processing/lib-esm/matrix/matrixCheck.js","../node_modules/ml-spectra-processing/lib-esm/matrix/matrixMinMaxZ.js","../lib-esm/utils/getFactorNumber.js","../lib-esm/utils/getBestFactor.js","../lib-esm/utils/checkMatrix.js","../lib-esm/utils/getExtremeValues.js","../lib-esm/utils/rescaleAndEnsureInteger.js","../lib-esm/utils/vectorEncoder.js","../lib-esm/creatorNtuples.js","../lib-esm/utils/getNumber.js","../lib-esm/utils/peakTableCreator.js","../lib-esm/utils/xyDataCreator.js","../lib-esm/fromJSON.js","../lib-esm/fromVariables.js","../lib-esm/utils/getBestFactorMatrix.js","../lib-esm/from2DNMRVariables.js"],"sourcesContent":["export const addInfoData = (data, keys = Object.keys(data), prefix = '##$') => {\n let header = '';\n for (const key of keys) {\n header +=\n typeof data[key] === 'object'\n ? `${prefix}${key}=${JSON.stringify(data[key])}\\n`\n : `${prefix}${key}=${data[key]}\\n`;\n }\n return header;\n};\n//# sourceMappingURL=addInfoData.js.map","export function assertMeasurementXYVariables(variables) {\n assertVariablesHasX(variables);\n assertVariablesHasY(variables);\n}\nexport function assertVariablesHasX(variables) {\n if (!variables.x) {\n throw new Error('variables has not x');\n }\n}\nexport function assertVariablesHasY(variables) {\n if (!variables.y) {\n throw new Error('variables has not y');\n }\n}\nexport function variablesHasXY(variables) {\n return variables.x && variables.y ? true : false;\n}\n//# sourceMappingURL=assert.js.map","const toString = Object.prototype.toString;\n/**\n * Checks if an object is an instance of an Array (array or typed array).\n *\n * @param {any} value - Object to check.\n * @returns {boolean} True if the object is an array.\n */\nexport function isAnyArray(value) {\n return toString.call(value).endsWith('Array]');\n}\n//# sourceMappingURL=index.js.map","import { isAnyArray } from 'is-any-array';\nexport function checkNumberOrArray(data) {\n if (!isAnyArray(data) || isAnyArray(data[0])) {\n throw new Error(`x and y data should be an array of numbers`);\n }\n}\n//# sourceMappingURL=checkNumberOrArray.js.map","import { isAnyArray } from 'is-any-array';\n/**\n * This function\n * @param output - undefined or a new array\n * @param length - length of the output array\n * @returns\n */\nexport function getOutputArray(output, length) {\n if (output !== undefined) {\n if (!isAnyArray(output)) {\n throw new TypeError('output option must be an array if specified');\n }\n if (output.length !== length) {\n throw new TypeError('the output array does not have the correct length');\n }\n return output;\n }\n else {\n return new Float64Array(length);\n }\n}\n//# sourceMappingURL=getOutputArray.js.map","import { isAnyArray } from 'is-any-array';\n/**\n * Checks if input is of type array\n *\n * @param input - input\n */\nexport function xCheck(input) {\n if (!isAnyArray(input)) {\n throw new TypeError('input must be an array');\n }\n if (input.length === 0) {\n throw new TypeError('input must not be empty');\n }\n}\n//# sourceMappingURL=xCheck.js.map","import { isAnyArray } from 'is-any-array';\nimport { getOutputArray } from '..';\n/**\n * This function divide the first array by the second array or a constant value to each element of the first array\n *\n * @param array1 - first array\n * @param array2 - second array or number\n * @param options - options\n */\nexport function xDivide(array1, array2, options = {}) {\n let isConstant = false;\n let constant = 0;\n if (isAnyArray(array2)) {\n if (array1.length !