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eslint-disable-next-line @typescript-eslint/unbound-method\nconst toString = Object.prototype.toString;\n/**\n * Checks if an object is an instance of an Array (array or typed array, except those that contain bigint values).\n *\n * @param value - Object to check.\n * @returns True if the object is an array or a typed array.\n */\nexport function isAnyArray(value) {\n    const tag = toString.call(value);\n    return tag.endsWith('Array]') && !tag.includes('Big');\n}\n//# sourceMappingURL=index.js.map","import { isAnyArray } from 'is-any-array';\n/**\n * Calculates the median of an array\n *\n * @param input - Array containing values\n * @returns - median\n */\nexport function xMedian(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    const array = input.slice();\n    let low = 0;\n    let high = array.length - 1;\n    let middle = 0;\n  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Cannot rescale a constant array');\n  }\n\n  var _options$min = options.min,\n      minValue = _options$min === void 0 ? options.autoMinMax ? currentMin : 0 : _options$min,\n      _options$max = options.max,\n      maxValue = _options$max === void 0 ? options.autoMinMax ? currentMax : 1 : _options$max;\n\n  if (minValue >= maxValue) {\n    throw new RangeError('min option must be smaller than max option');\n  }\n\n  var factor = (maxValue - minValue) / (currentMax - currentMin);\n\n  for (var i = 0; i < input.length; i++) {\n    output[i] = (input[i] - currentMin) * factor + minValue;\n  }\n\n  return output;\n}\n\nexport { rescale as default };\n","import { isAnyArray } from 'is-any-array';\n\nfunction min(input) {\n  var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n\n  if (!isAnyArray(input)) {\n    throw new TypeError('input must be an array');\n  }\n\n  if (input.length === 0) {\n    throw new TypeError('input must not be empty');\n  }\n\n  var _options$fromIndex = options.fromIndex,\n      fromIndex = _options$fromIndex === void 0 ? 0 : _options$fromIndex,\n      _options$toIndex = options.toIndex,\n      toIndex = _options$toIndex === void 0 ? input.length : _options$toIndex;\n\n  if (fromIndex < 0 || fromIndex >= input.length || !Number.isInteger(fromIndex)) {\n    throw new Error('fromIndex must be a positive integer smaller than length');\n  }\n\n  if (toIndex <= fromIndex || toIndex > input.length || !Number.isInteger(toIndex)) {\n    throw new Error('toIndex must be an integer greater than fromIndex and at most equal to length');\n  }\n\n  var minValue = input[fromIndex];\n\n  for (var i = fromIndex + 1; i < toIndex; i++) {\n    if (input[i] < minValue) minValue = input[i];\n  }\n\n  return minValue;\n}\n\nexport { min as default };\n","import { isAnyArray } from 'is-any-array';\n\nfunction max(input) {\n  var options = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : {};\n\n  if (!isAnyArray(input)) {\n    throw new TypeError('input must be an array');\n  }\n\n  if (input.length === 0) {\n    throw new TypeError('input must not be empty');\n  }\n\n  var _options$fromIndex = options.fromIndex,\n      fromIndex = _options$fromIndex === void 0 ? 0 : _options$fromIndex,\n      _options$toIndex = options.toIndex,\n      toIndex = _options$toIndex === void 0 ? input.length : _options$toIndex;\n\n  if (fromIndex < 0 || fromIndex >= input.length || !Number.isInteger(fromIndex)) {\n    throw new Error('fromIndex must be a positive integer smaller than length');\n  }\n\n  if (toIndex <= fromIndex || toIndex > input.length || !Number.isInteger(toIndex)) {\n    throw new Error('toIndex must be an integer greater than fromIndex and at most equal to length');\n  }\n\n  var maxValue = input[fromIndex];\n\n  for (var i = fromIndex + 1; i < toIndex; i++) {\n    if (input[i] > maxValue) maxValue = input[i];\n  }\n\n  return maxValue;\n}\n\nexport { max as default };\n","const indent = ' '.repeat(2);\nconst indentData = ' '.repeat(4);\n\nexport function inspectMatrix() {\n  return inspectMatrixWithOptions(this);\n}\n\nexport function inspectMatrixWithOptions(matrix, options = {}) {\n  const {\n    maxRows = 15,\n    maxColumns = 10,\n    maxNumSize = 8,\n    padMinus = 'auto',\n  } = options;\n  return `${matrix.constructor.name} {\n${indent}[\n${indentData}${inspectData(matrix, maxRows, maxColumns, maxNumSize, padMinus)}\n${indent}]\n${indent}rows: ${matrix.rows}\n${indent}columns: ${matrix.columns}\n}`;\n}\n\nfunction inspectData(matrix, maxRows, maxColumns, maxNumSize, padMinus) {\n  const { rows, columns } = matrix;\n  const maxI = Math.min(rows, maxRows);\n  const maxJ = Math.min(columns, maxColumns);\n  const result = [];\n\n  if (padMinus === 'auto') {\n    padMinus = false;\n    loop: for (let i = 0; i < maxI; i++) {\n      for (let j = 0; j < maxJ; j++) {\n        if (matrix.get(i, j) < 0) {\n          padMinus = true;\n          break loop;\n        }\n      }\n    }\n  }\n\n  for (let i = 0; i < maxI; i++) {\n    let line = [];\n    for (let j = 0; j < maxJ; j++) {\n      line.push(formatNumber(matrix.get(i, j), maxNumSize, padMinus));\n    }\n    result.push(`${line.join(' ')}`);\n  }\n  if (maxJ !== columns) {\n    result[result.length - 1] += ` ... ${columns - maxColumns} more columns`;\n  }\n  if (maxI !== rows) {\n    result.push(`... ${rows - maxRows} more rows`);\n  }\n  return result.join(`\\n${indentData}`);\n}\n\nfunction formatNumber(num, maxNumSize, padMinus) {\n  return (\n    num >= 0 && padMinus\n      ? ` ${formatNumber2(num, maxNumSize - 1)}`\n      : formatNumber2(num, maxNumSize)\n  ).padEnd(maxNumSize);\n}\n\nfunction formatNumber2(num, len) {\n  // small.length numbers should be as is\n  let str = num.toString();\n  if (str.length <= len) return str;\n\n  // (7)'0.00123' is better then (7)'1.23e-2'\n  // (8)'0.000123' is worse then (7)'1.23e-3',\n  let fix = num.toFixed(len);\n  if (fix.length > len) {\n    fix = num.toFixed(Math.max(0, len - (fix.length - len)));\n  }\n  if (\n    fix.length <= len &&\n    !fix.startsWith('0.000') &&\n    !fix.startsWith('-0.000')\n  ) {\n    return fix;\n  }\n\n  // well, if it's still too long the user should've used longer numbers\n  let exp = num.toExponential(len);\n  if (exp.length > len) {\n    exp = num.toExponential(Math.max(0, len - (exp.length - len)));\n  }\n  return exp.slice(0);\n}\n","import { isAnyArray } from 'is-any-array';\n\n/**\n * @private\n * Check that a row index is not out of bounds\n * @param {Matrix} matrix\n * @param {number} index\n * @param {boolean} [outer]\n */\nexport function checkRowIndex(matrix, index, outer) {\n  let max = outer ? matrix.rows : matrix.rows - 1;\n  if (index < 0 || index > max) {\n    throw new RangeError('Row index out of range');\n  }\n}\n\n/**\n * @private\n * Check that a column index is not out of bounds\n * @param {Matrix} matrix\n * @param {number} index\n * @param {boolean} [outer]\n */\nexport function checkColumnIndex(matrix, index, outer) {\n  let max = outer ? matrix.columns : matrix.columns - 1;\n  if (index < 0 || index > max) {\n    throw new RangeError('Column index out of range');\n  }\n}\n\n/**\n * @private\n * Check that the provided vector is an array with the right length\n * @param {Matrix} matrix\n * @param {Array|Matrix} vector\n * @return {Array}\n * @throws {RangeError}\n */\nexport function checkRowVector(matrix, vector) {\n  if (vector.to1DArray) {\n    vector = vector.to1DArray();\n  }\n  if (vector.length !== matrix.columns) {\n    throw new RangeError(\n      'vector size must be the same as the number of columns',\n    );\n  }\n  return vector;\n}\n\n/**\n * @private\n * Check that the provided vector is an array with the right length\n * @param {Matrix} matrix\n * @param {Array|Matrix} vector\n * @return {Array}\n * @throws {RangeError}\n */\nexport function checkColumnVector(matrix, vector) {\n  if (vector.to1DArray) {\n    vector = vector.to1DArray();\n  }\n  if (vector.length !== matrix.rows) {\n    throw new RangeError('vector size must be the same as the number of rows');\n  }\n  return vector;\n}\n\nexport function checkRowIndices(matrix, rowIndices) {\n  if (!isAnyArray(rowIndices)) {\n    throw new TypeError('row indices must be an array');\n  }\n\n  for (let i = 0; i < rowIndices.length; i++) {\n    if (rowIndices[i] < 0 || rowIndices[i] >= matrix.rows) {\n      throw new RangeError('row indices are out of range');\n    }\n  }\n}\n\nexport function checkColumnIndices(matrix, columnIndices) {\n  if (!isAnyArray(columnIndices)) {\n    throw new TypeError('column indices must be an array');\n  }\n\n  for (let i = 0; i < columnIndices.length; i++) {\n    if (columnIndices[i] < 0 || columnIndices[i] >= matrix.columns) {\n      throw new RangeError('column indices are out of range');\n    }\n  }\n}\n\nexport function checkRange(matrix, startRow, endRow, startColumn, endColumn) {\n  if (arguments.length !== 5) {\n    throw new RangeError('expected 4 arguments');\n  }\n  checkNumber('startRow', startRow);\n  checkNumber('endRow', endRow);\n  checkNumber('startColumn', startColumn);\n  checkNumber('endColumn', endColumn);\n  if (\n    startRow > endRow ||\n    startColumn > endColumn ||\n    startRow < 0 ||\n    startRow >= matrix.rows ||\n    endRow < 0 ||\n    endRow >= matrix.rows ||\n    startColumn < 0 ||\n    startColumn >= matrix.columns ||\n    endColumn < 0 ||\n    endColumn >= matrix.columns\n  ) {\n    throw new RangeError('Submatrix indices are out of range');\n  }\n}\n\nexport function newArray(length, value = 0) {\n  let array = [];\n  for (let i = 0; i < length; i++) {\n    array.push(value);\n  }\n  return array;\n}\n\nfunction checkNumber(name, value) {\n  if (typeof value !== 'number') {\n    throw new TypeError(`${name} must be a number`);\n  }\n}\n\nexport function checkNonEmpty(matrix) {\n  if (matrix.isEmpty()) {\n    throw new Error('Empty matrix has no elements to index');\n  }\n}\n","import { isAnyArray } from 'is-any-array';\nimport rescale from 'ml-array-rescale';\n\nimport { inspectMatrix, inspectMatrixWithOptions } from './inspect';\nimport { installMathOperations } from './mathOperations';\nimport {\n  sumByRow,\n  sumByColumn,\n  sumAll,\n  productByRow,\n  productByColumn,\n  productAll,\n  varianceByRow,\n  varianceByColumn,\n  varianceAll,\n  centerByRow,\n  centerByColumn,\n  centerAll,\n  scaleByRow,\n  scaleByColumn,\n  scaleAll,\n  getScaleByRow,\n  getScaleByColumn,\n  getScaleAll,\n} from './stat';\nimport {\n  checkRowVector,\n  checkRowIndex,\n  checkColumnIndex,\n  checkColumnVector,\n  checkRange,\n  checkNonEmpty,\n  checkRowIndices,\n  checkColumnIndices,\n} from './util';\n\nexport class AbstractMatrix {\n  static from1DArray(newRows, newColumns, newData) {\n    let length = newRows * newColumns;\n    if (length !== newData.length) {\n      throw new RangeError('data length does not match given dimensions');\n    }\n    let newMatrix = new Matrix(newRows, newColumns);\n    for (let row = 0; row < newRows; row++) {\n      for (let column = 0; column < newColumns; column++) {\n        newMatrix.set(row, column, newData[row * newColumns + column]);\n      }\n    }\n    return newMatrix;\n  }\n\n  static rowVector(newData) {\n    let vector = new Matrix(1, newData.length);\n    for (let i = 0; i < newData.length; i++) {\n      vector.set(0, i, newData[i]);\n    }\n    return vector;\n  }\n\n  static columnVector(newData) {\n    let vector = new Matrix(newData.length, 1);\n    for (let i = 0; i < newData.length; i++) {\n      vector.set(i, 0, newData[i]);\n    }\n    return vector;\n  }\n\n  static zeros(rows, columns) {\n    return new Matrix(rows, columns);\n  }\n\n  static ones(rows, columns) {\n    return new Matrix(rows, columns).fill(1);\n  }\n\n  static rand(rows, columns, options = {}) {\n    if (typeof options !== 'object') {\n      throw new TypeError('options must be an object');\n    }\n    const { random = Math.random } = options;\n    let matrix = new Matrix(rows, columns);\n    for (let i = 0; i < rows; i++) {\n      for (let j = 0; j < columns; j++) {\n        matrix.set(i, j, random());\n      }\n    }\n    return matrix;\n  }\n\n  static randInt(rows, columns, options = {}) {\n    if (typeof options !== 'object') {\n      throw new TypeError('options must be an object');\n    }\n    const { min = 0, max = 1000, random = Math.random } = options;\n    if (!Number.isInteger(min)) throw new TypeError('min must be an integer');\n    if (!Number.isInteger(max)) throw new TypeError('max must be an integer');\n    if (min >= max) throw new RangeError('min must be smaller than max');\n    let interval = max - min;\n    let matrix = new Matrix(rows, columns);\n    for (let i = 0; i < rows; i++) {\n      for (let j = 0; j < columns; j++) {\n        let value = min + Math.round(random() * interval);\n        matrix.set(i, j, value);\n      }\n    }\n    return matrix;\n  }\n\n  static eye(rows, columns, value) {\n    if (columns === undefined) columns = rows;\n    if (value === undefined) value = 1;\n    let min = Math.min(rows, columns);\n    let matrix = this.zeros(rows, columns);\n    for (let i = 0; i < min; i++) {\n      matrix.set(i, i, value);\n    }\n    return matrix;\n  }\n\n  static diag(data, rows, columns) {\n    let l = data.length;\n    if (rows === undefined) rows = l;\n    if (columns === undefined) columns = rows;\n    let min = Math.min(l, rows, columns);\n    let matrix = this.zeros(rows, columns);\n    for (let i = 0; i < min; i++) {\n      matrix.set(i, i, data[i]);\n    }\n    return matrix;\n  }\n\n  static min(matrix1, matrix2) {\n    matrix1 = this.checkMatrix(matrix1);\n    matrix2 = this.checkMatrix(matrix2);\n    let rows = matrix1.rows;\n    let columns = matrix1.columns;\n    let result = new Matrix(rows, columns);\n    for (let i = 0; i < rows; i++) {\n      for (let j = 0; j < columns; j++) {\n        result.set(i, j, Math.min(matrix1.get(i, j), matrix2.get(i, j)));\n      }\n    }\n    return result;\n  }\n\n  static max(matrix1, matrix2) {\n    matrix1 = this.checkMatrix(matrix1);\n    matrix2 = this.checkMatrix(matrix2);\n    let rows = matrix1.rows;\n    let columns = matrix1.columns;\n    let result = new this(rows, columns);\n    for (let i = 0; i < rows; i++) {\n      for (let j = 0; j < columns; j++) {\n        result.set(i, j, Math.max(matrix1.get(i, j), matrix2.get(i, j)));\n      }\n    }\n    return result;\n  }\n\n  static checkMatrix(value) {\n    return AbstractMatrix.isMatrix(value) ? value : new Matrix(value);\n  }\n\n  static isMatrix(value) {\n    return value != null && value.klass === 'Matrix';\n  }\n\n  get size() {\n    return this.rows * this.columns;\n  }\n\n  apply(callback) {\n    if (typeof callback !== 'function') {\n      throw new TypeError('callback must be a function');\n    }\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        callback.call(this, i, j);\n      }\n    }\n    return this;\n  }\n\n  to1DArray() {\n    let array = [];\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        array.push(this.get(i, j));\n      }\n    }\n    return array;\n  }\n\n  to2DArray() {\n    let copy = [];\n    for (let i = 0; i < this.rows; i++) {\n      copy.push([]);\n      for (let j = 0; j < this.columns; j++) {\n        copy[i].push(this.get(i, j));\n      }\n    }\n    return copy;\n  }\n\n  toJSON() {\n    return this.to2DArray();\n  }\n\n  isRowVector() {\n    return this.rows === 1;\n  }\n\n  isColumnVector() {\n    return this.columns === 1;\n  }\n\n  isVector() {\n    return this.rows === 1 || this.columns === 1;\n  }\n\n  isSquare() {\n    return this.rows === this.columns;\n  }\n\n  isEmpty() {\n    return this.rows === 0 || this.columns === 0;\n  }\n\n  isSymmetric() {\n    if (this.isSquare()) {\n      for (let i = 0; i < this.rows; i++) {\n        for (let j = 0; j <= i; j++) {\n          if (this.get(i, j) !== this.get(j, i)) {\n            return false;\n          }\n        }\n      }\n      return true;\n    }\n    return false;\n  }\n\n  isEchelonForm() {\n    let i = 0;\n    let j = 0;\n    let previousColumn = -1;\n    let isEchelonForm = true;\n    let checked = false;\n    while (i < this.rows && isEchelonForm) {\n      j = 0;\n      checked = false;\n      while (j < this.columns && checked === false) {\n        if (this.get(i, j) === 0) {\n          j++;\n        } else if (this.get(i, j) === 1 && j > previousColumn) {\n          checked = true;\n          previousColumn = j;\n        } else {\n          isEchelonForm = false;\n          checked = true;\n        }\n      }\n      i++;\n    }\n    return isEchelonForm;\n  }\n\n  isReducedEchelonForm() {\n    let i = 0;\n    let j = 0;\n    let previousColumn = -1;\n    let isReducedEchelonForm = true;\n    let checked = false;\n    while (i < this.rows && isReducedEchelonForm) {\n      j = 0;\n      checked = false;\n      while (j < this.columns && checked === false) {\n        if (this.get(i, j) === 0) {\n          j++;\n        } else if (this.get(i, j) === 1 && j > previousColumn) {\n          checked = true;\n          previousColumn = j;\n        } else {\n          isReducedEchelonForm = false;\n          checked = true;\n        }\n      }\n      for (let k = j + 1; k < this.rows; k++) {\n        if (this.get(i, k) !== 0) {\n          isReducedEchelonForm = false;\n        }\n      }\n      i++;\n    }\n    return isReducedEchelonForm;\n  }\n\n  echelonForm() {\n    let result = this.clone();\n    let h = 0;\n    let k = 0;\n    while (h < result.rows && k < result.columns) {\n      let iMax = h;\n      for (let i = h; i < result.rows; i++) {\n        if (result.get(i, k) > result.get(iMax, k)) {\n          iMax = i;\n        }\n      }\n      if (result.get(iMax, k) === 0) {\n        k++;\n      } else {\n        result.swapRows(h, iMax);\n        let tmp = result.get(h, k);\n        for (let j = k; j < result.columns; j++) {\n          result.set(h, j, result.get(h, j) / tmp);\n        }\n        for (let i = h + 1; i < result.rows; i++) {\n          let factor = result.get(i, k) / result.get(h, k);\n          result.set(i, k, 0);\n          for (let j = k + 1; j < result.columns; j++) {\n            result.set(i, j, result.get(i, j) - result.get(h, j) * factor);\n          }\n        }\n        h++;\n        k++;\n      }\n    }\n    return result;\n  }\n\n  reducedEchelonForm() {\n    let result = this.echelonForm();\n    let m = result.columns;\n    let n = result.rows;\n    let h = n - 1;\n    while (h >= 0) {\n      if (result.maxRow(h) === 0) {\n        h--;\n      } else {\n        let p = 0;\n        let pivot = false;\n        while (p < n && pivot === false) {\n          if (result.get(h, p) === 1) {\n            pivot = true;\n          } else {\n            p++;\n          }\n        }\n        for (let i = 0; i < h; i++) {\n          let factor = result.get(i, p);\n          for (let j = p; j < m; j++) {\n            let tmp = result.get(i, j) - factor * result.get(h, j);\n            result.set(i, j, tmp);\n          }\n        }\n        h--;\n      }\n    }\n    return result;\n  }\n\n  set() {\n    throw new Error('set method is unimplemented');\n  }\n\n  get() {\n    throw new Error('get method is unimplemented');\n  }\n\n  repeat(options = {}) {\n    if (typeof options !== 'object') {\n      throw new TypeError('options must be an object');\n    }\n    const { rows = 1, columns = 1 } = options;\n    if (!Number.isInteger(rows) || rows <= 0) {\n      throw new TypeError('rows must be a positive integer');\n    }\n    if (!Number.isInteger(columns) || columns <= 0) {\n      throw new TypeError('columns must be a positive integer');\n    }\n    let matrix = new Matrix(this.rows * rows, this.columns * columns);\n    for (let i = 0; i < rows; i++) {\n      for (let j = 0; j < columns; j++) {\n        matrix.setSubMatrix(this, this.rows * i, this.columns * j);\n      }\n    }\n    return matrix;\n  }\n\n  fill(value) {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, value);\n      }\n    }\n    return this;\n  }\n\n  neg() {\n    return this.mulS(-1);\n  }\n\n  getRow(index) {\n    checkRowIndex(this, index);\n    let row = [];\n    for (let i = 0; i < this.columns; i++) {\n      row.push(this.get(index, i));\n    }\n    return row;\n  }\n\n  getRowVector(index) {\n    return Matrix.rowVector(this.getRow(index));\n  }\n\n  setRow(index, array) {\n    checkRowIndex(this, index);\n    array = checkRowVector(this, array);\n    for (let i = 0; i < this.columns; i++) {\n      this.set(index, i, array[i]);\n    }\n    return this;\n  }\n\n  swapRows(row1, row2) {\n    checkRowIndex(this, row1);\n    checkRowIndex(this, row2);\n    for (let i = 0; i < this.columns; i++) {\n      let temp = this.get(row1, i);\n      this.set(row1, i, this.get(row2, i));\n      this.set(row2, i, temp);\n    }\n    return this;\n  }\n\n  getColumn(index) {\n    checkColumnIndex(this, index);\n    let column = [];\n    for (let i = 0; i < this.rows; i++) {\n      column.push(this.get(i, index));\n    }\n    return column;\n  }\n\n  getColumnVector(index) {\n    return Matrix.columnVector(this.getColumn(index));\n  }\n\n  setColumn(index, array) {\n    checkColumnIndex(this, index);\n    array = checkColumnVector(this, array);\n    for (let i = 0; i < this.rows; i++) {\n      this.set(i, index, array[i]);\n    }\n    return this;\n  }\n\n  swapColumns(column1, column2) {\n    checkColumnIndex(this, column1);\n    checkColumnIndex(this, column2);\n    for (let i = 0; i < this.rows; i++) {\n      let temp = this.get(i, column1);\n      this.set(i, column1, this.get(i, column2));\n      this.set(i, column2, temp);\n    }\n    return this;\n  }\n\n  addRowVector(vector) {\n    vector = checkRowVector(this, vector);\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) + vector[j]);\n      }\n    }\n    return this;\n  }\n\n  subRowVector(vector) {\n    vector = checkRowVector(this, vector);\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) - vector[j]);\n      }\n    }\n    return this;\n  }\n\n  mulRowVector(vector) {\n    vector = checkRowVector(this, vector);\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) * vector[j]);\n      }\n    }\n    return this;\n  }\n\n  divRowVector(vector) {\n    vector = checkRowVector(this, vector);\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) / vector[j]);\n      }\n    }\n    return this;\n  }\n\n  addColumnVector(vector) {\n    vector = checkColumnVector(this, vector);\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) + vector[i]);\n      }\n    }\n    return this;\n  }\n\n  subColumnVector(vector) {\n    vector = checkColumnVector(this, vector);\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) - vector[i]);\n      }\n    }\n    return this;\n  }\n\n  mulColumnVector(vector) {\n    vector = checkColumnVector(this, vector);\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) * vector[i]);\n      }\n    }\n    return this;\n  }\n\n  divColumnVector(vector) {\n    vector = checkColumnVector(this, vector);\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) / vector[i]);\n      }\n    }\n    return this;\n  }\n\n  mulRow(index, value) {\n    checkRowIndex(this, index);\n    for (let i = 0; i < this.columns; i++) {\n      this.set(index, i, this.get(index, i) * value);\n    }\n    return this;\n  }\n\n  mulColumn(index, value) {\n    checkColumnIndex(this, index);\n    for (let i = 0; i < this.rows; i++) {\n      this.set(i, index, this.get(i, index) * value);\n    }\n    return this;\n  }\n\n  max(by) {\n    if (this.isEmpty()) {\n      return NaN;\n    }\n    switch (by) {\n      case 'row': {\n        const max = new Array(this.rows).fill(Number.NEGATIVE_INFINITY);\n        for (let row = 0; row < this.rows; row++) {\n          for (let column = 0; column < this.columns; column++) {\n            if (this.get(row, column) > max[row]) {\n              max[row] = this.get(row, column);\n            }\n          }\n        }\n        return max;\n      }\n      case 'column': {\n        const max = new Array(this.columns).fill(Number.NEGATIVE_INFINITY);\n        for (let row = 0; row < this.rows; row++) {\n          for (let column = 0; column < this.columns; column++) {\n            if (this.get(row, column) > max[column]) {\n              max[column] = this.get(row, column);\n            }\n          }\n        }\n        return max;\n      }\n      case undefined: {\n        let max = this.get(0, 0);\n        for (let row = 0; row < this.rows; row++) {\n          for (let column = 0; column < this.columns; column++) {\n            if (this.get(row, column) > max) {\n              max = this.get(row, column);\n            }\n          }\n        }\n        return max;\n      }\n      default:\n        throw new Error(`invalid option: ${by}`);\n    }\n  }\n\n  maxIndex() {\n    checkNonEmpty(this);\n    let v = this.get(0, 0);\n    let idx = [0, 0];\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        if (this.get(i, j) > v) {\n          v = this.get(i, j);\n          idx[0] = i;\n          idx[1] = j;\n        }\n      }\n    }\n    return idx;\n  }\n\n  min(by) {\n    if (this.isEmpty()) {\n      return NaN;\n    }\n\n    switch (by) {\n      case 'row': {\n        const min = new Array(this.rows).fill(Number.POSITIVE_INFINITY);\n        for (let row = 0; row < this.rows; row++) {\n          for (let column = 0; column < this.columns; column++) {\n            if (this.get(row, column) < min[row]) {\n              min[row] = this.get(row, column);\n            }\n          }\n        }\n        return min;\n      }\n      case 'column': {\n        const min = new Array(this.columns).fill(Number.POSITIVE_INFINITY);\n        for (let row = 0; row < this.rows; row++) {\n          for (let column = 0; column < this.columns; column++) {\n            if (this.get(row, column) < min[column]) {\n              min[column] = this.get(row, column);\n            }\n          }\n        }\n        return min;\n      }\n      case undefined: {\n        let min = this.get(0, 0);\n        for (let row = 0; row < this.rows; row++) {\n          for (let column = 0; column < this.columns; column++) {\n            if (this.get(row, column) < min) {\n              min = this.get(row, column);\n            }\n          }\n        }\n        return min;\n      }\n      default:\n        throw new Error(`invalid option: ${by}`);\n    }\n  }\n\n  minIndex() {\n    checkNonEmpty(this);\n    let v = this.get(0, 0);\n    let idx = [0, 0];\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        if (this.get(i, j) < v) {\n          v = this.get(i, j);\n          idx[0] = i;\n          idx[1] = j;\n        }\n      }\n    }\n    return idx;\n  }\n\n  maxRow(row) {\n    checkRowIndex(this, row);\n    if (this.isEmpty()) {\n      return NaN;\n    }\n    let v = this.get(row, 0);\n    for (let i = 1; i < this.columns; i++) {\n      if (this.get(row, i) > v) {\n        v = this.get(row, i);\n      }\n    }\n    return v;\n  }\n\n  maxRowIndex(row) {\n    checkRowIndex(this, row);\n    checkNonEmpty(this);\n    let v = this.get(row, 0);\n    let idx = [row, 0];\n    for (let i = 1; i < this.columns; i++) {\n      if (this.get(row, i) > v) {\n        v = this.get(row, i);\n        idx[1] = i;\n      }\n    }\n    return idx;\n  }\n\n  minRow(row) {\n    checkRowIndex(this, row);\n    if (this.isEmpty()) {\n      return NaN;\n    }\n    let v = this.get(row, 0);\n    for (let i = 1; i < this.columns; i++) {\n      if (this.get(row, i) < v) {\n        v = this.get(row, i);\n      }\n    }\n    return v;\n  }\n\n  minRowIndex(row) {\n    checkRowIndex(this, row);\n    checkNonEmpty(this);\n    let v = this.get(row, 0);\n    let idx = [row, 0];\n    for (let i = 1; i < this.columns; i++) {\n      if (this.get(row, i) < v) {\n        v = this.get(row, i);\n        idx[1] = i;\n      }\n    }\n    return idx;\n  }\n\n  maxColumn(column) {\n    checkColumnIndex(this, column);\n    if (this.isEmpty()) {\n      return NaN;\n    }\n    let v = this.get(0, column);\n    for (let i = 1; i < this.rows; i++) {\n      if (this.get(i, column) > v) {\n        v = this.get(i, column);\n      }\n    }\n    return v;\n  }\n\n  maxColumnIndex(column) {\n    checkColumnIndex(this, column);\n    checkNonEmpty(this);\n    let v = this.get(0, column);\n    let idx = [0, column];\n    for (let i = 1; i < this.rows; i++) {\n      if (this.get(i, column) > v) {\n        v = this.get(i, column);\n        idx[0] = i;\n      }\n    }\n    return idx;\n  }\n\n  minColumn(column) {\n    checkColumnIndex(this, column);\n    if (this.isEmpty()) {\n      return NaN;\n    }\n    let v = this.get(0, column);\n    for (let i = 1; i < this.rows; i++) {\n      if (this.get(i, column) < v) {\n        v = this.get(i, column);\n      }\n    }\n    return v;\n  }\n\n  minColumnIndex(column) {\n    checkColumnIndex(this, column);\n    checkNonEmpty(this);\n    let v = this.get(0, column);\n    let idx = [0, column];\n    for (let i = 1; i < this.rows; i++) {\n      if (this.get(i, column) < v) {\n        v = this.get(i, column);\n        idx[0] = i;\n      }\n    }\n    return idx;\n  }\n\n  diag() {\n    let min = Math.min(this.rows, this.columns);\n    let diag = [];\n    for (let i = 0; i < min; i++) {\n      diag.push(this.get(i, i));\n    }\n    return diag;\n  }\n\n  norm(type = 'frobenius') {\n    let result = 0;\n    if (type === 'max') {\n      return this.max();\n    } else if (type === 'frobenius') {\n      for (let i = 0; i < this.rows; i++) {\n        for (let j = 0; j < this.columns; j++) {\n          result = result + this.get(i, j) * this.get(i, j);\n        }\n      }\n      return Math.sqrt(result);\n    } else {\n      throw new RangeError(`unknown norm type: ${type}`);\n    }\n  }\n\n  cumulativeSum() {\n    let sum = 0;\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        sum += this.get(i, j);\n        this.set(i, j, sum);\n      }\n    }\n    return this;\n  }\n\n  dot(vector2) {\n    if (AbstractMatrix.isMatrix(vector2)) vector2 = vector2.to1DArray();\n    let vector1 = this.to1DArray();\n    if (vector1.length !== vector2.length) {\n      throw new RangeError('vectors do not have the same size');\n    }\n    let dot = 0;\n    for (let i = 0; i < vector1.length; i++) {\n      dot += vector1[i] * vector2[i];\n    }\n    return dot;\n  }\n\n  mmul(other) {\n    other = Matrix.checkMatrix(other);\n\n    let m = this.rows;\n    let n = this.columns;\n    let p = other.columns;\n\n    let result = new Matrix(m, p);\n\n    let Bcolj = new Float64Array(n);\n    for (let j = 0; j < p; j++) {\n      for (let k = 0; k < n; k++) {\n        Bcolj[k] = other.get(k, j);\n      }\n\n      for (let i = 0; i < m; i++) {\n        let s = 0;\n        for (let k = 0; k < n; k++) {\n          s += this.get(i, k) * Bcolj[k];\n        }\n\n        result.set(i, j, s);\n      }\n    }\n    return result;\n  }\n\n  strassen2x2(other) {\n    other = Matrix.checkMatrix(other);\n    let result = new Matrix(2, 2);\n    const a11 = this.get(0, 0);\n    const b11 = other.get(0, 0);\n    const a12 = this.get(0, 1);\n    const b12 = other.get(0, 1);\n    const a21 = this.get(1, 0);\n    const b21 = other.get(1, 0);\n    const a22 = this.get(1, 1);\n    const b22 = other.get(1, 1);\n\n    // Compute intermediate values.\n    const m1 = (a11 + a22) * (b11 + b22);\n    const m2 = (a21 + a22) * b11;\n    const m3 = a11 * (b12 - b22);\n    const m4 = a22 * (b21 - b11);\n    const m5 = (a11 + a12) * b22;\n    const m6 = (a21 - a11) * (b11 + b12);\n    const m7 = (a12 - a22) * (b21 + b22);\n\n    // Combine intermediate values into the output.\n    const c00 = m1 + m4 - m5 + m7;\n    const c01 = m3 + m5;\n    const c10 = m2 + m4;\n    const c11 = m1 - m2 + m3 + m6;\n\n    result.set(0, 0, c00);\n    result.set(0, 1, c01);\n    result.set(1, 0, c10);\n    result.set(1, 1, c11);\n    return result;\n  }\n\n  strassen3x3(other) {\n    other = Matrix.checkMatrix(other);\n    let result = new Matrix(3, 3);\n\n    const a00 = this.get(0, 0);\n    const a01 = this.get(0, 1);\n    const a02 = this.get(0, 2);\n    const a10 = this.get(1, 0);\n    const a11 = this.get(1, 1);\n    const a12 = this.get(1, 2);\n    const a20 = this.get(2, 0);\n    const a21 = this.get(2, 1);\n    const a22 = this.get(2, 2);\n\n    const b00 = other.get(0, 0);\n    const b01 = other.get(0, 1);\n    const b02 = other.get(0, 2);\n    const b10 = other.get(1, 0);\n    const b11 = other.get(1, 1);\n    const b12 = other.get(1, 2);\n    const b20 = other.get(2, 0);\n    const b21 = other.get(2, 1);\n    const b22 = other.get(2, 2);\n\n    const m1 = (a00 + a01 + a02 - a10 - a11 - a21 - a22) * b11;\n    const m2 = (a00 - a10) * (-b01 + b11);\n    const m3 = a11 * (-b00 + b01 + b10 - b11 - b12 - b20 + b22);\n    const m4 = (-a00 + a10 + a11) * (b00 - b01 + b11);\n    const m5 = (a10 + a11) * (-b00 + b01);\n    const m6 = a00 * b00;\n    const m7 = (-a00 + a20 + a21) * (b00 - b02 + b12);\n    const m8 = (-a00 + a20) * (b02 - b12);\n    const m9 = (a20 + a21) * (-b00 + b02);\n    const m10 = (a00 + a01 + a02 - a11 - a12 - a20 - a21) * b12;\n    const m11 = a21 * (-b00 + b02 + b10 - b11 - b12 - b20 + b21);\n    const m12 = (-a02 + a21 + a22) * (b11 + b20 - b21);\n    const m13 = (a02 - a22) * (b11 - b21);\n    const m14 = a02 * b20;\n    const m15 = (a21 + a22) * (-b20 + b21);\n    const m16 = (-a02 + a11 + a12) * (b12 + b20 - b22);\n    const m17 = (a02 - a12) * (b12 - b22);\n    const m18 = (a11 + a12) * (-b20 + b22);\n    const m19 = a01 * b10;\n    const m20 = a12 * b21;\n    const m21 = a10 * b02;\n    const m22 = a20 * b01;\n    const m23 = a22 * b22;\n\n    const c00 = m6 + m14 + m19;\n    const c01 = m1 + m4 + m5 + m6 + m12 + m14 + m15;\n    const c02 = m6 + m7 + m9 + m10 + m14 + m16 + m18;\n    const c10 = m2 + m3 + m4 + m6 + m14 + m16 + m17;\n    const c11 = m2 + m4 + m5 + m6 + m20;\n    const c12 = m14 + m16 + m17 + m18 + m21;\n    const c20 = m6 + m7 + m8 + m11 + m12 + m13 + m14;\n    const c21 = m12 + m13 + m14 + m15 + m22;\n    const c22 = m6 + m7 + m8 + m9 + m23;\n\n    result.set(0, 0, c00);\n    result.set(0, 1, c01);\n    result.set(0, 2, c02);\n    result.set(1, 0, c10);\n    result.set(1, 1, c11);\n    result.set(1, 2, c12);\n    result.set(2, 0, c20);\n    result.set(2, 1, c21);\n    result.set(2, 2, c22);\n    return result;\n  }\n\n  mmulStrassen(y) {\n    y = Matrix.checkMatrix(y);\n    let x = this.clone();\n    let r1 = x.rows;\n    let c1 = x.columns;\n    let r2 = y.rows;\n    let c2 = y.columns;\n    if (c1 !== r2) {\n      // eslint-disable-next-line no-console\n      console.warn(\n        `Multiplying ${r1} x ${c1} and ${r2} x ${c2} matrix: dimensions do not match.`,\n      );\n    }\n\n    // Put a matrix into the top left of a matrix of zeros.\n    // `rows` and `cols` are the dimensions of the output matrix.\n    function embed(mat, rows, cols) {\n      let r = mat.rows;\n      let c = mat.columns;\n      if (r === rows && c === cols) {\n        return mat;\n      } else {\n        let resultat = AbstractMatrix.zeros(rows, cols);\n        resultat = resultat.setSubMatrix(mat, 0, 0);\n        return resultat;\n      }\n    }\n\n    // Make sure both matrices are the same size.\n    // This is exclusively for simplicity:\n    // this algorithm can be implemented with matrices of different sizes.\n\n    let r = Math.max(r1, r2);\n    let c = Math.max(c1, c2);\n    x = embed(x, r, c);\n    y = embed(y, r, c);\n\n    // Our recursive multiplication function.\n    function blockMult(a, b, rows, cols) {\n      // For small matrices, resort to naive multiplication.\n      if (rows <= 512 || cols <= 512) {\n        return a.mmul(b); // a is equivalent to this\n      }\n\n      // Apply dynamic padding.\n      if (rows % 2 === 1 && cols % 2 === 1) {\n        a = embed(a, rows + 1, cols + 1);\n        b = embed(b, rows + 1, cols + 1);\n      } else if (rows % 2 === 1) {\n        a = embed(a, rows + 1, cols);\n        b = embed(b, rows + 1, cols);\n      } else if (cols % 2 === 1) {\n        a = embed(a, rows, cols + 1);\n        b = embed(b, rows, cols + 1);\n      }\n\n      let halfRows = parseInt(a.rows / 2, 10);\n      let halfCols = parseInt(a.columns / 2, 10);\n      // Subdivide input matrices.\n      let a11 = a.subMatrix(0, halfRows - 1, 0, halfCols - 1);\n      let b11 = b.subMatrix(0, halfRows - 1, 0, halfCols - 1);\n\n      let a12 = a.subMatrix(0, halfRows - 1, halfCols, a.columns - 1);\n      let b12 = b.subMatrix(0, halfRows - 1, halfCols, b.columns - 1);\n\n      let a21 = a.subMatrix(halfRows, a.rows - 1, 0, halfCols - 1);\n      let b21 = b.subMatrix(halfRows, b.rows - 1, 0, halfCols - 1);\n\n      let a22 = a.subMatrix(halfRows, a.rows - 1, halfCols, a.columns - 1);\n      let b22 = b.subMatrix(halfRows, b.rows - 1, halfCols, b.columns - 1);\n\n      // Compute intermediate values.\n      let m1 = blockMult(\n        AbstractMatrix.add(a11, a22),\n        AbstractMatrix.add(b11, b22),\n        halfRows,\n        halfCols,\n      );\n      let m2 = blockMult(AbstractMatrix.add(a21, a22), b11, halfRows, halfCols);\n      let m3 = blockMult(a11, AbstractMatrix.sub(b12, b22), halfRows, halfCols);\n      let m4 = blockMult(a22, AbstractMatrix.sub(b21, b11), halfRows, halfCols);\n      let m5 = blockMult(AbstractMatrix.add(a11, a12), b22, halfRows, halfCols);\n      let m6 = blockMult(\n        AbstractMatrix.sub(a21, a11),\n        AbstractMatrix.add(b11, b12),\n        halfRows,\n        halfCols,\n      );\n      let m7 = blockMult(\n        AbstractMatrix.sub(a12, a22),\n        AbstractMatrix.add(b21, b22),\n        halfRows,\n        halfCols,\n      );\n\n      // Combine intermediate values into the output.\n      let c11 = AbstractMatrix.add(m1, m4);\n      c11.sub(m5);\n      c11.add(m7);\n      let c12 = AbstractMatrix.add(m3, m5);\n      let c21 = AbstractMatrix.add(m2, m4);\n      let c22 = AbstractMatrix.sub(m1, m2);\n      c22.add(m3);\n      c22.add(m6);\n\n      // Crop output to the desired size (undo dynamic padding).\n      let resultat = AbstractMatrix.zeros(2 * c11.rows, 2 * c11.columns);\n      resultat = resultat.setSubMatrix(c11, 0, 0);\n      resultat = resultat.setSubMatrix(c12, c11.rows, 0);\n      resultat = resultat.setSubMatrix(c21, 0, c11.columns);\n      resultat = resultat.setSubMatrix(c22, c11.rows, c11.columns);\n      return resultat.subMatrix(0, rows - 1, 0, cols - 1);\n    }\n\n    return blockMult(x, y, r, c);\n  }\n\n  scaleRows(options = {}) {\n    if (typeof options !== 'object') {\n      throw new TypeError('options must be an object');\n    }\n    const { min = 0, max = 1 } = options;\n    if (!Number.isFinite(min)) throw new TypeError('min must be a number');\n    if (!Number.isFinite(max)) throw new TypeError('max must be a number');\n    if (min >= max) throw new RangeError('min must be smaller than max');\n    let newMatrix = new Matrix(this.rows, this.columns);\n    for (let i = 0; i < this.rows; i++) {\n      const row = this.getRow(i);\n      if (row.length > 0) {\n        rescale(row, { min, max, output: row });\n      }\n      newMatrix.setRow(i, row);\n    }\n    return newMatrix;\n  }\n\n  scaleColumns(options = {}) {\n    if (typeof options !== 'object') {\n      throw new TypeError('options must be an object');\n    }\n    const { min = 0, max = 1 } = options;\n    if (!Number.isFinite(min)) throw new TypeError('min must be a number');\n    if (!Number.isFinite(max)) throw new TypeError('max must be a number');\n    if (min >= max) throw new RangeError('min must be smaller than max');\n    let newMatrix = new Matrix(this.rows, this.columns);\n    for (let i = 0; i < this.columns; i++) {\n      const column = this.getColumn(i);\n      if (column.length) {\n        rescale(column, {\n          min: min,\n          max: max,\n          output: column,\n        });\n      }\n      newMatrix.setColumn(i, column);\n    }\n    return newMatrix;\n  }\n\n  flipRows() {\n    const middle = Math.ceil(this.columns / 2);\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < middle; j++) {\n        let first = this.get(i, j);\n        let last = this.get(i, this.columns - 1 - j);\n        this.set(i, j, last);\n        this.set(i, this.columns - 1 - j, first);\n      }\n    }\n    return this;\n  }\n\n  flipColumns() {\n    const middle = Math.ceil(this.rows / 2);\n    for (let j = 0; j < this.columns; j++) {\n      for (let i = 0; i < middle; i++) {\n        let first = this.get(i, j);\n        let last = this.get(this.rows - 1 - i, j);\n        this.set(i, j, last);\n        this.set(this.rows - 1 - i, j, first);\n      }\n    }\n    return this;\n  }\n\n  kroneckerProduct(other) {\n    other = Matrix.checkMatrix(other);\n\n    let m = this.rows;\n    let n = this.columns;\n    let p = other.rows;\n    let q = other.columns;\n\n    let result = new Matrix(m * p, n * q);\n    for (let i = 0; i < m; i++) {\n      for (let j = 0; j < n; j++) {\n        for (let k = 0; k < p; k++) {\n          for (let l = 0; l < q; l++) {\n            result.set(p * i + k, q * j + l, this.get(i, j) * other.get(k, l));\n          }\n        }\n      }\n    }\n    return result;\n  }\n\n  kroneckerSum(other) {\n    other = Matrix.checkMatrix(other);\n    if (!this.isSquare() || !other.isSquare()) {\n      throw new Error('Kronecker Sum needs two Square Matrices');\n    }\n    let m = this.rows;\n    let n = other.rows;\n    let AxI = this.kroneckerProduct(Matrix.eye(n, n));\n    let IxB = Matrix.eye(m, m).kroneckerProduct(other);\n    return AxI.add(IxB);\n  }\n\n  transpose() {\n    let result = new Matrix(this.columns, this.rows);\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        result.set(j, i, this.get(i, j));\n      }\n    }\n    return result;\n  }\n\n  sortRows(compareFunction = compareNumbers) {\n    for (let i = 0; i < this.rows; i++) {\n      this.setRow(i, this.getRow(i).sort(compareFunction));\n    }\n    return this;\n  }\n\n  sortColumns(compareFunction = compareNumbers) {\n    for (let i = 0; i < this.columns; i++) {\n      this.setColumn(i, this.getColumn(i).sort(compareFunction));\n    }\n    return this;\n  }\n\n  subMatrix(startRow, endRow, startColumn, endColumn) {\n    checkRange(this, startRow, endRow, startColumn, endColumn);\n    let newMatrix = new Matrix(\n      endRow - startRow + 1,\n      endColumn - startColumn + 1,\n    );\n    for (let i = startRow; i <= endRow; i++) {\n      for (let j = startColumn; j <= endColumn; j++) {\n        newMatrix.set(i - startRow, j - startColumn, this.get(i, j));\n      }\n    }\n    return newMatrix;\n  }\n\n  subMatrixRow(indices, startColumn, endColumn) {\n    if (startColumn === undefined) startColumn = 0;\n    if (endColumn === undefined) endColumn = this.columns - 1;\n    if (\n      startColumn > endColumn ||\n      startColumn < 0 ||\n      startColumn >= this.columns ||\n      endColumn < 0 ||\n      endColumn >= this.columns\n    ) {\n      throw new RangeError('Argument out of range');\n    }\n\n    let newMatrix = new Matrix(indices.length, endColumn - startColumn + 1);\n    for (let i = 0; i < indices.length; i++) {\n      for (let j = startColumn; j <= endColumn; j++) {\n        if (indices[i] < 0 || indices[i] >= this.rows) {\n          throw new RangeError(`Row index out of range: ${indices[i]}`);\n        }\n        newMatrix.set(i, j - startColumn, this.get(indices[i], j));\n      }\n    }\n    return newMatrix;\n  }\n\n  subMatrixColumn(indices, startRow, endRow) {\n    if (startRow === undefined) startRow = 0;\n    if (endRow === undefined) endRow = this.rows - 1;\n    if (\n      startRow > endRow ||\n      startRow < 0 ||\n      startRow >= this.rows ||\n      endRow < 0 ||\n      endRow >= this.rows\n    ) {\n      throw new RangeError('Argument out of range');\n    }\n\n    let newMatrix = new Matrix(endRow - startRow + 1, indices.length);\n    for (let i = 0; i < indices.length; i++) {\n      for (let j = startRow; j <= endRow; j++) {\n        if (indices[i] < 0 || indices[i] >= this.columns) {\n          throw new RangeError(`Column index out of range: ${indices[i]}`);\n        }\n        newMatrix.set(j - startRow, i, this.get(j, indices[i]));\n      }\n    }\n    return newMatrix;\n  }\n\n  setSubMatrix(matrix, startRow, startColumn) {\n    matrix = Matrix.checkMatrix(matrix);\n    if (matrix.isEmpty()) {\n      return this;\n    }\n    let endRow = startRow + matrix.rows - 1;\n    let endColumn = startColumn + matrix.columns - 1;\n    checkRange(this, startRow, endRow, startColumn, endColumn);\n    for (let i = 0; i < matrix.rows; i++) {\n      for (let j = 0; j < matrix.columns; j++) {\n        this.set(startRow + i, startColumn + j, matrix.get(i, j));\n      }\n    }\n    return this;\n  }\n\n  selection(rowIndices, columnIndices) {\n    checkRowIndices(this, rowIndices);\n    checkColumnIndices(this, columnIndices);\n    let newMatrix = new Matrix(rowIndices.length, columnIndices.length);\n    for (let i = 0; i < rowIndices.length; i++) {\n      let rowIndex = rowIndices[i];\n      for (let j = 0; j < columnIndices.length; j++) {\n        let columnIndex = columnIndices[j];\n        newMatrix.set(i, j, this.get(rowIndex, columnIndex));\n      }\n    }\n    return newMatrix;\n  }\n\n  trace() {\n    let min = Math.min(this.rows, this.columns);\n    let trace = 0;\n    for (let i = 0; i < min; i++) {\n      trace += this.get(i, i);\n    }\n    return trace;\n  }\n\n  clone() {\n    let newMatrix = new Matrix(this.rows, this.columns);\n    for (let row = 0; row < this.rows; row++) {\n      for (let column = 0; column < this.columns; column++) {\n        newMatrix.set(row, column, this.get(row, column));\n      }\n    }\n    return newMatrix;\n  }\n\n  sum(by) {\n    switch (by) {\n      case 'row':\n        return sumByRow(this);\n      case 'column':\n        return sumByColumn(this);\n      case undefined:\n        return sumAll(this);\n      default:\n        throw new Error(`invalid option: ${by}`);\n    }\n  }\n\n  product(by) {\n    switch (by) {\n      case 'row':\n        return productByRow(this);\n      case 'column':\n        return productByColumn(this);\n      case undefined:\n        return productAll(this);\n      default:\n        throw new Error(`invalid option: ${by}`);\n    }\n  }\n\n  mean(by) {\n    const sum = this.sum(by);\n    switch (by) {\n      case 'row': {\n        for (let i = 0; i < this.rows; i++) {\n          sum[i] /= this.columns;\n        }\n        return sum;\n      }\n      case 'column': {\n        for (let i = 0; i < this.columns; i++) {\n          sum[i] /= this.rows;\n        }\n        return sum;\n      }\n      case undefined:\n        return sum / this.size;\n      default:\n        throw new Error(`invalid option: ${by}`);\n    }\n  }\n\n  variance(by, options = {}) {\n    if (typeof by === 'object') {\n      options = by;\n      by = undefined;\n    }\n    if (typeof options !== 'object') {\n      throw new TypeError('options must be an object');\n    }\n    const { unbiased = true, mean = this.mean(by) } = options;\n    if (typeof unbiased !== 'boolean') {\n      throw new TypeError('unbiased must be a boolean');\n    }\n    switch (by) {\n      case 'row': {\n        if (!isAnyArray(mean)) {\n          throw new TypeError('mean must be an array');\n        }\n        return varianceByRow(this, unbiased, mean);\n      }\n      case 'column': {\n        if (!isAnyArray(mean)) {\n          throw new TypeError('mean must be an array');\n        }\n        return varianceByColumn(this, unbiased, mean);\n      }\n      case undefined: {\n        if (typeof mean !== 'number') {\n          throw new TypeError('mean must be a number');\n        }\n        return varianceAll(this, unbiased, mean);\n      }\n      default:\n        throw new Error(`invalid option: ${by}`);\n    }\n  }\n\n  standardDeviation(by, options) {\n    if (typeof by === 'object') {\n      options = by;\n      by = undefined;\n    }\n    const variance = this.variance(by, options);\n    if (by === undefined) {\n      return Math.sqrt(variance);\n    } else {\n      for (let i = 0; i < variance.length; i++) {\n        variance[i] = Math.sqrt(variance[i]);\n      }\n      return variance;\n    }\n  }\n\n  center(by, options = {}) {\n    if (typeof by === 'object') {\n      options = by;\n      by = undefined;\n    }\n    if (typeof options !== 'object') {\n      throw new TypeError('options must be an object');\n    }\n    const { center = this.mean(by) } = options;\n    switch (by) {\n      case 'row': {\n        if (!isAnyArray(center)) {\n          throw new TypeError('center must be an array');\n        }\n        centerByRow(this, center);\n        return this;\n      }\n      case 'column': {\n        if (!isAnyArray(center)) {\n          throw new TypeError('center must be an array');\n        }\n        centerByColumn(this, center);\n        return this;\n      }\n      case undefined: {\n        if (typeof center !== 'number') {\n          throw new TypeError('center must be a number');\n        }\n        centerAll(this, center);\n        return this;\n      }\n      default:\n        throw new Error(`invalid option: ${by}`);\n    }\n  }\n\n  scale(by, options = {}) {\n    if (typeof by === 'object') {\n      options = by;\n      by = undefined;\n    }\n    if (typeof options !== 'object') {\n      throw new TypeError('options must be an object');\n    }\n    let scale = options.scale;\n    switch (by) {\n      case 'row': {\n        if (scale === undefined) {\n          scale = getScaleByRow(this);\n        } else if (!isAnyArray(scale)) {\n          throw new TypeError('scale must be an array');\n        }\n        scaleByRow(this, scale);\n        return this;\n      }\n      case 'column': {\n        if (scale === undefined) {\n          scale = getScaleByColumn(this);\n        } else if (!isAnyArray(scale)) {\n          throw new TypeError('scale must be an array');\n        }\n        scaleByColumn(this, scale);\n        return this;\n      }\n      case undefined: {\n        if (scale === undefined) {\n          scale = getScaleAll(this);\n        } else if (typeof scale !== 'number') {\n          throw new TypeError('scale must be a number');\n        }\n        scaleAll(this, scale);\n        return this;\n      }\n      default:\n        throw new Error(`invalid option: ${by}`);\n    }\n  }\n\n  toString(options) {\n    return inspectMatrixWithOptions(this, options);\n  }\n}\n\nAbstractMatrix.prototype.klass = 'Matrix';\nif (typeof Symbol !== 'undefined') {\n  AbstractMatrix.prototype[Symbol.for('nodejs.util.inspect.custom')] =\n    inspectMatrix;\n}\n\nfunction compareNumbers(a, b) {\n  return a - b;\n}\n\nfunction isArrayOfNumbers(array) {\n  return array.every((element) => {\n    return typeof element === 'number';\n  });\n}\n\n// Synonyms\nAbstractMatrix.random = AbstractMatrix.rand;\nAbstractMatrix.randomInt = AbstractMatrix.randInt;\nAbstractMatrix.diagonal = AbstractMatrix.diag;\nAbstractMatrix.prototype.diagonal = AbstractMatrix.prototype.diag;\nAbstractMatrix.identity = AbstractMatrix.eye;\nAbstractMatrix.prototype.negate = AbstractMatrix.prototype.neg;\nAbstractMatrix.prototype.tensorProduct =\n  AbstractMatrix.prototype.kroneckerProduct;\n\nexport default class Matrix extends AbstractMatrix {\n  constructor(nRows, nColumns) {\n    super();\n    if (Matrix.isMatrix(nRows)) {\n      // eslint-disable-next-line no-constructor-return\n      return nRows.clone();\n    } else if (Number.isInteger(nRows) && nRows >= 0) {\n      // Create an empty matrix\n      this.data = [];\n      if (Number.isInteger(nColumns) && nColumns >= 0) {\n        for (let i = 0; i < nRows; i++) {\n          this.data.push(new Float64Array(nColumns));\n        }\n      } else {\n        throw new TypeError('nColumns must be a positive integer');\n      }\n    } else if (isAnyArray(nRows)) {\n      // Copy the values from the 2D array\n      const arrayData = nRows;\n      nRows = arrayData.length;\n      nColumns = nRows ? arrayData[0].length : 0;\n      if (typeof nColumns !== 'number') {\n        throw new TypeError(\n          'Data must be a 2D array with at least one element',\n        );\n      }\n      this.data = [];\n      for (let i = 0; i < nRows; i++) {\n        if (arrayData[i].length !== nColumns) {\n          throw new RangeError('Inconsistent array dimensions');\n        }\n        if (!isArrayOfNumbers(arrayData[i])) {\n          throw new TypeError('Input data contains non-numeric values');\n        }\n        this.data.push(Float64Array.from(arrayData[i]));\n      }\n    } else {\n      throw new TypeError(\n        'First argument must be a positive number or an array',\n      );\n    }\n    this.rows = nRows;\n    this.columns = nColumns;\n  }\n\n  set(rowIndex, columnIndex, value) {\n    this.data[rowIndex][columnIndex] = value;\n    return this;\n  }\n\n  get(rowIndex, columnIndex) {\n    return this.data[rowIndex][columnIndex];\n  }\n\n  removeRow(index) {\n    checkRowIndex(this, index);\n    this.data.splice(index, 1);\n    this.rows -= 1;\n    return this;\n  }\n\n  addRow(index, array) {\n    if (array === undefined) {\n      array = index;\n      index = this.rows;\n    }\n    checkRowIndex(this, index, true);\n    array = Float64Array.from(checkRowVector(this, array));\n    this.data.splice(index, 0, array);\n    this.rows += 1;\n    return this;\n  }\n\n  removeColumn(index) {\n    checkColumnIndex(this, index);\n    for (let i = 0; i < this.rows; i++) {\n      const newRow = new Float64Array(this.columns - 1);\n      for (let j = 0; j < index; j++) {\n        newRow[j] = this.data[i][j];\n      }\n      for (let j = index + 1; j < this.columns; j++) {\n        newRow[j - 1] = this.data[i][j];\n      }\n      this.data[i] = newRow;\n    }\n    this.columns -= 1;\n    return this;\n  }\n\n  addColumn(index, array) {\n    if (typeof array === 'undefined') {\n      array = index;\n      index = this.columns;\n    }\n    checkColumnIndex(this, index, true);\n    array = checkColumnVector(this, array);\n    for (let i = 0; i < this.rows; i++) {\n      const newRow = new Float64Array(this.columns + 1);\n      let j = 0;\n      for (; j < index; j++) {\n        newRow[j] = this.data[i][j];\n      }\n      newRow[j++] = array[i];\n      for (; j < this.columns + 1; j++) {\n        newRow[j] = this.data[i][j - 1];\n      }\n      this.data[i] = newRow;\n    }\n    this.columns += 1;\n    return this;\n  }\n}\n\ninstallMathOperations(AbstractMatrix, Matrix);\n","import { newArray } from './util';\n\nexport function sumByRow(matrix) {\n  let sum = newArray(matrix.rows);\n  for (let i = 0; i < matrix.rows; ++i) {\n    for (let j = 0; j < matrix.columns; ++j) {\n      sum[i] += matrix.get(i, j);\n    }\n  }\n  return sum;\n}\n\nexport function sumByColumn(matrix) {\n  let sum = newArray(matrix.columns);\n  for (let i = 0; i < matrix.rows; ++i) {\n    for (let j = 0; j < matrix.columns; ++j) {\n      sum[j] += matrix.get(i, j);\n    }\n  }\n  return sum;\n}\n\nexport function sumAll(matrix) {\n  let v = 0;\n  for (let i = 0; i < matrix.rows; i++) {\n    for (let j = 0; j < matrix.columns; j++) {\n      v += matrix.get(i, j);\n    }\n  }\n  return v;\n}\n\nexport function productByRow(matrix) {\n  let sum = newArray(matrix.rows, 1);\n  for (let i = 0; i < matrix.rows; ++i) {\n    for (let j = 0; j < matrix.columns; ++j) {\n      sum[i] *= matrix.get(i, j);\n    }\n  }\n  return sum;\n}\n\nexport function productByColumn(matrix) {\n  let sum = newArray(matrix.columns, 1);\n  for (let i = 0; i < matrix.rows; ++i) {\n    for (let j = 0; j < matrix.columns; ++j) {\n      sum[j] *= matrix.get(i, j);\n    }\n  }\n  return sum;\n}\n\nexport function productAll(matrix) {\n  let v = 1;\n  for (let i = 0; i < matrix.rows; i++) {\n    for (let j = 0; j < matrix.columns; j++) {\n      v *= matrix.get(i, j);\n    }\n  }\n  return v;\n}\n\nexport function varianceByRow(matrix, unbiased, mean) {\n  const rows = matrix.rows;\n  const cols = matrix.columns;\n  const variance = [];\n\n  for (let i = 0; i < rows; i++) {\n    let sum1 = 0;\n    let sum2 = 0;\n    let x = 0;\n    for (let j = 0; j < cols; j++) {\n      x = matrix.get(i, j) - mean[i];\n      sum1 += x;\n      sum2 += x * x;\n    }\n    if (unbiased) {\n      variance.push((sum2 - (sum1 * sum1) / cols) / (cols - 1));\n    } else {\n      variance.push((sum2 - (sum1 * sum1) / cols) / cols);\n    }\n  }\n  return variance;\n}\n\nexport function varianceByColumn(matrix, unbiased, mean) {\n  const rows = matrix.rows;\n  const cols = matrix.columns;\n  const variance = [];\n\n  for (let j = 0; j < cols; j++) {\n    let sum1 = 0;\n    let sum2 = 0;\n    let x = 0;\n    for (let i = 0; i < rows; i++) {\n      x = matrix.get(i, j) - mean[j];\n      sum1 += x;\n      sum2 += x * x;\n    }\n    if (unbiased) {\n      variance.push((sum2 - (sum1 * sum1) / rows) / (rows - 1));\n    } else {\n      variance.push((sum2 - (sum1 * sum1) / rows) / rows);\n    }\n  }\n  return variance;\n}\n\nexport function varianceAll(matrix, unbiased, mean) {\n  const rows = matrix.rows;\n  const cols = matrix.columns;\n  const size = rows * cols;\n\n  let sum1 = 0;\n  let sum2 = 0;\n  let x = 0;\n  for (let i = 0; i < rows; i++) {\n    for (let j = 0; j < cols; j++) {\n      x = matrix.get(i, j) - mean;\n      sum1 += x;\n      sum2 += x * x;\n    }\n  }\n  if (unbiased) {\n    return (sum2 - (sum1 * sum1) / size) / (size - 1);\n  } else {\n    return (sum2 - (sum1 * sum1) / size) / size;\n  }\n}\n\nexport function centerByRow(matrix, mean) {\n  for (let i = 0; i < matrix.rows; i++) {\n    for (let j = 0; j < matrix.columns; j++) {\n      matrix.set(i, j, matrix.get(i, j) - mean[i]);\n    }\n  }\n}\n\nexport function centerByColumn(matrix, mean) {\n  for (let i = 0; i < matrix.rows; i++) {\n    for (let j = 0; j < matrix.columns; j++) {\n      matrix.set(i, j, matrix.get(i, j) - mean[j]);\n    }\n  }\n}\n\nexport function centerAll(matrix, mean) {\n  for (let i = 0; i < matrix.rows; i++) {\n    for (let j = 0; j < matrix.columns; j++) {\n      matrix.set(i, j, matrix.get(i, j) - mean);\n    }\n  }\n}\n\nexport function getScaleByRow(matrix) {\n  const scale = [];\n  for (let i = 0; i < matrix.rows; i++) {\n    let sum = 0;\n    for (let j = 0; j < matrix.columns; j++) {\n      sum += Math.pow(matrix.get(i, j), 2) / (matrix.columns - 1);\n    }\n    scale.push(Math.sqrt(sum));\n  }\n  return scale;\n}\n\nexport function scaleByRow(matrix, scale) {\n  for (let i = 0; i < matrix.rows; i++) {\n    for (let j = 0; j < matrix.columns; j++) {\n      matrix.set(i, j, matrix.get(i, j) / scale[i]);\n    }\n  }\n}\n\nexport function getScaleByColumn(matrix) {\n  const scale = [];\n  for (let j = 0; j < matrix.columns; j++) {\n    let sum = 0;\n    for (let i = 0; i < matrix.rows; i++) {\n      sum += Math.pow(matrix.get(i, j), 2) / (matrix.rows - 1);\n    }\n    scale.push(Math.sqrt(sum));\n  }\n  return scale;\n}\n\nexport function scaleByColumn(matrix, scale) {\n  for (let i = 0; i < matrix.rows; i++) {\n    for (let j = 0; j < matrix.columns; j++) {\n      matrix.set(i, j, matrix.get(i, j) / scale[j]);\n    }\n  }\n}\n\nexport function getScaleAll(matrix) {\n  const divider = matrix.size - 1;\n  let sum = 0;\n  for (let j = 0; j < matrix.columns; j++) {\n    for (let i = 0; i < matrix.rows; i++) {\n      sum += Math.pow(matrix.get(i, j), 2) / divider;\n    }\n  }\n  return Math.sqrt(sum);\n}\n\nexport function scaleAll(matrix, scale) {\n  for (let i = 0; i < matrix.rows; i++) {\n    for (let j = 0; j < matrix.columns; j++) {\n      matrix.set(i, j, matrix.get(i, j) / scale);\n    }\n  }\n}\n","export function installMathOperations(AbstractMatrix, Matrix) {\n  AbstractMatrix.prototype.add = function add(value) {\n    if (typeof value === 'number') return this.addS(value);\n    return this.addM(value);\n  };\n\n  AbstractMatrix.prototype.addS = function addS(value) {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) + value);\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.prototype.addM = function addM(matrix) {\n    matrix = Matrix.checkMatrix(matrix);\n    if (this.rows !== matrix.rows ||\n      this.columns !== matrix.columns) {\n      throw new RangeError('Matrices dimensions must be equal');\n    }\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) + matrix.get(i, j));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.add = function add(matrix, value) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.add(value);\n  };\n\n  AbstractMatrix.prototype.sub = function sub(value) {\n    if (typeof value === 'number') return this.subS(value);\n    return this.subM(value);\n  };\n\n  AbstractMatrix.prototype.subS = function subS(value) {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) - value);\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.prototype.subM = function subM(matrix) {\n    matrix = Matrix.checkMatrix(matrix);\n    if (this.rows !== matrix.rows ||\n      this.columns !== matrix.columns) {\n      throw new RangeError('Matrices dimensions must be equal');\n    }\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) - matrix.get(i, j));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.sub = function sub(matrix, value) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.sub(value);\n  };\n  AbstractMatrix.prototype.subtract = AbstractMatrix.prototype.sub;\n  AbstractMatrix.prototype.subtractS = AbstractMatrix.prototype.subS;\n  AbstractMatrix.prototype.subtractM = AbstractMatrix.prototype.subM;\n  AbstractMatrix.subtract = AbstractMatrix.sub;\n\n  AbstractMatrix.prototype.mul = function mul(value) {\n    if (typeof value === 'number') return this.mulS(value);\n    return this.mulM(value);\n  };\n\n  AbstractMatrix.prototype.mulS = function mulS(value) {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) * value);\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.prototype.mulM = function mulM(matrix) {\n    matrix = Matrix.checkMatrix(matrix);\n    if (this.rows !== matrix.rows ||\n      this.columns !== matrix.columns) {\n      throw new RangeError('Matrices dimensions must be equal');\n    }\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) * matrix.get(i, j));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.mul = function mul(matrix, value) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.mul(value);\n  };\n  AbstractMatrix.prototype.multiply = AbstractMatrix.prototype.mul;\n  AbstractMatrix.prototype.multiplyS = AbstractMatrix.prototype.mulS;\n  AbstractMatrix.prototype.multiplyM = AbstractMatrix.prototype.mulM;\n  AbstractMatrix.multiply = AbstractMatrix.mul;\n\n  AbstractMatrix.prototype.div = function div(value) {\n    if (typeof value === 'number') return this.divS(value);\n    return this.divM(value);\n  };\n\n  AbstractMatrix.prototype.divS = function divS(value) {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) / value);\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.prototype.divM = function divM(matrix) {\n    matrix = Matrix.checkMatrix(matrix);\n    if (this.rows !== matrix.rows ||\n      this.columns !== matrix.columns) {\n      throw new RangeError('Matrices dimensions must be equal');\n    }\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) / matrix.get(i, j));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.div = function div(matrix, value) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.div(value);\n  };\n  AbstractMatrix.prototype.divide = AbstractMatrix.prototype.div;\n  AbstractMatrix.prototype.divideS = AbstractMatrix.prototype.divS;\n  AbstractMatrix.prototype.divideM = AbstractMatrix.prototype.divM;\n  AbstractMatrix.divide = AbstractMatrix.div;\n\n  AbstractMatrix.prototype.mod = function mod(value) {\n    if (typeof value === 'number') return this.modS(value);\n    return this.modM(value);\n  };\n\n  AbstractMatrix.prototype.modS = function modS(value) {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) % value);\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.prototype.modM = function modM(matrix) {\n    matrix = Matrix.checkMatrix(matrix);\n    if (this.rows !== matrix.rows ||\n      this.columns !== matrix.columns) {\n      throw new RangeError('Matrices dimensions must be equal');\n    }\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) % matrix.get(i, j));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.mod = function mod(matrix, value) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.mod(value);\n  };\n  AbstractMatrix.prototype.modulus = AbstractMatrix.prototype.mod;\n  AbstractMatrix.prototype.modulusS = AbstractMatrix.prototype.modS;\n  AbstractMatrix.prototype.modulusM = AbstractMatrix.prototype.modM;\n  AbstractMatrix.modulus = AbstractMatrix.mod;\n\n  AbstractMatrix.prototype.and = function and(value) {\n    if (typeof value === 'number') return this.andS(value);\n    return this.andM(value);\n  };\n\n  AbstractMatrix.prototype.andS = function andS(value) {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) & value);\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.prototype.andM = function andM(matrix) {\n    matrix = Matrix.checkMatrix(matrix);\n    if (this.rows !== matrix.rows ||\n      this.columns !== matrix.columns) {\n      throw new RangeError('Matrices dimensions must be equal');\n    }\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) & matrix.get(i, j));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.and = function and(matrix, value) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.and(value);\n  };\n\n  AbstractMatrix.prototype.or = function or(value) {\n    if (typeof value === 'number') return this.orS(value);\n    return this.orM(value);\n  };\n\n  AbstractMatrix.prototype.orS = function orS(value) {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) | value);\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.prototype.orM = function orM(matrix) {\n    matrix = Matrix.checkMatrix(matrix);\n    if (this.rows !== matrix.rows ||\n      this.columns !== matrix.columns) {\n      throw new RangeError('Matrices dimensions must be equal');\n    }\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) | matrix.get(i, j));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.or = function or(matrix, value) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.or(value);\n  };\n\n  AbstractMatrix.prototype.xor = function xor(value) {\n    if (typeof value === 'number') return this.xorS(value);\n    return this.xorM(value);\n  };\n\n  AbstractMatrix.prototype.xorS = function xorS(value) {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) ^ value);\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.prototype.xorM = function xorM(matrix) {\n    matrix = Matrix.checkMatrix(matrix);\n    if (this.rows !== matrix.rows ||\n      this.columns !== matrix.columns) {\n      throw new RangeError('Matrices dimensions must be equal');\n    }\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) ^ matrix.get(i, j));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.xor = function xor(matrix, value) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.xor(value);\n  };\n\n  AbstractMatrix.prototype.leftShift = function leftShift(value) {\n    if (typeof value === 'number') return this.leftShiftS(value);\n    return this.leftShiftM(value);\n  };\n\n  AbstractMatrix.prototype.leftShiftS = function leftShiftS(value) {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) << value);\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.prototype.leftShiftM = function leftShiftM(matrix) {\n    matrix = Matrix.checkMatrix(matrix);\n    if (this.rows !== matrix.rows ||\n      this.columns !== matrix.columns) {\n      throw new RangeError('Matrices dimensions must be equal');\n    }\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) << matrix.get(i, j));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.leftShift = function leftShift(matrix, value) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.leftShift(value);\n  };\n\n  AbstractMatrix.prototype.signPropagatingRightShift = function signPropagatingRightShift(value) {\n    if (typeof value === 'number') return this.signPropagatingRightShiftS(value);\n    return this.signPropagatingRightShiftM(value);\n  };\n\n  AbstractMatrix.prototype.signPropagatingRightShiftS = function signPropagatingRightShiftS(value) {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) >> value);\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.prototype.signPropagatingRightShiftM = function signPropagatingRightShiftM(matrix) {\n    matrix = Matrix.checkMatrix(matrix);\n    if (this.rows !== matrix.rows ||\n      this.columns !== matrix.columns) {\n      throw new RangeError('Matrices dimensions must be equal');\n    }\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) >> matrix.get(i, j));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.signPropagatingRightShift = function signPropagatingRightShift(matrix, value) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.signPropagatingRightShift(value);\n  };\n\n  AbstractMatrix.prototype.rightShift = function rightShift(value) {\n    if (typeof value === 'number') return this.rightShiftS(value);\n    return this.rightShiftM(value);\n  };\n\n  AbstractMatrix.prototype.rightShiftS = function rightShiftS(value) {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) >>> value);\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.prototype.rightShiftM = function rightShiftM(matrix) {\n    matrix = Matrix.checkMatrix(matrix);\n    if (this.rows !== matrix.rows ||\n      this.columns !