== array2.length) {\n throw new Error('xDivide: size of array1 and array2 must be identical');\n }\n }\n else {\n isConstant = true;\n constant = Number(array2);\n }\n let array3 = getOutputArray(options.output, array1.length);\n if (isConstant) {\n for (let i = 0; i < array1.length; i++) {\n array3[i] = array1[i] / constant;\n }\n }\n else {\n for (let i = 0; i < array1.length; i++) {\n array3[i] = array1[i] / array2[i];\n }\n }\n return array3;\n}\n//# sourceMappingURL=xDivide.js.map","import { xCheck } from './xCheck';\n/**\n * Return min and max values of an array\n *\n * @param array - array of number\n * @returns - Object with 2 properties, min and max\n */\nexport function xMinMaxValues(array) {\n xCheck(array);\n let min = array[0];\n let max = array[0];\n for (let value of array) {\n if (value < min)\n min = value;\n if (value > max)\n max = value;\n }\n return { min, max };\n}\n//# sourceMappingURL=xMinMaxValues.js.map","export function matrixCheck(data) {\n if (data.length === 0 || data[0].length === 0) {\n throw new RangeError('matrix should contain data');\n }\n const firstLength = data[0].length;\n for (let i = 1; i < data.length; i++) {\n if (data[i].length !== firstLength) {\n throw new RangeError('All rows should has the same length');\n }\n }\n}\n//# sourceMappingURL=matrixCheck.js.map","import { matrixCheck } from './matrixCheck';\n/**\n * Get min and max Z\n *\n * @param matrix - matrix [rows][cols].\n */\nexport function matrixMinMaxZ(matrix) {\n matrixCheck(matrix);\n const nbRows = matrix.length;\n const nbColumns = matrix[0].length;\n let min = matrix[0][0];\n let max = matrix[0][0];\n for (let column = 0; column < nbColumns; column++) {\n for (let row = 0; row < nbRows; row++) {\n if (matrix[row][column] < min)\n min = matrix[row][column];\n if (matrix[row][column] > max)\n max = matrix[row][column];\n }\n }\n return { min, max };\n}\n//# sourceMappingURL=matrixMinMaxZ.js.map","export function getFactorNumber(minMax, maxValue = 2 ** 31 - 1) {\n let factor;\n if (minMax.min < 0) {\n if (minMax.max > 0) {\n factor = Math.max(-minMax.min, minMax.max) / maxValue;\n }\n else {\n factor = -minMax.min / maxValue;\n }\n }\n else {\n factor = minMax.max / maxValue;\n }\n return factor;\n}\n//# sourceMappingURL=getFactorNumber.js.map","import { xMinMaxValues } from 'ml-spectra-processing';\nimport { getFactorNumber } from './getFactorNumber';\nexport function getBestFactor(array, options = {}) {\n const { maxValue, factor, minMax } = options;\n if (factor !== undefined) {\n return factor;\n }\n // is there non integer number ?\n let onlyInteger = true;\n for (let y of array) {\n if (Math.round(y) !== y) {\n onlyInteger = false;\n break;\n }\n }\n if (onlyInteger) {\n return 1;\n }\n // we need to rescale the values\n // need to find the max and min values\n const extremeValues = minMax || xMinMaxValues(array);\n return getFactorNumber(extremeValues, maxValue);\n}\n//# sourceMappingURL=getBestFactor.js.map","import { isAnyArray } from 'is-any-array';\nexport function checkMatrix(data) {\n if (!isAnyArray(data) || !isAnyArray(data[0])) {\n throw new Error(`2D data should be a matrix`);\n }\n}\n//# sourceMappingURL=checkMatrix.js.map","import { isAnyArray } from 'is-any-array';\nimport { matrixMinMaxZ, xMinMaxValues, } from 'ml-spectra-processing';\nimport { checkMatrix } from './checkMatrix';\nimport { checkNumberOrArray } from './checkNumberOrArray';\nexport function getExtremeValues(data) {\n if (isAnyArray(data[0])) {\n checkMatrix(data);\n const firstRow = data[0];\n return {\n firstLast: {\n first: firstRow[0],\n last: data[data.length - 1][data[0].length - 1],\n },\n minMax: matrixMinMaxZ(data),\n };\n }\n checkNumberOrArray(data);\n return {\n firstLast: {\n first: data[0],\n last: data[data.length - 1],\n },\n minMax: xMinMaxValues(data),\n };\n}\n//# sourceMappingURL=getExtremeValues.js.map","import { xDivide } from 'ml-spectra-processing';\nexport function rescaleAndEnsureInteger(data, factor) {\n if (factor === 1)\n return data.map((value) => Math.round(value));\n return xDivide(data, factor);\n}\n//# sourceMappingURL=rescaleAndEnsureInteger.js.map","/**\n * class encodes a integer vector as a String in order to store it in a text file.\n * The algorithms used to encode the data are describe in:\n * http://www.iupac.org/publications/pac/pdf/2001/pdf/7311x1765.pdf\n */\nconst newLine = '\\n';\nconst pseudoDigits = [\n ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9'],\n ['@', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I'],\n ['@', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i'],\n ['%', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R'],\n ['%', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r'],\n [' ', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', 's'],\n];\nconst SQZ_P = 1;\nconst SQZ_N = 2;\nconst DIF_P = 3;\nconst DIF_N = 4;\nconst DUP = 5;\nconst maxLinelength = 100;\n/**\n * This function encodes the given vector. The xyEncoding format is specified by the\n * xyEncoding option\n * @param xyEncoding: ('FIX','SQZ','DIF','DIFDUP','CVS','PAC') Default 'DIFDUP'\n * @return {string}\n */\nexport function vectorEncoder(data, firstX, intervalX, xyEncoding) {\n switch (xyEncoding) {\n case 'FIX':\n return fixEncoding(data, firstX, intervalX);\n case 'SQZ':\n return squeezedEncoding(data, firstX, intervalX);\n case 'DIF':\n return differenceEncoding(data, firstX, intervalX);\n case 'DIFDUP':\n return differenceDuplicateEncoding(data, firstX, intervalX);\n case 'CSV':\n return commaSeparatedValuesEncoding(data, firstX, intervalX);\n case 'PAC':\n return packedEncoding(data, firstX, intervalX);\n default:\n return differenceEncoding(data, firstX, intervalX);\n }\n}\n/**\n * @private\n * No data compression used. The data is separated by a comma(',').\n */\nexport function commaSeparatedValuesEncoding(data, firstX, intervalX) {\n return fixEncoding(data, firstX, intervalX, ',');\n}\n/**\n * @private\n * No data compression used. The data is separated by the specified separator.\n */\nexport function fixEncoding(data, firstX, intervalX, separator = ' ') {\n let outputData = '';\n let j = 0;\n let dataLength = data.length;\n while (j < dataLength - 7) {\n outputData += Math.ceil(firstX + j * intervalX);\n for (let i = 0; i < 8; i++) {\n outputData += separator + data[j++];\n }\n outputData += newLine;\n }\n if (j < dataLength) {\n // We add last numbers\n outputData += Math.ceil(firstX + j * intervalX);\n for (let i = j; i < dataLength; i++) {\n outputData += separator + data[i];\n }\n }\n return outputData;\n}\n/**\n * @private\n * No data compression used. The data is separated by the sign of the number.