== matrix.columns) {\n      throw new RangeError('Matrices dimensions must be equal');\n    }\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, this.get(i, j) >>> matrix.get(i, j));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.rightShift = function rightShift(matrix, value) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.rightShift(value);\n  };\n  AbstractMatrix.prototype.zeroFillRightShift = AbstractMatrix.prototype.rightShift;\n  AbstractMatrix.prototype.zeroFillRightShiftS = AbstractMatrix.prototype.rightShiftS;\n  AbstractMatrix.prototype.zeroFillRightShiftM = AbstractMatrix.prototype.rightShiftM;\n  AbstractMatrix.zeroFillRightShift = AbstractMatrix.rightShift;\n\n  AbstractMatrix.prototype.not = function not() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, ~(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.not = function not(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.not();\n  };\n\n  AbstractMatrix.prototype.abs = function abs() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.abs(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.abs = function abs(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.abs();\n  };\n\n  AbstractMatrix.prototype.acos = function acos() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.acos(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.acos = function acos(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.acos();\n  };\n\n  AbstractMatrix.prototype.acosh = function acosh() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.acosh(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.acosh = function acosh(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.acosh();\n  };\n\n  AbstractMatrix.prototype.asin = function asin() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.asin(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.asin = function asin(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.asin();\n  };\n\n  AbstractMatrix.prototype.asinh = function asinh() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.asinh(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.asinh = function asinh(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.asinh();\n  };\n\n  AbstractMatrix.prototype.atan = function atan() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.atan(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.atan = function atan(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.atan();\n  };\n\n  AbstractMatrix.prototype.atanh = function atanh() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.atanh(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.atanh = function atanh(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.atanh();\n  };\n\n  AbstractMatrix.prototype.cbrt = function cbrt() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.cbrt(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.cbrt = function cbrt(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.cbrt();\n  };\n\n  AbstractMatrix.prototype.ceil = function ceil() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.ceil(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.ceil = function ceil(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.ceil();\n  };\n\n  AbstractMatrix.prototype.clz32 = function clz32() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.clz32(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.clz32 = function clz32(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.clz32();\n  };\n\n  AbstractMatrix.prototype.cos = function cos() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.cos(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.cos = function cos(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.cos();\n  };\n\n  AbstractMatrix.prototype.cosh = function cosh() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.cosh(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.cosh = function cosh(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.cosh();\n  };\n\n  AbstractMatrix.prototype.exp = function exp() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.exp(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.exp = function exp(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.exp();\n  };\n\n  AbstractMatrix.prototype.expm1 = function expm1() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.expm1(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.expm1 = function expm1(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.expm1();\n  };\n\n  AbstractMatrix.prototype.floor = function floor() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.floor(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.floor = function floor(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.floor();\n  };\n\n  AbstractMatrix.prototype.fround = function fround() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.fround(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.fround = function fround(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.fround();\n  };\n\n  AbstractMatrix.prototype.log = function log() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.log(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.log = function log(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.log();\n  };\n\n  AbstractMatrix.prototype.log1p = function log1p() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.log1p(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.log1p = function log1p(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.log1p();\n  };\n\n  AbstractMatrix.prototype.log10 = function log10() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.log10(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.log10 = function log10(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.log10();\n  };\n\n  AbstractMatrix.prototype.log2 = function log2() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.log2(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.log2 = function log2(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.log2();\n  };\n\n  AbstractMatrix.prototype.round = function round() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.round(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.round = function round(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.round();\n  };\n\n  AbstractMatrix.prototype.sign = function sign() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.sign(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.sign = function sign(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.sign();\n  };\n\n  AbstractMatrix.prototype.sin = function sin() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.sin(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.sin = function sin(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.sin();\n  };\n\n  AbstractMatrix.prototype.sinh = function sinh() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.sinh(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.sinh = function sinh(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.sinh();\n  };\n\n  AbstractMatrix.prototype.sqrt = function sqrt() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.sqrt(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.sqrt = function sqrt(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.sqrt();\n  };\n\n  AbstractMatrix.prototype.tan = function tan() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.tan(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.tan = function tan(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.tan();\n  };\n\n  AbstractMatrix.prototype.tanh = function tanh() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.tanh(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.tanh = function tanh(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.tanh();\n  };\n\n  AbstractMatrix.prototype.trunc = function trunc() {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.trunc(this.get(i, j)));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.trunc = function trunc(matrix) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.trunc();\n  };\n\n  AbstractMatrix.pow = function pow(matrix, arg0) {\n    const newMatrix = new Matrix(matrix);\n    return newMatrix.pow(arg0);\n  };\n\n  AbstractMatrix.prototype.pow = function pow(value) {\n    if (typeof value === 'number') return this.powS(value);\n    return this.powM(value);\n  };\n\n  AbstractMatrix.prototype.powS = function powS(value) {\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.pow(this.get(i, j), value));\n      }\n    }\n    return this;\n  };\n\n  AbstractMatrix.prototype.powM = function powM(matrix) {\n    matrix = Matrix.checkMatrix(matrix);\n    if (this.rows !== matrix.rows ||\n      this.columns !== matrix.columns) {\n      throw new RangeError('Matrices dimensions must be equal');\n    }\n    for (let i = 0; i < this.rows; i++) {\n      for (let j = 0; j < this.columns; j++) {\n        this.set(i, j, Math.pow(this.get(i, j), matrix.get(i, j)));\n      }\n    }\n    return this;\n  };\n}\n","import { AbstractMatrix } from '../matrix';\n\nexport default class WrapperMatrix2D extends AbstractMatrix {\n  constructor(data) {\n    super();\n    this.data = data;\n    this.rows = data.length;\n    this.columns = data[0].length;\n  }\n\n  set(rowIndex, columnIndex, value) {\n    this.data[rowIndex][columnIndex] = value;\n    return this;\n  }\n\n  get(rowIndex, columnIndex) {\n    return this.data[rowIndex][columnIndex];\n  }\n}\n","import Matrix from '../matrix';\nimport WrapperMatrix2D from '../wrap/WrapperMatrix2D';\n\nexport default class LuDecomposition {\n  constructor(matrix) {\n    matrix = WrapperMatrix2D.checkMatrix(matrix);\n\n    let lu = matrix.clone();\n    let rows = lu.rows;\n    let columns = lu.columns;\n    let pivotVector = new Float64Array(rows);\n    let pivotSign = 1;\n    let i, j, k, p, s, t, v;\n    let LUcolj, kmax;\n\n    for (i = 0; i < rows; i++) {\n      pivotVector[i] = i;\n    }\n\n    LUcolj = new Float64Array(rows);\n\n    for (j = 0; j < columns; j++) {\n      for (i = 0; i < rows; i++) {\n        LUcolj[i] = lu.get(i, j);\n      }\n\n      for (i = 0; i < rows; i++) {\n        kmax = Math.min(i, j);\n        s = 0;\n        for (k = 0; k < kmax; k++) {\n          s += lu.get(i, k) * LUcolj[k];\n        }\n        LUcolj[i] -= s;\n        lu.set(i, j, LUcolj[i]);\n      }\n\n      p = j;\n      for (i = j + 1; i < rows; i++) {\n        if (Math.abs(LUcolj[i]) > Math.abs(LUcolj[p])) {\n          p = i;\n        }\n      }\n\n      if (p !== j) {\n        for (k = 0; k < columns; k++) {\n          t = lu.get(p, k);\n          lu.set(p, k, lu.get(j, k));\n          lu.set(j, k, t);\n        }\n\n        v = pivotVector[p];\n        pivotVector[p] = pivotVector[j];\n        pivotVector[j] = v;\n\n        pivotSign = -pivotSign;\n      }\n\n      if (j < rows && lu.get(j, j) !== 0) {\n        for (i = j + 1; i < rows; i++) {\n          lu.set(i, j, lu.get(i, j) / lu.get(j, j));\n        }\n      }\n    }\n\n    this.LU = lu;\n    this.pivotVector = pivotVector;\n    this.pivotSign = pivotSign;\n  }\n\n  isSingular() {\n    let data = this.LU;\n    let col = data.columns;\n    for (let j = 0; j < col; j++) {\n      if (data.get(j, j) === 0) {\n        return true;\n      }\n    }\n    return false;\n  }\n\n  solve(value) {\n    value = Matrix.checkMatrix(value);\n\n    let lu = this.LU;\n    let rows = lu.rows;\n\n    if (rows !== value.rows) {\n      throw new Error('Invalid matrix dimensions');\n    }\n    if (this.isSingular()) {\n      throw new Error('LU matrix is singular');\n    }\n\n    let count = value.columns;\n    let X = value.subMatrixRow(this.pivotVector, 0, count - 1);\n    let columns = lu.columns;\n    let i, j, k;\n\n    for (k = 0; k < columns; k++) {\n      for (i = k + 1; i < columns; i++) {\n        for (j = 0; j < count; j++) {\n          X.set(i, j, X.get(i, j) - X.get(k, j) * lu.get(i, k));\n        }\n      }\n    }\n    for (k = columns - 1; k >= 0; k--) {\n      for (j = 0; j < count; j++) {\n        X.set(k, j, X.get(k, j) / lu.get(k, k));\n      }\n      for (i = 0; i < k; i++) {\n        for (j = 0; j < count; j++) {\n          X.set(i, j, X.get(i, j) - X.get(k, j) * lu.get(i, k));\n        }\n      }\n    }\n    return X;\n  }\n\n  get determinant() {\n    let data = this.LU;\n    if (!data.isSquare()) {\n      throw new Error('Matrix must be square');\n    }\n    let determinant = this.pivotSign;\n    let col = data.columns;\n    for (let j = 0; j < col; j++) {\n      determinant *= data.get(j, j);\n    }\n    return determinant;\n  }\n\n  get lowerTriangularMatrix() {\n    let data = this.LU;\n    let rows = data.rows;\n    let columns = data.columns;\n    let X = new Matrix(rows, columns);\n    for (let i = 0; i < rows; i++) {\n      for (let j = 0; j < columns; j++) {\n        if (i > j) {\n          X.set(i, j, data.get(i, j));\n        } else if (i === j) {\n          X.set(i, j, 1);\n        } else {\n          X.set(i, j, 0);\n        }\n      }\n    }\n    return X;\n  }\n\n  get upperTriangularMatrix() {\n    let data = this.LU;\n    let rows = data.rows;\n    let columns = data.columns;\n    let X = new Matrix(rows, columns);\n    for (let i = 0; i < rows; i++) {\n      for (let j = 0; j < columns; j++) {\n        if (i <= j) {\n          X.set(i, j, data.get(i, j));\n        } else {\n          X.set(i, j, 0);\n        }\n      }\n    }\n    return X;\n  }\n\n  get pivotPermutationVector() {\n    return Array.from(this.pivotVector);\n  }\n}\n","export function hypotenuse(a, b) {\n  let r = 0;\n  if (Math.abs(a) > Math.abs(b)) {\n    r = b / a;\n    return Math.abs(a) * Math.sqrt(1 + r * r);\n  }\n  if (b !== 0) {\n    r = a / b;\n    return Math.abs(b) * Math.sqrt(1 + r * r);\n  }\n  return 0;\n}\n","import Matrix from '../matrix';\nimport WrapperMatrix2D from '../wrap/WrapperMatrix2D';\n\nimport { hypotenuse } from './util';\n\nexport default class QrDecomposition {\n  constructor(value) {\n    value = WrapperMatrix2D.checkMatrix(value);\n\n    let qr = value.clone();\n    let m = value.rows;\n    let n = value.columns;\n    let rdiag = new Float64Array(n);\n    let i, j, k, s;\n\n    for (k = 0; k < n; k++) {\n      let nrm = 0;\n      for (i = k; i < m; i++) {\n        nrm = hypotenuse(nrm, qr.get(i, k));\n      }\n      if (nrm !== 0) {\n        if (qr.get(k, k) < 0) {\n          nrm = -nrm;\n        }\n        for (i = k; i < m; i++) {\n          qr.set(i, k, qr.get(i, k) / nrm);\n        }\n        qr.set(k, k, qr.get(k, k) + 1);\n        for (j = k + 1; j < n; j++) {\n          s = 0;\n          for (i = k; i < m; i++) {\n            s += qr.get(i, k) * qr.get(i, j);\n          }\n          s = -s / qr.get(k, k);\n          for (i = k; i < m; i++) {\n            qr.set(i, j, qr.get(i, j) + s * qr.get(i, k));\n          }\n        }\n      }\n      rdiag[k] = -nrm;\n    }\n\n    this.QR = qr;\n    this.Rdiag = rdiag;\n  }\n\n  solve(value) {\n    value = Matrix.checkMatrix(value);\n\n    let qr = this.QR;\n    let m = qr.rows;\n\n    if (value.rows !== m) {\n      throw new Error('Matrix row dimensions must agree');\n    }\n    if (!this.isFullRank()) {\n      throw new Error('Matrix is rank deficient');\n    }\n\n    let count = value.columns;\n    let X = value.clone();\n    let n = qr.columns;\n    let i, j, k, s;\n\n    for (k = 0; k < n; k++) {\n      for (j = 0; j < count; j++) {\n        s = 0;\n        for (i = k; i < m; i++) {\n          s += qr.get(i, k) * X.get(i, j);\n        }\n        s = -s / qr.get(k, k);\n        for (i = k; i < m; i++) {\n          X.set(i, j, X.get(i, j) + s * qr.get(i, k));\n        }\n      }\n    }\n    for (k = n - 1; k >= 0; k--) {\n      for (j = 0; j < count; j++) {\n        X.set(k, j, X.get(k, j) / this.Rdiag[k]);\n      }\n      for (i = 0; i < k; i++) {\n        for (j = 0; j < count; j++) {\n          X.set(i, j, X.get(i, j) - X.get(k, j) * qr.get(i, k));\n        }\n      }\n    }\n\n    return X.subMatrix(0, n - 1, 0, count - 1);\n  }\n\n  isFullRank() {\n    let columns = this.QR.columns;\n    for (let i = 0; i < columns; i++) {\n      if (this.Rdiag[i] === 0) {\n        return false;\n      }\n    }\n    return true;\n  }\n\n  get upperTriangularMatrix() {\n    let qr = this.QR;\n    let n = qr.columns;\n    let X = new Matrix(n, n);\n    let i, j;\n    for (i = 0; i < n; i++) {\n      for (j = 0; j < n; j++) {\n        if (i < j) {\n          X.set(i, j, qr.get(i, j));\n        } else if (i === j) {\n          X.set(i, j, this.Rdiag[i]);\n        } else {\n          X.set(i, j, 0);\n        }\n      }\n    }\n    return X;\n  }\n\n  get orthogonalMatrix() {\n    let qr = this.QR;\n    let rows = qr.rows;\n    let columns = qr.columns;\n    let X = new Matrix(rows, columns);\n    let i, j, k, s;\n\n    for (k = columns - 1; k >= 0; k--) {\n      for (i = 0; i < rows; i++) {\n        X.set(i, k, 0);\n      }\n      X.set(k, k, 1);\n      for (j = k; j < columns; j++) {\n        if (qr.get(k, k) !== 0) {\n          s = 0;\n          for (i = k; i < rows; i++) {\n            s += qr.get(i, k) * X.get(i, j);\n          }\n\n          s = -s / qr.get(k, k);\n\n          for (i = k; i < rows; i++) {\n            X.set(i, j, X.get(i, j) + s * qr.get(i, k));\n          }\n        }\n      }\n    }\n    return X;\n  }\n}\n","import Matrix from '../matrix';\nimport WrapperMatrix2D from '../wrap/WrapperMatrix2D';\n\nimport { hypotenuse } from './util';\n\nexport default class SingularValueDecomposition {\n  constructor(value, options = {}) {\n    value = WrapperMatrix2D.checkMatrix(value);\n\n    if (value.isEmpty()) {\n      throw new Error('Matrix must be non-empty');\n    }\n\n    let m = value.rows;\n    let n = value.columns;\n\n    const {\n      computeLeftSingularVectors = true,\n      computeRightSingularVectors = true,\n      autoTranspose = false,\n    } = options;\n\n    let wantu = Boolean(computeLeftSingularVectors);\n    let wantv = Boolean(computeRightSingularVectors);\n\n    let swapped = false;\n    let a;\n    if (m < n) {\n      if (!autoTranspose) {\n        a = value.clone();\n        // eslint-disable-next-line no-console\n        console.warn(\n          'Computing SVD on a matrix with more columns than rows. Consider enabling autoTranspose',\n        );\n      } else {\n        a = value.transpose();\n        m = a.rows;\n        n = a.columns;\n        swapped = true;\n        let aux = wantu;\n        wantu = wantv;\n        wantv = aux;\n      }\n    } else {\n      a = value.clone();\n    }\n\n    let nu = Math.min(m, n);\n    let ni = Math.min(m + 1, n);\n    let s = new Float64Array(ni);\n    let U = new Matrix(m, nu);\n    let V = new Matrix(n, n);\n\n    let e = new Float64Array(n);\n    let work = new Float64Array(m);\n\n    let si = new Float64Array(ni);\n    for (let i = 0; i < ni; i++) si[i] = i;\n\n    let nct = Math.min(m - 1, n);\n    let nrt = Math.max(0, Math.min(n - 2, m));\n    let mrc = Math.max(nct, nrt);\n\n    for (let k = 0; k < mrc; k++) {\n      if (k < nct) {\n        s[k] = 0;\n        for (let i = k; i < m; i++) {\n          s[k] = hypotenuse(s[k], a.get(i, k));\n        }\n        if (s[k] !== 0) {\n          if (a.get(k, k) < 0) {\n            s[k] = -s[k];\n          }\n          for (let i = k; i < m; i++) {\n            a.set(i, k, a.get(i, k) / s[k]);\n          }\n          a.set(k, k, a.get(k, k) + 1);\n        }\n        s[k] = -s[k];\n      }\n\n      for (let j = k + 1; j < n; j++) {\n        if (k < nct && s[k] !== 0) {\n          let t = 0;\n          for (let i = k; i < m; i++) {\n            t += a.get(i, k) * a.get(i, j);\n          }\n          t = -t / a.get(k, k);\n          for (let i = k; i < m; i++) {\n            a.set(i, j, a.get(i, j) + t * a.get(i, k));\n          }\n        }\n        e[j] = a.get(k, j);\n      }\n\n      if (wantu && k < nct) {\n        for (let i = k; i < m; i++) {\n          U.set(i, k, a.get(i, k));\n        }\n      }\n\n      if (k < nrt) {\n        e[k] = 0;\n        for (let i = k + 1; i < n; i++) {\n          e[k] = hypotenuse(e[k], e[i]);\n        }\n        if (e[k] !== 0) {\n          if (e[k + 1] < 0) {\n            e[k] = 0 - e[k];\n          }\n          for (let i = k + 1; i < n; i++) {\n            e[i] /= e[k];\n          }\n          e[k + 1] += 1;\n        }\n        e[k] = -e[k];\n        if (k + 1 < m && e[k] !== 0) {\n          for (let i = k + 1; i < m; i++) {\n            work[i] = 0;\n          }\n          for (let i = k + 1; i < m; i++) {\n            for (let j = k + 1; j < n; j++) {\n              work[i] += e[j] * a.get(i, j);\n            }\n          }\n          for (let j = k + 1; j < n; j++) {\n            let t = -e[j] / e[k + 1];\n            for (let i = k + 1; i < m; i++) {\n              a.set(i, j, a.get(i, j) + t * work[i]);\n            }\n          }\n        }\n        if (wantv) {\n          for (let i = k + 1; i < n; i++) {\n            V.set(i, k, e[i]);\n          }\n        }\n      }\n    }\n\n    let p = Math.min(n, m + 1);\n    if (nct < n) {\n      s[nct] = a.get(nct, nct);\n    }\n    if (m < p) {\n      s[p - 1] = 0;\n    }\n    if (nrt + 1 < p) {\n      e[nrt] = a.get(nrt, p - 1);\n    }\n    e[p - 1] = 0;\n\n    if (wantu) {\n      for (let j = nct; j < nu; j++) {\n        for (let i = 0; i < m; i++) {\n          U.set(i, j, 0);\n        }\n        U.set(j, j, 1);\n      }\n      for (let k = nct - 1; k >= 0; k--) {\n        if (s[k] !== 0) {\n          for (let j = k + 1; j < nu; j++) {\n            let t = 0;\n            for (let i = k; i < m; i++) {\n              t += U.get(i, k) * U.get(i, j);\n            }\n            t = -t / U.get(k, k);\n            for (let i = k; i < m; i++) {\n              U.set(i, j, U.get(i, j) + t * U.get(i, k));\n            }\n          }\n          for (let i = k; i < m; i++) {\n            U.set(i, k, -U.get(i, k));\n          }\n          U.set(k, k, 1 + U.get(k, k));\n          for (let i = 0; i < k - 1; i++) {\n            U.set(i, k, 0);\n          }\n        } else {\n          for (let i = 0; i < m; i++) {\n            U.set(i, k, 0);\n          }\n          U.set(k, k, 1);\n        }\n      }\n    }\n\n    if (wantv) {\n      for (let k = n - 1; k >= 0; k--) {\n        if (k < nrt && e[k] !== 0) {\n          for (let j = k + 1; j < n; j++) {\n            let t = 0;\n            for (let i = k + 1; i < n; i++) {\n              t += V.get(i, k) * V.get(i, j);\n            }\n            t = -t / V.get(k + 1, k);\n            for (let i = k + 1; i < n; i++) {\n              V.set(i, j, V.get(i, j) + t * V.get(i, k));\n            }\n          }\n        }\n        for (let i = 0; i < n; i++) {\n          V.set(i, k, 0);\n        }\n        V.set(k, k, 1);\n      }\n    }\n\n    let pp = p - 1;\n    let iter = 0;\n    let eps = Number.EPSILON;\n    while (p > 0) {\n      let k, kase;\n      for (k = p - 2; k >= -1; k--) {\n        if (k === -1) {\n          break;\n        }\n        const alpha =\n          Number.MIN_VALUE + eps * Math.abs(s[k] + Math.abs(s[k + 1]));\n        if (Math.abs(e[k]) <= alpha || Number.isNaN(e[k])) {\n          e[k] = 0;\n          break;\n        }\n      }\n      if (k === p - 2) {\n        kase = 4;\n      } else {\n        let ks;\n        for (ks = p - 1; ks >= k; ks--) {\n          if (ks === k) {\n            break;\n          }\n          let t =\n            (ks !== p ? Math.abs(e[ks]) : 0) +\n            (ks !== k + 1 ? Math.abs(e[ks - 1]) : 0);\n          if (Math.abs(s[ks]) <= eps * t) {\n            s[ks] = 0;\n            break;\n          }\n        }\n        if (ks === k) {\n          kase = 3;\n        } else if (ks === p - 1) {\n          kase = 1;\n        } else {\n          kase = 2;\n          k = ks;\n        }\n      }\n\n      k++;\n\n      switch (kase) {\n        case 1: {\n          let f = e[p - 2];\n          e[p - 2] = 0;\n          for (let j = p - 2; j >= k; j--) {\n            let t = hypotenuse(s[j], f);\n            let cs = s[j] / t;\n            let sn = f / t;\n            s[j] = t;\n            if (j !== k) {\n              f = -sn * e[j - 1];\n              e[j - 1] = cs * e[j - 1];\n            }\n            if (wantv) {\n              for (let i = 0; i < n; i++) {\n                t = cs * V.get(i, j) + sn * V.get(i, p - 1);\n                V.set(i, p - 1, -sn * V.get(i, j) + cs * V.get(i, p - 1));\n                V.set(i, j, t);\n              }\n            }\n          }\n          break;\n        }\n        case 2: {\n          let f = e[k - 1];\n          e[k - 1] = 0;\n          for (let j = k; j < p; j++) {\n            let t = hypotenuse(s[j], f);\n            let cs = s[j] / t;\n            let sn = f / t;\n            s[j] = t;\n            f = -sn * e[j];\n            e[j] = cs * e[j];\n            if (wantu) {\n              for (let i = 0; i < m; i++) {\n                t = cs * U.get(i, j) + sn * U.get(i, k - 1);\n                U.set(i, k - 1, -sn * U.get(i, j) + cs * U.get(i, k - 1));\n                U.set(i, j, t);\n              }\n            }\n          }\n          break;\n        }\n        case 3: {\n          const scale = Math.max(\n            Math.abs(s[p - 1]),\n            Math.abs(s[p - 2]),\n            Math.abs(e[p - 2]),\n            Math.abs(s[k]),\n            Math.abs(e[k]),\n          );\n          const sp = s[p - 1] / scale;\n          const spm1 = s[p - 2] / scale;\n          const epm1 = e[p - 2] / scale;\n          const sk = s[k] / scale;\n          const ek = e[k] / scale;\n          const b = ((spm1 + sp) * (spm1 - sp) + epm1 * epm1) / 2;\n          const c = sp * epm1 * (sp * epm1);\n          let shift = 0;\n          if (b !== 0 || c !== 0) {\n            if (b < 0) {\n              shift = 0 - Math.sqrt(b * b + c);\n            } else {\n              shift = Math.sqrt(b * b + c);\n            }\n            shift = c / (b + shift);\n          }\n          let f = (sk + sp) * (sk - sp) + shift;\n          let g = sk * ek;\n          for (let j = k; j < p - 1; j++) {\n            let t = hypotenuse(f, g);\n            if (t === 0) t = Number.MIN_VALUE;\n            let cs = f / t;\n            let sn = g / t;\n            if (j !== k) {\n              e[j - 1] = t;\n            }\n            f = cs * s[j] + sn * e[j];\n            e[j] = cs * e[j] - sn * s[j];\n            g = sn * s[j + 1];\n            s[j + 1] = cs * s[j + 1];\n            if (wantv) {\n              for (let i = 0; i < n; i++) {\n                t = cs * V.get(i, j) + sn * V.get(i, j + 1);\n                V.set(i, j + 1, -sn * V.get(i, j) + cs * V.get(i, j + 1));\n                V.set(i, j, t);\n              }\n            }\n            t = hypotenuse(f, g);\n            if (t === 0) t = Number.MIN_VALUE;\n            cs = f / t;\n            sn = g / t;\n            s[j] = t;\n            f = cs * e[j] + sn * s[j + 1];\n            s[j + 1] = -sn * e[j] + cs * s[j + 1];\n            g = sn * e[j + 1];\n            e[j + 1] = cs * e[j + 1];\n            if (wantu && j < m - 1) {\n              for (let i = 0; i < m; i++) {\n                t = cs * U.get(i, j) + sn * U.get(i, j + 1);\n                U.set(i, j + 1, -sn * U.get(i, j) + cs * U.get(i, j + 1));\n                U.set(i, j, t);\n              }\n            }\n          }\n          e[p - 2] = f;\n          iter = iter + 1;\n          break;\n        }\n        case 4: {\n          if (s[k] <= 0) {\n            s[k] = s[k] < 0 ? -s[k] : 0;\n            if (wantv) {\n              for (let i = 0; i <= pp; i++) {\n                V.set(i, k, -V.get(i, k));\n              }\n            }\n          }\n          while (k < pp) {\n            if (s[k] >= s[k + 1]) {\n              break;\n            }\n            let t = s[k];\n            s[k] = s[k + 1];\n            s[k + 1] = t;\n            if (wantv && k < n - 1) {\n              for (let i = 0; i < n; i++) {\n                t = V.get(i, k + 1);\n                V.set(i, k + 1, V.get(i, k));\n                V.set(i, k, t);\n              }\n            }\n            if (wantu && k < m - 1) {\n              for (let i = 0; i < m; i++) {\n                t = U.get(i, k + 1);\n                U.set(i, k + 1, U.get(i, k));\n                U.set(i, k, t);\n              }\n            }\n            k++;\n          }\n          iter = 0;\n          p--;\n          break;\n        }\n        // no default\n      }\n    }\n\n    if (swapped) {\n      let tmp = V;\n      V = U;\n      U = tmp;\n    }\n\n    this.m = m;\n    this.n = n;\n    this.s = s;\n    this.U = U;\n    this.V = V;\n  }\n\n  solve(value) {\n    let Y = value;\n    let e = this.threshold;\n    let scols = this.s.length;\n    let Ls = Matrix.zeros(scols, scols);\n\n    for (let i = 0; i < scols; i++) {\n      if (Math.abs(this.s[i]) <= e) {\n        Ls.set(i, i, 0);\n      } else {\n        Ls.set(i, i, 1 / this.s[i]);\n      }\n    }\n\n    let U = this.U;\n    let V = this.rightSingularVectors;\n\n    let VL = V.mmul(Ls);\n    let vrows = V.rows;\n    let urows = U.rows;\n    let VLU = Matrix.zeros(vrows, urows);\n\n    for (let i = 0; i < vrows; i++) {\n      for (let j = 0; j < urows; j++) {\n        let sum = 0;\n        for (let k = 0; k < scols; k++) {\n          sum += VL.get(i, k) * U.get(j, k);\n        }\n        VLU.set(i, j, sum);\n      }\n    }\n\n    return VLU.mmul(Y);\n  }\n\n  solveForDiagonal(value) {\n    return this.solve(Matrix.diag(value));\n  }\n\n  inverse() {\n    let V = this.V;\n    let e = this.threshold;\n    let vrows = V.rows;\n    let vcols = V.columns;\n    let X = new Matrix(vrows, this.s.length);\n\n    for (let i = 0; i < vrows; i++) {\n      for (let j = 0; j < vcols; j++) {\n        if (Math.abs(this.s[j]) > e) {\n          X.set(i, j, V.get(i, j) / this.s[j]);\n        }\n      }\n    }\n\n    let U = this.U;\n\n    let urows = U.rows;\n    let ucols = U.columns;\n    let Y = new Matrix(vrows, urows);\n\n    for (let i = 0; i < vrows; i++) {\n      for (let j = 0; j < urows; j++) {\n        let sum = 0;\n        for (let k = 0; k < ucols; k++) {\n          sum += X.get(i, k) * U.get(j, k);\n        }\n        Y.set(i, j, sum);\n      }\n    }\n\n    return Y;\n  }\n\n  get condition() {\n    return this.s[0] / this.s[Math.min(this.m, this.n) - 1];\n  }\n\n  get norm2() {\n    return this.s[0];\n  }\n\n  get rank() {\n    let tol = Math.max(this.m, this.n) * this.s[0] * Number.EPSILON;\n    let r = 0;\n    let s = this.s;\n    for (let i = 0, ii = s.length; i < ii; i++) {\n      if (s[i] > tol) {\n        r++;\n      }\n    }\n    return r;\n  }\n\n  get diagonal() {\n    return Array.from(this.s);\n  }\n\n  get threshold() {\n    return (Number.EPSILON / 2) * Math.max(this.m, this.n) * this.s[0];\n  }\n\n  get leftSingularVectors() {\n    return this.U;\n  }\n\n  get rightSingularVectors() {\n    return this.V;\n  }\n\n  get diagonalMatrix() {\n    return Matrix.diag(this.s);\n  }\n}\n","import LuDecomposition from './dc/lu';\nimport QrDecomposition from './dc/qr';\nimport SingularValueDecomposition from './dc/svd';\nimport Matrix from './matrix';\nimport WrapperMatrix2D from './wrap/WrapperMatrix2D';\n\nexport function inverse(matrix, useSVD = false) {\n  matrix = WrapperMatrix2D.checkMatrix(matrix);\n  if (useSVD) {\n    return new SingularValueDecomposition(matrix).inverse();\n  } else {\n    return solve(matrix, Matrix.eye(matrix.rows));\n  }\n}\n\nexport function solve(leftHandSide, rightHandSide, useSVD = false) {\n  leftHandSide = WrapperMatrix2D.checkMatrix(leftHandSide);\n  rightHandSide = WrapperMatrix2D.checkMatrix(rightHandSide);\n  if (useSVD) {\n    return new SingularValueDecomposition(leftHandSide).solve(rightHandSide);\n  } else {\n    return leftHandSide.isSquare()\n      ? new LuDecomposition(leftHandSide).solve(rightHandSide)\n      : new QrDecomposition(leftHandSide).solve(rightHandSide);\n  }\n}\n","import Matrix from '../matrix';\nimport WrapperMatrix2D from '../wrap/WrapperMatrix2D';\n\nexport default class CholeskyDecomposition {\n  constructor(value) {\n    value = WrapperMatrix2D.checkMatrix(value);\n    if (!value.isSymmetric()) {\n      throw new Error('Matrix is not symmetric');\n    }\n\n    let a = value;\n    let dimension = a.rows;\n    let l = new Matrix(dimension, dimension);\n    let positiveDefinite = true;\n    let i, j, k;\n\n    for (j = 0; j < dimension; j++) {\n      let d = 0;\n      for (k = 0; k < j; k++) {\n        let s = 0;\n        for (i = 0; i < k; i++) {\n          s += l.get(k, i) * l.get(j, i);\n        }\n        s = (a.get(j, k) - s) / l.get(k, k);\n        l.set(j, k, s);\n        d = d + s * s;\n      }\n\n      d = a.get(j, j) - d;\n\n      positiveDefinite &= d > 0;\n      l.set(j, j, Math.sqrt(Math.max(d, 0)));\n      for (k = j + 1; k < dimension; k++) {\n        l.set(j, k, 0);\n      }\n    }\n\n    this.L = l;\n    this.positiveDefinite = Boolean(positiveDefinite);\n  }\n\n  isPositiveDefinite() {\n    return this.positiveDefinite;\n  }\n\n  solve(value) {\n    value = WrapperMatrix2D.checkMatrix(value);\n\n    let l = this.L;\n    let dimension = l.rows;\n\n    if (value.rows !== dimension) {\n      throw new Error('Matrix dimensions do not match');\n    }\n    if (this.isPositiveDefinite() === false) {\n      throw new Error('Matrix is not positive definite');\n    }\n\n    let count = value.columns;\n    let B = value.clone();\n    let i, j, k;\n\n    for (k = 0; k < dimension; k++) {\n      for (j = 0; j < count; j++) {\n        for (i = 0; i < k; i++) {\n          B.set(k, j, B.get(k, j) - B.get(i, j) * l.get(k, i));\n        }\n        B.set(k, j, B.get(k, j) / l.get(k, k));\n      }\n    }\n\n    for (k = dimension - 1; k >= 0; k--) {\n      for (j = 0; j < count; j++) {\n        for (i = k + 1; i < dimension; i++) {\n          B.set(k, j, B.get(k, j) - B.get(i, j) * l.get(i, k));\n        }\n        B.set(k, j, B.get(k, j) / l.get(k, k));\n      }\n    }\n\n    return B;\n  }\n\n  get lowerTriangularMatrix() {\n    return this.L;\n  }\n}\n","/**\n * Returns the closest index of a `target`\n *\n * @param array - array of numbers\n * @param target - target\n * @returns - closest index\n */\nexport function xFindClosestIndex(array, target, options = {}) {\n    const { sorted = true } = options;\n    if (sorted) {\n        let low = 0;\n        let high = array.length - 1;\n        let middle = 0;\n        while (high - low > 1) {\n            middle = low + ((high - low) >> 1);\n            if (array[middle] < target) {\n                low = middle;\n            }\n            else if (array[middle] > target) {\n                high = middle;\n            }\n            else {\n                return middle;\n            }\n        }\n        if (low < array.length - 1) {\n            if (Math.abs(target - array[low]) < Math.abs(array[low + 1] - target)) {\n                return low;\n            }\n            else {\n                return low + 1;\n            }\n        }\n        else {\n            return low;\n        }\n    }\n    else {\n        let index = 0;\n        let diff = Number.POSITIVE_INFINITY;\n        for (let i = 0; i < array.length; i++) {\n            const currentDiff = Math.abs(array[i] - target);\n            if (currentDiff < diff) {\n                diff = currentDiff;\n                index = i;\n            }\n        }\n        return index;\n    }\n}\n//# sourceMappingURL=xFindClosestIndex.js.map","import { xFindClosestIndex } from './xFindClosestIndex';\n/**\n * Returns an object with {fromIndex, toIndex} for a specific from / to\n *\n * @param x - array of numbers\n * @param options - Options\n */\nexport function xGetFromToIndex(x, options = {}) {\n    let { fromIndex, toIndex, from, to } = options;\n    if (fromIndex === undefined) {\n        if (from !== undefined) {\n            fromIndex = xFindClosestIndex(x, from);\n        }\n        else {\n            fromIndex = 0;\n        }\n    }\n    if (toIndex === undefined) {\n        if (to !== undefined) {\n            toIndex = xFindClosestIndex(x, to);\n        }\n        else {\n            toIndex = x.length - 1;\n        }\n    }\n    if (fromIndex < 0)\n        fromIndex = 0;\n    if (toIndex < 0)\n        toIndex = 0;\n    if (fromIndex >= x.length)\n        fromIndex = x.length - 1;\n    if (toIndex >= x.length)\n        toIndex = x.length - 1;\n    if (fromIndex > toIndex)\n        [fromIndex, toIndex] = [toIndex, fromIndex];\n    return { fromIndex, toIndex };\n}\n//# sourceMappingURL=xGetFromToIndex.js.map","import { xCheck } from './xCheck';\nimport { xGetFromToIndex } from './xGetFromToIndex';\n/**\n * Computes the maximal value of an array of values\n *\n * @param array - array of numbers\n * @param options - options\n */\nexport function xMaxValue(array, options = {}) {\n    xCheck(array);\n    const { fromIndex, toIndex } = xGetFromToIndex(array, options);\n    let maxValue = array[fromIndex];\n    for (let i = fromIndex + 1; i <= toIndex; i++) {\n        if (array[i] > maxValue) {\n            maxValue = array[i];\n        }\n    }\n    return maxValue;\n}\n//# sourceMappingURL=xMaxValue.js.map","import { xCheck } from './xCheck';\nimport { xGetFromToIndex } from './xGetFromToIndex';\n/**\n * Computes the minimal value of an array of values\n *\n * @param array - array of numbers\n * @param options - options\n */\nexport function xMinValue(array, options = {}) {\n    xCheck(array);\n    const { fromIndex, toIndex } = xGetFromToIndex(array, options);\n    let minValue = array[fromIndex];\n    for (let i = fromIndex + 1; i <= toIndex; i++) {\n        if (array[i] < minValue) {\n            minValue = array[i];\n        }\n    }\n    return minValue;\n}\n//# sourceMappingURL=xMinValue.js.map","/**\n * Returns true if x is monotone\n *\n * @param array - array of numbers\n */\nexport function xIsMonotonic(array) {\n    if (array.length <= 2) {\n        return 1;\n    }\n    if (array[0] === array[1]) {\n        // maybe a constant series\n        for (let i = 1; i < array.length - 1; i++) {\n            if (array[i] !== array[i + 1])\n                return 0;\n        }\n        return 1;\n    }\n    if (array[0] < array[array.length - 1]) {\n        for (let i = 0; i < array.length - 1; i++) {\n            if (array[i] >= array[i + 1])\n                return 0;\n        }\n        return 1;\n    }\n    else {\n        for (let i = 0; i < array.length - 1; i++) {\n            if (array[i] <= array[i + 1])\n                return 0;\n        }\n        return -1;\n    }\n}\n//# sourceMappingURL=xIsMonotonic.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","import { xMedianAbsoluteDeviation } from '..';\n/**\n * Determine noise level using MAD https://en.wikipedia.org/wiki/Median_absolute_deviation\n * Constant to convert mad to sd calculated using https://www.wolframalpha.com/input?i=sqrt%282%29+inverse+erf%280.5%29\n * This assumes a gaussian distribution of the noise\n * @param array\n * @returns noise level corresponding to one standard deviation\n */\nexport function xNoiseStandardDeviation(array) {\n    const { mad, median } = xMedianAbsoluteDeviation(array);\n    return { sd: mad / 0.6744897501960817, mad, median };\n}\n//# sourceMappingURL=xNoiseStandardDeviation.js.map","import { xMedian } from './xMedian';\n/**\n * This function calculates the median absolute deviation (MAD)\n * https://en.wikipedia.org/wiki/Median_absolute_deviation\n * @param array\n */\nexport function xMedianAbsoluteDeviation(array) {\n    const median = xMedian(array);\n    const averageDeviations = new Float64Array(array.length);\n    for (let i = 0; i < array.length; i++) {\n        averageDeviations[i] = Math.abs(array[i] - median);\n    }\n    return {\n        median,\n        mad: xMedian(averageDeviations),\n    };\n}\n//# sourceMappingURL=xMedianAbsoluteDeviation.js.map","import { xCheck } from './xCheck';\nimport { xGetFromToIndex } from './xGetFromToIndex';\n/**\n * Calculate the sum of the values\n *\n * @param array - Object that contains property x (an ordered increasing array) and y (an array).\n * @param options - Options.\n * @returns XSum value on the specified range.\n */\nexport function xSum(array, options = {}) {\n    xCheck(array);\n    const { fromIndex, toIndex } = xGetFromToIndex(array, options);\n    let sumValue = array[fromIndex];\n    for (let i = fromIndex + 1; i <= toIndex; i++) {\n        sumValue += array[i];\n    }\n    return sumValue;\n}\n//# sourceMappingURL=xSum.js.map","import { getOutputArray } from './utils/getOutputArray';\nimport { xCheck } from './xCheck';\nimport { xMaxValue } from './xMaxValue';\nimport { xSum } from './xSum';\n/**\n * Divides the data with either the sum, the absolute sum or the maximum of the data\n * @param array - Array containing values\n * @param options - options\n * @returns - normalized data\n */\nexport function xNormed(input, options = {}) {\n    const { algorithm = 'absolute', value = 1 } = options;\n    xCheck(input);\n    const output = getOutputArray(options.output, input.length);\n    if (input.length === 0) {\n        throw new Error('input must not be empty');\n    }\n    switch (algorithm.toLowerCase()) {\n        case 'absolute': {\n            let absoluteSumValue = absoluteSum(input) / value;\n            if (absoluteSumValue === 0) {\n                throw new Error('xNormed: trying to divide by 0');\n            }\n            for (let i = 0; i < input.length; i++) {\n                output[i] = input[i] / absoluteSumValue;\n            }\n            return output;\n        }\n        case 'max': {\n            let currentMaxValue = xMaxValue(input);\n            if (currentMaxValue === 0) {\n                throw new Error('xNormed: trying to divide by 0');\n            }\n            const factor = value / currentMaxValue;\n            for (let i = 0; i < input.length; i++) {\n                output[i] = input[i] * factor;\n            }\n            return output;\n        }\n        case 'sum': {\n            let sumFactor = xSum(input) / value;\n            if (sumFactor === 0) {\n                throw new Error('xNormed: trying to divide by 0');\n            }\n            for (let i = 0; i < input.length; i++) {\n                output[i] = input[i] / sumFactor;\n            }\n            return output;\n        }\n        default:\n            throw new Error(`norm: unknown algorithm: ${algorithm}`);\n    }\n}\nfunction absoluteSum(input) {\n    let sumValue = 0;\n    for (let i = 0; i < input.length; i++) {\n        sumValue += Math.abs(input[i]);\n    }\n    return sumValue;\n}\n//# sourceMappingURL=xNormed.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 * Throw an error in no an object of x,y arrays\n *\n * @param data - array of points {x,y,z}\n */\nexport function xyCheck(data, options = {}) {\n    const { minLength } = options;\n    if (typeof data !== 'object' || !isAnyArray(data.x) || !isAnyArray(data.y)) {\n        throw new Error('Data must be an object of x and y arrays');\n    }\n    if (data.x.length !== data.y.length) {\n        throw new Error('The x and y arrays must have the same length');\n    }\n    if (minLength && data.x.length < minLength) {\n        throw new Error(`data.x must have a length of at least ${minLength}`);\n    }\n}\n//# sourceMappingURL=xyCheck.js.map","import { xSortDescending } from '../x/xSort';\n/** Filter an array x/y based on various criteria x points are expected to be sorted\n *\n * @param data - object containing 2 properties x and y\n * @param options - options\n * @return filtered data\n */\nexport function xyFilterTopYValues(data, nbPeaks) {\n    if (nbPeaks === undefined)\n        return data;\n    if (nbPeaks > data.x.length)\n        return data;\n    const { x, y } = data;\n    const newX = [];\n    const newY = [];\n    const descending = xSortDescending(y.slice());\n    const threshold = descending[nbPeaks - 1];\n    let nbThreshold = 0;\n    for (let i = 0; i < nbPeaks; i++) {\n        if (descending[i] === threshold) {\n            nbThreshold++;\n        }\n    }\n    for (let i = 0; i < x.length; i++) {\n        if (y[i] > threshold) {\n            newX.push(x[i]);\n            newY.push(y[i]);\n        }\n        else if (y[i] === threshold) {\n            nbThreshold--;\n            if (nbThreshold >= 0) {\n                newX.push(x[i]);\n                newY.push(y[i]);\n            }\n        }\n    }\n    return {\n        x: newX,\n        y: newY,\n    };\n}\n//# sourceMappingURL=xyFilterTopYValues.js.map","/** Function that sorts arrays or Float64Arrays in ascending order\n *\n * @param array - array to sort\n * @returns sorted array\n */\nexport function xSortAscending(array) {\n    if (array instanceof Float64Array) {\n        return array.sort();\n    }\n    else if (Array.isArray(array)) {\n        return array.sort((a, b) => a - b);\n    }\n    throw new Error('Trying to sort non aray');\n}\n/** Function that sorts arrays or Float64Arrays in descending order\n *\n * @param array - array to sort\n * @returns sorted array\n */\nexport function xSortDescending(array) {\n    if (array instanceof Float64Array) {\n        return array.sort().reverse();\n    }\n    else if (Array.isArray(array)) {\n        return array.sort((a, b) => b - a);\n    }\n    throw new Error('Trying to sort non aray');\n}\n//# sourceMappingURL=xSort.js.map","import { xyCheck } from './xyCheck';\n/**\n * Join x / y values when difference in X is closer than delta.\n * When joining, y values are summed and x values are weighted average\n *\n * @param data - Object that contains property x (an ordered increasing array) and y (an array)\n * @param options - Options\n * @returns - An object with the xyIntegration function\n */\nexport function xyJoinX(data, options = {}) {\n    xyCheck(data);\n    const { delta = 1 } = options;\n    const deltaIsFunction = typeof delta === 'function';\n    const x = Array.from(data.x);\n    const y = Array.from(data.y);\n    if (x.length < 2) {\n        return { x, y };\n    }\n    let position = 0;\n    for (let i = 1; i < x.length; i++) {\n        let difference = x[i] - x[i - 1];\n        let currentDelta = deltaIsFunction ? delta((x[i] + x[i - 1]) / 2) : delta;\n        if (difference <= currentDelta) {\n            // we join\n            if (y[position] !== 0 || y[i] !== 0) {\n                x[position] =\n                    (x[position] * y[position] + x[i] * y[i]) / (y[position] + y[i]);\n                y[position] += y[i];\n            }\n        }\n        else {\n            position++;\n            x[position] = x[i];\n            y[position] = y[i];\n        }\n    }\n    x.length = position + 1;\n    y.length = position + 1;\n    return { x, y };\n}\n//# sourceMappingURL=xyJoinX.js.map","import { xIsMonotonic } from '../x/xIsMonotonic';\n/**\n * This function performs a quick sort of the x array while transforming the y array to preserve the coordinates.\n *\n * @param data - Object that contains property x (Array) and y (Array)\n */\nexport function xySortX(data) {\n    const { x, y } = data;\n    if (xIsMonotonic(x) && x.length > 1) {\n        if (x[0] < x[1]) {\n            return {\n                x: Float64Array.from(x),\n                y: Float64Array.from(y),\n            };\n        }\n        else {\n            return {\n                x: Float64Array.from(x).reverse(),\n                y: Float64Array.from(y).reverse(),\n            };\n        }\n    }\n    let xyObject = x\n        .map((val, index) => ({\n        x: val,\n        y: y[index],\n    }))\n        .sort((a, b) => a.x - b.x);\n    let response = {\n        x: new Float64Array(x.length),\n        y: new Float64Array(y.length),\n    };\n    for (let i = 0; i < x.length; i++) {\n        response.x[i] = xyObject[i].x;\n        response.y[i] = xyObject[i].y;\n    }\n    return response;\n}\n//# sourceMappingURL=xySortX.js.map","import { xyJoinX } from '../xy/xyJoinX';\nimport { getSlots } from './utils/getSlots';\n/**\n * Aligns data, can be used for spectra\n *\n * @param data - data\n * @param options - Options\n */\nexport function xyArrayAlign(data, options = {}) {\n    const { delta = 1, requiredY = false } = options;\n    data = data.map((spectrum) => xyJoinX(spectrum, { delta }));\n    const slots = getSlots(data, options);\n    let x = Float64Array.from(slots.map((slot) => slot.average));\n    let ys = new Array(data.length).fill(0).map(() => new Float64Array(x.length));\n    let positions = new Uint32Array(data.length);\n    for (let i = 0; i < slots.length; i++) {\n        let slot = slots[i];\n        for (let j = 0; j < data.length; j++) {\n            let spectrum = data[j];\n            while (positions[j] < spectrum.x.length &&\n                spectrum.x[positions[j]] <= slot.to) {\n                ys[j][i] += spectrum.y[positions[j]];\n                positions[j]++;\n            }\n        }\n    }\n    if (requiredY)\n        return filterRequiredY(x, ys);\n    return { x, ys };\n}\nfunction filterRequiredY(x, ys) {\n    const newX = [];\n    const newYs = new Array(ys.length).fill(0).map(() => []);\n    for (let i = 0; i < x.length; i++) {\n        if (ys.every((y) => y[i] !== 0)) {\n            newX.push(x[i]);\n            for (let j = 0; j < ys.length; j++) {\n                newYs[j].push(ys[j][i]);\n            }\n        }\n    }\n    return { x: newX, ys: newYs };\n}\n//# sourceMappingURL=xyArrayAlign.js.map","/**\n * GetSlots.\n *\n * @param data - data.\n * @param options - Options.\n */\nexport function getSlots(data, options = {}) {\n    const { delta = 1 } = options;\n    const deltaIsFunction = typeof delta === 'function';\n    let possibleXs = Float64Array.from([].concat(...data.map((spectrum) => spectrum.x))).sort();\n    if (possibleXs.length === 0) {\n        throw new Error('xyArrayMerge can not process empty arrays');\n    }\n    let currentSlot = {\n        from: possibleXs[0],\n        to: possibleXs[0],\n        average: possibleXs[0],\n        sum: possibleXs[0],\n        number: 1,\n    };\n    let slots = [currentSlot];\n    for (let i = 1; i < possibleXs.length; i++) {\n        let currentDelta = deltaIsFunction ? delta(possibleXs[i]) : delta;\n        if (possibleXs[i] - currentSlot.to <= currentDelta) {\n            currentSlot.to = possibleXs[i];\n            currentSlot.number++;\n            currentSlot.sum += possibleXs[i];\n            currentSlot.average = currentSlot.sum / currentSlot.number;\n        }\n        else {\n            currentSlot = {\n                from: possibleXs[i],\n                to: possibleXs[i],\n                average: possibleXs[i],\n                sum: possibleXs[i],\n                number: 1,\n            };\n            slots.push(currentSlot);\n        }\n    }\n    return slots;\n}\n//# sourceMappingURL=getSlots.js.map","/**\n * Merge DataXY\n * We have an array of DataXY and the goal is to merge all the values for which the deltaX is small or equal to delta.\n * X values are weighted average\n *\n * @param data - data\n * @param options - Options\n */\nexport function xyArrayWeightedMerge(data, options = {}) {\n    let { delta = 1 } = options;\n    if (typeof delta === 'number') {\n        let deltaNumber = delta;\n        delta = () => deltaNumber;\n    }\n    data = data.filter((spectrum) => spectrum.x.length > 0);\n    if (data.length === 0)\n        return { x: [], y: [] };\n    let x = [];\n    let y = [];\n    const positions = new Array(data.length).fill(0);\n    const point = { x: 0, y: 0 };\n    nextValue(data, positions, point);\n    let slot = {\n        maxX: point.x + delta(point.x),\n        sumY: point.y,\n        sumXY: point.y * point.x,\n    };\n    while (data.length > 0) {\n        nextValue(data, positions, point);\n        let sameSlot = point.x <= slot.maxX;\n        if (!sameSlot) {\n            if (slot.sumY > 0) {\n                x.push(slot.sumXY / slot.sumY);\n                y.push(slot.sumY);\n            }\n            slot.sumY = 0;\n            slot.sumXY = 0;\n        }\n        slot.sumY += point.y;\n        slot.sumXY += point.x * point.y;\n        slot.maxX = point.x + delta(point.x);\n        if (data.length === 0 && slot.sumY > 0) {\n            x.push(slot.sumXY / slot.sumY);\n            y.push(slot.sumY);\n        }\n    }\n    return { x, y };\n}\n/**\n * NextValue.\n *\n * @param data - data.\n * @param positions - Positions array.\n * @param point - Point.\n */\nfunction nextValue(data, positions, point) {\n    let minIndex = 0;\n    let minX = data[0].x[positions[0]];\n    for (let i = 1; i < data.length; i++) {\n        let currentX = data[i].x[positions[i]];\n        if (currentX < minX) {\n            minX = currentX;\n            minIndex = i;\n        }\n    }\n    point.x = minX;\n    point.y = data[minIndex].y[positions[minIndex]];\n    positions[minIndex]++;\n    if (positions[minIndex] === data[minIndex].x.length) {\n        positions.splice(minIndex, 1);\n        data.splice(minIndex, 1);\n    }\n}\n//# sourceMappingURL=xyArrayWeightedMerge.js.map","import { getSlotsToFirst } from './utils/getSlotsToFirst';\n/**\n * We align all the data/spectra to the first array of X.\n * The alignment is based on the X values of the first spectrum and the `delta` error allowed.\n * If some x values are missing in the first spectrum we will add them\n *\n * @param data data\n * @param options options\n */\nexport function xyArrayAlignToFirst(data, options = {}) {\n    const slots = getSlotsToFirst(data, options);\n    let x = Float64Array.from(slots.map((slot) => slot.value));\n    let ys = new Array(data.length).fill(0).map(() => new Float64Array(x.length));\n    let positions = new Uint32Array(data.length);\n    for (let i = 0; i < slots.length; i++) {\n        let slot = slots[i];\n        for (let j = 0; j < data.length; j++) {\n            let spectrum = data[j];\n            while (positions[j] < spectrum.x.length &&\n                spectrum.x[positions[j]] < slot.to) {\n                ys[j][i] += spectrum.y[positions[j]];\n                positions[j]++;\n            }\n        }\n    }\n    return { x, ys };\n}\n//# sourceMappingURL=xyArrayAlignToFirst.js.map","import { xyArrayWeightedMerge } from '../xyArrayWeightedMerge';\n/**\n * GetSlotsToFirst.\n *\n * @param data - data.\n * @param options - Options.\n */\nexport function getSlotsToFirst(data, options = {}) {\n    const { delta = 1 } = options;\n    const deltaIsFunction = typeof delta === 'function';\n    let firstXs = data[0].x;\n    let slots = [];\n    // we first create the slots based on the first spectrum\n    for (const element of firstXs) {\n        let currentDelta = deltaIsFunction ? delta(element) : delta;\n        slots.push({\n            from: element - currentDelta,\n            to: element + currentDelta,\n            value: element,\n        });\n    }\n    let otherXs = xyArrayWeightedMerge(data.slice(1), options).x;\n    let currentPosition = 0;\n    for (let slot of slots) {\n        while (otherXs[currentPosition] < slot.to &&\n            currentPosition < otherXs.length) {\n            if (otherXs[currentPosition] < slot.from) {\n                let currentDelta = deltaIsFunction\n                    ? delta(otherXs[currentPosition])\n                    : delta;\n                slots.push({\n                    from: otherXs[currentPosition] - currentDelta,\n                    to: otherXs[currentPosition] + currentDelta,\n                    value: otherXs[currentPosition],\n                });\n            }\n            currentPosition++;\n        }\n    }\n    for (let i = currentPosition; i < otherXs.length; i++) {\n        let currentDelta = deltaIsFunction ? delta(otherXs[i]) : delta;\n        slots.push({\n            from: otherXs[i] - currentDelta,\n            to: otherXs[i] + currentDelta,\n            value: otherXs[i],\n        });\n    }\n    slots.sort((a, b) => a.value - b.value);\n    // we prevent slots overlap in the first spectrum\n    for (let i = 0; i < slots.length - 1; i++) {\n        if (slots[i].to > slots[i + 1].from) {\n            let middle = (slots[i].value + slots[i + 1].value) / 2;\n            slots[i].to = middle;\n            slots[i + 1].from = middle;\n        }\n    }\n    return slots;\n}\n//# sourceMappingURL=getSlotsToFirst.js.map","/**\n * Throw an error in no an object of x,y arrays\n *\n * @param points - list of points\n */\nexport function xyObjectCheck(points = []) {\n    if (!Array.isArray(points)) {\n        throw new Error('ArrayPoints must be an array of {x,y} object');\n    }\n    if (points.length > 0 &&\n        (points[0].x === undefined || points[0].y === undefined)) {\n        throw new Error('ArrayPoints must be an array of {x,y} object');\n    }\n}\n//# sourceMappingURL=xyObjectCheck.js.map","import { xyObjectCheck } from './xyObjectCheck';\n/**\n * Finds the max x value and return a {x,y,index} point\n *\n * @param points - Object that contains property x (an ordered increasing array) and y (an array)\n */\nexport function xyObjectMaxXPoint(points = []) {\n    xyObjectCheck(points);\n    if (points.length === 0)\n        return { x: 0, y: 0 };\n    let current = {\n        x: points[0].x,\n        y: points[0].y,\n        index: 0,\n    };\n    for (let i = 1; i < points.length; i++) {\n        if (points[i].x > current.x) {\n            current = {\n                x: points[i].x,\n                y: points[i].y,\n                index: i,\n            };\n        }\n    }\n    return current;\n}\n//# sourceMappingURL=xyObjectMaxXPoint.js.map","import { xyObjectCheck } from './xyObjectCheck';\n/**\n * Finds the min x value and return a {x,y,index} point\n *\n * @param points - Object that contains property x (an ordered increasing array) and y (an array)\n */\nexport function xyObjectMinXPoint(points = []) {\n    xyObjectCheck(points);\n    if (points.length === 0)\n        return { x: 0, y: 0 };\n    let current = {\n        x: points[0].x,\n        y: points[0].y,\n        index: 0,\n    };\n    for (let i = 1; i < points.length; i++) {\n        if (points[i].x < current.x) {\n            current = {\n                x: points[i].x,\n                y: points[i].y,\n                index: i,\n            };\n        }\n    }\n    return current;\n}\n//# sourceMappingURL=xyObjectMinXPoint.js.map","const LOOP = 8;\nconst FLOAT_MUL = 1 / 16777216;\nconst sh1 = 15;\nconst sh2 = 18;\nconst sh3 = 11;\nfunction multiply_uint32(n, m) {\n    n >>>= 0;\n    m >>>= 0;\n    const nlo = n & 0xffff;\n    const nhi = n - nlo;\n    return (((nhi * m) >>> 0) + nlo * m) >>> 0;\n}\nexport default class XSadd {\n    constructor(seed = Date.now()) {\n        this.state = new Uint32Array(4);\n        this.init(seed);\n        this.random = this.getFloat.bind(this);\n    }\n    /**\n     * Returns a 32-bit integer r (0 <= r < 2^32)\n     */\n    getUint32() {\n        this.nextState();\n        return (this.state[3] + this.state[2]) >>> 0;\n    }\n    /**\n     * Returns a floating point number r (0.0 <= r < 1.0)\n     */\n    getFloat() {\n        return (this.getUint32() >>> 8) * FLOAT_MUL;\n    }\n    init(seed) {\n        if (!Number.isInteger(seed)) {\n            throw new TypeError('seed must be an integer');\n        }\n        this.state[0] = seed;\n        this.state[1] = 0;\n        this.state[2] = 0;\n        this.state[3] = 0;\n        for (let i = 1; i < LOOP; i++) {\n            this.state[i & 3] ^=\n                (i +\n                    multiply_uint32(1812433253, this.state[(i - 1) & 3] ^ ((this.state[(i - 1) & 3] >>> 30) >>> 0))) >>>\n                    0;\n        }\n        this.periodCertification();\n        for (let i = 0; i < LOOP; i++) {\n            this.nextState();\n        }\n    }\n    periodCertification() {\n        if (this.state[0] === 0 &&\n            this.state[1] === 0 &&\n            this.state[2] === 0 &&\n            this.state[3] === 0) {\n            this.state[0] = 88; // X\n            this.state[1] = 83; // S\n            this.state[2] = 65; // A\n            this.state[3] = 68; // D\n        }\n    }\n    nextState() {\n        let t = this.state[0];\n        t ^= t << sh1;\n        t ^= t >>> sh2;\n        t ^= this.state[3] << sh3;\n        this.state[0] = this.state[1];\n        this.state[1] = this.state[2];\n        this.state[2] = this.state[3];\n        this.state[3] = t;\n    }\n}\n","import XSAdd from 'ml-xsadd';\n/**\n * Create a random array of numbers of a specific length\n *\n * @return - array of random floats normally distributed\n */\nlet spare;\nlet hasSpare = false;\nexport function createRandomArray(options = {}) {\n    const { mean = 0, standardDeviation = 1, length = 1000, range = 1, seed, distribution = 'normal', } = options;\n    const generator = new XSAdd(seed);\n    let returnArray = new Float64Array(length);\n    switch (distribution) {\n        case 'normal':\n            for (let i = 0; i < length; i++) {\n                returnArray[i] = generateGaussian(mean, standardDeviation, generator);\n            }\n            break;\n        case 'uniform':\n            for (let i = 0; i < length; i++) {\n                returnArray[i] = (generator.random() - 0.5) * range + mean;\n            }\n            break;\n        default:\n            // eslint-disable-next-line @typescript-eslint/restrict-template-expressions\n            throw new Error(`unknown distribution: ${distribution}`);\n    }\n    return returnArray;\n}\nfunction generateGaussian(mean, standardDeviation, generator) {\n    let val, u, v, s;\n    if (hasSpare) {\n        hasSpare = false;\n        val = spare * standardDeviation + mean;\n    }\n    else {\n        do {\n            u = generator.random() * 2 - 1;\n            v = generator.random() * 2 - 1;\n            s = u * u + v * v;\n        } while (s >= 1 || s === 0);\n        s = Math.sqrt((-2 * Math.log(s)) / s);\n        spare = v * s;\n        hasSpare = true;\n        val = mean + standardDeviation * u * s;\n    }\n    return val;\n}\n//# sourceMappingURL=createRandomArray.js.map","import { xyObjectMaxXPoint, xyObjectMinXPoint } from 'ml-spectra-processing';\n\n/**\n * Filter the array by taking the higher peaks and only\n * keep one per slot.\n * There are 2 different slots, the smallest one will have the\n * extra annotation `close` to true\n * @param {array} peaks - array of all the peaks\n * @param {object} [options={}]\n * @param {number} [options.from] - min X value of the window to consider\n * @param {number} [options.to] - max X value of the window to consider\n * @param {number} [options.searchMonoisotopicRatio=0] - search previous peaks with at least ratio height\n * @param {number} [options.limit=20] - max number of peaks\n * @param {number} [options.threshold=0.01] - minimal intensity compare to base peak\n * @param {number} [options.numberSlots=10] - define the number of slots and indirectly the slot width\n * @param {number} [options.numberCloseSlots=50]\n * @returns {array} - copy of peaks with 'close' annotation\n */\n\nexport function getBestPeaks(peaks, options = {}) {\n  const {\n    searchMonoisotopicRatio = 0,\n    from = xyObjectMinXPoint(peaks).x,\n    to = xyObjectMaxXPoint(peaks).x,\n    limit = 20,\n    threshold = 0.01,\n    numberCloseSlots = 50,\n    numberSlots = 10,\n  } = options;\n  let slot = (to - from) / numberSlots;\n  let closeSlot = (to - from) / numberCloseSlots;\n  let selected = peaks\n    .filter((peak) => peak.x >= from && peak.x <= to)\n    .map((peak) => {\n      return {\n        peak,\n        monoisotopic: false,\n      };\n    });\n\n  if (searchMonoisotopicRatio) {\n    selected = selected.sort((a, b) => b.peak.x - a.peak.x);\n\n    for (let i = 0; i < selected.length; i++) {\n      let item = selected[i];\n      for (let j = i + 1; j < selected.length; j++) {\n        let nextItem = selected[j];\n        if (item.peak.x - nextItem.peak.x < 0.09) continue;\n        if (item.peak.x - nextItem.peak.x > 1.1) break;\n        if (nextItem.peak.y > item.peak.y * searchMonoisotopicRatio) {\n          item.monoisotopic = false;\n          nextItem.monoisotopic = true;\n          break;\n        }\n      }\n    }\n  }\n\n  selected = selected.sort((a, b) => {\n    if (a.monoisotopic && !b.monoisotopic) return -1;\n    if (b.monoisotopic && !a.monoisotopic) return 1;\n    return b.peak.y - a.peak.y;\n  });\n\n  let toReturn = [];\n  if (selected.length === 0) return [];\n  let minY = selected[0].peak.y * threshold;\n  peakLoop: for (let item of selected) {\n    if (item.peak.y < minY) {\n      if (item.monoisotopic) {\n        continue;\n      } else {\n        break;\n      }\n    }\n    let close = false;\n    for (let existing of toReturn) {\n      if (Math.abs(existing.x - item.peak.x) < closeSlot) {\n        continue peakLoop;\n      }\n      if (Math.abs(existing.x - item.peak.x) < slot) {\n        close = true;\n      }\n    }\n    let newPeak = JSON.parse(JSON.stringify(item.peak));\n    newPeak.close = close;\n    toReturn.push(newPeak);\n    if (toReturn.length === limit) break;\n  }\n  return toReturn.sort((a, b) => a.x - b.x);\n}\n","/**\n * Define static variable corresponding to the various Kinds of a molecular formula part.\n */\n\nexport const Kind = {\n  BEGIN: 'begin',\n  ATOM: 'atom',\n  MULTIPLIER_RANGE: 'multiplierRange',\n  ISOTOPE: 'isotope',\n  ISOTOPE_RATIO: 'isotopeRatio',\n  CHARGE: 'charge',\n  SALT: 'salt',\n  OPENING_PARENTHESIS: 'openingParenthesis',\n  CLOSING_PARENTHESIS: 'closingParenthesis',\n  PRE_MULTIPLIER: 'preMultiplier',\n  MULTIPLIER: 'multiplier',\n  TEXT: 'text',\n  ANCHOR: 'anchor',\n  COMMENT: 'comment',\n};\n","/**\n * Parse a string to extract the charge\n * The charge may be in the form --, +++, +3, -2, 4+, 2-\n * @param {*} charge\n */\n\nexport function parseCharge(charge) {\n  charge = charge.replace(/[()]/g, '');\n  let chargeNumber = 0;\n  if (charge.match(/^[+-]+$/)) {\n    for (let i = 0; i < charge.length; i++) {\n      if (charge.charAt(i) === '+') chargeNumber++;\n      else chargeNumber--;\n    }\n  } else if (charge.match(/^[0-9]+[+-]$/)) {\n    chargeNumber = Number(\n      charge.charAt(charge.length - 1) + charge.substring(0, charge.length - 1),\n    );\n  } else {\n    chargeNumber = Number(charge);\n  }\n  return chargeNumber;\n}\n","import { Kind } from './Kind';\nimport { parseCharge } from './util/parseCharge';\n\n/**\n * Parse a mf to an array of kind / value\n * @param {String} mf\n */\n\nexport function parse(mf) {\n  return new MFParser().parse(mf);\n}\n\nclass MFParser {\n  parse(mf = '') {\n    this.mf = mf;\n    this.i = 0;\n    this.result = [];\n\n    let lastKind = Kind.BEGIN;\n    while (this.i < mf.length) {\n      if (\n        this.result.length > 0 &&\n        this.result[this.result.length - 1].kind !== Kind.TEXT\n      ) {\n        lastKind = this.result[this.result.length - 1].kind;\n      }\n      let char = mf.charAt(this.i);\n      let ascii = mf.charCodeAt(this.i);\n      let nextAscii = 0;\n      if (this.i + 1 < mf.length) nextAscii = mf.charCodeAt(this.i + 1);\n\n      if (\n        (ascii > 47 && ascii < 58) ||\n        (char === '-' && nextAscii > 47 && nextAscii < 58)\n      ) {\n        // a number\n        let value = this.getNumber(ascii);\n        if (\n          lastKind === Kind.SALT ||\n          lastKind === Kind.BEGIN ||\n          lastKind === Kind.OPENING_PARENTHESIS\n        ) {\n          if (value.to) {\n            throw new MFError(\n              this.mf,\n              this.i,\n              'Premultiplier may not contain a -',\n            );\n          }\n          this.result.push({ kind: Kind.PRE_MULTIPLIER, value: value.from });\n        } else if (lastKind === Kind.ANCHOR) {\n          if (value.to) {\n            throw new MFError(this.mf, this.i, 'Anchor ID may not contain -');\n          }\n          this.result[this.result.length - 1].value = value.from;\n        } else if (value.to) {\n          this.result.push({\n            kind: Kind.MULTIPLIER_RANGE,\n            value: {\n              from: Math.min(value.from, value.to),\n              to: Math.max(value.from, value.to),\n            },\n          });\n        } else {\n          this.result.push({ kind: Kind.MULTIPLIER, value: value.from });\n        }\n        continue;\n      } else if (char === '.') {\n        // a point\n        this.result.push({ kind: Kind.SALT, value: char });\n        // it is not in a number otherwise it would have been taken before\n        // it must be in a salt\n      } else if (char === '#') {\n        // an anchor\n        this.result.push({ kind: Kind.ANCHOR, value: 0 });\n        // it is not in a number otherwise it would have been taken before\n        // it must be in a salt\n      } else if (ascii > 64 && ascii < 91) {\n        // an uppercase = new atom\n        let value = this.getAtom(ascii);\n        this.result.push({ kind: Kind.ATOM, value });\n        continue;\n      } else if (ascii > 96 && ascii < 123) {\n        // a lowercase\n        throw new MFError(\n          this.mf,\n          this.i,\n          'found a lowercase not following an uppercase',\n        );\n      } else if (char === '(') {\n        let charge = this.getParenthesisCharge(ascii);\n        if (charge) {\n          this.result.push({ kind: Kind.CHARGE, value: charge });\n        } else {\n          this.result.push({ kind: Kind.OPENING_PARENTHESIS, value: '(' });\n        }\n      } else if (char === ')') {\n        this.result.push({ kind: Kind.CLOSING_PARENTHESIS, value: ')' });\n      } else if (char === '[') {\n        // defines an isotope\n        let isotope = this.getIsotope(ascii);\n        this.result.push({ kind: Kind.ISOTOPE, value: isotope });\n      } else if (char === ']') {\n        throw new MFError(\n          this.mf,\n          this.i,\n          'should never meet an closing bracket not in isotopes',\n        );\n      } else if (char === '{') {\n        // can define an exotic isotopic ratio or mixtures of groups\n        let isotopeRatio = this.getCurlyBracketIsotopeRatio(ascii);\n        if (lastKind === Kind.ATOM) {\n          let lastResult = this.result[this.result.length - 1];\n          lastResult.kind = Kind.ISOTOPE_RATIO;\n          lastResult.value = {\n            atom: lastResult.value,\n            ratio: isotopeRatio,\n          };\n        } else {\n          throw new MFError(\n            this.mf,\n            this.i,\n            'isotopic composition has to follow an atom',\n          );\n        }\n      } else if (char === '}') {\n        throw new MFError(\n          this.mf,\n          this.i,\n          'found a unexpected closing curly bracket',\n        );\n      } else if (char === '+') {\n        // charge not in parenthesis\n        let charge = this.getNonParenthesisCharge(ascii);\n        this.result.push({ kind: Kind.CHARGE, value: charge });\n      } else if (char === '-') {\n        // charge not in parenthesis\n        let charge = this.getNonParenthesisCharge(ascii);\n        this.result.push({ kind: Kind.CHARGE, value: charge });\n      } else if (char === '$') {\n        // it is a comment after\n        this.result.push({\n          kind: Kind.COMMENT,\n          value: this.mf.substring(this.i + 1),\n        });\n        break;\n      } else {\n        this.result.push({ kind: Kind.TEXT, value: char });\n      }\n      this.i++;\n    }\n\n    this.checkParenthesis();\n    return this.result;\n  }\n\n  checkParenthesis() {\n    let counter = 0;\n    for (let line of this.result) {\n      if (line.kind === Kind.OPENING_PARENTHESIS) counter++;\n      if (line.kind === Kind.CLOSING_PARENTHESIS) counter--;\n    }\n    if (counter !== 0) {\n      throw new MFError(\n        this.mf,\n        this.i,\n        'number of opening and closing parenthesis not equal',\n      );\n    }\n  }\n\n  getNumber(ascii) {\n    let number = '';\n    let previous;\n    do {\n      previous = ascii;\n      number += String.fromCharCode(ascii);\n      this.i++;\n      ascii = this.mf.charCodeAt(this.i);\n    } while (\n      (ascii > 47 && ascii < 58) ||\n      ascii === 46 ||\n      ascii === 45 ||\n      ascii === 47\n    ); // number . - /\n    // we need to deal with the case there is a from / to\n    if (previous === 46) this.i--;\n    let indexOfDash = number.indexOf('-', 1);\n\n    if (indexOfDash > -1) {\n      return {\n        from: parseNumberWithDivision(number.substr(0, indexOfDash)),\n        to: parseNumberWithDivision(number.substr(indexOfDash + 1)),\n      };\n    }\n    return { from: parseNumberWithDivision(number) };\n  }\n\n  getAtom(ascii) {\n    let atom = '';\n    do {\n      atom += String.fromCharCode(ascii);\n      this.i++;\n      ascii = this.mf.charCodeAt(this.i);\n    } while (ascii > 96 && ascii < 123);\n    return atom;\n  }\n\n  getIsotope(ascii) {\n    // [13C]\n    let substring = '';\n    do {\n      substring += String.fromCharCode(ascii);\n      this.i++;\n      ascii = this.mf.charCodeAt(this.i);\n    } while (ascii !== 93 && this.i <= this.mf.length);\n\n    let atom = substring.replace(/[^a-zA-Z]/g, '');\n    let isotope = Number(substring.replace(/[^0-9]/g, ''));\n    return { atom, isotope };\n  }\n\n  getCurlyBracketIsotopeRatio(ascii) {\n    let substring = '';\n    let first = true;\n    do {\n      if (!first) {\n        substring += String.fromCharCode(ascii);\n      } else {\n        first = false;\n      }\n      this.i++;\n      ascii = this.mf.charCodeAt(this.i);\n    } while (ascii !== 125 && this.i <= this.mf.length); // closing curly bracket\n    if (substring.match(/^[0-9,]+$/)) {\n      return substring.split(',').map((a) => Number(a));\n    }\n    throw new MFError(\n      this.mf,\n      this.i,\n      'Curly brackets should contain only number and comma',\n    );\n  }\n\n  getParenthesisCharge(ascii) {\n    let substring = '';\n    let begin = this.i;\n    do {\n      substring += String.fromCharCode(ascii);\n      this.i++;\n      ascii = this.mf.charCodeAt(this.i);\n    } while (ascii !== 41 && this.i <= this.mf.length); // closing parenthesis\n    if (substring.match(/^\\([0-9+-]+$/)) {\n      return parseCharge(substring.substring(1));\n    } else {\n      this.i = begin;\n      return undefined;\n    }\n  }\n\n  getNonParenthesisCharge(ascii) {\n    let substring = '';\n    do {\n      substring += String.fromCharCode(ascii);\n      this.i++;\n      ascii = this.mf.charCodeAt(this.i);\n    } while (ascii === 43 || ascii === 45 || (ascii > 47 && ascii < 58));\n    this.i--;\n    return parseCharge(substring);\n  }\n}\nclass MFError extends SyntaxError {\n  constructor(mf, i, message) {\n    let text = `${message}\\n\\n${mf}\\n${' '.repeat(i)}^`;\n    super(text);\n  }\n}\n\nfunction parseNumberWithDivision(string) {\n  if (string.includes('/')) {\n    let parts = string.split('/');\n    if (parts.length !