\n */\nexport function packedEncoding(data, firstX, intervalX) {\n let outputData = '';\n let j = 0;\n let dataLength = data.length;\n while (j < dataLength - 7) {\n outputData += Math.ceil(firstX + j * intervalX);\n for (let i = 0; i < 8; i++) {\n outputData += data[j] < 0 ? data[j++] : `+${data[j++]}`;\n }\n outputData += newLine;\n }\n if (j < dataLength) {\n // We add last numbers\n outputData += Math.ceil(firstX + j * intervalX);\n for (let i = j; i < dataLength; i++) {\n outputData += data[i] < 0 ? data[i] : `+${data[i]}`;\n }\n }\n return outputData;\n}\n/**\n * @private\n * Data compression is possible using the squeezed form (SQZ) in which the delimiter, the leading digit,\n * and sign are replaced by a pseudo-digit from Table 1. For example, the Y-values 30, 32 would be\n * represented as C0C2.\n */\nexport function squeezedEncoding(data, firstX, intervalX) {\n let outputData = '';\n // String outputData = new String();\n let j = 0;\n let dataLength = data.length;\n while (j < dataLength - 10) {\n outputData += Math.ceil(firstX + j * intervalX);\n for (let i = 0; i < 10; i++) {\n outputData += squeezedDigit(data[j++].toString());\n }\n outputData += newLine;\n }\n if (j < dataLength) {\n // We add last numbers\n outputData += Math.ceil(firstX + j * intervalX);\n for (let i = j; i < dataLength; i++) {\n outputData += squeezedDigit(data[i].toString());\n }\n }\n return outputData;\n}\n/**\n * @private\n * Duplicate suppression xyEncoding\n */\nexport function differenceDuplicateEncoding(data, firstX, intervalX) {\n let mult = 0;\n let index = 0;\n let charCount = 0;\n // We built a string where we store the encoded data.\n let encodedData = '';\n let encodedNumber = '';\n let temp = '';\n // We calculate the differences vector\n let diffData = new Array(data.length - 1);\n for (let i = 0; i < diffData.length; i++) {\n diffData[i] = data[i + 1] - data[i];\n }\n // We simulate a line carry\n let numDiff = diffData.length;\n while (index < numDiff) {\n if (charCount === 0) {\n // Start line\n encodedNumber =\n Math.ceil(firstX + index * intervalX) +\n squeezedDigit(data[index].toString()) +\n differenceDigit(diffData[index].toString());\n encodedData += encodedNumber;\n charCount += encodedNumber.length;\n }\n else {\n // Try to insert next difference\n if (diffData[index - 1] === diffData[index]) {\n mult++;\n }\n else {\n if (mult > 0) {\n // Now we know that it can be in line\n mult++;\n encodedNumber = duplicateDigit(mult.toString());\n encodedData += encodedNumber;\n charCount += encodedNumber.length;\n mult = 0;\n index--;\n }\n else {\n // Check if it fits, otherwise start a new line\n encodedNumber = differenceDigit(diffData[index].toString());\n if (encodedNumber.length + charCount < maxLinelength) {\n encodedData += encodedNumber;\n charCount += encodedNumber.length;\n }\n else {\n // start a new line\n encodedData += newLine;\n temp =\n Math.ceil(firstX + index * intervalX) +\n squeezedDigit(data[index].toString()) +\n encodedNumber;\n encodedData += temp; // Each line start with first index number.\n charCount = temp.length;\n }\n }\n }\n }\n index++;\n }\n if (mult > 0) {\n encodedData += duplicateDigit((mult + 1).toString());\n }\n // We insert the last data from fid. It is done to control of data\n // The last line start with the number of datas in the fid.