== 2) {\n      throw new TypeError('Can not parse MF with number like: ', string);\n    }\n    return Number(parts[0]) / Number(parts[1]);\n  } else {\n    return Number(string);\n  }\n}\n","export const superscript = {\n  0: '⁰',\n  1: '¹',\n  2: '²',\n  3: '³',\n  4: '⁴',\n  5: '⁵',\n  6: '⁶',\n  7: '⁷',\n  8: '⁸',\n  9: '⁹',\n  '+': '⁺',\n  '-': '⁻',\n  '(': '⁽',\n  ')': '⁾',\n  '{': '⁽',\n  '}': '⁾',\n  '.': '˙',\n  ',': '˙',\n};\n\nexport const subscript = {\n  0: '₀',\n  1: '₁',\n  2: '₂',\n  3: '₃',\n  4: '₄',\n  5: '₅',\n  6: '₆',\n  7: '₇',\n  8: '₈',\n  9: '₉',\n  '(': '₍',\n  ')': '₎',\n  '{': '₍',\n  '}': '₎',\n  '.': ' ',\n  ',': ' ',\n};\n","/**\n * Defines static variables corresponding to the various formatting possibilities\n */\n\nexport const Format = {\n  SUBSCRIPT: 'subscript',\n  SUPERSCRIPT: 'superscript',\n  SUPERIMPOSE: 'superimpose',\n  TEXT: 'text',\n};\n","export function formatCharge(charge) {\n  if (charge === 1) return '+';\n  if (charge > 1) return `+${charge}`;\n  if (charge < 0) return String(charge);\n  return '';\n}\n","import { Format } from '../Format';\nimport { Kind } from '../Kind';\n\nimport { formatCharge } from './formatCharge.js';\n\n/**\n * Converts an array of mf elements to an array of formatting information\n * @param {object[]} lines of the parse method\n */\n\nexport function toDisplay(lines) {\n  let results = [];\n  let result = {};\n  for (let line of lines) {\n    switch (line.kind) {\n      case Kind.MULTIPLIER:\n        if (line.value !== 1) {\n          result = {\n            kind: Format.SUBSCRIPT,\n            value: String(line.value),\n          };\n          results.push(result);\n        }\n        break;\n      case Kind.MULTIPLIER_RANGE:\n        result = {\n          kind: Format.SUBSCRIPT,\n          value: `${String(line.value.from)}-${line.value.to}`,\n        };\n        results.push(result);\n        break;\n      case Kind.CHARGE:\n        if (result.kind === Format.SUBSCRIPT) {\n          result.kind = Format.SUPERIMPOSE;\n          result.over = formatCharge(line.value);\n          result.under = result.value;\n          result.value = undefined;\n        } else {\n          result = {\n            kind: Format.SUPERSCRIPT,\n            value: formatCharge(line.value),\n          };\n          results.push(result);\n        }\n\n        break;\n\n      case Kind.ISOTOPE:\n        result = {\n          kind: Format.SUPERSCRIPT,\n          value: line.value.isotope,\n        };\n        results.push(result);\n        result = {\n          kind: Format.TEXT,\n          value: line.value.atom,\n        };\n        results.push(result);\n        break;\n\n      case Kind.ISOTOPE_RATIO:\n        if (result.kind === Format.TEXT) {\n          result.value += line.value.atom;\n        } else {\n          result = {\n            kind: Format.TEXT,\n            value: line.value.atom,\n          };\n          results.push(result);\n        }\n        result = {\n          kind: Format.SUPERSCRIPT,\n          value: `{${line.value.ratio.join(',')}}`,\n        };\n        results.push(result);\n        break;\n      case Kind.SALT:\n        if (result.kind === Format.TEXT) {\n          result.value += ' • ';\n        } else {\n          result = {\n            kind: Format.TEXT,\n            value: ' • ',\n          };\n          results.push(result);\n        }\n        break;\n      default:\n        if (result.kind === Format.TEXT) {\n          result.value += line.value;\n        } else {\n          result = {\n            kind: Format.TEXT,\n            value: line.value,\n          };\n          results.push(result);\n        }\n    }\n  }\n  return results;\n}\n","export const Style = {\n  SUPERIMPOSE:\n    'flex-direction: column;display: inline-flex;justify-content: center;text-align: left;vertical-align: middle;',\n  SUPERIMPOSE_SUP_SUB: 'line-height: 1; font-size: 70%',\n};\n","export const ELECTRON_MASS = 5.4857990907e-4;\n","export const elementsAndIsotopes = [\n  {\n    number: 1,\n    isotopes: [\n      { nominal: 1, mass: 1.00782503223, abundance: 0.999885 },\n      { nominal: 2, mass: 2.01410177812, abundance: 0.000115 },\n      { nominal: 3, mass: 3.0160492779 },\n      { nominal: 4, mass: 4.02643 },\n      { nominal: 5, mass: 5.035311 },\n      { nominal: 6, mass: 6.04496 },\n      { nominal: 7, mass: 7.0527 },\n    ],\n    symbol: 'H',\n    mass: 1.0079407540557772,\n    name: 'Hydrogen',\n    monoisotopicMass: 1.00782503223,\n  },\n  {\n    number: 2,\n    isotopes: [\n      { nominal: 3, mass: 3.0160293201, abundance: 0.00000134 },\n      { nominal: 4, mass: 4.00260325413, abundance: 0.99999866 },\n      { nominal: 5, mass: 5.012057 },\n      { nominal: 6, mass: 6.018885891 },\n      { nominal: 7, mass: 7.0279907 },\n      { nominal: 8, mass: 8.03393439 },\n      { nominal: 9, mass: 9.043946 },\n      { nominal: 10, mass: 10.05279 },\n    ],\n    symbol: 'He',\n    mass: 4.002601932120929,\n    name: 'Helium',\n    monoisotopicMass: 4.00260325413,\n  },\n  {\n    number: 3,\n    isotopes: [\n      { nominal: 3, mass: 3.0308 },\n      { nominal: 4, mass: 4.02719 },\n      { nominal: 5, mass: 5.012538 },\n      { nominal: 6, mass: 6.0151228874, abundance: 0.0759 },\n      { nominal: 7, mass: 7.0160034366, abundance: 0.9241 },\n      { nominal: 8, mass: 8.022486246 },\n      { nominal: 9, mass: 9.02679019 },\n      { nominal: 10, mass: 10.035483 },\n      { nominal: 11, mass: 11.04372358 },\n      { nominal: 12, mass: 12.052517 },\n      { nominal: 13, mass: 13.06263 },\n    ],\n    symbol: 'Li',\n    mass: 6.94003660291572,\n    name: 'Lithium',\n    monoisotopicMass: 7.0160034366,\n  },\n  {\n    number: 4,\n    isotopes: [\n      { nominal: 5, mass: 5.0399 },\n      { nominal: 6, mass: 6.0197264 },\n      { nominal: 7, mass: 7.016928717 },\n      { nominal: 8, mass: 8.005305102 },\n      { nominal: 9, mass: 9.012183065, abundance: 1 },\n      { nominal: 10, mass: 10.013534695 },\n      { nominal: 11, mass: 11.02166108 },\n      { nominal: 12, mass: 12.0269221 },\n      { nominal: 13, mass: 13.036135 },\n      { nominal: 14, mass: 14.04289 },\n      { nominal: 15, mass: 15.05342 },\n      { nominal: 16, mass: 16.06167 },\n    ],\n    symbol: 'Be',\n    mass: 9.012183065,\n    name: 'Beryllium',\n    monoisotopicMass: 9.012183065,\n  },\n  {\n    number: 5,\n    isotopes: [\n      { nominal: 6, mass: 6.0508 },\n      { nominal: 7, mass: 7.029712 },\n      { nominal: 8, mass: 8.0246073 },\n      { nominal: 9, mass: 9.01332965 },\n      { nominal: 10, mass: 10.01293695, abundance: 0.199 },\n      { nominal: 11, mass: 11.00930536, abundance: 0.801 },\n      { nominal: 12, mass: 12.0143527 },\n      { nominal: 13, mass: 13.0177802 },\n      { nominal: 14, mass: 14.025404 },\n      { nominal: 15, mass: 15.031088 },\n      { nominal: 16, mass: 16.039842 },\n      { nominal: 17, mass: 17.04699 },\n      { nominal: 18, mass: 18.05566 },\n      { nominal: 19, mass: 19.0631 },\n      { nominal: 20, mass: 20.07207 },\n      { nominal: 21, mass: 21.08129 },\n    ],\n    symbol: 'B',\n    mass: 10.811028046410001,\n    name: 'Boron',\n    monoisotopicMass: 11.00930536,\n  },\n  {\n    number: 6,\n    isotopes: [\n      { nominal: 8, mass: 8.037643 },\n      { nominal: 9, mass: 9.0310372 },\n      { nominal: 10, mass: 10.01685331 },\n      { nominal: 11, mass: 11.0114336 },\n      { nominal: 12, mass: 12, abundance: 0.9893 },\n      { nominal: 13, mass: 13.00335483507, abundance: 0.0107 },\n      { nominal: 14, mass: 14.0032419884 },\n      { nominal: 15, mass: 15.01059926 },\n      { nominal: 16, mass: 16.0147013 },\n      { nominal: 17, mass: 17.022577 },\n      { nominal: 18, mass: 18.026751 },\n      { nominal: 19, mass: 19.0348 },\n      { nominal: 20, mass: 20.04032 },\n      { nominal: 21, mass: 21.049 },\n      { nominal: 22, mass: 22.05753 },\n      { nominal: 23, mass: 23.0689 },\n    ],\n    symbol: 'C',\n    mass: 12.010735896735248,\n    name: 'Carbon',\n    monoisotopicMass: 12,\n  },\n  {\n    number: 7,\n    isotopes: [\n      { nominal: 10, mass: 10.04165 },\n      { nominal: 11, mass: 11.026091 },\n      { nominal: 12, mass: 12.0186132 },\n      { nominal: 13, mass: 13.00573861 },\n      { nominal: 14, mass: 14.00307400443, abundance: 0.99636 },\n      { nominal: 15, mass: 15.00010889888, abundance: 0.00364 },\n      { nominal: 16, mass: 16.0061019 },\n      { nominal: 17, mass: 17.008449 },\n      { nominal: 18, mass: 18.014078 },\n      { nominal: 19, mass: 19.017022 },\n      { nominal: 20, mass: 20.023366 },\n      { nominal: 21, mass: 21.02711 },\n      { nominal: 22, mass: 22.03439 },\n      { nominal: 23, mass: 23.04114 },\n      { nominal: 24, mass: 24.05039 },\n      { nominal: 25, mass: 25.0601 },\n    ],\n    symbol: 'N',\n    mass: 14.006703211445798,\n    name: 'Nitrogen',\n    monoisotopicMass: 14.00307400443,\n  },\n  {\n    number: 8,\n    isotopes: [\n      { nominal: 12, mass: 12.034262 },\n      { nominal: 13, mass: 13.024815 },\n      { nominal: 14, mass: 14.00859636 },\n      { nominal: 15, mass: 15.00306562 },\n      { nominal: 16, mass: 15.99491461957, abundance: 0.99757 },\n      { nominal: 17, mass: 16.9991317565, abundance: 0.00038 },\n      { nominal: 18, mass: 17.99915961286, abundance: 0.00205 },\n      { nominal: 19, mass: 19.003578 },\n      { nominal: 20, mass: 20.00407535 },\n      { nominal: 21, mass: 21.008655 },\n      { nominal: 22, mass: 22.009966 },\n      { nominal: 23, mass: 23.015696 },\n      { nominal: 24, mass: 24.01986 },\n      { nominal: 25, mass: 25.02936 },\n      { nominal: 26, mass: 26.03729 },\n      { nominal: 27, mass: 27.04772 },\n      { nominal: 28, mass: 28.05591 },\n    ],\n    symbol: 'O',\n    mass: 15.999404924318277,\n    name: 'Oxygen',\n    monoisotopicMass: 15.99491461957,\n  },\n  {\n    number: 9,\n    isotopes: [\n      { nominal: 14, mass: 14.034315 },\n      { nominal: 15, mass: 15.018043 },\n      { nominal: 16, mass: 16.0114657 },\n      { nominal: 17, mass: 17.00209524 },\n      { nominal: 18, mass: 18.00093733 },\n      { nominal: 19, mass: 18.99840316273, abundance: 1 },\n      { nominal: 20, mass: 19.999981252 },\n      { nominal: 21, mass: 20.9999489 },\n      { nominal: 22, mass: 22.002999 },\n      { nominal: 23, mass: 23.003557 },\n      { nominal: 24, mass: 24.008115 },\n      { nominal: 25, mass: 25.012199 },\n      { nominal: 26, mass: 26.020038 },\n      { nominal: 27, mass: 27.02644 },\n      { nominal: 28, mass: 28.03534 },\n      { nominal: 29, mass: 29.04254 },\n      { nominal: 30, mass: 30.05165 },\n      { nominal: 31, mass: 31.05971 },\n    ],\n    symbol: 'F',\n    mass: 18.99840316273,\n    name: 'Fluorine',\n    monoisotopicMass: 18.99840316273,\n  },\n  {\n    number: 10,\n    isotopes: [\n      { nominal: 16, mass: 16.02575 },\n      { nominal: 17, mass: 17.01771396 },\n      { nominal: 18, mass: 18.0057087 },\n      { nominal: 19, mass: 19.00188091 },\n      { nominal: 20, mass: 19.9924401762, abundance: 0.9048 },\n      { nominal: 21, mass: 20.993846685, abundance: 0.0027 },\n      { nominal: 22, mass: 21.991385114, abundance: 0.0925 },\n      { nominal: 23, mass: 22.99446691 },\n      { nominal: 24, mass: 23.99361065 },\n      { nominal: 25, mass: 24.997789 },\n      { nominal: 26, mass: 26.000515 },\n      { nominal: 27, mass: 27.007553 },\n      { nominal: 28, mass: 28.01212 },\n      { nominal: 29, mass: 29.01975 },\n      { nominal: 30, mass: 30.02473 },\n      { nominal: 31, mass: 31.0331 },\n      { nominal: 32, mass: 32.03972 },\n      { nominal: 33, mass: 33.04938 },\n      { nominal: 34, mass: 34.05673 },\n    ],\n    symbol: 'Ne',\n    mass: 20.18004638052026,\n    name: 'Neon',\n    monoisotopicMass: 19.9924401762,\n  },\n  {\n    number: 11,\n    isotopes: [\n      { nominal: 18, mass: 18.02688 },\n      { nominal: 19, mass: 19.01388 },\n      { nominal: 20, mass: 20.0073544 },\n      { nominal: 21, mass: 20.99765469 },\n      { nominal: 22, mass: 21.99443741 },\n      { nominal: 23, mass: 22.989769282, abundance: 1 },\n      { nominal: 24, mass: 23.99096295 },\n      { nominal: 25, mass: 24.989954 },\n      { nominal: 26, mass: 25.9926346 },\n      { nominal: 27, mass: 26.9940765 },\n      { nominal: 28, mass: 27.998939 },\n      { nominal: 29, mass: 29.0028771 },\n      { nominal: 30, mass: 30.0090979 },\n      { nominal: 31, mass: 31.013163 },\n      { nominal: 32, mass: 32.02019 },\n      { nominal: 33, mass: 33.02573 },\n      { nominal: 34, mass: 34.03359 },\n      { nominal: 35, mass: 35.04062 },\n      { nominal: 36, mass: 36.04929 },\n      { nominal: 37, mass: 37.05705 },\n    ],\n    symbol: 'Na',\n    mass: 22.989769282,\n    name: 'Sodium',\n    monoisotopicMass: 22.989769282,\n  },\n  {\n    number: 12,\n    isotopes: [\n      { nominal: 19, mass: 19.034169 },\n      { nominal: 20, mass: 20.01885 },\n      { nominal: 21, mass: 21.011716 },\n      { nominal: 22, mass: 21.99957065 },\n      { nominal: 23, mass: 22.99412421 },\n      { nominal: 24, mass: 23.985041697, abundance: 0.7899 },\n      { nominal: 25, mass: 24.985836976, abundance: 0.1 },\n      { nominal: 26, mass: 25.982592968, abundance: 0.1101 },\n      { nominal: 27, mass: 26.984340624 },\n      { nominal: 28, mass: 27.9838767 },\n      { nominal: 29, mass: 28.988617 },\n      { nominal: 30, mass: 29.9904629 },\n      { nominal: 31, mass: 30.996648 },\n      { nominal: 32, mass: 31.9991102 },\n      { nominal: 33, mass: 33.0053271 },\n      { nominal: 34, mass: 34.008935 },\n      { nominal: 35, mass: 35.01679 },\n      { nominal: 36, mass: 36.02188 },\n      { nominal: 37, mass: 37.03037 },\n      { nominal: 38, mass: 38.03658 },\n      { nominal: 39, mass: 39.04538 },\n      { nominal: 40, mass: 40.05218 },\n    ],\n    symbol: 'Mg',\n    mass: 24.3050516198371,\n    name: 'Magnesium',\n    monoisotopicMass: 23.985041697,\n  },\n  {\n    number: 13,\n    isotopes: [\n      { nominal: 21, mass: 21.02897 },\n      { nominal: 22, mass: 22.01954 },\n      { nominal: 23, mass: 23.00724435 },\n      { nominal: 24, mass: 23.9999489 },\n      { nominal: 25, mass: 24.9904281 },\n      { nominal: 26, mass: 25.986891904 },\n      { nominal: 27, mass: 26.98153853, abundance: 1 },\n      { nominal: 28, mass: 27.98191021 },\n      { nominal: 29, mass: 28.9804565 },\n      { nominal: 30, mass: 29.98296 },\n      { nominal: 31, mass: 30.983945 },\n      { nominal: 32, mass: 31.988085 },\n      { nominal: 33, mass: 32.990909 },\n      { nominal: 34, mass: 33.996705 },\n      { nominal: 35, mass: 34.999764 },\n      { nominal: 36, mass: 36.00639 },\n      { nominal: 37, mass: 37.01053 },\n      { nominal: 38, mass: 38.0174 },\n      { nominal: 39, mass: 39.02254 },\n      { nominal: 40, mass: 40.03003 },\n      { nominal: 41, mass: 41.03638 },\n      { nominal: 42, mass: 42.04384 },\n      { nominal: 43, mass: 43.05147 },\n    ],\n    symbol: 'Al',\n    mass: 26.98153853,\n    name: 'Aluminium',\n    monoisotopicMass: 26.98153853,\n  },\n  {\n    number: 14,\n    isotopes: [\n      { nominal: 22, mass: 22.03579 },\n      { nominal: 23, mass: 23.02544 },\n      { nominal: 24, mass: 24.011535 },\n      { nominal: 25, mass: 25.004109 },\n      { nominal: 26, mass: 25.99233384 },\n      { nominal: 27, mass: 26.98670481 },\n      { nominal: 28, mass: 27.97692653465, abundance: 0.92223 },\n      { nominal: 29, mass: 28.9764946649, abundance: 0.04685 },\n      { nominal: 30, mass: 29.973770136, abundance: 0.03092 },\n      { nominal: 31, mass: 30.975363194 },\n      { nominal: 32, mass: 31.97415154 },\n      { nominal: 33, mass: 32.97797696 },\n      { nominal: 34, mass: 33.978576 },\n      { nominal: 35, mass: 34.984583 },\n      { nominal: 36, mass: 35.986695 },\n      { nominal: 37, mass: 36.992921 },\n      { nominal: 38, mass: 37.995523 },\n      { nominal: 39, mass: 39.002491 },\n      { nominal: 40, mass: 40.00583 },\n      { nominal: 41, mass: 41.01301 },\n      { nominal: 42, mass: 42.01778 },\n      { nominal: 43, mass: 43.0248 },\n      { nominal: 44, mass: 44.03061 },\n      { nominal: 45, mass: 45.03995 },\n    ],\n    symbol: 'Si',\n    mass: 28.085498705705955,\n    name: 'Silicon',\n    monoisotopicMass: 27.97692653465,\n  },\n  {\n    number: 15,\n    isotopes: [\n      { nominal: 24, mass: 24.03577 },\n      { nominal: 25, mass: 25.02119 },\n      { nominal: 26, mass: 26.01178 },\n      { nominal: 27, mass: 26.999224 },\n      { nominal: 28, mass: 27.9923266 },\n      { nominal: 29, mass: 28.98180079 },\n      { nominal: 30, mass: 29.97831375 },\n      { nominal: 31, mass: 30.97376199842, abundance: 1 },\n      { nominal: 32, mass: 31.973907643 },\n      { nominal: 33, mass: 32.9717257 },\n      { nominal: 34, mass: 33.97364589 },\n      { nominal: 35, mass: 34.9733141 },\n      { nominal: 36, mass: 35.97826 },\n      { nominal: 37, mass: 36.979607 },\n      { nominal: 38, mass: 37.984252 },\n      { nominal: 39, mass: 38.986227 },\n      { nominal: 40, mass: 39.99133 },\n      { nominal: 41, mass: 40.994654 },\n      { nominal: 42, mass: 42.00108 },\n      { nominal: 43, mass: 43.00502 },\n      { nominal: 44, mass: 44.01121 },\n      { nominal: 45, mass: 45.01645 },\n      { nominal: 46, mass: 46.02446 },\n      { nominal: 47, mass: 47.03139 },\n    ],\n    symbol: 'P',\n    mass: 30.97376199842,\n    name: 'Phosphorus',\n    monoisotopicMass: 30.97376199842,\n  },\n  {\n    number: 16,\n    isotopes: [\n      { nominal: 26, mass: 26.02907 },\n      { nominal: 27, mass: 27.01828 },\n      { nominal: 28, mass: 28.00437 },\n      { nominal: 29, mass: 28.996611 },\n      { nominal: 30, mass: 29.98490703 },\n      { nominal: 31, mass: 30.97955701 },\n      { nominal: 32, mass: 31.9720711744, abundance: 0.9499 },\n      { nominal: 33, mass: 32.9714589098, abundance: 0.0075 },\n      { nominal: 34, mass: 33.967867004, abundance: 0.0425 },\n      { nominal: 35, mass: 34.96903231 },\n      { nominal: 36, mass: 35.96708071, abundance: 0.0001 },\n      { nominal: 37, mass: 36.97112551 },\n      { nominal: 38, mass: 37.9711633 },\n      { nominal: 39, mass: 38.975134 },\n      { 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abundance: 0.2424 },\n      { nominal: 38, mass: 37.96801044 },\n      { nominal: 39, mass: 38.9680082 },\n      { nominal: 40, mass: 39.970415 },\n      { nominal: 41, mass: 40.970685 },\n      { nominal: 42, mass: 41.97325 },\n      { nominal: 43, mass: 42.97389 },\n      { nominal: 44, mass: 43.97787 },\n      { nominal: 45, mass: 44.98029 },\n      { nominal: 46, mass: 45.98517 },\n      { nominal: 47, mass: 46.98916 },\n      { nominal: 48, mass: 47.99564 },\n      { nominal: 49, mass: 49.00123 },\n      { nominal: 50, mass: 50.00905 },\n      { nominal: 51, mass: 51.01554 },\n    ],\n    symbol: 'Cl',\n    mass: 35.452937582608,\n    name: 'Chlorine',\n    monoisotopicMass: 34.968852682,\n  },\n  {\n    number: 18,\n    isotopes: [\n      { nominal: 30, mass: 30.02307 },\n      { nominal: 31, mass: 31.01212 },\n      { nominal: 32, mass: 31.9976378 },\n      { nominal: 33, mass: 32.98992555 },\n      { nominal: 34, mass: 33.98027009 },\n      { nominal: 35, mass: 34.97525759 },\n      { nominal: 36, mass: 35.967545105, abundance: 0.003336 },\n      { nominal: 37, mass: 36.96677633 },\n      { nominal: 38, mass: 37.96273211, abundance: 0.000629 },\n      { nominal: 39, mass: 38.964313 },\n      { nominal: 40, mass: 39.9623831237, abundance: 0.996035 },\n      { nominal: 41, mass: 40.96450057 },\n      { nominal: 42, mass: 41.9630457 },\n      { nominal: 43, mass: 42.9656361 },\n      { nominal: 44, mass: 43.9649238 },\n      { nominal: 45, mass: 44.96803973 },\n      { nominal: 46, mass: 45.968083 },\n      { nominal: 47, mass: 46.972935 },\n      { nominal: 48, mass: 47.97591 },\n      { nominal: 49, mass: 48.9819 },\n      { nominal: 50, mass: 49.98613 },\n      { nominal: 51, mass: 50.9937 },\n      { nominal: 52, mass: 51.99896 },\n      { nominal: 53, mass: 53.00729 },\n    ],\n    symbol: 'Ar',\n    mass: 39.947798563582005,\n    name: 'Argon',\n    monoisotopicMass: 39.9623831237,\n  },\n  {\n    number: 19,\n    isotopes: [\n      { nominal: 32, mass: 32.02265 },\n      { nominal: 33, mass: 33.00756 },\n      { nominal: 34, mass: 33.99869 },\n      { nominal: 35, mass: 34.98800541 },\n      { nominal: 36, mass: 35.98130201 },\n      { nominal: 37, mass: 36.97337589 },\n      { nominal: 38, mass: 37.96908112 },\n      { nominal: 39, mass: 38.9637064864, abundance: 0.932581 },\n      { nominal: 40, mass: 39.963998166, abundance: 0.000117 },\n      { nominal: 41, mass: 40.9618252579, abundance: 0.067302 },\n      { nominal: 42, mass: 41.96240231 },\n      { nominal: 43, mass: 42.9607347 },\n      { nominal: 44, mass: 43.96158699 },\n      { nominal: 45, mass: 44.96069149 },\n      { nominal: 46, mass: 45.96198159 },\n      { nominal: 47, mass: 46.9616616 },\n      { nominal: 48, mass: 47.96534119 },\n      { nominal: 49, mass: 48.96821075 },\n      { nominal: 50, mass: 49.97238 },\n      { nominal: 51, mass: 50.975828 },\n      { nominal: 52, mass: 51.98224 },\n      { nominal: 53, mass: 52.98746 },\n      { nominal: 54, mass: 53.99463 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     { nominal: 49, mass: 48.95566274 },\n      { nominal: 50, mass: 49.9574992 },\n      { nominal: 51, mass: 50.960989 },\n      { nominal: 52, mass: 51.963217 },\n      { nominal: 53, mass: 52.96945 },\n      { nominal: 54, mass: 53.9734 },\n      { nominal: 55, mass: 54.9803 },\n      { nominal: 56, mass: 55.98508 },\n      { nominal: 57, mass: 56.99262 },\n      { nominal: 58, mass: 57.99794 },\n    ],\n    symbol: 'Ca',\n    mass: 40.078022511017735,\n    name: 'Calcium',\n    monoisotopicMass: 39.962590863,\n  },\n  {\n    number: 21,\n    isotopes: [\n      { nominal: 36, mass: 36.01648 },\n      { nominal: 37, mass: 37.00374 },\n      { nominal: 38, mass: 37.99512 },\n      { nominal: 39, mass: 38.984785 },\n      { nominal: 40, mass: 39.9779673 },\n      { nominal: 41, mass: 40.969251105 },\n      { nominal: 42, mass: 41.96551653 },\n      { nominal: 43, mass: 42.9611505 },\n      { nominal: 44, mass: 43.9594029 },\n      { nominal: 45, mass: 44.95590828, abundance: 1 },\n    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},\n      { nominal: 43, mass: 42.9685225 },\n      { nominal: 44, mass: 43.95968995 },\n      { nominal: 45, mass: 44.95812198 },\n      { nominal: 46, mass: 45.95262772, abundance: 0.0825 },\n      { nominal: 47, mass: 46.95175879, abundance: 0.0744 },\n      { nominal: 48, mass: 47.94794198, abundance: 0.7372 },\n      { nominal: 49, mass: 48.94786568, abundance: 0.0541 },\n      { nominal: 50, mass: 49.94478689, abundance: 0.0518 },\n      { nominal: 51, mass: 50.94661065 },\n      { nominal: 52, mass: 51.946893 },\n      { nominal: 53, mass: 52.94973 },\n      { nominal: 54, mass: 53.95105 },\n      { nominal: 55, mass: 54.95527 },\n      { nominal: 56, mass: 55.95791 },\n      { nominal: 57, mass: 56.96364 },\n      { nominal: 58, mass: 57.9666 },\n      { nominal: 59, mass: 58.97247 },\n      { nominal: 60, mass: 59.97603 },\n      { nominal: 61, mass: 60.98245 },\n      { nominal: 62, mass: 61.98651 },\n      { nominal: 63, mass: 62.99375 },\n    ],\n    symbol: 'Ti',\n    mass: 47.866744962721995,\n    name: 'Titanium',\n    monoisotopicMass: 47.94794198,\n  },\n  {\n    number: 23,\n    isotopes: [\n      { nominal: 40, mass: 40.01276 },\n      { nominal: 41, mass: 41.00021 },\n      { nominal: 42, mass: 41.99182 },\n      { nominal: 43, mass: 42.980766 },\n      { nominal: 44, mass: 43.97411 },\n      { nominal: 45, mass: 44.9657748 },\n      { nominal: 46, mass: 45.96019878 },\n      { nominal: 47, mass: 46.95490491 },\n      { nominal: 48, mass: 47.9522522 },\n      { nominal: 49, mass: 48.9485118 },\n      { nominal: 50, mass: 49.94715601, abundance: 0.0025 },\n      { nominal: 51, mass: 50.94395704, abundance: 0.9975 },\n      { nominal: 52, mass: 51.94477301 },\n      { nominal: 53, mass: 52.9443367 },\n      { nominal: 54, mass: 53.946439 },\n      { nominal: 55, mass: 54.94724 },\n      { nominal: 56, mass: 55.95048 },\n      { nominal: 57, mass: 56.95252 },\n      { nominal: 58, mass: 57.95672 },\n      { nominal: 59, mass: 58.95939 },\n      { nominal: 60, mass: 59.96431 },\n      { nominal: 61, mass: 60.96725 },\n      { nominal: 62, mass: 61.97265 },\n      { nominal: 63, mass: 62.97639 },\n      { nominal: 64, mass: 63.98264 },\n      { nominal: 65, mass: 64.9875 },\n      { nominal: 66, mass: 65.99398 },\n    ],\n    symbol: 'V',\n    mass: 50.941465037425004,\n    name: 'Vanadium',\n    monoisotopicMass: 50.94395704,\n  },\n  {\n    number: 24,\n    isotopes: [\n      { nominal: 42, mass: 42.0067 },\n      { nominal: 43, mass: 42.99753 },\n      { nominal: 44, mass: 43.98536 },\n      { nominal: 45, mass: 44.97905 },\n      { nominal: 46, mass: 45.968359 },\n      { nominal: 47, mass: 46.9628974 },\n      { nominal: 48, mass: 47.9540291 },\n      { nominal: 49, mass: 48.9513333 },\n      { nominal: 50, mass: 49.94604183, abundance: 0.04345 },\n      { nominal: 51, mass: 50.94476502 },\n      { nominal: 52, mass: 51.94050623, abundance: 0.83789 },\n      { nominal: 53, mass: 52.94064815, abundance: 0.09501 },\n      { nominal: 54, mass: 53.93887916, abundance: 0.02365 },\n      { nominal: 55, mass: 54.94083843 },\n      { nominal: 56, mass: 55.9406531 },\n      { nominal: 57, mass: 56.943613 },\n      { nominal: 58, mass: 57.94435 },\n      { nominal: 59, mass: 58.94859 },\n      { nominal: 60, mass: 59.95008 },\n      { nominal: 61, mass: 60.95442 },\n      { nominal: 62, mass: 61.9561 },\n      { nominal: 63, mass: 62.96165 },\n      { nominal: 64, mass: 63.96408 },\n      { nominal: 65, mass: 64.96996 },\n      { nominal: 66, mass: 65.97366 },\n      { nominal: 67, mass: 66.98016 },\n      { nominal: 68, mass: 67.98403 },\n    ],\n    symbol: 'Cr',\n    mass: 51.9961317554337,\n    name: 'Chromium',\n    monoisotopicMass: 51.94050623,\n  },\n  {\n    number: 25,\n    isotopes: [\n      { nominal: 44, mass: 44.00715 },\n      { nominal: 45, mass: 44.99449 },\n      { nominal: 46, mass: 45.98609 },\n      { nominal: 47, mass: 46.975775 },\n      { nominal: 48, mass: 47.96852 },\n      { nominal: 49, mass: 48.959595 },\n      { nominal: 50, mass: 49.95423778 },\n      { nominal: 51, mass: 50.94820847 },\n      { nominal: 52, mass: 51.9455639 },\n      { nominal: 53, mass: 52.94128889 },\n      { nominal: 54, mass: 53.9403576 },\n      { nominal: 55, mass: 54.93804391, abundance: 1 },\n      { nominal: 56, mass: 55.93890369 },\n      { nominal: 57, mass: 56.9382861 },\n      { nominal: 58, mass: 57.9400666 },\n      { nominal: 59, mass: 58.9403911 },\n      { nominal: 60, mass: 59.9431366 },\n      { nominal: 61, mass: 60.9444525 },\n      { nominal: 62, mass: 61.94795 },\n      { nominal: 63, mass: 62.9496647 },\n      { nominal: 64, mass: 63.9538494 },\n      { nominal: 65, mass: 64.9560198 },\n      { nominal: 66, mass: 65.960547 },\n      { nominal: 67, mass: 66.96424 },\n      { nominal: 68, mass: 67.96962 },\n      { nominal: 69, mass: 68.97366 },\n      { nominal: 70, mass: 69.97937 },\n      { nominal: 71, mass: 70.98368 },\n    ],\n    symbol: 'Mn',\n    mass: 54.93804391,\n    name: 'Manganese',\n    monoisotopicMass: 54.93804391,\n  },\n  {\n    number: 26,\n    isotopes: [\n      { nominal: 45, mass: 45.01442 },\n      { nominal: 46, mass: 46.00063 },\n      { nominal: 47, mass: 46.99185 },\n      { nominal: 48, mass: 47.98023 },\n      { nominal: 49, mass: 48.973429 },\n      { nominal: 50, mass: 49.962975 },\n      { nominal: 51, mass: 50.956841 },\n      { nominal: 52, mass: 51.9481131 },\n      { nominal: 53, mass: 52.9453064 },\n      { nominal: 54, mass: 53.93960899, abundance: 0.05845 },\n      { nominal: 55, mass: 54.93829199 },\n      { nominal: 56, mass: 55.93493633, abundance: 0.91754 },\n      { nominal: 57, mass: 56.93539284, abundance: 0.02119 },\n      { nominal: 58, mass: 57.93327443, abundance: 0.00282 },\n      { nominal: 59, mass: 58.93487434 },\n      { nominal: 60, mass: 59.9340711 },\n      { nominal: 61, mass: 60.9367462 },\n      { nominal: 62, mass: 61.9367918 },\n      { nominal: 63, mass: 62.9402727 },\n      { nominal: 64, mass: 63.9409878 },\n      { nominal: 65, mass: 64.9450115 },\n      { nominal: 66, mass: 65.94625 },\n      { nominal: 67, mass: 66.95054 },\n      { nominal: 68, mass: 67.95295 },\n      { nominal: 69, mass: 68.95807 },\n      { nominal: 70, mass: 69.96102 },\n      { nominal: 71, mass: 70.96672 },\n      { nominal: 72, mass: 71.96983 },\n      { nominal: 73, mass: 72.97572 },\n      { nominal: 74, mass: 73.97935 },\n    ],\n    symbol: 'Fe',\n    mass: 55.845144433865904,\n    name: 'Iron',\n    monoisotopicMass: 55.93493633,\n  },\n  {\n    number: 27,\n    isotopes: [\n      { nominal: 47, mass: 47.01057 },\n      { nominal: 48, mass: 48.00093 },\n      { nominal: 49, mass: 48.98891 },\n      { nominal: 50, mass: 49.98091 },\n      { nominal: 51, mass: 50.970647 },\n      { nominal: 52, mass: 51.96351 },\n      { nominal: 53, mass: 52.9542041 },\n      { nominal: 54, mass: 53.94845987 },\n      { nominal: 55, mass: 54.9419972 },\n      { nominal: 56, mass: 55.9398388 },\n      { nominal: 57, mass: 56.93629057 },\n      { nominal: 58, mass: 57.9357521 },\n      { nominal: 59, mass: 58.93319429, abundance: 1 },\n      { nominal: 60, mass: 59.9338163 },\n      { nominal: 61, mass: 60.93247662 },\n      { nominal: 62, mass: 61.934059 },\n      { nominal: 63, mass: 62.9336 },\n      { nominal: 64, mass: 63.935811 },\n      { nominal: 65, mass: 64.9364621 },\n      { nominal: 66, mass: 65.939443 },\n      { nominal: 67, mass: 66.9406096 },\n      { nominal: 68, mass: 67.94426 },\n      { nominal: 69, mass: 68.94614 },\n      { nominal: 70, mass: 69.94963 },\n      { nominal: 71, mass: 70.95237 },\n      { nominal: 72, mass: 71.95729 },\n      { nominal: 73, mass: 72.96039 },\n      { nominal: 74, mass: 73.96515 },\n      { nominal: 75, mass: 74.96876 },\n      { nominal: 76, mass: 75.97413 },\n    ],\n    symbol: 'Co',\n    mass: 58.93319429,\n    name: 'Cobalt',\n    monoisotopicMass: 58.93319429,\n  },\n  {\n    number: 28,\n    isotopes: [\n      { nominal: 48, mass: 48.01769 },\n      { nominal: 49, mass: 49.0077 },\n      { nominal: 50, mass: 49.99474 },\n      { nominal: 51, mass: 50.98611 },\n      { nominal: 52, mass: 51.9748 },\n      { nominal: 53, mass: 52.96819 },\n      { nominal: 54, mass: 53.957892 },\n      { nominal: 55, mass: 54.95133063 },\n      { nominal: 56, mass: 55.94212855 },\n      { nominal: 57, mass: 56.93979218 },\n      { nominal: 58, mass: 57.93534241, abundance: 0.68077 },\n      { nominal: 59, mass: 58.9343462 },\n      { nominal: 60, mass: 59.93078588, abundance: 0.26223 },\n      { nominal: 61, mass: 60.93105557, abundance: 0.011399 },\n      { nominal: 62, mass: 61.92834537, abundance: 0.036346 },\n      { nominal: 63, mass: 62.92966963 },\n      { nominal: 64, mass: 63.92796682, abundance: 0.009255 },\n      { nominal: 65, mass: 64.93008517 },\n      { nominal: 66, mass: 65.9291393 },\n      { nominal: 67, mass: 66.9315694 },\n      { nominal: 68, mass: 67.9318688 },\n      { nominal: 69, mass: 68.9356103 },\n      { nominal: 70, mass: 69.9364313 },\n      { nominal: 71, mass: 70.940519 },\n      { nominal: 72, mass: 71.9417859 },\n      { nominal: 73, mass: 72.9462067 },\n      { nominal: 74, mass: 73.94798 },\n      { nominal: 75, mass: 74.9525 },\n      { nominal: 76, mass: 75.95533 },\n      { nominal: 77, mass: 76.96055 },\n      { nominal: 78, mass: 77.96336 },\n      { nominal: 79, mass: 78.97025 },\n    ],\n    symbol: 'Ni',\n    mass: 58.69334710994765,\n    name: 'Nickel',\n    monoisotopicMass: 57.93534241,\n  },\n  {\n    number: 29,\n    isotopes: [\n      { nominal: 52, mass: 51.99671 },\n      { nominal: 53, mass: 52.98459 },\n      { nominal: 54, mass: 53.97666 },\n      { nominal: 55, mass: 54.96604 },\n      { nominal: 56, mass: 55.95895 },\n      { nominal: 57, mass: 56.9492125 },\n      { nominal: 58, mass: 57.94453305 },\n      { nominal: 59, mass: 58.93949748 },\n      { nominal: 60, mass: 59.9373645 },\n      { nominal: 61, mass: 60.9334576 },\n      { 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62.92959772,\n  },\n  {\n    number: 30,\n    isotopes: [\n      { nominal: 54, mass: 53.99204 },\n      { nominal: 55, mass: 54.98398 },\n      { nominal: 56, mass: 55.97254 },\n      { nominal: 57, mass: 56.96506 },\n      { nominal: 58, mass: 57.954591 },\n      { nominal: 59, mass: 58.94931266 },\n      { nominal: 60, mass: 59.9418421 },\n      { nominal: 61, mass: 60.939507 },\n      { nominal: 62, mass: 61.93433397 },\n      { nominal: 63, mass: 62.9332115 },\n      { nominal: 64, mass: 63.92914201, abundance: 0.4917 },\n      { nominal: 65, mass: 64.92924077 },\n      { nominal: 66, mass: 65.92603381, abundance: 0.2773 },\n      { nominal: 67, mass: 66.92712775, abundance: 0.0404 },\n      { nominal: 68, mass: 67.92484455, abundance: 0.1845 },\n      { nominal: 69, mass: 68.9265507 },\n      { nominal: 70, mass: 69.9253192, abundance: 0.0061 },\n      { nominal: 71, mass: 70.9277196 },\n      { nominal: 72, mass: 71.9268428 },\n      { nominal: 73, mass: 72.9295826 },\n      { 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mass: 86.96824 },\n    ],\n    symbol: 'Ga',\n    mass: 69.7230660725936,\n    name: 'Gallium',\n    monoisotopicMass: 68.9255735,\n  },\n  {\n    number: 32,\n    isotopes: [\n      { nominal: 58, mass: 57.99172 },\n      { nominal: 59, mass: 58.98249 },\n      { nominal: 60, mass: 59.97036 },\n      { nominal: 61, mass: 60.96379 },\n      { nominal: 62, mass: 61.95502 },\n      { nominal: 63, mass: 62.949628 },\n      { nominal: 64, mass: 63.9416899 },\n      { nominal: 65, mass: 64.9393681 },\n      { nominal: 66, mass: 65.9338621 },\n      { nominal: 67, mass: 66.9327339 },\n      { nominal: 68, mass: 67.9280953 },\n      { nominal: 69, mass: 68.9279645 },\n      { nominal: 70, mass: 69.92424875, abundance: 0.2057 },\n      { nominal: 71, mass: 70.92495233 },\n      { nominal: 72, mass: 71.922075826, abundance: 0.2745 },\n      { nominal: 73, mass: 72.923458956, abundance: 0.0775 },\n      { nominal: 74, mass: 73.921177761, abundance: 0.365 },\n      { nominal: 75, mass: 74.92285837 },\n      { nominal: 76, mass: 75.921402726, abundance: 0.0773 },\n      { nominal: 77, mass: 76.923549843 },\n      { nominal: 78, mass: 77.9228529 },\n      { nominal: 79, mass: 78.92536 },\n      { nominal: 80, mass: 79.9253508 },\n      { nominal: 81, mass: 80.9288329 },\n      { nominal: 82, mass: 81.929774 },\n      { nominal: 83, mass: 82.9345391 },\n      { nominal: 84, mass: 83.9375751 },\n      { nominal: 85, mass: 84.9429697 },\n      { nominal: 86, mass: 85.94658 },\n      { nominal: 87, mass: 86.95268 },\n      { nominal: 88, mass: 87.95691 },\n      { nominal: 89, mass: 88.96379 },\n      { nominal: 90, mass: 89.96863 },\n    ],\n    symbol: 'Ge',\n    mass: 72.6275501646868,\n    name: 'Germanium',\n    monoisotopicMass: 73.921177761,\n  },\n  {\n    number: 33,\n    isotopes: [\n      { nominal: 60, mass: 59.99388 },\n      { nominal: 61, mass: 60.98112 },\n      { nominal: 62, mass: 61.97361 },\n      { nominal: 63, mass: 62.9639 },\n      { nominal: 64, mass: 63.95743 },\n      { nominal: 65, mass: 64.949611 },\n      { nominal: 66, mass: 65.9441488 },\n      { nominal: 67, mass: 66.93925111 },\n      { nominal: 68, mass: 67.9367741 },\n      { nominal: 69, mass: 68.932246 },\n      { nominal: 70, mass: 69.930926 },\n      { nominal: 71, mass: 70.9271138 },\n      { nominal: 72, mass: 71.9267523 },\n      { nominal: 73, mass: 72.9238291 },\n      { nominal: 74, mass: 73.9239286 },\n      { nominal: 75, mass: 74.92159457, abundance: 1 },\n      { nominal: 76, mass: 75.92239202 },\n      { nominal: 77, mass: 76.9206476 },\n      { nominal: 78, mass: 77.921828 },\n      { nominal: 79, mass: 78.9209484 },\n      { nominal: 80, mass: 79.9224746 },\n      { nominal: 81, mass: 80.9221323 },\n      { nominal: 82, mass: 81.9247412 },\n      { nominal: 83, mass: 82.9252069 },\n      { nominal: 84, mass: 83.9293033 },\n      { nominal: 85, mass: 84.9321637 },\n      { nominal: 86, mass: 85.9367015 },\n      { nominal: 87, mass: 86.9402917 },\n      { nominal: 88, mass: 87.94555 },\n      { nominal: 89, mass: 88.94976 },\n      { nominal: 90, mass: 89.95563 },\n      { nominal: 91, mass: 90.96039 },\n      { nominal: 92, mass: 91.96674 },\n    ],\n    symbol: 'As',\n    mass: 74.92159457,\n    name: 'Arsenic',\n    monoisotopicMass: 74.92159457,\n  },\n  {\n    number: 34,\n    isotopes: [\n      { nominal: 64, mass: 63.97109 },\n      { nominal: 65, mass: 64.9644 },\n      { nominal: 66, mass: 65.95559 },\n      { nominal: 67, mass: 66.949994 },\n      { nominal: 68, mass: 67.94182524 },\n      { nominal: 69, mass: 68.9394148 },\n      { nominal: 70, mass: 69.9335155 },\n      { nominal: 71, mass: 70.9322094 },\n      { nominal: 72, mass: 71.9271405 },\n      { nominal: 73, mass: 72.9267549 },\n      { nominal: 74, mass: 73.922475934, abundance: 0.0089 },\n      { nominal: 75, mass: 74.92252287 },\n      { nominal: 76, mass: 75.919213704, abundance: 0.0937 },\n      { nominal: 77, mass: 76.919914154, abundance: 0.0763 },\n      { nominal: 78, mass: 77.91730928, abundance: 0.2377 },\n      { nominal: 79, mass: 78.91849929 },\n      { nominal: 80, mass: 79.9165218, abundance: 0.4961 },\n      { nominal: 81, mass: 80.917993 },\n      { nominal: 82, mass: 81.9166995, abundance: 0.0873 },\n      { nominal: 83, mass: 82.9191186 },\n      { nominal: 84, mass: 83.9184668 },\n      { nominal: 85, mass: 84.9222608 },\n      { nominal: 86, mass: 85.9243117 },\n      { nominal: 87, mass: 86.9286886 },\n      { nominal: 88, mass: 87.9314175 },\n      { nominal: 89, mass: 88.9366691 },\n      { nominal: 90, mass: 89.9401 },\n      { nominal: 91, mass: 90.94596 },\n      { nominal: 92, mass: 91.94984 },\n      { nominal: 93, mass: 92.95629 },\n      { nominal: 94, mass: 93.96049 },\n      { nominal: 95, mass: 94.9673 },\n    ],\n    symbol: 'Se',\n    mass: 78.95938855701361,\n    name: 'Selenium',\n    monoisotopicMass: 79.9165218,\n  },\n  {\n    number: 35,\n    isotopes: [\n      { nominal: 67, mass: 66.96465 },\n      { nominal: 68, mass: 67.95873 },\n      { nominal: 69, mass: 68.950497 },\n      { nominal: 70, mass: 69.944792 },\n      { nominal: 71, mass: 70.9393422 },\n      { nominal: 72, mass: 71.9365886 },\n      { nominal: 73, mass: 72.9316715 },\n      { nominal: 74, mass: 73.9299102 },\n      { nominal: 75, mass: 74.9258105 },\n      { nominal: 76, mass: 75.924542 },\n      { nominal: 77, mass: 76.9213792 },\n      { nominal: 78, mass: 77.9211459 },\n      { nominal: 79, mass: 78.9183376, abundance: 0.5069 },\n      { nominal: 80, mass: 79.9185298 },\n      { nominal: 81, mass: 80.9162897, abundance: 0.4931 },\n      { nominal: 82, mass: 81.9168032 },\n      { nominal: 83, mass: 82.9151756 },\n      { nominal: 84, mass: 83.916496 },\n      { nominal: 85, mass: 84.9156458 },\n      { nominal: 86, mass: 85.9188054 },\n      { nominal: 87, mass: 86.920674 },\n      { nominal: 88, mass: 87.9240833 },\n      { nominal: 89, mass: 88.9267046 },\n      { nominal: 90, mass: 89.9312928 },\n      { 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0.02286 },\n      { nominal: 81, mass: 80.9165912 },\n      { nominal: 82, mass: 81.91348273, abundance: 0.11593 },\n      { nominal: 83, mass: 82.91412716, abundance: 0.115 },\n      { nominal: 84, mass: 83.9114977282, abundance: 0.56987 },\n      { nominal: 85, mass: 84.9125273 },\n      { nominal: 86, mass: 85.9106106269, abundance: 0.17279 },\n      { nominal: 87, mass: 86.91335476 },\n      { nominal: 88, mass: 87.9144479 },\n      { nominal: 89, mass: 88.9178355 },\n      { nominal: 90, mass: 89.9195279 },\n      { nominal: 91, mass: 90.9238063 },\n      { nominal: 92, mass: 91.9261731 },\n      { nominal: 93, mass: 92.9311472 },\n      { nominal: 94, mass: 93.93414 },\n      { nominal: 95, mass: 94.939711 },\n      { nominal: 96, mass: 95.943017 },\n      { nominal: 97, mass: 96.94909 },\n      { nominal: 98, mass: 97.95243 },\n      { nominal: 99, mass: 98.95839 },\n      { nominal: 100, mass: 99.96237 },\n      { nominal: 101, mass: 100.96873 },\n    ],\n    symbol: 'Kr',\n    mass: 83.7979999953261,\n    name: 'Krypton',\n    monoisotopicMass: 83.9114977282,\n  },\n  {\n    number: 37,\n    isotopes: [\n      { nominal: 71, mass: 70.96532 },\n      { nominal: 72, mass: 71.95908 },\n      { nominal: 73, mass: 72.95053 },\n      { nominal: 74, mass: 73.9442659 },\n      { nominal: 75, mass: 74.9385732 },\n      { nominal: 76, mass: 75.935073 },\n      { nominal: 77, mass: 76.9304016 },\n      { nominal: 78, mass: 77.9281419 },\n      { nominal: 79, mass: 78.9239899 },\n      { nominal: 80, mass: 79.9225164 },\n      { nominal: 81, mass: 80.9189939 },\n      { nominal: 82, mass: 81.918209 },\n      { nominal: 83, mass: 82.9151142 },\n      { nominal: 84, mass: 83.9143752 },\n      { nominal: 85, mass: 84.9117897379, abundance: 0.7217 },\n      { nominal: 86, mass: 85.91116743 },\n      { nominal: 87, mass: 86.909180531, abundance: 0.2783 },\n      { nominal: 88, mass: 87.91131559 },\n      { nominal: 89, mass: 88.9122783 },\n      { nominal: 90, mass: 89.9147985 },\n      { nominal: 91, mass: 90.9165372 },\n      { nominal: 92, mass: 91.9197284 },\n      { nominal: 93, mass: 92.9220393 },\n      { nominal: 94, mass: 93.9263948 },\n      { nominal: 95, mass: 94.92926 },\n      { nominal: 96, mass: 95.9341334 },\n      { nominal: 97, mass: 96.9371771 },\n      { nominal: 98, mass: 97.9416869 },\n      { nominal: 99, mass: 98.94503 },\n      { nominal: 100, mass: 99.95003 },\n      { nominal: 101, mass: 100.95404 },\n      { nominal: 102, mass: 101.95952 },\n      { nominal: 103, mass: 102.96392 },\n    ],\n    symbol: 'Rb',\n    mass: 85.46766359561973,\n    name: 'Rubidium',\n    monoisotopicMass: 84.9117897379,\n  },\n  {\n    number: 38,\n    isotopes: [\n      { nominal: 73, mass: 72.9657 },\n      { nominal: 74, mass: 73.95617 },\n      { nominal: 75, mass: 74.94995 },\n      { nominal: 76, mass: 75.941763 },\n      { nominal: 77, mass: 76.9379455 },\n      { nominal: 78, mass: 77.93218 },\n      { nominal: 79, mass: 78.9297077 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   { nominal: 102, mass: 101.943791 },\n      { nominal: 103, mass: 102.94909 },\n      { nominal: 104, mass: 103.95265 },\n      { nominal: 105, mass: 104.95855 },\n      { nominal: 106, mass: 105.96265 },\n      { nominal: 107, mass: 106.96897 },\n    ],\n    symbol: 'Sr',\n    mass: 87.61664446962,\n    name: 'Strontium',\n    monoisotopicMass: 87.9056125,\n  },\n  {\n    number: 39,\n    isotopes: [\n      { nominal: 76, mass: 75.95856 },\n      { nominal: 77, mass: 76.949781 },\n      { nominal: 78, mass: 77.94361 },\n      { nominal: 79, mass: 78.93735 },\n      { nominal: 80, mass: 79.9343561 },\n      { nominal: 81, mass: 80.9294556 },\n      { nominal: 82, mass: 81.9269314 },\n      { nominal: 83, mass: 82.922485 },\n      { nominal: 84, mass: 83.9206721 },\n      { nominal: 85, mass: 84.916433 },\n      { nominal: 86, mass: 85.914886 },\n      { nominal: 87, mass: 86.9108761 },\n      { nominal: 88, mass: 87.9095016 },\n      { nominal: 89, mass: 88.9058403, abundance: 1 },\n 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abundance: 0.1667 },\n      { nominal: 97, mass: 96.90601812, abundance: 0.096 },\n      { nominal: 98, mass: 97.90540482, abundance: 0.2439 },\n      { nominal: 99, mass: 98.90770851 },\n      { nominal: 100, mass: 99.9074718, abundance: 0.0982 },\n      { nominal: 101, mass: 100.9103414 },\n      { nominal: 102, mass: 101.9102834 },\n      { nominal: 103, mass: 102.913079 },\n      { nominal: 104, mass: 103.9137344 },\n      { nominal: 105, mass: 104.916969 },\n      { nominal: 106, mass: 105.918259 },\n      { nominal: 107, mass: 106.922106 },\n      { nominal: 108, mass: 107.924033 },\n      { nominal: 109, mass: 108.928424 },\n      { nominal: 110, mass: 109.930704 },\n      { nominal: 111, mass: 110.935654 },\n      { nominal: 112, mass: 111.93831 },\n      { nominal: 113, mass: 112.94335 },\n      { nominal: 114, mass: 113.94653 },\n      { nominal: 115, mass: 114.95196 },\n      { nominal: 116, mass: 115.95545 },\n      { nominal: 117, mass: 116.96117 },\n    ],\n    symbol: 'Mo',\n    mass: 95.959788541188,\n    name: 'Molybdenum',\n    monoisotopicMass: 97.90540482,\n  },\n  {\n    number: 43,\n    isotopes: [\n      { nominal: 85, mass: 84.95058 },\n      { nominal: 86, mass: 85.94493 },\n      { nominal: 87, mass: 86.9380672 },\n      { nominal: 88, mass: 87.93378 },\n      { nominal: 89, mass: 88.9276487 },\n      { nominal: 90, mass: 89.9240739 },\n      { nominal: 91, mass: 90.9184254 },\n      { nominal: 92, mass: 91.9152698 },\n      { nominal: 93, mass: 92.910246 },\n      { nominal: 94, mass: 93.9096536 },\n      { nominal: 95, mass: 94.9076536 },\n      { nominal: 96, mass: 95.907868 },\n      { nominal: 97, mass: 96.9063667 },\n      { nominal: 98, mass: 97.9072124 },\n      { nominal: 99, mass: 98.9062508 },\n      { nominal: 100, mass: 99.9076539 },\n      { nominal: 101, mass: 100.907309 },\n      { nominal: 102, mass: 101.9092097 },\n      { nominal: 103, mass: 102.909176 },\n      { nominal: 104, mass: 103.911425 },\n      { nominal: 105, mass: 104.911655 },\n      { nominal: 106, mass: 105.914358 },\n      { nominal: 107, mass: 106.9154606 },\n      { nominal: 108, mass: 107.9184957 },\n      { nominal: 109, mass: 108.920256 },\n      { nominal: 110, mass: 109.923744 },\n      { nominal: 111, mass: 110.925901 },\n      { nominal: 112, mass: 111.9299458 },\n      { nominal: 113, mass: 112.932569 },\n      { nominal: 114, mass: 113.93691 },\n      { nominal: 115, mass: 114.93998 },\n      { nominal: 116, mass: 115.94476 },\n      { nominal: 117, mass: 116.94806 },\n      { nominal: 118, mass: 117.95299 },\n      { nominal: 119, mass: 118.95666 },\n      { nominal: 120, mass: 119.96187 },\n    ],\n    symbol: 'Tc',\n    mass: null,\n    name: 'Technetium',\n  },\n  {\n    number: 44,\n    isotopes: [\n      { nominal: 87, mass: 86.95069 },\n      { nominal: 88, mass: 87.9416 },\n      { nominal: 89, mass: 88.93762 },\n      { nominal: 90, mass: 89.9303444 },\n      { nominal: 91, mass: 90.9267419 },\n      { nominal: 92, mass: 91.9202344 },\n      { nominal: 93, mass: 92.9171044 },\n      { nominal: 94, mass: 93.9113429 },\n      { nominal: 95, mass: 94.910406 },\n      { nominal: 96, mass: 95.90759025, abundance: 0.0554 },\n      { nominal: 97, mass: 96.9075471 },\n      { nominal: 98, mass: 97.9052868, abundance: 0.0187 },\n      { nominal: 99, mass: 98.9059341, abundance: 0.1276 },\n      { nominal: 100, mass: 99.9042143, abundance: 0.126 },\n      { nominal: 101, mass: 100.9055769, abundance: 0.1706 },\n      { nominal: 102, mass: 101.9043441, abundance: 0.3155 },\n      { nominal: 103, mass: 102.9063186 },\n      { nominal: 104, mass: 103.9054275, abundance: 0.1862 },\n      { nominal: 105, mass: 104.9077476 },\n      { nominal: 106, mass: 105.9073291 },\n      { nominal: 107, mass: 106.909972 },\n      { nominal: 108, mass: 107.910188 },\n      { nominal: 109, mass: 108.913326 },\n      { nominal: 110, mass: 109.9140407 },\n      { nominal: 111, mass: 110.91757 },\n      { nominal: 112, mass: 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95.914453 },\n      { nominal: 97, mass: 96.911329 },\n      { nominal: 98, mass: 97.910708 },\n      { nominal: 99, mass: 98.9081282 },\n      { nominal: 100, mass: 99.908117 },\n      { nominal: 101, mass: 100.9061606 },\n      { nominal: 102, mass: 101.9068374 },\n      { nominal: 103, mass: 102.905498, abundance: 1 },\n      { nominal: 104, mass: 103.9066492 },\n      { nominal: 105, mass: 104.9056885 },\n      { nominal: 106, mass: 105.9072868 },\n      { nominal: 107, mass: 106.906748 },\n      { nominal: 108, mass: 107.908714 },\n      { nominal: 109, mass: 108.9087488 },\n      { nominal: 110, mass: 109.911079 },\n      { nominal: 111, mass: 110.9116423 },\n      { nominal: 112, mass: 111.914403 },\n      { nominal: 113, mass: 112.9154393 },\n      { nominal: 114, mass: 113.918718 },\n      { nominal: 115, mass: 114.9203116 },\n      { nominal: 116, mass: 115.924059 },\n      { nominal: 117, mass: 116.9260354 },\n      { nominal: 118, mass: 117.93034 },\n      { nominal: 119, mass: 118.932557 },\n      { nominal: 120, mass: 119.93686 },\n      { nominal: 121, mass: 120.93942 },\n      { nominal: 122, mass: 121.94399 },\n      { nominal: 123, mass: 122.94685 },\n      { nominal: 124, mass: 123.95151 },\n      { nominal: 125, mass: 124.95469 },\n      { nominal: 126, mass: 125.95946 },\n    ],\n    symbol: 'Rh',\n    mass: 102.905498,\n    name: 'Rhodium',\n    monoisotopicMass: 102.905498,\n  },\n  {\n    number: 46,\n    isotopes: [\n      { nominal: 91, mass: 90.95032 },\n      { nominal: 92, mass: 91.94088 },\n      { nominal: 93, mass: 92.93651 },\n      { nominal: 94, mass: 93.9290376 },\n      { nominal: 95, mass: 94.9248898 },\n      { nominal: 96, mass: 95.9182151 },\n      { nominal: 97, mass: 96.916472 },\n      { nominal: 98, mass: 97.9126983 },\n      { nominal: 99, mass: 98.9117748 },\n      { nominal: 100, mass: 99.908505 },\n      { nominal: 101, mass: 100.9082864 },\n      { nominal: 102, mass: 101.9056022, abundance: 0.0102 },\n      { nominal: 103, mass: 102.9060809 },\n      { nominal: 104, mass: 103.9040305, abundance: 0.1114 },\n      { nominal: 105, mass: 104.9050796, abundance: 0.2233 },\n      { nominal: 106, mass: 105.9034804, abundance: 0.2733 },\n      { nominal: 107, mass: 106.9051282 },\n      { nominal: 108, mass: 107.9038916, abundance: 0.2646 },\n      { nominal: 109, mass: 108.9059504 },\n      { nominal: 110, mass: 109.9051722, abundance: 0.1172 },\n      { nominal: 111, mass: 110.90768968 },\n      { nominal: 112, mass: 111.9073297 },\n      { nominal: 113, mass: 112.910261 },\n      { nominal: 114, mass: 113.9103686 },\n      { nominal: 115, mass: 114.913659 },\n      { nominal: 116, mass: 115.914297 },\n      { nominal: 117, mass: 116.9179547 },\n      { nominal: 118, mass: 117.9190667 },\n      { nominal: 119, mass: 118.9233402 },\n      { nominal: 120, mass: 119.9245511 },\n      { nominal: 121, mass: 120.9289503 },\n      { nominal: 122, mass: 121.930632 },\n      { nominal: 123, mass: 122.93514 },\n      { nominal: 124, mass: 123.93714 },\n      { nominal: 125, mass: 124.94179 },\n      { nominal: 126, mass: 125.94416 },\n      { nominal: 127, mass: 126.94907 },\n      { nominal: 128, mass: 127.95183 },\n    ],\n    symbol: 'Pd',\n    mass: 106.41532750734,\n    name: 'Palladium',\n    monoisotopicMass: 105.9034804,\n  },\n  {\n    number: 47,\n    isotopes: [\n      { nominal: 93, mass: 92.95033 },\n      { nominal: 94, mass: 93.94373 },\n      { nominal: 95, mass: 94.93602 },\n      { nominal: 96, mass: 95.930744 },\n      { nominal: 97, mass: 96.92397 },\n      { nominal: 98, mass: 97.92156 },\n      { nominal: 99, mass: 98.9176458 },\n      { nominal: 100, mass: 99.9161154 },\n      { nominal: 101, mass: 100.912684 },\n      { nominal: 102, mass: 101.9117047 },\n      { nominal: 103, mass: 102.9089631 },\n      { nominal: 104, mass: 103.9086239 },\n      { nominal: 105, mass: 104.9065256 },\n      { nominal: 106, mass: 105.9066636 },\n      { nominal: 107, mass: 106.9050916, abundance: 0.51839 },\n      { nominal: 108, mass: 107.9059503 },\n      { nominal: 109, mass: 108.9047553, abundance: 0.48161 },\n      { nominal: 110, mass: 109.9061102 },\n      { nominal: 111, mass: 110.9052959 },\n      { nominal: 112, mass: 111.9070486 },\n      { nominal: 113, mass: 112.906573 },\n      { nominal: 114, mass: 113.908823 },\n      { nominal: 115, mass: 114.908767 },\n      { nominal: 116, mass: 115.9113868 },\n      { nominal: 117, mass: 116.911774 },\n      { nominal: 118, mass: 117.9145955 },\n      { nominal: 119, mass: 118.91557 },\n      { nominal: 120, mass: 119.9187848 },\n      { nominal: 121, mass: 120.920125 },\n      { nominal: 122, mass: 121.923664 },\n      { nominal: 123, mass: 122.925337 },\n      { nominal: 124, mass: 123.92893 },\n      { nominal: 125, mass: 124.93105 },\n      { nominal: 126, mass: 125.93475 },\n      { nominal: 127, mass: 126.93711 },\n      { nominal: 128, mass: 127.94106 },\n      { nominal: 129, mass: 128.94395 },\n      { nominal: 130, mass: 129.9507 },\n    ],\n    symbol: 'Ag',\n    mass: 107.868149634557,\n    name: 'Silver',\n    monoisotopicMass: 106.9050916,\n  },\n  {\n    number: 48,\n    isotopes: [\n      { nominal: 95, mass: 94.94994 },\n      { nominal: 96, mass: 95.94034 },\n      { nominal: 97, mass: 96.9351 },\n      { nominal: 98, mass: 97.927389 },\n      { nominal: 99, mass: 98.9249258 },\n      { nominal: 100, mass: 99.9203488 },\n      { nominal: 101, mass: 100.9185862 },\n      { nominal: 102, mass: 101.914482 },\n      { nominal: 103, mass: 102.9134165 },\n      { nominal: 104, mass: 103.9098564 },\n      { nominal: 105, mass: 104.9094639 },\n      { nominal: 106, mass: 105.9064599, abundance: 0.0125 },\n      { nominal: 107, mass: 106.9066121 },\n      { nominal: 108, mass: 107.9041834, abundance: 0.0089 },\n      { nominal: 109, mass: 108.9049867 },\n      { nominal: 110, mass: 109.90300661, abundance: 0.1249 },\n      { nominal: 111, mass: 110.90418287, abundance: 0.128 },\n      { nominal: 112, mass: 111.90276287, abundance: 0.2413 },\n      { nominal: 113, mass: 112.90440813, abundance: 0.1222 },\n      { nominal: 114, mass: 113.90336509, abundance: 0.2873 },\n      { nominal: 115, mass: 114.90543751 },\n      { nominal: 116, mass: 115.90476315, abundance: 0.0749 },\n      { nominal: 117, mass: 116.907226 },\n      { nominal: 118, mass: 117.906922 },\n      { nominal: 119, mass: 118.909847 },\n      { nominal: 120, mass: 119.9098681 },\n      { nominal: 121, mass: 120.9129637 },\n      { nominal: 122, mass: 121.9134591 },\n      { nominal: 123, mass: 122.9168925 },\n      { nominal: 124, mass: 123.9176574 },\n      { nominal: 125, mass: 124.9212576 },\n      { nominal: 126, mass: 125.9224291 },\n      { nominal: 127, mass: 126.926472 },\n      { nominal: 128, mass: 127.9278129 },\n      { nominal: 129, mass: 128.93182 },\n      { nominal: 130, mass: 129.93394 },\n      { nominal: 131, mass: 130.9406 },\n      { nominal: 132, mass: 131.94604 },\n      { nominal: 133, mass: 132.95285 },\n    ],\n    symbol: 'Cd',\n    mass: 112.411557818268,\n    name: 'Cadmium',\n    monoisotopicMass: 113.90336509,\n  },\n  {\n    number: 49,\n    isotopes: [\n      { nominal: 97, mass: 96.94934 },\n      { nominal: 98, mass: 97.94214 },\n      { nominal: 99, mass: 98.93411 },\n      { nominal: 100, mass: 99.93096 },\n      { nominal: 101, mass: 100.92634 },\n      { nominal: 102, mass: 101.9241071 },\n      { nominal: 103, mass: 102.9198819 },\n      { nominal: 104, mass: 103.9182145 },\n      { nominal: 105, mass: 104.914502 },\n      { nominal: 106, mass: 105.913464 },\n      { nominal: 107, mass: 106.91029 },\n      { nominal: 108, mass: 107.9096935 },\n      { nominal: 109, mass: 108.9071514 },\n      { nominal: 110, mass: 109.90717 },\n      { nominal: 111, mass: 110.9051085 },\n      { nominal: 112, mass: 111.9055377 },\n      { nominal: 113, mass: 112.90406184, abundance: 0.0429 },\n      { nominal: 114, mass: 113.90491791 },\n      { nominal: 115, mass: 114.903878776, abundance: 0.9571 },\n      { nominal: 116, mass: 115.90525999 },\n      { nominal: 117, mass: 116.9045157 },\n      { nominal: 118, mass: 117.9063566 },\n      { nominal: 119, mass: 118.9058507 },\n      { nominal: 120, mass: 119.907967 },\n      { nominal: 121, mass: 120.907851 },\n      { nominal: 122, mass: 121.910281 },\n      { nominal: 123, mass: 122.910434 },\n      { nominal: 124, mass: 123.913182 },\n      { nominal: 125, mass: 124.913605 },\n      { nominal: 126, mass: 125.916507 },\n      { nominal: 127, mass: 126.917446 },\n      { nominal: 128, mass: 127.9204 },\n      { nominal: 129, mass: 128.9218053 },\n      { nominal: 130, mass: 129.924977 },\n      { nominal: 131, mass: 130.9269715 },\n      { nominal: 132, mass: 131.933001 },\n      { nominal: 133, mass: 132.93831 },\n      { nominal: 134, mass: 133.94454 },\n      { nominal: 135, mass: 134.95005 },\n    ],\n    symbol: 'In',\n    mass: 114.81808662944559,\n    name: 'Indium',\n    monoisotopicMass: 114.903878776,\n  },\n  {\n    number: 50,\n    isotopes: [\n      { nominal: 99, mass: 98.94853 },\n      { nominal: 100, mass: 99.9385 },\n      { nominal: 101, mass: 100.93526 },\n      { nominal: 102, mass: 101.93029 },\n      { nominal: 103, mass: 102.928105 },\n      { nominal: 104, mass: 103.9231052 },\n      { nominal: 105, mass: 104.9212684 },\n      { nominal: 106, mass: 105.9169574 },\n      { nominal: 107, mass: 106.9157137 },\n      { nominal: 108, mass: 107.9118943 },\n      { nominal: 109, mass: 108.9112921 },\n      { nominal: 110, mass: 109.907845 },\n      { nominal: 111, mass: 110.9077401 },\n      { nominal: 112, mass: 111.90482387, abundance: 0.0097 },\n      { nominal: 113, mass: 112.9051757 },\n      { nominal: 114, mass: 113.9027827, abundance: 0.0066 },\n      { nominal: 115, mass: 114.903344699, abundance: 0.0034 },\n      { nominal: 116, mass: 115.9017428, abundance: 0.1454 },\n      { nominal: 117, mass: 116.90295398, abundance: 0.0768 },\n      { nominal: 118, mass: 117.90160657, abundance: 0.2422 },\n      { nominal: 119, mass: 118.90331117, abundance: 0.0859 },\n      { nominal: 120, mass: 119.90220163, abundance: 0.3258 },\n      { nominal: 121, mass: 120.9042426 },\n      { nominal: 122, mass: 121.9034438, abundance: 0.0463 },\n      { nominal: 123, mass: 122.9057252 },\n      { nominal: 124, mass: 123.9052766, abundance: 0.0579 },\n      { nominal: 125, mass: 124.9077864 },\n      { nominal: 126, mass: 125.907659 },\n      { nominal: 127, mass: 126.91039 },\n      { nominal: 128, mass: 127.910507 },\n      { nominal: 129, mass: 128.913465 },\n      { nominal: 130, mass: 129.9139738 },\n      { nominal: 131, mass: 130.917045 },\n      { nominal: 132, mass: 131.9178267 },\n      { nominal: 133, mass: 132.9239134 },\n      { nominal: 134, mass: 133.9286821 },\n      { nominal: 135, mass: 134.9349086 },\n      { nominal: 136, mass: 135.93999 },\n      { nominal: 137, mass: 136.94655 },\n      { nominal: 138, mass: 137.95184 },\n    ],\n    symbol: 'Sn',\n    mass: 118.71011259301059,\n    name: 'Tin',\n    monoisotopicMass: 119.90220163,\n  },\n  {\n    number: 51,\n    isotopes: [\n      { nominal: 103, mass: 102.93969 },\n      { nominal: 104, mass: 103.93648 },\n      { nominal: 105, mass: 104.931276 },\n      { nominal: 106, mass: 105.928638 },\n      { nominal: 107, mass: 106.9241506 },\n      { nominal: 108, mass: 107.9222267 },\n      { nominal: 109, mass: 108.9181411 },\n      { nominal: 110, mass: 109.9168543 },\n      { nominal: 111, mass: 110.9132182 },\n      { nominal: 112, mass: 111.9124 },\n      { nominal: 113, mass: 112.909375 },\n      { nominal: 114, mass: 113.90929 },\n      { nominal: 115, mass: 114.906598 },\n      { nominal: 116, mass: 115.9067931 },\n      { nominal: 117, mass: 116.9048415 },\n      { nominal: 118, mass: 117.9055321 },\n      { nominal: 119, mass: 118.9039455 },\n      { nominal: 120, mass: 119.9050794 },\n      { nominal: 121, mass: 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mass: 148.923736 },\n      { nominal: 150, mass: 149.9266765 },\n      { nominal: 151, mass: 150.928309 },\n      { nominal: 152, mass: 151.931553 },\n      { nominal: 153, mass: 152.933904 },\n      { nominal: 154, mass: 153.93753 },\n      { nominal: 155, mass: 154.940509 },\n      { nominal: 156, mass: 155.94464 },\n      { nominal: 157, mass: 156.94789 },\n      { nominal: 158, mass: 157.95241 },\n      { nominal: 159, mass: 158.95589 },\n    ],\n    symbol: 'Pr',\n    mass: 140.9076576,\n    name: 'Praseodymium',\n    monoisotopicMass: 140.9076576,\n  },\n  {\n    number: 60,\n    isotopes: [\n      { nominal: 124, mass: 123.9522 },\n      { nominal: 125, mass: 124.9489 },\n      { nominal: 126, mass: 125.94311 },\n      { nominal: 127, mass: 126.94038 },\n      { nominal: 128, mass: 127.93525 },\n      { nominal: 129, mass: 128.9331 },\n      { nominal: 130, mass: 129.928506 },\n      { nominal: 131, mass: 130.927248 },\n      { nominal: 132, mass: 131.923321 },\n      { nominal: 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180.9479958,\n  },\n  {\n    number: 74,\n    isotopes: [\n      { nominal: 157, mass: 156.97884 },\n      { nominal: 158, mass: 157.97456 },\n      { nominal: 159, mass: 158.97264 },\n      { nominal: 160, mass: 159.96846 },\n      { nominal: 161, mass: 160.9672 },\n      { nominal: 162, mass: 161.963499 },\n      { nominal: 163, mass: 162.962524 },\n      { nominal: 164, mass: 163.958961 },\n      { nominal: 165, mass: 164.958281 },\n      { nominal: 166, mass: 165.955031 },\n      { nominal: 167, mass: 166.954805 },\n      { nominal: 168, mass: 167.951806 },\n      { nominal: 169, mass: 168.951779 },\n      { nominal: 170, mass: 169.949232 },\n      { nominal: 171, mass: 170.949451 },\n      { nominal: 172, mass: 171.947292 },\n      { nominal: 173, mass: 172.947689 },\n      { nominal: 174, mass: 173.946079 },\n      { nominal: 175, mass: 174.946717 },\n      { nominal: 176, mass: 175.945634 },\n      { nominal: 177, mass: 176.946643 },\n      { nominal: 178, mass: 177.945883 },\n      { nominal: 179, mass: 178.947077 },\n      { nominal: 180, mass: 179.9467108, abundance: 0.0012 },\n      { nominal: 181, mass: 180.9481978 },\n      { nominal: 182, mass: 181.94820394, abundance: 0.265 },\n      { nominal: 183, mass: 182.95022275, abundance: 0.1431 },\n      { nominal: 184, mass: 183.95093092, abundance: 0.3064 },\n      { nominal: 185, mass: 184.95341897 },\n      { nominal: 186, mass: 185.9543628, abundance: 0.2843 },\n      { nominal: 187, mass: 186.9571588 },\n      { nominal: 188, mass: 187.9584862 },\n      { nominal: 189, mass: 188.961763 },\n      { nominal: 190, mass: 189.963091 },\n      { nominal: 191, mass: 190.966531 },\n      { nominal: 192, mass: 191.96817 },\n      { nominal: 193, mass: 192.97178 },\n      { nominal: 194, mass: 193.97367 },\n    ],\n    symbol: 'W',\n    mass: 183.841777550513,\n    name: 'Tungsten',\n    monoisotopicMass: 183.95093092,\n  },\n  {\n    number: 75,\n    isotopes: [\n      { nominal: 159, mass: 158.98418 },\n      { 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mass: 182.9508196 },\n      { nominal: 184, mass: 183.9525228 },\n      { nominal: 185, mass: 184.9529545, abundance: 0.374 },\n      { nominal: 186, mass: 185.9549856 },\n      { nominal: 187, mass: 186.9557501, abundance: 0.626 },\n      { nominal: 188, mass: 187.9581115 },\n      { nominal: 189, mass: 188.959226 },\n      { nominal: 190, mass: 189.961744 },\n      { nominal: 191, mass: 190.963122 },\n      { nominal: 192, mass: 191.966088 },\n      { nominal: 193, mass: 192.967541 },\n      { nominal: 194, mass: 193.97076 },\n      { nominal: 195, mass: 194.97254 },\n      { nominal: 196, mass: 195.9758 },\n      { nominal: 197, mass: 196.97799 },\n      { nominal: 198, mass: 197.9816 },\n    ],\n    symbol: 'Re',\n    mass: 186.20670454560002,\n    name: 'Rhenium',\n    monoisotopicMass: 186.9557501,\n  },\n  {\n    number: 76,\n    isotopes: [\n      { nominal: 161, mass: 160.98903 },\n      { nominal: 162, mass: 161.98443 },\n      { nominal: 163, mass: 162.98241 },\n      { 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abundance: 0.0159 },\n      { nominal: 187, mass: 186.9557474, abundance: 0.0196 },\n      { nominal: 188, mass: 187.9558352, abundance: 0.1324 },\n      { nominal: 189, mass: 188.9581442, abundance: 0.1615 },\n      { nominal: 190, mass: 189.9584437, abundance: 0.2626 },\n      { nominal: 191, mass: 190.9609264 },\n      { nominal: 192, mass: 191.961477, abundance: 0.4078 },\n      { nominal: 193, mass: 192.9641479 },\n      { nominal: 194, mass: 193.9651772 },\n      { nominal: 195, mass: 194.968318 },\n      { nominal: 196, mass: 195.969641 },\n      { nominal: 197, mass: 196.97283 },\n      { nominal: 198, mass: 197.97441 },\n      { nominal: 199, mass: 198.97801 },\n      { nominal: 200, mass: 199.97984 },\n      { nominal: 201, mass: 200.98364 },\n      { nominal: 202, mass: 201.98595 },\n    ],\n    symbol: 'Os',\n    mass: 190.22485962823998,\n    name: 'Osmium',\n    monoisotopicMass: 191.961477,\n  },\n  {\n    number: 77,\n    isotopes: [\n      { nominal: 164, mass: 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{ nominal: 188, mass: 187.958828 },\n      { nominal: 189, mass: 188.958715 },\n      { nominal: 190, mass: 189.9605412 },\n      { nominal: 191, mass: 190.9605893, abundance: 0.373 },\n      { nominal: 192, mass: 191.9626002 },\n      { nominal: 193, mass: 192.9629216, abundance: 0.627 },\n      { nominal: 194, mass: 193.9650735 },\n      { nominal: 195, mass: 194.9659747 },\n      { nominal: 196, mass: 195.968397 },\n      { nominal: 197, mass: 196.969655 },\n      { nominal: 198, mass: 197.97228 },\n      { nominal: 199, mass: 198.973805 },\n      { nominal: 200, mass: 199.9768 },\n      { nominal: 201, mass: 200.97864 },\n      { nominal: 202, mass: 201.98199 },\n      { nominal: 203, mass: 202.98423 },\n      { nominal: 204, mass: 203.9896 },\n    ],\n    symbol: 'Ir',\n    mass: 192.2160516521,\n    name: 'Iridium',\n    monoisotopicMass: 192.9629216,\n  },\n  {\n    number: 78,\n    isotopes: [\n      { nominal: 166, mass: 165.99486 },\n      { nominal: 167, mass: 166.99269 },\n 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   { nominal: 170, mass: 169.99597 },\n      { nominal: 171, mass: 170.991876 },\n      { nominal: 172, mass: 171.989942 },\n      { nominal: 173, mass: 172.986241 },\n      { nominal: 174, mass: 173.984717 },\n      { nominal: 175, mass: 174.981304 },\n      { nominal: 176, mass: 175.98025 },\n      { nominal: 177, mass: 176.97687 },\n      { nominal: 178, mass: 177.976032 },\n      { nominal: 179, mass: 178.973174 },\n      { nominal: 180, mass: 179.972523 },\n      { nominal: 181, mass: 180.970079 },\n      { nominal: 182, mass: 181.969618 },\n      { nominal: 183, mass: 182.967591 },\n      { nominal: 184, mass: 183.967452 },\n      { nominal: 185, mass: 184.96579 },\n      { nominal: 186, mass: 185.965953 },\n      { nominal: 187, mass: 186.964543 },\n      { nominal: 188, mass: 187.965349 },\n      { nominal: 189, mass: 188.963948 },\n      { nominal: 190, mass: 189.964698 },\n      { nominal: 191, mass: 190.963702 },\n      { nominal: 192, mass: 191.964814 },\n      { nominal: 193, mass: 192.9641373 },\n      { nominal: 194, mass: 193.9654178 },\n      { nominal: 195, mass: 194.9650352 },\n      { nominal: 196, mass: 195.9665699 },\n      { nominal: 197, mass: 196.96656879, abundance: 1 },\n      { nominal: 198, mass: 197.96824242 },\n      { nominal: 199, mass: 198.96876528 },\n      { nominal: 200, mass: 199.970756 },\n      { nominal: 201, mass: 200.9716575 },\n      { nominal: 202, mass: 201.973856 },\n      { nominal: 203, mass: 202.9751544 },\n      { nominal: 204, mass: 203.97783 },\n      { nominal: 205, mass: 204.97985 },\n      { nominal: 206, mass: 205.98474 },\n      { nominal: 207, mass: 206.9884 },\n      { nominal: 208, mass: 207.99345 },\n      { nominal: 209, mass: 208.99735 },\n      { nominal: 210, mass: 210.0025 },\n    ],\n    symbol: 'Au',\n    mass: 196.96656879,\n    name: 'Gold',\n    monoisotopicMass: 196.96656879,\n  },\n  {\n    number: 80,\n    isotopes: [\n      { nominal: 171, mass: 171.00353 },\n      { nominal: 172, mass: 171.99881 },\n      { nominal: 173, mass: 172.99709 },\n      { nominal: 174, mass: 173.992865 },\n      { nominal: 175, mass: 174.991441 },\n      { nominal: 176, mass: 175.987361 },\n      { nominal: 177, mass: 176.986277 },\n      { nominal: 178, mass: 177.982484 },\n      { nominal: 179, mass: 178.981831 },\n      { nominal: 180, mass: 179.97826 },\n      { nominal: 181, mass: 180.977819 },\n      { nominal: 182, mass: 181.974689 },\n      { nominal: 183, mass: 182.9744448 },\n      { nominal: 184, mass: 183.971714 },\n      { nominal: 185, mass: 184.971899 },\n      { nominal: 186, mass: 185.969362 },\n      { nominal: 187, mass: 186.969814 },\n      { nominal: 188, mass: 187.967567 },\n      { nominal: 189, mass: 188.968195 },\n      { nominal: 190, mass: 189.966323 },\n      { nominal: 191, mass: 190.967157 },\n      { nominal: 192, mass: 191.965635 },\n      { nominal: 193, mass: 192.966653 },\n      { nominal: 194, mass: 193.9654491 },\n      { nominal: 195, mass: 194.966721 },\n      { nominal: 196, mass: 195.9658326, abundance: 0.0015 },\n      { nominal: 197, mass: 196.9672128 },\n      { nominal: 198, mass: 197.9667686, abundance: 0.0997 },\n      { nominal: 199, mass: 198.96828064, abundance: 0.1687 },\n      { nominal: 200, mass: 199.96832659, abundance: 0.231 },\n      { nominal: 201, mass: 200.97030284, abundance: 0.1318 },\n      { nominal: 202, mass: 201.9706434, abundance: 0.2986 },\n      { nominal: 203, mass: 202.9728728 },\n      { nominal: 204, mass: 203.97349398, abundance: 0.0687 },\n      { nominal: 205, mass: 204.9760734 },\n      { nominal: 206, mass: 205.977514 },\n      { nominal: 207, mass: 206.9823 },\n      { nominal: 208, mass: 207.985759 },\n      { nominal: 209, mass: 208.99072 },\n      { nominal: 210, mass: 209.99424 },\n      { nominal: 211, mass: 210.99933 },\n      { nominal: 212, mass: 212.00296 },\n      { nominal: 213, mass: 213.00823 },\n      { nominal: 214, mass: 214.012 },\n      { nominal: 215, mass: 215.0174 },\n      { nominal: 216, mass: 216.02132 },\n    ],\n    symbol: 'Hg',\n    mass: 200.59916703455602,\n    name: 'Mercury',\n    monoisotopicMass: 201.9706434,\n  },\n  {\n    number: 81,\n    isotopes: [\n      { nominal: 176, mass: 176.000624 },\n      { nominal: 177, mass: 176.996431 },\n      { nominal: 178, mass: 177.99485 },\n      { nominal: 179, mass: 178.991111 },\n      { nominal: 180, mass: 179.990057 },\n      { nominal: 181, mass: 180.98626 },\n      { nominal: 182, mass: 181.985713 },\n      { nominal: 183, mass: 182.982193 },\n      { nominal: 184, mass: 183.981886 },\n      { nominal: 185, mass: 184.978789 },\n      { nominal: 186, mass: 185.978651 },\n      { nominal: 187, mass: 186.9759063 },\n      { nominal: 188, mass: 187.976021 },\n      { nominal: 189, mass: 188.973588 },\n      { nominal: 190, mass: 189.973828 },\n      { nominal: 191, mass: 190.9717842 },\n      { nominal: 192, mass: 191.972225 },\n      { nominal: 193, mass: 192.970502 },\n      { nominal: 194, mass: 193.971081 },\n      { nominal: 195, mass: 194.969774 },\n      { nominal: 196, mass: 195.970481 },\n      { nominal: 197, mass: 196.969576 },\n      { nominal: 198, mass: 197.970483 },\n      { nominal: 199, mass: 198.969877 },\n      { nominal: 200, mass: 199.9709633 },\n      { nominal: 201, mass: 200.970822 },\n      { nominal: 202, mass: 201.972102 },\n      { nominal: 203, mass: 202.9723446, abundance: 0.2952 },\n      { nominal: 204, mass: 203.9738639 },\n      { nominal: 205, mass: 204.9744278, abundance: 0.7048 },\n      { nominal: 206, mass: 205.9761106 },\n      { nominal: 207, mass: 206.9774197 },\n      { nominal: 208, mass: 207.982019 },\n      { nominal: 209, mass: 208.9853594 },\n      { nominal: 210, mass: 209.990074 },\n      { nominal: 211, mass: 210.993475 },\n      { nominal: 212, mass: 211.99834 },\n      { nominal: 213, mass: 213.001915 },\n      { nominal: 214, mass: 214.00694 },\n      { nominal: 215, mass: 215.01064 },\n      { nominal: 216, mass: 216.0158 },\n      { nominal: 217, mass: 217.01966 },\n      { nominal: 218, mass: 218.02479 },\n    ],\n    symbol: 'Tl',\n    mass: 204.38341283936,\n    name: 'Thallium',\n    monoisotopicMass: 204.9744278,\n  },\n  {\n    number: 82,\n    isotopes: [\n      { nominal: 178, mass: 178.003831 },\n      { nominal: 179, mass: 179.002201 },\n      { nominal: 180, mass: 179.997928 },\n      { nominal: 181, mass: 180.996653 },\n      { nominal: 182, mass: 181.992672 },\n      { nominal: 183, mass: 182.991872 },\n      { nominal: 184, mass: 183.988136 },\n      { nominal: 185, mass: 184.98761 },\n      { nominal: 186, mass: 185.984238 },\n      { nominal: 187, mass: 186.9839109 },\n      { nominal: 188, mass: 187.980875 },\n      { nominal: 189, mass: 188.980807 },\n      { nominal: 190, mass: 189.978082 },\n      { nominal: 191, mass: 190.978276 },\n      { nominal: 192, mass: 191.975775 },\n      { nominal: 193, mass: 192.976173 },\n      { nominal: 194, mass: 193.974012 },\n      { nominal: 195, mass: 194.974543 },\n      { nominal: 196, mass: 195.972774 },\n      { nominal: 197, mass: 196.9734312 },\n      { nominal: 198, mass: 197.972034 },\n      { nominal: 199, mass: 198.972913 },\n      { nominal: 200, mass: 199.971819 },\n      { nominal: 201, mass: 200.972883 },\n      { nominal: 202, mass: 