\n encodedData +=\n newLine +\n Math.ceil(firstX + index * intervalX) +\n squeezedDigit(data[index].toString());\n return encodedData;\n}\n/**\n * @private\n * Differential xyEncoding\n */\nexport function differenceEncoding(data, firstX, intervalX) {\n let index = 0;\n let charCount = 0;\n let i;\n let encodedData = '';\n let encodedNumber = '';\n let temp = '';\n // We calculate the differences vector\n let diffData = new Array(data.length - 1);\n for (i = 0; i < diffData.length; i++) {\n diffData[i] = data[i + 1] - data[i];\n }\n let numDiff = diffData.length;\n while (index < numDiff) {\n if (charCount === 0) {\n // We convert the first number.\n encodedNumber =\n Math.ceil(firstX + index * intervalX) +\n squeezedDigit(data[index].toString()) +\n differenceDigit(diffData[index].toString());\n encodedData += encodedNumber;\n charCount += encodedNumber.length;\n }\n else {\n encodedNumber = differenceDigit(diffData[index].toString());\n if (encodedNumber.length + charCount < maxLinelength) {\n encodedData += encodedNumber;\n charCount += encodedNumber.length;\n }\n else {\n encodedData += newLine;\n temp =\n Math.ceil(firstX + index * intervalX) +\n squeezedDigit(data[index].toString()) +\n encodedNumber;\n encodedData += temp; // Each line start with first index number.\n charCount = temp.length;\n }\n }\n index++;\n }\n // We insert the last number from data. It is done to control of data\n encodedData +=\n newLine +\n Math.ceil(firstX + index * intervalX) +\n squeezedDigit(data[index].toString());\n return encodedData;\n}\n/**\n * @private\n * Convert number to the ZQZ format, using pseudo digits.\n */\nfunction squeezedDigit(num) {\n let sqzDigits = '';\n if (num.startsWith('-')) {\n sqzDigits += pseudoDigits[SQZ_N][num.charCodeAt(1) - 48];\n if (num.length > 2) {\n sqzDigits += num.substring(2);\n }\n }\n else {\n sqzDigits += pseudoDigits[SQZ_P][num.charCodeAt(0) - 48];\n if (num.length > 1) {\n sqzDigits += num.substring(1);\n }\n }\n return sqzDigits;\n}\n/**\n * Convert number to the DIF format, using pseudo digits.\n */\nfunction differenceDigit(num) {\n let diffDigits = '';\n if (num.startsWith('-')) {\n diffDigits += pseudoDigits[DIF_N][num.charCodeAt(1) - 48];\n if (num.length > 2) {\n diffDigits += num.substring(2);\n }\n }\n else {\n diffDigits += pseudoDigits[DIF_P][num.charCodeAt(0) - 48];\n if (num.length > 1) {\n diffDigits += num.substring(1);\n }\n }\n return diffDigits;\n}\n/**\n * Convert number to the DUP format, using pseudo digits.\n */\nfunction duplicateDigit(num) {\n let dupDigits = '';\n dupDigits += pseudoDigits[DUP][num.charCodeAt(0) - 48];\n if (num.length > 1) {\n dupDigits += num.substring(1);\n }\n return dupDigits;\n}\n//# sourceMappingURL=vectorEncoder.js.map","import { addInfoData } from './utils/addInfoData';\nimport { assertVariablesHasX, assertVariablesHasY, } from './utils/assert';\nimport { checkNumberOrArray } from './utils/checkNumberOrArray';\nimport { getBestFactor } from './utils/getBestFactor';\nimport { getExtremeValues } from './utils/getExtremeValues';\nimport { rescaleAndEnsureInteger } from './utils/rescaleAndEnsureInteger';\nimport { vectorEncoder } from './utils/vectorEncoder';\n/**\n * Parse from a xyxy data array\n * @param variables - Variables to convert to jcamp\n * @param [options={}] - options that allows to add meta data in the jcamp\n * @return JCAMP-DX