201.972152 },\n      { nominal: 203, mass: 202.9733911 },\n      { nominal: 204, mass: 203.973044, abundance: 0.014 },\n      { nominal: 205, mass: 204.9744822 },\n      { nominal: 206, mass: 205.9744657, abundance: 0.241 },\n      { nominal: 207, mass: 206.9758973, abundance: 0.221 },\n      { nominal: 208, mass: 207.9766525, abundance: 0.524 },\n      { nominal: 209, mass: 208.9810905 },\n      { nominal: 210, mass: 209.9841889 },\n      { nominal: 211, mass: 210.9887371 },\n      { nominal: 212, mass: 211.9918977 },\n      { nominal: 213, mass: 212.9965629 },\n      { nominal: 214, mass: 213.9998059 },\n      { nominal: 215, mass: 215.00474 },\n      { nominal: 216, mass: 216.00803 },\n      { nominal: 217, mass: 217.01314 },\n      { nominal: 218, mass: 218.01659 },\n      { nominal: 219, mass: 219.02177 },\n      { nominal: 220, mass: 220.02541 },\n    ],\n    symbol: 'Pb',\n    mass: 207.216908063,\n    name: 'Lead',\n    monoisotopicMass: 207.9766525,\n  },\n  {\n    number: 83,\n    isotopes: [\n      { nominal: 184, mass: 184.001275 },\n      { nominal: 185, mass: 184.9976 },\n      { nominal: 186, mass: 185.996644 },\n      { nominal: 187, mass: 186.993147 },\n      { nominal: 188, mass: 187.992287 },\n      { nominal: 189, mass: 188.989195 },\n      { nominal: 190, mass: 189.988622 },\n      { nominal: 191, mass: 190.9857866 },\n      { nominal: 192, mass: 191.985469 },\n      { nominal: 193, mass: 192.98296 },\n      { nominal: 194, mass: 193.982785 },\n      { nominal: 195, mass: 194.9806488 },\n      { nominal: 196, mass: 195.980667 },\n      { nominal: 197, mass: 196.9788651 },\n      { nominal: 198, mass: 197.979206 },\n      { 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   { nominal: 222, mass: 222.03078 },\n      { nominal: 223, mass: 223.0345 },\n      { nominal: 224, mass: 224.03947 },\n    ],\n    symbol: 'Bi',\n    mass: 208.9803991,\n    name: 'Bismuth',\n    monoisotopicMass: 208.9803991,\n  },\n  {\n    number: 84,\n    isotopes: [\n      { nominal: 186, mass: 186.004393 },\n      { nominal: 187, mass: 187.003041 },\n      { nominal: 188, mass: 187.999416 },\n      { nominal: 189, mass: 188.998473 },\n      { nominal: 190, mass: 189.995101 },\n      { nominal: 191, mass: 190.9945585 },\n      { nominal: 192, mass: 191.991336 },\n      { nominal: 193, mass: 192.991026 },\n      { nominal: 194, mass: 193.988186 },\n      { nominal: 195, mass: 194.988126 },\n      { nominal: 196, mass: 195.985526 },\n      { nominal: 197, mass: 196.98566 },\n      { nominal: 198, mass: 197.983389 },\n      { nominal: 199, mass: 198.983667 },\n      { nominal: 200, mass: 199.981799 },\n      { nominal: 201, mass: 200.9822598 },\n      { nominal: 202, mass: 201.980758 },\n      { nominal: 203, mass: 202.9814161 },\n      { nominal: 204, mass: 203.98031 },\n      { nominal: 205, mass: 204.981203 },\n      { nominal: 206, mass: 205.980474 },\n      { nominal: 207, mass: 206.9815938 },\n      { nominal: 208, mass: 207.9812461 },\n      { nominal: 209, mass: 208.9824308 },\n      { nominal: 210, mass: 209.9828741 },\n      { nominal: 211, mass: 210.9866536 },\n      { nominal: 212, mass: 211.9888684 },\n      { nominal: 213, mass: 212.9928576 },\n      { nominal: 214, mass: 213.9952017 },\n      { nominal: 215, mass: 214.9994201 },\n      { nominal: 216, mass: 216.0019152 },\n      { nominal: 217, mass: 217.0063182 },\n      { nominal: 218, mass: 218.0089735 },\n      { nominal: 219, mass: 219.013614 },\n      { nominal: 220, mass: 220.016386 },\n      { nominal: 221, mass: 221.021228 },\n      { nominal: 222, mass: 222.02414 },\n      { nominal: 223, mass: 223.02907 },\n      { nominal: 224, mass: 224.03211 },\n      { nominal: 225, mass: 225.03707 },\n      { nominal: 226, mass: 226.04031 },\n      { nominal: 227, mass: 227.04539 },\n    ],\n    symbol: 'Po',\n    mass: null,\n    name: 'Polonium',\n  },\n  {\n    number: 85,\n    isotopes: [\n      { nominal: 191, mass: 191.004148 },\n      { nominal: 192, mass: 192.003152 },\n      { nominal: 193, mass: 192.999927 },\n      { nominal: 194, mass: 193.999236 },\n      { nominal: 195, mass: 194.9962685 },\n      { nominal: 196, mass: 195.9958 },\n      { nominal: 197, mass: 196.993189 },\n      { nominal: 198, mass: 197.992784 },\n      { nominal: 199, mass: 198.9905277 },\n      { nominal: 200, mass: 199.990351 },\n      { nominal: 201, mass: 200.9884171 },\n      { nominal: 202, mass: 201.98863 },\n      { nominal: 203, mass: 202.986943 },\n      { nominal: 204, mass: 203.987251 },\n      { nominal: 205, mass: 204.986076 },\n      { nominal: 206, mass: 205.986657 },\n      { nominal: 207, mass: 206.9858 },\n      { nominal: 208, mass: 207.9866133 },\n      { nominal: 209, mass: 208.9861702 },\n      { nominal: 210, mass: 209.9871479 },\n      { nominal: 211, mass: 210.9874966 },\n      { nominal: 212, mass: 211.9907377 },\n      { nominal: 213, mass: 212.992937 },\n      { nominal: 214, mass: 213.9963721 },\n      { nominal: 215, mass: 214.9986528 },\n      { nominal: 216, mass: 216.0024236 },\n      { nominal: 217, mass: 217.0047192 },\n      { nominal: 218, mass: 218.008695 },\n      { nominal: 219, mass: 219.0111618 },\n      { nominal: 220, mass: 220.015433 },\n      { nominal: 221, mass: 221.018017 },\n      { nominal: 222, mass: 222.022494 },\n      { nominal: 223, mass: 223.025151 },\n      { nominal: 224, mass: 224.029749 },\n      { nominal: 225, mass: 225.03263 },\n      { nominal: 226, mass: 226.03716 },\n      { nominal: 227, mass: 227.04024 },\n      { nominal: 228, mass: 228.04475 },\n      { nominal: 229, mass: 229.04812 },\n    ],\n    symbol: 'At',\n    mass: null,\n    name: 'Astatine',\n  },\n  {\n    number: 86,\n    isotopes: [\n      { nominal: 193, mass: 193.009708 },\n      { nominal: 194, mass: 194.006144 },\n      { nominal: 195, mass: 195.005422 },\n      { nominal: 196, mass: 196.002116 },\n      { nominal: 197, mass: 197.001585 },\n      { nominal: 198, mass: 197.998679 },\n      { nominal: 199, mass: 198.99839 },\n      { nominal: 200, mass: 199.99569 },\n      { nominal: 201, mass: 200.995628 },\n      { nominal: 202, mass: 201.993264 },\n      { nominal: 203, mass: 202.993388 },\n      { nominal: 204, mass: 203.99143 },\n      { nominal: 205, mass: 204.991719 },\n      { nominal: 206, mass: 205.990214 },\n      { nominal: 207, mass: 206.9907303 },\n      { nominal: 208, mass: 207.989635 },\n      { nominal: 209, mass: 208.990415 },\n      { nominal: 210, mass: 209.9896891 },\n      { nominal: 211, mass: 210.9906011 },\n      { nominal: 212, mass: 211.9907039 },\n      { nominal: 213, mass: 212.9938831 },\n      { nominal: 214, mass: 213.995363 },\n      { nominal: 215, mass: 214.9987459 },\n      { nominal: 216, mass: 216.0002719 },\n      { nominal: 217, mass: 217.003928 },\n      { nominal: 218, mass: 218.0056016 },\n      { nominal: 219, mass: 219.0094804 },\n      { nominal: 220, mass: 220.0113941 },\n      { nominal: 221, mass: 221.0155371 },\n      { nominal: 222, mass: 222.0175782 },\n      { nominal: 223, mass: 223.0218893 },\n      { nominal: 224, mass: 224.024096 },\n      { nominal: 225, mass: 225.028486 },\n      { nominal: 226, mass: 226.030861 },\n      { nominal: 227, mass: 227.035304 },\n      { nominal: 228, mass: 228.037835 },\n      { nominal: 229, mass: 229.042257 },\n      { nominal: 230, mass: 230.04514 },\n      { nominal: 231, mass: 231.04987 },\n    ],\n    symbol: 'Rn',\n    mass: null,\n    name: 'Radon',\n  },\n  {\n    number: 87,\n    isotopes: [\n      { nominal: 199, mass: 199.007259 },\n      { nominal: 200, mass: 200.006586 },\n      { nominal: 201, mass: 201.003867 },\n      { nominal: 202, mass: 202.00332 },\n      { nominal: 203, mass: 203.0009407 },\n      { nominal: 204, mass: 204.000652 },\n      { nominal: 205, mass: 204.9985939 },\n      { nominal: 206, mass: 205.998666 },\n      { nominal: 207, mass: 206.996946 },\n      { nominal: 208, mass: 207.997138 },\n      { nominal: 209, mass: 208.995955 },\n      { nominal: 210, mass: 209.996422 },\n      { nominal: 211, mass: 210.995556 },\n      { nominal: 212, mass: 211.9962257 },\n      { nominal: 213, mass: 212.996186 },\n      { nominal: 214, mass: 213.9989713 },\n      { nominal: 215, mass: 215.0003418 },\n      { nominal: 216, mass: 216.0031899 },\n      { nominal: 217, mass: 217.0046323 },\n      { nominal: 218, mass: 218.0075787 },\n      { nominal: 219, mass: 219.0092524 },\n      { nominal: 220, mass: 220.0123277 },\n      { nominal: 221, mass: 221.0142552 },\n      { nominal: 222, mass: 222.017552 },\n      { nominal: 223, mass: 223.019736 },\n      { nominal: 224, mass: 224.023398 },\n      { nominal: 225, mass: 225.025573 },\n      { nominal: 226, mass: 226.029566 },\n      { nominal: 227, mass: 227.031869 },\n      { nominal: 228, mass: 228.035823 },\n      { nominal: 229, mass: 229.038298 },\n      { nominal: 230, mass: 230.042416 },\n      { nominal: 231, mass: 231.045158 },\n      { nominal: 232, mass: 232.04937 },\n      { nominal: 233, mass: 233.05264 },\n    ],\n    symbol: 'Fr',\n    mass: null,\n    name: 'Francium',\n  },\n  {\n    number: 88,\n    isotopes: [\n      { nominal: 201, mass: 201.01271 },\n      { nominal: 202, mass: 202.00976 },\n      { nominal: 203, mass: 203.009304 },\n      { nominal: 204, mass: 204.006492 },\n      { nominal: 205, mass: 205.006268 },\n      { nominal: 206, mass: 206.003828 },\n      { nominal: 207, mass: 207.003799 },\n      { nominal: 208, mass: 208.001841 },\n      { nominal: 209, mass: 209.00199 },\n      { nominal: 210, mass: 210.000494 },\n      { nominal: 211, mass: 211.0008932 },\n      { nominal: 212, mass: 211.999787 },\n      { nominal: 213, mass: 213.000384 },\n      { nominal: 214, mass: 214.0000997 },\n      { nominal: 215, mass: 215.0027204 },\n      { nominal: 216, mass: 216.0035334 },\n      { nominal: 217, mass: 217.0063207 },\n      { nominal: 218, mass: 218.007141 },\n      { nominal: 219, mass: 219.0100855 },\n      { nominal: 220, mass: 220.0110259 },\n      { nominal: 221, mass: 221.0139177 },\n      { nominal: 222, mass: 222.0153748 },\n      { nominal: 223, mass: 223.0185023 },\n      { nominal: 224, mass: 224.020212 },\n      { nominal: 225, mass: 225.0236119 },\n      { nominal: 226, mass: 226.0254103 },\n      { nominal: 227, mass: 227.0291783 },\n      { nominal: 228, mass: 228.0310707 },\n      { nominal: 229, mass: 229.034942 },\n      { nominal: 230, mass: 230.037055 },\n      { nominal: 231, mass: 231.041027 },\n      { nominal: 232, mass: 232.0434753 },\n      { nominal: 233, mass: 233.047582 },\n      { nominal: 234, mass: 234.050342 },\n      { nominal: 235, mass: 235.05497 },\n    ],\n    symbol: 'Ra',\n    mass: null,\n    name: 'Radium',\n  },\n  {\n    number: 89,\n    isotopes: [\n      { nominal: 206, mass: 206.014452 },\n      { nominal: 207, mass: 207.011966 },\n      { nominal: 208, mass: 208.01155 },\n      { nominal: 209, mass: 209.009495 },\n      { nominal: 210, mass: 210.009436 },\n      { nominal: 211, mass: 211.007732 },\n      { nominal: 212, mass: 212.007813 },\n      { nominal: 213, mass: 213.006609 },\n      { nominal: 214, mass: 214.006918 },\n      { nominal: 215, mass: 215.006475 },\n      { nominal: 216, mass: 216.008743 },\n      { nominal: 217, mass: 217.009344 },\n      { nominal: 218, mass: 218.011642 },\n      { nominal: 219, mass: 219.012421 },\n      { nominal: 220, mass: 220.0147549 },\n      { nominal: 221, mass: 221.015592 },\n      { nominal: 222, mass: 222.0178442 },\n      { nominal: 223, mass: 223.0191377 },\n      { nominal: 224, mass: 224.0217232 },\n      { nominal: 225, mass: 225.02323 },\n      { nominal: 226, mass: 226.0260984 },\n      { nominal: 227, mass: 227.0277523 },\n      { nominal: 228, mass: 228.0310215 },\n      { nominal: 229, mass: 229.032956 },\n      { nominal: 230, mass: 230.036327 },\n      { nominal: 231, mass: 231.038393 },\n      { nominal: 232, mass: 232.042034 },\n      { nominal: 233, mass: 233.044346 },\n      { nominal: 234, mass: 234.048139 },\n      { nominal: 235, mass: 235.05084 },\n      { nominal: 236, mass: 236.054988 },\n      { nominal: 237, mass: 237.05827 },\n    ],\n    symbol: 'Ac',\n    mass: null,\n    name: 'Actinium',\n  },\n  {\n    number: 90,\n    isotopes: [\n      { nominal: 208, mass: 208.0179 },\n      { nominal: 209, mass: 209.017753 },\n      { nominal: 210, mass: 210.015094 },\n      { nominal: 211, mass: 211.014929 },\n      { nominal: 212, mass: 212.012988 },\n      { nominal: 213, mass: 213.013009 },\n      { nominal: 214, mass: 214.0115 },\n      { nominal: 215, mass: 215.0117248 },\n      { nominal: 216, mass: 216.011056 },\n      { nominal: 217, mass: 217.013117 },\n      { nominal: 218, mass: 218.013276 },\n      { nominal: 219, mass: 219.015537 },\n      { nominal: 220, mass: 220.015748 },\n      { nominal: 221, mass: 221.018184 },\n      { nominal: 222, mass: 222.018469 },\n      { nominal: 223, mass: 223.0208119 },\n      { nominal: 224, mass: 224.021464 },\n      { nominal: 225, mass: 225.0239514 },\n      { nominal: 226, mass: 226.0249034 },\n      { nominal: 227, mass: 227.0277042 },\n      { nominal: 228, mass: 228.0287413 },\n      { nominal: 229, mass: 229.0317627 },\n      { nominal: 230, mass: 230.0331341 },\n      { nominal: 231, mass: 231.0363046 },\n      { nominal: 232, mass: 232.0380558, abundance: 1 },\n      { nominal: 233, mass: 233.0415823 },\n      { nominal: 234, mass: 234.0436014 },\n      { nominal: 235, mass: 235.047255 },\n      { nominal: 236, mass: 236.049657 },\n      { nominal: 237, mass: 237.053629 },\n      { nominal: 238, mass: 238.0565 },\n      { nominal: 239, mass: 239.06077 },\n    ],\n    symbol: 'Th',\n    mass: 232.0380558,\n    name: 'Thorium',\n    monoisotopicMass: 232.0380558,\n  },\n  {\n    number: 91,\n    isotopes: [\n      { nominal: 212, mass: 212.023203 },\n      { nominal: 213, mass: 213.021109 },\n      { nominal: 214, mass: 214.020918 },\n      { nominal: 215, mass: 215.019183 },\n      { nominal: 216, mass: 216.019109 },\n      { nominal: 217, mass: 217.018325 },\n      { nominal: 218, mass: 218.020059 },\n      { nominal: 219, mass: 219.019904 },\n      { nominal: 220, mass: 220.021705 },\n      { nominal: 221, mass: 221.021875 },\n      { nominal: 222, mass: 222.023784 },\n      { nominal: 223, mass: 223.023963 },\n      { nominal: 224, mass: 224.0256176 },\n      { nominal: 225, mass: 225.026131 },\n      { nominal: 226, mass: 226.027948 },\n      { nominal: 227, mass: 227.0288054 },\n      { nominal: 228, mass: 228.0310517 },\n      { nominal: 229, mass: 229.0320972 },\n      { nominal: 230, mass: 230.034541 },\n      { nominal: 231, mass: 231.0358842, abundance: 1 },\n      { nominal: 232, mass: 232.0385917 },\n      { nominal: 233, mass: 233.0402472 },\n      { nominal: 234, mass: 234.0433072 },\n      { nominal: 235, mass: 235.045399 },\n      { nominal: 236, mass: 236.048668 },\n      { nominal: 237, mass: 237.051023 },\n      { nominal: 238, mass: 238.054637 },\n      { nominal: 239, mass: 239.05726 },\n      { nominal: 240, mass: 240.06098 },\n      { nominal: 241, mass: 241.06408 },\n    ],\n    symbol: 'Pa',\n    mass: 231.0358842,\n    name: 'Protactinium',\n    monoisotopicMass: 231.0358842,\n  },\n  {\n    number: 92,\n    isotopes: [\n      { nominal: 217, mass: 217.02466 },\n      { nominal: 218, mass: 218.023523 },\n      { nominal: 219, mass: 219.024999 },\n      { nominal: 220, mass: 220.02462 },\n      { nominal: 221, mass: 221.02628 },\n      { nominal: 222, mass: 222.026 },\n      { nominal: 223, mass: 223.027739 },\n      { nominal: 224, mass: 224.027605 },\n      { nominal: 225, mass: 225.029391 },\n      { nominal: 226, mass: 226.029339 },\n      { nominal: 227, mass: 227.031157 },\n      { nominal: 228, mass: 228.031371 },\n      { nominal: 229, mass: 229.0335063 },\n      { nominal: 230, mass: 230.0339401 },\n      { nominal: 231, mass: 231.0362939 },\n      { nominal: 232, mass: 232.0371563 },\n      { nominal: 233, mass: 233.0396355 },\n      { nominal: 234, mass: 234.0409523, abundance: 0.000054 },\n      { nominal: 235, mass: 235.0439301, abundance: 0.007204 },\n      { nominal: 236, mass: 236.0455682 },\n      { nominal: 237, mass: 237.0487304 },\n      { nominal: 238, mass: 238.0507884, abundance: 0.992742 },\n      { nominal: 239, mass: 239.0542935 },\n      { nominal: 240, mass: 240.0565934 },\n      { nominal: 241, mass: 241.06033 },\n      { nominal: 242, mass: 242.06293 },\n      { nominal: 243, mass: 243.06699 },\n    ],\n    symbol: 'U',\n    mass: 238.0289104616574,\n    name: 'Uranium',\n    monoisotopicMass: 238.0507884,\n  },\n  {\n    number: 93,\n    isotopes: [\n      { nominal: 219, mass: 219.03143 },\n      { nominal: 220, mass: 220.03254 },\n      { nominal: 221, mass: 221.03204 },\n      { nominal: 222, mass: 222.0333 },\n      { nominal: 223, mass: 223.03285 },\n      { nominal: 224, mass: 224.03422 },\n      { nominal: 225, mass: 225.033911 },\n      { nominal: 226, mass: 226.035188 },\n      { nominal: 227, mass: 227.034957 },\n      { nominal: 228, mass: 228.036067 },\n      { nominal: 229, mass: 229.036264 },\n      { nominal: 230, mass: 230.037828 },\n      { nominal: 231, mass: 231.038245 },\n      { nominal: 232, mass: 232.04011 },\n      { nominal: 233, mass: 233.040741 },\n      { nominal: 234, mass: 234.0428953 },\n      { nominal: 235, mass: 235.0440635 },\n      { nominal: 236, mass: 236.04657 },\n      { nominal: 237, mass: 237.0481736 },\n      { nominal: 238, mass: 238.0509466 },\n      { nominal: 239, mass: 239.0529392 },\n      { nominal: 240, mass: 240.056165 },\n      { nominal: 241, mass: 241.058253 },\n      { nominal: 242, mass: 242.06164 },\n      { nominal: 243, mass: 243.06428 },\n      { nominal: 244, mass: 244.06785 },\n      { nominal: 245, mass: 245.0708 },\n    ],\n    symbol: 'Np',\n    mass: null,\n    name: 'Neptunium',\n  },\n  {\n    number: 94,\n    isotopes: [\n      { nominal: 228, mass: 228.038732 },\n      { nominal: 229, mass: 229.040144 },\n      { nominal: 230, mass: 230.03965 },\n      { nominal: 231, mass: 231.041102 },\n      { nominal: 232, mass: 232.041185 },\n      { nominal: 233, mass: 233.042998 },\n      { nominal: 234, mass: 234.0433174 },\n      { nominal: 235, mass: 235.045286 },\n      { nominal: 236, mass: 236.0460581 },\n      { nominal: 237, mass: 237.0484098 },\n      { nominal: 238, mass: 238.0495601 },\n      { nominal: 239, mass: 239.0521636 },\n      { nominal: 240, mass: 240.0538138 },\n      { nominal: 241, mass: 241.0568517 },\n      { nominal: 242, mass: 242.0587428 },\n      { nominal: 243, mass: 243.0620036 },\n      { nominal: 244, mass: 244.0642053 },\n      { nominal: 245, mass: 245.067826 },\n      { nominal: 246, mass: 246.070205 },\n      { nominal: 247, mass: 247.07419 },\n    ],\n    symbol: 'Pu',\n    mass: null,\n    name: 'Plutonium',\n  },\n  {\n    number: 95,\n    isotopes: [\n      { nominal: 230, mass: 230.04609 },\n      { nominal: 231, mass: 231.04556 },\n      { nominal: 232, mass: 232.04645 },\n      { nominal: 233, mass: 233.04644 },\n      { nominal: 234, mass: 234.04773 },\n      { nominal: 235, mass: 235.047908 },\n      { nominal: 236, mass: 236.04943 },\n      { nominal: 237, mass: 237.049996 },\n      { nominal: 238, mass: 238.051985 },\n      { nominal: 239, mass: 239.0530247 },\n      { nominal: 240, mass: 240.0553 },\n      { nominal: 241, mass: 241.0568293 },\n      { nominal: 242, mass: 242.0595494 },\n      { nominal: 243, mass: 243.0613813 },\n      { nominal: 244, mass: 244.0642851 },\n      { nominal: 245, mass: 245.0664548 },\n      { nominal: 246, mass: 246.069775 },\n      { nominal: 247, mass: 247.07209 },\n      { nominal: 248, mass: 248.07575 },\n      { nominal: 249, mass: 249.07848 },\n    ],\n    symbol: 'Am',\n    name: 'Americium',\n    mass: null,\n  },\n  {\n    number: 96,\n    isotopes: [\n      { nominal: 232, mass: 232.04982 },\n      { nominal: 233, mass: 233.05077 },\n      { nominal: 234, mass: 234.05016 },\n      { nominal: 235, mass: 235.05154 },\n      { nominal: 236, mass: 236.051374 },\n      { nominal: 237, mass: 237.052869 },\n      { nominal: 238, mass: 238.053081 },\n      { nominal: 239, mass: 239.05491 },\n      { nominal: 240, mass: 240.0555297 },\n      { nominal: 241, mass: 241.0576532 },\n      { nominal: 242, mass: 242.058836 },\n      { nominal: 243, mass: 243.0613893 },\n      { nominal: 244, mass: 244.0627528 },\n      { nominal: 245, mass: 245.0654915 },\n      { nominal: 246, mass: 246.0672238 },\n      { nominal: 247, mass: 247.0703541 },\n      { nominal: 248, mass: 248.0723499 },\n      { nominal: 249, mass: 249.0759548 },\n      { nominal: 250, mass: 250.078358 },\n      { nominal: 251, mass: 251.082286 },\n      { nominal: 252, mass: 252.08487 },\n    ],\n    symbol: 'Cm',\n    name: 'Curium',\n    mass: null,\n  },\n  {\n    number: 97,\n    isotopes: [\n      { nominal: 234, mass: 234.05727 },\n      { nominal: 235, mass: 235.05658 },\n      { nominal: 236, mass: 236.05748 },\n      { nominal: 237, mass: 237.0571 },\n      { nominal: 238, mass: 238.0582 },\n      { nominal: 239, mass: 239.05824 },\n      { nominal: 240, mass: 240.05976 },\n      { nominal: 241, mass: 241.06016 },\n      { nominal: 242, mass: 242.06198 },\n      { nominal: 243, mass: 243.0630078 },\n      { nominal: 244, mass: 244.065181 },\n      { nominal: 245, mass: 245.0663618 },\n      { nominal: 246, mass: 246.068673 },\n      { nominal: 247, mass: 247.0703073 },\n      { nominal: 248, mass: 248.073088 },\n      { nominal: 249, mass: 249.0749877 },\n      { nominal: 250, mass: 250.0783167 },\n      { nominal: 251, mass: 251.080762 },\n      { nominal: 252, mass: 252.08431 },\n      { nominal: 253, mass: 253.08688 },\n      { nominal: 254, mass: 254.0906 },\n    ],\n    symbol: 'Bk',\n    name: 'Berkelium',\n    mass: null,\n  },\n  {\n    number: 98,\n    isotopes: [\n      { nominal: 237, mass: 237.062198 },\n      { nominal: 238, mass: 238.06149 },\n      { nominal: 239, mass: 239.06253 },\n      { nominal: 240, mass: 240.062256 },\n      { nominal: 241, mass: 241.06369 },\n      { nominal: 242, mass: 242.063754 },\n      { nominal: 243, mass: 243.06548 },\n      { nominal: 244, mass: 244.0660008 },\n      { nominal: 245, mass: 245.0680487 },\n      { nominal: 246, mass: 246.0688055 },\n      { nominal: 247, mass: 247.070965 },\n      { nominal: 248, mass: 248.0721851 },\n      { nominal: 249, mass: 249.0748539 },\n      { nominal: 250, mass: 250.0764062 },\n      { nominal: 251, mass: 251.0795886 },\n      { nominal: 252, mass: 252.0816272 },\n      { nominal: 253, mass: 253.0851345 },\n      { nominal: 254, mass: 254.087324 },\n      { nominal: 255, mass: 255.09105 },\n      { nominal: 256, mass: 256.09344 },\n    ],\n    symbol: 'Cf',\n    name: 'Californium',\n    mass: null,\n  },\n  {\n    number: 99,\n    isotopes: [\n      { nominal: 239, mass: 239.06823 },\n      { nominal: 240, mass: 240.06892 },\n      { nominal: 241, mass: 241.06856 },\n      { nominal: 242, mass: 242.06957 },\n      { nominal: 243, mass: 243.06951 },\n      { nominal: 244, mass: 244.07088 },\n      { nominal: 245, mass: 245.07125 },\n      { nominal: 246, mass: 246.0729 },\n      { nominal: 247, mass: 247.073622 },\n      { nominal: 248, mass: 248.075471 },\n      { nominal: 249, mass: 249.076411 },\n      { nominal: 250, mass: 250.07861 },\n      { nominal: 251, mass: 251.0799936 },\n      { nominal: 252, mass: 252.08298 },\n      { nominal: 253, mass: 253.0848257 },\n      { nominal: 254, mass: 254.0880222 },\n      { nominal: 255, mass: 255.090275 },\n      { nominal: 256, mass: 256.0936 },\n      { nominal: 257, mass: 257.09598 },\n      { nominal: 258, mass: 258.09952 },\n    ],\n    symbol: 'Es',\n    name: 'Einsteinium',\n    mass: null,\n  },\n  {\n    number: 100,\n    isotopes: [\n      { nominal: 241, mass: 241.07421 },\n      { nominal: 242, mass: 242.07343 },\n      { nominal: 243, mass: 243.07446 },\n      { nominal: 244, mass: 244.07404 },\n      { nominal: 245, mass: 245.07535 },\n      { nominal: 246, mass: 246.07535 },\n      { nominal: 247, mass: 247.07694 },\n      { nominal: 248, mass: 248.0771865 },\n      { nominal: 249, mass: 249.0789275 },\n      { nominal: 250, mass: 250.079521 },\n      { nominal: 251, mass: 251.08154 },\n      { nominal: 252, mass: 252.0824671 },\n      { nominal: 253, mass: 253.0851846 },\n      { nominal: 254, mass: 254.0868544 },\n      { nominal: 255, mass: 255.089964 },\n      { nominal: 256, mass: 256.0917745 },\n      { nominal: 257, mass: 257.0951061 },\n      { nominal: 258, mass: 258.09708 },\n      { nominal: 259, mass: 259.1006 },\n      { nominal: 260, mass: 260.10281 },\n    ],\n    symbol: 'Fm',\n    name: 'Fermium',\n    mass: null,\n  },\n  {\n    number: 101,\n    isotopes: [\n      { nominal: 245, mass: 245.08081 },\n      { nominal: 246, mass: 246.08171 },\n      { nominal: 247, mass: 247.08152 },\n      { nominal: 248, mass: 248.08282 },\n      { nominal: 249, mass: 249.08291 },\n      { nominal: 250, mass: 250.08441 },\n      { nominal: 251, mass: 251.084774 },\n      { nominal: 252, mass: 252.08643 },\n      { nominal: 253, mass: 253.087144 },\n      { nominal: 254, mass: 254.08959 },\n      { nominal: 255, mass: 255.0910841 },\n      { nominal: 256, mass: 256.09389 },\n      { nominal: 257, mass: 257.0955424 },\n      { nominal: 258, mass: 258.0984315 },\n      { nominal: 259, mass: 259.10051 },\n      { nominal: 260, mass: 260.10365 },\n      { nominal: 261, mass: 261.10583 },\n      { nominal: 262, mass: 262.1091 },\n    ],\n    symbol: 'Md',\n    name: 'Mendelevium',\n    mass: null,\n  },\n  {\n    number: 102,\n    isotopes: [\n      { nominal: 248, mass: 248.08655 },\n      { nominal: 249, mass: 249.0878 },\n      { nominal: 250, mass: 250.08756 },\n      { nominal: 251, mass: 251.08894 },\n      { nominal: 252, mass: 252.088967 },\n      { nominal: 253, mass: 253.0905641 },\n      { nominal: 254, mass: 254.090956 },\n      { nominal: 255, mass: 255.093191 },\n      { nominal: 256, mass: 256.0942829 },\n      { nominal: 257, mass: 257.0968878 },\n      { nominal: 258, mass: 258.09821 },\n      { nominal: 259, mass: 259.10103 },\n      { nominal: 260, mass: 260.10264 },\n      { nominal: 261, mass: 261.1057 },\n      { nominal: 262, mass: 262.10746 },\n      { nominal: 263, mass: 263.11071 },\n      { nominal: 264, mass: 264.11273 },\n    ],\n    symbol: 'No',\n    name: 'Nobelium',\n    mass: null,\n  },\n  {\n    number: 103,\n    isotopes: [\n      { nominal: 251, mass: 251.09418 },\n      { nominal: 252, mass: 252.09526 },\n      { nominal: 253, mass: 253.09509 },\n      { nominal: 254, mass: 254.09648 },\n      { nominal: 255, mass: 255.096562 },\n      { nominal: 256, mass: 256.098494 },\n      { nominal: 257, mass: 257.099418 },\n      { nominal: 258, mass: 258.10176 },\n      { nominal: 259, mass: 259.102902 },\n      { nominal: 260, mass: 260.1055 },\n      { nominal: 261, mass: 261.10688 },\n      { nominal: 262, mass: 262.10961 },\n      { nominal: 263, mass: 263.11136 },\n      { nominal: 264, mass: 264.1142 },\n      { nominal: 265, mass: 265.11619 },\n      { nominal: 266, mass: 266.11983 },\n    ],\n    symbol: 'Lr',\n    name: 'Lawrencium',\n    mass: null,\n  },\n  {\n    number: 104,\n    isotopes: [\n      { nominal: 253, mass: 253.10044 },\n      { nominal: 254, mass: 254.10005 },\n      { nominal: 255, mass: 255.10127 },\n      { nominal: 256, mass: 256.101152 },\n      { nominal: 257, mass: 257.102918 },\n      { nominal: 258, mass: 258.103428 },\n      { nominal: 259, mass: 259.105596 },\n      { nominal: 260, mass: 260.10644 },\n      { nominal: 261, mass: 261.108773 },\n      { nominal: 262, mass: 262.10992 },\n      { nominal: 263, mass: 263.11249 },\n      { nominal: 264, mass: 264.11388 },\n      { nominal: 265, mass: 265.11668 },\n      { nominal: 266, mass: 266.11817 },\n      { nominal: 267, mass: 267.12179 },\n      { nominal: 268, mass: 268.12397 },\n    ],\n    symbol: 'Rf',\n    name: 'Rutherfordium',\n    mass: null,\n  },\n  {\n    number: 105,\n    isotopes: [\n      { nominal: 255, mass: 255.10707 },\n      { nominal: 256, mass: 256.10789 },\n      { nominal: 257, mass: 257.10758 },\n      { nominal: 258, mass: 258.10928 },\n      { nominal: 259, mass: 259.109492 },\n      { nominal: 260, mass: 260.1113 },\n      { nominal: 261, mass: 261.11192 },\n      { nominal: 262, mass: 262.11407 },\n      { nominal: 263, mass: 263.11499 },\n      { nominal: 264, mass: 264.11741 },\n      { nominal: 265, mass: 265.11861 },\n      { nominal: 266, mass: 266.12103 },\n      { nominal: 267, mass: 267.12247 },\n      { nominal: 268, mass: 268.12567 },\n      { nominal: 269, mass: 269.12791 },\n      { nominal: 270, mass: 270.13136 },\n    ],\n    symbol: 'Db',\n    name: 'Dubnium',\n    mass: null,\n  },\n  {\n    number: 106,\n    isotopes: [\n      { nominal: 258, mass: 258.11298 },\n      { nominal: 259, mass: 259.1144 },\n      { nominal: 260, mass: 260.114384 },\n      { nominal: 261, mass: 261.115949 },\n      { nominal: 262, mass: 262.116337 },\n      { nominal: 263, mass: 263.11829 },\n      { nominal: 264, mass: 264.11893 },\n      { nominal: 265, mass: 265.12109 },\n      { nominal: 266, mass: 266.12198 },\n      { nominal: 267, mass: 267.12436 },\n      { nominal: 268, mass: 268.12539 },\n      { nominal: 269, mass: 269.12863 },\n      { nominal: 270, mass: 270.13043 },\n      { nominal: 271, mass: 271.13393 },\n      { nominal: 272, mass: 272.13589 },\n      { nominal: 273, mass: 273.13958 },\n    ],\n    symbol: 'Sg',\n    name: 'Seaborgium',\n    mass: null,\n  },\n  {\n    number: 107,\n    isotopes: [\n      { nominal: 260, mass: 260.12166 },\n      { nominal: 261, mass: 261.12145 },\n      { nominal: 262, mass: 262.12297 },\n      { nominal: 263, mass: 263.12292 },\n      { nominal: 264, mass: 264.12459 },\n      { nominal: 265, mass: 265.12491 },\n      { nominal: 266, mass: 266.12679 },\n      { nominal: 267, mass: 267.1275 },\n      { nominal: 268, mass: 268.12969 },\n      { nominal: 269, mass: 269.13042 },\n      { nominal: 270, mass: 270.13336 },\n      { nominal: 271, mass: 271.13526 },\n      { nominal: 272, mass: 272.13826 },\n      { nominal: 273, mass: 273.14024 },\n      { nominal: 274, mass: 274.14355 },\n      { nominal: 275, mass: 275.14567 },\n    ],\n    symbol: 'Bh',\n    name: 'Bohrium',\n    mass: null,\n  },\n  {\n    number: 108,\n    isotopes: [\n      { nominal: 263, mass: 263.12852 },\n      { nominal: 264, mass: 264.128357 },\n      { nominal: 265, mass: 265.129793 },\n      { nominal: 266, mass: 266.130046 },\n      { nominal: 267, mass: 267.13167 },\n      { nominal: 268, mass: 268.13186 },\n      { nominal: 269, mass: 269.13375 },\n      { nominal: 270, mass: 270.13429 },\n      { nominal: 271, mass: 271.13717 },\n      { nominal: 272, mass: 272.1385 },\n      { nominal: 273, mass: 273.14168 },\n      { nominal: 274, mass: 274.1433 },\n      { nominal: 275, mass: 275.14667 },\n      { nominal: 276, mass: 276.14846 },\n      { nominal: 277, mass: 277.1519 },\n    ],\n    symbol: 'Hs',\n    name: 'Hassium',\n    mass: null,\n  },\n  {\n    number: 109,\n    isotopes: [\n      { nominal: 265, mass: 265.136 },\n      { nominal: 266, mass: 266.13737 },\n      { nominal: 267, mass: 267.13719 },\n      { nominal: 268, mass: 268.13865 },\n      { nominal: 269, mass: 269.13882 },\n      { nominal: 270, mass: 270.14033 },\n      { nominal: 271, mass: 271.14074 },\n      { nominal: 272, mass: 272.14341 },\n      { nominal: 273, mass: 273.1444 },\n      { nominal: 274, mass: 274.14724 },\n      { nominal: 275, mass: 275.14882 },\n      { nominal: 276, mass: 276.15159 },\n      { nominal: 277, mass: 277.15327 },\n      { nominal: 278, mass: 278.15631 },\n      { nominal: 279, mass: 279.15808 },\n    ],\n    symbol: 'Mt',\n    name: 'Meitnerium',\n    mass: null,\n  },\n  {\n    number: 110,\n    isotopes: [\n      { nominal: 267, mass: 267.14377 },\n      { nominal: 268, mass: 268.14348 },\n      { nominal: 269, mass: 269.144752 },\n      { nominal: 270, mass: 270.144584 },\n      { nominal: 271, mass: 271.14595 },\n      { nominal: 272, mass: 272.14602 },\n      { nominal: 273, mass: 273.14856 },\n      { nominal: 274, mass: 274.14941 },\n      { nominal: 275, mass: 275.15203 },\n      { nominal: 276, mass: 276.15303 },\n      { nominal: 277, mass: 277.15591 },\n      { nominal: 278, mass: 278.15704 },\n      { nominal: 279, mass: 279.1601 },\n      { nominal: 280, mass: 280.16131 },\n      { nominal: 281, mass: 281.16451 },\n    ],\n    symbol: 'Ds',\n    name: 'Darmstadtium',\n    mass: null,\n  },\n  {\n    number: 111,\n    isotopes: [\n      { nominal: 272, mass: 272.15327 },\n      { nominal: 273, mass: 273.15313 },\n      { nominal: 274, mass: 274.15525 },\n      { nominal: 275, mass: 275.15594 },\n      { nominal: 276, mass: 276.15833 },\n      { nominal: 277, mass: 277.15907 },\n      { nominal: 278, mass: 278.16149 },\n      { nominal: 279, mass: 279.16272 },\n      { nominal: 280, mass: 280.16514 },\n      { nominal: 281, mass: 281.16636 },\n      { nominal: 282, mass: 282.16912 },\n      { nominal: 283, mass: 283.17054 },\n    ],\n    symbol: 'Rg',\n    name: 'Roentgenium',\n    mass: null,\n  },\n  {\n    number: 112,\n    isotopes: [\n      { nominal: 276, mass: 276.16141 },\n      { nominal: 277, mass: 277.16364 },\n      { nominal: 278, mass: 278.16416 },\n      { nominal: 279, mass: 279.16654 },\n      { nominal: 280, mass: 280.16715 },\n      { nominal: 281, mass: 281.16975 },\n      { nominal: 282, mass: 282.1705 },\n      { nominal: 283, mass: 283.17327 },\n      { nominal: 284, mass: 284.17416 },\n      { nominal: 285, mass: 285.17712 },\n    ],\n    symbol: 'Cn',\n    name: 'Copernicium',\n    mass: null,\n  },\n  {\n    number: 113,\n    isotopes: [\n      { nominal: 278, mass: 278.17058 },\n      { nominal: 279, mass: 279.17095 },\n      { nominal: 280, mass: 280.17293 },\n      { nominal: 281, mass: 281.17348 },\n      { nominal: 282, mass: 282.17567 },\n      { nominal: 283, mass: 283.17657 },\n      { nominal: 284, mass: 284.17873 },\n      { nominal: 285, mass: 285.17973 },\n      { nominal: 286, mass: 286.18221 },\n      { nominal: 287, mass: 287.18339 },\n    ],\n    symbol: 'Nh',\n    name: 'Nihonium',\n    mass: null,\n  },\n  {\n    number: 114,\n    isotopes: [\n      { nominal: 285, mass: 285.18364 },\n      { nominal: 286, mass: 286.18423 },\n      { nominal: 287, mass: 287.18678 },\n      { nominal: 288, mass: 288.18757 },\n      { nominal: 289, mass: 289.19042 },\n    ],\n    symbol: 'Fl',\n    name: 'Flerovium',\n    mass: null,\n  },\n  {\n    number: 115,\n    isotopes: [\n      { nominal: 287, mass: 287.1907 },\n      { nominal: 288, mass: 288.19274 },\n      { nominal: 289, mass: 289.19363 },\n      { nominal: 290, mass: 290.19598 },\n      { nominal: 291, mass: 291.19707 },\n    ],\n    symbol: 'Mc',\n    name: 'Moscovium',\n    mass: null,\n  },\n  {\n    number: 116,\n    isotopes: [\n      { nominal: 289, mass: 289.19816 },\n      { nominal: 290, mass: 290.19864 },\n      { nominal: 291, mass: 291.20108 },\n      { nominal: 292, mass: 292.20174 },\n      { nominal: 293, mass: 293.20449 },\n    ],\n    symbol: 'Lv',\n    name: 'Livermorium',\n    mass: null,\n  },\n  {\n    number: 117,\n    isotopes: [\n      { nominal: 291, mass: 291.20553 },\n      { nominal: 292, mass: 292.20746 },\n      { nominal: 293, mass: 293.20824 },\n      { nominal: 294, mass: 294.21046 },\n    ],\n    symbol: 'Ts',\n    name: 'Teennessine',\n    mass: null,\n  },\n  {\n    number: 118,\n    isotopes: [\n      { nominal: 293, mass: 293.21356 },\n      { nominal: 294, mass: 294.21392 },\n      { nominal: 295, mass: 295.21624 },\n    ],\n    symbol: 'Og',\n    name: 'Oganesson',\n    mass: null,\n  },\n];\n","import { elementsAndIsotopes } from './elementsAndIsotopes.js';\n\nexport const elements = elementsAndIsotopes.map((element) => ({\n  number: element.number,\n  symbol: element.symbol,\n  mass: element.mass,\n  name: element.name,\n  monoisotopicMass: element.monoisotopicMass,\n}));\n","import { elementsAndIsotopes } from './elementsAndIsotopes.js';\n\nexport const elementsAndIsotopesObject = {};\nelementsAndIsotopes.forEach((element) => {\n  elementsAndIsotopesObject[element.symbol] = element;\n});\n","import { elementsAndIsotopes } from './elementsAndIsotopes.js';\n\nexport const elementsAndStableIsotopes = JSON.parse(\n  JSON.stringify(elementsAndIsotopes),\n);\n\nelementsAndStableIsotopes.forEach((element) => {\n  element.isotopes = element.isotopes.filter((i) => i.abundance > 0);\n});\n","import { elementsAndStableIsotopes } from './elementsAndStableIsotopes.js';\n\nexport const elementsAndStableIsotopesObject = {};\nelementsAndStableIsotopes.forEach((element) => {\n  elementsAndStableIsotopesObject[element.symbol] = element;\n});\n","import { elements } from './elements.js';\n\nexport const elementsObject = {};\nelements.forEach((element) => {\n  elementsObject[element.symbol] = element;\n});\n","import { elementsAndIsotopes } from './elementsAndIsotopes.js';\n\nexport const stableIsotopesObject = {};\nfor (const element of elementsAndIsotopes) {\n  let abundance = 0;\n  let mostAbundant = 0;\n  for (const isotope of element.isotopes) {\n    if (isotope.abundance > abundance) {\n      abundance = isotope.abundance;\n      mostAbundant = isotope.nominal;\n    }\n  }\n\n  for (const isotope of element.isotopes) {\n    if (isotope.abundance === 0) continue;\n\n    const entry = {\n      name: element.name,\n      mass: isotope.mass,\n      symbol: element.symbol,\n    };\n    if (isotope.nominal === mostAbundant) {\n      entry.mostAbundant = true;\n    }\n    stableIsotopesObject[isotope.nominal + element.symbol] = entry;\n  }\n}\n","import { elementsAndIsotopesObject as elements } from './elementsAndIsotopesObject';\n\nexport const isotopesObject = {};\nObject.keys(elements).forEach((key) => {\n  let e = elements[key];\n  e.isotopes.forEach((i) => {\n    isotopesObject[i.nominal + key] = {\n      abundance: i.abundance,\n      mass: i.mass,\n    };\n  });\n});\n","export const unsaturationsObject = {\n  O: 0,\n  N: 1,\n  H: -1,\n  Na: -1,\n  K: -1,\n  Li: -1,\n  Ca: -2,\n  C: 2,\n  F: -1,\n  Si: 2,\n  Cl: -1,\n  Br: -1,\n  I: -1,\n  S: 0,\n  P: 1,\n};\n","import { elementsObject } from 'chemical-elements';\n\nconst elements = Object.keys(elementsObject).sort(\n  (a, b) => b.length - a.length,\n);\n\n/**\n * Ensure that the mf has been entered with capital letters and not only lowercase\n * If there is only lowercase we try to capitalize the mf\n * @param {string} mf\n */\n\nexport function ensureCase(mf) {\n  for (let i = 0; i < mf.length; i++) {\n    if (mf.charCodeAt(i) > 64 && mf.charCodeAt(i) < 91) {\n      return mf;\n    }\n  }\n  let parts = mf.replace(/([a-z]*)([^a-z]*)/g, '$1 $2 ').split(/ +/);\n  for (let i = 0; i < parts.length; i++) {\n    if (parts[i].match(/^[a-z]$/)) {\n      parts[i] = parts[i].toUpperCase();\n    } else if (parts[i].match(/^[a-z]+$/)) {\n      let newPart = '';\n      for (let j = 0; j < parts[i].length; j++) {\n        let two = parts[i].substr(j, 2);\n        let one = parts[i].charAt(j).toUpperCase();\n        if (\n          ['c', 'h', 'o', 'n'].includes(two.charAt(0)) &&\n          ['h', 'o', 'n'].includes(two.charAt(1))\n        ) {\n          newPart += two.toUpperCase();\n          j++;\n        } else {\n          two = two.charAt(0).toUpperCase() + two.charAt(1);\n          if (elements.includes(two)) {\n            newPart += two;\n            j++;\n          } else if (elements.includes(one)) {\n            newPart += one;\n          } else {\n            return mf;\n          }\n        }\n      }\n      parts[i] = newPart;\n    }\n  }\n  return parts.join('');\n}\n","export const groups = [{\"symbol\":\"Abu\",\"name\":\"2-Aminobutyric acid diradical\",\"mf\":\"C4H7NO\",\"ocl\":{\"value\":\"dazHPBPOEgEInVZjcH@\",\"coordinates\":\"!Bb@I~@Ha}_c~H@m]}bGt\"},\"mass\":85.10463700109551,\"monoisotopicMass\":85.05276384961,\"unsaturation\":2,\"elements\":[{\"symbol\":\"C\",\"number\":4},{\"symbol\":\"H\",\"number\":7},{\"symbol\":\"N\",\"number\":1},{\"symbol\":\"O\",\"number\":1}]},{\"symbol\":\"Acet\",\"name\":\"Acetyl\",\"mf\":\"C2H3O\",\"ocl\":{\"value\":\"gCaHDEeIi`@\",\"coordinates\":\"!BbOq~@Ha}\"},\"mass\":43.04469897995611,\"monoisotopicMass\":43.01838971626,\"unsaturation\":1,\"elements\":[{\"symbol\":\"C\",\"number\":2},{\"symbol\":\"H\",\"number\":3},{\"symbol\":\"O\",\"number\":1}]},{\"symbol\":\"Acm\",\"name\":\"Acetamidomethyl\",\"mf\":\"C3H6NO\",\"ocl\":{\"value\":\"gGYHDPliJuS@@\",\"coordinates\":\"!BbOrH_Xc|_`BH_P\"},\"mass\":72.08596035030448,\"monoisotopicMass\":72.04493881738,\"unsaturation\":1,\"elements\":[{\"symbol\":\"C\",\"number\":3},{\"symbol\":\"H\",\"number\":6},{\"symbol\":\"N\",\"number\":1},{\"symbol\":\"O\",\"number\":1}]},{\"symbol\":\"Adao\",\"name\":\"Adamantyloxy\",\"mf\":\"C10H15O\",\"ocl\":{\"value\":\"dc\\\\H`HAYRVeV^dUGZjjjj@@\",\"coordinates\":\"!B]BOXN`EP}CdB\\\\tbZ@Ijh~hRELdOBBp\"},\"mass\":151.2258752025074,\"monoisotopicMass\":151.11229010302,\"unsaturation\":5,\"elements\":[{\"symbol\":\"C\",\"number\":10},{\"symbol\":\"H\",\"number\":15},{\"symbol\":\"O\",\"number\":1}]},{\"symbol\":\"Aib\",\"name\":\"alpha-Aminoisobutyric acid diradical\",\"mf\":\"C4H7NO\",\"ocl\":{\"value\":\"dazHPBPOGgEInfZj@@\",\"coordinates\":\"!Bb@I~@Ha}b@K|uwwWbGt\"},\"mass\":85.10463700109551,\"monoisotopicMass\":85.05276384961,\"unsaturation\":2,\"elements\":[{\"symbol\":\"C\",\"number\":4},{\"symbol\":\"H\",\"number\":7},{\"symbol\":\"N\",\"number\":1},{\"symbol\":\"O\",\"number\":1}]},{\"symbol\":\"Ala\",\"name\":\"Alanine diradical\",\"mf\":\"C3H5NO\",\"kind\":\"aa\",\"oneLetter\":\"A\",\"alternativeOneLetter\":\"α\",\"ocl\":{\"value\":\"gNyDBaxmqR[fZjZ@\",\"coordinates\":\"!BbOr~@H`}bOr~Wxb}\"},\"mass\":71.07801959624871,\"monoisotopicMass\":71.03711378515,\"unsaturation\":2,\"elements\":[{\"symbol\":\"C\",\"number\":3},{\"symbol\":\"H\",\"number\":5},{\"symbol\":\"N\",\"number\":1},{\"symbol\":\"O\",\"number\":1}]},{\"symbol\":\"Arg\",\"name\":\"Arginine diradical\",\"mf\":\"C6H12N4O\",\"kind\":\"aa\",\"oneLetter\":\"R\",\"alternativeOneLetter\":\"ρ\",\"ocl\":{\"value\":\"dkLhPBgSPOEgEInWUijjihr@@\",\"coordinates\":\"!Bb@I~@Ha}_c~H@m]}bGvHHa}b@I~@Ha}\"},\"mass\":156.18592219918227,\"monoisotopicMass\":156.10111102405,\"unsaturation\":4,\"elements\":[{\"symbol\":\"C\",\"number\":6},{\"symbol\":\"H\",\"number\":12},{\"symbol\":\"N\",\"number\":4},{\"symbol\":\"O\",\"number\":1}]},{\"symbol\":\"Argp\",\"name\":\"Arginine triradical\",\"mf\":\"C6H11N4O\",\"ocl\":{\"value\":\"dglhpHpil@gWDEI[UYZfjji`T@\",\"coordinates\":\"!BbGvHGx@bGvH@ha}bOrH_Wxb@KW_Wx@bGt\"},\"mass\":155.1779814451265,\"monoisotopicMass\":155.09328599182,\"unsaturation\":5,\"elements\":[{\"symbol\":\"C\",\"number\":6},{\"symbol\":\"H\",\"number\":11},{\"symbol\":\"N\",\"number\":4},{\"symbol\":\"O\",\"number\":1}]},{\"symbol\":\"Asn\",\"name\":\"Asparagine diradical\",\"mf\":\"C4H6N2O2\",\"kind\":\"aa\",\"oneLetter\":\"N\",\"alternativeOneLetter\":\"η\",\"ocl\":{\"value\":\"deeDPBeACqYqR[ezZjZL`@\",\"coordinates\":\"!BbGu~Ox`B_`BH_X`Bb@I~@Ha}\"},\"mass\":114.10280438280381,\"monoisotopicMass\":114.04292744137999,\"unsaturation\":4,\"elements\":[{\"symbol\":\"C\",\"number\":4},{\"symbol\":\"H\",\"number\":6},{\"symbol\":\"N\",\"number\":2},{\"symbol\":\"O\",\"number\":2}]},{\"symbol\":\"Asnp\",\"name\":\"Asparagine triradical\",\"mf\":\"C4H5N2O2\",\"ocl\":{\"value\":\"dmUDpH[E@IEqgqRVvVijjXi@@\",\"coordinates\":\"!Bb@JH_Wxb@JH_Wxb@KW_Wx@bGt\"},\"mass\":113.09486362874803,\"monoisotopicMass\":113.03510240915,\"unsaturation\":5,\"elements\":[{\"symbol\":\"C\",\"number\":4},{\"symbol\":\"H\",\"number\":5},{\"symbol\":\"N\",\"number\":2},{\"symbol\":\"O\",\"number\":2}]},{\"symbol\":\"Asp\",\"name\":\"Aspartic acid diradical\",\"mf\":\"C4H5NO3\",\"kind\":\"aa\",\"oneLetter\":\"D\",\"alternativeOneLetter\":\"δ\",\"ocl\":{\"value\":\"defLPBPYCqYqR[ezZjZL`@\",\"coordinates\":\"!BbGu~Ox`B_`BH_X`Bb@I~@Ha}\"},\"mass\":115.08756534162052,\"monoisotopicMass\":115.02694302429,\"unsaturation\":4,\"elements\":[{\"symbol\":\"C\",\"number\":4},{\"symbol\":\"H\",\"number\":5},{\"symbol\":\"N\",\"number\":1},{\"symbol\":\"O\",\"number\":3}]},{\"symbol\":\"Aspp\",\"name\":\"Aspartic acid triradical\",\"mf\":\"C4H4NO3\",\"ocl\":{\"value\":\"dmVLpFcE@IEqgqRVvVijjXi@@\",\"coordinates\":\"!Bb@JH_Wxb@JH_Wxb@KW_Wx@bGt\"},\"mass\":114.07962458756472,\"monoisotopicMass\":114.01911799206,\"unsaturation\":5,\"elements\":[{\"symbol\":\"C\",\"number\":4},{\"symbol\":\"H\",\"number\":4},{\"symbol\":\"N\",\"number\":1},{\"symbol\":\"O\",\"number\":3}]},{\"symbol\":\"Asu\",\"name\":\"alpha-Aminosuberic acid diradical\",\"mf\":\"C8H13NO3\",\"ocl\":{\"value\":\"dgnLPBP{CqYqR[euVfjjihr@@\",\"coordinates\":\"!BbGu~Ox`B_`BH_Xc|bOrH_X`BbGvHGx@bGt\"},\"mass\":171.19403496100773,\"monoisotopicMass\":171.08954328213002,\"unsaturation\":4,\"elements\":[{\"symbol\":\"C\",\"number\":8},{\"symbol\":\"H\",\"number\":13},{\"symbol\":\"N\",\"number\":1},{\"symbol\":\"O\",\"number\":3}]},{\"symbol\":\"Asup\",\"name\":\"alpha-Aminosuberic acid triradical\",\"mf\":\"C8H12NO3\",\"ocl\":{\"value\":\"do^LpEcG@IMqoqRVuUejZjjibT@\",\"coordinates\":\"!BbOrH_Wxb@JH_Xc|bGvHHa}_c~H@m]}_`BH_P\"},\"mass\":170.18609420695194,\"monoisotopicMass\":170.0817182499,\"unsaturation\":5,\"elements\":[{\"symbol\":\"C\",\"number\":8},{\"symbol\":\"H\",\"number\":12},{\"symbol\":\"N\",\"number\":1},{\"symbol\":\"O\",\"number\":3}]},{\"symbol\":\"Boc\",\"name\":\"t-Butoxycarbonyl\",\"mf\":\"C5H9O2\",\"ocl\":{\"value\":\"daxD`DpEeImjZj@@\",\"coordinates\":\"!B|Ou~_A||Ow}mC}_O@\"},\"mass\":101.12395611881479,\"monoisotopicMass\":101.06025452921,\"unsaturation\":1,\"elements\":[{\"symbol\":\"C\",\"number\":5},{\"symbol\":\"H\",\"number\":9},{\"symbol\":\"O\",\"number\":2}]},{\"symbol\":\"Bom\",\"name\":\"Benzyloxymethyl\",\"mf\":\"C8H9O\",\"ocl\":{\"value\":\"deTH`DAYRUYTYj`@@@\",\"coordinates\":\"!B|Gsp__A||Owp_Gy|Gwp_Wy\"},\"mass\":121.15675888470227,\"monoisotopicMass\":121.06533990964,\"unsaturation\":7,\"elements\":[{\"symbol\":\"C\",\"number\":8},{\"symbol\":\"H\",\"number\":9},{\"symbol\":\"O\",\"number\":1}]},{\"symbol\":\"Brz\",\"name\":\"2-Bromobenzyloxycarbonyl\",\"mf\":\"C8H6BrO2\",\"ocl\":{\"value\":\"dcLDPDpEd\\\\QImYgWYjB@@@\",\"coordinates\":\"!Bb@I~@Hb}b@JH_X`B_c}~@Hb}bGu~Op\"},\"mass\":214.03586932736317,\"monoisotopicMass\":212.95511703252,\"unsaturation\":9,\"elements\":[{\"symbol\":\"C\",\"number\":8},{\"symbol\":\"H\",\"number\":6},{\"symbol\":\"Br\",\"number\":1},{\"symbol\":\"O\",\"number\":2}]},{\"symbol\":\"Bu\",\"name\":\"Butyl\",\"mf\":\"C4H9\",\"ocl\":{\"value\":\"gJPH@liJuP@\",\"coordinates\":\"!B@Fp@XpAl@FL\"},\"mass\":57.114410373442986,\"monoisotopicMass\":57.07042529007,\"unsaturation\":-1,\"elements\":[{\"symbol\":\"C\",\"number\":4},{\"symbol\":\"H\",\"number\":9}]},{\"symbol\":\"Bum\",\"name\":\"t-Butoxymethyl\",\"mf\":\"C5H11O\",\"ocl\":{\"value\":\"gNqHDEeIVjj`@\",\"coordinates\":\"!B@FL@[@AcXs|@Xvp@\"},\"mass\":87.14043270260808,\"monoisotopicMass\":87.08098997409999,\"unsaturation\":-1,\"elements\":[{\"symbol\":\"C\",\"number\":5},{\"symbol\":\"H\",\"number\":11},{\"symbol\":\"O\",\"number\":1}]},{\"symbol\":\"Bz\",\"name\":\"Benzoyl\",\"mf\":\"C7H5O\",\"ocl\":{\"value\":\"didH`DAYR[e^FX@@@@\",\"coordinates\":\"!BbOq~@Ha}b@I~Oxa}bGu~Op\"},\"mass\":105.1142599717439,\"monoisotopicMass\":105.03403978072,\"unsaturation\":9,\"elements\":[{\"symbol\":\"C\",\"number\":7},{\"symbol\":\"H\",\"number\":5},{\"symbol\":\"O\",\"number\":1}]},{\"symbol\":\"Bzl\",\"name\":\"Benzyl\",\"mf\":\"C7H7\",\"ocl\":{\"value\":\"daD@`@VTeeVz`@@@\",\"coordinates\":\"!B|Gsp_A|_gp_A}_g|\"},\"mass\":91.13073655553718,\"monoisotopicMass\":91.05477522561,\"unsaturation\":7,\"elements\":[{\"symbol\":\"C\",\"number\":7},{\"symbol\":\"H\",\"number\":7}]},{\"symbol\":\"Bn\",\"name\":\"Benzyl\",\"mf\":\"C7H7\",\"ocl\":{\"value\":\"daD@`@VTeeVz`@@@\",\"coordinates\":\"!B|Gsp_A|_gp_A}_g|\"},\"mass\":91.13073655553718,\"monoisotopicMass\":91.05477522561,\"unsaturation\":7,\"elements\":[{\"symbol\":\"C\",\"number\":7},{\"symbol\":\"H\",\"number\":7}]},{\"symbol\":\"Bzlo\",\"name\":\"Benzyloxy\",\"mf\":\"C7H7O\",\"ocl\":{\"value\":\"didH`HAYRUe^Fh@@@@\",\"coordinates\":\"!B|Gwp_OC}|Gq~_A}|Gu~_p\"},\"mass\":107.13014147985547,\"monoisotopicMass\":107.04968984518,\"unsaturation\":7,\"elements\":[{\"symbol\":\"C\",\"number\":7},{\"symbol\":\"H\",\"number\":7},{\"symbol\":\"O\",\"number\":1}]},{\"symbol\":\"Cha\",\"name\":\"beta-Cyclohexylalanine diradical\",\"mf\":\"C9H15NO\",\"ocl\":{\"value\":\"dknHPBPOEgEInWe]NZjjjcH@\",\"coordinates\":\"!Bb@I~@Ha}_c~H@m]}bGvH@gxbGvH_Wx\"},\"mass\":153.22184251721796,\"monoisotopicMass\":153.11536410745,\"unsaturation\":4,\"elements\":[{\"symbol\":\"C\",\"number\":9},{\"symbol\":\"H\",\"number\":15},{\"symbol\":\"N\",\"number\":1},{\"symbol\":\"O\",\"number\":1}]},{\"symbol\":\"Chxo\",\"name\":\"Cyclohexyloxy\",\"mf\":\"C6H11O\",\"ocl\":{\"value\":\"daDH`HAYRVU[jjj@@\",\"coordinates\":\"!B|Gsp_A|_gp_A}_g|\"},\"mass\":99.15116859934332,\"monoisotopicMass\":99.08098997409999,\"unsaturation\":1,\"elements\":[{\"symbol\":\"C\",\"number\":6},{\"symbol\":\"H\",\"number\":11},{\"symbol\":\"O\",\"number\":1}]},{\"symbol\":\"Cit\",\"name\":\"Citrulline diradical\",\"mf\":\"C6H11N3O2\",\"ocl\":{\"value\":\"dkODPBdttOEgEInWUijjihr@@\",\"coordinates\":\"!Bb@I~@Ha}_c~H@m]}bGvHHa}b@I~@Ha}\"},\"mass\":157.170683157999,\"monoisotopicMass\":157.08512660696,\"unsaturation\":4,\"elements\":[{\"symbol\":\"C\",\"number\":6},{\"symbol\":\"H\",\"number\":11},{\"symbol\":\"N\",\"number\":3},{\"symbol\":\"O\",\"number\":2}]},{\"symbol\":\"Citp\",\"name\":\"Citrulline triradical\",\"mf\":\"C6H10N3O2\",\"ocl\":{\"value\":\"dgoDpHJ\\\\l@gWDEI[UYZfjji`T@\",\"coordinates\":\"!BbGvHGx@bGvH@ha}bOrH_Wxb@KW_Wx@bGt\"},\"mass\":156.16274240394318,\"monoisotopicMass\":156.07730157473,\"unsaturation\":5,\"elements\":[{\"symbol\":\"C\",\"number\":6},{\"symbol\":\"H\",\"number\":10},{\"symbol\":\"N\",\"number\":3},{\"symbol\":\"O\",\"number\":2}]},{\"symbol\":\"Clz\",\"name\":\"2-Chlorobenzyloxycarbonyl\",\"mf\":\"C8H6ClO2\",\"ocl\":{\"value\":\"dcLDPDpEdXaImYgWYjB@@@\",\"coordinates\":\"!Bb@I~@Hb}b@JH_X`B_c}~@Hb}bGu~Op\"},\"mass\":169.58527912946118,\"monoisotopicMass\":169.00563211451998,\"unsaturation\":9,\"elements\":[{\"symbol\":\"C\",\"number\":8},{\"symbol\":\"H\",\"number\":6},{\"symbol\":\"Cl\",\"number\":1},{\"symbol\":\"O\",\"number\":2}]},{\"symbol\":\"Cp\",\"name\":\"Cyclopentadienyl\",\"mf\":\"C5H5\",\"ocl\":{\"value\":\"gFpH@liLimRp@\",\"coordinates\":\"!B\\\\OtPThyEGl@fP\"},\"mass\":65.09338325395512,\"monoisotopicMass\":65.03912516115,\"unsaturation\":5,\"elements\":[{\"symbol\":\"C\",\"number\":5},{\"symbol\":\"H\",\"number\":5}]},{\"symbol\":\"Cys\",\"name\":\"Cysteine diradical\",\"mf\":\"C3H5NOS\",\"kind\":\"aa\",\"oneLetter\":\"C\",\"alternativeOneLetter\":\"ς\",\"ocl\":{\"value\":\"dazHpBPOEgG`aInVZjcH@\",\"coordinates\":\"!Bb@I~@Ha}_c~H@m]}bGt\"},\"mass\":103.14280700237578,\"monoisotopicMass\":103.00918495955,\"unsaturation\":2,\"elements\":[{\"symbol\":\"C\",\"number\":3},{\"symbol\":\"H\",\"number\":5},{\"symbol\":\"N\",\"number\":1},{\"symbol\":\"O\",\"number\":1},{\"symbol\":\"S\",\"number\":1}]},{\"symbol\":\"Cysp\",\"name\":\"Cysteine triradical\",\"mf\":\"C3H4NOS\",\"ocl\":{\"value\":\"diFHHBD@f@agGoEIVVjjfLP@\",\"coordinates\":\"!BbGvHHa}_c~HM]}_`BH_P\"},\"mass\":102.13486624831998,\"monoisotopicMass\":102.00135992732,\"unsaturation\":3,\"elements\":[{\"symbol\":\"C\",\"number\":3},{\"symbol\":\"H\",\"number\":4},{\"symbol\":\"N\",\"number\":1},{\"symbol\":\"O\",\"number\":1},{\"symbol\":\"S\",\"number\":1}]},{\"symbol\":\"D\",\"name\":\"Deuterium\",\"mf\":\"[2H]\",\"ocl\":{\"value\":\"eFAAYhBLCEH@\",\"coordinates\":\"!B@BL\"},\"mass\":2.01410177812,\"monoisotopicMass\":2.01410177812,\"unsaturation\":-1,\"elements\":[{\"symbol\":\"H\",\"number\":1,\"isotope\":2}]},{\"symbol\":\"Dde\",\"name\":\"Dde\",\"mf\":\"C10H13O2\",\"ocl\":{\"value\":\"dklD`FDEgHhihicIVZfZj@@\",\"coordinates\":\"!Bb@I~@Ha}upJH@m]}_`BH_Wx@b@I}bOrH\"},\"mass\":165.20939861871415,\"monoisotopicMass\":165.09155465812998,\"unsaturation\":7,\"elements\":[{\"symbol\":\"C\",\"number\":10},{\"symbol\":\"H\",\"number\":13},{\"symbol\":\"O\",\"number\":2}]},{\"symbol\":\"Dnp\",\"name\":\"2,4-Dinitrophenyl\",\"mf\":\"C6H3N2O4\",\"ocl\":{\"value\":\"dkmB`bWatpVRd^VS{HhheEUFfBAbX@@\",\"coordinates\":\"!B_c~H_]]}b@I~Owx_`BH_]]}_c~H_]]}\"},\"mass\":167.09926376274353,\"monoisotopicMass\":167.00928158383,\"unsaturation\":11,\"elements\":[{\"symbol\":\"C\",\"number\":6},{\"symbol\":\"H\",\"number\":3},{\"symbol\":\"N\",\"number\":2},{\"symbol\":\"O\",\"number\":4}]},{\"symbol\":\"Et\",\"name\":\"Ethyl\",\"mf\":\"C2H5\",\"ocl\":{\"value\":\"eMBAYRZ@\",\"coordinates\":\"!B@Fp@Xp\"},\"mass\":29.061175563749384,\"monoisotopicMass\":29.03912516115,\"unsaturation\":-1,\"elements\":[{\"symbol\":\"C\",\"number\":2},{\"symbol\":\"H\",\"number\":5}]},{\"symbol\":\"Fmoc\",\"name\":\"Fluorenylmethoxycarbonyl\",\"mf\":\"C15H11O2\",\"ocl\":{\"value\":\"fde@b@DX@liMkLrjxeVCzLuT@@@P@@@\",\"coordinates\":\"!BbOq~@Ha}bOrH_]ARcm}Tv~i`pAeKv|@fpB[j[~iozfAKvp\"},\"mass\":223.24719659427882,\"monoisotopicMass\":223.07590459367,\"unsaturation\":19,\"elements\":[{\"symbol\":\"C\",\"number\":15},{\"symbol\":\"H\",\"number\":11},{\"symbol\":\"O\",\"number\":2}]},{\"symbol\":\"For\",\"name\":\"Formyl\",\"mf\":\"CHO\",\"ocl\":{\"value\":\"eMJDVTfP@\",\"coordinates\":\"!B@Fp@Xp\"},\"mass\":29.018081575109303,\"monoisotopicMass\":29.0027396518,\"unsaturation\":1,\"elements\":[{\"symbol\":\"C\",\"number\":1},{\"symbol\":\"H\",\"number\":1},{\"symbol\":\"O\",\"number\":1}]},{\"symbol\":\"Gln\",\"name\":\"Glutamine 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diradical\",\"mf\":\"C5H7NO3\",\"kind\":\"aa\",\"oneLetter\":\"E\",\"alternativeOneLetter\":\"ε\",\"ocl\":{\"value\":\"dmVLPBRUCqYqR[evfjihr@@\",\"coordinates\":\"!Bb@I~@Ha}_c~H@m]}bGvHGx@bGt\"},\"mass\":129.11418274646732,\"monoisotopicMass\":129.04259308875,\"unsaturation\":4,\"elements\":[{\"symbol\":\"C\",\"number\":5},{\"symbol\":\"H\",\"number\":7},{\"symbol\":\"N\",\"number\":1},{\"symbol\":\"O\",\"number\":3}]},{\"symbol\":\"Glup\",\"name\":\"Glutamic acid triradical\",\"mf\":\"C5H6NO3\",\"ocl\":{\"value\":\"dcvLpNcM@IeqWqRVuejZjiad@\",\"coordinates\":\"!BbGvHGx@bGvH@ha}_c~HM]}_`BH_P\"},\"mass\":128.10624199241153,\"monoisotopicMass\":128.03476805652002,\"unsaturation\":5,\"elements\":[{\"symbol\":\"C\",\"number\":5},{\"symbol\":\"H\",\"number\":6},{\"symbol\":\"N\",\"number\":1},{\"symbol\":\"O\",\"number\":3}]},{\"symbol\":\"Gly\",\"name\":\"Glycine 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4355N\",\"mf\":\"C25H37N7O18P3S\",\"kind\":\"Nucleotide\",\"oneLetter\":\"♦\",\"ocl\":{\"value\":\"eny~DjDCHlemnSTLBAEKBjfckgbV]XzvpOFCpB|IoCtHZy{lbdvbbfrbTRdRNRdnTbefRTrRTrTdTRrFVfjjjj`V`bZjjfjZjZfhHhcDxTd@@\",\"coordinates\":\"!B[~kjXFjiV[Ry|fcm}MtGwWctvH_]Q_c}KaGwWbGvN`H}MgrX@_gx@h`gKB\\\\lbGvOSX}M@m^H@gwWbGvH@ha}_Xc|bGxb@I~@Ha}b@JH_X`B_`BH_X`BbGvH@ha}_c~H@ha}b@I~@Ha}\"},\"mass\":848.5844898376815,\"monoisotopicMass\":848.11286454544,\"unsaturation\":23,\"elements\":[{\"symbol\":\"C\",\"number\":25},{\"symbol\":\"H\",\"number\":37},{\"symbol\":\"N\",\"number\":7},{\"symbol\":\"O\",\"number\":18},{\"symbol\":\"P\",\"number\":3},{\"symbol\":\"S\",\"number\":1}]},{\"symbol\":\"Dpc\",\"name\":\"5′-(3′-dephospho-CoA) radical 455N\",\"mf\":\"C21H32N7O13P2S\",\"kind\":\"Nucleotide\",\"oneLetter\":\"♠\",\"ocl\":{\"value\":\"ek_^KBDIG@nabYXJNEHdliemh\\\\QPEfspZ|CPcKmnrIQQSYQJIRIGIRWJQRsIJYIccpJkjjjjjAZBIjjjZijjBDIaBDq@@\",\"coordinates\":\"!B[zW[UI|YchAMc{vHcuJH@m~NbGuKvwvHb@JNwx}Rgqe}bHa}@h`gDr\\\\Sb@JOTh}R@m]~@@A~b@I~@H`B_X`_hb}_`CW@h`B_`BH@gx@upJH@gx@b@I~@@\"},\"mass\":684.5310558604504,\"monoisotopicMass\":684.1254042880199,\"unsaturation\":19,\"elements\":[{\"symbol\":\"C\",\"number\":21},{\"symbol\":\"H\",\"number\":32},{\"symbol\":\"N\",\"number\":7},{\"symbol\":\"O\",\"number\":13},{\"symbol\":\"P\",\"number\":2},{\"symbol\":\"S\",\"number\":1}]},{\"symbol\":\"Dpe\",\"name\":\"5′-diphosphate end 552N\",\"mf\":\"O3P\",\"kind\":\"Nucleotide\",\"oneLetter\":\"ϒ\",\"ocl\":{\"value\":\"gJQdebGF^Dx|duK@@\",\"coordinates\":\"!BbOq~@GxbGt\"},\"mass\":78.97197677137483,\"monoisotopicMass\":78.95850585713,\"unsaturation\":1,\"elements\":[{\"symbol\":\"O\",\"number\":3},{\"symbol\":\"P\",\"number\":1}]},{\"symbol\":\"Mgc\",\"name\":\"7-methylguanosine cap (cap 0) diradical 79553N\",\"mf\":\"C11H16N5O11P2\",\"kind\":\"Nucleotide\",\"oneLetter\":\"©\",\"ocl\":{\"value\":\"eohZMBHIG@aihJNEHdlemck`OFspz|GgDJ\\\\bTTTvTRbTbRvbtcXx|BjFjjjjiVfjejjHPfDHSD@@\",\"coordinates\":\"!BvuPfpDnDtEK_tPJHtXBH_TwPb@J_I`JHbGtgD}F@RxPBux`B_]^OTh}RIlBH_]F@IqOQ`@A~_c|BbHa}\"},\"mass\":456.2196411505502,\"monoisotopicMass\":456.03215534994,\"unsaturation\":13,\"elements\":[{\"symbol\":\"C\",\"number\":11},{\"symbol\":\"H\",\"number\":16},{\"symbol\":\"N\",\"number\":5},{\"symbol\":\"O\",\"number\":11},{\"symbol\":\"P\",\"number\":2}]},{\"symbol\":\"Gyy\",\"name\":\"guanylylated 5′ end (cap G) diradical 9553N\",\"mf\":\"C10H13N5O10P2\",\"kind\":\"Nucleotide\",\"oneLetter\":\"ϑ\",\"ocl\":{\"value\":\"fkhh`INCt\\\\J\\\\UENY{NCqmxM|EnNQJJJ[JIQJQHzIRLyxM^uUUUTkSULuQDSDHfP@\",\"coordinates\":\"!BvuPfpDnDtEK_tPJHtXBH_TwPb@J_I`JHbGtgD}F@RxPBux`B_]^OTh}R_`CQ`B\\\\StXA~@C}~@Gx\"},\"mass\":425.1856780673293,\"monoisotopicMass\":425.01376563368,\"unsaturation\":14,\"elements\":[{\"symbol\":\"C\",\"number\":10},{\"symbol\":\"H\",\"number\":13},{\"symbol\":\"N\",\"number\":5},{\"symbol\":\"O\",\"number\":10},{\"symbol\":\"P\",\"number\":2}]},{\"symbol\":\"Furp\",\"name\":\"furan phosphate radical\",\"mf\":\"C5H6O4P\",\"kind\":\"RNAp\",\"oneLetter\":\"⬠\",\"ocl\":{\"value\":\"dmtBPDpnAYcpRZ}eeYjii@@\",\"coordinates\":\"!BNvw|Vso|kUl{[So|PPAGuU\\\\z`pP\"},\"mass\":161.072705703704,\"monoisotopicMass\":161.00037067008,\"unsaturation\":5,\"elements\":[{\"symbol\":\"C\",\"number\":5},{\"symbol\":\"H\",\"number\":6},{\"symbol\":\"O\",\"number\":4},{\"symbol\":\"P\",\"number\":1}]},{\"symbol\":\"Phg\",\"ocl\":{\"value\":\"dcNHPBPOEgEInVuWYj`@@@\"},\"name\":\"Phenyl glycine diradical\",\"mf\":\"C8H7NO\",\"kind\":\"aa\",\"mass\":133.1475805880365,\"monoisotopicMass\":133.05276384961002,\"unsaturation\":10,\"elements\":[{\"symbol\":\"C\",\"number\":8},{\"symbol\":\"H\",\"number\":7},{\"symbol\":\"N\",\"number\":1},{\"symbol\":\"O\",\"number\":1}]},{\"symbol\":\"Hpg\",\"ocl\":{\"value\":\"dknDPBPp|V\\\\Tfy[WWYj`@`@@\",\"coordinates\":\"!BbOq~@Ha}bOq~Oxa}bGwW_Wx?_c?W_Wx?\"},\"name\":\"4-hydroxyphenylglycine diradical\",\"mf\":\"C8H7NO2\",\"kind\":\"aa\",\"mass\":149.14698551235477,\"monoisotopicMass\":149.04767846918,\"unsaturation\":10,\"elements\":[{\"symbol\":\"C\",\"number\":8},{\"symbol\":\"H\",\"number\":7},{\"symbol\":\"N\",\"number\":1},{\"symbol\":\"O\",\"number\":2}]},{\"symbol\":\"Dpg\",\"ocl\":{\"value\":\"dg^LPBS[CqYqR[emYTyj`BH@@\",\"coordinates\":\"!BbOr~@Hb}bOr~Wxb}bKvWo[y_oe}HoY^}Uwt\"},\"name\":\"3,5-dihydroxyphenylglycine diradical\",\"mf\":\"C8H7NO3\",\"kind\":\"aa\",\"mass\":165.14639043667304,\"monoisotopicMass\":165.04259308875,\"unsaturation\":10,\"elements\":[{\"symbol\":\"C\",\"number\":8},{\"symbol\":\"H\",\"number\":7},{\"symbol\":\"N\",\"number\":1},{\"symbol\":\"O\",\"number\":3}]},{\"symbol\":\"T\",\"name\":\"Tritium\",\"mf\":\"[3H]\",\"ocl\":{\"value\":\"eFAAYhBLCEX@\",\"coordinates\":\"!B@@L\"},\"mass\":3.0160492779,\"monoisotopicMass\":3.0160492779,\"unsaturation\":-1,\"elements\":[{\"symbol\":\"H\",\"number\":1,\"isotope\":3}]}]","import { groups } from './groups';\n\nexport const groupsObject = {};\ngroups.forEach((e) => {\n  if (groupsObject[e.symbol]) {\n    console.log('The symbol ' + e.symbol + ' is used more than once');\n  }\n  groupsObject[e.symbol] = e;\n});\n","import { groupsObject } from './groupsObject.js';\n\n/**\n * Recreate a one letter sequence\n * @param {object} mf\n */\n\nexport function groupsToSequence(mf) {\n  mf = mf.replace(/\\([^(]*\\)/g, '');\n  let parts = mf.split(/(?=[A-Z ])/);\n  let usefulParts = [];\n  for (let part of parts) {\n    if (part === ' ') {\n      usefulParts.push(' ');\n      continue;\n    }\n    if (!part.match(/^[A-Z][a-z]{2,6}/)) continue;\n    if (groupsObject[part] && groupsObject[part].oneLetter) {\n      usefulParts.push(groupsObject[part].oneLetter);\n    } else {\n      usefulParts.push('?');\n    }\n  }\n  return usefulParts.join('').replace(/ +/g, ' ').trim();\n}\n","import { elementsAndStableIsotopesObject as elements } from 'chemical-elements';\n\nexport function getIsotopeRatioInfo(value) {\n  let result = { mass: 0, monoisotopicMass: 0 };\n  let element = elements[value.atom];\n  if (!element) throw new Error(`Element not found: ${value.atom}`);\n  let isotopesArray = element.isotopes;\n  let ratios = normalize(value.ratio);\n  let max = Math.max(...ratios);\n  if (ratios.length > isotopesArray.length) {\n    throw new Error(\n      `the number of specified ratios is bigger that the number of stable isotopes: ${value.atom}`,\n    );\n  }\n  for (let i = 0; i < ratios.length; i++) {\n    result.mass += ratios[i] * isotopesArray[i].mass;\n    if (max === ratios[i] && result.monoisotopicMass === 0) {\n      result.monoisotopicMass = isotopesArray[i].mass;\n    }\n  }\n  return result;\n}\n\nfunction normalize(array) {\n  let sum = array.reduce((prev, current) => prev + current, 0);\n  return array.map((a) => a / sum);\n}\n","import {\n  isotopesObject as isotopes,\n  elementsObject as elements,\n} from 'chemical-elements';\nimport { groupsObject as groups } from 'chemical-groups';\n\nimport { Kind } from '../Kind';\n\nimport { getIsotopeRatioInfo } from './getIsotopeRatioInfo';\n\n/**\n *\n * @param {*} parts\n * @param {*} [options={}]\n */\nexport function getEA(parts) {\n  let results = {};\n  for (let part of parts) {\n    for (let line of part) {\n      switch (line.kind) {\n        case Kind.ISOTOPE: {\n          let isotope = isotopes[line.value.isotope + line.value.atom];\n          if (!isotope) {\n            throw new Error(\n              `Unknown isotope: ${line.value.isotope}${line.value.atom}`,\n            );\n          }\n          addMass(results, line.value.atom, isotope.mass * line.multiplier);\n          break;\n        }\n\n        case Kind.ISOTOPE_RATIO: {\n          let isotopeRatioInfo = getIsotopeRatioInfo(line.value);\n          addMass(\n            results,\n            line.value.atom,\n            isotopeRatioInfo.mass * line.multiplier,\n          );\n          break;\n        }\n\n        case Kind.ATOM: {\n          let element = elements[line.value];\n          if (!element) {\n            element = groups[line.value];\n            if (!element) throw Error(`Unknown element: ${line.value}`);\n            // need to explode group ????\n          }\n          addMass(results, line.value, element.mass * line.multiplier);\n          break;\n        }\n\n        case Kind.CHARGE:\n          break;\n        default:\n          throw new Error('partToMF unhandled Kind: ', line.kind);\n      }\n    }\n  }\n\n  let eas = [];\n  let sum = 0;\n  for (let key in results) {\n    sum += results[key];\n    eas.push({\n      element: key,\n      mass: results[key],\n    });\n  }\n\n  eas.forEach((ea) => {\n    ea.ratio = ea.mass / sum;\n  });\n  return eas;\n}\n\nfunction addMass(results, atom, mass) {\n  if (!results[atom]) results[atom] = 0;\n  results[atom] += mass;\n}\n","import { elementsObject, elementsAndIsotopesObject } from 'chemical-elements';\n\nimport { Kind } from '../Kind';\n\n/**\n *\n * @param {*} parts\n * @param {*} [options={}]\n */\nexport function getElements(parts) {\n  const elements = [];\n  for (const part of parts) {\n    for (const line of part) {\n      let number = line.multiplier;\n      switch (line.kind) {\n        case Kind.ATOM: {\n          let symbol = line.value;\n          let element = elementsObject[symbol];\n          if (!element) {\n            throw new Error(`element unknown: ${symbol} - ${line}`);\n          }\n          addElement(elements, { symbol, number });\n          break;\n        }\n        case Kind.ISOTOPE: {\n          let element = elementsAndIsotopesObject[line.value.atom];\n          if (!element) {\n            throw new Error(`element unknown: ${part.value.atom} - ${line}`);\n          }\n          let isotope = element.isotopes.filter(\n            (a) => a.nominal === line.value.isotope,\n          )[0];\n          if (!isotope) {\n            throw new Error(`isotope unknown: ${line.value.isotope} - ${line}`);\n          }\n          addElement(elements, {\n            symbol: line.value.atom,\n            number,\n            isotope: line.value.isotope,\n          });\n          break;\n        }\n        default:\n          throw new Error(`unknown type: ${line.kind}`);\n      }\n    }\n  }\n  return elements;\n}\n\nfunction addElement(elements, newElement) {\n  for (let element of elements) {\n    if (\n      element.symbol === newElement.symbol &&\n      element.isotope === newElement.isotope\n    ) {\n      element.number += newElement.number;\n      return;\n    }\n  }\n  elements.push(newElement);\n}\n","import { Kind } from '../Kind.js';\n\n/**\n * Convert a MF part to an array of atoms\n * This procedure will suppress the isotopes !\n * This is mainly used to make queries\n */\n\nexport function partToAtoms(part) {\n  let atoms = {};\n  for (let line of part) {\n    switch (line.kind) {\n      case Kind.ISOTOPE:\n        if (!atoms[line.value.atom]) atoms[line.value.atom] = 0;\n        atoms[line.value.atom] += line.multiplier;\n        break;\n      case Kind.ISOTOPE_RATIO:\n        if (!atoms[line.value.atom]) atoms[line.value.atom] = 0;\n        atoms[line.value.atom] += line.multiplier;\n        break;\n      case Kind.ATOM:\n        if (!atoms[line.value]) atoms[line.value] = 0;\n        atoms[line.value] += line.multiplier;\n        break;\n      case Kind.CHARGE:\n        break;\n      case Kind.ANCHOR:\n        break;\n      default:\n        throw new Error('partToMF unhandled Kind: ', line.kind);\n    }\n  }\n  return atoms;\n}\n","import { Kind } from '../Kind';\n\nexport function partToMF(part, options = {}) {\n  let mf = [];\n  for (let line of part) {\n    switch (line.kind) {\n      case Kind.ISOTOPE:\n        if (line.multiplier !== 0) {\n          mf.push(\n            `[${line.value.isotope}${line.value.atom}]${\n              line.multiplier !== 1 ? line.multiplier : ''\n            }`,\n          );\n        }\n        break;\n      case Kind.ISOTOPE_RATIO:\n        if (line.multiplier !== 0) {\n          mf.push(\n            `${line.value.atom}{${line.value.ratio.join(',')}}${\n              line.multiplier !== 1 ? line.multiplier : ''\n            }`,\n          );\n        }\n        break;\n      case Kind.ATOM:\n        if (line.multiplier !== 0) {\n          mf.push(line.value + (line.multiplier !== 1 ? line.multiplier : ''));\n        }\n        break;\n      case Kind.CHARGE:\n        if (line.value === 0 || options.neutral) break;\n        mf.push(`(${line.value > 0 ? `+${line.value}` : line.value})`);\n        break;\n      default:\n    }\n  }\n  return mf.join('');\n}\n","import {\n  ELECTRON_MASS,\n  unsaturationsObject as unsaturations,\n  elementsAndIsotopesObject as elements,\n  isotopesObject as isotopes,\n} from 'chemical-elements';\nimport { groupsObject as groups } from 'chemical-groups';\n\nimport { Kind } from '../Kind';\n\nimport { getIsotopeRatioInfo } from './getIsotopeRatioInfo';\nimport { partToAtoms } from './partToAtoms';\nimport { partToMF } from './partToMF';\n\n/**\n *\n * @param {*} parts\n * @param {*} [options={}]\n */\nexport function getInfo(parts, options = {}) {\n  let {\n    customUnsaturations = {},\n    emFieldName = 'monoisotopicMass',\n    msemFieldName = 'observedMonoisotopicMass',\n  } = options;\n  if (parts.length === 0) return {};\n  if (parts.length === 1) {\n    return getProcessedPart(parts[0], {\n      customUnsaturations,\n      emFieldName,\n      msemFieldName,\n    });\n  }\n\n  let result = { parts: [] };\n  for (let part of parts) {\n    result.parts.push(\n      getProcessedPart(part, {\n        customUnsaturations,\n        emFieldName,\n        msemFieldName,\n      }),\n    );\n  }\n\n  result[emFieldName] = 0;\n  result.mass = 0;\n  result.charge = 0;\n  result.unsaturation = 0;\n  result.atoms = {};\n  result.mf = result.parts.map((a) => a.mf).join('.');\n  for (const part of result.parts) {\n    result.mass += part.mass;\n    result[emFieldName] += part[emFieldName];\n    result.charge += part.charge;\n    result.unsaturation += part.unsaturation;\n    for (const atom in part.atoms) {\n      if (!result.atoms[atom]) {\n        result.atoms[atom] = 0;\n      }\n      result.atoms[atom] += part.atoms[atom];\n    }\n  }\n  return result;\n}\n\nfunction getProcessedPart(part, options) {\n  let { customUnsaturations, emFieldName, msemFieldName } = options;\n\n  let currentPart = {\n    mass: 0,\n    charge: 0,\n    mf: '',\n    atoms: partToAtoms(part),\n  };\n  currentPart[emFieldName] = 0;\n\n  let unsaturation = 0;\n  let validUnsaturation = true;\n  currentPart.mf = partToMF(part);\n\n  for (let line of part) {\n    let currentElement = '';\n    switch (line.kind) {\n      case Kind.ATOM: {\n        currentElement = line.value;\n        let element = elements[line.value];\n\n        // todo should we have a kind GROUP ?\n        if (!element) {\n          element = groups[line.value];\n          if (!element) throw Error(`Unknown element: ${line.value}`);\n          if (!customUnsaturations[line.value]) {\n            customUnsaturations[line.value] = element.unsaturation;\n          }\n        }\n        if (!element) throw new Error(`Unknown element: ${line.value}`);\n        currentPart[emFieldName] += element.monoisotopicMass * line.multiplier;\n        currentPart.mass += element.mass * line.multiplier;\n        break;\n      }\n      case Kind.ISOTOPE: {\n        currentElement = line.value.atom;\n        let isotope = isotopes[line.value.isotope + line.value.atom];\n        if (!isotope) {\n          throw new Error(\n            `Unknown isotope: ${line.value.isotope}${line.value.atom}`,\n          );\n        }\n        currentPart[emFieldName] += isotope.mass * line.multiplier;\n        currentPart.mass += isotope.mass * line.multiplier;\n        break;\n      }\n      case Kind.ISOTOPE_RATIO: {\n        currentElement = line.value.atom;\n        let isotopeRatioInfo = getIsotopeRatioInfo(line.value);\n        currentPart[emFieldName] +=\n          isotopeRatioInfo[emFieldName] * line.multiplier;\n        currentPart.mass += isotopeRatioInfo.mass * line.multiplier;\n        break;\n      }\n      case Kind.CHARGE:\n        currentPart.charge = line.value;\n        if (validUnsaturation) {\n          unsaturation -= line.value;\n        }\n        break;\n      default:\n        throw new Error('Unimplemented Kind in getInfo', line.kind);\n    }\n    if (currentElement) {\n      if (customUnsaturations[currentElement] !== undefined) {\n        unsaturation += customUnsaturations[currentElement] * line.multiplier;\n      } else if (unsaturations[currentElement] !== undefined) {\n        unsaturation += unsaturations[currentElement] * line.multiplier;\n      } else {\n        validUnsaturation = false;\n      }\n    }\n  }\n\n  // need to calculate the observedMonoisotopicMass\n  if (currentPart.charge) {\n    currentPart[msemFieldName] =\n      (currentPart[emFieldName] - currentPart.charge * ELECTRON_MASS) /\n      Math.abs(currentPart.charge);\n  }\n  if (validUnsaturation) {\n    currentPart.unsaturation = unsaturation / 2 + 1;\n  }\n  return currentPart;\n}\n","import {\n  elementsAndStableIsotopesObject as elements,\n  isotopesObject as isotopes,\n} from 'chemical-elements';\n\nimport { Kind } from '../Kind';\n\n/**\n *\n * @param {*} parts\n * @param {*} options\n */\nexport function getIsotopesInfo(parts) {\n  if (parts.length === 0) return [];\n  if (parts.length > 1) {\n    throw new Error('getIsotopesInfo can not be applied on multipart MF');\n  }\n\n  return getProcessedPart(parts[0]);\n}\n\nfunction getProcessedPart(part) {\n  let result = {\n    charge: 0,\n    isotopes: [],\n  };\n  for (let line of part) {\n    switch (line.kind) {\n      case Kind.ISOTOPE: {\n        let isotope = isotopes[line.value.isotope + line.value.atom];\n        if (!isotope) {\n          throw Error('unknown isotope:', line.value.atom, line.value.isotope);\n        }\n        result.isotopes.push({\n          atom: `[${line.value.isotope}${line.value.atom}]`,\n          number: line.multiplier,\n          distribution: [{ x: isotope.mass, y: 1 }],\n        });\n        break;\n      }\n      case Kind.ISOTOPE_RATIO:\n        {\n          let element = elements[line.value.atom];\n          if (!element) throw new Error('unknown element:', line.value);\n\n          let distribution = getDistribution(\n            element.isotopes,\n            line.value.ratio,\n          );\n          result.isotopes.push({\n            atom: `${line.value.atom}{${line.value.ratio.join(',')}}`,\n            number: line.multiplier,\n            distribution,\n          });\n        }\n        break;\n      case Kind.ATOM: {\n        let element = elements[line.value];\n        if (!element) throw new Error('unknown element:', line.value);\n        result.isotopes.push({\n          atom: line.value,\n          number: line.multiplier,\n          distribution: element.isotopes.map((e) => ({\n            x: e.mass,\n            y: e.abundance,\n          })),\n        });\n        break;\n      }\n      case Kind.CHARGE:\n        result.charge += line.value;\n        break;\n      default:\n        throw new Error('partToMF unhandled Kind: ', line.kind);\n    }\n  }\n  return result;\n}\n\nfunction getDistribution(isotopesArray, ratio) {\n  let ratios = normalize(ratio);\n  let result = [];\n  if (ratios.length > isotopesArray.length) {\n    throw new Error(\n      `the number of specified ratios is bigger that the number of stable isotopes: ${isotopes}`,\n    );\n  }\n  for (let i = 0; i < ratios.length; i++) {\n    result.push({\n      x: isotopesArray[i].mass,\n      y: ratios[i],\n    });\n  }\n  return result;\n}\n\nfunction normalize(array) {\n  let sum = array.reduce((prev, current) => prev + current, 0);\n  return array.map((a) => a / sum);\n}\n","import { partToMF } from './partToMF';\n\nexport function partsToMF(parts, options) {\n  let mf = [];\n  for (let part of parts) {\n    mf.push(partToMF(part, options));\n  }\n  return mf.join(' . ');\n}\n","/**\n * Implementation of the Hill system for sorting atoms\n * https://en.wikipedia.org/wiki/Chemical_formula#Hill_system\n * @param {string} a - first atom to compare\n * @param {string} b - second atom to compare\n * @returns\n */\n\nexport function atomSorter(a, b) {\n  if (a === b) return 0;\n  if (a === 'C') return -1;\n  if (b === 'C') return 1;\n  if (a === 'H') return -1;\n  if (b === 'H') return 1;\n  if (a < b) return -1;\n  return 1;\n}\n","import { atomSorter } from 'atom-sorter';\nimport { groupsObject } from 'chemical-groups';\n\nimport { Kind } from '../Kind';\n\n/**\n *\n * @param {*} lines\n * @param {object} [options={}]\n * @param {boolean} [options.expand=true] - Should we expand the groupsObject\n */\n\nexport function toParts(lines, options = {}) {\n  const { expand: shouldExpandgroupsObject = true } = options;\n  let parts = [];\n  let currentPart = createNewPart();\n  let previousKind = Kind.BEGIN;\n  parts.push(currentPart);\n  for (let line of lines) {\n    switch (line.kind) {\n      case Kind.ATOM:\n      case Kind.ISOTOPE_RATIO:\n      case Kind.ISOTOPE:\n      case Kind.CHARGE:\n        currentPart.lines.push({ ...line, multiplier: 1 });\n        break;\n      case Kind.OPENING_PARENTHESIS:\n        openingParenthesis(currentPart);\n        break;\n      case Kind.CLOSING_PARENTHESIS:\n        closingParenthesis(currentPart);\n        break;\n      case Kind.PRE_MULTIPLIER:\n        preMultiplier(currentPart, line);\n        break;\n      case Kind.MULTIPLIER:\n        postMultiplier(currentPart, line.value, previousKind);\n        break;\n      case Kind.SALT:\n        globalPartMultiplier(currentPart);\n        currentPart = createNewPart();\n        parts.push(currentPart);\n        break;\n      case Kind.ANCHOR: // we ignore anchors to create the parts and canonized MF\n        break;\n      case Kind.COMMENT: // we ignore comments to create the parts and canonized MF\n        break;\n      case Kind.TEXT:\n        break;\n      default:\n        throw new Error(`Can not process mf having: ${line.kind}`);\n    }\n    previousKind = line.kind;\n  }\n  globalPartMultiplier(currentPart);\n  if (shouldExpandgroupsObject) expandgroupsObject(parts);\n  return combineAtomsIsotopesCharges(parts);\n}\n\nfunction createNewPart() {\n  let currentMultiplier = { value: 1, fromIndex: 0 };\n  return { lines: [], multipliers: [currentMultiplier], currentMultiplier };\n}\n\nfunction openingParenthesis(currentPart) {\n  currentPart.currentMultiplier = {\n    value: 1,\n    fromIndex: currentPart.lines.length,\n  };\n  currentPart.multipliers.push(currentPart.currentMultiplier);\n}\n\nfunction closingParenthesis(currentPart) {\n  currentPart.currentMultiplier = currentPart.multipliers.pop();\n  if (currentPart.currentMultiplier !== 1) {\n    for (\n      let i = currentPart.currentMultiplier.fromIndex;\n      i < currentPart.lines.length;\n      i++\n    ) {\n      currentPart.lines[i].multiplier *= currentPart.currentMultiplier.value;\n    }\n  }\n}\n\nfunction preMultiplier(currentPart, line) {\n  currentPart.currentMultiplier.value *= line.value;\n}\n\nfunction globalPartMultiplier(currentPart) {\n  for (\n    let i = currentPart.multipliers[0].fromIndex;\n    i < currentPart.lines.length;\n    i++\n  ) {\n    currentPart.lines[i].multiplier *= currentPart.multipliers[0].value;\n  }\n}\n\nfunction postMultiplier(currentPart, value, previousKind) {\n  if (previousKind === Kind.CLOSING_PARENTHESIS) {\n    // need to apply to everything till the previous parenthesis\n    for (\n      let i = currentPart.currentMultiplier.fromIndex;\n      i < currentPart.lines.length;\n      i++\n    ) {\n      currentPart.lines[i].multiplier *= value;\n    }\n  } else {\n    // just applies to the previous element\n    currentPart.lines[currentPart.lines.length - 1].multiplier *= value;\n  }\n}\n\nfunction expandgroupsObject(parts) {\n  for (let part of parts) {\n    let expanded = false;\n    for (let i = 0; i < part.lines.length; i++) {\n      let line = part.lines[i];\n      if (line.kind === Kind.ATOM) {\n        let group = groupsObject[line.value];\n\n        if (group) {\n          expanded = true;\n          for (let element of group.elements) {\n            if (element.isotope) {\n              part.lines.push({\n                kind: 'isotope',\n                value: { atom: element.symbol, isotope: element.isotope },\n                multiplier: line.multiplier * element.number,\n              });\n            } else {\n              part.lines.push({\n                kind: 'atom',\n                value: element.symbol,\n                multiplier: line.multiplier * element.number,\n              });\n            }\n          }\n          part.lines[i] = undefined;\n        }\n      }\n    }\n    if (expanded) part.lines = part.lines.filter((a) => a);\n  }\n}\n\nfunction combineAtomsIsotopesCharges(parts) {\n  let results = [];\n  for (let part of parts) {\n    let result = [];\n    results.push(result);\n    calculateAndSortKeys(part);\n\n    let currentKey = '';\n    for (let key of part.keys) {\n      if (key.key === Kind.CHARGE) {\n        if (currentKey !== key.key) {\n          result.push({\n            kind: Kind.CHARGE,\n            value: key.value.value * key.value.multiplier,\n          });\n        } else {\n          result[result.length - 1].value +=\n            key.value.value * key.value.multiplier;\n        }\n      } else if (currentKey !== key.key) {\n        result.push(key.value);\n      } else {\n        result[result.length - 1].multiplier += key.value.multiplier;\n      }\n      currentKey = key.key;\n    }\n\n    result.sort((a, b) => {\n      if (a.kind === Kind.CHARGE) return 1;\n      if (b.kind === Kind.CHARGE) return -1;\n\n      let atomA = a.kind === Kind.ATOM ? a.value : a.value.atom;\n      let atomB = b.kind === Kind.ATOM ? b.value : b.value.atom;\n      if (atomA !== atomB) return atomSorter(atomA, atomB);\n      // same atome but some isotopes ...\n      if (a.kind === Kind.ATOM) return -1;\n      if (b.kind === Kind.ATOM) return 1;\n      if (a.kind === Kind.ISOTOPE) return -1;\n      if (b.kind === Kind.ISOTOPE) return 1;\n      if (a.kind === Kind.ISOTOPE_RATIO) return -1;\n      if (b.kind === Kind.ISOTOPE_RATIO) return 1;\n      return 0;\n    });\n  }\n  return results;\n}\n\nfunction calculateAndSortKeys(part) {\n  part.keys = [];\n  for (let line of part.lines) {\n    part.keys.push({ key: getKey(line), value: line });\n  }\n  part.keys.sort((a, b) => stringComparator(a.key, b.key));\n}\n\nfunction getKey(line) {\n  let key = [line.kind];\n\n  switch (line.kind) {\n    case Kind.CHARGE:\n      break;\n    default:\n      if (typeof line.value === 'string') {\n        key.push(line.value);\n      } else {\n        for (let prop of Object.keys(line.value).sort()) {\n          key.push(line.value[prop]);\n        }\n      }\n  }\n  return key.join('-');\n}\n\nfunction stringComparator(a, b) {\n  if (a < b) return -1;\n  if (a > b) return 1;\n  return 0;\n}\n","import { ensureCase } from './ensureCase';\nimport { parse } from './parse';\nimport { getEA } from './util/getEA';\nimport { getElements } from './util/getElements';\nimport { getInfo } from './util/getInfo';\nimport { getIsotopesInfo } from './util/getIsotopesInfo';\nimport { partsToDisplay } from './util/partsToDisplay';\nimport { partsToMF } from './util/partsToMF';\nimport { toDisplay } from './util/toDisplay';\nimport { toHtml } from './util/toHtml';\nimport { toParts } from './util/toParts';\nimport { toText } from './util/toText';\n\n/**\n * Class allowing to deal with molecular formula and derived information\n */\nexport class MF {\n  constructor(mf, options = {}) {\n    if (options.ensureCase) {\n      mf = ensureCase(mf);\n    }\n    this.parsed = parse(mf);\n    this.cache = {};\n  }\n\n  toDisplay() {\n    if (!this.cache.displayed) this.cache.displayed = toDisplay(this.parsed);\n    return this.cache.displayed;\n  }\n\n  toHtml() {\n    if (!this.cache.html) {\n      this.toDisplay();\n      this.cache.html = toHtml(this.cache.displayed);\n    }\n    return this.cache.html;\n  }\n\n  toText() {\n    if (!this.cache.text) {\n      this.toDisplay();\n      this.cache.text = toText(this.cache.displayed);\n    }\n    return this.cache.text;\n  }\n\n  toCanonicText() {\n    if (!this.cache.canonicText) {\n      this.cache.canonicText = new MF(this.toMF()).toText(this.cache.displayed);\n    }\n    return this.cache.canonicText;\n  }\n\n  toParts(options) {\n    if (!this.cache.parts) {\n      this.cache.parts = toParts(this.parsed, options);\n    }\n    return this.cache.parts;\n  }\n\n  /**\n   * Returns an object with the global MF, global charge, monoisotopic mass and mass\n   * as well as the same information for all the parts\n   * @param {object} [options={}] options\n   * @param {object} [options.customUnsaturations={}] custom unsaturations\n   * @param {string} [options.emFieldName='monoisotopicMass'] name of the monoisotopic mass field\n   * @param {string} [options.msemFieldName='observedMonoisotopicMass'] name of the observed monoisotopic mass field\n   */\n  getInfo(options = {}) {\n    if (!this.cache.info) {\n      this.toParts();\n      this.cache.info = getInfo(this.cache.parts, options);\n    }\n    return this.cache.info;\n  }\n\n  /**\n   * Returns an object with the elemental analysis\n   */\n  getEA(options = {}) {\n    if (!this.cache.ea) {\n      this.toParts();\n      this.cache.ea = getEA(this.cache.parts, options);\n    }\n    return this.cache.ea;\n  }\n\n  /**\n   * Get the different elements for each part\n   * @returns an array\n   */\n  getElements() {\n    if (!this.cache.elements) {\n      this.toParts();\n      this.cache.elements = getElements(this.cache.parts);\n    }\n    return this.cache.elements;\n  }\n\n  /**\n   * Returns an array with each atom and isotopic composition\n   */\n  getIsotopesInfo(options = {}) {\n    if (!this.cache.isotopesInfo) {\n      this.toParts();\n      this.cache.isotopesInfo = getIsotopesInfo(this.cache.parts, options);\n    }\n    return this.cache.isotopesInfo;\n  }\n\n  /**\n   * Get a canonized MF\n   */\n  toMF() {\n    if (!this.cache.mf) {\n      this.toParts();\n      this.cache.mf = partsToMF(this.cache.parts);\n    }\n    return this.cache.mf;\n  }\n\n  /**\n   * Get a canonized MF\n   */\n  toNeutralMF() {\n    if (!this.cache.neutralMF) {\n      this.toParts();\n      this.cache.neutralMF = partsToMF(this.cache.parts, { neutral: true });\n    }\n    return this.cache.neutralMF;\n  }\n\n  canonize() {\n    this.toParts();\n    this.cache.displayed = partsToDisplay(this.cache.parts);\n    this.cache.html = undefined;\n  }\n}\n","import { Format } from '../Format';\nimport { Style } from '../Style';\n\nexport function toHtml(lines) {\n  let html = [];\n  for (let line of lines) {\n    switch (line.kind) {\n      case Format.SUBSCRIPT:\n        html.push(`<sub>${line.value}</sub>`);\n        break;\n      case Format.SUPERSCRIPT:\n        html.push(`<sup>${line.value}</sup>`);\n        break;\n      case Format.SUPERIMPOSE:\n        html.push(`<span style=\"${Style.SUPERIMPOSE}\">`);\n        html.push(\n          `<sup style=\"${Style.SUPERIMPOSE_SUP_SUB}\">${line.over}</sup>`,\n        );\n        html.push(\n          `<sub style=\"${Style.SUPERIMPOSE_SUP_SUB}\">${line.under}</sub>`,\n        );\n        html.push('</span>');\n        break;\n      default:\n        html.push(line.value);\n    }\n  }\n  return html.join('');\n}\n","import { Format } from '../Format';\n\nimport { superscript, subscript } from './subSuperscript';\n\nexport function toText(lines) {\n  let text = [];\n  for (let line of lines) {\n    switch (line.kind) {\n      case Format.SUBSCRIPT:\n        {\n          const value = String(line.value);\n          for (let i = 0; i < value.length; i++) {\n            const char = value[i];\n            if (subscript[char]) {\n              text.push(subscript[char]);\n            } else {\n              throw new Error(`Subscript problem with: ${char}`);\n            }\n          }\n        }\n        break;\n      case Format.SUPERSCRIPT: {\n        const value = String(line.value);\n        for (let i = 0; i < value.length; i++) {\n          const char = value[i];\n          if (superscript[char]) {\n            text.push(superscript[char]);\n          } else {\n            throw new Error(`Superscript problem with: ${char}`);\n          }\n        }\n        break;\n      }\n      case Format.SUPERIMPOSE: {\n        const under = String(line.under);\n        for (let i = 0; i < under.length; i++) {\n          const char = under[i];\n          if (subscript[char]) {\n            text.push(subscript[char]);\n          } else {\n            throw new Error(`Subscript problem with: ${char}`);\n          }\n        }\n        const over = String(line.over);\n        for (let i = 0; i < over.length; i++) {\n          const char = over[i];\n          if (superscript[char]) {\n            text.push(superscript[char]);\n          } else {\n            throw new Error(`Superscript problem with: ${char}`);\n          }\n        }\n        break;\n      }\n      default:\n        text.push(line.value);\n    }\n  }\n  return text.join('');\n}\n","import { Kind } from '../Kind';\n\nimport { toDisplay } from './toDisplay.js';\n/**\n * Converts an array of mf elements to an array of formatting information\n * @param {Array<Object>} result of the parse method\n */\n\nexport function partsToDisplay(parts) {\n  let lines = [];\n  for (let part of parts) {\n    if (lines.length > 0) lines.push({ kind: Kind.SALT, value: '•' });\n    for (let partLine of part) {\n      lines.push(partLine);\n      if (partLine.multiplier) {\n        lines.push({\n          kind: Kind.MULTIPLIER,\n          value: partLine.multiplier,\n        });\n      }\n    }\n  }\n\n  return toDisplay(lines);\n}\n","import {\n  xyObjectMaxXPoint,\n  xyObjectMinXPoint,\n  xyObjectSumY,\n} from 'ml-spectra-processing';\n\n/**\n * Filter the array of peaks\n * @param {array} peaks - array of all the peaks\n * @param {object} [options={}]\n * @param {number} [options.from] - min X value of the window to consider\n * @param {number} [options.to] - max X value of the window to consider\n * @param {number} [options.threshold=0.01] - minimal intensity compare to base peak\n * @param {number} [options.limit=undefined] - maximal number of peaks (based on intensity)\n * @param {number} [options.sumValue] // if sumValue is defined, maxValue is ignored\n * @returns {array} - copy of peaks with 'close' annotation\n */\n\nexport function getPeaks(peaks, options = {}) {\n  const {\n    from = xyObjectMinXPoint(peaks).x,\n    to = xyObjectMaxXPoint(peaks).x,\n    threshold = 0.01,\n    limit,\n    sumValue,\n  } = options;\n\n  let maxY = Number.MIN_SAFE_INTEGER;\n  for (let peak of peaks) {\n    if (peak.y > maxY) maxY = peak.y;\n  }\n  let minY = maxY * threshold;\n\n  peaks = peaks.filter(\n    (peak) => peak.x >= from && peak.x <= to && peak.y >= minY,\n  );\n\n  if (limit && peaks.length > limit) {\n    peaks.sort((a, b) => b.y - a.y);\n    peaks = peaks.slice(0, limit);\n  }\n  if (sumValue) {\n    peaks = JSON.parse(JSON.stringify(peaks));\n    const currentSum = xyObjectSumY(peaks);\n    const ratio = sumValue / currentSum;\n    peaks.forEach((peak) => (peak.y *= ratio));\n  }\n\n  return peaks.sort((a, b) => a.x - b.x);\n}\n","import { xyObjectCheck } from './xyObjectCheck';\n/**\n * Calculate the sum of Y values\n *\n * @param points - Object that contains property x and y (an array)\n */\nexport function xyObjectSumY(points = []) {\n    xyObjectCheck(points);\n    let sum = 0;\n    for (let point of points) {\n        sum += point.y;\n    }\n    return sum;\n}\n//# sourceMappingURL=xyObjectSumY.js.map","export function calculateOverlapFromDiff(diffs) {\n    if (diffs[1].length === 0)\n        return 0;\n    let sumPos = 0;\n    for (let i = 0; i < diffs[1].length; i++) {\n        sumPos += Math.abs(diffs[1][i]);\n    }\n    return 1 - sumPos;\n}\n//# sourceMappingURL=calculateOverlapFromDiff.js.map","/**\n * This code requires the use of an array like  [[x1,y1],[x2,y2], ...]\n * If it is not the right format, we will just convert it\n * Otherwise we return the correct format\n * @param {Peaks} peaks\n * @returns [number[], number[]]\n */\nexport function checkPeaks(peaks) {\n    // if it is already a 2D array of points, we just return them\n    if (Array.isArray(peaks) && Array.isArray(peaks[0]) && peaks.length === 2) {\n        return peaks;\n    }\n    if (Array.isArray(peaks.x) && Array.isArray(peaks.y)) {\n        return [peaks.x, peaks.y];\n    }\n    const x = new Array(peaks.length);\n    const y = new Array(peaks.length);\n    for (let i = 0; i < peaks.length; i++) {\n        x[i] = peaks[i][0];\n        y[i] = peaks[i][1];\n    }\n    return [x, y];\n}\n//# sourceMappingURL=checkPeaks.js.map","export function extract(array, from, to) {\n    const newArray = [[], []];\n    let j = 0;\n    const length = array[0] ? array[0].length : 0;\n    for (let i = 0; i < length; i++) {\n        if ((!from || array[0][i] >= from) && (!to || array[0][i] <= to)) {\n            newArray[0][j] = array[0][i];\n            newArray[1][j] = array[1][i];\n            j++;\n        }\n    }\n    return newArray;\n}\n//# sourceMappingURL=extract.js.map","// returns an new array based on array1 where there is a peak of array2 at a distance under width/2\nexport function getCommonArray(array1, array2, width) {\n    const newArray = [[], []];\n    let pos2 = 0;\n    width /= 2;\n    let j = 0;\n    const array1Length = array1[0] ? array1[0].length : 0;\n    const array2Length = array2[0] ? array2[0].length : 0;\n    for (let i = 0; i < array1Length; i++) {\n        while (pos2 < array2Length && array1[0][i] > array2[0][pos2] + width) {\n            pos2++;\n        }\n        if (pos2 < array2Length && array1[0][i] > array2[0][pos2] - width) {\n            newArray[0][j] = array1[0][i];\n            newArray[1][j] = array1[1][i];\n            j++;\n        }\n    }\n    return newArray;\n}\n//# sourceMappingURL=getCommonArray.js.map","'use strict';\n\nfunction compareNumbers(a, b) {\n    return a - b;\n}\n\n/**\n * Computes the sum of the given values\n * @param {Array} values\n * @returns {number}\n */\nexports.sum = function sum(values) {\n    var sum = 0;\n    for (var i = 0; i < values.length; i++) {\n        sum += values[i];\n    }\n    return sum;\n};\n\n/**\n * Computes the maximum of the given values\n * @param {Array} values\n * @returns {number}\n */\nexports.max = function max(values) {\n    var max = values[0];\n    var l = values.length;\n    for (var i = 1; i < l; i++) {\n        if (values[i] > max) max = values[i];\n    }\n    return max;\n};\n\n/**\n * Computes the minimum of the given values\n * @param {Array} values\n * @returns {number}\n */\nexports.min = function min(values) {\n    var min = values[0];\n    var l = values.length;\n    for (var i = 1; i < l; i++) {\n        if (values[i] < min) min = values[i];\n    }\n    return min;\n};\n\n/**\n * Computes the min and max of the given values\n * @param {Array} values\n * @returns {{min: number, max: number}}\n */\nexports.minMax = function minMax(values) {\n    var min = values[0];\n    var max = values[0];\n    var l = values.length;\n    for (var i = 1; i < l; i++) {\n        if (values[i] < min) min = values[i];\n        if (values[i] > max) max = values[i];\n    }\n    return {\n        min: min,\n        max: max\n    };\n};\n\n/**\n * Computes the arithmetic mean of the given values\n * @param {Array} values\n * @returns {number}\n */\nexports.arithmeticMean = function arithmeticMean(values) {\n    var sum = 0;\n    var l = values.length;\n    for (var i = 0; i < l; i++) {\n        sum += values[i];\n    }\n    return sum / l;\n};\n\n/**\n * {@link arithmeticMean}\n */\nexports.mean = exports.arithmeticMean;\n\n/**\n * Computes the geometric mean of the given values\n * @param {Array} values\n * @returns {number}\n */\nexports.geometricMean = function geometricMean(values) {\n    var mul = 1;\n    var l = values.length;\n    for (var i = 0; i < l; i++) {\n        mul *= values[i];\n    }\n    return Math.pow(mul, 1 / l);\n};\n\n/**\n * Computes the mean of the log of the given values\n * If the return value is exponentiated, it gives the same result as the\n * geometric mean.\n * @param {Array} values\n * @returns {number}\n */\nexports.logMean = function logMean(values) {\n    var lnsum = 0;\n    var l = values.length;\n    for (var i = 0; i < l; i++) {\n        lnsum += Math.log(values[i]);\n    }\n    return lnsum / l;\n};\n\n/**\n * Computes the weighted grand mean for a list of means and sample sizes\n * @param {Array} means - Mean values for each set of samples\n * @param {Array} samples - Number of original values for each set of samples\n * @returns {number}\n */\nexports.grandMean = function grandMean(means, samples) {\n    var sum = 0;\n    var n = 0;\n    var l = means.length;\n    for (var i = 0; i < l; i++) {\n        sum += samples[i] * means[i];\n        n += samples[i];\n    }\n    return sum / n;\n};\n\n/**\n * Computes the truncated mean of the given values using a given percentage\n * @param {Array} values\n * @param {number} percent - The percentage of values to keep (range: [0,1])\n * @param {boolean} [alreadySorted=false]\n * @returns {number}\n */\nexports.truncatedMean = function truncatedMean(values, percent, alreadySorted) {\n    if (alreadySorted === undefined) alreadySorted = false;\n    if (!alreadySorted) {\n        values = [].concat(values).sort(compareNumbers);\n    }\n    var l = values.length;\n    var k = Math.floor(l * percent);\n    var sum = 0;\n    for (var i = k; i < (l - k); i++) {\n        sum += values[i];\n    }\n    return sum / (l - 2 * k);\n};\n\n/**\n * Computes the harmonic mean of the given values\n * @param {Array} values\n * @returns {number}\n */\nexports.harmonicMean = function harmonicMean(values) {\n    var sum = 0;\n    var l = values.length;\n    for (var i = 0; i < l; i++) {\n        if (values[i] === 0) {\n            throw new RangeError('value at index ' + i + 'is zero');\n        }\n        sum += 1 / values[i];\n    }\n    return l / sum;\n};\n\n/**\n * Computes the contraharmonic mean of the given values\n * @param {Array} values\n * @returns {number}\n */\nexports.contraHarmonicMean = function contraHarmonicMean(values) {\n    var r1 = 0;\n    var r2 = 0;\n    var l = values.length;\n    for (var i = 0; i < l; i++) {\n        r1 += values[i] * values[i];\n        r2 += values[i];\n    }\n    if (r2 < 0) {\n        throw new RangeError('sum of values is negative');\n    }\n    return r1 / r2;\n};\n\n/**\n * Computes the median of the given values\n * @param {Array} values\n * @param {boolean} [alreadySorted=false]\n * @returns {number}\n */\nexports.median = function median(values, alreadySorted) {\n    if (alreadySorted === undefined) alreadySorted = false;\n    if (!alreadySorted) {\n        values = [].concat(values).sort(compareNumbers);\n    }\n    var l = values.length;\n    var half = Math.floor(l / 2);\n    if (l % 2 === 0) {\n        return (values[half - 1] + values[half]) * 0.5;\n    } else {\n        return values[half];\n    }\n};\n\n/**\n * Computes the variance of the given values\n * @param {Array} values\n * @param {boolean} [unbiased=true] - if true, divide by (n-1); if false, divide by n.\n * @returns {number}\n */\nexports.variance = function variance(values, unbiased) {\n    if (unbiased === undefined) unbiased = true;\n    var theMean = exports.mean(values);\n    var theVariance = 0;\n    var l = values.length;\n\n    for (var i = 0; i < l; i++) {\n        var x = values[i] - theMean;\n        theVariance += x * x;\n    }\n\n    if (unbiased) {\n        return theVariance / (l - 1);\n    } else {\n        return theVariance / l;\n    }\n};\n\n/**\n * Computes the standard deviation of the given values\n * @param {Array} values\n * @param {boolean} [unbiased=true] - if true, divide by (n-1); if false, divide by n.\n * @returns {number}\n */\nexports.standardDeviation = function standardDeviation(values, unbiased) {\n    return Math.sqrt(exports.variance(values, unbiased));\n};\n\nexports.standardError = function standardError(values) {\n    return exports.standardDeviation(values) / Math.sqrt(values.length);\n};\n\n/**\n * IEEE Transactions on biomedical engineering, vol. 52, no. 1, january 2005, p. 76-\n * Calculate the standard deviation via the Median of the absolute deviation\n *  The formula for the standard deviation only holds for Gaussian random variables.\n * @returns {{mean: number, stdev: number}}\n */\nexports.robustMeanAndStdev = function robustMeanAndStdev(y) {\n    var mean = 0, stdev = 0;\n    var length = y.length, i = 0;\n    for (i = 0; i < length; i++) {\n        mean += y[i];\n    }\n    mean /= length;\n    var averageDeviations = new Array(length);\n    for (i = 0; i < length; i++)\n        averageDeviations[i] = Math.abs(y[i] - mean);\n    averageDeviations.sort(compareNumbers);\n    if (length % 2 === 1) {\n        stdev = averageDeviations[(length - 1) / 2] / 0.6745;\n    } else {\n        stdev = 0.5 * (averageDeviations[length / 2] + averageDeviations[length / 2 - 1]) / 0.6745;\n    }\n\n    return {\n        mean: mean,\n        stdev: stdev\n    };\n};\n\nexports.quartiles = function quartiles(values, alreadySorted) {\n    if (typeof (alreadySorted) === 'undefined') alreadySorted = false;\n    if (!alreadySorted) {\n        values = [].concat(values).sort(compareNumbers);\n    }\n\n    var quart = values.length / 4;\n    var q1 = values[Math.ceil(quart) - 1];\n    var q2 = exports.median(values, true);\n    var q3 = values[Math.ceil(quart * 3) - 1];\n\n    return {q1: q1, q2: q2, q3: q3};\n};\n\nexports.pooledStandardDeviation = function pooledStandardDeviation(samples, unbiased) {\n    return Math.sqrt(exports.pooledVariance(samples, unbiased));\n};\n\nexports.pooledVariance = function pooledVariance(samples, unbiased) {\n    if (typeof (unbiased) === 'undefined') unbiased = true;\n    var sum = 0;\n    var length = 0, l = samples.length;\n    for (var i = 0; i < l; i++) {\n        var values = samples[i];\n        var vari = exports.variance(values);\n\n        sum += (values.length - 1) * vari;\n\n        if (unbiased)\n            length += values.length - 1;\n        else\n            length += values.length;\n    }\n    return sum / length;\n};\n\nexports.mode = function mode(values) {\n    var l = values.length,\n        itemCount = new Array(l),\n        i;\n    for (i = 0; i < l; i++) {\n        itemCount[i] = 0;\n    }\n    var itemArray = new Array(l);\n    var count = 0;\n\n    for (i = 0; i < l; i++) {\n        var index = itemArray.indexOf(values[i]);\n        if (index >= 0)\n            itemCount[index]++;\n        else {\n            itemArray[count] = values[i];\n            itemCount[count] = 1;\n            count++;\n        }\n    }\n\n    var maxValue = 0, maxIndex = 0;\n    for (i = 0; i < count; i++) {\n        if (itemCount[i] > maxValue) {\n            maxValue = itemCount[i];\n            maxIndex = i;\n        }\n    }\n\n    return itemArray[maxIndex];\n};\n\nexports.covariance = function covariance(vector1, vector2, unbiased) {\n    if (typeof (unbiased) === 'undefined') unbiased = true;\n    var mean1 = exports.mean(vector1);\n    var mean2 = exports.mean(vector2);\n\n    if (vector1.length !== vector2.length)\n        throw 'Vectors do not have the same dimensions';\n\n    var cov = 0, l = vector1.length;\n    for (var i = 0; i < l; i++) {\n        var x = vector1[i] - mean1;\n        var y = vector2[i] - mean2;\n        cov += x * y;\n    }\n\n    if (unbiased)\n        return cov / (l - 1);\n    else\n        return cov / l;\n};\n\nexports.skewness = function skewness(values, unbiased) {\n    if (typeof (unbiased) === 'undefined') unbiased = true;\n    var theMean = exports.mean(values);\n\n    var s2 = 0, s3 = 0, l = values.length;\n    for (var i = 0; i < l; i++) {\n        var dev = values[i] - theMean;\n        s2 += dev * dev;\n        s3 += dev * dev * dev;\n    }\n    var m2 = s2 / l;\n    var m3 = s3 / l;\n\n    var g = m3 / (Math.pow(m2, 3 / 2.0));\n    if (unbiased) {\n        var a = Math.sqrt(l * (l - 1));\n        var b = l - 2;\n        return (a / b) * g;\n    } else {\n        return g;\n    }\n};\n\nexports.kurtosis = function kurtosis(values, unbiased) {\n    if (typeof (unbiased) === 'undefined') unbiased = true;\n    var theMean = exports.mean(values);\n    var n = values.length, s2 = 0, s4 = 0;\n\n    for (var i = 0; i < n; i++) {\n        var dev = values[i] - theMean;\n        s2 += dev * dev;\n        s4 += dev * dev * dev * dev;\n    }\n    var m2 = s2 / n;\n    var m4 = s4 / n;\n\n    if (unbiased) {\n        var v = s2 / (n - 1);\n        var a = (n * (n + 1)) / ((n - 1) * (n - 2) * (n - 3));\n        var b = s4 / (v * v);\n        var c = ((n - 1) * (n - 1)) / ((n - 2) * (n - 3));\n\n        return a * b - 3 * c;\n    } else {\n        return m4 / (m2 * m2) - 3;\n    }\n};\n\nexports.entropy = function entropy(values, eps) {\n    if (typeof (eps) === 'undefined') eps = 0;\n    var sum = 0, l = values.length;\n    for (var i = 0; i < l; i++)\n        sum += values[i] * Math.log(values[i] + eps);\n    return -sum;\n};\n\nexports.weightedMean = function weightedMean(values, weights) {\n    var sum = 0, l = values.length;\n    for (var i = 0; i < l; i++)\n        sum += values[i] * weights[i];\n    return sum;\n};\n\nexports.weightedStandardDeviation = function weightedStandardDeviation(values, weights) {\n    return Math.sqrt(exports.weightedVariance(values, weights));\n};\n\nexports.weightedVariance = function weightedVariance(values, weights) {\n    var theMean = exports.weightedMean(values, weights);\n    var vari = 0, l = values.length;\n    var a = 0, b = 0;\n\n    for (var i = 0; i < l; i++) {\n        var z = values[i] - theMean;\n        var w = weights[i];\n\n        vari += w * (z * z);\n        b += w;\n        a += w * w;\n    }\n\n    return vari * (b / (b * b - a));\n};\n\nexports.center = function center(values, inPlace) {\n    if (typeof (inPlace) === 'undefined') inPlace = false;\n\n    var result = values;\n    if (!inPlace)\n        result = [].concat(values);\n\n    var theMean = exports.mean(result), l = result.length;\n    for (var i = 0; i < l; i++)\n        result[i] -= theMean;\n};\n\nexports.standardize = function standardize(values, standardDev, inPlace) {\n    if (typeof (standardDev) === 'undefined') standardDev = exports.standardDeviation(values);\n    if (typeof (inPlace) === 'undefined') inPlace = false;\n    var l = values.length;\n    var result = inPlace ? values : new Array(l);\n    for (var i = 0; i < l; i++)\n        result[i] = values[i] / standardDev;\n    return result;\n};\n\nexports.cumulativeSum = function cumulativeSum(array) {\n    var l = array.length;\n    var result = new Array(l);\n    result[0] = array[0];\n    for (var i = 1; i < l; i++)\n        result[i] = result[i - 1] + array[i];\n    return result;\n};\n","'use strict';\n\nvar arrayStat = require('./array');\n\nfunction compareNumbers(a, b) {\n    return a - b;\n}\n\nexports.max = function max(matrix) {\n    var max = -Infinity;\n    for (var i = 0; i < matrix.length; i++) {\n        for (var j = 0; j < matrix[i].length; j++) {\n            if (matrix[i][j] > max) max = matrix[i][j];\n        }\n    }\n    return max;\n};\n\nexports.min = function min(matrix) {\n    var min = Infinity;\n    for (var i = 0; i < matrix.length; i++) {\n        for (var j = 0; j < matrix[i].length; j++) {\n            if (matrix[i][j] < min) min = matrix[i][j];\n        }\n    }\n    return min;\n};\n\nexports.minMax = function minMax(matrix) {\n    var min = Infinity;\n    var max = -Infinity;\n    for (var i = 0; i < matrix.length; i++) {\n        for (var j = 0; j < matrix[i].length; j++) {\n            if (matrix[i][j] < min) min = matrix[i][j];\n            if (matrix[i][j] > max) max = matrix[i][j];\n        }\n    }\n    return {\n        min:min,\n        max:max\n    };\n};\n\nexports.entropy = function entropy(matrix, eps) {\n    if (typeof (eps) === 'undefined') {\n        eps = 0;\n    }\n    var sum = 0,\n        l1 = matrix.length,\n        l2 = matrix[0].length;\n    for (var i = 0; i < l1; i++) {\n        for (var j = 0; j < l2; j++) {\n            sum += matrix[i][j] * Math.log(matrix[i][j] + eps);\n        }\n    }\n    return -sum;\n};\n\nexports.mean = function mean(matrix, dimension) {\n    if (typeof (dimension) === 'undefined') {\n        dimension = 0;\n    }\n    var rows = matrix.length,\n        cols = matrix[0].length,\n        theMean, N, i, j;\n\n    if (dimension === -1) {\n        theMean = [0];\n        N = rows * cols;\n        for (i = 0; i < rows; i++) {\n            for (j = 0; j < cols; j++) {\n                theMean[0] += matrix[i][j];\n            }\n        }\n        theMean[0] /= N;\n    } else if (dimension === 0) {\n        theMean = new Array(cols);\n        N = rows;\n        for (j = 0; j < cols; j++) {\n            theMean[j] = 0;\n            for (i = 0; i < rows; i++) {\n                theMean[j] += matrix[i][j];\n            }\n            theMean[j] /= N;\n        }\n    } else if (dimension === 1) {\n        theMean = new Array(rows);\n        N = cols;\n        for (j = 0; j < rows; j++) {\n            theMean[j] = 0;\n            for (i = 0; i < cols; i++) {\n                theMean[j] += matrix[j][i];\n            }\n            theMean[j] /= N;\n        }\n    } else {\n        throw new Error('Invalid dimension');\n    }\n    return theMean;\n};\n\nexports.sum = function sum(matrix, dimension) {\n    if (typeof (dimension) === 'undefined') {\n        dimension = 0;\n    }\n    var rows = matrix.length,\n        cols = matrix[0].length,\n        theSum, i, j;\n\n    if (dimension === -1) {\n        theSum = [0];\n        for (i = 0; i < rows; i++) {\n            for (j = 0; j < cols; j++) {\n                theSum[0] += matrix[i][j];\n            }\n        }\n    } else if (dimension === 0) {\n        theSum = new Array(cols);\n        for (j = 0; j < cols; j++) {\n            theSum[j] = 0;\n            for (i = 0; i < rows; i++) {\n                theSum[j] += matrix[i][j];\n            }\n        }\n    } else if (dimension === 1) {\n        theSum = new Array(rows);\n        for (j = 0; j < rows; j++) {\n            theSum[j] = 0;\n            for (i = 0; i < cols; i++) {\n                theSum[j] += matrix[j][i];\n            }\n        }\n    } else {\n        throw new Error('Invalid dimension');\n    }\n    return theSum;\n};\n\nexports.product = function product(matrix, dimension) {\n    if (typeof (dimension) === 'undefined') {\n        dimension = 0;\n    }\n    var rows = matrix.length,\n        cols = matrix[0].length,\n        theProduct, i, j;\n\n    if (dimension === -1) {\n        theProduct = [1];\n        for (i = 0; i < rows; i++) {\n            for (j = 0; j < cols; j++) {\n                theProduct[0] *= matrix[i][j];\n            }\n        }\n    } else if (dimension === 0) {\n        theProduct = new Array(cols);\n        for (j = 0; j < cols; j++) {\n            theProduct[j] = 1;\n            for (i = 0; i < rows; i++) {\n                theProduct[j] *= matrix[i][j];\n            }\n        }\n    } else if (dimension === 1) {\n        theProduct = new Array(rows);\n        for (j = 0; j < rows; j++) {\n            theProduct[j] = 1;\n            for (i = 0; i < cols; i++) {\n                theProduct[j] *= matrix[j][i];\n            }\n        }\n    } else {\n        throw new Error('Invalid dimension');\n    }\n    return theProduct;\n};\n\nexports.standardDeviation = function standardDeviation(matrix, means, unbiased) {\n    var vari = exports.variance(matrix, means, unbiased), l = vari.length;\n    for (var i = 0; i < l; i++) {\n        vari[i] = Math.sqrt(vari[i]);\n    }\n    return vari;\n};\n\nexports.variance = function variance(matrix, means, unbiased) {\n    if (typeof (unbiased) === 'undefined') {\n        unbiased = true;\n    }\n    means = means || exports.mean(matrix);\n    var rows = matrix.length;\n    if (rows === 0) return [];\n    var cols = matrix[0].length;\n    var vari = new Array(cols);\n\n    for (var j = 0; j < cols; j++) {\n        var sum1 = 0, sum2 = 0, x = 0;\n        for (var i = 0; i < rows; i++) {\n            x = matrix[i][j] - means[j];\n            sum1 += x;\n            sum2 += x * x;\n        }\n        if (unbiased) {\n            vari[j] = (sum2 - ((sum1 * sum1) / rows)) / (rows - 1);\n        } else {\n            vari[j] = (sum2 - ((sum1 * sum1) / rows)) / rows;\n        }\n    }\n    return vari;\n};\n\nexports.median = function median(matrix) {\n    var rows = matrix.length, cols = matrix[0].length;\n    var medians = new Array(cols);\n\n    for (var i = 0; i < cols; i++) {\n        var data = new Array(rows);\n        for (var j = 0; j < rows; j++) {\n            data[j] = matrix[j][i];\n        }\n        data.sort(compareNumbers);\n        var N = data.length;\n        if (N % 2 === 0) {\n            medians[i] = (data[N / 2] + data[(N / 2) - 1]) * 0.5;\n        } else {\n            medians[i] = data[Math.floor(N / 2)];\n        }\n    }\n    return medians;\n};\n\nexports.mode = function mode(matrix) {\n    var rows = matrix.length,\n        cols = matrix[0].length,\n        modes = new Array(cols),\n        i, j;\n    for (i = 0; i < cols; i++) {\n        var itemCount = new Array(rows);\n        for (var k = 0; k < rows; k++) {\n            itemCount[k] = 0;\n        }\n        var itemArray = new Array(rows);\n        var count = 0;\n\n        for (j = 0; j < rows; j++) {\n            var index = itemArray.indexOf(matrix[j][i]);\n            if (index >= 0) {\n                itemCount[index]++;\n            } else {\n                itemArray[count] = matrix[j][i];\n                itemCount[count] = 1;\n                count++;\n            }\n        }\n\n        var maxValue = 0, maxIndex = 0;\n        for (j = 0; j < count; j++) {\n            if (itemCount[j] > maxValue) {\n                maxValue = itemCount[j];\n                maxIndex = j;\n            }\n        }\n\n        modes[i] = itemArray[maxIndex];\n    }\n    return modes;\n};\n\nexports.skewness = function skewness(matrix, unbiased) {\n    if (typeof (unbiased) === 'undefined') unbiased = true;\n    var means = exports.mean(matrix);\n    var n = matrix.length, l = means.length;\n    var skew = new Array(l);\n\n    for (var j = 0; j < l; j++) {\n        var s2 = 0, s3 = 0;\n        for (var i = 0; i < n; i++) {\n            var dev = matrix[i][j] - means[j];\n            s2 += dev * dev;\n            s3 += dev * dev * dev;\n        }\n\n        var m2 = s2 / n;\n        var m3 = s3 / n;\n        var g = m3 / Math.pow(m2, 3 / 2);\n\n        if (unbiased) {\n            var a = Math.sqrt(n * (n - 1));\n            var b = n - 2;\n            skew[j] = (a / b) * g;\n        } else {\n            skew[j] = g;\n        }\n    }\n    return skew;\n};\n\nexports.kurtosis = function kurtosis(matrix, unbiased) {\n    if (typeof (unbiased) === 'undefined') unbiased = true;\n    var means = exports.mean(matrix);\n    var n = matrix.length, m = matrix[0].length;\n    var kurt = new Array(m);\n\n    for (var j = 0; j < m; j++) {\n        var s2 = 0, s4 = 0;\n        for (var i = 0; i < n; i++) {\n            var dev = matrix[i][j] - means[j];\n            s2 += dev * dev;\n            s4 += dev * dev * dev * dev;\n        }\n        var m2 = s2 / n;\n        var m4 = s4 / n;\n\n        if (unbiased) {\n            var v = s2 / (n - 1);\n            var a = (n * (n + 1)) / ((n - 1) * (n - 2) * (n - 3));\n            var b = s4 / (v * v);\n            var c = ((n - 1) * (n - 1)) / ((n - 2) * (n - 3));\n            kurt[j] = a * b - 3 * c;\n        } else {\n            kurt[j] = m4 / (m2 * m2) - 3;\n        }\n    }\n    return kurt;\n};\n\nexports.standardError = function standardError(matrix) {\n    var samples = matrix.length;\n    var standardDeviations = exports.standardDeviation(matrix);\n    var l = standardDeviations.length;\n    var standardErrors = new Array(l);\n    var sqrtN = Math.sqrt(samples);\n\n    for (var i = 0; i < l; i++) {\n        standardErrors[i] = standardDeviations[i] / sqrtN;\n    }\n    return standardErrors;\n};\n\nexports.covariance = function covariance(matrix, dimension) {\n    return exports.scatter(matrix, undefined, dimension);\n};\n\nexports.scatter = function scatter(matrix, divisor, dimension) {\n    if (typeof (dimension) === 'undefined') {\n        dimension = 0;\n    }\n    if (typeof (divisor) === 'undefined') {\n        if (dimension === 0) {\n            divisor = matrix.length - 1;\n        } else if (dimension === 1) {\n            divisor = matrix[0].length - 1;\n        }\n    }\n    var means = exports.mean(matrix, dimension);\n    var rows = matrix.length;\n    if (rows === 0) {\n        return [[]];\n    }\n    var cols = matrix[0].length,\n        cov, i, j, s, k;\n\n    if (dimension === 0) {\n        cov = new Array(cols);\n        for (i = 0; i < cols; i++) {\n            cov[i] = new Array(cols);\n        }\n        for (i = 0; i < cols; i++) {\n            for (j = i; j < cols; j++) {\n                s = 0;\n                for (k = 0; k < rows; k++) {\n                    s += (matrix[k][j] - means[j]) * (matrix[k][i] - means[i]);\n                }\n                s /= divisor;\n                cov[i][j] = s;\n                cov[j][i] = s;\n            }\n        }\n    } else if (dimension === 1) {\n        cov = new Array(rows);\n        for (i = 0; i < rows; i++) {\n            cov[i] = new Array(rows);\n        }\n        for (i = 0; i < rows; i++) {\n            for (j = i; j < rows; j++) {\n                s = 0;\n                for (k = 0; k < cols; k++) {\n                    s += (matrix[j][k] - means[j]) * (matrix[i][k] - means[i]);\n                }\n                s /= divisor;\n                cov[i][j] = s;\n                cov[j][i] = s;\n            }\n        }\n    } else {\n        throw new Error('Invalid dimension');\n    }\n\n    return cov;\n};\n\nexports.correlation = function correlation(matrix) {\n    var means = exports.mean(matrix),\n        standardDeviations = exports.standardDeviation(matrix, true, means),\n        scores = exports.zScores(matrix, means, standardDeviations),\n        rows = matrix.length,\n        cols = matrix[0].length,\n        i, j;\n\n    var cor = new Array(cols);\n    for (i = 0; i < cols; i++) {\n        cor[i] = new Array(cols);\n    }\n    for (i = 0; i < cols; i++) {\n        for (j = i; j < cols; j++) {\n            var c = 0;\n            for (var k = 0, l = scores.length; k < l; k++) {\n                c += scores[k][j] * scores[k][i];\n            }\n            c /= rows - 1;\n            cor[i][j] = c;\n            cor[j][i] = c;\n        }\n    }\n    return cor;\n};\n\nexports.zScores = function zScores(matrix, means, standardDeviations) {\n    means = means || exports.mean(matrix);\n    if (typeof (standardDeviations) === 'undefined') standardDeviations = exports.standardDeviation(matrix, true, means);\n    return exports.standardize(exports.center(matrix, means, false), standardDeviations, true);\n};\n\nexports.center = function center(matrix, means, inPlace) {\n    means = means || exports.mean(matrix);\n    var result = matrix,\n        l = matrix.length,\n        i, j, jj;\n\n    if (!inPlace) {\n        result = new Array(l);\n        for (i = 0; i < l; i++) {\n            result[i] = new Array(matrix[i].length);\n        }\n    }\n\n    for (i = 0; i < l; i++) {\n        var row = result[i];\n        for (j = 0, jj = row.length; j < jj; j++) {\n            row[j] = matrix[i][j] - means[j];\n        }\n    }\n    return result;\n};\n\nexports.standardize = function standardize(matrix, standardDeviations, inPlace) {\n    if (typeof (standardDeviations) === 'undefined') standardDeviations = exports.standardDeviation(matrix);\n    var result = matrix,\n        l = matrix.length,\n        i, j, jj;\n\n    if (!inPlace) {\n        result = new Array(l);\n        for (i = 0; i < l; i++) {\n            result[i] = new Array(matrix[i].length);\n        }\n    }\n\n    for (i = 0; i < l; i++) {\n        var resultRow = result[i];\n        var sourceRow = matrix[i];\n        for (j = 0, jj = resultRow.length; j < jj; j++) {\n            if (standardDeviations[j] !== 0 && !isNaN(standardDeviations[j])) {\n                resultRow[j] = sourceRow[j] / standardDeviations[j];\n            }\n        }\n    }\n    return result;\n};\n\nexports.weightedVariance = function weightedVariance(matrix, weights) {\n    var means = exports.mean(matrix);\n    var rows = matrix.length;\n    if (rows === 0) return [];\n    var cols = matrix[0].length;\n    var vari = new Array(cols);\n\n    for (var j = 0; j < cols; j++) {\n        var sum = 0;\n        var a = 0, b = 0;\n\n        for (var i = 0; i < rows; i++) {\n            var z = matrix[i][j] - means[j];\n            var w = weights[i];\n\n            sum += w * (z * z);\n            b += w;\n            a += w * w;\n        }\n\n        vari[j] = sum * (b / (b * b - a));\n    }\n\n    return vari;\n};\n\nexports.weightedMean = function weightedMean(matrix, weights, dimension) {\n    if (typeof (dimension) === 'undefined') {\n        dimension = 0;\n    }\n    var rows = matrix.length;\n    if (rows === 0) return [];\n    var cols = matrix[0].length,\n        means, i, ii, j, w, row;\n\n    if (dimension === 0) {\n        means = new Array(cols);\n        for (i = 0; i < cols; i++) {\n            means[i] = 0;\n        }\n        for (i = 0; i < rows; i++) {\n            row = matrix[i];\n            w = weights[i];\n            for (j = 0; j < cols; j++) {\n                means[j] += row[j] * w;\n            }\n        }\n    } else if (dimension === 1) {\n        means = new Array(rows);\n        for (i = 0; i < rows; i++) {\n            means[i] = 0;\n        }\n        for (j = 0; j < rows; j++) {\n            row = matrix[j];\n            w = weights[j];\n            for (i = 0; i < cols; i++) {\n                means[j] += row[i] * w;\n            }\n        }\n    } else {\n        throw new Error('Invalid dimension');\n    }\n\n    var weightSum = arrayStat.sum(weights);\n    if (weightSum !== 0) {\n        for (i = 0, ii = means.length; i < ii; i++) {\n            means[i] /= weightSum;\n        }\n    }\n    return means;\n};\n\nexports.weightedCovariance = function weightedCovariance(matrix, weights, means, dimension) {\n    dimension = dimension || 0;\n    means = means || exports.weightedMean(matrix, weights, dimension);\n    var s1 = 0, s2 = 0;\n    for (var i = 0, ii = weights.length; i < ii; i++) {\n        s1 += weights[i];\n        s2 += weights[i] * weights[i];\n    }\n    var factor = s1 / (s1 * s1 - s2);\n    return exports.weightedScatter(matrix, weights, means, factor, dimension);\n};\n\nexports.weightedScatter = function weightedScatter(matrix, weights, means, factor, dimension) {\n    dimension = dimension || 0;\n    means = means || exports.weightedMean(matrix, weights, dimension);\n    if (typeof (factor) === 'undefined') {\n        factor = 1;\n    }\n    var rows = matrix.length;\n    if (rows === 0) {\n        return [[]];\n    }\n    var cols = matrix[0].length,\n        cov, i, j, k, s;\n\n    if (dimension === 0) {\n        cov = new Array(cols);\n        for (i = 0; i < cols; i++) {\n            cov[i] = new Array(cols);\n        }\n        for (i = 0; i < cols; i++) {\n            for (j = i; j < cols; j++) {\n                s = 0;\n                for (k = 0; k < rows; k++) {\n                    s += weights[k] * (matrix[k][j] - means[j]) * (matrix[k][i] - means[i]);\n                }\n                cov[i][j] = s * factor;\n                cov[j][i] = s * factor;\n            }\n        }\n    } else if (dimension === 1) {\n        cov = new Array(rows);\n        for (i = 0; i < rows; i++) {\n            cov[i] = new Array(rows);\n        }\n        for (i = 0; i < rows; i++) {\n            for (j = i; j < rows; j++) {\n                s = 0;\n                for (k = 0; k < cols; k++) {\n                    s += weights[k] * (matrix[j][k] - means[j]) * (matrix[i][k] - means[i]);\n                }\n                cov[i][j] = s * factor;\n                cov[j][i] = s * factor;\n            }\n        }\n    } else {\n        throw new Error('Invalid dimension');\n    }\n\n    return cov;\n};\n","'use strict';\n\nexports.array = require('./array');\nexports.matrix = require('./matrix');\n","import { array as StatArray } from 'ml-stat';\nexport function normalize(array) {\n    const min = StatArray.min(array[1]);\n    const max = StatArray.max(array[1]);\n    const sum = StatArray.sum(array[1]);\n    const length = array[1] ? array[1].length : 0;\n    if (sum !== 0) {\n        for (let i = 0; i < length; i++) {\n            array[1][i] /= sum;\n        }\n    }\n    return {\n        sum,\n        min,\n        max,\n    };\n}\n//# sourceMappingURL=normalize.js.map","import { extract } from './extract';\nimport { getCommonArray } from './getCommonArray';\nimport { normalize } from './normalize';\nimport { COMMON_SECOND, COMMON_FIRST } from './index';\n// this method will systematically take care of both array\nexport function commonExtractAndNormalize(array1, array2, width, from, to, common) {\n    if (!Array.isArray(array1) || !Array.isArray(array2)) {\n        return {\n            info: undefined,\n            data: undefined,\n        };\n    }\n    const extract1 = extract(array1, from, to);\n    const extract2 = extract(array2, from, to);\n    let common1, common2, info1, info2;\n    if (common & COMMON_SECOND) {\n        common1 = getCommonArray(extract1, extract2, width);\n        info1 = normalize(common1);\n    }\n    else {\n        common1 = extract1;\n        info1 = normalize(common1);\n    }\n    if (common & COMMON_FIRST) {\n        common2 = getCommonArray(extract2, extract1, width);\n        info2 = normalize(common2);\n    }\n    else {\n        common2 = extract2;\n        info2 = normalize(common2);\n    }\n    return {\n        info1,\n        info2,\n        data1: common1,\n        data2: common2,\n    };\n}\n//# sourceMappingURL=commonExtractAndNormalize.js.map","import { extract } from './extract';\nimport { normalize } from './normalize';\nexport function extractAndNormalize(array, from, to) {\n    if (!Array.isArray(array)) {\n        return {\n            info: undefined,\n            data: undefined,\n        };\n    }\n    const newArray = extract(array, from, to);\n    const info = normalize(newArray);\n    return {\n        info,\n        data: newArray,\n    };\n}\n//# sourceMappingURL=extractAndNormalize.js.map","// Adapted from: http://stackoverflow.com/questions/563198/how-do-you-detect-where-two-line-segments-intersect/1968345#1968345\nexport function getIntersection(segment1, segment2) {\n    const p0X = segment1[0][0];\n    const p0Y = segment1[0][1];\n    const p1X = segment1[1][0];\n    const p1Y = segment1[1][1];\n    const p2X = segment2[0][0];\n    const p2Y = segment2[0][1];\n    const p3X = segment2[1][0];\n    const p3Y = segment2[1][1];\n    const s1X = p1X - p0X;\n    const s1Y = p1Y - p0Y;\n    const s2X = p3X - p2X;\n    const s2Y = p3Y - p2Y;\n    const s = (-s1Y * (p0X - p2X) + s1X * (p0Y - p2Y)) / (-s2X * s1Y + s1X * s2Y);\n    const t = (s2X * (p0Y - p2Y) - s2Y * (p0X - p2X)) / (-s2X * s1Y + s1X * s2Y);\n    if (s >= 0 && s <= 1 && t >= 0 && t <= 1) {\n        return {\n            x: p0X + t * s1X,\n            y: p0Y + t * s1Y,\n        };\n    }\n    return null; // No collision\n}\n//# sourceMappingURL=getIntersection.js.map","import { calculateOverlapFromDiff } from './calculateOverlapFromDiff';\nimport { checkPeaks } from './checkPeaks';\nimport { commonExtractAndNormalize } from './commonExtractAndNormalize';\nimport { extract } from './extract';\nimport { extractAndNormalize } from './extractAndNormalize';\nimport { getCommonArray } from './getCommonArray.js';\nimport { getIntersection } from './getIntersection';\nimport { normalize } from './normalize';\nexport const COMMON_NO = 0;\nexport const COMMON_FIRST = 1;\nexport const COMMON_SECOND = 2;\nexport const COMMON_BOTH = 3;\n/**\n * A number, or a string containing a number.\n * @typedef {([number[],number[]]|[number,number][]|{x:number[],y:number[]})} Peaks\n */\n/**\n * Create a comparator class\n * {object} [options={}]\n * {string} [options.common=''] should we take only common peaks 'first', 'second', 'both', ''\n * {number} [options.widthBottom=2] bottom trapezoid width for similarity evaluation\n * {number} [options.widthTop=1] top trapezoid width for similarity evaluation\n * {number} [options.from] from region used for similarity calculation\n * {number} [options.to] to region used for similarity calculation\n */\nexport class Comparator {\n    constructor(options = {}) {\n        this.array1 = [];\n        this.array2 = [];\n        this.setOptions(options);\n    }\n    /*\n       2 formats are allowed:\n       [[x1,x2,...],[y1,y2,...]] or [[x1,y1],[x2,y2], ...]\n      */\n    setOptions(options = {}) {\n        if (typeof options.common === 'string') {\n            if (options.common.toLowerCase() === 'first') {\n                this.common = COMMON_FIRST;\n            }\n            else if (options.common.toLowerCase() === 'second') {\n                this.common = COMMON_SECOND;\n            }\n            else if (options.common.toLowerCase() === 'both') {\n                this.common = COMMON_BOTH;\n            }\n            else {\n                this.common = COMMON_NO;\n            }\n        }\n        else if (options.common === true) {\n            this.common = COMMON_BOTH;\n        }\n        else {\n            this.common = COMMON_NO;\n        }\n        this.trapezoid = options.trapezoid;\n        this.commonFactor = options.commonFactor || this.commonFactor || 4;\n        const { widthBottom = this.widthBottom || 2, widthTop = this.widthTop || 1, from = this.from, to = this.to, } = options;\n        this.setTrapezoid(widthBottom, widthTop);\n        this.setFromTo(from, to);\n    }\n    /**\n     *\n     * @param {Peaks} peaks\n     */\n    setPeaks1(peaks) {\n        this.array1 = checkPeaks(peaks);\n        if (this.common) {\n            const extracts = commonExtractAndNormalize(this.array1, this.array2, this.widthBottom, this.from, this.to, this.common);\n            this.array1Extract = extracts.data1;\n            this.array1ExtractInfo = extracts.info1;\n            this.array2Extract = extracts.data2;\n            this.array2ExtractInfo = extracts.info2;\n        }\n        else {\n            const extract = extractAndNormalize(this.array1, this.from, this.to);\n            this.array1Extract = extract.data;\n            this.array1ExtractInfo = extract.info;\n        }\n    }\n    /**\n     *\n     * @param {Peaks} peaks\n     */\n    setPeaks2(peaks) {\n        this.array2 = checkPeaks(peaks);\n        if (this.common) {\n            const extracts = commonExtractAndNormalize(this.array1, this.array2, this.widthBottom, this.from, this.to, this.common);\n            this.array1Extract = extracts.data1;\n            this.array1ExtractInfo = extracts.info1;\n            this.array2Extract = extracts.data2;\n            this.array2ExtractInfo = extracts.info2;\n        }\n        else {\n            const extract = extractAndNormalize(this.array2, this.from, this.to);\n            this.array2Extract = extract.data;\n            this.array2ExtractInfo = extract.info;\n        }\n    }\n    getExtract1() {\n        return this.array1Extract;\n    }\n    getExtract2() {\n        return this.array2Extract;\n    }\n    getExtractInfo1() {\n        return this.array1ExtractInfo;\n    }\n    getExtractInfo2() {\n        return this.array2ExtractInfo;\n    }\n    /**\n     * Set the new bottom and top width of the trapezoid\n     * @param {number} newWidthBottom\n     * @param {number} newWidthTop\n     */\n    setTrapezoid(newWidthBottom, newWidthTop) {\n        this.widthTop = newWidthTop;\n        this.widthBottom = newWidthBottom;\n        this.widthSlope = (this.widthBottom - this.widthTop) / 2;\n        if (this.widthBottom < this.widthTop) {\n            throw new Error('widthBottom has to be larger than widthTop');\n        }\n    }\n    /**\n     * Set the from / to for comparison\n     * @param {number} newFrom - set the new from value\n     * @param {number} newTo - set the new to value\n     * @returns\n     */\n    setFromTo(newFrom, newTo) {\n        if (newFrom === this.from && newTo === this.to)\n            return;\n        this.from = newFrom;\n        this.to = newTo;\n        if (this.common) {\n            const extracts = commonExtractAndNormalize(this.array1, this.array2, this.widthBottom, this.from, this.to, this.common, this.commonFactor);\n            this.array1Extract = extracts.data1;\n            this.array1ExtractInfo = extracts.info1;\n            this.array2Extract = extracts.data2;\n            this.array2ExtractInfo = extracts.info2;\n        }\n        else {\n            let extract1 = extractAndNormalize(this.array1, this.from, this.to);\n            this.array1Extract = extract1.data;\n            this.array1ExtractInfo = extract1.info;\n            let extract2 = extractAndNormalize(this.array2, this.from, this.to);\n            this.array2Extract = extract2.data;\n            this.array2ExtractInfo = extract2.info;\n        }\n    }\n    /**\n     *\n     * @param {number} x1\n     * @param {number} y1\n     * @param {number} x2\n     * @param {number} y2\n     * @returns\n     */\n    getOverlap(x1, y1, x2, y2) {\n        if (y1 === 0 || y2 === 0)\n            return 0;\n        // TAKE CARE !!! We multiply the diff by 2 !!!\n        const diff = Math.abs(x1 - x2) * 2;\n        if (diff > this.widthBottom)\n            return 0;\n        if (diff <= this.widthTop) {\n            return Math.min(y1, y2);\n        }\n        const maxValue = (Math.max(y1, y2) * (this.widthBottom - diff)) /\n            (this.widthBottom - this.widthTop);\n        return Math.min(y1, y2, maxValue);\n    }\n    /**\n     * This is the old trapezoid similarity\n     * @param {number} x1\n     * @param {number} y1\n     * @param {number} x2\n     * @param {number} y2\n     * @param {number} widthTop\n     * @param {number} widthBottom\n     * @returns\n     */\n    getOverlapTrapezoid(x1, y1, x2, y2, widthTop, widthBottom) {\n        // eslint-disable-next-line no-console\n        console.error('getOverlapTrapezoid should not be used anymore');\n        const factor = 2 / (widthTop + widthBottom); // correction for surface=1\n        if (y1 === 0 || y2 === 0)\n            return 0;\n        if (x1 === x2) {\n            // they have the same position\n            return Math.min(y1, y2);\n        }\n        const diff = Math.abs(x1 - x2);\n        if (diff >= widthBottom)\n            return 0;\n        if (y1 === y2) {\n            // do they have the same height ???\n            // we need to find the common length\n            if (diff <= widthTop) {\n                return ((widthTop + widthBottom) / 2 - diff) * y1 * factor;\n            }\n            else if (diff <= widthBottom) {\n                return ((((((widthBottom - diff) * y1) / 2) * (diff - widthTop)) /\n                    (widthBottom - widthTop)) *\n                    factor);\n            }\n            return 0;\n        }\n        else {\n            // the height are different and not the same position ...\n            // we need to consider only one segment to find its intersection\n            const small = Math.min(y1, y2);\n            const big = Math.max(y1, y2);\n            const targets = [\n                [\n                    [0, 0],\n                    [this.widthSlope, small],\n                ],\n                [\n                    [this.widthSlope, small],\n                    [this.widthSlope + widthTop, small],\n                ],\n                [\n                    [widthTop + this.widthSlope, small],\n                    [widthBottom, 0],\n                ],\n            ];\n            let segment;\n            if ((x1 > x2 && y1 > y2) || (x1 < x2 && y1 < y2)) {\n                segment = [\n                    [diff, 0],\n                    [diff + this.widthSlope, big],\n                ];\n            }\n            else {\n                segment = [\n                    [diff + this.widthSlope, big],\n                    [diff, 0],\n                ];\n            }\n            for (let i = 0; i < 3; i++) {\n                const intersection = getIntersection(targets[i], segment);\n                if (intersection) {\n                    switch (i) {\n                        case 0:\n                            return small - ((diff * intersection.y) / 2) * factor;\n                        case 1: // to simplify ...\n                            //     console.log(\"           \",widthSlope,small,big,intersection.x)\n                            return ((((this.widthSlope * small) / (2 * big)) * small +\n                                (widthTop + this.widthSlope - intersection.x) * small +\n                                (this.widthSlope * small) / 2) *\n                                factor);\n                        case 2:\n                            return (((widthBottom - diff) * intersection.y) / 2) * factor;\n                        default:\n                            throw new Error(`unexpected intersection value: ${i}`);\n                    }\n                }\n            }\n        }\n        return NaN;\n    }\n    /**\n     * This method calculates the total diff. The sum of positive value will yield to overlap\n     * @returns\n     */\n    calculateDiff() {\n        // we need to take 2 pointers\n        // and travel progressively between them ...\n        const newFirst = [\n            this.array1Extract[0].slice(),\n            this.array1Extract[1].slice(),\n        ];\n        const newSecond = [\n            this.array2Extract[0].slice(),\n            this.array2Extract[1].slice(),\n        ];\n        const array1Length = this.array1Extract[0]\n            ? this.array1Extract[0].length\n            : 0;\n        const array2Length = this.array2Extract[0]\n            ? this.array2Extract[0].length\n            : 0;\n        let pos1 = 0;\n        let pos2 = 0;\n        let previous2 = 0;\n        while (pos1 < array1Length) {\n            const diff = newFirst[0][pos1] - this.array2Extract[0][pos2];\n            if (Math.abs(diff) < this.widthBottom) {\n                // there is some overlap\n                let overlap;\n                if (this.trapezoid) {\n                    // old trapezoid overlap similarity\n                    overlap = this.getOverlapTrapezoid(newFirst[0][pos1], newFirst[1][pos1], newSecond[0][pos2], newSecond[1][pos2], this.widthTop, this.widthBottom);\n                }\n                else {\n                    overlap = this.getOverlap(newFirst[0][pos1], newFirst[1][pos1], newSecond[0][pos2], newSecond[1][pos2], this.widthTop, this.widthBottom);\n                }\n                newFirst[1][pos1] -= overlap;\n                newSecond[1][pos2] -= overlap;\n                if (pos2 < array2Length - 1) {\n                    pos2++;\n                }\n                else {\n                    pos1++;\n                    pos2 = previous2;\n                }\n            }\n            else if (diff > 0 && pos2 < array2Length - 1) {\n                pos2++;\n                previous2 = pos2;\n            }\n            else {\n                pos1++;\n                pos2 = previous2;\n            }\n        }\n        return newSecond;\n    }\n    /**\n     * Set the new peaks and return info\n     * @param {Peaks} newPeaks1\n     * @param {Peaks} newPeaks2\n     * @returns\n     */\n    getSimilarity(newPeaks1, newPeaks2) {\n        if (newPeaks1)\n            this.setPeaks1(newPeaks1);\n        if (newPeaks2)\n            this.setPeaks2(newPeaks2);\n        const diff = this.calculateDiff();\n        return {\n            diff,\n            extract1: this.getExtract1(),\n            extract2: this.getExtract2(),\n            extractInfo1: this.getExtractInfo1(),\n            extractInfo2: this.getExtractInfo2(),\n            similarity: calculateOverlapFromDiff(diff),\n            widthBottom: this.widthBottom,\n            widthTop: this.widthTop,\n        };\n    }\n    /**\n     * This works mainly when you have a array1 that is fixed\n     * newPeaks2 have to be normalized ! (sum to 1)\n     * @param {Peaks} newPeaks2\n     * @param {number} from\n     * @param {number} to\n     * @returns\n     */\n    fastSimilarity(newPeaks2, from, to) {\n        this.array1Extract = extract(this.array1, from, to);\n        this.array2Extract = newPeaks2;\n        if (this.common & COMMON_SECOND) {\n            this.array1Extract = getCommonArray(this.array1Extract, this.array2Extract, this.widthBottom);\n        }\n        normalize(this.array1Extract);\n        const diff = this.calculateDiff();\n        return calculateOverlapFromDiff(diff);\n    }\n}\n//# sourceMappingURL=index.js.map","var IDX=256, HEX=[], BUFFER;\nwhile (IDX--) HEX[IDX] = (IDX + 256).toString(16).substring(1);\n\nexport function v4() {\n\tvar i=0, num, out='';\n\n\tif (!BUFFER || ((IDX + 16) > 256)) {\n\t\tBUFFER = Array(i=256);\n\t\twhile (i--) BUFFER[i] = 256 * Math.random() | 0;\n\t\ti = IDX = 0;\n\t}\n\n\tfor (; i < 16; i++) {\n\t\tnum = BUFFER[IDX + i];\n\t\tif (i==6) out += HEX[num & 15 | 64];\n\t\telse if (i==8) out += HEX[num & 63 | 128];\n\t\telse out += HEX[num];\n\n\t\tif (i & 1 && i > 1 && i < 11) out += '-';\n\t}\n\n\tIDX++;\n\treturn out;\n}\n","import { isAnyArray } from 'is-any-array';\n/**\n * Apply Savitzky Golay algorithm\n * @param [ys] Array of y values\n * @param [xs] Array of X or deltaX\n * @return  Array containing the new ys (same length)\n */\nexport function sgg(ys, xs, options = {}) {\n    let { windowSize = 9, derivative = 0, polynomial = 3 } = options;\n    if (windowSize % 2 === 0 || windowSize < 5 || !Number.isInteger(windowSize)) {\n        throw new RangeError('Invalid window size (should be odd and at least 5 integer number)');\n    }\n    if (!isAnyArray(ys)) {\n        throw new TypeError('Y values must be an array');\n    }\n    if (typeof xs === 'undefined') {\n        throw new TypeError('X must be defined');\n    }\n    if (windowSize > ys.length) {\n        throw new RangeError(`Window size is higher than the data length ${windowSize}>${ys.length}`);\n    }\n    if (derivative < 0 || !Number.isInteger(derivative)) {\n        throw new RangeError('Derivative should be a positive integer');\n    }\n    if (polynomial < 1 || !Number.isInteger(polynomial)) {\n        throw new RangeError('Polynomial should be a positive integer');\n    }\n    if (polynomial >= 6) {\n        // eslint-disable-next-line no-console\n        console.warn('You should not use polynomial grade higher than 5 if you are' +\n            ' not sure that your data arises from such a model. Possible polynomial oscillation problems');\n    }\n    let half = Math.floor(windowSize / 2);\n    let np = ys.length;\n    let ans = new Float64Array(np);\n    let weights = fullWeights(windowSize, polynomial, derivative);\n    let hs = 0;\n    let constantH = true;\n    if (isAnyArray(xs)) {\n        constantH = false;\n    }\n    else {\n        hs = Math.pow(xs, derivative);\n    }\n    //For the borders\n    for (let i = 0; i < half; i++) {\n        let wg1 = weights[half - i - 1];\n        let wg2 = weights[half + i + 1];\n        let d1 = 0;\n        let d2 = 0;\n        for (let l = 0; l < windowSize; l++) {\n            d1 += wg1[l] * ys[l];\n            d2 += wg2[l] * ys[np - windowSize + l];\n        }\n        if (constantH) {\n            ans[half - i - 1] = d1 / hs;\n            ans[np - half + i] = d2 / hs;\n        }\n        else {\n            hs = getHs(xs, half - i - 1, half, derivative);\n            ans[half - i - 1] = d1 / hs;\n            hs = getHs(xs, np - half + i, half, derivative);\n            ans[np - half + i] = d2 / hs;\n        }\n    }\n    //For the internal points\n    let wg = weights[half];\n    for (let i = windowSize; i <= np; i++) {\n        let d = 0;\n        for (let l = 0; l < windowSize; l++)\n            d += wg[l] * ys[l + i - windowSize];\n        if (!constantH) {\n            hs = getHs(xs, i - half - 1, half, derivative);\n        }\n        ans[i - half - 1] = d / hs;\n    }\n    return ans;\n}\nfunction getHs(h, center, half, derivative) {\n    let hs = 0;\n    let count = 0;\n    for (let i = center - half; i < center + half; i++) {\n        if (i >= 0 && i < h.length - 1) {\n            hs += h[i + 1] - h[i];\n            count++;\n        }\n    }\n    return Math.pow(hs / count, derivative);\n}\nfunction gramPoly(i, m, k, s) {\n    let Grampoly = 0;\n    if (k > 0) {\n        Grampoly =\n            ((4 * k - 2) / (k * (2 * m - k + 1))) *\n                (i * gramPoly(i, m, k - 1, s) + s * gramPoly(i, m, k - 1, s - 1)) -\n                (((k - 1) * (2 * m + k)) / (k * (2 * m - k + 1))) *\n                    gramPoly(i, m, k - 2, s);\n    }\n    else {\n        if (k === 0 && s === 0) {\n            Grampoly = 1;\n        }\n        else {\n            Grampoly = 0;\n        }\n    }\n    return Grampoly;\n}\nfunction genFact(a, b) {\n    let gf = 1;\n    if (a >= b) {\n        for (let j = a - b + 1; j <= a; j++) {\n            gf *= j;\n        }\n    }\n    return gf;\n}\nfunction weight(i, t, m, n, s) {\n    let sum = 0;\n    for (let k = 0; k <= n; k++) {\n        sum +=\n            (2 * k + 1) *\n                (genFact(2 * m, k) / genFact(2 * m + k + 1, k + 1)) *\n                gramPoly(i, m, k, 0) *\n                gramPoly(t, m, k, s);\n    }\n    return sum;\n}\n/**\n * @private\n * @param m  Number of points\n * @param n  Polynomial grade\n * @param s  Derivative\n */\nfunction fullWeights(m, n, s) {\n    let weights = new Array(m);\n    let np = Math.floor(m / 2);\n    for (let t = -np; t <= np; t++) {\n        weights[t + np] = new Float64Array(m);\n        for (let j = -np; j <= np; j++) {\n            weights[t + np][j + np] = weight(j, t, np, n, s);\n        }\n    }\n    return weights;\n}\n//# sourceMappingURL=index.js.map","import { v4 as generateID } from '@lukeed/uuid';\nimport { sgg } from 'ml-savitzky-golay-generalized';\nimport { xIsEquallySpaced, xIsMonotonic, xMinValue, xMaxValue, xNoiseStandardDeviation, } from 'ml-spectra-processing';\nimport { optimizeTop } from './utils/optimizeTop';\n/**\n * Global spectra deconvolution\n * @param  data - Object data with x and y arrays. Values in x has to be growing\n * @param {number} [options.broadRatio = 0.00] - If `broadRatio` is higher than 0, then all the peaks which second derivative\n * smaller than `broadRatio * maxAbsSecondDerivative` will be marked with the soft mask equal to true.