text file corresponding to the variables\n */\nexport default function creatorNtuples(variables, options) {\n assertVariablesHasX(variables);\n const { meta = {}, info = {}, xyEncoding = '', factors = {} } = options;\n const { title = '', owner = '', origin = '', dataType = '' } = info;\n const symbol = [];\n const varName = [];\n const varType = [];\n const varDim = [];\n const units = [];\n const first = [];\n const last = [];\n const min = [];\n const max = [];\n const factorArray = [];\n const keys = Object.keys(variables);\n for (let i = 0; i < keys.length; i++) {\n const key = keys[i];\n let variable = variables[key];\n if (!variable)\n continue;\n let name = variable?.label.replace(/ *\\[.*/, '');\n let unit = variable?.label.replace(/.*\\[(?.*)\\].*/, '$');\n const { firstLast, minMax } = getExtremeValues(variable.data);\n factors[key] = getBestFactor(variable.data, {\n factor: factors[key],\n minMax,\n });\n const currentFactor = factors[key];\n factorArray.push(currentFactor);\n symbol.push(variable.symbol || key);\n varName.push(name || key);\n varDim.push(variable.data.length);\n first.push(firstLast.first);\n last.push(firstLast.last);\n max.push(minMax.max);\n min.push(minMax.min);\n if (variable.isDependent !== undefined) {\n varType.push(variable.isDependent ? 'DEPENDENT' : 'INDEPENDENT');\n }\n else {\n varType.push(variable.isDependent !== undefined\n ? !variable.isDependent\n : i === 0\n ? 'INDEPENDENT'\n : 'DEPENDENT');\n }\n units.push(variable.units || unit || '');\n }\n let header = `##TITLE=${title}\n##JCAMP-DX=6.00\n##DATA TYPE=${dataType}\n##DATA CLASS= NTUPLES\n##ORIGIN=${origin}\n##OWNER=${owner}\\n`;\n const infoKeys = Object.keys(info).filter((e) => !['title', 'owner', 'origin', 'datatype'].includes(e.toLocaleLowerCase()));\n header += addInfoData(info, infoKeys, '##');\n header += addInfoData(meta);\n header += `##NTUPLES= ${dataType}\n##VAR_NAME= ${varName.join()}\n##SYMBOL= ${symbol.join()}\n##VAR_TYPE= ${varType.join()}\n##VAR_DIM= ${varDim.join()}\n##UNITS= ${units.join()}\n##FACTOR= ${factorArray.join()}\n##FIRST= ${first.join()}\n##LAST= ${last.join()}\n##MIN= ${min.join()}\n##MAX= ${max.join()}\\n`;\n if (options.isNMR) {\n let xData = variables.x.data;\n checkNumberOrArray(xData);\n if (options.isPeakData) {\n assertVariablesHasY(variables);\n let yData = variables.y.data;\n checkNumberOrArray(yData);\n header += `##DATA TABLE= (XY..XY), PEAKS\\n`;\n for (let point = 0; point < varDim[0]; point++) {\n header += `${xData[point]}, ${yData[point]}\\n`;\n }\n }\n else if (options.isXYData) {\n for (const key of ['r', 'i']) {\n const variable = variables[key];\n if (variable) {\n checkNumberOrArray(variable.data);\n header += `##PAGE= N=${key === 'r' ? 1 : 2}\\n`;\n header += `##DATA TABLE= (X++(${key === 'r' ? 'R..R' : 'I..I'})), XYDATA\\n`;\n header += vectorEncoder(rescaleAndEnsureInteger(variable.data, factors[key]), 0, 1, xyEncoding);\n header += '\\n';\n }\n }\n }\n }\n else {\n header += `##PAGE= N=1\\n`;\n header += `##DATA TABLE= (${symbol.join('')}..${symbol.join('')}), PEAKS\\n`;\n for (let i = 0; i < variables.x.data.length; i++) {\n let point = [];\n for (let key of keys) {\n let variable = variables[key];\n if (!variable)\n continue;\n point.push(variable.data[i]);\n }\n header += `${point.join('\\t')}\\n`;\n }\n }\n header += `##END NTUPLES= ${dataType}\\n`;\n header += '##END=\\n##END=';\n return header;\n}\n//# sourceMappingURL=creatorNtuples.js.map","/**\n * Reconvert number to original value\n * @param number Number used for computation\n * @param factor Multiplying factor\n * @returns Original value\n */\nexport function getNumber(number, factor) {\n if (factor !