\n\n */\nexport function gsd(data, options = {}) {\n    let { sgOptions = {\n        windowSize: 9,\n        polynomial: 3,\n    }, noiseLevel, smoothY = false, maxCriteria = true, minMaxRatio = 0.00025, realTopDetection = false, } = options;\n    let { x, y } = data;\n    if (xIsMonotonic(x) !== 1) {\n        throw new Error('GSD only accepts monotone increasing x values');\n    }\n    //rescale;\n    y = y.slice();\n    // If the max difference between delta x is less than 5%, then,\n    // we can assume it to be equally spaced variable\n    let equallySpaced = xIsEquallySpaced(x);\n    if (noiseLevel === undefined) {\n        if (equallySpaced) {\n            const noiseInfo = xNoiseStandardDeviation(y);\n            if (maxCriteria) {\n                noiseLevel = noiseInfo.median + 1.5 * noiseInfo.sd;\n            }\n            else {\n                noiseLevel = -noiseInfo.median + 1.5 * noiseInfo.sd;\n            }\n        }\n        else {\n            noiseLevel = 0;\n        }\n    }\n    else if (!maxCriteria) {\n        noiseLevel *= -1;\n    }\n    if (!maxCriteria) {\n        for (let i = 0; i < y.length; i++) {\n            y[i] *= -1;\n        }\n    }\n    if (noiseLevel !== undefined) {\n        for (let i = 0; i < y.length; i++) {\n            if (y[i] < noiseLevel) {\n                y[i] = noiseLevel;\n            }\n        }\n    }\n    let yData = y;\n    let dY, ddY;\n    const { windowSize, polynomial } = sgOptions;\n    if (equallySpaced) {\n        if (smoothY) {\n            yData = sgg(y, x[1] - x[0], {\n                windowSize,\n                polynomial,\n                derivative: 0,\n            });\n        }\n        dY = sgg(y, x[1] - x[0], {\n            windowSize,\n            polynomial,\n            derivative: 1,\n        });\n        ddY = sgg(y, x[1] - x[0], {\n            windowSize,\n            polynomial,\n            derivative: 2,\n        });\n    }\n    else {\n        if (smoothY) {\n            yData = sgg(y, x, {\n                windowSize,\n                polynomial,\n                derivative: 0,\n            });\n        }\n        dY = sgg(y, x, {\n            windowSize,\n            polynomial,\n            derivative: 1,\n        });\n        ddY = sgg(y, x, {\n            windowSize,\n            polynomial,\n            derivative: 2,\n        });\n    }\n    const minY = xMinValue(yData);\n    const maxY = xMaxValue(yData);\n    if (minY > maxY || minY === maxY)\n        return [];\n    const yThreshold = minY + (maxY - minY) * minMaxRatio;\n    const dX = x[1] - x[0];\n    let lastMax = null;\n    let lastMin = null;\n    let minddY = [];\n    let intervalL = [];\n    let intervalR = [];\n    // By the intermediate value theorem We cannot find 2 consecutive maximum or minimum\n    for (let i = 1; i < yData.length - 1; ++i) {\n        if ((dY[i] < dY[i - 1] && dY[i] <= dY[i + 1]) ||\n            (dY[i] <= dY[i - 1] && dY[i] < dY[i + 1])) {\n            lastMin = {\n                x: x[i],\n                index: i,\n            };\n            if (dX > 0 && lastMax !== null) {\n                intervalL.push(lastMax);\n                intervalR.push(lastMin);\n            }\n        }\n        // Maximum in first derivative\n        if ((dY[i] >= dY[i - 1] && dY[i] > dY[i + 1]) ||\n            (dY[i] > dY[i - 1] && dY[i] >= dY[i + 1])) {\n            lastMax = {\n                x: x[i],\n                index: i,\n            };\n            if (dX < 0 && lastMin !== null) {\n                intervalL.push(lastMax);\n                intervalR.push(lastMin);\n            }\n        }\n        // Minimum in second derivative\n        if (ddY[i] < ddY[i - 1] && ddY[i] < ddY[i + 1]) {\n            minddY.push(i);\n        }\n    }\n    let lastK = -1;\n    const peaks = [];\n    for (const minddYIndex of minddY) {\n        let deltaX = x[minddYIndex];\n        let possible = -1;\n        let k = lastK + 1;\n        let minDistance = Number.POSITIVE_INFINITY;\n        let currentDistance = 0;\n        while (possible === -1 && k < intervalL.length) {\n            currentDistance = Math.abs(deltaX - (intervalL[k].x + intervalR[k].x) / 2);\n            if (currentDistance < (intervalR[k].x - intervalL[k].x) / 2) {\n                possible = k;\n                lastK = k;\n            }\n            ++k;\n            // Not getting closer?\n            if (currentDistance >= minDistance) {\n                break;\n            }\n            minDistance = currentDistance;\n        }\n        if (possible !== -1) {\n            if (yData[minddYIndex] > yThreshold) {\n                let width = Math.abs(intervalR[possible].x - intervalL[possible].x);\n                peaks.push({\n                    id: generateID(),\n                    x: deltaX,\n                    y: yData[minddYIndex],\n                    width,\n                    index: minddYIndex,\n                    ddY: ddY[minddYIndex],\n                    inflectionPoints: {\n                        from: intervalL[possible],\n                        to: intervalR[possible],\n                    },\n                });\n            }\n        }\n    }\n    if (realTopDetection) {\n        optimizeTop({ x, y: yData }, peaks);\n    }\n    peaks.forEach((peak) => {\n        if (!maxCriteria) {\n            peak.y *= -1;\n            peak.ddY = peak.ddY * -1;\n        }\n    });\n    peaks.sort((a, b) => {\n        return a.x - b.x;\n    });\n    return peaks;\n}\n//# sourceMappingURL=gsd.js.map","/**\n * Check if the values are separated always by the same difference\n *\n * @param array - Monotone growing array of number\n */\nexport function xIsEquallySpaced(array, options = {}) {\n    if (array.length < 3)\n        return true;\n    const { tolerance = 0.05 } = options;\n    let maxDx = 0;\n    let minDx = Number.MAX_SAFE_INTEGER;\n    for (let i = 0; i < array.length - 1; ++i) {\n        let absoluteDifference = array[i + 1] - array[i];\n        if (absoluteDifference < minDx) {\n            minDx = absoluteDifference;\n        }\n        if (absoluteDifference > maxDx) {\n            maxDx = absoluteDifference;\n        }\n    }\n    return (maxDx - minDx) / maxDx < tolerance;\n}\n//# sourceMappingURL=xIsEquallySpaced.js.map","/**\n * Correction of the x and y coordinates using a quadratic optimizations with the peak and its 3 closest neighbors to determine the true x,y values of the peak.\n * This process is done in place and is very fast.\n * @param data\n * @param peaks\n */\nexport function optimizeTop(data, peaks) {\n    const { x, y } = data;\n    for (const peak of peaks) {\n        let currentIndex = peak.index;\n        // The detected peak could be moved 1 or 2 units to left or right.\n        if (y[currentIndex - 1] >= y[currentIndex - 2] &&\n            y[currentIndex - 1] >= y[currentIndex]) {\n            currentIndex--;\n        }\n        else if (y[currentIndex + 1] >= y[currentIndex] &&\n            y[currentIndex + 1] >= y[currentIndex + 2]) {\n            currentIndex++;\n        }\n        else if (y[currentIndex - 2] >= y[currentIndex - 3] &&\n            y[currentIndex - 2] >= y[currentIndex - 1]) {\n            currentIndex -= 2;\n        }\n        else if (y[currentIndex + 2] >= y[currentIndex + 1] &&\n            y[currentIndex + 2] >= y[currentIndex + 3]) {\n            currentIndex += 2;\n        }\n        // interpolation to a sin() function\n        if (y[currentIndex - 1] > 0 &&\n            y[currentIndex + 1] > 0 &&\n            y[currentIndex] >= y[currentIndex - 1] &&\n            y[currentIndex] >= y[currentIndex + 1] &&\n            (y[currentIndex] !== y[currentIndex - 1] ||\n                y[currentIndex] !== y[currentIndex + 1])) {\n            let alpha = 20 * Math.log10(y[currentIndex - 1]);\n            let beta = 20 * Math.log10(y[currentIndex]);\n            let gamma = 20 * Math.log10(y[currentIndex + 1]);\n            let p = (0.5 * (alpha - gamma)) / (alpha - 2 * beta + gamma);\n            peak.x = x[currentIndex] + (x[currentIndex] - x[currentIndex - 1]) * p;\n            peak.y =\n                y[currentIndex] -\n                    0.25 * (y[currentIndex - 1] - y[currentIndex + 1]) * p;\n        }\n    }\n}\n//# sourceMappingURL=optimizeTop.js.map","export const GAUSSIAN_EXP_FACTOR = -4 * Math.LN2;\nexport const ROOT_PI_OVER_LN2 = Math.sqrt(Math.PI / Math.LN2);\nexport const ROOT_THREE = Math.sqrt(3);\nexport const ROOT_2LN2 = Math.sqrt(2 * Math.LN2);\nexport const ROOT_2LN2_MINUS_ONE = Math.sqrt(2 * Math.LN2) - 1;\n//# sourceMappingURL=constants.js.map","import { ROOT_2LN2, GAUSSIAN_EXP_FACTOR, ROOT_PI_OVER_LN2, } from '../../../util/constants';\nimport erfinv from '../../../util/erfinv';\nexport class Gaussian {\n    constructor(options = {}) {\n        const { fwhm = 500, sd } = options;\n        this.fwhm = sd ? gaussianWidthToFWHM(2 * sd) : fwhm;\n    }\n    fwhmToWidth(fwhm = this.fwhm) {\n        return gaussianFwhmToWidth(fwhm);\n    }\n    widthToFWHM(width) {\n        return gaussianWidthToFWHM(width);\n    }\n    fct(x) {\n        return gaussianFct(x, this.fwhm);\n    }\n    getArea(height = calculateGaussianHeight({ fwhm: this.fwhm })) {\n        return getGaussianArea({ fwhm: this.fwhm, height });\n    }\n    getFactor(area) {\n        return getGaussianFactor(area);\n    }\n    getData(options = {}) {\n        return getGaussianData(this, options);\n    }\n    calculateHeight(area = 1) {\n        return calculateGaussianHeight({ fwhm: this.fwhm, area });\n    }\n    getParameters() {\n        return ['fwhm'];\n    }\n}\nexport function calculateGaussianHeight(options) {\n    let { fwhm = 500, area = 1, sd } = options;\n    if (sd)\n        fwhm = gaussianWidthToFWHM(2 * sd);\n    return (2 * area) / ROOT_PI_OVER_LN2 / fwhm;\n}\n/**\n * Calculate the height of the gaussian function of a specific width (fwhm) at a speicifc\n * x position (the gaussian is centered on x=0)\n * @param x\n * @param fwhm\n * @returns y\n */\nexport function gaussianFct(x, fwhm) {\n    return Math.exp(GAUSSIAN_EXP_FACTOR * Math.pow(x / fwhm, 2));\n}\nexport function gaussianWidthToFWHM(width) {\n    return width * ROOT_2LN2;\n}\nexport function gaussianFwhmToWidth(fwhm) {\n    return fwhm / ROOT_2LN2;\n}\nexport function getGaussianArea(options) {\n    let { fwhm = 500, sd, height = 1 } = options;\n    if (sd)\n        fwhm = gaussianWidthToFWHM(2 * sd);\n    return (height * ROOT_PI_OVER_LN2 * fwhm) / 2;\n}\nexport function getGaussianFactor(area = 0.9999) {\n    return Math.sqrt(2) * erfinv(area);\n}\nexport function getGaussianData(shape = {}, options = {}) {\n    let { fwhm = 500, sd } = shape;\n    if (sd)\n        fwhm = gaussianWidthToFWHM(2 * sd);\n    let { length, factor = getGaussianFactor(), height = calculateGaussianHeight({ fwhm }), } = options;\n    if (!length) {\n        length = Math.min(Math.ceil(fwhm * factor), Math.pow(2, 25) - 1);\n        if (length % 2 === 0)\n            length++;\n    }\n    const center = (length - 1) / 2;\n    const data = new Float64Array(length);\n    for (let i = 0; i <= center; i++) {\n        data[i] = gaussianFct(i - center, fwhm) * height;\n        data[length - 1 - i] = data[i];\n    }\n    return data;\n}\n//# sourceMappingURL=Gaussian.js.map","// https://en.wikipedia.org/wiki/Error_function#Inverse_functions\n// This code yields to a good approximation\n// If needed a better implementation using polynomial can be found on https://en.wikipedia.org/wiki/Error_function#Inverse_functions\nexport default function erfinv(x) {\n    let a = 0.147;\n    if (x === 0)\n        return 0;\n    let ln1MinusXSqrd = Math.log(1 - x * x);\n    let lnEtcBy2Plus2 = ln1MinusXSqrd / 2 + 2 / (Math.PI * a);\n    let firstSqrt = Math.sqrt(lnEtcBy2Plus2 ** 2 - ln1MinusXSqrd / a);\n    let secondSqrt = Math.sqrt(firstSqrt - lnEtcBy2Plus2);\n    return secondSqrt * (x > 0 ? 1 : -1);\n}\n//# sourceMappingURL=erfinv.js.map","import { ROOT_THREE } from '../../../util/constants';\nexport class Lorentzian {\n    constructor(options = {}) {\n        const { fwhm = 500 } = options;\n        this.fwhm = fwhm;\n    }\n    fwhmToWidth(fwhm = this.fwhm) {\n        return lorentzianFwhmToWidth(fwhm);\n    }\n    widthToFWHM(width) {\n        return lorentzianWidthToFWHM(width);\n    }\n    fct(x) {\n        return lorentzianFct(x, this.fwhm);\n    }\n    getArea(height = 1) {\n        return getLorentzianArea({ fwhm: this.fwhm, height });\n    }\n    getFactor(area) {\n        return getLorentzianFactor(area);\n    }\n    getData(options = {}) {\n        return getLorentzianData(this, options);\n    }\n    calculateHeight(area = 1) {\n        return calculateLorentzianHeight({ fwhm: this.fwhm, area });\n    }\n    getParameters() {\n        return ['fwhm'];\n    }\n}\nexport const calculateLorentzianHeight = ({ fwhm = 1, area = 1 }) => {\n    return (2 * area) / Math.PI / fwhm;\n};\nexport const getLorentzianArea = (options) => {\n    const { fwhm = 500, height = 1 } = options;\n    return (height * Math.PI * fwhm) / 2;\n};\nexport const lorentzianFct = (x, fwhm) => {\n    return fwhm ** 2 / (4 * x ** 2 + fwhm ** 2);\n};\nexport const lorentzianWidthToFWHM = (width) => {\n    return width * ROOT_THREE;\n};\nexport const lorentzianFwhmToWidth = (fwhm) => {\n    return fwhm / ROOT_THREE;\n};\nexport const getLorentzianFactor = (area = 0.9999) => {\n    if (area >= 1) {\n        throw new Error('area should be (0 - 1)');\n    }\n    const halfResidual = (1 - area) * 0.5;\n    const quantileFunction = (p) => Math.tan(Math.PI * (p - 0.5));\n    return ((quantileFunction(1 - halfResidual) - quantileFunction(halfResidual)) / 2);\n};\nexport const getLorentzianData = (shape = {}, options = {}) => {\n    let { fwhm = 500 } = shape;\n    let { length, factor = getLorentzianFactor(), height = calculateLorentzianHeight({ fwhm, area: 1 }), } = options;\n    if (!length) {\n        length = Math.min(Math.ceil(fwhm * factor), Math.pow(2, 25) - 1);\n        if (length % 2 === 0)\n            length++;\n    }\n    const center = (length - 1) / 2;\n    const data = new Float64Array(length);\n    for (let i = 0; i <= center; i++) {\n        data[i] = lorentzianFct(i - center, fwhm) * height;\n        data[length - 1 - i] = data[i];\n    }\n    return data;\n};\n//# sourceMappingURL=Lorentzian.js.map","import { GAUSSIAN_EXP_FACTOR, ROOT_2LN2_MINUS_ONE, ROOT_PI_OVER_LN2, } from '../../../util/constants';\nimport { gaussianFct, getGaussianFactor } from '../gaussian/Gaussian';\nimport { lorentzianFct, getLorentzianFactor } from '../lorentzian/Lorentzian';\nexport class PseudoVoigt {\n    constructor(options = {}) {\n        const { fwhm = 500, mu = 0.5 } = options;\n        this.mu = mu;\n        this.fwhm = fwhm;\n    }\n    fwhmToWidth(fwhm = this.fwhm, mu = this.mu) {\n        return pseudoVoigtFwhmToWidth(fwhm, mu);\n    }\n    widthToFWHM(width, mu = this.mu) {\n        return pseudoVoigtWidthToFWHM(width, mu);\n    }\n    fct(x) {\n        return pseudoVoigtFct(x, this.fwhm, this.mu);\n    }\n    getArea(height = 1) {\n        return getPseudoVoigtArea({ fwhm: this.fwhm, height, mu: this.mu });\n    }\n    getFactor(area) {\n        return getPseudoVoigtFactor(area);\n    }\n    getData(options = {}) {\n        const { length, factor, height = calculatePseudoVoigtHeight({\n            fwhm: this.fwhm,\n            mu: this.mu,\n            area: 1,\n        }), } = options;\n        return getPseudoVoigtData(this, { factor, length, height });\n    }\n    calculateHeight(area = 1) {\n        return calculatePseudoVoigtHeight({ fwhm: this.fwhm, mu: this.mu, area });\n    }\n    getParameters() {\n        return ['fwhm', 'mu'];\n    }\n}\nexport const calculatePseudoVoigtHeight = (options = {}) => {\n    let { fwhm = 1, mu = 0.5, area = 1 } = options;\n    return (2 * area) / (fwhm * (mu * ROOT_PI_OVER_LN2 + (1 - mu) * Math.PI));\n};\nexport const pseudoVoigtFct = (x, fwhm, mu) => {\n    return (1 - mu) * lorentzianFct(x, fwhm) + mu * gaussianFct(x, fwhm);\n};\nexport const pseudoVoigtWidthToFWHM = (width, mu = 0.5) => {\n    return width * (mu * ROOT_2LN2_MINUS_ONE + 1);\n};\nexport const pseudoVoigtFwhmToWidth = (fwhm, mu = 0.5) => {\n    return fwhm / (mu * ROOT_2LN2_MINUS_ONE + 1);\n};\nexport const getPseudoVoigtArea = (options) => {\n    const { fwhm = 500, height = 1, mu = 0.5 } = options;\n    return (fwhm * height * (mu * ROOT_PI_OVER_LN2 + (1 - mu) * Math.PI)) / 2;\n};\nexport const getPseudoVoigtFactor = (area = 0.9999, mu = 0.5) => {\n    return mu < 1 ? getLorentzianFactor(area) : getGaussianFactor(area);\n};\nexport const getPseudoVoigtData = (shape = {}, options = {}) => {\n    let { fwhm = 500, mu = 0.5 } = shape;\n    let { length, factor = getPseudoVoigtFactor(0.999, mu), height = calculatePseudoVoigtHeight({ fwhm, mu, area: 1 }), } = options;\n    if (!height) {\n        height =\n            1 /\n                ((mu / Math.sqrt(-GAUSSIAN_EXP_FACTOR / Math.PI)) * fwhm +\n                    ((1 - mu) * fwhm * Math.PI) / 2);\n    }\n    if (!length) {\n        length = Math.min(Math.ceil(fwhm * factor), Math.pow(2, 25) - 1);\n        if (length % 2 === 0)\n            length++;\n    }\n    const center = (length - 1) / 2;\n    const data = new Float64Array(length);\n    for (let i = 0; i <= center; i++) {\n        data[i] = pseudoVoigtFct(i - center, fwhm, mu) * height;\n        data[length - 1 - i] = data[i];\n    }\n    return data;\n};\n//# sourceMappingURL=PseudoVoigt.js.map","import { Gaussian } from './gaussian/Gaussian';\nimport { Lorentzian } from './lorentzian/Lorentzian';\nimport { PseudoVoigt } from './pseudoVoigt/PseudoVoigt';\n/**\n * Generate a instance of a specific kind of shape.\n */\nexport function getShape1D(shape) {\n    const { kind } = shape;\n    switch (kind) {\n        case 'gaussian':\n            return new Gaussian(shape);\n        case 'lorentzian':\n            return new Lorentzian(shape);\n        case 'pseudoVoigt':\n            return new PseudoVoigt(shape);\n        default: {\n            throw Error(`Unknown distribution ${kind}`);\n        }\n    }\n}\n//# sourceMappingURL=getShape1D.js.map","/**\n * @param {object}   [options={}]\n * @param {object}   [options.min=1]\n * @param {object}   [options.max=10]\n * @param {object}   [options.low=-1]\n * @param {object}   [options.high=1]\n * @param {object}   [options.precision=100]\n */\n\nconst NEUTRON_MASS = 1;\n\nexport function appendPeaksCharge(peaks, options = {}) {\n  let {\n    precision = 100,\n    low = -1,\n    high = 1,\n    min: minCharge = 1,\n    max: maxCharge = 10,\n  } = options;\n  let fromCharge =\n    minCharge * maxCharge > 0\n      ? Math.round(Math.min(Math.abs(minCharge), Math.abs(maxCharge)))\n      : 1;\n  let toCharge = Math.round(Math.max(Math.abs(minCharge), Math.abs(maxCharge)));\n\n  let fromIsotope = Math.ceil(low);\n  let toIsotope = Math.floor(high);\n  let numberIsotopes = toIsotope - fromIsotope + 1;\n  let isotopeIntensity = 1 / numberIsotopes;\n  let fromIndex = 0;\n  let localFromIndex = 0;\n  let localToIndex = 0;\n  for (let peakIndex = 0; peakIndex < peaks.length; peakIndex++) {\n    let peak = peaks[peakIndex];\n\n    let targetMass = peak.x;\n    localFromIndex = fromIndex;\n    let bestCharge = fromCharge;\n    let bestChargeMatch = 0;\n    for (let charge = fromCharge; charge < toCharge + 1; charge++) {\n      let theoreticalPositions = {\n        x: [],\n        y: new Array(numberIsotopes).fill(isotopeIntensity),\n      };\n\n      let massRange = precision * 1e-6 * targetMass;\n      for (\n        let isotopePosition = fromIsotope;\n        isotopePosition < toIsotope + 1;\n        isotopePosition++\n      ) {\n        theoreticalPositions.x.push(\n          targetMass + (isotopePosition * NEUTRON_MASS) / charge,\n        );\n      }\n      let fromMass = targetMass + low / Math.abs(charge) - massRange;\n      let toMass = targetMass + high / Math.abs(charge) + massRange;\n\n      if (charge === 1) {\n        // we may move the fromIndex\n        while (peaks[fromIndex].x < fromMass) {\n          fromIndex++;\n        }\n      }\n\n      /*\n       * Find the from / to index for the specific peak and specific charge\n       */\n      while (peaks[localFromIndex].x < fromMass) {\n        localFromIndex++;\n      }\n      localToIndex = localFromIndex;\n      let localHeightSum = 0;\n      while (localToIndex < peaks.length && peaks[localToIndex].x < toMass) {\n        localHeightSum += peaks[localToIndex].y;\n        localToIndex++;\n      }\n      localToIndex--;\n\n      //  console.log({ localFromIndex, localToIndex });\n      /*\n        Calculate the overlap for a specific peak and specific charge\n      */\n      let currentTheoreticalPosition = 0;\n      let theoreticalMaxValue = 1 / numberIsotopes;\n      let totalMatch = 0;\n\n      for (let index = localFromIndex; index <= localToIndex; index++) {\n        let minMass =\n          theoreticalPositions.x[currentTheoreticalPosition] -\n          massRange / charge;\n        let maxMass =\n          theoreticalPositions.x[currentTheoreticalPosition] +\n          massRange / charge;\n\n        while (maxMass < peaks[index].x) {\n          currentTheoreticalPosition++;\n          theoreticalMaxValue = 1 / numberIsotopes;\n          minMass =\n            theoreticalPositions.x[currentTheoreticalPosition] -\n            massRange / charge;\n          maxMass =\n            theoreticalPositions.x[currentTheoreticalPosition] +\n            massRange / charge;\n        }\n\n        while (index < peaks.length && peaks[index].x < minMass) {\n          index++;\n        }\n\n        //    console.log({ index, minMass, maxMass, massRange, localHeightSum });\n        if (index < peaks.length && peaks[index].x <= maxMass) {\n          while (index < peaks.length && peaks[index].x <= maxMass) {\n            if (peaks[index].x >= minMass && peaks[index].x <= maxMass) {\n              let value = peaks[index].y / localHeightSum;\n              //      console.log({ theoreticalMaxValue, value });\n              value = Math.min(theoreticalMaxValue, value);\n\n              theoreticalMaxValue -= value;\n              totalMatch += value;\n            }\n            index++;\n          }\n          index--;\n        }\n\n        if (totalMatch > bestChargeMatch) {\n          bestCharge = charge;\n          bestChargeMatch = totalMatch;\n        }\n      }\n    }\n    peak.charge = bestCharge;\n  }\n  return peaks;\n}\n","import { gsd } from 'ml-gsd';\nimport { xyEnsureGrowingX } from 'ml-spectra-processing';\n\nimport { appendPeaksCharge } from './appendPeaksCharge';\n\n/**\n * Filter the array of peaks\n * @param {Spectrum} spectrum - array of all the peaks\n * @param {object} [options={}]\n * @param {object} [options.charge={}]\n * @param {number} [options.charge.min=1]\n * @param {number} [options.charge.max=10]\n * @param {number} [options.charge.low=-1]\n * @param {number} [options.charge.high=1]\n * @param {number} [options.charge.precision=30]\n * @returns {array} - copy of peaks with 'close' annotation\n */\n\nexport function peakPicking(spectrum, options = {}) {\n  const { charge: chargeOptions = {} } = options;\n  if (!spectrum.peaks || spectrum.peaks.length === 0) {\n    spectrum.peaks = [];\n    const keys = Object.keys(spectrum.data).filter(\n      (key) => key !== 'x' && key !== 'y',\n    );\n    if (spectrum.isContinuous()) {\n      // some experimental data are really problematic and we need to add this line\n      const data = xyEnsureGrowingX(spectrum.data);\n      const gsdPeaks = gsd(data, {\n        minMaxRatio: spectrum.options.threshold || 0.00025, // Threshold to determine if a given peak should be considered as a noise\n        realTopDetection: true,\n        smoothY: false,\n        sgOptions: { windowSize: 7, polynomial: 3 },\n      });\n      for (let gsdPeak of gsdPeaks) {\n        const peak = { x: gsdPeak.x, y: gsdPeak.y, width: gsdPeak.width };\n        for (let key of keys) {\n          peak[key] = spectrum.data[key][gsdPeak.index];\n        }\n        spectrum.peaks.push(peak);\n      }\n    } else {\n      spectrum.peaks = [];\n      let data = spectrum.data;\n      for (let i = 0; i < data.x.length; i++) {\n        const peak = {\n          x: data.x[i],\n          y: data.y[i],\n          width: 0,\n        };\n        for (let key of keys) {\n          peak[key] = spectrum.data[key][i];\n        }\n        spectrum.peaks.push(peak);\n      }\n    }\n    // required and linked to https://github.com/mljs/global-spectral-deconvolution/issues/17\n    spectrum.peaks = spectrum.peaks.filter(\n      (peak) => !isNaN(peak.x) && !isNaN(peak.y),\n    );\n    appendPeaksCharge(spectrum.peaks, chargeOptions);\n  }\n\n  return spectrum.peaks;\n}\n","import { xIsMonotonic } from '../x/xIsMonotonic';\nimport { xyCheck } from './xyCheck';\n/**\n * Filters x,y values to allow strictly growing values in x axis.\n *\n * @param data - Object that contains property x (an ordered increasing array) and y (an array).\n */\nexport function xyEnsureGrowingX(data) {\n    xyCheck(data);\n    if (xIsMonotonic(data.x) === 1)\n        return data;\n    const x = Array.from(data.x);\n    const y = Array.from(data.y);\n    let prevX = Number.NEGATIVE_INFINITY;\n    let currentIndex = 0;\n    for (let index = 0; index < x.length; index++) {\n        if (prevX < x[index]) {\n            if (currentIndex < index) {\n                x[currentIndex] = x[index];\n                y[currentIndex] = y[index];\n            }\n            currentIndex++;\n            prevX = x[index];\n        }\n    }\n    x.length = currentIndex;\n    y.length = currentIndex;\n    return { x, y };\n}\n//# sourceMappingURL=xyEnsureGrowingX.js.map","export default function maybeToPrecision(value, digits) {\n  if (value < 0) {\n    value = 0 - value;\n    if (typeof digits === 'number') {\n      return `- ${value.toPrecision(digits)}`;\n    } else {\n      return `- ${value.toString()}`;\n    }\n  } else {\n    if (typeof digits === 'number') {\n      return value.toPrecision(digits);\n    } else {\n      return value.toString();\n    }\n  }\n}\n","import { isAnyArray } from 'is-any-array';\n\nexport default function checkArraySize(x, y) {\n  if (!isAnyArray(x) || !isAnyArray(y)) {\n    throw new TypeError('x and y must be arrays');\n  }\n  if (x.length !== y.length) {\n    throw new RangeError('x and y arrays must have the same length');\n  }\n}\n","import { isAnyArray } from 'is-any-array';\n\nexport { default as maybeToPrecision } from './maybeToPrecision';\nexport { default as checkArrayLength } from './checkArrayLength';\n\nexport default class BaseRegression {\n  constructor() {\n    if (new.target === BaseRegression) {\n      throw new Error('BaseRegression must be subclassed');\n    }\n  }\n\n  predict(x) {\n    if (typeof x === 'number') {\n      return this._predict(x);\n    } else if (isAnyArray(x)) {\n      const y = [];\n      for (let i = 0; i < x.length; i++) {\n        y.push(this._predict(x[i]));\n      }\n      return y;\n    } else {\n      throw new TypeError('x must be a number or array');\n    }\n  }\n\n  _predict() {\n    throw new Error('_predict must be implemented');\n  }\n\n  train() {\n    // Do nothing for this package\n  }\n\n  toString() {\n    return '';\n  }\n\n  toLaTeX() {\n    return '';\n  }\n\n  /**\n   * Return the correlation coefficient of determination (r) and chi-square.\n   * @param {Array<number>} x\n   * @param {Array<number>} y\n   * @return {object}\n   */\n  score(x, y) {\n    if (!isAnyArray(x) || !isAnyArray(y) || x.length !== y.length) {\n      throw new Error('x and y must be arrays of the same length');\n    }\n\n    const n = x.length;\n    const y2 = new Array(n);\n    for (let i = 0; i < n; i++) {\n      y2[i] = this._predict(x[i]);\n    }\n\n    let xSum = 0;\n    let ySum = 0;\n    let chi2 = 0;\n    let rmsd = 0;\n    let xSquared = 0;\n    let ySquared = 0;\n    let xY = 0;\n    for (let i = 0; i < n; i++) {\n      xSum += y2[i];\n      ySum += y[i];\n      xSquared += y2[i] * y2[i];\n      ySquared += y[i] * y[i];\n      xY += y2[i] * y[i];\n      if (y[i] !== 0) {\n        chi2 += ((y[i] - y2[i]) * (y[i] - y2[i])) / y[i];\n      }\n      rmsd += (y[i] - y2[i]) * (y[i] - y2[i]);\n    }\n\n    const r =\n      (n * xY - xSum * ySum) /\n      Math.sqrt((n * xSquared - xSum * xSum) * (n * ySquared - ySum * ySum));\n\n    return {\n      r: r,\n      r2: r * r,\n      chi2: chi2,\n      rmsd: Math.sqrt(rmsd / n),\n    };\n  }\n}\n","import { isAnyArray } from 'is-any-array';\n/**\n * Check that x and y are arrays with the same length.\n * @param x - first array\n * @param y - second array\n * @throws if x or y are not the same length, or if they are not arrays\n */\nexport default function checkArrayLength(x, y) {\n    if (!isAnyArray(x) || !isAnyArray(y)) {\n        throw new TypeError('x and y must be arrays');\n    }\n    if (x.length !== y.length) {\n        throw new RangeError('x and y arrays must have the same length');\n    }\n}\n//# sourceMappingURL=checkArrayLength.js.map","/**\n * Cast `number` to string. Optionally `digits` specifies significant figures.\n * @param number\n * @param figures\n * @returns - A string representation of `number`.\n */\nexport default function maybeToPrecision(number, figures) {\n    if (number < 0) {\n        number = 0 - number;\n        if (typeof figures === 'number') {\n            return `- ${number.toPrecision(figures)}`;\n        }\n        else {\n            return `- ${number.toString()}`;\n        }\n    }\n    else if (typeof figures === 'number') {\n        return number.toPrecision(figures);\n    }\n    else {\n        return number.toString();\n    }\n}\n//# sourceMappingURL=maybeToPrecision.js.map","import { isAnyArray } from 'is-any-array';\nimport checkArrayLength from './checkArrayLength';\nexport { default as maybeToPrecision } from './maybeToPrecision';\nexport default class BaseRegression {\n    constructor() {\n        if (new.target === BaseRegression) {\n            throw new Error('BaseRegression must be subclassed');\n        }\n    }\n    predict(x) {\n        if (typeof x === 'number') {\n            return this._predict(x);\n        }\n        else if (isAnyArray(x)) {\n            const y = [];\n            for (const xVal of x) {\n                y.push(this._predict(xVal));\n            }\n            return y;\n        }\n        else {\n            throw new TypeError('x must be a number or array');\n        }\n    }\n    // eslint-disable-next-line @typescript-eslint/no-unused-vars\n    _predict(x) {\n        throw new Error('_predict must be implemented');\n    }\n    train() {\n        // Do nothing for this package\n    }\n    // eslint-disable-next-line @typescript-eslint/no-unused-vars\n    toString(precision) {\n        return '';\n    }\n    // eslint-disable-next-line @typescript-eslint/no-unused-vars\n    toLaTeX(precision) {\n        return '';\n    }\n    /**\n     * Return the correlation coefficient of determination (r) and chi-square.\n     * @param x - explanatory variable\n     * @param y - response variable\n     * @return - Object with further statistics.\n     */\n    score(x, y) {\n        checkArrayLength(x, y);\n        const n = x.length;\n        const y2 = new Array(n);\n        for (let i = 0; i < n; i++) {\n            y2[i] = this._predict(x[i]);\n        }\n        let xSum = 0;\n        let ySum = 0;\n        let chi2 = 0;\n        let rmsd = 0;\n        let xSquared = 0;\n        let ySquared = 0;\n        let xY = 0;\n        for (let i = 0; i < n; i++) {\n            xSum += y2[i];\n            ySum += y[i];\n            xSquared += y2[i] * y2[i];\n            ySquared += y[i] * y[i];\n            xY += y2[i] * y[i];\n            if (y[i] !== 0) {\n                chi2 += ((y[i] - y2[i]) * (y[i] - y2[i])) / y[i];\n            }\n            rmsd += (y[i] - y2[i]) * (y[i] - y2[i]);\n        }\n        const r = (n * xY - xSum * ySum) /\n            Math.sqrt((n * xSquared - xSum * xSum) * (n * ySquared - ySum * ySum));\n        return {\n            r,\n            r2: r * r,\n            chi2,\n            rmsd: Math.sqrt(rmsd / n),\n        };\n    }\n}\nexport { checkArrayLength };\n//# sourceMappingURL=index.js.map","import BaseRegression, { checkArrayLength, maybeToPrecision, } from 'ml-regression-base';\n/**\n * Class representing simple linear regression.\n * The regression uses OLS to calculate intercept and slope.\n */\nexport default class SimpleLinearRegression extends BaseRegression {\n    /**\n     * @param x - explanatory variable\n     * @param y - response variable\n     */\n    constructor(x, y) {\n        super();\n        // @ts-expect-error internal use of the constructor, from `this.load`\n        if (x === true) {\n            // @ts-expect-error internal use of the constructor, from `this.load`\n            const yObj = y;\n            this.slope = yObj.slope;\n            this.intercept = yObj.intercept;\n            this.coefficients = [yObj.intercept, yObj.slope];\n        }\n        else {\n            checkArrayLength(x, y);\n            const result = regress(x, y);\n            this.slope = result.slope;\n            this.intercept = result.intercept;\n            this.coefficients = [result.intercept, result.slope];\n        }\n    }\n    /**\n     * Get the parameters and model name in JSON format\n     * @returns\n     */\n    toJSON() {\n        return {\n            name: 'simpleLinearRegression',\n            slope: this.slope,\n            intercept: this.intercept,\n        };\n    }\n    _predict(x) {\n        return this.slope * x + this.intercept;\n    }\n    /**\n     * Finds x for the given y value.\n     * @param y - response variable value\n     * @returns - x value\n     */\n    computeX(y) {\n        return (y - this.intercept) / this.slope;\n    }\n    /**\n     * Strings the linear function in the form 'f(x) = ax + b'\n     * @param precision - number of significant figures.\n     * @returns\n     */\n    toString(precision) {\n        let result = 'f(x) = ';\n        if (this.slope !== 0) {\n            const xFactor = maybeToPrecision(this.slope, precision);\n            result += `${xFactor === '1' ? '' : `${xFactor} * `}x`;\n            if (this.intercept !== 0) {\n                const absIntercept = Math.abs(this.intercept);\n                const operator = absIntercept === this.intercept ? '+' : '-';\n                result += ` ${operator} ${maybeToPrecision(absIntercept, precision)}`;\n            }\n        }\n        else {\n            result += maybeToPrecision(this.intercept, precision);\n        }\n        return result;\n    }\n    /**\n     * Strings the linear function in the form 'f(x) = ax + b'\n     * @param precision - number of significant figures.\n     * @returns\n     */\n    toLaTeX(precision) {\n        return this.toString(precision);\n    }\n    /**\n     * Class instance from a JSON Object.\n     * @param json\n     * @returns\n     */\n    static load(json) {\n        if (json.name !== 'simpleLinearRegression') {\n            throw new TypeError('not a SLR model');\n        }\n        // @ts-expect-error internal use of the constructor\n        return new SimpleLinearRegression(true, json);\n    }\n}\n/**\n * Internal  function.\n * It determines the parameters (slope, intercept) of the line that best fit the `x,y` vector-data (simple linear regression).\n * @param x - explanatory variable\n * @param y - response variable\n * @returns - slope and intercept of the best fit line\n */\nfunction regress(x, y) {\n    const n = x.length;\n    let xSum = 0;\n    let ySum = 0;\n    let xSquared = 0;\n    let xY = 0;\n    for (let i = 0; i < n; i++) {\n        xSum += x[i];\n        ySum += y[i];\n        xSquared += x[i] * x[i];\n        xY += x[i] * y[i];\n    }\n    const numerator = n * xY - xSum * ySum;\n    const slope = numerator / (n * xSquared - xSum * xSum);\n    return {\n        slope,\n        intercept: (1 / n) * ySum - slope * (1 / n) * xSum,\n    };\n}\n//# sourceMappingURL=index.js.map","import BaseRegression, {\n  checkArrayLength,\n  maybeToPrecision\n} from 'ml-regression-base';\nimport SimpleLinearRegression from 'ml-regression-simple-linear';\n\nexport default class PowerRegression extends BaseRegression {\n  constructor(x, y) {\n    super();\n    if (x === true) {\n      // reloading model\n      this.A = y.A;\n      this.B = y.B;\n    } else {\n      checkArrayLength(x, y);\n      regress(this, x, y);\n    }\n  }\n\n  _predict(newInputs) {\n    return this.A * Math.pow(newInputs, this.B);\n  }\n\n  toJSON() {\n    return {\n      name: 'powerRegression',\n      A: this.A,\n      B: this.B\n    };\n  }\n\n  toString(precision) {\n    return `f(x) = ${maybeToPrecision(\n      this.A,\n      precision\n    )} * x^${maybeToPrecision(this.B, precision)}`;\n  }\n\n  toLaTeX(precision) {\n    let latex = '';\n    if (this.B >= 0) {\n      latex = `f(x) = ${maybeToPrecision(\n        this.A,\n        precision\n      )}x^{${maybeToPrecision(this.B, precision)}}`;\n    } else {\n      latex = `f(x) = \\\\frac{${maybeToPrecision(\n        this.A,\n        precision\n      )}}{x^{${maybeToPrecision(-this.B, precision)}}}`;\n    }\n    latex = latex.replace(/e([+-]?[0-9]+)/g, 'e^{$1}');\n    return latex;\n  }\n\n  static load(json) {\n    if (json.name !== 'powerRegression') {\n      throw new TypeError('not a power regression model');\n    }\n    return new PowerRegression(true, json);\n  }\n}\n\nfunction regress(pr, x, y) {\n  const n = x.length;\n  const xl = new Array(n);\n  const yl = new Array(n);\n  for (let i = 0; i < n; i++) {\n    xl[i] = Math.log(x[i]);\n    yl[i] = Math.log(y[i]);\n  }\n\n  const linear = new SimpleLinearRegression(xl, yl);\n  pr.A = Math.exp(linear.intercept);\n  pr.B = linear.slope;\n}\n","import { isAnyArray } from 'is-any-array';\nimport {\n  xMaxValue,\n  xMinMaxValues,\n  xNormed,\n  xSum,\n  xMinValue,\n} from 'ml-spectra-processing';\nimport { parseXY } from 'xy-parser';\n\nimport { getBestPeaks } from './getBestPeaks';\nimport { getFragmentPeaks } from './getFragmentPeaks';\nimport { getMassRemainder } from './getMassRemainder';\nimport { getPeakChargeBySimilarity } from './getPeakChargeBySimilarity';\nimport { getPeaks } from './getPeaks';\nimport { isContinuous } from './isContinuous';\nimport { peakPicking } from './peakPicking';\nimport { peaksWidth } from './peaksWidth';\n\n/**\n * Class dealing with mass spectra and peak picking\n */\nexport class Spectrum {\n  /**\n   *\n   * @param {import('cheminfo-types').DataXY} data\n   * @param {object} [options={}]\n   * @param {number} [options.threshold]\n   */\n  constructor(data = { x: [], y: [] }, options = {}) {\n    if (\n      typeof data !== 'object' ||\n      !isAnyArray(data.x) ||\n      !isAnyArray(data.y)\n    ) {\n      throw new TypeError('Spectrum data must be an object with x:[], y:[]');\n    }\n    this.data = { ...data };\n    this.options = options;\n    Object.defineProperty(this.data, 'xOriginal', {\n      enumerable: false,\n      writable: true,\n    });\n    if (this.data && this.data.x.length > 0) {\n      this.info = {\n        minX: xMinValue(this.data.x),\n        maxX: xMaxValue(this.data.x),\n        minY: xMinValue(this.data.y),\n        maxY: xMaxValue(this.data.y),\n      };\n    } else {\n      this.info = {\n        minX: NaN,\n        maxX: NaN,\n        minY: NaN,\n        maxY: NaN,\n      };\n    }\n\n    this.cache = {};\n    this.peaks = [];\n  }\n\n  minMaxX() {\n    return xMinMaxValues(this.data.x);\n  }\n\n  maxY() {\n    return xMaxValue(this.data.y);\n  }\n\n  sumY() {\n    if (!this.cache.sumY) {\n      this.cache.sumY = xSum(this.data.y);\n    }\n    return this.cache.sumY;\n  }\n\n  scaleY(intensity = 1) {\n    this.data.y = Array.from(\n      xNormed(this.data.y, { value: intensity, algorithm: 'max' }),\n    );\n    return this;\n  }\n\n  rescaleX(callback) {\n    this.ensureOriginalX();\n\n    for (let i = 0; i < this.data.x.length; i++) {\n      this.data.x[i] = callback(this.data.xOriginal[i]);\n    }\n\n    return this;\n  }\n\n  ensureOriginalX() {\n    if (!this.data.xOriginal) {\n      this.data.xOriginal = this.data.x.slice(0);\n    }\n  }\n\n  normedY(total = 1) {\n    this.data.y = xNormed(this.data.y, { value: total });\n    return this;\n  }\n\n  peakPicking() {\n    peakPicking(this);\n    return this.peaks;\n  }\n\n  peaksWidth() {\n    peakPicking(this);\n    return peaksWidth(this.peaks);\n  }\n\n  getBestPeaks(options) {\n    peakPicking(this);\n    return getBestPeaks(this.peaks, options);\n  }\n\n  getPeakChargeBySimilarity(targetMass, options) {\n    return getPeakChargeBySimilarity(this, targetMass, options);\n  }\n\n  getPeaks(options) {\n    peakPicking(this);\n    return getPeaks(this.peaks, options);\n  }\n\n  getPeaksAsDataXY(options) {\n    peakPicking(this);\n    const peaks = getPeaks(this.peaks, options);\n    return {\n      x: peaks.map((peak) => peak.x),\n      y: peaks.map((peak) => peak.y),\n    };\n  }\n\n  /**\n   * Returns also peaks possible for a specific molecular formula\n   * @example\n   *  const spectrum = new Spectrum({x:[], y:[]})\n   *  await spectrum.getFragmentPeaks();\n   * @param {string} mf\n   * @param {object} options\n   * @returns\n   */\n  getFragmentPeaksFct(mf, options) {\n    peakPicking(this);\n    return getFragmentPeaks(this.peaks, mf, options);\n  }\n\n  isContinuous() {\n    return isContinuous(this);\n  }\n\n  /**\n   * Remove an integer number of time the specifiedd monoisotopic mass\n   * Mass remainder analysis (MARA): https://doi.org/10.1021/acs.analchem.7b04730\n   */\n  getMassRemainderFct(mass, options = {}) {\n    return getMassRemainder(this.data, mass, options);\n  }\n}\n\nexport function fromPeaks(peaks) {\n  if (peaks.length === 0) return new Spectrum();\n  const data = {};\n  for (let key of Object.keys(peaks[0])) {\n    data[key] = peaks.map((peak) => peak[key]);\n  }\n  return new Spectrum(data);\n}\n\nexport function fromText(text, options) {\n  const data = parseXY(text);\n  return new Spectrum(data, options);\n}\n","import Regression from 'ml-regression-power';\nimport { xMaxValue, xMinValue } from 'ml-spectra-processing';\n\nexport function peaksWidth(peaks) {\n  let xs = peaks.map((peak) => peak.x);\n  let widths = peaks.map((peak) => peak.width);\n\n  if (xs.length < 2) {\n    throw new Error(\n      `peaksWidth: not enough peaks (less than 2) for automatic width calculation: ${xs.length}`,\n    );\n  }\n  let regression = new Regression(xs, widths, {\n    computeQuality: true,\n    computeCoefficient: true,\n  });\n\n  if (isNaN(regression.A) || isNaN(regression.B)) {\n    throw new Error('peaksWidth: can not calculate regression');\n  }\n\n  let from = xMinValue(xs);\n  let to = xMaxValue(xs);\n\n  let regressionChart = { x: [], y: [] };\n  for (let x = from; x <= to; x += (to - from) / 1000) {\n    regressionChart.x.push(x);\n    regressionChart.y.push(regression.predict(x));\n  }\n  return {\n    widths: {\n      x: xs,\n      y: widths,\n    },\n    fit: regressionChart,\n    score: regression.score(xs, widths),\n\n    predictFct: regression.predict.bind(regression),\n    tex: regression.toLaTeX(3),\n    A: regression.A,\n    B: regression.B,\n    predictFctString: `${regression.A} * mass ** ${regression.B}`,\n  };\n}\n","import { Comparator } from 'peaks-similarity';\n\n/**\n * @param {object}   [options={}]\n * @param {object}   [options.minCharge=1]\n * @param {object}   [options.maxCharge=10]\n * @param {object}   [options.similarity={}]\n * @param {object}   [options.similarity.widthBottom]\n * @param {object}   [options.similarity.widthTop]\n * @param {object}   [options.similarity.widthFunction] - function called with mass that should return an object width containing top and bottom\n * @param {object}   [options.similarity.zone={}]\n * @param {object}   [options.similarity.zone.low=-0.5] - window shift based on observed monoisotopic mass\n * @param {object}   [options.similarity.zone.high=2.5] - to value for the comparison window\n * @param {object}   [options.similarity.common]\n */\n\nconst NEUTRON_MASS = 1;\n\nexport function getPeakChargeBySimilarity(spectrum, targetMass, options = {}) {\n  let { similarity = {}, minCharge = 1, maxCharge = 10 } = options;\n  let { zone = {}, widthFunction } = similarity;\n  let { low = -0.5, high = 2.5 } = zone;\n\n  if (!spectrum || !spectrum.data.x.length > 0) {\n    throw Error(\n      'You need to add an experimental spectrum first using setMassSpectrum',\n    );\n  }\n\n  let width = {\n    bottom: similarity.widthBottom,\n    top: similarity.widthTop,\n  };\n\n  similarity = JSON.parse(JSON.stringify(similarity));\n  similarity.common = 'second';\n\n  let experimentalData = spectrum.data;\n  let similarityProcessor = new Comparator(similarity);\n  similarityProcessor.setPeaks1([experimentalData.x, experimentalData.y]);\n\n  if (widthFunction && typeof widthFunction === 'string') {\n    // eslint-disable-next-line no-new-func\n    widthFunction = new Function('mass', widthFunction);\n    let checkTopBottom = widthFunction(123);\n    if (!checkTopBottom.bottom || !checkTopBottom.top) {\n      throw Error(\n        'widthFunction should return an object with bottom and top properties',\n      );\n    }\n  }\n\n  let fromCharge =\n    minCharge * maxCharge > 0\n      ? Math.round(Math.min(Math.abs(minCharge), Math.abs(maxCharge)))\n      : 1;\n  let toCharge = Math.round(Math.max(Math.abs(minCharge), Math.abs(maxCharge)));\n\n  let fromIsotope = Math.ceil(low);\n  let toIsotope = Math.floor(high);\n  let isotopeHeight = 1 / (toIsotope - fromIsotope + 1);\n\n  let results = [];\n\n  for (let charge = fromCharge; charge < toCharge + 1; charge++) {\n    let isotopePositions = { x: [], y: [] };\n    for (\n      let isotopePosition = fromIsotope;\n      isotopePosition < toIsotope + 1;\n      isotopePosition++\n    ) {\n      isotopePositions.x.push(\n        targetMass + (isotopePosition * NEUTRON_MASS) / charge,\n      );\n      isotopePositions.y.push(isotopeHeight);\n    }\n    let from = targetMass + low / Math.abs(charge);\n    let to = targetMass + high / Math.abs(charge);\n    similarityProcessor.setFromTo(from, to);\n    if (widthFunction) {\n      width = widthFunction(targetMass);\n      similarityProcessor.setTrapezoid(width.bottom, width.top);\n    }\n\n    similarityProcessor.setPeaks2([isotopePositions.x, isotopePositions.y]);\n    let result = similarityProcessor.getSimilarity();\n\n    results.push({ charge, similarity: result.similarity });\n  }\n\n  return results.sort((a, b) => b.similarity - a.similarity)[0].charge;\n}\n","import { EMDB } from 'emdb';\nimport { MF } from 'mf-parser';\n\nimport { getPeaks } from './getPeaks.js';\n\n/**\n * Filter the array of peaks\n * @param {array} peaks - array of all the peaks\n * @param {string} mf - Molecular formula of the parent molecule\n * @param {object} [options={}]\n * @param {number} [options.from] - min X value of the window to consider\n * @param {number} [options.to] - max X value of the window to consider\n * @param {number} [options.threshold=0.01] - minimal intensity compare to base peak\n * @param {number} [options.limit=undefined] - maximal number of peaks (based on intensity)\n * @param {string} [options.ionizations]\n * @param {number} [options.precision]\n * @returns {array} - copy of peaks with 'close' annotation\n */\n\nexport async function getFragmentPeaks(peaks, mf, options = {}) {\n  const emdb = new EMDB();\n\n  const { ionizations = '', precision } = options;\n\n  const mfInfo = new MF(mf).getInfo();\n  const ranges = Object.keys(mfInfo.atoms)\n    .map((key) => `${key}0-${mfInfo.atoms[key]}`)\n    .join(' ');\n  peaks = getPeaks(peaks, options);\n  for (let peak of peaks) {\n    peak.mfs = (\n      await emdb.fromMonoisotopicMass(peak.x, {\n        precision,\n        ranges,\n        ionizations,\n      })\n    ).mfs;\n  }\n  peaks = peaks.filter((peak) => peak.mfs.length > 0);\n  return peaks;\n}\n","import { xMaxValue } from 'ml-spectra-processing';\n/**\n * When a spectrum is continous ?\n * - has more than 100 points\n * - deltaX change can not be more than a factor 2\n * - deltaX may not be larger than 0.1\n * - if y is zero it does not count\n * @param {object} spectrum\n * @param {object} [options={}]\n * @param {number} [options.minLength=100]\n * @param {number} [options.relativeHeightThreshold=0.001] // Under this value the\n * @param {number} [options.maxDeltaRatio=3]\n */\n\nexport function isContinuous(spectrum, options = {}) {\n  const {\n    minLength = 100,\n    maxDeltaRatio = 3,\n    relativeHeightThreshold = 0.001,\n  } = options;\n  const minHeight = xMaxValue(spectrum.data.y) * relativeHeightThreshold;\n  const minRadio = 1 / maxDeltaRatio;\n  const maxRatio = 1 * maxDeltaRatio;\n  if (spectrum.continuous === undefined) {\n    let xs = spectrum.data.x;\n    let ys = spectrum.data.y;\n    if (xs.length < minLength) {\n      spectrum.continuous = false;\n    } else {\n      let previousDelta = xs[1] - xs[0];\n      spectrum.continuous = true;\n      let success = 0;\n      let failed = 0;\n      for (let i = 0; i < xs.length - 1; i++) {\n        if (ys[i] < minHeight || ys[i + 1] < minHeight) {\n          previousDelta = 0;\n          continue;\n        }\n        let delta = xs[i + 1] - xs[i];\n        if (previousDelta) {\n          let ratio = delta / previousDelta;\n          if (\n            (Math.abs(delta) > 0.1 || ratio < minRadio || ratio > maxRatio) &&\n            ys[i] !== 0 &&\n            ys[i + 1] !== 0\n          ) {\n            failed++;\n          } else {\n            success++;\n          }\n        }\n        previousDelta = delta;\n      }\n      if (success / failed < 10) {\n        spectrum.continuous = false;\n      }\n    }\n  }\n  return spectrum.continuous;\n}\n","import { xySortX, xyJoinX } from 'ml-spectra-processing';\n\n/**\n * Remove an integer number of time the specifiedd monoisotopic mass\n * Mass remainder analysis (MARA): https://doi.org/10.1021/acs.analchem.7b04730\n * @param {object} spectrum\n * @param {number} mass\n * @param {object} [options={}\n * @param {number} [options.delta=0.001]\n */\nexport function getMassRemainder(spectrum, mass, options = {}) {\n  const { delta = 0.001 } = options;\n  const x = spectrum.x.slice();\n  const y = spectrum.y;\n  for (let i = 0; i < x.length; i++) {\n    const factor = Math.floor(x[i] / mass);\n    x[i] = x[i] - factor * mass;\n  }\n  // we sort and join\n  return xyJoinX(xySortX({ x, y }), { delta });\n}\n","import { similarity } from 'ml-distance';\nimport {\n  xIsMonotonic,\n  xyArrayAlign,\n  xyFilterMinYValue,\n  xyFilterTopYValues,\n  xySortX,\n} from 'ml-spectra-processing';\n\nexport class MSComparator {\n  /**\n   * Create a class that will be able to get the similarity between 2 spectra\n   * The similarity is based on 'cosine' similarity. The goal is 2 prepare 2 vectors\n   * on which the similarity is calculated.\n   * The vectors are created by taking the mass and the intensity of the peaks.\n   * @param {object} [options={}]\n   * @param {number} [options.nbPeaks] - Before comparing spectra how many peaks should be kept\n   * @param {number} [options.minNbCommonPeaks] - Minimum number of peaks in common to consider any similarity\n   * @param {number} [options.minIntensity] - What is the minimal relative intensity to keep a peak\n   * @param {number} [options.massPower=3] - High power will give more weight to the mass. If you would prefer to observe fragments you should use a number less than 1\n   * @param {number} [options.intensityPower=0.6] - How important is the intensity. By default we don't give to much importance to it\n   * @param {number[]} [options.selectedMasses] - List of allowed masses.\n   * @param {number|Function} [options.delta=0.1] - Tolerance in Da (u) to consider 2 peaks as aligned. If a function is provided it will be called with the mass of the peak\n   */\n  constructor(options = {}) {\n    this.options = {\n      massPower: 3,\n      intensityPower: 0.6,\n      delta: 0.1,\n      ...options,\n    };\n    this.cache = new WeakMap();\n  }\n\n  /**\n   *\n   * @param {import('cheminfo-types').DataXY} dataXY1\n   * @param {import('cheminfo-types').DataXY} dataXY2\n   */\n  getSimilarity(dataXY1, dataXY2) {\n    const data1 = normalizeAndCacheData(this.cache, dataXY1, this.options);\n    const data2 = normalizeAndCacheData(this.cache, dataXY2, this.options);\n\n    let aligned;\n    if (this.options.selectedMasses?.length > 0) {\n      aligned = xyArrayAlign(\n        [\n          data1,\n          data2,\n          {\n            x: Float64Array.from(this.options.selectedMasses),\n            y: new Float64Array(this.options.selectedMasses.length).fill(1),\n          },\n        ],\n        {\n          delta: this.options.delta,\n          requiredY: true,\n        },\n      );\n    } else {\n      aligned = xyArrayAlign([data1, data2], {\n        delta: this.options.delta,\n      });\n    }\n\n    if (this.options.minNbCommonPeaks) {\n      let commonPeaks = 0;\n      for (let i = 0; i < aligned.ys[0].length; i++) {\n        if (aligned.ys[0][i] !== 0 && aligned.ys[1][i] !== 0) {\n          commonPeaks++;\n        }\n      }\n      if (commonPeaks < this.options.minNbCommonPeaks) return 0;\n    }\n\n    const vector1 = new Float64Array(aligned.x.length);\n    const vector2 = new Float64Array(aligned.x.length);\n    for (let i = 0; i < aligned.x.length; i++) {\n      vector1[i] =\n        aligned.x[i] ** this.options.massPower *\n        aligned.ys[0][i] ** this.options.intensityPower;\n      vector2[i] =\n        aligned.x[i] ** this.options.massPower *\n        aligned.ys[1][i] ** this.options.intensityPower;\n    }\n\n    return similarity.cosine(vector1, vector2);\n  }\n}\n\n/**\n *\n * @param {WeakMap} cache\n * @param {import('cheminfo-types').DataXY} dataXY\n * @param {object} [options={}]\n * @param {number} [options.nbPeaks]\n * @param {number} [options.minIntensity]\n */\nfunction normalizeAndCacheData(cache, dataXY, options = {}) {\n  const { nbPeaks, minIntensity } = options;\n  if (cache.has(dataXY)) return cache.get(dataXY);\n\n  let data = { ...dataXY };\n  if (xIsMonotonic(data.x) !== 1) {\n    data = xySortX(data);\n  }\n\n  if (minIntensity !== undefined) {\n    data = xyFilterMinYValue(data, minIntensity);\n  }\n\n  if (nbPeaks !== undefined) {\n    data = xyFilterTopYValues(data, nbPeaks);\n  }\n\n  cache.set(dataXY, data);\n  return data;\n}\n","/**\n * Returns the average of cosine distances between vectors a and b\n * @param a - first vector\n * @param b - second vector\n *\n */\nexport default function cosine(a, b) {\n    let p = 0;\n    let p2 = 0;\n    let q2 = 0;\n    for (let i = 0; i < a.length; i++) {\n        p += a[i] * b[i];\n        p2 += a[i] * a[i];\n        q2 += b[i] * b[i];\n    }\n    return p / (Math.sqrt(p2) * Math.sqrt(q2));\n}\n//# sourceMappingURL=cosine.js.map","import { xMinMaxValues } from '../x/xMinMaxValues';\n/** Filter an array x/y based on various criteria x points are expected to be sorted\n *\n * @param data - object containing 2 properties x and y\n * @param minRelativeYValue - the minimum relative value compare to the Y max value\n * @return filtered data\n */\nexport function xyFilterMinYValue(data, minRelativeYValue) {\n    if (minRelativeYValue === undefined)\n        return data;\n    const { x, y } = data;\n    const { min, max } = xMinMaxValues(y);\n    const threshold = max * minRelativeYValue;\n    if (min >= threshold)\n        return data;\n    const newX = [];\n    const newY = [];\n    for (let i = 0; i < x.length; i++) {\n        if (y[i] >= threshold) {\n            newX.push(x[i]);\n            newY.push(y[i]);\n        }\n    }\n    return {\n        x: newX,\n        y: newY,\n    };\n}\n//# sourceMappingURL=xyFilterMinYValue.js.map","import { EMDB } from 'emdb';\n\n/**\n *\n * @param {array} bestPeaks\n * @param {object} [options={}]\n * @param {array} [options.mfColors={}]\n * @param {number} [options.numberDigits=5]\n * @param {number} [options.numberMFs=0]\n * @param {boolean} [options.showMF=false]\n * @param {array} [options.mfColors={}]\n * @param {number} [options.charge=1]\n * @param {number} [options.shift=0]\n * @param {object} [options.mfPrefs]\n * @param {number} [options.displayCharge=true]\n * @param {number} [options.displayProperties=[]] Array of properties name to display\n * @returns {Promise}\n */\n\nexport async function getPeaksAnnotation(bestPeaks, options = {}) {\n  const emdb = new EMDB();\n\n  options = { limit: 5, precision: 100, ...options };\n\n  let {\n    numberDigits = 5,\n    shift = 0,\n    showMF = false,\n    numberMFs = 0,\n    charge = 1,\n    mfPrefs = {},\n    displayCharge = true,\n    displayProperties = [],\n    mfColors = [\n      { limit: 3, color: 'green' },\n      { limit: 20, color: 'lightgreen' },\n      { limit: 50, color: 'lightorange' },\n    ],\n  } = options;\n  if (showMF && !numberMFs) numberMFs = 1;\n  let annotations = [];\n  bestPeaks.sort((a, b) => (a.close ? -1 : b.close ? 1 : 0));\n\n  for (let peak of bestPeaks) {\n    let textLine = 0;\n    let annotation;\n    if (peak.close) {\n      annotation = {\n        type: 'line',\n        _highlight: peak._highlight,\n        info: peak,\n        position: [\n          {\n            y: peak.y,\n            dy: '-5px',\n            x: peak.x,\n          },\n          {\n            y: peak.y,\n            dy: '-15px',\n            x: peak.x,\n          },\n        ],\n      };\n      annotations.push(annotation);\n      annotation = {\n        type: 'ellipse',\n        _highlight: peak._highlight,\n        info: peak,\n        position: [\n          {\n            y: peak.y,\n            dy: '-15px',\n            x: peak.x,\n          },\n        ],\n        props: {\n          rx: '3px',\n          ry: '3px',\n          fillOpacity: 0.3,\n        },\n      };\n    } else {\n      annotation = {\n        type: 'line',\n        _highlight: peak._highlight,\n        position: [\n          {\n            y: peak.y,\n            dy: '-5px',\n            x: peak.x,\n          },\n          {\n            y: peak.y,\n            dy: '-25px',\n            x: peak.x,\n          },\n        ],\n        labels: [\n          {\n            text: (peak.x + shift).toFixed(numberDigits),\n            color: 'red',\n            position: {\n              x: peak.x,\n              y: peak.y,\n              dy: `${textLine++ * -13 - 17}px`,\n              dx: '2px',\n            },\n          },\n        ],\n      };\n\n      if (displayCharge) {\n        annotation.labels.push({\n          text: `Z:${peak.charge}`,\n          color: 'grey',\n          position: {\n            x: peak.x,\n            y: peak.y,\n            dy: '-4px',\n            dx: '2px',\n          },\n        });\n      }\n\n      if (numberMFs) {\n        // we have 2 cases. Either there is a shift and we deal with differences\n        // otherwise it is absolute\n        // if there is a shift we consider only a neutral loss and the parameter charge is important\n        if (shift) {\n          // neutral loss\n          let currentMfPrefs = {\n            ...mfPrefs,\n            allowNeutral: true,\n            ionizations: '',\n          };\n          // we need to deal with the precision and increase it\n          currentMfPrefs.precision =\n            (currentMfPrefs.precision / Math.max(Math.abs(peak.x + shift), 1)) *\n            peak.x;\n          await emdb.fromMonoisotopicMass(\n            Math.abs((peak.x + shift) * charge),\n            currentMfPrefs,\n          );\n        } else {\n          await emdb.fromMonoisotopicMass(Math.abs(peak.x * charge), mfPrefs);\n        }\n\n        let mfs = emdb.get('monoisotopic');\n        let numberOfMFS = Math.min(mfs.length, numberMFs);\n\n        for (let i = 0; i < numberOfMFS; i++) {\n          let mf = mfs[i];\n\n          let ppm = shift ? (mf.ms.ppm / shift) * mfs[0].ms.em : mf.ms.ppm;\n          annotation.labels.push({\n            text: mf.mf,\n            color: getColor(mfColors, Math.abs(ppm)),\n            position: {\n              x: peak.x,\n              y: peak.y,\n              dy: `${textLine++ * -13 - 17}px`,\n              dx: '2px',\n            },\n          });\n        }\n      }\n\n      if (displayProperties.length > 0) {\n        for (let property of displayProperties) {\n          annotation.labels.push({\n            text: peak[property],\n            color: 'red',\n            position: {\n              x: peak.x,\n              y: peak.y,\n              dy: `${textLine++ * -13 - 17}px`,\n              dx: '2px',\n            },\n          });\n        }\n      }\n    }\n    annotations.push(annotation);\n  }\n  return annotations;\n}\n\nfunction getColor(colors, value) {\n  for (let color of colors) {\n    if (value < color.limit) return color.color;\n  }\n  return 'lightgrey';\n}\n","import { getPeaksAnnotation } from './getPeaksAnnotation.js';\n\nexport const JsGraph = {\n  getPeaksAnnotation,\n};\n","/**\n * @param {object}   [entry={}]\n * @param {object}   [options={}]\n * @param {number}   [options.min=-Infinity] - Minimal unsaturation\n * @param {number}   [options.max=+Infinity] - Maximal unsaturation\n * @param {boolean}   [options.onlyInteger=false] - Integer unsaturation\n * @param {boolean}   [options.onlyNonInteger=false] - Non integer unsaturation\n * @return {boolean}\n */\n\nexport function unsaturationMatcher(entry, options = {}) {\n  const {\n    min = Number.MIN_SAFE_INTEGER,\n    max = Number.MAX_SAFE_INTEGER,\n    onlyInteger,\n    onlyNonInteger,\n  } = options;\n\n  if (entry.unsaturation !== undefined) {\n    if (entry.unsaturation < min || entry.unsaturation > max) return false;\n    if (onlyInteger && !Number.isInteger(entry.unsaturation)) return false;\n    if (onlyNonInteger && Number.isInteger(entry.unsaturation)) return false;\n  }\n  return true;\n}\n","import { unsaturationMatcher } from './unsaturationMatcher.js';\n\n/**\n * Returns true if the entry containing MF information match\n * @param {object}   [entry={}] - object containing mw, ...\n * @param {object}   [options={}]\n * @param {number}   [options.minMW=0] - Minimal molecular weight\n * @param {number}   [options.maxMW=+Infinity] - Maximal molecular weight\n * @param {number}   [options.minEM=0] - Minimal monoisotopic mass\n * @param {number}   [options.maxEM=+Infinity] - Maximal monoisotopic mass\n * @param {number}   [options.minCharge=-Infinity] - Minimal charge\n * @param {number}   [options.maxCharge=+Infinity] - Maximal charge\n * @param {boolean}  [options.absoluteCharge=false] - If true, the charge is absolute (so between 0 and +Infinity by default)\n * @param {object}   [options.unsaturation={}]\n * @param {number}   [options.unsaturation.min=-Infinity] - Minimal unsaturation\n * @param {number}   [options.unsaturation.max=+Infinity] - Maximal unsaturation\n * @param {boolean}   [options.unsaturation.onlyInteger=false] - Integer unsaturation\n * @param {boolean}   [options.unsaturation.onlyNonInteger=false] - Non integer unsaturation\n * @param {object}   [options.atoms] - object of atom:{min, max}\n * @return {boolean}\n */\n\nexport function generalMatcher(entry, options = {}) {\n  const {\n    minMW = 0,\n    maxMW = +Infinity,\n    minEM = 0,\n    maxEM = +Infinity,\n    minCharge = Number.MIN_SAFE_INTEGER,\n    maxCharge = Number.MAX_SAFE_INTEGER,\n    absoluteCharge = false,\n    unsaturation = {},\n    atoms,\n  } = options;\n\n  if (entry.mw !== undefined) {\n    if (entry.mw < minMW || entry.mw > maxMW) return false;\n  }\n\n  if (entry.em !== undefined) {\n    if (entry.em < minEM || entry.em > maxEM) return false;\n  }\n\n  if (entry.charge !== undefined) {\n    let charge = absoluteCharge ? Math.abs(entry.charge) : entry.charge;\n    if (charge < minCharge || charge > maxCharge) return false;\n  }\n\n  if (unsaturation !== undefined && entry.unsaturation !== undefined) {\n    if (!unsaturationMatcher(entry, unsaturation)) return false;\n  }\n\n  if (entry.atoms !== undefined && atoms) {\n    // all the atoms of the entry must fit in the range\n    for (let atom in entry.atoms) {\n      if (!atoms[atom]) return false;\n      if (entry.atoms[atom] < atoms[atom].min) return false;\n      if (entry.atoms[atom] > atoms[atom].max) return false;\n    }\n  }\n  return true;\n}\n","import { getMsem } from './getMsem';\n\n/**\n * Returns an object containing:\n * {ms: {em, charge, ionization}, ionization: {}}\n * We return the ionization in order to know which one has been selected\n */\n\nexport function getMsInfo(entry, options = {}) {\n  const {\n    allowNeutralMolecules,\n    ionization = { mf: '', em: 0, charge: 0 },\n    forceIonization = false,\n    targetMass,\n  } = options;\n\n  let realIonization = ionization;\n  if (!forceIonization && entry.ionization && entry.ionization.mf !== '') {\n    realIonization = entry.ionization;\n  }\n  let ms = {\n    ionization: realIonization.mf,\n    em: 0,\n    charge: entry.charge + realIonization.charge,\n  };\n\n  if (ms.charge !== 0) {\n    ms.em = getMsem(entry.em + realIonization.em, ms.charge);\n  } else if (allowNeutralMolecules) {\n    ms.em = entry.em + realIonization.em;\n  }\n  if (targetMass) {\n    ms.delta = targetMass - ms.em;\n    ms.ppm = ((targetMass - ms.em) / ms.em) * 1e6;\n  }\n  return {\n    ms,\n    ionization: realIonization,\n  };\n}\n","import { ELECTRON_MASS } from 'chemical-elements';\n\nexport function getMsem(em, charge) {\n  if (charge > 0) {\n    return em / charge - ELECTRON_MASS;\n  } else if (charge < 0) {\n    return em / (charge * -1) + ELECTRON_MASS;\n  } else {\n    return 0;\n  }\n}\n","import { MF } from 'mf-parser';\n\nexport function mfDiff(mfString1, mfString2) {\n  let mf1 = new MF(mfString1).getInfo().atoms;\n  let mf2 = new MF(mfString2).getInfo().atoms;\n  let atoms = Object.keys(mf1);\n  Object.keys(mf2).forEach((atom) => {\n    if (!atoms.includes(atom)) atoms.push(atom);\n  });\n  let mf = '';\n  for (let atom of atoms) {\n    let diff = (mf1[atom] || 0) - (mf2[atom] || 0);\n    if (diff) mf += atom + diff;\n  }\n  return new MF(mf).toMF();\n}\n","export function processRange(string, comment, options = {}) {\n  const { limit } = options;\n  let results = [];\n  let parts = string.split(/(-?[0-9]+--?[0-9]+)/).filter((v) => v); // remove empty parts\n\n  let position = -1;\n  let mfs = [];\n  for (let i = 0; i < parts.length; i++) {\n    let part = parts[i];\n    if (!~part.search(/-?[0-9]--?[0-9]/)) {\n      position++;\n      mfs[position] = {\n        mf: part,\n        min: 1,\n        max: 1,\n      };\n    } else {\n      let min = part.replace(/^(-?[0-9]*)-(-?[0-9]*)/, '$1') >> 0;\n      let max = part.replace(/^(-?[0-9]*)-(-?[0-9]*)/, '$2') >> 0;\n      mfs[position].min = Math.min(min, max);\n      mfs[position].max = Math.max(min, max);\n    }\n  }\n\n  let currents = new Array(mfs.length);\n  for (let i = 0; i < currents.length; i++) {\n    currents[i] = mfs[i].min;\n  }\n\n  position = 0;\n  while (position < currents.length) {\n    if (currents[position] < mfs[position].max) {\n      results.push(getMF(mfs, currents, comment));\n      currents[position]++;\n      for (let i = 0; i < position; i++) {\n        currents[i] = mfs[i].min;\n      }\n      position = 0;\n    } else {\n      position++;\n    }\n    if (results.length > limit) {\n      throw Error(`processRange generates to many fragments (over ${limit})`);\n    }\n  }\n\n  results.push(getMF(mfs, currents, comment));\n  return results;\n}\n\nfunction getMF(mfs, currents, comment) {\n  let mf = '';\n  for (let i = 0; i < mfs.length; i++) {\n    if (currents[i] === 0) {\n      // TODO we need to remove from currents[i] till we reach another part of the MF\n      mf += removeMFLastPart(mfs[i].mf);\n    } else {\n      mf += mfs[i].mf;\n      if (currents[i] !== 1) {\n        mf += currents[i];\n      }\n    }\n  }\n  if (comment) mf += `$${comment}`;\n  return mf;\n}\n\n/*\n   Allows to remove the last part of a MF. Useful when you have something with '0' times.\n   C10H -> C10\n   C10((Me)N) -> C10\n   C10Ala -> C10\n   C10Ala((Me)N) -> C10Ala\n   */\nfunction removeMFLastPart(mf) {\n  let parenthesis = 0;\n  let start = true;\n  for (let i = mf.length - 1; i >= 0; i--) {\n    let ascii = mf.charCodeAt(i);\n\n    if (ascii > 96 && ascii < 123) {\n      // lowercase\n      if (!start && !parenthesis) {\n        return mf.substr(0, i + 1);\n      }\n    } else if (ascii > 64 && ascii < 91) {\n      // uppercase\n      if (!start && !parenthesis) {\n        return mf.substr(0, i + 1);\n      }\n      start = false;\n    } else if (ascii === 40) {\n      // (\n      parenthesis--;\n      if (!parenthesis) return mf.substr(0, i);\n    } else if (ascii === 41) {\n      // )\n      parenthesis++;\n    } else {\n      start = false;\n      if (!parenthesis) return mf.substr(0, i + 1);\n    }\n  }\n  return '';\n}\n","import { MF } from 'mf-parser';\n\nimport { processRange } from './processRange';\n\nexport function preprocessIonizations(ionizationsString = '') {\n  if (Array.isArray(ionizationsString)) return ionizationsString;\n  let ionizations = ionizationsString.split(/ *[.,;\\t\\r\\n]+ */);\n\n  // it is allowed to have ranges in Ionizations. We need to explode them.\n\n  let results = [];\n\n  for (let ionization of ionizations) {\n    let parts = processRange(ionization);\n    for (let part of parts) {\n      let info = new MF(part).getInfo();\n      results.push({\n        mf: part,\n        em: info.monoisotopicMass,\n        charge: info.charge,\n        atoms: info.atoms,\n      });\n    }\n  }\n\n  return results;\n}\n","import { Kind, MF, parse } from 'mf-parser';\n\nexport function preprocessRanges(ranges) {\n  ranges = JSON.parse(JSON.stringify(ranges));\n  if (typeof ranges === 'string') {\n    // need to convert to ranges\n    let parsed = parse(ranges.replace(/[\\r\\n\\t ]/g, ''));\n    let newRanges = [];\n    let current = {\n      mf: '',\n      min: 1,\n      max: 1,\n    };\n\n    // example ClBr2(CH2)0-2NO\n    // the idea is that has long as we don't have a range we don't really care\n    // there is a limitation is that the range has to be first level of parenthesis\n    let parenthesisLevel = 0;\n    let currentMF = ''; // start at an atom first level or a parenthesis\n    for (let item of parsed) {\n      switch (item.kind) {\n        case Kind.ATOM:\n          if (parenthesisLevel === 0 && currentMF) {\n            current.mf += currentMF;\n            currentMF = '';\n          }\n          currentMF += item.value;\n          break;\n        case Kind.ISOTOPE:\n          if (parenthesisLevel === 0 && currentMF) {\n            current.mf += currentMF;\n            currentMF = '';\n          }\n          currentMF += `[${item.value.isotope}${item.value.atom}]`;\n          break;\n        case Kind.MULTIPLIER:\n          if (parenthesisLevel === 0 && currentMF) {\n            current.mf += currentMF + item.value;\n            currentMF = '';\n          } else {\n            currentMF += item.value;\n          }\n          break;\n        case Kind.MULTIPLIER_RANGE:\n          if (parenthesisLevel !== 0) {\n            throw new Error('Range multiplier can only be at the first level');\n          }\n          newRanges.push({\n            mf: currentMF,\n            min: item.value.from,\n            max: item.value.to,\n          });\n          currentMF = '';\n          break;\n        case Kind.OPENING_PARENTHESIS:\n          parenthesisLevel++;\n          currentMF += '(';\n          break;\n        case Kind.CLOSING_PARENTHESIS:\n          parenthesisLevel--;\n          currentMF += ')';\n          break;\n        default:\n          throw Error(`can not preprocess ${ranges}`);\n      }\n    }\n    if (currentMF) {\n      current.mf += currentMF;\n    }\n    if (current.mf) {\n      newRanges.push(current);\n    }\n    ranges = newRanges;\n  }\n  let possibilities = [];\n  for (let i = 0; i < ranges.length; i++) {\n    let range = ranges[i];\n    let min = range.min === undefined ? 0 : range.min;\n    let max = range.max === undefined ? 1 : range.max;\n    let possibility = {\n      mf: range.mf,\n      originalMinCount: min, // value defined by the user\n      originalMaxCount: max, // value defined by the user\n      currentMinCount: min,\n      currentMaxCount: max,\n      currentCount: min,\n      currentMonoisotopicMass: 0,\n      currentCharge: 0,\n      currentUnsaturation: 0,\n      initialOrder: i,\n      minInnerMass: 0,\n      maxInnerMass: 0,\n      minInnerCharge: 0,\n      maxInnerCharge: 0,\n      minCharge: 0,\n      maxCharge: 0,\n      minMass: 0,\n      maxMass: 0,\n      innerCharge: false,\n    };\n    possibilities.push(possibility);\n    let info = new MF(range.mf).getInfo();\n    possibility.em = range.em || info.monoisotopicMass;\n    possibility.charge = range.charge || info.charge;\n    possibility.unsaturation =\n      range.unsaturation === undefined\n        ? (info.unsaturation - 1) * 2\n        : range.unsaturation;\n    possibility.atoms = info.atoms;\n    if (possibility.mf !== info.mf) {\n      possibility.isGroup = true;\n    }\n  }\n  possibilities = possibilities.filter(\n    (r) => r.originalMinCount !== 0 || r.originalMaxCount !== 0,\n  );\n\n  // we will sort the way we analyse the data\n  // 1. The one possibility parameter\n  // 2. The charged part\n  // 3. Decreasing em\n  possibilities.sort((a, b) => {\n    if (a.originalMinCount === a.originalMaxCount) return -1; // should be in front, they are 'static'\n    if (b.originalMinCount === b.originalMaxCount) return 1;\n    if (a.charge && b.charge) {\n      if (Math.abs(a.charge) > Math.abs(b.charge)) return -1;\n      if (Math.abs(a.charge) < Math.abs(b.charge)) return 1;\n      return b.em - a.em;\n    }\n    if (a.charge) return -1;\n    if (b.charge) return 1;\n    return b.em - a.em;\n  });\n\n  // we calculate couple of fixed values\n\n  for (let i = 0; i < possibilities.length; i++) {\n    for (let j = i; j < possibilities.length; j++) {\n      let possibility = possibilities[j];\n      if (possibility.em > 0) {\n        possibilities[i].minMass +=\n          possibility.em * possibility.originalMinCount;\n        possibilities[i].maxMass +=\n          possibility.em * possibility.originalMaxCount;\n      } else {\n        possibilities[i].minMass +=\n          possibility.em * possibility.originalMaxCount;\n        possibilities[i].maxMass +=\n          possibility.em * possibility.originalMinCount;\n      }\n      if (possibility.charge > 0) {\n        possibilities[i].minCharge +=\n          possibility.charge * possibility.originalMinCount;\n        possibilities[i].maxCharge +=\n          possibility.charge * possibility.originalMaxCount;\n      } else {\n        possibilities[i].minCharge +=\n          possibility.charge * possibility.originalMaxCount;\n        possibilities[i].maxCharge +=\n          possibility.charge * possibility.originalMinCount;\n      }\n    }\n  }\n\n  for (let i = 0; i < possibilities.length; i++) {\n    if (i < possibilities.length - 1) {\n      let possibility = possibilities[i];\n      let innerPossibility = possibilities[i + 1];\n      possibility.minInnerMass = innerPossibility.minMass;\n      possibility.maxInnerMass = innerPossibility.maxMass;\n      possibility.minInnerCharge = innerPossibility.minCharge;\n      possibility.maxInnerCharge = innerPossibility.maxCharge;\n      if (possibility.minInnerCharge || possibility.maxInnerCharge) {\n        possibility.innerCharge = true;\n      }\n    }\n  }\n\n  return possibilities;\n}\n","import { getMsInfo } from 'mf-utilities';\nimport { xFindClosestIndex } from 'ml-spectra-processing';\n\nimport { unsaturationMatcher } from './unsaturationMatcher.js';\n/**\n * @param {object}         [entry={}]\n * @param {object}         [options={}]\n * @param {object}         [options.ionization={ mf: '', em: 0, charge: 0 }] - ionization method\n * @param {boolean}        [options.forceIonization=false] - If true ignore existing ionizations\n * @param {number}         [options.precision=1000] - The precision on the experimental mass\n * @param {number}         [options.targetMass] - Target mass, allows to calculate error and filter results\n * @param {number[]}       [options.targetMasses] - Target masses: SORTED array of numbers\n * @param {number[]}       [options.targetIntensities] - Target intensities: SORTED array of numbers\n * @param {number}         [options.minEM=0] - Minimal monoisotopic mass\n * @param {number}         [options.maxEM=+Infinity] - Maximal monoisotopic mass\n * @param {number}         [options.minMSEM=0] - Minimal monoisotopic mass observed by mass\n * @param {number}         [options.maxMSEM=+Infinity] - Maximal monoisotopic mass observed by mass\n * @param {number}         [options.minCharge=-Infinity] - Minimal charge\n * @param {number}         [options.maxCharge=+Infinity] - Maximal charge\n * @param {boolean}        [options.absoluteCharge=false] - If true, the charge is absolute (so between 0 and +Infinity by default)\n * @param {boolean}        [options.allowNegativeAtoms=false] - Allow to have negative number of atoms\n * @param {object}         [options.unsaturation={}]\n * @param {number}         [options.unsaturation.min=-Infinity] - Minimal unsaturation\n * @param {number}         [options.unsaturation.max=+Infinity] - Maximal unsaturation\n * @param {boolean}        [options.unsaturation.onlyInteger=false] - Integer unsaturation\n * @param {boolean}        [options.unsaturation.onlyNonInteger=false] - Non integer unsaturation\n * @param {boolean}        [options.atoms] - object of atom:{min, max}\n * @param {Function}       [options.callback] - a function that contains information about the current MF\n * @return {boolean}\n */\n\n/**\n * We always recalculate msem\n */\n\nexport function msemMatcher(entry, options = {}) {\n  const {\n    ionization = { mf: '', em: 0, charge: 0, atoms: {} },\n    forceIonization = false,\n    precision = 1000,\n    minCharge = Number.MIN_SAFE_INTEGER,\n    maxCharge = Number.MAX_SAFE_INTEGER,\n    absoluteCharge = false,\n    unsaturation = {},\n    targetMass, // if present we will calculate the errors\n    targetMasses, // if present we will calculate the smallest error\n    targetIntensities, // if present it will be added in the report\n    minEM = -Infinity,\n    maxEM = +Infinity,\n    minMSEM = -Infinity,\n    maxMSEM = +Infinity,\n    allowNegativeAtoms = false,\n    atoms,\n    callback,\n  } = options;\n\n  let msInfo = getMsInfo(entry, {\n    ionization,\n    forceIonization,\n    targetMass,\n  });\n  let ms = msInfo.ms;\n\n  if (entry.em !== undefined) {\n    if (entry.em < minEM || entry.em > maxEM) return false;\n  }\n\n  if (ms.em !== undefined) {\n    if (ms.em < minMSEM || ms.em > maxMSEM) return false;\n  }\n\n  if (targetMass && Math.abs(ms.ppm) > precision) return false;\n\n  if (ms.charge !== undefined) {\n    let charge = absoluteCharge ? Math.abs(ms.charge) : ms.charge;\n    if (charge < minCharge || charge > maxCharge) return false;\n  }\n  if (unsaturation !== undefined && entry.unsaturation !== undefined) {\n    if (!unsaturationMatcher(entry, unsaturation)) {\n      return false;\n    }\n  }\n  if (entry.atoms !== undefined && atoms) {\n    // all the atoms of the entry must fit in the range\n    for (let atom in entry.atoms) {\n      if (!atoms[atom]) return false;\n      if (entry.atoms[atom] < atoms[atom].min) return false;\n      if (entry.atoms[atom] > atoms[atom].max) return false;\n    }\n  }\n\n  if (entry.atoms !== undefined && !allowNegativeAtoms) {\n    const ionizationAtoms =\n      (msInfo.ionization && msInfo.ionization.atoms) || {};\n    const atomKeys = new Set(\n      Object.keys(ionizationAtoms).concat(Object.keys(entry.atoms)),\n    );\n    for (let atom of atomKeys) {\n      if ((entry.atoms[atom] || 0) + (ionizationAtoms[atom] || 0) < 0) {\n        return false;\n      }\n    }\n  }\n\n  if (targetMasses && targetMasses.length > 0) {\n    let index = xFindClosestIndex(targetMasses, ms.em);\n    let closestMass = targetMasses[index];\n    msInfo = getMsInfo(entry, {\n      ionization,\n      forceIonization,\n      targetMass: closestMass,\n    });\n    msInfo.ms.target = { mass: closestMass };\n    if (targetIntensities) {\n      msInfo.ms.target.intensity = targetIntensities[index];\n    }\n    // need to find the closest targetMasses\n    if (Math.abs(msInfo.ms.ppm) > precision) return false;\n  }\n\n  if (callback) {\n    if (!callback(entry)) return false;\n  }\n\n  return msInfo;\n}\n","import { ELECTRON_MASS } from 'chemical-elements';\n\n/**\n * returns all the possible neutral mass for a defined experimental (targetMass) mass\n */\nexport class TargetMassCache {\n  /**\n   * @param {number} targetMass\n   * @param {Array} possibilities\n   * @param {object} [options={}]\n   * @param {boolean} [options.allowNeutral=false]\n   * @param {number} [options.charge=0]\n   * @param {number} [options.precision=100]\n   * @param {object} [options.filter={}]\n   * @param {number} [options.filter.minCharge=Number.MIN_SAFE_INTEGER]\n   * @param {number} [options.filter.maxCharge=Number.MAX_SAFE_INTEGER]\n   * @returns\n   */\n  constructor(targetMass, possibilities, options = {}) {\n    const {\n      allowNeutral = false, // msem because em in this case !\n      filter = {},\n      charge = 0,\n      precision = 100,\n    } = options;\n    const {\n      minCharge = Number.MIN_SAFE_INTEGER,\n      maxCharge = Number.MAX_SAFE_INTEGER,\n    } = filter;\n\n    if (!possibilities || possibilities.length === 0) return;\n\n    let firstPossibility = possibilities[0];\n    let currentMinCharge = Math.max(\n      minCharge,\n      firstPossibility.minCharge + charge,\n    );\n    let currentMaxCharge = Math.min(\n      maxCharge,\n      firstPossibility.maxCharge + charge,\n    );\n\n    this.minCharge = currentMinCharge;\n    this.maxCharge = currentMaxCharge;\n\n    let size = this.maxCharge - this.minCharge + 1;\n    this.data = [];\n    let minMass = 0;\n    let maxMass = 0;\n    let range = (targetMass * precision) / 1e6;\n    for (let i = 0; i < size; i++) {\n      let currentCharge = i + this.minCharge;\n      if (currentCharge === 0) {\n        if (allowNeutral) {\n          minMass = targetMass - range;\n          maxMass = targetMass + range;\n        } else {\n          minMass = Number.MAX_SAFE_INTEGER;\n          maxMass = Number.MIN_SAFE_INTEGER;\n        }\n      } else {\n        minMass =\n          (targetMass - range) * Math.abs(currentCharge) +\n          ELECTRON_MASS * currentCharge;\n        maxMass =\n          (targetMass + range) * Math.abs(currentCharge) +\n          ELECTRON_MASS * currentCharge;\n      }\n\n      this.data.push({\n        charge: currentCharge,\n        minMass,\n        maxMass,\n      });\n    }\n  }\n\n  getMinMass(charge) {\n    return this.data[charge - this.minCharge]\n      ? this.data[charge - this.minCharge].minMass\n      : Number.MAX_SAFE_INTEGER;\n  }\n\n  getMaxMass(charge) {\n    return this.data[charge - this.minCharge]\n      ? this.data[charge - this.minCharge].maxMass\n      : Number.MIN_SAFE_INTEGER;\n  }\n}\n","import { atomSorter } from 'atom-sorter';\nimport { msemMatcher } from 'mf-matcher';\nimport {\n  preprocessIonizations,\n  preprocessRanges,\n  getMsInfo,\n} from 'mf-utilities';\n\nimport { TargetMassCache } from './TargetMassCache';\n\n/**\n * @param {number}        targetMass - Monoisotopic mass\n * @param {object}        [options={}]\n * @param {number}        [options.maxIterations=10000000] - Maximum number of iterations\n * @param {boolean}       [options.allowNeutral=true]\n * @param {boolean}       [options.uniqueMFs=true]\n * @param {number}        [options.limit=1000] - Maximum number of results\n * @param {string}        [options.ionizations=''] - string containing a comma separated list of modifications\n * @param {string}        [options.ranges='C0-100 H0-100 O0-100 N0-100'] - range of mfs to search\n * @param {number}        [options.precision=100] - Allowed mass range based on precision\n * @param {object}        [options.filter={}]\n * @param {number}        [options.filter.minCharge=-Infinity] - Minimal charge\n * @param {number}        [options.filter.maxCharge=+Infinity] - Maximal charge\n * @param {boolean}       [options.filter.absoluteCharge=false] - If true, the charge is absolute (so between 0 and +Infinity by default)\n * @param {object}        [options.filter.unsaturation={}]\n * @param {number}        [options.filter.unsaturation.min=-Infinity] - Minimal unsaturation\n * @param {number}        [options.filter.unsaturation.max=+Infinity] - Maximal unsaturation\n * @param {boolean}       [options.filter.unsaturation.onlyInteger=false] - Integer unsaturation\n * @param {boolean}       [options.filter.unsaturation.onlyNonInteger=false] - Non integer unsaturation\n * @param {object}        [options.filter.atoms] - object of atom:{min, max}\n * @param {function}      [options.filter.callback] - a function to filter the MF\n * @returns {object}\n */\n\nexport function findMFsSync(targetMass, options = {}) {\n  const {\n    filter = {},\n    maxIterations = 1e8,\n    limit = 1000,\n    allowNeutral = true, // if there is no msem we use em !\n    uniqueMFs = false, // if there is no msem we use em !\n    ranges = [\n      { mf: 'C', min: 0, max: 100 },\n      { mf: 'H', min: 0, max: 100 },\n      { mf: 'O', min: 0, max: 100 },\n      { mf: 'N', min: 0, max: 100 },\n    ],\n  } = options;\n  let targetMassCache;\n  const {\n    minCharge = Number.MIN_SAFE_INTEGER,\n    maxCharge = Number.MAX_SAFE_INTEGER,\n    unsaturation = {},\n  } = filter;\n\n  let filterUnsaturation = !!unsaturation;\n  // we calculate not the real unsaturation but the one before dividing by 2 + 1\n  let fakeMinUnsaturation =\n    unsaturation.min === undefined\n      ? Number.MIN_SAFE_INTEGER\n      : (unsaturation.min - 1) * 2;\n  let fakeMaxUnsaturation =\n    unsaturation.max === undefined\n      ? Number.MAX_SAFE_INTEGER\n      : (unsaturation.max - 1) * 2;\n\n  let filterCharge =\n    minCharge !== Number.MIN_SAFE_INTEGER ||\n    maxCharge !== Number.MAX_SAFE_INTEGER;\n\n  let advancedFilter;\n  if (filter.atoms || filter.callback) {\n    advancedFilter = {\n      atoms: filter.atoms,\n      callback: filter.callback,\n    };\n  }\n\n  let result = {\n    mfs: [],\n    info: {\n      numberMFEvaluated: 0,\n      numberResults: 0,\n    },\n  };\n  let orderMapping = []; // used to sort the atoms\n\n  // we need to make the processing for all the ionizations\n  let ionizations = preprocessIonizations(options.ionizations);\n  for (let ionization of ionizations) {\n    let currentIonization = {\n      currentMonoisotopicMass: ionization.em || 0,\n      currentCharge: ionization.charge,\n      currentUnsaturation: 0, // we don't take into account the unsaturation of the ionization agent\n    };\n    // if (DEBUG) console.log('new ionization', ionization.mf, ionization.em, ionization.charge);\n    // ionization em and charge will be used to set the first atom value\n    let possibilities = preprocessRanges(ranges);\n    orderMapping = getOrderMapping(possibilities);\n\n    if (possibilities.length === 0) return { mfs: [] };\n    targetMassCache = new TargetMassCache(targetMass, possibilities, {\n      ...options,\n      charge: ionization.charge,\n    });\n\n    let theEnd = false;\n    let maxPosition = possibilities.length;\n    let lastPosition = possibilities.length - 1;\n    let currentPosition = 0;\n    let currentAtom;\n    let previousAtom;\n    let lastPossibility = possibilities[lastPosition];\n\n    initializePossibilities(possibilities, currentIonization, targetMassCache);\n\n    //  if (DEBUG) console.log('possibilities', possibilities.map((a) => `${a.mf + a.originalMinCount}-${a.originalMaxCount}`));\n\n    let isValid = false; // designed so that the first time it is not a valid solution\n    while (!theEnd) {\n      if (result.info.numberMFEvaluated++ > maxIterations) {\n        throw Error(\n          `Iteration number is over the current maximum of: ${maxIterations}`,\n        );\n      }\n      if (filterUnsaturation) {\n        let unsaturationValue = lastPossibility.currentUnsaturation;\n        let isOdd = Math.abs(unsaturationValue % 2);\n        if (\n          (unsaturation.onlyInteger && isOdd === 1) ||\n          (unsaturation.onlyNonInteger && isOdd === 0) ||\n          fakeMinUnsaturation > unsaturationValue ||\n          fakeMaxUnsaturation < unsaturationValue\n        ) {\n          isValid = false;\n        }\n      }\n      if (\n        filterCharge &&\n        (lastPossibility.currentCharge < minCharge ||\n          lastPossibility.currentCharge > maxCharge)\n      ) {\n        isValid = false;\n      }\n\n      if (isValid) {\n        let minMass = targetMassCache.getMinMass(lastPossibility.currentCharge);\n        let maxMass = targetMassCache.getMaxMass(lastPossibility.currentCharge);\n        if (\n          lastPossibility.currentMonoisotopicMass < minMass ||\n          lastPossibility.currentMonoisotopicMass > maxMass\n        ) {\n          isValid = false;\n        }\n      }\n\n      if (isValid) {\n        result.info.numberResults++;\n        let newResult = getResult(\n          possibilities,\n          targetMass,\n          allowNeutral,\n          ionization,\n          orderMapping,\n        );\n        if (advancedFilter) {\n          isValid = msemMatcher(newResult, advancedFilter) !== false;\n        }\n        if (isValid) {\n          result.mfs.push(newResult);\n          if (result.mfs.length > 2 * limit) {\n            if (uniqueMFs) ensureUniqueMF(result);\n            result.mfs.sort((a, b) => Math.abs(a.ms.ppm) - Math.abs(b.ms.ppm));\n            result.mfs.length = limit;\n          }\n        }\n      }\n\n      isValid = true;\n      // we need to setup all the arrays if possible\n      while (currentPosition < maxPosition && currentPosition >= 0) {\n        currentAtom = possibilities[currentPosition];\n        previousAtom =\n          currentPosition === 0\n            ? currentIonization\n            : possibilities[currentPosition - 1];\n        if (currentAtom.currentCount < currentAtom.currentMaxCount) {\n          currentAtom.currentCount++;\n          updateCurrentAtom(currentAtom, previousAtom);\n          if (currentPosition < lastPosition) {\n            currentPosition++;\n            setCurrentMinMax(\n              possibilities[currentPosition],\n              possibilities[currentPosition - 1],\n              targetMassCache,\n            );\n          } else {\n            break;\n          }\n        } else {\n          currentPosition--;\n        }\n      }\n\n      if (currentPosition < 0) {\n        theEnd = true;\n      }\n    }\n  }\n\n  if (uniqueMFs) ensureUniqueMF(result);\n  result.mfs.sort((a, b) => Math.abs(a.ms.ppm) - Math.abs(b.ms.ppm));\n  if (result.mfs.length > limit) {\n    result.mfs.length = limit;\n  }\n  result.mfs.forEach((mf) => delete mf.currentCounts);\n  return result;\n}\n\n/**\n * Ensure that we have only once the same MF\n * In order to improve the speed we just consider the em\n * @param {object} result\n */\nfunction ensureUniqueMF(result) {\n  result.mfs.sort((a, b) => a.em - b.em);\n  let previousEM = 0;\n  let bestCounts = [];\n  const mfs = [];\n  next: for (let current of result.mfs) {\n    if (current.em - previousEM > 1e-8) {\n      previousEM = current.em;\n      bestCounts = current.currentCounts;\n      mfs.push(current);\n    } else {\n      for (let i = 0; i < current.currentCounts.length; i++) {\n        // better priority ???\n        if (current.currentCounts[i] > bestCounts[i]) {\n          mfs.pop();\n          mfs.push(current);\n          bestCounts = current.currentCounts;\n          continue;\n        } else if (current.currentCounts[i] < bestCounts[i]) {\n          continue next;\n        }\n      }\n    }\n  }\n  result.mfs = mfs;\n}\n\nfunction updateCurrentAtom(currentAtom, previousAtom) {\n  currentAtom.currentMonoisotopicMass =\n    previousAtom.currentMonoisotopicMass +\n    currentAtom.em * currentAtom.currentCount;\n  currentAtom.currentCharge =\n    previousAtom.currentCharge + currentAtom.charge * currentAtom.currentCount;\n  currentAtom.currentUnsaturation =\n    previousAtom.currentUnsaturation +\n    currentAtom.unsaturation * currentAtom.currentCount;\n}\n\nfunction getResult(\n  possibilities,\n  targetMass,\n  allowNeutralMolecules,\n  ionization,\n  orderMapping,\n) {\n  let lastPossibility = possibilities[possibilities.length - 1];\n\n  let result = {\n    em: lastPossibility.currentMonoisotopicMass - ionization.em,\n    unsaturation: lastPossibility.currentUnsaturation,\n    mf: '',\n    charge: lastPossibility.currentCharge - ionization.charge,\n    ionization,\n    atoms: {},\n    groups: {},\n    currentCounts: possibilities.map((possibility) => possibility.currentCount),\n  };\n\n  // we check that the first time we meet the ionization group it does not end\n  // in the final result\n\n  for (let i = 0; i < possibilities.length; i++) {\n    let possibility = possibilities[orderMapping[i]];\n    if (possibility.currentCount !== 0) {\n      if (possibility.isGroup) {\n        if (possibility.currentCount === 1) {\n          result.mf += `${possibility.mf}`;\n        } else if (possibility.mf.match(/^\\([^()]*\\)$/)) {\n          result.mf += `${possibility.mf}${possibility.currentCount}`;\n        } else {\n          result.mf += `(${possibility.mf})${possibility.currentCount}`;\n        }\n        if (result.groups[possibility.mf]) {\n          result.groups[possibility.mf] += possibility.currentCount;\n        } else {\n          result.groups[possibility.mf] = possibility.currentCount;\n        }\n      } else {\n        result.mf += possibility.mf;\n        if (possibility.currentCount !== 1) {\n          result.mf += possibility.currentCount;\n        }\n      }\n      for (let atom in possibility.atoms) {\n        if (result.atoms[atom]) {\n          result.atoms[atom] +=\n            possibility.atoms[atom] * possibility.currentCount;\n        } else {\n          result.atoms[atom] =\n            possibility.atoms[atom] * possibility.currentCount;\n        }\n      }\n    }\n  }\n  result.unsaturation = (result.unsaturation + Math.abs(result.charge)) / 2 + 1;\n  result.ms = getMsInfo(result, { targetMass, allowNeutralMolecules }).ms;\n  return result;\n}\n\nfunction setCurrentMinMax(currentAtom, previousAtom, targetMassCache) {\n  // the current min max can only be optimize if the charge will not change anymore\n  if (currentAtom.innerCharge === true || currentAtom.charge !== 0) {\n    currentAtom.currentMinCount = currentAtom.originalMinCount;\n    currentAtom.currentMaxCount = currentAtom.originalMaxCount;\n    currentAtom.currentCount = currentAtom.currentMinCount - 1;\n  } else {\n    // no more change of charge, we can optimize\n    let currentMass =\n      previousAtom !== undefined ? previousAtom.currentMonoisotopicMass : 0;\n    let currentCharge =\n      previousAtom !== undefined ? previousAtom.currentCharge : 0;\n    currentAtom.currentMinCount = Math.max(\n      Math.floor(\n        (targetMassCache.getMinMass(currentCharge) -\n          currentMass -\n          currentAtom.maxInnerMass) /\n          currentAtom.em,\n      ),\n      currentAtom.originalMinCount,\n    );\n    currentAtom.currentMaxCount = Math.min(\n      Math.floor(\n        (targetMassCache.getMaxMass(currentCharge) -\n          currentMass -\n          currentAtom.minInnerMass) /\n          currentAtom.em,\n      ),\n      currentAtom.originalMaxCount,\n    );\n    currentAtom.currentCount = currentAtom.currentMinCount - 1;\n  }\n}\n\nfunction initializePossibilities(\n  possibilities,\n  currentIonization,\n  targetMassCache,\n) {\n  for (let i = 0; i < possibilities.length; i++) {\n    if (i === 0) {\n      updateCurrentAtom(possibilities[i], currentIonization);\n      setCurrentMinMax(possibilities[i], currentIonization, targetMassCache);\n    } else {\n      updateCurrentAtom(possibilities[i], possibilities[i - 1]);\n    }\n  }\n}\n\n// eslint-disable-next-line no-unused-vars\nfunction possibilitiesToString(possibilities) {\n  return possibilities.map((a) => [\n    `mf:${a.mf}`,\n    `current:${a.currentCount}`,\n    `min:${a.currentMinCount}`,\n    `max:${a.currentMaxCount}`,\n    `charge:${a.currentCharge}`,\n  ]);\n}\n\nfunction getOrderMapping(possibilities) {\n  let mapping = possibilities.map((p, i) => ({ atom: p.mf, index: i }));\n  mapping.sort((a, b) => {\n    return atomSorter(a.atom, b.atom);\n  });\n  return mapping.map((a) => a.index);\n}\n","import { findMFsSync } from './findMFsSync';\n\n/**\n * @param {number}        targetMass - Monoisotopic mass\n * @param {object}        [options={}]\n * @param {number}        [options.maxIterations=10000000] - Maximum number of iterations\n * @param {boolean}       [options.allowNeutral=true]\n * @param {boolean}       [options.uniqueMFs=true]\n * @param {number}        [options.limit=1000] - Maximum number of results\n * @param {string}        [options.ionizations=''] - string containing a comma separated list of modifications\n * @param {string}        [options.ranges='C0-100 H0-100 O0-100 N0-100'] - range of mfs to search\n * @param {number}        [options.precision=100] - Allowed mass range based on precision\n * @param {object}        [options.filter={}]\n * @param {number}        [options.filter.minCharge=-Infinity] - Minimal charge\n * @param {number}        [options.filter.maxCharge=+Infinity] - Maximal charge\n * @param {boolean}       [options.filter.absoluteCharge=false] - If true, the charge is absolute (so between 0 and +Infinity by default)\n * @param {object}        [options.filter.unsaturation={}]\n * @param {number}        [options.filter.unsaturation.min=-Infinity] - Minimal unsaturation\n * @param {number}        [options.filter.unsaturation.max=+Infinity] - Maximal unsaturation\n * @param {boolean}       [options.filter.unsaturation.onlyInteger=false] - Integer unsaturation\n * @param {boolean}       [options.filter.unsaturation.onlyNonInteger=false] - Non integer unsaturation\n * @param {object}        [options.filter.atoms] - object of atom:{min, max}\n * @param {function}      [options.filter.callback] - a function to filter the MF\n * @returns {Promise}\n */\n\nexport async function findMFs(targetMass, options = {}) {\n  return findMFsSync(targetMass, options);\n}\n","'use strict';\n\n/**\n * Modify object a to join it with b and make the sum of each of the keys\n * @param {*} a\n * @param {*} source1\n *\n * @return {object}\n */\n\nfunction sum(target) {\n    for (var i = 1; i < arguments.length; i++) {\n        let toSum = arguments[i];\n        for (var key of Object.keys(toSum)) {\n            if (target[key]) {\n                target[key] += toSum[key];\n            } else {\n                target[key] = toSum[key];\n            }\n        }\n    }\n    return target;\n}\n\nmodule.exports = sum;\n","import { ELECTRON_MASS } from 'chemical-elements';\nimport { msemMatcher } from 'mf-matcher';\nimport { MF } from 'mf-parser';\nimport { processRange, preprocessIonizations } from 'mf-utilities';\nimport sum from 'sum-object-keys';\n/**\n * Generate all the possible combinations of molecular formula and calculate\n * for each of them the monoisotopic mass and observed monoisotopic mass (m/z)\n * In the molecular formula there may be a comment after the '$' symbol\n *\n * @param {Array}         ranges\n * @param {object}        [options={}]\n * @param {number}        [options.limit=10000000] - Maximum number of results\n * @param {boolean}       [options.estimate=false] - estimate the number of MF without filters\n * @param {boolean}       [options.canonizeMF=true] - Canonize molecular formula\n * @param {boolean}       [options.uniqueMFs=true] - Force canonization and make MF unique\n * @param {string}        [options.ionizations=''] - Comma separated list of ionizations (to charge the molecule)\n * @param {function}      [options.onStep] - Callback to do after each step\n * @param {object}        [options.filter={}]\n * @param {number}        [options.filter.minMass=0] - Minimal monoisotopic mass\n * @param {number}        [options.filter.maxMass=+Infinity] - Maximal monoisotopic mass\n * @param {number}        [options.filter.minEM=0] - Minimal neutral monoisotopic mass\n * @param {number}        [options.filter.maxEM=+Infinity] - Maximal neutral monoisotopic mass\n * @param {number}        [options.filter.precision=1000] - The precision on the experimental mass\n * @param {number}        [options.filter.targetMass] - Target mass, allows to calculate error and filter results\n * @param {number[]}      [options.filter.targetMasses] - Target masses: SORTED array of numbers\n * @param {number}        [options.filter.precision=1000] - Precision\n * @param {number}        [options.filter.minCharge=-Infinity] - Minimal charge\n * @param {number}        [options.filter.maxCharge=+Infinity] - Maximal charge\n * @param {boolean}       [options.filter.absoluteCharge=false] - If true, the charge is absolute (so between 0 and +Infinity by default)\n * @param {boolean}       [options.filter.allowNegativeAtoms=false] - Allow to have negative number of atoms\n * @param {object}        [options.filter.unsaturation={}]\n * @param {number}        [options.filter.unsaturation.min=-Infinity] - Minimal unsaturation\n * @param {number}        [options.filter.unsaturation.max=+Infinity] - Maximal unsaturation\n * @param {boolean}       [options.filter.unsaturation.onlyInteger=false] - Integer unsaturation\n * @param {boolean}       [options.filter.unsaturation.onlyNonInteger=false] - Non integer unsaturation\n * @param {object}        [options.filter.atoms] - object of atom:{min, max}\n * @param {function}      [options.filter.callback] - a function to filter the MF\n * @param {string}        [options.filterFct]\n * @param {object}        [options.links]\n * @param {boolean}       [options.links.filter] We filter all the MF that do not match the '*X'\n * @returns {Promise}\n */\n\nexport async function generateMFs(ranges, options = {}) {\n  if (!Array.isArray(ranges)) {\n    throw new Error('Ranges must be an array of string or object');\n  }\n\n  options = { ...options };\n\n  let { limit = 100000, uniqueMFs = true, estimate = false, onStep } = options;\n\n  options.filterFctVariables = {};\n  for (let i = 0; i < ranges.length; i++) {\n    const range = ranges[i];\n    if (typeof range === 'object' && range.name) {\n      options.filterFctVariables[range.name] = i;\n      ranges[i] = range.value;\n    }\n  }\n\n  if (options.filterFct) {\n    // we create a real javascript function\n    let variables = Object.keys(options.filterFctVariables);\n    variables.push('mm', 'mz', 'charge', 'unsaturation', 'atoms');\n    // eslint-disable-next-line no-new-func\n    options.filterFct = new Function(\n      ...variables,\n      `return ${options.filterFct}`,\n    );\n  }\n\n  if (uniqueMFs === true) options.canonizeMF = true;\n  if (options.canonizeMF === undefined) options.canonizeMF = true;\n  options.ionizations = preprocessIonizations(options.ionizations);\n\n  if (!Array.isArray(ranges)) {\n    throw new Error('You need to specify an array of strings or arrays');\n  }\n\n  // we allow String delimited by \". or ;\" instead of an array\n  for (let i = 0; i < ranges.length; i++) {\n    if (!Array.isArray(ranges[i])) {\n      ranges[i] = ranges[i].split(/[.,]/);\n    }\n  }\n\n  // we allow ranges in a string ...\n  // problem with ranges is that we need to know to what the range applies\n  for (let i = 0; i < ranges.length; i++) {\n    let parts = ranges[i];\n    let newParts = [];\n    for (let j = 0; j < parts.length; j++) {\n      let part = parts[j];\n      let comment = part.replace(/^([^$]*\\$|.*)/, '');\n      part = part.replace(/\\$.*/, '').replace(/\\s/g, '');\n      if (part.match(/[0-9]-[0-9-]/)) {\n        // deal with negative numbers\n        // there are ranges ... we are in trouble !\n        newParts = newParts.concat(processRange(part, comment, { limit }));\n      } else {\n        newParts.push(parts[j]); // the part with the comments !\n      }\n    }\n    ranges[i] = newParts;\n  }\n\n  if (estimate) {\n    let total = ranges.reduce(\n      (previous, current) => previous * current.length,\n      1,\n    );\n    return total * options.ionizations.length;\n  }\n\n  let results = [];\n  let sizes = [];\n  let currents = [];\n  for (let i = 0; i < ranges.length; i++) {\n    sizes.push(ranges[i].length - 1);\n    currents.push(0);\n  }\n  let position = 0;\n  let evolution = 0;\n  while (position < currents.length) {\n    if (currents[position] < sizes[position]) {\n      if (onStep) await onStep(evolution);\n      evolution++;\n      appendResult(results, currents, ranges, options);\n      currents[position]++;\n      for (let i = 0; i < position; i++) {\n        currents[i] = 0;\n      }\n      position = 0;\n    } else {\n      position++;\n    }\n    if (evolution > limit) {\n      throw new Error(\n        `You have reached the limit of ${limit}. You could still change this value using the limit option but it is likely to crash.`,\n      );\n    }\n  }\n\n  appendResult(results, currents, ranges, options);\n  if (uniqueMFs) {\n    let uniqueMFsObject = {};\n    results.forEach((result) => {\n      uniqueMFsObject[result.mf + result.ionization.mf] = result;\n    });\n    results = Object.keys(uniqueMFsObject).map((k) => uniqueMFsObject[k]);\n  }\n  results.sort((a, b) => a.em - b.em);\n  return results;\n}\n\nlet ems = {};\n\n// internal method used as a cache\nfunction getMonoisotopicMass(mfString) {\n  if (!ems[mfString]) {\n    // we need to calculate based on the mf but not very often ...\n    let mf = new MF(mfString);\n    let info = mf.getInfo();\n    ems[mfString] = {\n      em: info.monoisotopicMass,\n      charge: info.charge,\n      mw: info.mass,\n      unsaturation: (info.unsaturation - 1) * 2,\n      atoms: info.atoms,\n    };\n  }\n  return ems[mfString];\n}\n\nfunction getEMFromParts(parts, currents, ionization) {\n  let charge = 0;\n  let em = 0;\n  let mw = 0;\n  let unsaturation = 0;\n  let validUnsaturation = true;\n  let atoms = {};\n\n  for (let i = 0; i < parts.length; i++) {\n    let part = parts[i][currents[i]];\n    if (part) {\n      let info = getMonoisotopicMass(part);\n      charge += info.charge;\n      em += info.em;\n      mw += info.mw;\n      sum(atoms, info.atoms);\n      if (info.unsaturation && validUnsaturation) {\n        unsaturation += info.unsaturation;\n      }\n    }\n  }\n\n  return {\n    charge,\n    em,\n    mw,\n    ionization,\n    unsaturation: validUnsaturation ? unsaturation / 2 + 1 : undefined,\n    atoms,\n  };\n}\n\nfunction appendResult(results, currents, keys, options = {}) {\n  const { canonizeMF, filter, ionizations, links = {} } = options;\n  // this script is designed to combine molecular formula\n  // that may contain comments after a \"$\" sign\n  // therefore we should put all the comments at the ned\n\n  if (links.filter) {\n    let sharps = [];\n    for (let i = 0; i < keys.length; i++) {\n      let anchors = keys[i][currents[i]].match(/#[0-9]+/g);\n      if (anchors) sharps.push(...anchors);\n    }\n    if (sharps.length % 2 === 1) return;\n    sharps = sharps.sort();\n    for (let i = 0; i < sharps.length; i += 2) {\n      if (sharps[i] !== sharps[i + 1]) return;\n    }\n  }\n\n  for (let ionization of ionizations) {\n    let result = getEMFromParts(keys, currents, ionization);\n    if (options.filterFct) {\n      let variables = [];\n      for (let key in options.filterFctVariables) {\n        variables.push(currents[options.filterFctVariables[key]]);\n      }\n\n      variables.push(\n        result.em,\n        (result.em + ionization.em - ionization.charge * ELECTRON_MASS) /\n          Math.abs(ionization.charge),\n        result.charge + result.ionization.charge,\n        result.unsaturation,\n        result.atoms,\n      );\n      if (!options.filterFct.apply(null, variables)) continue;\n    }\n\n    result.parts = [];\n    result.mf = '';\n\n    let comments = [];\n    for (let i = 0; i < keys.length; i++) {\n      let key = keys[i][currents[i]];\n      if (key) {\n        if (key.indexOf('$') > -1) {\n          comments.push(key.replace(/^[^$]*\\$/, ''));\n          key = key.replace(/\\$.*/, '');\n        }\n        result.parts[i] = key;\n        result.mf += key;\n      }\n    }\n\n    if (comments.length > 0) {\n      result.comment = comments.join(' ');\n    }\n\n    let match = msemMatcher(result, filter);\n    if (!match) continue;\n    result.ms = match.ms;\n    result.ionization = match.ionization;\n\n    if (canonizeMF) {\n      result.mf = new MF(result.mf).toMF();\n    }\n\n    results.push(result);\n  }\n}\n","/**\n *\n * @param {import('openchemlib').Molecule} molecule An instance of a molecule\n * @param {object} [options={}]\n * @param {object} [options.OCL] openchemlib library\n */\nexport function makeRacemic(molecule) {\n    const { Molecule } = molecule.getOCL();\n    // if we don't calculate this we have 2 epimers\n    molecule.ensureHelperArrays(Molecule.cHelperCIP);\n    // we need to make one group \"AND\" for chiral (to force to racemic, this means diastereotopic and not enantiotopic)\n    for (let i = 0; i < molecule.getAllAtoms(); i++) {\n        if (molecule.getAtomParity(i) !== Molecule.cAtomParityNone) {\n            molecule.setAtomESR(i, Molecule.cESRTypeAnd, 0); // changed to group 0; TLS 9.Nov.2015\n        }\n    }\n    // after the change we need to recalculate the CIP\n    molecule.ensureHelperArrays(Molecule.cHelperCIP);\n}\n//# sourceMappingURL=makeRacemic.js.map","let xAtomicNumber = 0;\n/**\n * Returns the atomic number of the X atom\n * @param {import('openchemlib').Molecule} molecule An instance of a molecule\n * @returns\n */\nexport function getXAtomicNumber(molecule) {\n    if (!xAtomicNumber) {\n        const OCL = molecule.getOCL();\n        xAtomicNumber = OCL.Molecule.getAtomicNoFromLabel('X', OCL.Molecule.cPseudoAtomX);\n    }\n    return xAtomicNumber;\n}\n//# sourceMappingURL=getXAtomicNumber.js.map","import { getXAtomicNumber } from './getXAtomicNumber';\n/**\n * Tag an atom to be able to visualize it\n */\nexport function tagAtom(molecule, iAtom) {\n    const customLabel = `${molecule.getAtomLabel(iAtom)}*`;\n    molecule.setAtomCustomLabel(iAtom, customLabel);\n    if (molecule.getAtomicNo(iAtom) === 1) {\n        molecule.setAtomicNo(iAtom, getXAtomicNumber(molecule));\n    }\n    else {\n        // we can not use X because we would have problems with valencies if it is\n        // expanded hydrogens or not\n        // we can not only use a custom label because it does not count for the canonisation\n        molecule.setAtomMass(iAtom, molecule.getAtomMass(iAtom) + 5);\n    }\n    return customLabel;\n}\n//# sourceMappingURL=tagAtom.js.map","/**\n * Check if a specific atom is a sp3 carbon\n * @param {import('openchemlib').Molecule} molecule\n * @param {number} atomID\n */\nexport function isCsp3(molecule, atomID) {\n    if (molecule.getAtomicNo(atomID) !== 6)\n        return false;\n    if (molecule.getAtomCharge(atomID) !== 0)\n        return false;\n    if (molecule.getImplicitHydrogens(atomID) + molecule.getConnAtoms(atomID) !==\n        4) {\n        return false;\n    }\n    return true;\n}\n//# sourceMappingURL=isCsp3.js.map","import { isCsp3 } from '../util/isCsp3.js';\nimport { makeRacemic } from '../util/makeRacemic.js';\nexport const FULL_HOSE_CODE = 1;\nexport const HOSE_CODE_CUT_C_SP3_SP3 = 2;\n/**\n * Returns the hose code for specific atom numbers\n * @param {import('openchemlib').Molecule} molecule - The OCL molecule with expandedImplicitHydrogens and ensureHeterotopicChiralBonds\n * @param {object} [options={}]\n * @param {string[]} [options.allowedCustomLabels] Array of the custom labels that are considered as root atoms. By default all atoms having a customLabel\n * @param {number} [options.minSphereSize=0] Smallest hose code sphere\n * @param {number} [options.maxSphereSize=4] Largest hose code sphere\n * @param {number} [options.kind=FULL_HOSE_CODE] Kind of hose code, default usual sphere\n */\nexport function getHoseCodesForAtomsInternal(molecule, options = {}) {\n    const OCL = molecule.getOCL();\n    const { allowedCustomLabels, minSphereSize = 0, maxSphereSize = 4, kind = FULL_HOSE_CODE, } = options;\n    // this force reordering of atoms in order to have hydrogens at the end\n    molecule.ensureHelperArrays(OCL.Molecule.cHelperNeighbours);\n    const rootAtoms = [];\n    for (let j = 0; j < molecule.getAllAtoms(); j++) {\n        if (allowedCustomLabels?.includes(molecule.getAtomCustomLabel(j)) ||\n            molecule.getAtomCustomLabel(j)) {\n            rootAtoms.push(j);\n        }\n    }\n    const fragment = new OCL.Molecule(0, 0);\n    const results = [];\n    let min = 0;\n    let max = 0;\n    const atomMask = new Array(molecule.getAllAtoms());\n    const atomList = new Array(molecule.getAllAtoms());\n    for (let sphere = 0; sphere <= maxSphereSize; sphere++) {\n        if (max === 0) {\n            for (const rootAtom of rootAtoms) {\n                atomList[max] = rootAtom;\n                atomMask[rootAtom] = true;\n                max++;\n            }\n        }\n        else {\n            let newMax = max;\n            for (let i = min; i < max; i++) {\n                const atom = atomList[i];\n                for (let j = 0; j < molecule.getAllConnAtoms(atom); j++) {\n                    const connAtom = molecule.getConnAtom(atom, j);\n                    if (!atomMask[connAtom]) {\n                        switch (kind) {\n                            case FULL_HOSE_CODE:\n                                atomMask[connAtom] = true;\n                                atomList[newMax++] = connAtom;\n                                break;\n                            case HOSE_CODE_CUT_C_SP3_SP3:\n                                if (!(isCsp3(molecule, atom) && isCsp3(molecule, connAtom))) {\n                                    atomMask[connAtom] = true;\n                                    atomList[newMax++] = connAtom;\n                                }\n                                break;\n                            default:\n                                throw new Error('getHoseCoesForAtom unknown kind');\n                        }\n                    }\n                }\n            }\n            min = max;\n            max = newMax;\n        }\n        molecule.copyMoleculeByAtoms(fragment, atomMask, true, null);\n        if (sphere >= minSphereSize) {\n            makeRacemic(fragment);\n            results.push(fragment.getCanonizedIDCode(OCL.Molecule.CANONIZER_ENCODE_ATOM_CUSTOM_LABELS));\n        }\n    }\n    return results;\n}\n//# sourceMappingURL=getHoseCodesForAtomsInternal.js.map","import { getXAtomicNumber } from '../util/getXAtomicNumber.js';\n/**\n * Returns the atoms that are chiral or pseudo chiral.\n * There could be some issues if the original molecule lacks chiral bonds.\n * The function will add them and this could lead to some issues in the case of pseudochiral atoms.\n * @param {import('openchemlib').Molecule} molecule\n * @returns {number[]}\n */\nexport function getChiralOrHeterotopicCarbons(molecule) {\n    const { Molecule } = molecule.getOCL();\n    const xAtomicNumber = getXAtomicNumber(molecule);\n    const internalMolecule = molecule.getCompactCopy();\n    // hydrogens may be diastereotopic, we need to add them\n    internalMolecule.addImplicitHydrogens();\n    for (let i = 0; i < internalMolecule.getAllAtoms(); i++) {\n        // hydrogens are not taken into account during canonization, we need to change them with an atom with a valence of 1\n        if (internalMolecule.getAtomicNo(i) === 1) {\n            internalMolecule.setAtomicNo(i, xAtomicNumber);\n        }\n    }\n    addPossibleChiralBonds(internalMolecule);\n    internalMolecule.ensureHelperArrays(Molecule.cHelperSymmetryStereoHeterotopicity);\n    const atoms = [];\n    for (let i = 0; i < molecule.getAllAtoms(); i++) {\n        if (internalMolecule.getAtomicNo(i) === xAtomicNumber) {\n            continue;\n        }\n        if (molecule.getAtomicNo(i) !== internalMolecule.getAtomicNo(i)) {\n            throw new Error('getChiralOrHeterotopicCarbons: mismatching atomic numbers');\n        }\n        if (internalMolecule.getAtomicNo(i) !== 6) {\n            continue;\n        }\n        const neighbourSymmetries = getNeighbourSymmetries(internalMolecule, i);\n        if (neighbourSymmetries.length === 4) {\n            atoms.push(i);\n        }\n    }\n    return atoms;\n}\nfunction addPossibleChiralBonds(molecule) {\n    const { Molecule } = molecule.getOCL();\n    molecule.ensureHelperArrays(Molecule.cHelperSymmetryStereoHeterotopicity);\n    for (let i = 0; i < molecule.getAtoms(); i++) {\n        if (molecule.getAtomicNo(i) !== 6)\n            continue;\n        if (molecule.getStereoBond(i) >= 0)\n            continue;\n        const neighbourSymmetries = getNeighbourSymmetries(molecule, i);\n        if (neighbourSymmetries.length <= 2)\n            continue;\n        const stereoBond = molecule.getAtomPreferredStereoBond(i);\n        if (stereoBond !== -1) {\n            molecule.setBondType(stereoBond, Molecule.cBondTypeUp);\n            if (molecule.getBondAtom(1, stereoBond) === i) {\n                const connAtom = molecule.getBondAtom(0, stereoBond);\n                molecule.setBondAtom(0, stereoBond, i);\n                molecule.setBondAtom(1, stereoBond, connAtom);\n            }\n            // To me it seems that we have to add all stereo centers into AND group 0. TLS 9.Nov.2015\n            molecule.setAtomESR(i, Molecule.cESRTypeAnd, 0);\n        }\n    }\n}\nfunction getNeighbourSymmetries(molecule, iAtom) {\n    const neighbourSymmetries = [];\n    for (let j = 0; j < molecule.getAllConnAtoms(iAtom); j++) {\n        const connAtom = molecule.getConnAtom(iAtom, j);\n        const symmetryRank = molecule.getSymmetryRank(connAtom);\n        if (!neighbourSymmetries.includes(symmetryRank)) {\n            neighbourSymmetries.push(molecule.getSymmetryRank(connAtom));\n        }\n    }\n    return neighbourSymmetries;\n}\n//# sourceMappingURL=getChiralOrHeterotopicCarbons.js.map","import { ensureHeterotopicChiralBonds } from '../diastereotopic/ensureHeterotopicChiralBonds.js';\nimport { tagAtom } from '../util/tagAtom';\nimport { getHoseCodesForAtomsInternal } from './getHoseCodesForAtomsInternal.js';\nexport const FULL_HOSE_CODE = 1;\nexport const HOSE_CODE_CUT_C_SP3_SP3 = 2;\n/**\n * Returns the hose code for specific atom numbers\n * @param {import('openchemlib').Molecule} originalMolecule - The OCL molecule to be fragmented\n * @param {number[]} rootAtoms\n * @param {object} [options={}]\n * @param {number} [options.minSphereSize=0] Smallest hose code sphere\n * @param {number} [options.maxSphereSize=4] Largest hose code sphere\n * @param {number} [options.kind=FULL_HOSE_CODE] Kind of hose code, default usual sphere\n */\nexport function getHoseCodesForAtoms(originalMolecule, rootAtoms = [], options = {}) {\n    const { minSphereSize = 0, maxSphereSize = 4, kind = FULL_HOSE_CODE, } = options;\n    const molecule = originalMolecule.getCompactCopy();\n    // those 2 lines should be done only once\n    molecule.addImplicitHydrogens();\n    ensureHeterotopicChiralBonds(molecule);\n    const allowedCustomLabels = [];\n    for (const rootAtom of rootAtoms) {\n        allowedCustomLabels.push(tagAtom(molecule, rootAtom));\n    }\n    return getHoseCodesForAtomsInternal(molecule, {\n        minSphereSize,\n        maxSphereSize,\n        allowedCustomLabels,\n        kind,\n    });\n}\n//# sourceMappingURL=getHoseCodesForAtoms.js.map","import { getChiralOrHeterotopicCarbons } from './getChiralOrHeterotopicCarbons.js';\n/**\n * This function will add missing chiral bonds on carbons ensure that all enantiotopic\n * or diastereotopic atoms can be identified uniquely\n * @param {import('openchemlib').Molecule} molecule\n * @param {object} [options={}]\n * @param {number} [options.esrType=Molecule.cESRTypeAnd]\n * @param {boolean} [options.atLeastThreeAtoms=true] - if true, only carbons with at least three atoms will be considered\n */\nexport function ensureHeterotopicChiralBonds(molecule, options = {}) {\n    const { Molecule } = molecule.getOCL();\n    const { esrType = Molecule.cESRTypeAnd, atLeastThreeAtoms = true } = options;\n    molecule.ensureHelperArrays(Molecule.cHelperBitNeighbours);\n    const heterotopicCarbons = getChiralOrHeterotopicCarbons(molecule);\n    for (const i of heterotopicCarbons) {\n        if (atLeastThreeAtoms && molecule.getAllConnAtoms(i) < 3)\n            continue;\n        if (molecule.getStereoBond(i) === -1) {\n            const stereoBond = molecule.getAtomPreferredStereoBond(i);\n            if (stereoBond !== -1) {\n                molecule.setBondType(stereoBond, Molecule.cBondTypeUp);\n                if (molecule.getBondAtom(1, stereoBond) === i) {\n                    const connAtom = molecule.getBondAtom(0, stereoBond);\n                    molecule.setBondAtom(0, stereoBond, i);\n                    molecule.setBondAtom(1, stereoBond, connAtom);\n                }\n                // To me it seems that we have to add all stereo centers into AND group 0. TLS 9.Nov.2015\n                molecule.setAtomESR(i, esrType, 0);\n            }\n        }\n    }\n}\n//# sourceMappingURL=ensureHeterotopicChiralBonds.js.map","import { atomSorter } from 'atom-sorter';\n/**\n * Calculate the molecular formula in 'chemcalc' notation taking into account fragments, isotopes and charges\n * @param {import('openchemlib').Molecule} molecule an instance of OCL.Molecule\n * @returns {object}\n */\nexport function getMF(molecule) {\n    const entries = molecule.getFragments();\n    const result = {};\n    let parts = [];\n    const allAtoms = [];\n    entries.forEach((entry) => {\n        const mf = getFragmentMF(entry, allAtoms);\n        parts.push(mf);\n    });\n    const counts = {};\n    for (const part of parts) {\n        if (!counts[part])\n            counts[part] = 0;\n        counts[part]++;\n    }\n    parts = [];\n    for (const key of Object.keys(counts).sort()) {\n        if (counts[key] > 1) {\n            parts.push(counts[key] + key);\n    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reactantInfo = {\n        molfile: molecule.toMolfile(),\n        idCode: molecule.getIDCode(),\n        mf: getMF(molecule).mf,\n        em,\n        mz,\n        charge,\n    };\n    moleculesInfo.set(molecule, reactantInfo);\n    return reactantInfo;\n}\n//# sourceMappingURL=getReactantInfo.js.map","/**\n * Returns the charge of a molecule\n * @param {import('openchemlib').Molecule} molecule an instance of OCL.Molecule\n * @returns {number}\n */\nexport function getCharge(molecule) {\n    let charge = 0;\n    for (let i = 0; i < molecule.getAllAtoms(); i++) {\n        charge += molecule.getAtomCharge(i);\n    }\n    return charge;\n}\n//# sourceMappingURL=getCharge.js.map","import { getInfo } from './getReactantInfo.js';\n/**\n * @description apply one reaction to one reactant\n * @param {*} reactants either a molecule or an array of molecules\n * @param {Array<Object>} reactions rxnCode of the reaction\n * @param {Object} options options to apply the reaction\n * @param {number} options.currentDepth current depth of the recursion\n * @param {number} options.maxDepth max depth of the recursion\n * @param {number} options.limitReactions limit the number of reactions\n * @param {Object} options.stats stats of the recursion\n * @param {number} options.stats.counter number of reactions\n * @param {Map} options.moleculesInfo map of molecules info\n * @param {Set} options.processedMolecules set of processed molecules\n * @param {Array} options.trees array of trees of previous recursions\n * @param {*} options.OCL OCL object\n * @returns {Array} array of results\n */\nexport function applyOneReactantReaction(reactants, reactions, options) {\n    const { currentDepth, maxDepth, moleculesInfo, processedMolecules, trees } = options;\n    const todoNextDepth = [];\n    // if the current depth is greater than the max depth, we stop the recursion and return an empty array\n    if (currentDepth >= maxDepth)\n        return [];\n    // if the reactants is not an array, we make it an array\n    if (!Array.isArray(reactants)) {\n        reactants = [reactants];\n    }\n    const { OCL } = options;\n    for (const reactant of reactants) {\n        const idCode = reactant.getIDCode();\n        // check if the reactant has already been processed\n        if (processedMolecules.has(idCode)) {\n            continue;\n        }\n        else {\n            processedMolecules.add(idCode);\n        }\n        for (const reaction of reactions) {\n            if (options.stats.counter >= options.limitReactions) {\n                return [];\n            }\n            options.stats.counter++;\n            const reactor = new OCL.Reactor(reaction.oclReaction);\n            // isMatching is true if the reactant is matching the reaction else we continue to the next reaction\n            const isMatching = Boolean(reactor.setReactant(0, reactant));\n            if (isMatching) {\n                // get the products of the reaction\n                const oneReactionProducts = reactor.getProducts();\n                for (const oneReactionProduct of oneReactionProducts) {\n                    const products = [];\n                    for (const reactionProduct of oneReactionProduct) {\n                        // get the info of the product (molfile, idCode, mf)\n                        const moleculeInfo = getInfo(reactionProduct, moleculesInfo);\n                        // if the product has not been processed yet, we add it to the list of products and we add it to the list of todoNextDepth\n                        if (!processedMolecules.has(moleculeInfo.idCode)) {\n                            const product = {\n                                ...moleculeInfo,\n                                children: [],\n                            };\n                            products.push(product);\n                            todoNextDepth.push(() => {\n                                return applyOneReactantReaction(reactionProduct, reactions, {\n                                    ...options,\n                                    currentDepth: options.currentDepth + 1,\n                                    trees: product.children,\n                                });\n                            });\n                        }\n                    }\n                    // if there is at least one product, we add the reaction to the results\n                    if (products.length > 0) {\n                        // eslint-disable-next-line no-unused-vars\n                        const { oclReaction, needToBeCharged, ...reactionWithoutOCL } = reaction;\n                        const oneReaction = {\n                            reaction: reactionWithoutOCL,\n                            reactant: getInfo(reactant, moleculesInfo),\n                            products,\n                        };\n                        trees.push(oneReaction);\n                    }\n                }\n            }\n        }\n    }\n    // by 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             markProduct(idCode, child);\n            }\n        }\n    }\n}\n/**\n * @description Check if the child branch has a flag true in its products\n * @param {Object} tree Current branch of the tree of reactions\n * @returns {boolean} true if the tree has a flag true in its products\n */\nfunction childHasFlag(tree) {\n    for (const product of tree.products) {\n        if (product.flag) {\n            return true;\n        }\n        if (product.children.length > 0) {\n            for (const child of product.children) {\n                if (childHasFlag(child)) {\n                    return true;\n                }\n            }\n        }\n    }\n    return false;\n}\n/**\n *@description Cut the branches of the tree that don't have a flag true in their products\n * @param {Object} tree Current branch of the tree of reactions\n * @param {Array} reactions Array of rxnCode of reactions\n */\nfunction cutBranches(tree, reactions) {\n    reactions.push(tree.reaction.rxnCode);\n 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groupProductTrees(copyTree, results, tree);\n    }\n    return Object.values(results);\n}\n/**\n * @description For a given reaction tree, recursively group the branches by idCode of the product\n * @param {Object} currentBranch Current recursive branch of the tree of reactions\n * @param {Object} results Object with the branches grouped by idCode\n * @param {Object} originalBranch Original tree of reactions (not modified)\n */\nfunction groupProductTrees(currentBranch, results, originalBranch) {\n    for (const product of currentBranch.products) {\n        // This way is faster than structuredClone\n        const copyBranch = JSON.parse(JSON.stringify(originalBranch));\n        const reactions = [];\n        // Trim the tree to get all branches leading to the idCode of the product\n        trimTree(product.idCode, copyBranch, reactions);\n        const nbReactions = reactions.length;\n        if (results[product.idCode] === undefined) {\n            results[product.idCode] = {\n                idCode: product.idCode,\n                mf: product.mf,\n                em: product.em,\n                mz: product.mz,\n                charge: product.charge,\n                trees: [copyBranch],\n                reactions,\n                minSteps: nbReactions,\n            };\n        }\n        else {\n            results[product.idCode].trees.push(copyBranch);\n            if (nbReactions < results[product.idCode].minSteps) {\n                results[product.idCode].minSteps = nbReactions;\n                results[product.idCode].reactions = reactions;\n            }\n        }\n        if (product.children.length > 0) {\n            for (const child of product.children) {\n                groupProductTrees(child, results, originalBranch);\n            }\n        }\n    }\n}\n//# sourceMappingURL=groupTreesByProducts.js.map","import { applyOneReactantReaction } from './utils/applyOneReactantReaction.js';\nimport { groupTreesByProducts } from './utils/groupTreesByProducts.js';\n/**\n * Create reaction trees of products based on reactions and reactants\n * @param {import('openchemlib').Molecule[]} reactants\n * @param {Array} reactions array of reactions objects with rxnCode, label and needChargeToReact\n * @param {object} options options to apply the reaction\n * @param {number} [options.maxDepth=5] max depth of the recursion\n * @param {number} [options.limitReactions=200] limit the number of reactions to apply\n * @param {boolean} [options.getProductsTrees=false] if true, the returned object will have a products property with the products trees grouped by idCode else it will be an empty array\n * @returns {Object} The returned object has two properties:\n * - trees: the tree of reactions\n * - products: reactions trees grouped by product idCode\n */\nexport function applyReactions(reactants, reactions, options = {}) {\n    // Reaction are applied recursively until maximal tree depth is reached (default 10)\n    const { maxDepth = 5, limitReactions = 200, getProductsTrees = false, } = options;\n    const moleculesInfo = new Map();\n    const processedMolecules = new Set();\n    if (!reactants.length) {\n        throw new Error('Can not extract OCL because there is no reactants');\n    }\n    // get the OCL object from the first reactant\n    const OCL = reactants[0].getOCL();\n    reactions = appendOCLReaction(reactions, OCL);\n    const stats = { counter: 0 };\n    const trees = [];\n    // Start the recursion by applying the first level of reactions\n    let todoCurrentLevel = applyOneReactantReaction(reactants, reactions, {\n        OCL,\n        currentDepth: 0,\n        moleculesInfo,\n        processedMolecules,\n        maxDepth,\n        trees,\n        stats,\n        limitReactions,\n    });\n    do {\n        const nexts = [];\n        for (const todo of todoCurrentLevel) {\n            nexts.push(todo());\n        }\n        todoCurrentLevel = nexts.flat();\n    } while (todoCurrentLevel.length > 0);\n    let products;\n    if (getProductsTrees) {\n        products = groupTreesByProducts(trees);\n    }\n    else {\n        products = [];\n    }\n    return { trees, products, stats };\n}\n/**\n * @description Append the OCL reaction to the reaction object\n * @param {Array} reactions array of reactions objects with rxnCode and label\n * @param {Object} OCL OCL object\n * @returns {Array} array of reactions objects with rxnCode, label and oclReaction (a decoded version of rxnCode reaction)\n */\nfunction appendOCLReaction(reactions, OCL) {\n    reactions = JSON.parse(JSON.stringify(reactions)).filter((reaction) => reaction.rxnCode);\n    for (const reaction of reactions) {\n        reaction.oclReaction = OCL.ReactionEncoder.decode(reaction.rxnCode);\n    }\n    return reactions;\n}\n//# sourceMappingURL=applyReactions.js.map","import { getRingsInfo } from './getRingsInfo.js';\n/**\n * This function returns an array of objects with all combination of 2 bonds who can be fragmented in the same ring\n * @param {import('openchemlib').Molecule} molecule - The OCL molecule to be fragmented\n * @returns All combination of 2 bonds who can be fragmented in the same ring\n */\nexport function getFragmentableRings(molecule) {\n  let ringsInfo = getRingsInfo(molecule);\n  let fragmentableRingBonds = [];\n  for (let ring = 0; ring < ringsInfo.length; ring++) {\n    let bonds = ringsInfo[ring].bonds;\n    // we prevent to consecutive bonds to be cleaved\n    for (let first = 0; first < bonds.length; first++) {\n      let end = first === 0 ? bonds.length - 1 : bonds.length;\n      for (let second = first + 2; second < end; second++) {\n        if (\n          bonds[first].order === 1 &&\n          bonds[second].order === 1 &&\n          !bonds[first].isAromatic &&\n          !bonds[second].isAromatic &&\n          bonds[first].nbRings < 2 &&\n          bonds[second].nbRings < 2\n        ) {\n          fragmentableRingBonds.push({ bonds: [bonds[first], bonds[second]] });\n        }\n      }\n    }\n  }\n\n  return fragmentableRingBonds;\n}\n","/**\n * This function returns ringBond, and object that contains information about the bonds of each ring\n * @param {import('openchemlib').Molecule} molecule - The OCL molecule to be fragmented\n * @returns Information of ring bonds for each ring in the molecule\n */\n\nexport function getRingsInfo(molecule) {\n  const ringSet = molecule.getRingSet();\n  let ringBonds = [];\n  // create a new array with the length of the number of bonds in the molecule and fills it with 0\n  let nbRingForBonds = new Array(molecule.getAllBonds()).fill(0);\n\n  for (let i = 0; i < ringSet.getSize(); i++) {\n    for (let bond of ringSet.getRingBonds(i)) {\n      nbRingForBonds[bond]++;\n    }\n  }\n\n  for (let i = 0; i < ringSet.getSize(); i++) {\n    ringBonds.push({\n      bonds: ringSet.getRingBonds(i).map((bondIndex) => ({\n        index: bondIndex,\n        ringIndex: i,\n        nbRings: nbRingForBonds[bondIndex], // in how many rings this bond is included\n        order: molecule.getBondOrder(bondIndex),\n        isAromatic: ringSet.isAromatic(i),\n        atom1: molecule.getBondAtom(0, bondIndex),\n        atom2: molecule.getBondAtom(1, bondIndex),\n      })),\n    });\n  }\n\n  return ringBonds;\n}\n","import { MF } from 'mf-parser';\nimport { getMF } from 'openchemlib-utils';\n\nimport { fragmentAcyclicBonds } from './fragmentAcyclicBonds.js';\nimport { fragmentRings } from './fragmentRings.js';\n\n/**\n * This function fragment both acyclic and cyclic bonds of the molecule\n * @param {import('openchemlib').Molecule} molecule - The OCL molecule to be fragmented\n * @param {object} [options={}]\n * @param {boolean} [options.calculateHoseCodes=false] - calculating hose code for bonds is quite time consuming\n * @param {boolean} [options.cyclic=true] - calculate cyclic fragmentation\n * @param {boolean} [options.acyclic=true] - calculate acyclic fragmentation\n * @param {boolean} [options.full=true] - calculate the molecular formula of the full molecule\n * @returns {object} In-Silico fragmentation results\n */\nexport function fragment(molecule, options = {}) {\n  const {\n    cyclic = true,\n    acyclic = true,\n    full = true,\n    calculateHoseCodes = false,\n  } = options;\n\n  const parentIDCode = molecule.getIDCode();\n\n  let molecularIon = full\n    ? [\n        {\n          idCode: parentIDCode,\n          parentIDCode,\n          mfInfo: new MF(getMF(molecule).mf).getInfo(),\n          fragmentType: 'molecule',\n        },\n      ]\n    : [];\n  let acyclicBonds = acyclic\n    ? fragmentAcyclicBonds(molecule, { calculateHoseCodes, parentIDCode })\n    : [];\n  let cyclicBonds = cyclic\n    ? fragmentRings(molecule, { calculateHoseCodes, parentIDCode })\n    : [];\n  let result = [...molecularIon, ...acyclicBonds, ...cyclicBonds];\n\n  return result.sort(\n    (a, b) => a.mfInfo.monoisotopicMass - b.mfInfo.monoisotopicMass,\n  );\n}\n","import { MF } from 'mf-parser';\nimport { getMF, getHoseCodesForAtoms } from 'openchemlib-utils';\n\n/**\n * The function performs the fragmentation of all single linear bonds\n * @param {import('openchemlib').Molecule} molecule - The OCL molecule to be fragmented\n * @param {object} [options={}]\n * @param {boolean} [options.calculateHoseCodes=false] - calculating hose code for bonds is quite time consuming\n * @param {string} [options.parentIDCode=molecule.getIDCode()]\n * @returns Results fragmentation of acyclic bonds\n */\n\nexport function fragmentAcyclicBonds(molecule, options = {}) {\n  const { Molecule } = molecule.getOCL();\n  const { calculateHoseCodes, parentIDCode = molecule.getIDCode() } = options;\n  let atoms = [];\n  // Prepare object with lenght equal to number of atoms\n  for (let i = 0; i < molecule.getAllAtoms(); i++) {\n    let atom = {};\n    atoms.push(atom);\n    atom.i = i;\n    atom.links = [];\n  }\n  let bonds = [];\n  for (let i = 0; i < molecule.getAllBonds(); i++) {\n    let bond = {};\n    // get informations of bonds\n    bond.index = i;\n    bond.order = molecule.getBondOrder(i); // dative, single , double, triple\n    bond.atom1 = molecule.getBondAtom(0, i); // atom 1 index\n    bond.atom2 = molecule.getBondAtom(1, i); // atom 2 index\n\n    bond.type = molecule.getBondType(i); // cBondTypeSingle,cBondTypeDouble,cBondTypeTriple,cBondTypeDelocalized\n    bond.isAromatic = molecule.isAromaticBond(i);\n    bond.isRingBond = molecule.isRingBond(i);\n\n    // Mapping of bonds to be fragmented, only if they are single bond not aromatic and cyclic the mapping occurs\n    if (\n      bond.isAromatic ||\n      bond.type > 1 ||\n      bond.isRingBond ||\n      bond.order !== 1\n    ) {\n      continue;\n    } else {\n      bond.selected = true;\n      atoms[bond.atom1].links.push(bond.atom2);\n      atoms[bond.atom2].links.push(bond.atom1);\n    }\n    bonds.push(bond);\n  }\n\n  let brokenMolecule = {};\n  let fragmentMap = [];\n  let nbFragments = [];\n  let results = [];\n\n  for (let bond of bonds) {\n    if (bond.selected) {\n      // if bond.selected is true (line 46) the molecule will be fragmented\n      brokenMolecule[bond.index] = molecule.getCompactCopy(); // get a copy of the molecule\n      brokenMolecule[bond.index].setAtomCustomLabel(bond.atom1, '*');\n      brokenMolecule[bond.index].setAtomCustomLabel(bond.atom2, '*');\n      brokenMolecule[bond.index].markBondForDeletion(bond.index); //mark bond to be deleted\n      // the function returns an array of map\n\n      brokenMolecule[bond.index].deleteMarkedAtomsAndBonds(); // delete marked bonds\n    }\n    nbFragments = brokenMolecule[bond.index].getFragmentNumbers(fragmentMap);\n    // only if there are 2 fragments code can continue\n    if (nbFragments === 2) {\n      for (let i = 0; i < nbFragments; i++) {\n        const result = {};\n        if (calculateHoseCodes) {\n          result.hoses = getHoseCodesForAtoms(molecule, [\n            bond.atom1,\n            bond.atom2,\n          ]);\n        }\n\n        result.atomMap = [];\n\n        // assign fragment id to index of for loop\n        let includeAtom = fragmentMap.map((id) => {\n          return id === i;\n        });\n\n        let fragment = new Molecule(100, 100);\n\n        let atomMap = [];\n\n        brokenMolecule[bond.index].copyMoleculeByAtoms(\n          fragment,\n          includeAtom,\n          false,\n          atomMap,\n        );\n\n        for (let j = 0; j < atomMap.length; j++) {\n          if (fragment.getAtomCustomLabel(atomMap[j]) === '*') {\n            result.atomMap.push(j);\n            if (atoms[j].links.length > 0) {\n              fragment.addBond(atomMap[j], fragment.addAtom(154));\n            }\n          }\n        }\n        fragment.removeAtomCustomLabels();\n        fragment.setFragment(false);\n        result.idCode = fragment.getIDCode();\n        result.parentIDCode = parentIDCode;\n        result.cleavedBonds = [\n          {\n            index: bond.index,\n            order: bond.order,\n            atom1: bond.atom1,\n            atom2: bond.atom2,\n          },\n        ];\n        result.mfInfo = new MF(\n          getMF(fragment).mf.replace(/R[1-9]?/, ''),\n        ).getInfo();\n        result.fragmentType = 'acyclic';\n\n        results.push(result);\n      }\n    }\n  }\n  // sort result in order fragment 1-2; 3-4; ...\n  results = results.sort((a, b) => {\n    return a.mfInfo.monoisotopicMass - b.mfInfo.monoisotopicMass;\n  });\n\n  return results;\n}\n","import { MF } from 'mf-parser';\nimport { getMF, getHoseCodesForAtoms } from 'openchemlib-utils';\n\nimport { getFragmentableRings } from './utils/getFragmentableRings.js';\n\n/**\n * The function performs the fragmentation of all single ring bonds not belonging to aromatic rings\n * @param {import('openchemlib').Molecule} molecule - The OCL molecule to be fragmented\n * @param {object} [options={}]\n * @param {boolean} [options.calculateHoseCodes=false] - calculating hose code for bonds is quite time consuming\n * @param {string} [options.parentIDCode=molecule.getIDCode()]\n * @returns  Array with results for the fragmentation of ring bonds\n */\n\nexport function fragmentRings(molecule, options = {}) {\n  const { Molecule } = molecule.getOCL();\n  const { calculateHoseCodes, parentIDCode = molecule.getIDCode() } = options;\n\n  const fragmentableRingBonds = getFragmentableRings(molecule);\n\n  let fragmentationResults = [];\n\n  for (let ringBonds of fragmentableRingBonds) {\n    const brokenMolecule = molecule.getCompactCopy();\n    let fragmentMap = [];\n    let atoms = [];\n    let rLinks = {};\n    for (let bond of ringBonds.bonds) {\n      brokenMolecule.markBondForDeletion(bond.index);\n      brokenMolecule.setAtomCustomLabel(bond.atom1, '*');\n      brokenMolecule.setAtomCustomLabel(bond.atom2, '*');\n      atoms.push(bond.atom1);\n      atoms.push(bond.atom2);\n      rLinks[bond.atom1] = bond.atom2;\n      rLinks[bond.atom2] = bond.atom1;\n    }\n    brokenMolecule.deleteMarkedAtomsAndBonds();\n\n    const nbFragments = brokenMolecule.getFragmentNumbers(fragmentMap);\n\n    for (let i = 0; i < nbFragments; i++) {\n      const result = {};\n      if (calculateHoseCodes) {\n        result.hoses = getHoseCodesForAtoms(molecule, atoms);\n      }\n\n      result.atomMap = [];\n      let includeAtom = fragmentMap.map((id) => {\n        return id === i;\n      });\n      let fragment = new Molecule(0, 0);\n      let atomMap = [];\n\n      brokenMolecule.copyMoleculeByAtoms(fragment, includeAtom, false, atomMap);\n      // if includeAtom has more then 3 true all true should become false and all false should become true\n\n      for (let j = 0; j < atomMap.length; j++) {\n        if (fragment.getAtomCustomLabel(atomMap[j]) === '*') {\n          result.atomMap.push(j);\n          if (rLinks[j] !