== 1)\n number /= factor;\n const rounded = Math.round(number);\n if (rounded !== number && Math.abs(rounded - number) <= Number.EPSILON) {\n return rounded;\n }\n return number;\n}\n//# sourceMappingURL=getNumber.js.map","import { getNumber } from './getNumber';\nexport function peakTableCreator(data, options = {}) {\n const { xFactor = 1, yFactor = 1 } = options.info || {};\n let firstX = Number.POSITIVE_INFINITY;\n let lastX = Number.NEGATIVE_INFINITY;\n let firstY = Number.POSITIVE_INFINITY;\n let lastY = Number.NEGATIVE_INFINITY;\n let lines = [];\n for (let i = 0; i < data.x.length; i++) {\n let x = data.x[i];\n let y = data.y[i];\n if (firstX > x) {\n firstX = x;\n }\n if (lastX < x) {\n lastX = x;\n }\n if (firstY > y) {\n firstY = y;\n }\n if (lastY < y) {\n lastY = y;\n }\n }\n lines.push(`##FIRSTX=${firstX}`);\n lines.push(`##LASTX=${lastX}`);\n lines.push(`##FIRSTY=${firstY}`);\n lines.push(`##LASTY=${lastY}`);\n lines.push(`##XFACTOR=${xFactor}`);\n lines.push(`##YFACTOR=${yFactor}`);\n lines.push('##PEAK TABLE=(XY..XY)');\n for (let i = 0; i < data.x.length; i++) {\n lines.push(`${getNumber(data.x[i], xFactor)} ${getNumber(data.y[i], yFactor)}`);\n }\n return lines;\n}\n//# sourceMappingURL=peakTableCreator.js.map","import { rescaleAndEnsureInteger } from './rescaleAndEnsureInteger';\nimport { vectorEncoder } from './vectorEncoder';\nexport function xyDataCreator(data, options = {}) {\n const { xyEncoding = 'DIF' } = options;\n const { xFactor = 1, yFactor = 1 } = options.info || {};\n let firstX = data.x[0];\n let lastX = data.x[data.x.length - 1];\n let firstY = data.y[0];\n let lastY = data.y[data.y.length - 1];\n let nbPoints = data.x.length;\n let deltaX = (lastX - firstX) / (nbPoints - 1);\n let lines = [];\n lines.push(`##FIRSTX=${firstX}`);\n lines.push(`##LASTX=${lastX}`);\n lines.push(`##FIRSTY=${firstY}`);\n lines.push(`##LASTY=${lastY}`);\n lines.push(`##DELTAX=${deltaX}`);\n lines.push(`##XFACTOR=${xFactor}`);\n lines.push(`##YFACTOR=${yFactor}`);\n lines.push('##XYDATA=(X++(Y..Y))');\n let line = vectorEncoder(rescaleAndEnsureInteger(data.y, yFactor), firstX / xFactor, deltaX / xFactor, xyEncoding);\n if (line)\n lines.push(line);\n return lines;\n}\n//# sourceMappingURL=xyDataCreator.js.map","import { addInfoData } from './utils/addInfoData';\nimport { getBestFactor } from './utils/getBestFactor';\nimport { peakTableCreator } from './utils/peakTableCreator';\nimport { xyDataCreator } from './utils/xyDataCreator';\nconst infoDefaultKeys = [\n 'title',\n 'owner',\n 'origin',\n 'dataType',\n 'xUnits',\n 'yUnits',\n 'xFactor',\n 'yFactor',\n];\n/**\n * Create a jcamp\n * @param data object of array\n * @param [options={meta:{},info:{}} - metadata object\n * @returns JCAMP of the input\n */\nexport function fromJSON(data, options = {}) {\n const { meta = {}, info = {}, xyEncoding } = options;\n let { title = '', owner = '', origin = '', dataType = '', xUnits = '', yUnits = '', xFactor, yFactor, } = info;\n data = { x: data.x, y: data.y };\n let header = 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