== undefined) {\n            fragment.addBond(atomMap[j], fragment.addAtom(154));\n          }\n        }\n      }\n      fragment.removeAtomCustomLabels();\n\n      fragment.setFragment(false);\n      //      console.log(fragment.getIDCode(), getMF(fragment).mf);\n      result.idCode = fragment.getIDCode();\n      result.parentIDCode = parentIDCode;\n      result.cleavedBonds = ringBonds.bonds;\n      result.mfInfo = new MF(\n        getMF(fragment).mf.replace(/R[1-9]?/, ''),\n      ).getInfo();\n      result.fragmentType = 'cyclic';\n      fragmentationResults.push(result);\n    }\n  }\n\n  fragmentationResults = fragmentationResults.sort((a, b) => {\n    return a.mfInfo.monoisotopicMass - b.mfInfo.monoisotopicMass;\n  });\n  return fragmentationResults;\n}\n","/**\n * openchemlib - Manipulate molecules\n * @version v8.5.0\n * @date 2023-08-14T05:59:45.973Z\n * @link https://github.com/cheminfo/openchemlib-js\n * @license BSD-3-Clause\n*/\n(function (root) {\n  'use strict';\n\n  function getExports($wnd) {\n\n    var $doc = $wnd.document;\n    var $gwt = {};\n    var navigator = {\n      userAgent: 'webkit'\n    };\n\n    function noop(){}\n\n    var __gwtModuleFunction = noop;\n    __gwtModuleFunction.__moduleStartupDone = noop;\n    var $sendStats = noop;\n    var $moduleName, $moduleBase;\n\n    // Start GWT code \nvar 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d,e,f,g;f=b+c;alb.Jgb(b,f,a.length);g='';for(e=b;e<f;){d=$wnd.Math.min(e+$lb,f);g+=Zkb.r5(alb.Pgb(a).slice(e,d));e=d}return g};jX={4:1,159:1,27:1,2:1};Zkb.M5=function M5(a){Zkb.H2.call(this,a)};U1(178,69,Vlb,Zkb.M5);alb.agb=function agb(a){var b;b=alb.Pgb(a).slice();return alb.kgb(b,a)};\nalb.bgb=function bgb(a,b,c,d,e,f){var g,h,i,j,k;if(e==0){return}if(uX(a)===uX(c)){a=alb.Pgb(a).slice(b,b+e);b=0}i=alb.Pgb(c);for(h=b,j=b+e;h<j;){g=$wnd.Math.min(h+$lb,j);e=g-h;k=alb.Pgb(a).slice(h,g);alb.Pgb(k).splice(0,0,alb.Pgb(d),alb.Pgb(f?e:0));Array.prototype.splice.apply(i,k);h=g;d+=e}};alb.cgb=function cgb(a,b){return alb.kgb(new Array(b),a)};alb.dgb=function dgb(a,b,c){alb.Pgb(a).splice(b,0,c)};alb.egb=function egb(a,b,c){alb.bgb(c,0,a,b,c.length,false)};alb.fgb=function fgb(a,b){alb.Pgb(a).push(b)};alb.ggb=function ggb(a,b){alb.Pgb(a).push(b)};alb.hgb=function hgb(a,b,c){alb.Pgb(a).splice(b,c)};alb.igb=function igb(a,b){alb.Pgb(a).length=b};alb.jgb=function jgb(a,b){alb.Pgb(a).sort(b)};U1(374,1,{});alb.tgb=function tgb(){};alb.ugb=function ugb(a){switch(typeof(a)){case Plb:return Zkb.f5(alb.Pgb(a));case Olb:return Zkb.X3(alb.Pgb(a));case Nlb:return Zkb.R2(alb.Pgb(a));default:return a==null?0:alb.wgb(a);}};alb.vgb=function vgb(){return ++alb.sgb};alb.wgb=function wgb(a){return a.$H||(a.$H=alb.vgb())};U1(328,1,{},alb.tgb);alb.sgb=0;alb.xgb=function xgb(a){if(!a){throw c1(new Zkb.b4)}};alb.ygb=function ygb(a,b){if(!a){throw c1(new Zkb.c4(b))}};alb.zgb=function zgb(a,b){if(0>a){throw c1(new Zkb.c4('fromIndex: 0 > toIndex: '+a))}if(a>b){throw c1(new Zkb.J2('fromIndex: 0, toIndex: '+a+_lb+b))}};alb.Agb=function Agb(a){if(a<0){throw c1(new Zkb.N4('Negative array size: '+a))}};alb.Bgb=function Bgb(a,b){if(a!=b){throw c1(new dlb.Icb)}};alb.Cgb=function Cgb(a){if(!a){throw c1(new dlb.Ndb)}};alb.Dgb=function Dgb(a,b){if(a<0||a>=b){throw c1(new Zkb.H2(amb+a+bmb+b))}};alb.Egb=function Egb(a){if(a==null){throw c1(new Zkb.O4)}return a};alb.Fgb=function Fgb(a,b){if(a==null){throw c1(new Zkb.Q4(b))}};alb.Ggb=function Ggb(a,b){if(a<0||a>b){throw c1(new Zkb.H2(amb+a+bmb+b))}};alb.Hgb=function Hgb(a,b,c){if(a<0||b>c){throw c1(new Zkb.H2(cmb+a+dmb+b+', size: '+c))}if(a>b){throw c1(new Zkb.c4(cmb+a+' > toIndex: '+b))}};alb.Igb=function Igb(a){if(!a){throw c1(new Zkb.d4)}};alb.Jgb=function Jgb(a,b,c){if(a<0||b>c||b<a){throw c1(new Zkb.M5(cmb+a+dmb+b+_lb+c))}};alb.Kgb=function Kgb(a,b){if(a<0||a>=b){throw c1(new Zkb.M5(amb+a+bmb+b))}};alb.Lgb=function Lgb(a){var b,c;b=new ArrayBuffer(8);alb.Pgb(new Float64Array(b))[0]=a;c=alb.Pgb(new Uint32Array(b));return alb.Sgb(c[0]|0,c[1]|0)};alb.Mgb=function Mgb(a,b){return a[b]};alb.Ngb=function Ngb(a){return a===undefined};alb.Ogb=function Ogb(a){return a>>>0};alb.Pgb=function Pgb(a){return a};alb.Qgb=function Qgb(a){return a};alb.Rgb=function Rgb(a){return a};U1(329,1,{});Ykb.f_=w3(1);Ykb.r$=w3(0);Ykb.y$=w3(330);Ykb.v$=w3(236);Ykb.x$=w3(331);Ykb.w$=w3(237);Ykb.R$=w3(233);Ykb.T$=w3(157);Ykb.e_=w3(95);Ykb.U$=w3(234);Ykb.m_=w3(22);Ykb.W$=w3(15);Ykb.g_=w3(41);Ykb.Z$=w3(69);Ykb._$=w3(100);Ykb.c_=w3(62);Ykb.l_=w3(2);Ykb.k_=w3(178);Ykb.t0=w3(328);Ykb.u0=w3(329);blb.Nc=function Nc(a){var b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,A,B,C,D,F,G,H,I,J,K,L,M,N,O,P,Q;this.c=a.length;this.d=a[0].length;G=$wnd.Math.min(this.c,this.d);this.e=gW(Ykb.yX,emb,6,$wnd.Math.min(this.c+1,this.d),15,1);this.a=eW(Ykb.yX,[Llb,emb],[12,6],15,[this.c,G],2);this.b=eW(Ykb.yX,[Llb,emb],[12,6],15,[this.d,this.d],2);e=gW(Ykb.yX,emb,6,this.d,15,1);Q=gW(Ykb.yX,emb,6,this.c,15,1);D=$wnd.Math.min(this.c-1,this.d);F=$wnd.Math.max(0,$wnd.Math.min(this.d-2,this.c));for(v=0;v<$wnd.Math.max(D,F);v++){if(v<D){this.e[v]=0;for(l=v;l<this.c;l++){this.e[v]=blb.Oc(this.e[v],a[l][v])}if(this.e[v]!=0){a[v][v]<0&&(this.e[v]=-this.e[v]);for(k=v;k<this.c;k++){a[k][v]/=this.e[v]}a[v][v]+=1}this.e[v]=-this.e[v]}for(q=v+1;q<this.d;q++){if(v<D&this.e[v]!=0){P=0;for(l=v;l<this.c;l++){P+=a[l][v]*a[l][q]}P=-P/a[v][v];for(k=v;k<this.c;k++){a[k][q]+=P*a[k][v]}}e[q]=a[v][q]}if(true&v<D){for(k=v;k<this.c;k++){this.a[k][v]=a[k][v]}}if(v<F){e[v]=0;for(l=v+1;l<this.d;l++){e[v]=blb.Oc(e[v],e[l])}if(e[v]!=0){e[v+1]<0&&(e[v]=-e[v]);for(m=v+1;m<this.d;m++){e[m]/=e[v]}e[v+1]+=1}e[v]=-e[v];if(v+1<this.c&e[v]!=0){for(m=v+1;m<this.c;m++){Q[m]=0}for(r=v+1;r<this.d;r++){for(n=v+1;n<this.c;n++){Q[n]+=e[r]*a[n][r]}}for(s=v+1;s<this.d;s++){P=-e[s]/e[v+1];for(n=v+1;n<this.c;n++){a[n][s]+=P*Q[n]}}}for(k=v+1;k<this.d;k++){this.b[k][v]=e[k]}}}H=$wnd.Math.min(this.d,this.c+1);D<this.d&&(this.e[D]=a[D][D]);this.c<H&&(this.e[H-1]=0);F+1<H&&(e[F]=a[F][H-1]);e[H-1]=0;for(t=D;t<G;t++){for(k=0;k<this.c;k++){this.a[k][t]=0}this.a[t][t]=1}for(w=D-1;w>=0;w--){if(this.e[w]!=0){for(p=w+1;p<G;p++){P=0;for(l=w;l<this.c;l++){P+=this.a[l][w]*this.a[l][p]}P=-P/this.a[w][w];for(m=w;m<this.c;m++){this.a[m][p]+=P*this.a[m][w]}}for(n=w;n<this.c;n++){this.a[n][w]=-this.a[n][w]}this.a[w][w]=1+this.a[w][w];for(k=0;k<w-1;k++){this.a[k][w]=0}}else{for(k=0;k<this.c;k++){this.a[k][w]=0}this.a[w][w]=1}}for(A=this.d-1;A>=0;A--){if(A<F&e[A]!=0){for(p=A+1;p<G;p++){P=0;for(l=A+1;l<this.d;l++){P+=this.b[l][A]*this.b[l][p]}P=-P/this.b[A+1][A];for(m=A+1;m<this.d;m++){this.b[m][p]+=P*this.b[m][A]}}}for(k=0;k<this.d;k++){this.b[k][A]=0}this.b[A][A]=1}I=H-1;o=0;h=$wnd.Math.pow(2,-52);while(H>0){for(u=H-2;u>=-1;u--){if(u==-1){break}if($wnd.Math.abs(e[u])<=h*($wnd.Math.abs(this.e[u])+$wnd.Math.abs(this.e[u+1]))){e[u]=0;break}}if(u==H-2){B=4}else{for(C=H-1;C>=u;C--){if(C==u){break}P=(C!=H?$wnd.Math.abs(e[C]):0)+(C!=u+1?$wnd.Math.abs(e[C-1]):0);if($wnd.Math.abs(this.e[C])<=h*P){this.e[C]=0;break}}if(C==u){B=3}else if(C==H-1){B=1}else{B=2;u=C}}++u;switch(B){case 1:{i=e[H-2];e[H-2]=0;for(p=H-2;p>=u;p--){P=blb.Oc(this.e[p],i);d=this.e[p]/P;M=i/P;this.e[p]=P;if(p!=u){i=-M*e[p-1];e[p-1]=d*e[p-1]}for(k=0;k<this.d;k++){P=d*this.b[k][p]+M*this.b[k][H-1];this.b[k][H-1]=-M*this.b[k][p]+d*this.b[k][H-1];this.b[k][p]=P}}}break;case 2:{i=e[u-1];e[u-1]=0;for(p=u;p<H;p++){P=blb.Oc(this.e[p],i);d=this.e[p]/P;M=i/P;this.e[p]=P;i=-M*e[p];e[p]=d*e[p];for(k=0;k<this.c;k++){P=d*this.a[k][p]+M*this.a[k][u-1];this.a[k][u-1]=-M*this.a[k][p]+d*this.a[k][u-1];this.a[k][p]=P}}}break;case 3:{J=$wnd.Math.max($wnd.Math.max($wnd.Math.max($wnd.Math.max($wnd.Math.abs(this.e[H-1]),$wnd.Math.abs(this.e[H-2])),$wnd.Math.abs(e[H-2])),$wnd.Math.abs(this.e[u])),$wnd.Math.abs(e[u]));N=this.e[H-1]/J;O=this.e[H-2]/J;g=e[H-2]/J;L=this.e[u]/J;f=e[u]/J;b=((O+N)*(O-N)+g*g)/2;c=N*g*(N*g);K=0;if(b!=0|c!=0){K=$wnd.Math.sqrt(b*b+c);b<0&&(K=-K);K=c/(b+K)}i=(L+N)*(L-N)+K;j=L*f;for(p=u;p<H-1;p++){P=blb.Oc(i,j);d=i/P;M=j/P;p!=u&&(e[p-1]=P);i=d*this.e[p]+M*e[p];e[p]=d*e[p]-M*this.e[p];j=M*this.e[p+1];this.e[p+1]=d*this.e[p+1];for(l=0;l<this.d;l++){P=d*this.b[l][p]+M*this.b[l][p+1];this.b[l][p+1]=-M*this.b[l][p]+d*this.b[l][p+1];this.b[l][p]=P}P=blb.Oc(i,j);d=i/P;M=j/P;this.e[p]=P;i=d*e[p]+M*this.e[p+1];this.e[p+1]=-M*e[p]+d*this.e[p+1];j=M*e[p+1];e[p+1]=d*e[p+1];if(p<this.c-1){for(k=0;k<this.c;k++){P=d*this.a[k][p]+M*this.a[k][p+1];this.a[k][p+1]=-M*this.a[k][p]+d*this.a[k][p+1];this.a[k][p]=P}}}e[H-2]=i;o=o+1}break;case 4:{if(this.e[u]<=0){this.e[u]=this.e[u]<0?-this.e[u]:0;for(k=0;k<=I;k++){this.b[k][u]=-this.b[k][u]}}while(u<I){if(this.e[u]>=this.e[u+1]){break}P=this.e[u];this.e[u]=this.e[u+1];this.e[u+1]=P;if(u<this.d-1){for(k=0;k<this.d;k++){P=this.b[k][u+1];this.b[k][u+1]=this.b[k][u];this.b[k][u]=P}}if(u<this.c-1){for(k=0;k<this.c;k++){P=this.a[k][u+1];this.a[k][u+1]=this.a[k][u];this.a[k][u]=P}}++u}o=0;--H}}}};blb.Oc=function Oc(a,b){var c;if($wnd.Math.abs(a)>$wnd.Math.abs(b)){c=b/a;c=$wnd.Math.abs(a)*$wnd.Math.sqrt(1+c*c)}else if(b!=0){c=a/b;c=$wnd.Math.abs(b)*$wnd.Math.sqrt(1+c*c)}else{c=0}return c};U1(155,1,fmb,blb.Nc);_.c=0;_.d=0;Ykb.CX=w3(155);clb.Qc=function Qc(){clb.Qc=W1;clb.Pc=oW(aW(Ykb.AX,1),gmb,6,15,[0,hmb,14286847,13402367,12779264,16758197,9474192,3166456,16715021,9494608,11789301,11230450,9109248,12560038,15780000,16744448,16777008,2093087,8442339,9388244,4062976,15132390,12567239,10921643,9083335,10255047,14706227,15765664,5296208,13140019,8224944,12750735,6721423,12419299,16752896,10889513,6076625,7351984,imb,9764863,9756896,7586505,5551541,3907230,2396047,687500,27013,12632256,16767375,10909043,6717568,10380213,13924864,9699476,4366000,5707663,51456,7394559,16777159,14286791,13107143,10747847,9437127,6422471,4587463,3211207,2097095,65436,58997,54354,48952,43812,5096191,5089023,2200790,2522539,2516630,1528967,13684960,16765219,12105936,10900557,5724513,10375093,11230208,7688005,4358806,4325478,32000,7384058,47871,41471,36863,33023,27647,5528818,7888099,9064419,10565332,11739092,11739066,11734438,12389767,13041766,13369433,13697103,14221381,14680120,15073326,15400998,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,13158600,1334015,56540,15075850,15132160,56540,15075850,15461355,8553170,1016335,1016335,1334015,15132160,3289770,14456450,16422400,16422400,11819700,3289770,1016335])};clb.Rc=function Rc(a){a.u=new plb.XF};clb.Sc=function Sc(a){var b,c;if((a.D&32)!=0)return;c=clb.Jt(a.J);if(c!=null){if(a.v.a==0&&a.v.b==0){b=a.P.c*clb.vk(a.J);a.u=clb.Md(a);clb.bd(a,b);clb.Jd(a,null,b,0)}clb.Os(a,vX(a.w));a.J.O!=1&&clb.Kd(a,448);clb.Is(a,c,a.v.a,a.v.b+jmb*a.w)}};clb.Tc=function Tc(a,b){return a==null?b:b==null?a:a+','+b};clb.Uc=function Uc(a){var b;b=a.P.c*clb.vk(a.J);a.W=b*0.06;a.R=b*0.15;a.Q=b*0.38;a.U=b*0.47;a.V=vX(b*a.H*0.6+0.5);a.T=b*0.12;a.X=b*0.4;a.w=b*0.5+0.5};clb.Vc=function Vc(a){var b,c;a=e1(a,kmb);for(c=0;c<(olb.NF(),olb.MF).length;c++)if(o1(a,olb.MF[c]))return olb.LF[c];b=new Zkb.L5('R');z1(e1(a,lmb),0)&&(b.a+='0',b);z1(e1(a,mmb),0)&&(b.a+='3',b);z1(e1(a,nmb),0)&&(b.a+='4',b);z1(e1(a,omb),0)&&(b.a+='5',b);z1(e1(a,pmb),0)&&(b.a+='6',b);z1(e1(a,qmb),0)&&(b.a+='7',b);z1(e1(a,rmb),0)&&(b.a+='8',b);return b.a};clb.Wc=function Wc(a,b,c,d){var e,f,g;e=new clb.Sd;f=new clb.Sd;e.a=b.a;e.c=b.c;e.b=(b.a+b.b)/2;e.d=(b.c+b.d)/2;f.a=e.b;f.c=e.d;f.b=b.b;f.d=b.d;if(clb.Gd(a,e)){clb.Kd(a,a.p[c]);g=smb+Zkb.O3(Blb.g6(Blb.d6(new Blb.h6(e.a),(Blb.f8(),Blb.b8))))+tmb+umb+Zkb.O3(Blb.g6(Blb.d6(new Blb.h6(e.c),Blb.b8)))+tmb+vmb+Zkb.O3(Blb.g6(Blb.d6(new Blb.h6(e.b),Blb.b8)))+tmb+wmb+Zkb.O3(Blb.g6(Blb.d6(new Blb.h6(e.d),Blb.b8)))+tmb+xmb+a.d+tmb+ymb+a.j+zmb;clb.Rs(a,g)}if(clb.Gd(a,f)){clb.Kd(a,a.p[d]);g=smb+Zkb.O3(Blb.g6(Blb.d6(new Blb.h6(f.a),(Blb.f8(),Blb.b8))))+tmb+umb+Zkb.O3(Blb.g6(Blb.d6(new Blb.h6(f.c),Blb.b8)))+tmb+vmb+Zkb.O3(Blb.g6(Blb.d6(new Blb.h6(f.b),Blb.b8)))+tmb+wmb+Zkb.O3(Blb.g6(Blb.d6(new Blb.h6(f.d),Blb.b8)))+tmb+xmb+a.d+tmb+ymb+a.j+zmb;clb.Rs(a,g)}clb.Kd(a,a.O)};clb.Xc=function Xc(a,b,c,d){var e,f,g,h,i,j,k,l,m;l=(b.b-b.a)/10;m=(b.d-b.c)/10;e=new clb.Sd;if(clb.cl(a.J,clb.tn(a.J,c,d))){f=-3;g=-3}else{f=a.p[c];g=a.p[d]}clb.Kd(a,f);e.a=b.a;e.c=b.c;e.b=b.a+l*2;e.d=b.c+m*2;i=smb+Zkb.O3(Blb.g6(Blb.d6(new 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plb.SF(4);plb.RF(g,b.a,b.c);plb.RF(g,l,q);plb.RF(g,m,r);plb.RF(h,m,r);plb.RF(h,l,q);plb.RF(h,j,o);plb.RF(h,k,p);if(clb.cl(a.J,clb.tn(a.J,c,d))){e=-3;f=-3}else{e=a.p[c];f=a.p[d];if(a.J.O!=1){f=clb.ed(a,c);e==clb.ek(a.J,c)&&(e=f)}}clb.Kd(a,e);clb.Hs(a,g);clb.Kd(a,f);clb.Hs(a,h);clb.Kd(a,a.O)};clb.bd=function bd(a,b){var c,d;for(d=0;d<a.Y.a.length;d++)a.u=plb.WF(a.u,dlb.Bi(a.Y,d));clb.cd(a,b);c=0.1*b;a.u.c-=c;a.u.d-=c;a.u.b+=2*c;a.u.a+=2*c};clb.cd=function cd(a,b){var c,d,e,f,g,h,i;e=gW(Ykb.Z0,Amb,6,a.J.q,16,1);for(d=0;d<a.J.r;d++){if(clb.al(a.J,d)){e[clb.zk(a.J,0,d)]=true;e[clb.zk(a.J,1,d)]=true}}g=new plb.XF;for(c=0;c<a.J.q;c++){f=z1(e1(clb.pk(a.J,c),Bmb),0)?b*0.47:e[c]?b*0.38:0;if(f!=0){h=clb.Mh(a.P,clb.rk(a.J,c));i=clb.Nh(a.P,clb.sk(a.J,c));plb.VF(g,h-f,i-f,f*2,f*2);a.u=plb.WF(a.u,g)}}};clb.dd=function dd(a,b){var c;c=a.K!=0?a.K:a.B!=0?a.B:-1;return slb.FT(b,c)};clb.ed=function ed(a,b){var c,d;if((a.D&4224)!=0)return a.p[b];d=clb.fd(a,b);if(d==-1){c=clb.an(a.J,b);if(c!=-1){b=c;d=clb.fd(a,b)}}if(d==-1)return a.p[b];switch(d&255){case 1:return 384;case 2:return 64;default:return 448;}};clb.fd=function fd(a,b){var c,d,e;e=-1;d=-1;if((a.D&128)!=0)return e;if(clb.$k(a.J,b)){e=clb.ik(a.J,b);d=clb.hk(a.J,b)}c=clb.cn(a.J,b);if(c!=-1){e=clb.Ek(a.J,c);d=clb.Dk(a.J,c)}e!=-1&&e!=0&&(e|=d<<8);return e};clb.gd=function gd(a){var b,c,d,e,f;clb.Ms(a,2*a.Q);e=new clb.Sd;for(d=0;d<a.J.r;d++){b=clb.zk(a.J,0,d);c=clb.zk(a.J,1,d);if(clb.al(a.J,d)){e.a=clb.Mh(a.P,clb.rk(a.J,b));e.c=clb.Nh(a.P,clb.sk(a.J,b));e.b=clb.Mh(a.P,clb.rk(a.J,c));e.d=clb.Nh(a.P,clb.sk(a.J,c));clb.Kd(a,-2);f=smb+Zkb.O3(Blb.g6(Blb.d6(new Blb.h6(e.a),(Blb.f8(),Blb.b8))))+tmb+umb+Zkb.O3(Blb.g6(Blb.d6(new Blb.h6(e.c),Blb.b8)))+tmb+vmb+Zkb.O3(Blb.g6(Blb.d6(new Blb.h6(e.b),Blb.b8)))+tmb+wmb+Zkb.O3(Blb.g6(Blb.d6(new Blb.h6(e.d),Blb.b8)))+tmb+xmb+a.d+tmb+ymb+a.j+zmb;clb.Rs(a,f)}}};clb.hd=function hd(a){var b,c,d,e,f,g,h;if(a.J.K){g=a.U;clb.Kd(a,-7);for(b=0;b<a.J.f;b++)z1(e1(clb.pk(a.J,b),Bmb),0)&&clb.Js(a,clb.Mh(a.P,clb.rk(a.J,b))-g,clb.Nh(a.P,clb.sk(a.J,b))-g,2*g);clb.Ms(a,2*a.U);f=new clb.Sd;for(e=0;e<a.J.r;e++){c=clb.zk(a.J,0,e);d=clb.zk(a.J,1,e);if(z1(e1(e1(clb.pk(a.J,c),clb.pk(a.J,d)),Bmb),0)){f.a=clb.Mh(a.P,clb.rk(a.J,c));f.c=clb.Nh(a.P,clb.sk(a.J,c));f.b=clb.Mh(a.P,clb.rk(a.J,d));f.d=clb.Nh(a.P,clb.sk(a.J,d));h=smb+Zkb.O3(Blb.g6(Blb.d6(new Blb.h6(f.a),(Blb.f8(),Blb.b8))))+tmb+umb+Zkb.O3(Blb.g6(Blb.d6(new Blb.h6(f.c),Blb.b8)))+tmb+vmb+Zkb.O3(Blb.g6(Blb.d6(new Blb.h6(f.b),Blb.b8)))+tmb+wmb+Zkb.O3(Blb.g6(Blb.d6(new Blb.h6(f.d),Blb.b8)))+tmb+xmb+a.d+tmb+ymb+a.j+zmb;clb.Rs(a,h)}}}};clb.jd=function jd(a){var b,c,d,e;if(a.J.K){clb.Kd(a,320);if((a.D&8)!=0)for(b=0;b<a.J.f;b++)z1(e1(clb.pk(a.J,b),-536870913),0)&&clb.Js(a,clb.Mh(a.P,clb.rk(a.J,b))-a.X/2,clb.Nh(a.P,clb.sk(a.J,b))-a.X/2,a.X);for(e=0;e<a.J.g;e++){if(clb.Jk(a.J,e)!=0){c=clb.zk(a.J,0,e);d=clb.zk(a.J,1,e);clb.Js(a,(clb.Mh(a.P,clb.rk(a.J,c))+clb.Mh(a.P,clb.rk(a.J,d))-a.X)/2,(clb.Nh(a.P,clb.sk(a.J,c))+clb.Nh(a.P,clb.sk(a.J,d))-a.X)/2,a.X)}}}};clb.kd=function kd(a){a.H=1;a.P=new clb.Oh;a.Y=new dlb.Qi;a.S=new dlb.Qi;a.r=gW(Ykb.Z0,Amb,6,a.J.q,16,1);a.v=new plb.OF;a.O=0;a.A=-1;clb.Od(a)};clb.ld=function ld(a,b){var c;if(clb.gn(a.J,b)==0)return false;for(c=0;c<clb.gn(a.J,b);c++)if(!clb.cl(a.J,clb.xn(a.J,b,c)))return false;return true};clb.md=function md(a){var b;a.q=gW(Ykb.Z0,Amb,6,a.J.q,16,1);for(b=0;b<a.J.r;b++){a.q[clb.zk(a.J,0,b)]=true;a.q[clb.zk(a.J,1,b)]=true}};clb.nd=function nd(a,b){var c;if(clb.wn(a.J,b)!=2)return false;for(c=0;c<2;c++)if(clb.yn(a.J,b,c)!=2)return false;return true};clb.od=function od(a,b,c,d,e){var f,g,h,i,j,k,l,m,n,o;m=false;e.a=0;e.b=0;d>0?(f=Cmb):(f=Dmb);o=clb.yk(a.J,b,c);for(k=0;k<clb.wn(a.J,b);k++){g=clb.xn(a.J,b,k);h=o;clb.zk(a.J,0,g)==b?(l=clb.zk(a.J,1,g)):(l=clb.zk(a.J,0,g));if(l==c)continue;n=clb.yk(a.J,b,l);h<n&&(h+=Emb);i=h-n;if(d>0){i<Fmb&&(m=true);i>Cmb&&(i=Cmb);i<0.523598776&&(i=0.523598776);if(i<=f){f=i;j=a.R*$wnd.Math.tan(f-Gmb)/2;e.a=-(j*$wnd.Math.sin(h));e.b=-(j*$wnd.Math.cos(h))}}else{i>=Fmb&&(m=true);i<Dmb&&(i=Dmb);i>5.759586531&&(i=5.759586531);if(i>=f){f=i;j=a.R*$wnd.Math.tan(4.712388981-f)/2;e.a=-(j*$wnd.Math.sin(h));e.b=-(j*$wnd.Math.cos(h))}}}return m};clb.pd=function pd(a,b,c,d){var e;if(b==0){c<0?(d.a=a.R):(d.a=-a.R);d.b=0;return}e=$wnd.Math.atan(c/b);b<0&&(e+=Fmb);d.a=-(a.R*$wnd.Math.sin(e));d.b=a.R*$wnd.Math.cos(e)};clb.qd=function qd(a,b,c,d){var e,f,g,h,i,j,k,l,m,n,o,p;e=new clb.Sd;i=new clb.Sd;k=new plb.OF;j=new plb.OF;g=clb.zk(a.J,0,c);h=clb.zk(a.J,1,c);if(d){m=b.a;b.a=b.b;b.b=m;m=b.c;b.c=b.d;b.d=m;n=g;g=h;h=n}if(!clb.Gd(a,b))return;if(clb.zo(a.J,c)){e.a=b.a;e.c=b.c;e.b=b.b;e.d=b.d;l=d?-clb.Wn(a.J,c):clb.Wn(a.J,c);l==0&&(l=1);clb.pd(a,b.b-b.a,b.d-b.c,k);if(l>0){i.a=b.a+k.a;i.c=b.c+k.b;i.b=b.b+k.a;i.d=b.d+k.b;if(clb.od(a,g,h,1,j)||clb.wn(a.J,g)>1){i.a+=j.a+k.b;i.c+=j.b-k.a}}else{i.a=b.a-k.a;i.c=b.c-k.b;i.b=b.b-k.a;i.d=b.d-k.b;if(clb.od(a,g,h,-1,j)||clb.wn(a.J,g)>1){i.a+=j.a+k.b;i.c+=j.b-k.a}}clb.Kk(a.J,c)==386&&clb.Fd(e,i);clb.Gd(a,e)&&clb.Zc(a,e,g,h);clb.Kk(a.J,c)==64?clb.Gd(a,i)&&clb.Xc(a,i,g,h):clb.Gd(a,i)&&clb.Zc(a,i,g,h)}else{clb.pd(a,b.b-b.a,b.d-b.c,k);o=k.a/2;p=k.b/2;f=false;e.a=b.a+o;e.c=b.c+p;e.b=b.b+o;e.d=b.d+p;if(clb.wn(a.J,g)>1){if(clb.od(a,g,h,1,j)){e.a+=j.a;e.c+=j.b;if(clb.wn(a.J,g)==2){if(j.a!=0||j.b!=0){e.a+=k.b;e.c-=k.a}}}else{a.o[g]=new plb.PF(e.a,e.c)}}i.a=b.a-o;i.c=b.c-p;i.b=b.b-o;i.d=b.d-p;if(clb.wn(a.J,g)>1){if(clb.od(a,g,h,0,j)){i.a+=j.a;i.c+=j.b;if(clb.wn(a.J,g)==2){if(j.a!=0||j.b!=0){i.a+=k.b;i.c-=k.a}}}else{a.o[g]=new plb.PF(i.a,i.c);f=true}}clb.Kk(a.J,c)==386&&clb.Fd(e,i);if(clb.Kk(a.J,c)==64){if(f){clb.Xc(a,e,g,h);clb.Zc(a,i,g,h)}else{clb.Zc(a,e,g,h);clb.Xc(a,i,g,h)}}else{clb.Zc(a,e,g,h);clb.Zc(a,i,g,h)}}};clb.rd=function rd(a,b){var c,d,e,f,g,h,i,j,k,l,m,n,o;k=a.O;l=a.C;if((a.D&Hmb)!=0){a.O=-6;a.C=-8355712;clb.Kd(a,1)}a.o=gW(Ykb.QZ,Ulb,50,a.J.q,0,1);for(i=0;i<a.J.r;i++)(clb.Kk(a.J,i)==2||clb.Kk(a.J,i)==386||clb.Kk(a.J,i)==64)&&clb.ud(a,i);for(j=0;j<a.J.r;j++)clb.Kk(a.J,j)!=2&&clb.Kk(a.J,j)!=386&&clb.Kk(a.J,j)!=64&&clb.ud(a,j);if((a.D&64)==0){for(h=0;h<a.J.r;h++){if(clb.Ck(a.J,h)!=0){e=null;clb.Ck(a.J,h)==1||clb.Ck(a.J,h)==2?(clb.Hk(a.J,h)==2||clb.Ek(a.J,h)==0||b[clb.Ek(a.J,h)][clb.Dk(a.J,h)]>1)&&(clb.Ck(a.J,h)==1?(e=clb.Hk(a.J,h)==2?'E':clb.el(a.J,h)?'p':'P'):(e=clb.Hk(a.J,h)==2?'Z':clb.el(a.J,h)?'m':'M')):(e='?');if(e!=null){clb.Os(a,(a.V*2+1)/3|0);clb.Kd(a,clb.cl(a.J,h)?-3:a.J.O==1||(a.D&Imb)!=0?a.O:448);c=clb.zk(a.J,0,h);d=clb.zk(a.J,1,h);n=(clb.Mh(a.P,clb.rk(a.J,c))+clb.Mh(a.P,clb.rk(a.J,d)))/2;o=(clb.Nh(a.P,clb.sk(a.J,c))+clb.Nh(a.P,clb.sk(a.J,d)))/2;f=(clb.Mh(a.P,clb.rk(a.J,c))-clb.Mh(a.P,clb.rk(a.J,d)))/3;g=(clb.Nh(a.P,clb.sk(a.J,c))-clb.Nh(a.P,clb.sk(a.J,d)))/3;clb.xd(a,n+g,o-f,e,true);clb.Kd(a,a.O);clb.Os(a,a.V)}}}}if((a.D&4)!=0){clb.Os(a,(a.V*2+1)/3|0);clb.Kd(a,384);for(h=0;h<a.J.r;h++){c=clb.zk(a.J,0,h);d=clb.zk(a.J,1,h);m=clb.qo(a.J,h)?'d':clb.mo(a.J,h)?'a':'';n=(clb.Mh(a.P,clb.rk(a.J,c))+clb.Mh(a.P,clb.rk(a.J,d)))/2;o=(clb.Nh(a.P,clb.sk(a.J,c))+clb.Nh(a.P,clb.sk(a.J,d)))/2;clb.xd(a,n,o,m+(''+h),true)}clb.Kd(a,a.O);clb.Os(a,a.V)}if((a.D&Hmb)!=0){a.O=k;a.C=l}};clb.sd=function sd(a){var b,c;for(c=new dlb.Obb(a.S);c.a<c.c.a.length;){b=dlb.Nbb(c);clb.Kd(a,b.a);clb.Yc(a,b.b,b.c)}clb.Kd(a,a.O)};clb.td=function td(a,b,c){var d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,A,B,C,D,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,$;a.I||clb.Ks(a,b,(clb.jk(a.J,b),clb.Mh(a.P,clb.rk(a.J,b))),clb.Nh(a.P,clb.sk(a.J,b)));M=null;if(clb.dk(a.J,b)!=0){U=$wnd.Math.abs(clb.dk(a.J,b))==1?'':''+$wnd.Math.abs(clb.dk(a.J,b));M=clb.dk(a.J,b)<0?U+'-':U+'+'}D=null;N=clb.pk(a.J,b);if(j1(N,0)!=0){z1(e1(N,Jmb),0)&&(D=D==null?'*':D+','+'*');z1(e1(N,Kmb),0)&&(D=D==null?'!*':D+','+'!*');z1(e1(N,Lmb),0)?(D=D==null?'ha':D+','+'ha'):z1(e1(N,2),0)?(D=D==null?'a':D+','+'a'):z1(e1(N,4),0)&&(D=D==null?'!a':D+','+'!a');z1(e1(N,Imb),0)&&(D=D==null?'s':D+','+'s');if(z1(e1(N,Mmb),0)){w=e1(N,Mmb);j1(w,1792)==0?(D=D==null?'h0':D+','+'h0'):j1(w,1664)==0?(D=D==null?'h1':D+','+'h1'):j1(w,1408)==0?(D=D==null?'h2':D+','+'h2'):j1(w,128)==0?(D=D==null?'h>0':D+','+'h>0'):j1(w,384)==0?(D=D==null?'h>1':D+','+'h>1'):j1(w,896)==0?(D=D==null?'h>2':D+','+'h>2'):j1(w,Nmb)==0?(D=D==null?'h<3':D+','+'h<3'):j1(w,1536)==0&&(D=D==null?'h<2':D+','+'h<2')}if(z1(e1(N,Omb),0)){i=e1(N,Omb);j1(i,Pmb)==0?(D=D==null?'c0':D+','+'c0'):j1(i,Qmb)==0?(D=D==null?'c+':D+','+'c+'):j1(i,Rmb)==0&&(D=D==null?'c-':D+','+'c-')}if(z1(e1(N,Smb),0)){L=e1(N,Smb);j1(L,98304)==0?(D=D==null?'pi0':D+','+'pi0'):j1(L,81920)==0?(D=D==null?'pi1':D+','+'pi1'):j1(L,49152)==0?(D=D==null?'pi2':D+','+'pi2'):j1(L,Hmb)==0&&(D=D==null?'pi>0':D+','+'pi>0')}if(z1(e1(N,Tmb),0)){K=e1(N,Tmb);j1(K,3801088)==0?(D=D==null?'n1':D+','+'n1'):j1(K,Umb)==0?(D=D==null?'n2':D+','+'n2'):j1(K,Vmb)==0?(D=D==null?'n3':D+','+'n3'):j1(K,3145728)==0?(D=D==null?'n<3':D+','+'n<3'):j1(K,Wmb)==0?(D=D==null?'n<4':D+','+'n<4'):j1(K,Xmb)==0?(D=D==null?'n>1':D+','+'n>1'):j1(K,Ymb)==0?(D=D==null?'n>2':D+','+'n>2'):j1(K,Zmb)==0&&(D=D==null?'n>3':D+','+'n>3')}if(z1(e1(N,$mb),0)){o=e1(N,$mb);j1(o,_mb)==0?(D=D==null?'e0':D+','+'e0'):j1(o,anb)==0?(D=D==null?'e1':D+','+'e1'):j1(o,bnb)==0?(D=D==null?'e2':D+','+'e2'):j1(o,cnb)==0?(D=D==null?'e3':D+','+'e3'):j1(o,15393162788864)==0?(D=D==null?'e<2':D+','+'e<2'):j1(o,13194139533312)==0?(D=D==null?'e<3':D+','+'e<3'):j1(o,dnb)==0?(D=D==null?'e<4':D+','+'e<4'):j1(o,enb)==0?(D=D==null?'e>0':D+','+'e>0'):j1(o,fnb)==0?(D=D==null?'e>1':D+','+'e>1'):j1(o,gnb)==0?(D=D==null?'e>2':D+','+'e>2'):j1(o,hnb)==0?(D=D==null?'e>3':D+','+'e>3'):j1(o,4947802324992)==0?(D=D==null?'e1-2':D+','+'e1-2'):j1(o,9345848836096)==0?(D=D==null?'e1-3':D+','+'e1-3'):j1(o,10445360463872)==0&&(D=D==null?'e2-3':D+','+'e2-3')}if(z1(e1(N,120),0)){Q=e1(N,120);j1(Q,112)==0?(D=D==null?'!r':D+','+'!r'):j1(Q,8)==0?(D=D==null?'r':D+','+'r'):j1(Q,96)==0?(D=D==null?'rb<3':D+','+'rb<3'):j1(Q,104)==0?(D=D==null?'rb2':D+','+'rb2'):j1(Q,88)==0?(D=D==null?'rb3':D+','+'rb3'):j1(Q,56)==0&&(D=D==null?'rb4':D+','+'rb4')}z1(e1(N,inb),0)&&(D=D==null?'r'+J1(D1(e1(N,inb),22)):D+','+('r'+J1(D1(e1(N,inb),22))));z1(e1(N,kmb),0)&&(D=clb.Tc(D,clb.Vc(N)));z1(e1(N,jnb),0)&&(D=D==null?'f':D+','+'f')}clb.nk(a.J,b)!=0&&(D=clb.Tc(D,''+clb.nk(a.J,b)));T=0;if(clb.qk(a.J,b)!=0){switch(clb.qk(a.J,b)){case 16:M=M==null?'|':M+','+'|';break;case 32:T=1;break;case 48:T=2;}}l=null;if((a.D&64)==0){if(clb.Xk(a.J,b))l='?';else if(clb.ck(a.J,b)!=0){if(clb.ik(a.J,b)==0||c==null||c[clb.ik(a.J,b)][clb.hk(a.J,b)]>1){if(clb.wn(a.J,b)==2){switch(clb.ck(a.J,b)){case 2:l=clb.Zk(a.J,b)?'p':'P';break;case 1:l=clb.Zk(a.J,b)?'m':'M';break;default:l='*';}}else{switch(clb.ck(a.J,b)){case 1:l=clb.Zk(a.J,b)?'r':'R';break;case 2:l=clb.Zk(a.J,b)?'s':'S';break;default:l='*';}}}}}(a.D&768)!=0&&(l=clb.Tc(l,''+clb.Rt(a.J,b)));I=null;(a.D&16)!=0&&clb.mk(a.J,b)!=0&&(I=''+clb.mk(a.J,b));q=null;if(clb._n(a.J,b)!=-1){p=clb.fd(a,b);p!=-1&&(q=p==0?'abs':((p&255)==1?'&':'or')+(1+(p>>8)))}A=0;(a.D&knb)==0&&(a.J.K?z1(e1(clb.pk(a.J,b),lnb),0)&&(A=clb.Kn(a.J,b)):(clb.uk(a.J,b)!=6||clb.nk(a.J,b)!=0||!a.q[b]||clb.qk(a.J,b)!=0)&&(A=clb.Kn(a.J,b)));H=false;f=clb.fk(a.J,b);if(f!=null&&Zkb.c5(alb.Pgb(f).substr(0,1),']')){D=clb.Tc((alb.Kgb(1,alb.Pgb(f).length+1),alb.Pgb(f).substr(1)),D);f=null;H=true}if(f!=null){A=0}else if(clb.kk(a.J,b)!=null){e=z1(e1(clb.pk(a.J,b),1),0)?'[!':'[';f=e+clb.lk(a.J,b)+']';alb.Pgb(f).length>5&&(f=e+clb.kk(a.J,b).length+']');z1(e1(clb.pk(a.J,b),lnb),0)&&(A=-1)}else if(z1(e1(clb.pk(a.J,b),1),0)){f='?';z1(e1(clb.pk(a.J,b),lnb),0)&&(A=-1)}else (clb.uk(a.J,b)!=6||M!=null||D!=null||A>0||!a.q[b])&&(f=clb.jk(a.J,b));G=0;!clb.nl(a.J,b)&z1(e1(clb.pk(a.J,b),Bmb),0)&&clb.Kd(a,-8);if(f!=null){G=(O=(V=ylb.h2(a.e,f),new zlb.n2(V)).b,O);clb.xd(a,clb.Mh(a.P,clb.rk(a.J,b)),clb.Nh(a.P,clb.sk(a.J,b)),f,true);a.r[b]=true}else clb.nd(a,b)&&clb.wd(a,clb.Mh(a.P,clb.rk(a.J,b)),clb.Nh(a.P,clb.sk(a.J,b)),b);if(M!=null){clb.Os(a,(a.V*2+1)/3|0);X=clb.Mh(a.P,clb.rk(a.J,b))+((G+(O=(V=ylb.h2(a.e,M),new zlb.n2(V)).b,O))/2+1);Z=clb.Nh(a.P,clb.sk(a.J,b))-((a.k*4-4)/8|0);clb.xd(a,X,Z,M,true);clb.Os(a,a.V)}(a.D&2)!=0&&(D=''+b);if(D!=null){H?clb.Os(a,(a.V*5+1)/6|0):clb.Os(a,(a.V*2+1)/3|0);X=clb.Mh(a.P,clb.rk(a.J,b))-(G+(O=(V=ylb.h2(a.e,D),new zlb.n2(V)).b,O))/2;Z=clb.Nh(a.P,clb.sk(a.J,b))-((a.k*4-4)/8|0);clb.xd(a,X,Z,D,true);clb.Os(a,a.V)}if(l!=null){clb.Os(a,(a.V*2+1)/3|0);X=clb.Mh(a.P,clb.rk(a.J,b))-(G+(O=(V=ylb.h2(a.e,l),new zlb.n2(V)).b,O))/2;Z=clb.Nh(a.P,clb.sk(a.J,b))+((a.k*4+4)/8|0);S=a.A;a.J.O!=1&&(a.D&Imb)==0&&clb.Kd(a,448);clb.xd(a,X,Z,l,false);clb.Kd(a,S);clb.Os(a,a.V)}if(I!=null){clb.Os(a,(a.V*2+1)/3|0);X=clb.Mh(a.P,clb.rk(a.J,b))+((G+(O=(V=ylb.h2(a.e,I),new zlb.n2(V)).b,O))/2+1);Z=clb.Nh(a.P,clb.sk(a.J,b))+((a.k*4+4)/8|0);S=a.A;clb.Kd(a,clb._k(a.J,b)?384:448);clb.xd(a,X,Z,I,true);clb.Kd(a,S);clb.Os(a,a.V)}if(q!=null){d=clb.Bd(a,b);clb.Os(a,(a.V*2+1)/3|0);X=clb.Mh(a.P,clb.rk(a.J,b))+0.7*a.k*$wnd.Math.sin(d);Z=clb.Nh(a.P,clb.sk(a.J,b))+0.7*a.k*$wnd.Math.cos(d);S=a.A;!a.I&&a.J.O!=1&&clb.Kd(a,clb.ed(a,b));clb.xd(a,X,Z,q,false);clb.Kd(a,S);clb.Os(a,a.V)}if(A==0&&T==0){a.A==-8&&clb.Kd(a,-9);return}u=gW(Ykb.yX,emb,6,4,15,1);for(C=0;C<clb.hn(a.J,b);C++){h=clb.xn(a.J,b,C);for(F=0;F<2;F++){if(clb.zk(a.J,F,h)==b){R=clb.yk(a.J,clb.zk(a.J,F,h),clb.zk(a.J,1-F,h));if(R<mnb){u[0]-=R+Gmb;u[3]+=R+Fmb}else if(R<0){u[2]+=R+Gmb;u[3]-=R}else if(R<Gmb){u[1]+=R;u[2]+=Gmb-R}else{u[0]+=R-Gmb;u[1]+=Fmb-R}}}}clb.wn(a.J,b)==0?clb.gl(a.J,b)?(u[3]-=0.2):(u[1]-=0.2):(u[1]-=0.1);(M!=null||I!=null)&&(u[1]+=10);(D!=null||l!=null)&&(u[3]+=10);s='';if(A!=0){v=(P=(W=ylb.h2(a.e,'H'),new zlb.n2(W)).b,P);t=0;r=a.k;if(A==-1){s='n';clb.Os(a,(a.V*2+1)/3|0);t=(O=(V=ylb.h2(a.e,s),new zlb.n2(V)).b,O)}else if(A>1){s=''+A;clb.Os(a,(a.V*2+1)/3|0);t=(O=(V=ylb.h2(a.e,s),new zlb.n2(V)).b,O)}if(u[1]<0.6||u[3]<0.6){k=clb.Nh(a.P,clb.sk(a.J,b));if(u[1]<=u[3]){u[1]+=10;j=clb.Mh(a.P,clb.rk(a.J,b))+(G+v)/2}else{u[3]+=10;j=clb.Mh(a.P,clb.rk(a.J,b))-(G+v)/2-t}}else{j=clb.Mh(a.P,clb.rk(a.J,b));if(u[0]<u[2]){u[0]+=10;k=clb.Nh(a.P,clb.sk(a.J,b))-r}else{u[2]+=10;k=clb.Nh(a.P,clb.sk(a.J,b))+r}}if(t>0){X=j+(v+t)/2;Z=k+((a.k*4+4)/8|0);clb.xd(a,X,Z,s,true);clb.Os(a,a.V)}clb.xd(a,j,k,'H',true)}g=0;if(T!=0){J=50;m=0;for(B=0;B<4;B++){n=B>1?B-2:B+2;if(u[B]<J){g=B;J=u[B];m=u[n]}else if(u[B]==J){if(u[n]>m){g=B;m=u[n]}}}switch(g){case 0:j=clb.Mh(a.P,clb.rk(a.J,b));k=clb.Nh(a.P,clb.sk(a.J,b))-a.T-G/2;break;case 1:j=clb.Mh(a.P,clb.rk(a.J,b))+a.T+G/2;k=clb.Nh(a.P,clb.sk(a.J,b));break;case 2:j=clb.Mh(a.P,clb.rk(a.J,b));k=clb.Nh(a.P,clb.sk(a.J,b))+a.T+G/2;break;default:j=clb.Mh(a.P,clb.rk(a.J,b))-a.T-G/2;k=clb.Nh(a.P,clb.sk(a.J,b));}if(T==1){dlb.wi(a.Y,new plb.YF(j-a.T,k-a.T,2*a.T,2*a.T));a.I||dlb.wi(a.S,new clb.Rd(j,k,clb.ld(a,b)?-3:a.p[b]))}else{switch(g){case 2:case 0:Y=2*a.T;$=0;j-=a.T;break;case 1:Y=0;$=2*a.T;k-=a.T;break;default:Y=0;$=2*a.T;k-=a.T;}dlb.wi(a.Y,new plb.YF(j-a.T,k-a.T,2*a.T,2*a.T));a.I||dlb.wi(a.S,new clb.Rd(j,k,clb.ld(a,b)?-3:a.p[b]));dlb.wi(a.Y,new plb.YF(j+Y-a.T,k+$-a.T,2*a.T,2*a.T));a.I||dlb.wi(a.S,new clb.Rd(j+Y,k+$,clb.ld(a,b)?-3:a.p[b]))}}a.A==-8&&clb.Kd(a,-9)};\nclb.ud=function ud(a,b){var c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w;u=new clb.Sd;c=new clb.Sd;g=new clb.Sd;q=new plb.OF;p=new plb.OF;e=clb.zk(a.J,0,b);f=clb.zk(a.J,1,b);clb.Ls(a,b,clb.Mh(a.P,clb.rk(a.J,e)),clb.Nh(a.P,clb.sk(a.J,e)),clb.Mh(a.P,clb.rk(a.J,f)),clb.Nh(a.P,clb.sk(a.J,f)));!clb.nl(a.J,e)&&!clb.nl(a.J,f)&&z1(e1(B1(clb.pk(a.J,e),clb.pk(a.J,f)),Bmb),0)&&clb.Kd(a,-8);if(!a.o[e]){u.a=clb.Mh(a.P,clb.rk(a.J,e));u.c=clb.Nh(a.P,clb.sk(a.J,e))}else{u.a=a.o[e].a;u.c=a.o[e].b}if(!a.o[f]){u.b=clb.Mh(a.P,clb.rk(a.J,f));u.d=clb.Nh(a.P,clb.sk(a.J,f))}else{u.b=a.o[f].a;u.d=a.o[f].b}if((clb.Jk(a.J,b)&nnb)!=0){clb.Gd(a,u)&&clb.Gs(a,u);clb.Kd(a,-9);return}h=clb.Kk(a.J,b)==64?0:clb.Kk(a.J,b)==32?1:clb.Hk(a.J,b);switch(h){case 1:i=clb.Kk(a.J,b);if((a.D&128)!=0&&(i==257||i==129)){t=clb.zk(a.J,0,b);n=clb.ik(a.J,t);if(n!=0){m=clb.hk(a.J,t);l=0;for(d=0;d<a.J.f;d++)clb.ik(a.J,d)==n&&clb.hk(a.J,d)==m&&++l;l==1&&(i=1)}}switch(i){case 1:clb.Gd(a,u)&&clb.Zc(a,u,e,f);break;case 257:clb.Dd(a,u,e,f);break;case 129:v=u.b-u.a;w=u.d-u.c;if(clb.cl(a.J,clb.tn(a.J,e,f))){j=-3;k=-3}else{j=a.p[e];k=clb.ed(a,e);j==clb.ek(a.J,e)&&(j=k)}for(o=2;o<17;o+=2){c.a=u.a+o*v/17-o*w/128;c.c=u.c+o*w/17+o*v/128;c.b=u.a+o*v/17+o*w/128;c.d=u.c+o*w/17-o*v/128;if(clb.Gd(a,c)){clb.Kd(a,o<9?j:k);r=smb+Zkb.O3(Blb.g6(Blb.d6(new Blb.h6(c.a),(Blb.f8(),Blb.b8))))+tmb+umb+Zkb.O3(Blb.g6(Blb.d6(new Blb.h6(c.c),Blb.b8)))+tmb+vmb+Zkb.O3(Blb.g6(Blb.d6(new Blb.h6(c.b),Blb.b8)))+tmb+wmb+Zkb.O3(Blb.g6(Blb.d6(new Blb.h6(c.d),Blb.b8)))+tmb+xmb+a.d+tmb+ymb+a.j+zmb;clb.Rs(a,r);clb.Kd(a,a.O)}}break;case 32:clb.Gd(a,u)&&clb._c(a,u,e,f);}break;case 0:case 2:if((a.r[e]||clb.mn(a.J,e)==2)&&(a.r[f]||clb.mn(a.J,f)==2)&&!clb.zo(a.J,b)&&h==2){if(!clb.Gd(a,u))break;clb.pd(a,u.b-u.a,u.d-u.c,q);v=q.a/2;w=q.b/2;c.a=u.a+v;c.c=u.c+w;c.b=u.b+v;c.d=u.d+w;g.a=u.a-v;g.c=u.c-w;g.b=u.b-v;g.d=u.d-w;clb.Kk(a.J,b)==386&&clb.Fd(c,g);clb.Zc(a,c,e,f);h==2?clb.Zc(a,g,e,f):clb.Xc(a,g,e,f)}else if((a.r[f]||clb.mn(a.J,f)==2)&&h==2){clb.qd(a,u,b,false)}else if((a.r[e]||clb.mn(a.J,e)==2)&&h==2){clb.qd(a,u,b,true)}else{s=clb.Wn(a.J,b);s==0&&(s=1);c.a=u.a;c.c=u.c;c.b=u.b;c.d=u.d;clb.pd(a,u.b-u.a,u.d-u.c,q);if(s>0){g.a=u.a+q.a;g.c=u.c+q.b;g.b=u.b+q.a;g.d=u.d+q.b;if(clb.od(a,e,f,1,p)||clb.wn(a.J,e)>1){g.a+=p.a+q.b;g.c+=p.b-q.a}if(clb.od(a,f,e,-1,p)||clb.wn(a.J,f)>1){g.b+=p.a-q.b;g.d+=p.b+q.a}}else{g.a=u.a-q.a;g.c=u.c-q.b;g.b=u.b-q.a;g.d=u.d-q.b;if(clb.od(a,e,f,-1,p)||clb.wn(a.J,e)>1){g.a+=p.a+q.b;g.c+=p.b-q.a}if(clb.od(a,f,e,1,p)||clb.wn(a.J,f)>1){g.b+=p.a-q.b;g.d+=p.b+q.a}}clb.Kk(a.J,b)==386&&clb.Fd(c,g);clb.Gd(a,c)&&clb.Zc(a,c,e,f);h==2?clb.Gd(a,g)&&clb.Zc(a,g,e,f):clb.Gd(a,g)&&clb.Xc(a,g,e,f)}break;case 3:if(clb.Gd(a,u)){clb.Zc(a,u,e,f);clb.pd(a,u.b-u.a,u.d-u.c,q);clb.$c(a,u,e,f,q.a,q.b,c);clb.$c(a,u,e,f,-q.a,-q.b,c)}break;case 4:if(clb.Gd(a,u)){clb.pd(a,u.b-u.a,u.d-u.c,q);clb.$c(a,u,e,f,1.5*q.a,1.5*q.b,c);clb.$c(a,u,e,f,0.5*q.a,0.5*q.b,c);clb.$c(a,u,e,f,-0.5*q.a,-0.5*q.b,c);clb.$c(a,u,e,f,-1.5*q.a,-1.5*q.b,c)}break;case 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c,d,e,f,g,h,i;c=gW(Ykb.yX,emb,6,clb.gn(a.J,b),15,1);for(e=0;e<clb.gn(a.J,b);e++)c[e]=clb.yk(a.J,b,clb.vn(a.J,b,e));alb.jgb(c,alb.Pgb(X1(dlb.ocb.prototype.kc,dlb.ocb,[])));f=clb.Cd(c,0);g=clb.zd(c,0,f);for(d=1;d<c.length;d++){h=clb.Cd(c,d);i=clb.zd(c,d,h);if(g<i){g=i;f=h}}return f};clb.Cd=function Cd(a,b){var c;if(b>0)return (a[b]+a[b-1])/2;c=Fmb+(a[0]+a[a.length-1])/2;return c>Fmb?c-Emb:c};clb.Dd=function Dd(a,b,c,d){var e,f,g,h;h=new clb.Sd;if(b.a==b.b&&b.c==b.d)return;h.a=b.a;h.c=b.c;h.b=b.b;h.d=b.d;g=clb.Ad(h);for(e=0;e<a.Y.a.length;e++){f=dlb.Bi(a.Y,e);if(f.c>g.c+g.b||f.d>g.d+g.a||g.c>f.c+f.b||g.d>f.d+f.a)continue;if(clb.Ed(a,h.a,h.c,e)){if(clb.Ed(a,h.b,h.d,e))return;clb.Hd(a,h,0,e);clb.Dd(a,h,c,d);return}if(clb.Ed(a,h.b,h.d,e)){clb.Hd(a,h,1,e);clb.Dd(a,h,c,d);return}}clb.ad(a,h,c,d)};clb.Ed=function Ed(a,b,c,d){var e;if((a.D&1)!=0)return false;e=dlb.Bi(a.Y,d);return b>e.c&&b<e.c+e.b&&c>e.d&&c<e.d+e.a};clb.Fd=function Fd(a,b){var c;c=a.b;a.b=b.b;b.b=c;c=a.d;a.d=b.d;b.d=c};clb.Gd=function Gd(a,b){var c,d,e,f,g,h;if(b.a==b.b&&b.c==b.d){for(g=new dlb.Obb(a.Y);g.a<g.c.a.length;){f=dlb.Nbb(g);if(plb.TF(f,b.a,b.c))return false}return true}h=clb.Ad(b);c=false;if(b.a>b.b){clb.yd(b);c=true}for(d=0;d<a.Y.a.length;d++){f=dlb.Bi(a.Y,d);if(f.c>h.c+h.b||f.d>h.d+h.a||h.c>f.c+f.b||h.d>f.d+f.a)continue;if(clb.Ed(a,b.a,b.c,d)){if(clb.Ed(a,b.b,b.d,d)){c&&clb.yd(b);return false}clb.Hd(a,b,0,d);e=clb.Gd(a,b);c&&clb.yd(b);return e}if(clb.Ed(a,b.b,b.d,d)){clb.Hd(a,b,1,d);e=clb.Gd(a,b);c&&clb.yd(b);return e}}c&&clb.yd(b);return true};clb.Hd=function Hd(a,b,c,d){var e,f,g,h,i,j,k,l,m,n,o;if(c==0){l=b.a;n=b.c;m=b.b;o=b.d}else{l=b.b;n=b.d;m=b.a;o=b.c}k=dlb.Bi(a.Y,d);i=m>l?k.c+k.b:k.c;j=o>n?k.d+k.a:k.d;e=m-l;f=o-n;if($wnd.Math.abs(e)>$wnd.Math.abs(f)){if(n==o){g=i;h=n}else{g=l+e*(j-n)/f;if(m>l==i>g){h=j}else{g=i;h=n+f*(i-l)/e}}}else{if(l==m){g=l;h=j}else{h=n+f*(i-l)/e;if(o>n==j>h){g=i}else{g=l+e*(j-n)/f;h=j}}}if(c==0){b.a=g;b.c=h}else{b.b=g;b.d=h}};clb.Id=function Id(a){var b,c,d,e;if(a.J.q==0)return;clb.Gt(a.J,(a.D&256)!=0?63:(a.D&512)!=0?95:31);clb.Uc(a);c=clb.Lt(a.J);d=false;a.p=gW(Ykb.AX,gmb,6,a.J.q,15,1);for(b=0;b<a.J.q;b++){a.p[b]=clb.ek(a.J,b);a.p[b]!=0&&(d=true);clb.nl(a.J,b)&&(a.p[b]=128);clb.Sk(a.J,b)&&(a.D&lnb)==0&&(a.p[b]=256)}clb.Kd(a,-10);clb.hd(a);clb.gd(a);clb.jd(a);clb.Sc(a);clb.Os(a,a.V);clb.Ms(a,a.W);clb.Kd(a,a.O);clb.md(a);alb.igb(a.S.a,0);alb.igb(a.Y.a,0);if((a.D&1)!=0){clb.rd(a,c);clb.sd(a);clb.vd(a)}for(e=0;e<a.J.q;e++){if(clb.ld(a,e)){clb.Kd(a,-3);clb.td(a,e,c);clb.Kd(a,a.O)}else 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c,d,e,f,g,h,i,j,k,l,m,n;for(k=0;k<b.i.a.length;k++){n=dlb.Bi(b.j,k).length;if(n==3||n==5||n==7){l=dlb.Bi(b.i,k);for(d=0;d<n;d++){c=l[d];clb.be(a,c)&&(n==5?(clb.uk(a.f,c)==6&&clb.dk(a.f,c)==-1&&clb.gn(a.f,c)==3||clb.uk(a.f,c)==7&&clb.dk(a.f,c)==0&&clb.gn(a.f,c)==3||clb.uk(a.f,c)==8&&clb.dk(a.f,c)==0&&clb.wn(a.f,c)==2||clb.uk(a.f,c)==16&&clb.dk(a.f,c)==0&&clb.wn(a.f,c)==2||clb.uk(a.f,c)==34&&clb.dk(a.f,c)==0&&clb.wn(a.f,c)==2)&&clb.ie(a,c):(clb.uk(a.f,c)==5&&clb.dk(a.f,c)==0&&clb.gn(a.f,c)==3||clb.uk(a.f,c)==6&&clb.dk(a.f,c)==1)&&clb.ie(a,c))}}}for(j=0;j<b.i.a.length;j++){if(dlb.Bi(b.j,j).length==5){m=dlb.Bi(b.j,j);f=true;for(e=0;e<m.length;e++){if(!a.e[m[e]]){f=false;break}}if(f){l=dlb.Bi(b.i,j);h=0;g=-1;for(d=0;d<m.length;d++){if(clb.dk(a.f,l[d])==-1&&clb.uk(a.f,l[d])==6){i=clb.gn(a.f,l[d])==3?3:clb.hn(a.f,l[d])==3?2:1;if(h<i){h=i;g=l[d]}}}g!=-1&&clb.ie(a,g)}}}};clb.me=function me(a){this.f=a};U1(75,1,{},clb.me);_.a=false;_.b=0;_.c=0;_.g=0;Ykb.HX=w3(75);clb.ne=function ne(a,b){var c,d;c=0;for(d=0;d<a.j[b];d++)a.n[b][d]==2&&(clb.uk(a,a.i[b][d])==7||clb.uk(a,a.i[b][d])==8||clb.uk(a,a.i[b][d])==16)&&++c;return c};clb.oe=function oe(a,b){var c,d,e,f,g,h;if(a.s[b]==0){return false}h=true;c=a.s[b];f=a.j[b];g=0;for(d=0;d<f;d++){e=a.i[b][d];g+=a.s[e]}$wnd.Math.abs(c)<=$wnd.Math.abs(g)&&Zkb.M4(c)!=Zkb.M4(g)&&(h=false);return h};clb.pe=function pe(a,b){var c,d,e,f,g,h,i;if(a.C[b]!=8||a.s[b]!=0||a.j[b]!=1||a.n[b][0]!=1)return false;c=a.i[b][0];if(a.C[c]==6){g=a.j[c];for(d=0;d<g;d++){e=a.i[c][d];if(e==b){continue}if(a.C[e]!=8){continue}f=clb.tn(a,c,e);if(a.H[f]==2)return true}}else if(a.C[c]==7){if(a.s[c]==1)return true}else if(a.C[c]==16){h=a.j[c];i=0;for(d=0;d<h;d++){e=a.i[c][d];if(e==b)continue;if(a.C[e]!=8)continue;f=clb.tn(a,c,e);a.H[f]==2&&++i}if(i==2)return true}else if(clb.qe(a,b))return true;return false};clb.qe=function qe(a,b){var c,d,e,f,g;if(a.C[b]!=8)return false;if(a.j[b]!=1)return false;c=a.i[b][0];if(a.C[c]==15){g=a.j[c];for(d=0;d<g;d++){e=a.i[c][d];if(e==b)continue;if(a.C[e]!=8)continue;f=clb.tn(a,c,e);if(a.H[f]==2)return true}}return false};clb.re=function re(a,b){var c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,A;if(a.C[b]!=7||a.s[b]!=0||a.j[b]+a.o[b]>3)return false;if(b<a.f&&clb.rr(a.p,b)){if(a.o[b]!=1)return false;if(clb.pn(a,b,7)!=1)return false;u=(clb.Gt(a,7),a.p);for(s=0;s<u.i.a.length;s++){if(clb.tr(u,s,b)){if(dlb.Bi(u.j,s).length==5||dlb.Bi(u.j,s).length==6){v=dlb.Bi(u.i,s);q=-1;for(i=0;i<v.length;i++){if(v[i]==b){q=i;break}}e=0;r=null;p=null;if(v.length==5){r=gW(Ykb.AX,gmb,6,2,15,1);r[0]=v[q-1<0?q+4:q-1];r[1]=v[q-4<0?q+1:q-4];p=gW(Ykb.AX,gmb,6,2,15,1);p[0]=v[q-2<0?q+3:q-2];p[1]=v[q-3<0?q+2:q-3]}if(v.length==6){r=gW(Ykb.AX,gmb,6,3,15,1);r[0]=v[q-1<0?q+5:q-1];r[1]=v[q-3<0?q+3:q-3];r[2]=v[q-5<0?q+1:q-5];p=gW(Ykb.AX,gmb,6,2,15,1);p[0]=v[q-2<0?q+4:q-2];p[1]=v[q-4<0?q+2:q-4]}for(j=0;j<v.length;j++)b!=v[j]&&clb.uk(a,v[j])==7&&clb.mn(a,v[j])==1&&--e;for(k=0;k<r.length;k++){f=-1;g=-1;for(o=0;o<clb.wn(a,r[k]);o++){if(!clb.mo(a,clb.xn(a,r[k],o))){f=clb.vn(a,r[k],o);g=clb.xn(a,r[k],o);break}}if(f!=-1){if(a.C[f]==7&&a.o[f]==0&&a.j[f]+a.o[f]<=3&&!clb.se(a,f,false)){++e;continue}if(a.C[f]==8&&a.j[f]==1){e+=2;continue}if(g<a.g&&clb.sr(a.p,g)){for(w=0;w<u.i.a.length;w++){if(u.d[w]&&clb.tr(u,w,f)){t=dlb.Bi(u.i,w);for(n=0;n<t.length;n++){if(clb.uk(a,t[n])==7&&clb.mn(a,t[n])==1){--e;break}}break}}}}}for(l=0;l<p.length;l++){f=-1;for(n=0;n<clb.wn(a,p[l]);n++)clb.mo(a,clb.xn(a,p[l],n))||(f=clb.vn(a,p[l],n));clb.uk(a,p[l])==6?f!=-1&&clb.ne(a,f)!=0&&--e:clb.uk(a,p[l])==7&&clb.mn(a,p[l])==0&&(f==-1||!(f<a.f&&clb.rr(a.p,f))&&clb.ne(a,f)==0)&&++e}return e>0}break}}return false}if(a.o[b]>1)return false;if(a.o[b]==1){m=-1;A=0;for(i=0;i<a.j[b];i++){d=a.i[b][i];if(a.n[b][i]==2){if(a.C[d]!=6)return false;m=d;continue}if(a.C[d]==8)return false;if(a.C[d]==7){--A;clb.se(a,d,false)&&--A;continue}d<a.f&&clb.rr(a.p,d)&&--A}if(m==-1)return false;c=0;for(j=0;j<a.j[m];j++){if(a.n[m][j]==1){d=a.i[m][j];if(clb.ne(a,d)!=0)return false;d<a.f&&clb.rr(a.p,d)&&++c;a.C[d]==7&&!clb.se(a,d,true)&&++A;(a.C[d]==8||a.C[d]==16)&&--A}}c==2&&--A;return A>=0}for(h=0;h<a.j[b];h++){d=a.i[b][h];if(d<a.f&&clb.rr(a.p,d))return false;if(a.C[d]!=6)return false;if(clb.ne(a,d)!=0)return false;if(a.o[d]!=0&&clb.te(a,d))return false}return true};clb.se=function se(a,b,c){var d,e,f;d=false;for(f=0;f<a.j[b];f++){if(!clb.mo(a,a.k[b][f])&&a.n[b][f]==1){e=a.i[b][f];if(!(e<a.f&&clb.rr(a.p,e))&&(a.C[e]==6&&clb.ne(a,e)==1||a.C[e]==16&&clb.ne(a,e)==2)){if(d||!c)return true;d=true}}}return false};clb.te=function te(a,b){var c,d,e;for(d=0;d<a.j[b];d++){if(a.n[b][d]!=1){c=a.i[b][d];for(e=0;e<a.j[c];e++)if(a.n[c][e]==1&&clb.ne(a,a.i[c][e])!=0)return true}}return false};clb.we=function we(){clb.we=W1;clb.ue=oW(aW(Ykb.Y0,1),znb,6,15,[-1,-1,-1,0,0,1,2,3,4,5,-1,0,0,0,6,7,8,9,-1,0,0,10,10,10,10,10,10,10,10,10,10,1,11,11,12,13,-1,0,0,10,10,10,10,10,10,10,10,10,10,0,0,0,11,14,-1,0,0,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,10,10,10,10,10,10,10,10,1,1,1,1,-1,-1,-1,-1,15,15,15,15,15,15,15,15,15,15,15,15,15,15,15,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1]);clb.ve=oW(aW(Ykb.Y0,1),znb,6,15,[-1,-1,-1,0,0,0,2,5,5,5,-1,0,0,0,0,9,9,9,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9,9,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,9,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,-1,-1,-1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1])};clb.xe=function xe(a,b,c){clb.we();var d,e,f,g,h,i,j,k,l,m,n,o,p,q;clb.Gt(a,7);n=gW(Ykb.BX,Anb,6,a.j[b],14,1);m=0;for(i=0;i<a.j[b];i++){e=a.i[b][i];if(a.C[e]==1)continue;g=0;if((c&32)!=0){f=q1(a.n[b][i]);c==32190?j1(f,3)<0&&clb.qo(a,a.k[b][i])&&a.o[b]==1&&(f=0):j1(f,3)<0&&clb.mo(a,a.k[b][i])&&(f=0);g=B1(g,C1(f,4))}if((c&128)!=0){if(clb.ue[a.C[e]]==-1)throw c1(new Zkb.rz(Bnb+a.C[e]));g=d1(g,q1(clb.ue[a.C[e]]))}else if((c&64)!=0){if(clb.ve[a.C[e]]==-1)throw c1(new Zkb.rz(Bnb+a.C[e]));g=d1(g,q1(clb.ve[a.C[e]]))}if((c&256)!=0){o=a.j[e]-1;o>3&&(o=3);(c&512)==0&&o>1&&(o=1);g=B1(g,Ykb.m1(o<<6))}(c&Nmb)!=0&&(a.u[e]&8)!=0&&(g=B1(g,256));(c&lnb)!=0&&e<a.f&&clb.rr(a.p,e)&&(g=B1(g,512));(c&Hmb)!=0&&(a.u[e]&knb)!=0&&(g=B1(g,Nmb));k=0;while(j1(g,n[k])<0)++k;for(l=i;l>k;l--)n[l]=n[l-1];n[k]=g;++m}m>4&&(m=4);d=0;for(j=0;j<m;j++){d=C1(d,11);d=B1(d,n[j])}d=C1(d,15);if(clb.ue[a.C[b]]==-1)throw c1(new Zkb.rz(Bnb+a.C[b]));d=B1(d,q1(clb.ue[a.C[b]]));if((c&2)!=0){q=!!a.p&&b<a.f?clb.gr(a.p,b):0;q>9&&(q=9);q>2&&(q-=2);d=B1(d,Ykb.m1(q<<4))}else (c&1)!=0&&(a.u[b]&8)!=0&&(d=B1(d,64));(c&4)!=0&&b<a.f&&clb.rr(a.p,b)&&(d=B1(d,Nmb));(c&8)!=0&&(a.u[b]&Imb)!=0&&(d=B1(d,lnb));(c&16)!=0&&(a.u[b]&knb)!=0&&(d=B1(d,Imb));if((c&Imb)!=0){clb.oe(a,b)&&(d=B1(d,knb));if(clb.re(a,b)){for(h=0;h<a.f;h++){if(clb.pe(a,h)){d=B1(d,Hmb);break}}}}if((c&knb)!=0){p=q1(clb.pn(a,b,10));d=B1(d,C1(p,7))}return d};clb.ye=function ye(a,b,c,d,e,f){var g,h,i,j;i=0;for(h=0;h<a.P.f;h++)z1(e1(clb.pk(a.P,a.w[h]),d),0)&&++i;if(i==0)return;clb.wf(a,b);clb.rf(a,Ykb.m1(i),c);for(g=0;g<a.P.f;g++){j=e1(clb.pk(a.P,a.w[g]),d);if(j1(j,0)!=0){clb.rf(a,Ykb.m1(g),c);e!=1&&clb.rf(a,D1(j,f),e)}}};clb.ze=function ze(a,b,c,d,e,f){var g,h,i,j;i=0;for(h=0;h<a.P.g;h++)(clb.Jk(a.P,a.A[h])&d)!=0&&++i;if(i==0)return;clb.wf(a,b);clb.rf(a,Ykb.m1(i),c);for(g=0;g<a.P.g;g++){j=clb.Jk(a.P,a.A[g])&d;if(j!=0){clb.rf(a,Ykb.m1(g),c);e!=1&&clb.rf(a,Ykb.m1(j>>f),e)}}};clb.Ae=function Ae(a){var b,c,d,e,f,g;while(true){f=gW(Ykb.Z0,Amb,6,a.S+1,16,1);d=-1;for(c=0;c<a.P.f;c++){if(clb.Ln(a.P,c)!=0){f[a.d[c]]&&d<a.d[c]&&(d=a.d[c]);f[a.d[c]]=true}}if(d==-1)break;e=0;for(b=0;b<a.P.f;b++){g=0;a.d[b]==d&&(g=++e);clb.sg(a.c[b],b);clb.pg(a.c[b],a.b,q1(a.d[b]));clb.pg(a.c[b],8,Ykb.m1(g))}a.S=clb._e(a)}};clb.Be=function Be(a){var b,c,d,e;for(c=0;c<a.P.f;c++){clb.sg(a.c[c],c);clb.pg(a.c[c],2*a.b+4,C1(q1(a.d[c]),a.b+4))}e=false;for(b=0;b<a.P.f;b++)e=e|clb.Oe(a,b,3);for(d=0;d<a.P.g;d++)e=e|clb.Je(a,d,3);if(!e)return false;while(a.S<a.P.f){e=clb.Ye(a);if(!e)break;clb.$e(a);!!a.N&&clb.Ig(a.N,a.d)}return true};clb.Ce=function Ce(a){var b,c,d,e,f;for(c=0;c<a.P.f;c++){clb.sg(a.c[c],c);clb.pg(a.c[c],a.b+1,q1(2*a.d[c]))}f=gW(Ykb.AX,gmb,6,a.S+1,15,1);for(d=0;d<a.P.f;d++)++f[a.d[d]];e=1;while(f[e]==1)++e;for(b=0;b<a.P.f;b++){if(a.d[b]==e){clb.qg(a.c[b],1);break}}a.S=clb._e(a)};clb.De=function De(a,b,c){var d,e,f,g,h;if(clb.uk(a.P,b)!=6&&clb.uk(a.P,b)!=7)return false;e=clb.vn(a.P,b,0);f=clb.vn(a.P,b,1);if(clb.mn(a.P,e)!=1||clb.mn(a.P,f)!=1)return false;if(clb.wn(a.P,e)==1||clb.wn(a.P,f)==1)return false;if(clb.gn(a.P,e)>3||clb.gn(a.P,f)>3)return false;g=new clb.oj(a.P,a.d,b,e);if(g.f&&c==1)return false;h=new clb.oj(a.P,a.d,b,f);if(h.f&&c==1)return false;if(g.f&&h.f)return false;if(c==3){g.f&&g.c&&(a.U[b]=true);h.f&&h.c&&(a.U[b]=true)}d=a.hb?clb.Fe(a,g,h):clb.Ee(g,h);if(c==1){a.bb[b]=d}else if(c==2){g.f&&(d==1?clb.qg(a.c[g.b],q1(a.d[e])):clb.qg(a.c[g.d],q1(a.d[e])));h.f&&(d==2?clb.qg(a.c[h.b],q1(a.d[f])):clb.qg(a.c[h.d],q1(a.d[f])))}return true};clb.Ee=function Ee(a,b){var c,d,e;d=clb.nj(a);e=clb.nj(b);if(d==-1||e==-1||(d+e&1)==0)return 3;c=0;switch(d+e){case 3:case 7:c=2;break;case 5:c=1;}return c};clb.Fe=function Fe(a,b,c){var d,e;d=gW(Ykb.AX,gmb,6,4,15,1);d[0]=b.b;d[1]=b.a;d[2]=c.a;d[3]=c.b;e=clb.Jj(a.P,d);if($wnd.Math.abs(e)<0.3||$wnd.Math.abs(e)>Cnb)return 3;return e<0?2:1};clb.Ge=function Ge(a,b,c){var d,e,f,g,h;if(!clb.no(a.P,b))return false;d=clb.zk(a.P,0,b);e=clb.zk(a.P,1,b);g=new clb.oj(a.P,a.d,d,e);if(g.f&&c==1)return false;h=new clb.oj(a.P,a.d,e,d);if(h.f&&c==1)return false;if(g.f&&h.f)return false;if(c==3){g.f&&(a.T[b]=clb.Mf(a,e));h.f&&(a.T[b]=clb.Mf(a,d))}f=a.hb?clb.Ie(a,g,h):clb.He(g,h);if(c==1){a.k[b]=f}else if(c==2){g.f&&(f==2?clb.qg(a.c[g.b],q1(a.d[e])):clb.qg(a.c[g.d],q1(a.d[e])));h.f&&(f==2?clb.qg(a.c[h.b],q1(a.d[d])):clb.qg(a.c[h.d],q1(a.d[d])))}return true};clb.He=function He(a,b){var c,d,e;d=clb.nj(a);e=clb.nj(b);if(d==-1||e==-1||(d+e&1)==0)return 3;c=0;switch(d+e){case 3:case 7:c=1;break;case 5:c=2;}return c};clb.Ie=function Ie(a,b,c){var d,e;d=gW(Ykb.AX,gmb,6,4,15,1);d[0]=b.b;d[1]=b.a;d[2]=c.a;d[3]=c.b;e=clb.Jj(a.P,d);if($wnd.Math.abs(e)<0.3||$wnd.Math.abs(e)>Cnb)return 3;return e<0?1:2};clb.Je=function Je(a,b,c){var d,e,f,g,h;if(a.k[b]!=0)return false;if(clb.Hk(a.P,b)==1)return clb.Ge(a,b,c);if(clb.Hk(a.P,b)!=2)return false;if(clb.mo(a.P,b))return false;e=clb.zk(a.P,0,b);f=clb.zk(a.P,1,b);if(clb.wn(a.P,e)==1||clb.wn(a.P,f)==1)return false;if(clb.wn(a.P,e)>3||clb.wn(a.P,f)>3)return false;if(clb.mn(a.P,e)==2||clb.mn(a.P,f)==2)return false;g=new clb.oj(a.P,a.d,f,e);if(g.f&&c==1)return false;h=new clb.oj(a.P,a.d,e,f);if(h.f&&c==1)return false;if(g.f&&h.f)return false;if(c==3){g.f&&g.c&&(a.T[b]=true);h.f&&h.c&&(a.T[b]=true)}d=clb.fl(a.P,b)?3:a.hb?clb.Le(a,g,h):clb.Ke(g,h);if(c==1){a.k[b]=d}else if(c==2){g.f&&(d==1?clb.qg(a.c[g.b],q1(a.d[e])):d==2&&clb.qg(a.c[g.d],q1(a.d[e])));h.f&&(d==1?clb.qg(a.c[h.b],q1(a.d[f])):d==2&&clb.qg(a.c[h.d],q1(a.d[f])))}return true};clb.Ke=function Ke(a,b){if(clb.nj(a)==-1||clb.nj(b)==-1)return 3;if(((clb.nj(a)|clb.nj(b))&1)!=0)return 3;return clb.nj(a)==clb.nj(b)?1:2};\nclb.Le=function Le(a,b,c){var d,e,f,g,h,i,j;f=gW(Ykb.yX,emb,6,3,15,1);f[0]=clb.rk(a.P,c.a)-clb.rk(a.P,b.a);f[1]=clb.sk(a.P,c.a)-clb.sk(a.P,b.a);f[2]=clb.tk(a.P,c.a)-clb.tk(a.P,b.a);i=gW(Ykb.yX,emb,6,3,15,1);i[0]=clb.rk(a.P,b.b)-clb.rk(a.P,b.a);i[1]=clb.sk(a.P,b.b)-clb.sk(a.P,b.a);i[2]=clb.tk(a.P,b.b)-clb.tk(a.P,b.a);j=gW(Ykb.yX,emb,6,3,15,1);j[0]=clb.rk(a.P,c.b)-clb.rk(a.P,c.a);j[1]=clb.sk(a.P,c.b)-clb.sk(a.P,c.a);j[2]=clb.tk(a.P,c.b)-clb.tk(a.P,c.a);g=gW(Ykb.yX,emb,6,3,15,1);g[0]=f[1]*i[2]-f[2]*i[1];g[1]=f[2]*i[0]-f[0]*i[2];g[2]=f[0]*i[1]-f[1]*i[0];h=gW(Ykb.yX,emb,6,3,15,1);h[0]=f[1]*g[2]-f[2]*g[1];h[1]=f[2]*g[0]-f[0]*g[2];h[2]=f[0]*g[1]-f[1]*g[0];d=(i[0]*h[0]+i[1]*h[1]+i[2]*h[2])/($wnd.Math.sqrt(i[0]*i[0]+i[1]*i[1]+i[2]*i[2])*$wnd.Math.sqrt(h[0]*h[0]+h[1]*h[1]+h[2]*h[2]));e=(j[0]*h[0]+j[1]*h[1]+j[2]*h[2])/($wnd.Math.sqrt(j[0]*j[0]+j[1]*j[1]+j[2]*j[2])*$wnd.Math.sqrt(h[0]*h[0]+h[1]*h[1]+h[2]*h[2]));return d<0^e<0?1:2};clb.Me=function Me(a,b){var c,d,e,f;c=clb.bk(a.P,b);d=clb.Jn(a.P,b,false);e=clb.Jn(a.P,b,true);f=-1;if(d!=e){c!=-1&&c>d?(f=c<<24>>24):(f=d<<24>>24)}else if(c!=-1){(c>e||c<e&&c>=clb.Pn(a.P,b))&&(f=c<<24>>24)}else if(!clb.Ro(a.P,b)&&clb.An(a.P,b)!=0){f=clb.Pn(a.P,b);f-=clb.Ok(a.P,b,f)}clb.gf(a,b,f);return f};clb.Ne=function Ne(a){var b,c,d,e,f,g,h,i,j,k,l;d=gW(Ykb.AX,gmb,6,a.M,15,1);for(b=0;b<a.P.f;b++){k=clb.wn(a.P,b)+clb.Mn(a.P,b);j=0;for(f=0;f<clb.hn(a.P,b);f++){if(f<clb.wn(a.P,b)||f>=clb.gn(a.P,b)){l=2*a.d[clb.vn(a.P,b,f)];c=clb.xn(a.P,b,f);clb.Hk(a.P,c)==2&&(clb.mo(a.P,c)||++l);for(h=0;h<j;h++)if(l<d[h])break;for(i=j;i>h;i--)d[i]=d[i-1];d[h]=l;++j}}clb.sg(a.c[b],b);clb.pg(a.c[b],a.b,q1(a.d[b]));for(g=k;g<a.M;g++)clb.pg(a.c[b],a.b+1,0);for(e=0;e<k;e++)clb.pg(a.c[b],a.b+1,Ykb.m1(d[e]))}};clb.Oe=function Oe(a,b,c){var d,e,f,g,h,i,j,k,l,m,n,o;if(a.bb[b]!=0)return false;if(clb.uk(a.P,b)!=5&&clb.uk(a.P,b)!=6&&clb.uk(a.P,b)!=7&&clb.uk(a.P,b)!=14&&clb.uk(a.P,b)!=15&&clb.uk(a.P,b)!=16)return false;if(clb.mn(a.P,b)!=0){if(clb.oo(a.P,b))return clb.De(a,b,c);if(clb.uk(a.P,b)!=15&&clb.uk(a.P,b)!=16)return false}if(clb.wn(a.P,b)<3||clb.gn(a.P,b)>4)return false;if(clb.dk(a.P,b)>0&&clb.uk(a.P,b)==6)return false;if(clb.uk(a.P,b)==5&&clb.gn(a.P,b)!=4)return false;if(clb.uk(a.P,b)==7&&!a.Q[b])return false;n=gW(Ykb.AX,gmb,6,4,15,1);o=gW(Ykb.AX,gmb,6,4,15,1);j=gW(Ykb.Z0,Amb,6,4,16,1);for(h=0;h<clb.gn(a.P,b);h++){f=-1;e=0;for(i=0;i<clb.gn(a.P,b);i++){if(!j[i]){if(f<a.d[clb.vn(a.P,b,i)]){f=a.d[clb.vn(a.P,b,i)];e=i}}}n[h]=e;o[h]=f;j[e]=true}if(clb.gn(a.P,b)==4&&o[0]==o[1]&&o[2]==o[3])return false;if(clb.gn(a.P,b)==4&&(o[0]==o[2]||o[1]==o[3]))return false;if(clb.gn(a.P,b)==3&&o[0]==o[2])return false;k=0;l=0;m=false;for(g=1;g<clb.gn(a.P,b);g++){if(o[g-1]==o[g]){if(c==1||o[g]==0)return false;k=clb.vn(a.P,b,n[g-1]);l=clb.vn(a.P,b,n[g]);c==3&&clb.zo(a.P,clb.xn(a.P,b,n[g]))&&(a.U[b]=true);m=true}}if(c!=1&&!m)return false;d=a.hb?clb.Qe(a,b,n):clb.Pe(a,b,n);c==1?(a.bb[b]=d):c==2&&(d==1?clb.qg(a.c[k],q1(a.d[b])):d==2&&clb.qg(a.c[l],q1(a.d[b])));return true};clb.Pe=function Pe(a,b,c){var d,e,f,g,h,i,j,k,l,m;m=oW(aW(Ykb.AX,2),Dnb,7,0,[oW(aW(Ykb.AX,1),gmb,6,15,[2,1,2,1]),oW(aW(Ykb.AX,1),gmb,6,15,[1,2,2,1]),oW(aW(Ykb.AX,1),gmb,6,15,[1,1,2,2]),oW(aW(Ykb.AX,1),gmb,6,15,[2,1,1,2]),oW(aW(Ykb.AX,1),gmb,6,15,[2,2,1,1]),oW(aW(Ykb.AX,1),gmb,6,15,[1,2,1,2])]);d=gW(Ykb.yX,emb,6,clb.gn(a.P,b),15,1);for(g=0;g<clb.gn(a.P,b);g++)d[g]=clb.yk(a.P,clb.vn(a.P,b,c[g]),b);j=clb.Cn(a.P,b,c,d,null)<<24>>24;if(j!=3)return j;k=0;l=0;for(h=0;h<clb.gn(a.P,b);h++){e=clb.xn(a.P,b,c[h]);if(clb.zk(a.P,0,e)==b){if(clb.Kk(a.P,e)==129){l!=0&&clb.sm(a.P,b);k=h;l=1}if(clb.Kk(a.P,e)==257){l!=0&&clb.sm(a.P,b);k=h;l=2}}}if(l==0)return 3;for(f=1;f<clb.gn(a.P,b);f++)d[f]<d[0]&&(d[f]+=Emb);if(clb.gn(a.P,b)==3){switch(k){case 0:(d[1]<d[2]&&d[2]-d[1]<Fmb||d[1]>d[2]&&d[1]-d[2]>Fmb)&&(l=3-l);break;case 1:d[2]-d[0]>Fmb&&(l=3-l);break;case 2:d[1]-d[0]<Fmb&&(l=3-l);}return l==1?2:1}i=0;d[1]<=d[2]&&d[2]<=d[3]?(i=0):d[1]<=d[3]&&d[3]<=d[2]?(i=1):d[2]<=d[1]&&d[1]<=d[3]?(i=2):d[2]<=d[3]&&d[3]<=d[1]?(i=3):d[3]<=d[1]&&d[1]<=d[2]?(i=4):d[3]<=d[2]&&d[2]<=d[1]&&(i=5);return m[i][k]==l?2:1};clb.Qe=function Qe(a,b,c){var d,e,f,g,h,i;d=gW(Ykb.AX,gmb,6,4,15,1);for(h=0;h<clb.gn(a.P,b);h++)d[h]=clb.vn(a.P,b,c[h]);clb.gn(a.P,b)==3&&(d[3]=b);e=eW(Ykb.yX,[Llb,emb],[12,6],15,[3,3],2);for(g=0;g<3;g++){e[g][0]=clb.rk(a.P,d[g+1])-clb.rk(a.P,d[0]);e[g][1]=clb.sk(a.P,d[g+1])-clb.sk(a.P,d[0]);e[g][2]=clb.tk(a.P,d[g+1])-clb.tk(a.P,d[0])}i=gW(Ykb.yX,emb,6,3,15,1);i[0]=e[0][1]*e[1][2]-e[0][2]*e[1][1];i[1]=e[0][2]*e[1][0]-e[0][0]*e[1][2];i[2]=e[0][0]*e[1][1]-e[0][1]*e[1][0];f=(e[2][0]*i[0]+e[2][1]*i[1]+e[2][2]*i[2])/($wnd.Math.sqrt(e[2][0]*e[2][0]+e[2][1]*e[2][1]+e[2][2]*e[2][2])*$wnd.Math.sqrt(i[0]*i[0]+i[1]*i[1]+i[2]*i[2]));return f>0?1:2};clb.Re=function Re(a){var b,c;b=0;dlb.kcb(a.c);for(c=0;c<a.c.length;c++){(c==0||clb.rg(a.c[c],a.c[c-1])!=0)&&++b;a.d[a.c[c].a]=b}return b};clb.Se=function Se(a){var b,c,d,e,f,g,h,i,j,k,l,m;if(a.v)return;a.v=new dlb.Qi;k=0;l=gW(Ykb.AX,gmb,6,a.P.f,15,1);g=gW(Ykb.AX,gmb,6,a.P.f,15,1);i=gW(Ykb.AX,gmb,6,a.P.g,15,1);for(b=0;b<a.P.f;b++){if(l[b]==0&&(clb.yo(a.P,b)||clb.mn(a.P,b)==1)){g[0]=b;h=1;j=0;l[b]=++k;c=gW(Ykb.Z0,Amb,6,a.P.g,16,1);for(f=0;f<h;f++){for(m=0;m<clb.wn(a.P,g[f]);m++){e=clb.xn(a.P,g[f],m);if(clb.zo(a.P,e)||clb.Hk(a.P,e)==2||clb.no(a.P,e)){d=clb.vn(a.P,g[f],m);if(!c[e]){i[j++]=e;c[e]=true}if(l[d]==0){g[h++]=d;l[d]=k}}}}dlb.wi(a.v,new clb.yg(g,h,i,j))}}};clb.Te=function Te(a){var b;a.Q=gW(Ykb.Z0,Amb,6,a.P.f,16,1);for(b=0;b<a.P.f;b++){if(clb.uk(a.P,b)==7){if(clb.wn(a.P,b)==4){a.Q[b]=true;continue}if(clb.wn(a.P,b)==3){if(clb.qn(a.P,b)==3){a.Q[b]=true;continue}if(clb.dk(a.P,b)==1){a.Q[b]=true;continue}if(clb.so(a.P,b,true))continue;if((a.O&32)!=0){a.Q[b]=true;continue}if(clb.xo(a.P,b)){a.Q[b]=true;continue}}}}};clb.Ue=function Ue(a,b){var c,d,e,f;e=false;for(d=0;d<a.P.g;d++)if(clb.Je(a,d,1)){a.o[d]=a.J;b&&clb.hf(a,d);e=true}f=false;for(c=0;c<a.P.f;c++)if(clb.Oe(a,c,1)){a.gb[c]=a.J;b&&clb.jf(a,c);f=true}f&&(a.J=!a.J);return e||f};clb.Ve=function Ve(a){var b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,A,B;s=gW(Ykb.Z0,Amb,6,a.P.f,16,1);t=gW(Ykb.Z0,Amb,6,a.P.g,16,1);b=0;v=false;if((a.O&128)!=0){a.W=gW(Ykb.AX,gmb,6,a.P.f,15,1);a.V=gW(Ykb.AX,gmb,6,a.P.g,15,1)}for(d=0;d<a.P.f;d++){if(a.U[d]){if(!a.db[d]){if(clb.Oe(a,d,1)){a.db[d]=true;s[d]=true;++b}}}}for(f=0;f<a.P.g;f++){if(a.T[f]){if(!a.n[f]){if(clb.Je(a,f,1)){a.n[f]=true;t[f]=true;++b}}}}if(b==1){for(c=0;c<a.P.f;c++){if(s[c]){a.bb[c]=0;break}}for(e=0;e<a.P.g;e++){if(t[e]){a.k[e]=0;break}}}else if(b>1){clb.Se(a);a.R=0;for(h=new dlb.Obb(a.v);h.a<h.c.a.length;){g=dlb.Nbb(h);u=0;w=0;k=0;j=0;l=-1;i=-1;for(o=0;o<g.a.length;o++){if(s[g.a[o]]){++u;if(a.bb[g.a[o]]==1||a.bb[g.a[o]]==2){++w;v=true;if(l<a.d[g.a[o]]){l=a.d[g.a[o]];k=g.a[o]}}}}for(p=0;p<g.b.length;p++){if(t[g.b[p]]){++u;A=a.d[clb.zk(a.P,0,g.b[p])];B=a.d[clb.zk(a.P,1,g.b[p])];m=A>B?(A<<16)+B:(B<<16)+A;if(a.k[g.b[p]]==1||a.k[g.b[p]]==2){++w;v=true;if(i<m){i=m;j=g.b[p]}}}}if(u==0)continue;if(u==1){for(q=0;q<g.a.length;q++)s[g.a[q]]&&(a.bb[g.a[q]]=0);for(n=0;n<g.b.length;n++)t[g.b[n]]&&(a.k[g.b[n]]=0)}else{if(w==1){for(q=0;q<g.a.length;q++)s[g.a[q]]&&(a.bb[g.a[q]]=3);for(n=0;n<g.b.length;n++)t[g.b[n]]&&(a.k[g.b[n]]=3)}else{if((a.O&128)!=0){++a.R;for(q=0;q<g.a.length;q++)s[g.a[q]]&&(a.W[g.a[q]]=a.R);for(n=0;n<g.b.length;n++)t[g.b[n]]&&(a.V[g.b[n]]=a.R)}r=false;l!=-1?a.bb[k]==2&&(r=true):a.k[j]==2&&(r=true);if(r){for(q=0;q<g.a.length;q++){if(s[g.a[q]]){switch(a.bb[g.a[q]]){case 1:a.bb[g.a[q]]=2;break;case 2:a.bb[g.a[q]]=1;}}}for(n=0;n<g.b.length;n++){if(t[g.b[n]]){switch(a.k[g.b[n]]){case 1:a.k[g.b[n]]=2;break;case 2:a.k[g.b[n]]=1;}}}}}}}}return v};clb.We=function We(a,b){var c,d,e,f,g,h,i,j,k,l,m;f=eW(Ykb.AX,[Dnb,gmb],[7,6],15,[2,32],2);for(g=0;g<2;g++){c=gW(Ykb.AX,Dnb,7,32,0,2);m=0;for(e=0;e<32;e++){if(b[g][e]!=null){k=b[g][e].length;c[e]=gW(Ykb.AX,gmb,6,k,15,1);for(h=0;h<k;h++)c[e][h]=a.d[b[g][e][h]];alb.jgb(c[e],alb.Pgb(X1(dlb.ucb.prototype.kc,dlb.ucb,[])));++m}}for(l=m;l>0;l--){j=0;i=null;for(d=0;d<32;d++){if(c[d]!=null){if(i==null||i.length<c[d].length){i=c[d];j=d}else if(i.length==c[d].length){for(h=i.length-1;h>=0;h--){if(i[h]<c[d][h]){i=c[d];j=d;break}}}}}f[g][j]=l;c[j]=null}}return f};clb.Xe=function Xe(a){var b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t;l=false;if(a.P.K){for(j=0;j<a.P.g;j++){if(clb.Jk(a.P,j)!=0){l=true;break}}}a.M=2;for(c=0;c<a.P.f;c++)a.M=$wnd.Math.max(a.M,clb.wn(a.P,c)+clb.Mn(a.P,c));i=$wnd.Math.max(2,l?(62+a.b+a.M*(a.b+23))/63|0:(62+a.b+a.M*(a.b+5))/63|0);a.d=gW(Ykb.AX,gmb,6,a.P.q,15,1);a.c=gW(Ykb.MX,Enb,110,a.P.f,0,1);for(d=0;d<a.P.f;d++)a.c[d]=new clb.tg(i);h=false;for(e=0;e<a.P.f;e++){clb.sg(a.c[e],e);z1(e1(clb.pk(a.P,e),1),0)||clb.kk(a.P,e)!=null?clb.pg(a.c[e],8,6):clb.pg(a.c[e],8,q1(clb.uk(a.P,e)));clb.pg(a.c[e],8,q1(clb.nk(a.P,e)));clb.pg(a.c[e],2,q1(clb.mn(a.P,e)));clb.pg(a.c[e],4,q1(clb.wn(a.P,e)+clb.Mn(a.P,e)));z1(e1(clb.pk(a.P,e),1),0)?clb.pg(a.c[e],4,8):clb.pg(a.c[e],4,q1(8+clb.dk(a.P,e)));clb.pg(a.c[e],5,q1($wnd.Math.min(31,clb.qn(a.P,e))));clb.pg(a.c[e],4,q1(clb.Me(a,e)+1));clb.pg(a.c[e],2,q1(clb.qk(a.P,e)>>4));if(a.P.K){clb.pg(a.c[e],46,clb.pk(a.P,e));clb.kk(a.P,e)!=null&&(h=true)}}a.S=clb._e(a);if(a.S<a.P.f){for(b=0;b<a.P.f;b++){clb.sg(a.c[b],b);clb.pg(a.c[b],a.b,q1(a.d[b]));m=gW(Ykb.AX,gmb,6,clb.wn(a.P,b),15,1);for(o=0;o<clb.wn(a.P,b);o++){m[o]=a.d[clb.vn(a.P,b,o)]<<5;m[o]|=$wnd.Math.min(31,clb.un(a.P,clb.xn(a.P,b,o)))}alb.jgb(m,alb.Pgb(X1(dlb.ucb.prototype.kc,dlb.ucb,[])));for(p=a.M;p>m.length;p--)clb.pg(a.c[b],a.b+5,0);for(n=m.length-1;n>=0;n--)clb.pg(a.c[b],a.b+5,Ykb.m1(m[n]))}a.S=clb._e(a)}if(h&&a.S<a.P.f){for(b=0;b<a.P.f;b++){clb.sg(a.c[b],b);clb.pg(a.c[b],a.b,q1(a.d[b]));g=clb.kk(a.P,b);s=g==null?0:$wnd.Math.min(12,g.length);for(o=12;o>s;o--)clb.pg(a.c[b],8,0);for(n=s-1;n>=0;n--)clb.pg(a.c[b],8,Ykb.m1(g[n]))}a.S=clb._e(a)}if(l&&a.S<a.P.f){for(b=0;b<a.P.f;b++){clb.sg(a.c[b],b);clb.pg(a.c[b],a.b,q1(a.d[b]));k=gW(Ykb.BX,Anb,6,clb.wn(a.P,b)+clb.Mn(a.P,b),14,1);q=0;for(o=0;o<clb.hn(a.P,b);o++){if(o<clb.wn(a.P,b)||o>=clb.gn(a.P,b)){k[q]=q1(a.d[clb.vn(a.P,b,o)]);k[q]=C1(k[q],23);k[q]=B1(k[q],q1(clb.Jk(a.P,clb.xn(a.P,b,o))));++q}}alb.jgb(k,alb.Pgb(X1(dlb.rcb.prototype.lc,dlb.rcb,[])));for(p=a.M;p>k.length;p--)clb.pg(a.c[b],a.b+23,0);for(n=k.length-1;n>=0;n--)clb.pg(a.c[b],a.b+23,k[n])}a.S=clb._e(a)}if((a.O&8)!=0&&a.S<a.P.f){r=new clb.Dt;for(f=0;f<a.P.f;f++)clb.fk(a.P,f)!=null&&clb.Bt(r,clb.fk(a.P,f));for(b=0;b<a.P.f;b++){t=clb.fk(a.P,b)==null?0:1+clb.Ct(r,clb.fk(a.P,b));clb.sg(a.c[b],b);clb.pg(a.c[b],a.b,q1(a.d[b]));clb.pg(a.c[b],a.b,Ykb.m1(t))}a.S=clb._e(a)}if((a.O&16)!=0&&a.S<a.P.f){for(b=0;b<a.P.f;b++){clb.sg(a.c[b],b);clb.pg(a.c[b],a.b,q1(a.d[b]));clb.pg(a.c[b],1,q1(clb.nl(a.P,b)?1:0))}a.S=clb._e(a)}(a.O&512)!=0&&a.P.K&&clb.Ae(a)};clb.Ye=function Ye(a){var b,c,d,e,f,g,h,i,j;for(c=0;c<a.P.f;c++){clb.sg(a.c[c],c);clb.pg(a.c[c],2*a.b+4,C1(q1(a.d[c]),a.b+4))}for(i=1;i<=a.S;i++){e=false;for(d=0;d<a.P.f;d++)a.d[d]==i&&(e=e|clb.Oe(a,d,2));if(e){h=a.S;a.S=clb._e(a);if(a.S!=h)return true;for(b=0;b<a.P.f;b++){clb.sg(a.c[b],b);clb.pg(a.c[b],2*a.b+4,C1(q1(a.d[b]),a.b+4))}}}j=gW(Ykb.NX,Enb,140,a.P.g,0,1);for(g=0;g<j.length;g++)j[g]=new 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b,c,d,e,f,g,h,i,j,k,l,m,n;h=false;for(i=0;i<a.fb.a.length;i++){g=dlb.Bi(a.fb,i);b=true;n=-1;j=false;for(l=0;l<g.length;l++){c=g[l];if(a.bb[c]==0){b=false;break}if(a.bb[c]!=3){k=true;for(m=0;m<g.length;m++){if(m!=l&&a.d[c]==a.d[g[m]]){k=false;break}}if(k&&n<a.d[c]){n=a.d[c];j=a.bb[c]==1}}}if(b&&n!=-1){for(d=g,e=0,f=d.length;e<f;++e){c=d[e];(a.bb[c]==1||a.bb[c]==2)&&(a.cb[c]=j);a.eb[c]=false}dlb.Ji(a.fb,g);h=true;--i}}return h};clb._e=function _e(a){var b,c;b=clb.Re(a);do{c=b;clb.Ne(a);b=clb.Re(a)}while(c!=b);return b};clb.af=function af(a){(a.O&1)!=0&&(a.O&2)==0&&(a.e=dlb.Ubb(a.d,a.P.f));if((a.O&lnb)==0){a.U=gW(Ykb.Z0,Amb,6,a.P.f,16,1);a.T=gW(Ykb.Z0,Amb,6,a.P.g,16,1);if(a.S<a.P.f){clb.Be(a);if((a.O&lnb)==0){clb.$e(a);!!a.N&&clb.Ig(a.N,a.d)}}}a.e==null&&(a.O&1)!=0&&(a.O&2)!=0&&(a.e=dlb.Ubb(a.d,a.P.f));while(a.S<a.P.f){clb.Ce(a);if((a.O&lnb)==0){clb.$e(a);!!a.N&&clb.Ig(a.N,a.d)}}if((a.O&lnb)==0){clb.$e(a);clb.Ve(a);clb.zf(a)}};clb.bf=function bf(a){var b,c,d,e,f;f=a.S;e=dlb.Ubb(a.d,a.P.f);if(!a.P.K){clb.df(a);clb.Rf(a,f,e)}a._=gW(Ykb.wX,Fnb,6,a.P.f,15,1);a.$=gW(Ykb.wX,Fnb,6,a.P.f,15,1);for(c=0;c<a.P.f;c++){a._[c]=clb.ik(a.P,c)<<24>>24;a.$[c]=clb.hk(a.P,c)<<24>>24}a.j=gW(Ykb.wX,Fnb,6,a.P.g,15,1);a.i=gW(Ykb.wX,Fnb,6,a.P.g,15,1);for(d=0;d<a.P.g;d++){a.j[d]=clb.Ek(a.P,d)<<24>>24;a.i[d]=clb.Dk(a.P,d)<<24>>24}clb.cf(a);a.X=false;a.K=gW(Ykb.Z0,Amb,6,a.P.f,16,1);for(b=0;b<a.P.f;b++){if(a.bb[b]!=0){a.K[b]=true;a.X=true}}clb.ff(a);a.N=null;a.ab=gW(Ykb.Z0,Amb,6,a.P.f,16,1);if(a.X){a.N=new clb.Og(a.P,e,a.K,a.bb,a.k,a._,a.$,a.gb,a.o,a.ab);clb.Jg(a.N)}a.cb=gW(Ykb.Z0,Amb,6,a.P.f,16,1);a.eb=gW(Ykb.Z0,Amb,6,a.P.f,16,1);a.fb=new dlb.Qi;!!a.N&&clb.Ig(a.N,a.d);clb.Ze(a);clb.Rf(a,f,e);clb.ef(a);!!a.N&&(a.I=clb.Fg(a.N));clb.qf(a)};clb.cf=function cf(a){var b,c,d,e,f,g;a.J=true;f=clb.Ue(a,false);while(a.S<a.P.f&&f){for(b=0;b<a.P.f;b++){clb.sg(a.c[b],b);clb.pg(a.c[b],a.b,q1(a.d[b]));g=a.bb[b]<<7;if((a.bb[b]==1||a.bb[b]==2)&&a._[b]!=0){g|=a._[b]<<5;g|=a.$[b]}clb.pg(a.c[b],18,Ykb.m1(g<<9))}for(c=0;c<a.P.g;c++){d=a.k[c]<<7;if((a.k[c]==1||a.k[c]==2)&&clb.Kk(a.P,c)==1&&a.j[c]!=0){d|=a.j[c]<<5;d|=a.i[c]}clb.qg(a.c[clb.zk(a.P,0,c)],Ykb.m1(d));clb.qg(a.c[clb.zk(a.P,1,c)],Ykb.m1(d))}e=clb._e(a);if(a.S==e)break;a.S=e;f=clb.Ue(a,false)}};clb.df=function df(a){var b,c,d,e;a.J=true;a.Y=gW(Ykb.wX,Fnb,6,a.P.f,15,1);a.f=gW(Ykb.wX,Fnb,6,a.P.g,15,1);e=clb.Ue(a,true);while(a.S<a.P.f&&e){for(b=0;b<a.P.f;b++){clb.sg(a.c[b],b);clb.pg(a.c[b],a.b+4,q1(a.d[b]<<4|a.bb[b]<<2))}for(c=0;c<a.P.g;c++){clb.qg(a.c[clb.zk(a.P,0,c)],q1(a.k[c]));clb.qg(a.c[clb.zk(a.P,1,c)],q1(a.k[c]))}d=clb._e(a);if(a.S==d)break;a.S=d;e=clb.Ue(a,true)}};clb.ef=function ef(a){var b,c,d,e,f,g,h;a.J=true;d=clb.pf(a);!!a.N&&clb.Ig(a.N,a.d)&&(d=clb.pf(a));clb.Ue(a,false)&&clb.$e(a);g=true;while(a.S<a.P.f&&g){e=clb.We(a,d);for(b=0;b<a.P.f;b++){clb.sg(a.c[b],b);clb.pg(a.c[b],a.b,q1(a.d[b]));clb.pg(a.c[b],20,0);!a.ab[b]&&a._[b]!=0&&clb.qg(a.c[b],q1((a._[b]<<18)+(e[a._[b]==1?0:1][a.$[b]]<<8)));h=a.bb[b];a.cb[b]&&(h==1?(h=2):h==2&&(h=1));clb.qg(a.c[b],Ykb.m1(h<<4))}for(c=0;c<a.P.g;c++){clb.qg(a.c[clb.zk(a.P,0,c)],q1(a.k[c]));clb.qg(a.c[clb.zk(a.P,1,c)],q1(a.k[c]))}f=clb._e(a);if(a.S==f)break;a.S=f;g=false;if(!!a.N&&clb.Ig(a.N,a.d)){g=true;d=clb.pf(a)}if(clb.Ue(a,false)){g=true;clb.$e(a)}}};clb.ff=function ff(a){var b,c;for(b=0;b<a.P.f;b++)(!a.K[b]||a.bb[b]==3)&&(a._[b]=0);for(c=0;c<a.P.g;c++)(clb.Kk(a.P,c)!=1||a.k[c]==0||a.k[c]==3)&&(a.j[c]=0)};clb.gf=function gf(a,b,c){if(a.a==null){a.a=gW(Ykb.wX,Fnb,6,a.P.f,15,1);dlb.Xbb(a.a)}a.a[b]=c<<24>>24};clb.hf=function hf(b,c){var d,e,f,g,h,i;if((b.k[c]==1||b.k[c]==2)&&!clb.Co(b.P,c)){h=false;try{for(g=0;g<2;g++){d=clb.zk(b.P,g,c);if(clb.wn(b.P,d)==3){e=gW(Ykb.AX,gmb,6,2,15,1);f=0;for(i=0;i<clb.wn(b.P,d);i++)clb.xn(b.P,d,i)!=c&&(e[f++]=clb.vn(b.P,d,i));b.d[e[0]]>b.d[e[1]]^clb.kf(b,d,e[0],e[1])&&(h=!h)}}}catch(a){a=b1(a);if(mX(a,15)){b.f[c]=3;return}else throw c1(a)}b.k[c]==1^h?(b.f[c]=1):(b.f[c]=2)}};clb.jf=function jf(b,c){var d,e,f,g,h,i,j;if(b.bb[c]==1||b.bb[c]==2){i=false;if(clb.mn(b.P,c)==2){try{for(h=0;h<2;h++){d=clb.vn(b.P,c,h);if(clb.wn(b.P,d)==3){f=gW(Ykb.AX,gmb,6,2,15,1);g=0;for(j=0;j<clb.wn(b.P,d);j++)clb.yn(b.P,d,j)==1&&(f[g++]=clb.vn(b.P,d,j));b.d[f[0]]>b.d[f[1]]^clb.kf(b,d,f[0],f[1])&&(i=!i)}}}catch(a){a=b1(a);if(mX(a,15)){b.Y[c]=3;return}else throw c1(a)}}else{try{e=clb.mf(b,c)}catch(a){a=b1(a);if(mX(a,15)){b.Y[c]=3;return}else throw c1(a)}for(h=1;h<e.length;h++)for(j=0;j<h;j++)b.d[e[h]]<b.d[e[j]]&&(i=!i)}b.bb[c]==1^i?(b.Y[c]=1):(b.Y[c]=2)}};clb.kf=function kf(a,b,c,d){var e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,A,B,C,D,F,G,H,I,J,K,L;if(clb.uk(a.P,c)!=clb.uk(a.P,d))return clb.uk(a.P,c)>clb.uk(a.P,d);if(clb.nk(a.P,c)!=clb.nk(a.P,d)){H=clb.kl(a.P,c)?(clb.wj(),clb.uj)[clb.uk(a.P,c)]:clb.nk(a.P,c);I=clb.kl(a.P,d)?(clb.wj(),clb.uj)[clb.uk(a.P,d)]:clb.nk(a.P,d);return H>I}w=a.P.f;s=gW(Ykb.AX,gmb,6,w,15,1);u=gW(Ykb.AX,gmb,6,w,15,1);v=gW(Ykb.AX,gmb,6,w,15,1);t=gW(Ykb.Z0,Amb,6,w,16,1);i=gW(Ykb.Z0,Amb,6,a.P.q,16,1);s[0]=b;s[1]=c;s[2]=d;u[0]=-1;u[1]=0;u[2]=0;i[b]=true;i[c]=true;i[d]=true;m=1;A=2;G=gW(Ykb.AX,gmb,6,64,15,1);G[1]=1;G[2]=3;o=2;while(m<=A){while(m<G[o]){n=s[m];if(!t[m]){p=0;q=0;for(C=0;C<clb.wn(a.P,n);C++){k=clb.vn(a.P,n,C);if(A+clb.yn(a.P,n,C)+1>=w){w+=a.P.f;s=clb.Vf(s,w);u=clb.Vf(u,w);v=clb.Vf(v,w);t=clb.Wf(t,w)}if(clb.qo(a.P,clb.xn(a.P,n,C))){++p;q+=clb.uk(a.P,k)}else{for(F=1;F<clb.yn(a.P,n,C);F++){++A;s[A]=k;u[A]=m;t[A]=true}}K=u[m];if(k==s[K])continue;h=false;if(i[k]){J=u[K];while(J!=-1){if(k==s[J]){h=true;break}J=u[J]}}if(h){++A;s[A]=k;u[A]=m;t[A]=true}else{++A;s[A]=k;u[A]=m;i[k]=true}}if(p!=0){++A;v[A]=(q<<2)/p|0;u[A]=m;t[A]=true}}++m;if(m==$lb){throw c1(new Zkb.rz('Emergency break in while loop.'))}}G.length==o+1&&(G=clb.Vf(G,G.length+64));G[o+1]=A+1;for(B=G[o];B<G[o+1];B++){v[B]==0&&(v[B]=(clb.uk(a.P,s[B])==151?1:clb.uk(a.P,s[B])==152?1:clb.uk(a.P,s[B]))<<2);v[B]+=v[u[B]]<<16}clb.of(a,t,v,u,s,G,o);if(v[1]!=v[2])return v[1]>v[2];o>1&&clb.lf(v,u,G,o);++o}l=gW(Ykb.AX,gmb,6,a.P.f,15,1);D=false;for(f=0;f<a.P.f;f++){if(i[f]&&!clb.kl(a.P,f)){D=true;break}}if(D){for(g=0;g<a.P.f;g++)l[g]=clb.kl(a.P,g)?(clb.wj(),clb.uj)[clb.uk(a.P,g)]:clb.nk(a.P,g);if(clb.nf(a,t,v,u,s,l,G,o))return v[1]>v[2]}dlb.bcb(l,l.length,0);r=false;for(j=0;j<a.P.g;j++){if(i[clb.zk(a.P,0,j)]||i[clb.zk(a.P,1,j)]){if(a.f[j]==1){l[clb.zk(a.P,0,j)]=1;l[clb.zk(a.P,1,j)]=1;r=true}else if(a.f[j]==2){l[clb.zk(a.P,0,j)]=2;l[clb.zk(a.P,1,j)]=2;r=true}}}if(r&&clb.nf(a,t,v,u,s,l,G,o))return v[1]>v[2];dlb.bcb(l,l.length,0);L=false;for(e=0;e<a.P.f;e++){if(i[e]){if(a.Y[e]==2){l[e]=1;L=true}else if(a.Y[e]==1){l[e]=2;L=true}}}if(L&&clb.nf(a,t,v,u,s,l,G,o))return v[1]>v[2];throw c1(new Zkb.rz('no distinction applying CIP rules'))};clb.lf=function lf(a,b,c,d){var e,f,g,h,i,j,k,l,m;l=c[d];g=c[d+1]-l;m=gW(Ykb.KX,Ulb,142,g,0,1);for(i=0;i<g;i++){m[i]=new clb.og;m[i].c=a[i+l];m[i].b=b[i+l];m[i].a=i+l}e=new clb.lg;for(k=d;k>1;k--){for(j=0;j<g;j++){m[j].c+=a[m[j].b]<<16;m[j].b=b[m[j].b]}dlb.icb(m,0,m.length,e);f=1;for(h=0;h<g;h++){a[m[h].a]=f;h!=g-1&&clb.kg(m[h],m[h+1])!=0&&++f}}};clb.mf=function mf(a,b){var c,d,e,f,g,h,i;g=clb.gn(a.P,b);h=gW(Ykb.AX,gmb,6,g,15,1);for(e=0;e<g;e++)h[e]=clb.vn(a.P,b,e);for(d=g;d>1;d--){c=false;for(f=1;f<d;f++){if(clb.kf(a,b,h[f-1],h[f])){c=true;i=h[f-1];h[f-1]=h[f];h[f]=i}}if(!c)break}return h};clb.nf=function nf(a,b,c,d,e,f,g,h){var i,j;for(j=1;j<h;j++){for(i=g[j];i<g[j+1];i++)c[i]=f[e[i]]+(c[d[i]]<<8);clb.of(a,b,c,d,e,g,j);if(c[1]!=c[2])return true;j>1&&clb.lf(c,d,g,j)}return false};clb.of=function of(a,b,c,d,e,f,g){var h,i,j,k,l,m,n,o,p,q,r;for(l=g;l>1;l--){p=f[l]-f[l-1];r=gW(Ykb.IX,Ulb,141,p,0,1);h=f[l];for(o=0;o<p;o++){q=f[l-1]+o;m=h;while(m<f[l+1]&&d[m]==q)++m;r[o]=new clb.ig;r[o].c=q;r[o].d=c[q];r[o].b=b[q]?0:clb.Vn(a.P,e[q]);r[o].a=gW(Ykb.AX,gmb,6,m-h,15,1);for(k=h;k<m;k++)r[o].a[k-h]=c[k];alb.jgb(r[o].a,alb.Pgb(X1(dlb.ucb.prototype.kc,dlb.ucb,[])));h=m}i=new clb.fg;dlb.icb(r,0,r.length,i);j=1;for(n=0;n<p;n++){c[r[n].c]=j;n!=p-1&&clb.eg(r[n],r[n+1])!=0&&++j}}};clb.pf=function pf(a){var b,c;c=eW(Ykb.AX,[Llb,Dnb],[26,7],0,[2,32],2);for(b=0;b<a.P.f;b++){a.K[b]&&(a._[b]==1?(c[0][a.$[b]]=clb.Pg(c[0][a.$[b]],b)):a._[b]==2&&(c[1][a.$[b]]=clb.Pg(c[0][a.$[b]],b)))}return c};clb.qf=function qf(a){var b,c,d,e,f,g,h,i,j,k,l,m;f=0;k=0;g=0;h=0;i=0;j=0;l=0;m=false;b=gW(Ykb.Z0,Amb,6,32,16,1);for(c=0;c<a.P.f;c++){if(a.bb[c]!=0){++f;if(a.bb[c]==3){++k}else{if(a._[c]==0){++g;!!a.N&&clb.Eg(a.N,c)&&++h}else if(a._[c]==2){a.$[c]==0&&++j}else if(a._[c]==1){e=a.$[c];if(!b[e]){++l;b[e]=true}a.$[c]==0&&++i;!!a.N&&clb.Eg(a.N,c)&&(m=true)}}}}for(d=0;d<a.P.g;d++){if(a.k[d]!=0&&clb.Kk(a.P,d)==1){++f;if(a.k[d]==3){++k}else{if(a.j[d]==0){++g;!!a.N&&clb.Eg(a.N,clb.zk(a.P,0,d))&&clb.Eg(a.N,clb.zk(a.P,1,d))&&++h}else if(a.j[d]==2){a.i[d]==0&&++j}else if(a.j[d]==1){e=a.i[d];if(!b[e]){++l;b[e]=true}a.i[d]==0&&++i;!!a.N&&clb.Eg(a.N,clb.zk(a.P,0,d))&&clb.Eg(a.N,clb.zk(a.P,1,d))&&(m=true)}}}}if(f==0){clb.km(a.P,Ylb);return}if(k!=0){clb.km(a.P,0);return}if(a.I){clb.km(a.P,Gnb+(1<<l));return}i+h==f&&!m?clb.km(a.P,196608):g==f?clb.km(a.P,tnb):j==f?clb.km(a.P,327680):g==f-1&&i==1?clb.km(a.P,Xmb):clb.km(a.P,458752+(1<<l))};clb.rf=function rf(a,b,c){while(c!=0){if(a.r==0){(!a.p||a.t!=63)&&(a.t+=64);Zkb.C5(a.s,a.t&Zlb);a.r=6;a.t=0}a.t<<=1;a.t=I1(B1(q1(a.t),e1(b,1)));b=D1(b,1);--c;--a.r}};clb.sf=function sf(a){a.t<<=a.r;(!a.p||a.t!=63)&&(a.t+=64);Zkb.C5(a.s,a.t&Zlb);return a.s.a};clb.tf=function tf(a,b){a.s=new Zkb.J5;a.r=6;a.t=0;a.p=b};clb.uf=function uf(a,b,c){var d,e,f,g,h,i,j,k,l,m,n,o,p,q;if(a.P.f==0){a.q='';return}l=false;if(a.hb&&a.P.q>a.P.f&&!a.P.K){l=true;for(i=0;i<a.P.f;i++){if(clb.Kn(a.P,i)!=0){l=false;break}}}q=a.hb?16:8;clb.tf(a,true);Zkb.C5(a.s,l?35:33);clb.rf(a,q1(a.hb?1:0),1);clb.rf(a,Ykb.m1(b?1:0),1);clb.rf(a,Ykb.m1(q/2|0),4);o=0;for(j=1;j<a.P.f;j++)o=clb.Hf(a,a.w[j],a.C[j]==-1?-1:a.w[a.C[j]],o,c);if(l){for(i=0;i<a.P.f;i++){d=a.w[i];for(n=clb.wn(a.P,d);n<clb.gn(a.P,d);n++)o=clb.Hf(a,clb.vn(a.P,d,n),d,o,c)}}if(a.P.f>1&&o==0){a.q='';return}g=1<<q;m=o/(g/2-1);p=o+m/2;for(k=1;k<a.P.f;k++)clb.vf(a,a.w[k],a.C[k]==-1?-1:a.w[a.C[k]],p,m,q,c);if(l){for(h=0;h<a.P.f;h++){d=a.w[h];for(n=clb.wn(a.P,d);n<clb.gn(a.P,d);n++)clb.vf(a,clb.vn(a.P,d,n),d,p,m,q,c)}}if(b){f=a.hb?1.5:(clb.wj(),clb.wj(),clb.vj);e=clb.xk(a.P,l?a.P.q:a.P.f,l?a.P.r:a.P.g,f,c);clb.rf(a,q1($wnd.Math.min(g-1,$wnd.Math.max(0,vX(0.5+$wnd.Math.log(e/0.1)*$wnd.Math.LOG10E/($wnd.Math.log(2000)*$wnd.Math.LOG10E)*(g-1))))),q);clb.rf(a,q1(clb.yf(c[a.w[0]].a/e,g)),q);clb.rf(a,q1(clb.yf(c[a.w[0]].b/e,g)),q);a.hb&&clb.rf(a,q1(clb.yf(c[a.w[0]].c/e,g)),q)}a.q=clb.sf(a)};clb.vf=function vf(a,b,c,d,e,f,g){var h,i,j;h=c==-1?(g[b].a-g[a.w[0]].a)/8:g[b].a-g[c].a;i=c==-1?(g[b].b-g[a.w[0]].b)/8:g[b].b-g[c].b;clb.rf(a,q1(vX((d+h)/e)),f);clb.rf(a,q1(vX((d+i)/e)),f);if(a.hb){j=c==-1?(g[b].c-g[a.w[0]].c)/8:g[b].c-g[c].c;clb.rf(a,q1(vX((d+j)/e)),f)}};clb.wf=function wf(a,b){var c;for(c=0;c<a.u;c++)b-=16;b<0&&(Zkb.O5(),String.fromCharCode(10));while(b>15){clb.rf(a,1,1);clb.rf(a,15,4);b-=16;++a.u}clb.rf(a,1,1);clb.rf(a,Ykb.m1(b),4)};clb.xf=function xf(a){var b,c,d,e,f,g;if(a.P.f==0){a.L='';return}f=0;d=false;e=false;for(c=0;c<a.P.f;c++){f<clb.mk(a.P,c)&&(f=clb.mk(a.P,c));clb._k(a.P,c)?(d=true):(e=true)}if(f==0){a.L='';return}g=clb.cg(f);clb.tf(a,true);clb.rf(a,Ykb.m1(g),4);clb.rf(a,Ykb.m1(d?1:0),1);clb.rf(a,Ykb.m1(e?1:0),1);for(b=0;b<a.P.f;b++){clb.rf(a,q1(clb.mk(a.P,a.w[b])),g);d&&e&&clb.rf(a,q1(clb._k(a.P,a.w[b])?1:0),1)}a.L=clb.sf(a)};clb.yf=function yf(a,b){var c,d,e,f;c=b/2|0;e=a<0;a=$wnd.Math.abs(a);f=b/32|0;d=$wnd.Math.min(c-1,I1(p1($wnd.Math.round(a*c/(a+f)))));return e?c+d:d};clb.zf=function zf(a){var b,c,d;for(b=0;b<a.P.f;b++){a.bb[b]==3&&!clb.Xk(a.P,b)&&clb.sm(a.P,b);(clb.ik(a.P,b)==1||clb.ik(a.P,b)==2)&&a.bb[b]==3&&clb.sm(a.P,b);clb.Xk(a.P,b)&&a.bb[b]!=3&&!clb.Tf(a,b)&&clb.sm(a.P,b)}for(d=0;d<a.P.r;d++)clb.pl(a.P,d)&&!clb.Sf(a,d)&&clb.sm(a.P,clb.zk(a.P,0,d));for(c=0;c<a.P.g;c++){if(clb.Hk(a.P,c)==2){if(clb.fl(a.P,c)&&(a.k[c]==1||a.k[c]==2)){a.k[c]=3;clb.jm(a.P,c,386)}if(a.k[c]==3&&!a.n[c]){if(clb.Kk(a.P,c)!=386){clb.sm(a.P,clb.zk(a.P,0,c));clb.sm(a.P,clb.zk(a.P,1,c))}}}if(clb.Kk(a.P,c)==1&&a.k[c]==3&&!clb.Xk(a.P,clb.zk(a.P,0,c))&&!clb.Xk(a.P,clb.zk(a.P,1,c))){clb.sm(a.P,clb.zk(a.P,0,c));clb.sm(a.P,clb.zk(a.P,1,c))}if((clb.Ek(a.P,c)==1||clb.Ek(a.P,c)==2)&&(clb.Kk(a.P,c)!=1||a.k[c]!=1&&a.k[c]!=2)){clb.sm(a.P,clb.zk(a.P,0,c));clb.sm(a.P,clb.zk(a.P,1,c))}}};clb.Af=function Af(a){var b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v;if(a.P.f==0)return;if(a.D)return;a.G=0;v=0;for(c=1;c<a.P.f;c++)a.d[c]>a.d[v]&&(v=c);d=gW(Ykb.Z0,Amb,6,a.P.f,16,1);g=gW(Ykb.Z0,Amb,6,a.P.g,16,1);a.F=gW(Ykb.AX,gmb,6,a.P.f,15,1);a.w=gW(Ykb.AX,gmb,6,a.P.f,15,1);a.C=gW(Ykb.AX,gmb,6,a.P.f,15,1);a.A=gW(Ykb.AX,gmb,6,a.P.g,15,1);a.w[0]=v;a.F[v]=0;d[v]=true;e=1;i=0;j=1;k=0;while(i<a.P.f){if(i<j){while(true){o=0;p=0;m=-1;b=a.w[i];for(q=0;q<clb.hn(a.P,b);q++){if(q<clb.wn(a.P,b)||q>=clb.gn(a.P,b)){h=clb.vn(a.P,b,q);if(!d[h]&&a.d[h]>m){o=h;p=clb.xn(a.P,b,q);m=a.d[h]}}}if(m==-1)break;a.F[o]=j;a.C[j]=i;a.w[j++]=o;a.A[k++]=p;d[o]=true;g[p]=true}++i}else{n=0;m=-1;for(b=0;b<a.P.f;b++){if(!d[b]&&a.d[b]>m){n=b;m=a.d[b]}}++e;a.F[n]=j;a.C[j]=-1;a.w[j++]=n;d[n]=true}}a.B=gW(Ykb.AX,gmb,6,2*(a.P.g-k),15,1);while(true){s=a.P.M;t=a.P.M;u=-1;for(f=0;f<a.P.g;f++){if(!g[f]){if(a.F[clb.zk(a.P,0,f)]<a.F[clb.zk(a.P,1,f)]){r=a.F[clb.zk(a.P,0,f)];l=a.F[clb.zk(a.P,1,f)]}else{r=a.F[clb.zk(a.P,1,f)];l=a.F[clb.zk(a.P,0,f)]}if(r<s||r==s&&l<t){s=r;t=l;u=f}}}if(u==-1)break;g[u]=true;a.A[k++]=u;a.B[2*a.G]=s;a.B[2*a.G+1]=t;++a.G}a.D=true};clb.Bf=function Bf(a){var b,c,d,e,f,g,h,i,j,k,l,m,n,o;i=null;o=clb.Xn(a.P);for(l=0;l<o.i.a.length;l++){if(o.e[l]){f=0;m=dlb.Bi(o.i,l);for(c=m,d=0,e=c.length;d<e;++d){b=c[d];clb.Nf(a,b)&&++f}if(f!=0){n=dlb.Bi(o.j,l);i==null&&(i=gW(Ykb.Z0,Amb,6,a.P.g,16,1));if(f==m.length){j=-1;k=Qlb;for(g=0;g<m.length;g++){if(k>a.w[n[g]]){k=a.w[n[g]];j=g}}while(f>0){i[n[j]]=true;j=clb._f(j+2,m.length);f-=2}}else{h=0;while(clb.Nf(a,m[h]))++h;while(!clb.Nf(a,m[h]))h=clb._f(h+1,m.length);while(f>0){i[n[h]]=true;h=clb._f(h+2,m.length);f-=2;while(!clb.Nf(a,m[h]))h=clb._f(h+1,m.length)}}}}}return i};clb.Cf=function Cf(a,b){return a.k[b]};clb.Df=function Df(a){return clb.Ef(a,a.hb)};clb.Ef=function Ef(a,b){if(a.q==null){clb.Af(a);clb.uf(a,b,a.P.J)}return a.q};clb.Ff=function Ff(a){if(a.L==null){clb.Af(a);clb.xf(a)}return a.L};clb.Gf=function Gf(a){if(a.H==null){clb.Af(a);if((a.O&lnb)==0){clb.Pf(a);clb.Qf(a,1);clb.Qf(a,2)}clb.Of(a)}return a.H};clb.Hf=function Hf(a,b,c,d,e){var 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f,g,h,i,j,k;i=null;f=null;for(k=0;k<a.g[b].length;k++){g=a.g[b][k];a.f[g]&&(a.o[g]==1||a.o[g]==2)&&(a.k[g]==0?(f=clb.Pg(f,(e[g]<<16)+g)):a.k[g]==d&&a.j[g]==c&&(i=clb.Pg(i,(e[g]<<16)+g)))}h=clb.bh(i,f);if(h==0)return false;if(h<0){for(j=0;j<a.g[b].length;j++){g=a.g[b][j];if(a.f[g]&&(a.o[g]==1||a.o[g]==2)){if(a.k[g]==0){a.k[g]=d<<24>>24;a.j[g]=c<<24>>24}else if(a.k[g]==d&&a.j[g]==c){a.k[g]=0;a.j[g]=-1}}}}return true};clb.Ig=function Ig(a,b){var c,d,e,f,g,h;if(!a.b)return false;e=false;for(f=a.b.a.length-1;f>=0;f--){d=false;g=dlb.Bi(a.b,f);g.a==2?(d=clb.Hg(a,g.b,g.c,g.d,b)):g.a==1&&(d=clb.Mg(a,g.b,b));if(d){dlb.Ji(a.b,g);for(h=0;h<a.g[g.b].length;h++){c=a.g[g.b][h];a.n[c]=false}e=true}}return e};clb.Jg=function Jg(a){var b,c,d,e,f,g,h,i;if(a.g!=null){g=new clb.ah(a);a.b=new dlb.Qi;for(e=0;e<a.g.length;e++){d=clb.Ug(g,e);if(d==0){clb.Qg(g,e);h=clb.Ag(a,e,2);b=clb.Ag(a,e,1);c=clb.zg(a,e);if(h==1&&b==1&&!c){clb.Lg(a,e,g.a+g.f++);dlb.wi(a.b,new clb.mj(e,1,-1,-1))}if(h>0){if(c){clb.Kg(a,e,g.i+g.g++,2);++h}dlb.wi(a.b,new clb.mj(e,1,-1,-1))}else if(b>0){c&&clb.Kg(a,e,g.a+g.f++,1);dlb.wi(a.b,new clb.mj(e,1,-1,-1))}else if(c){clb.Kg(a,e,g.a+g.f++,1);dlb.wi(a.b,new clb.mj(e,1,-1,-1))}}else if(d==1){if(clb.zg(a,e)){f=clb.Tg(g,e);i=clb.Vg(g,e);dlb.wi(a.b,new clb.mj(e,2,f,i))}else{clb.Qg(g,e);dlb.wi(a.b,new clb.mj(e,1,-1,-1))}}}}};clb.Kg=function Kg(a,b,c,d){var e,f;for(f=0;f<a.g[b].length;f++){e=a.g[b][f];if(a.f[e]&&(a.o[e]==1||a.o[e]==2)&&a.k[e]==0){a.k[e]=d<<24>>24;a.j[e]=c<<24>>24}}};clb.Lg=function Lg(a,b,c){var d,e;for(e=0;e<a.g[b].length;e++){d=a.g[b][e];if(a.k[d]==2){a.k[d]=1;a.j[d]=c<<24>>24}}};clb.Mg=function Mg(a,b,c){var d,e,f,g,h,i,j,k;f=a.g[b];e=1;for(i=0;i<f.length;i++){d=f[i];if(a.f[d]&&a.k[d]==2){e=2;break}}g=gW(Ykb.AX,Dnb,7,32,0,2);for(j=0;j<f.length;j++){d=f[j];a.f[d]&&a.k[d]==e&&(g[a.j[d]]=clb.Pg(g[a.j[d]],(c[d]<<16)+d))}for(k=0;k<32;k++)g[k]!=null&&alb.jgb(g[k],alb.Pgb(X1(dlb.ucb.prototype.kc,dlb.ucb,[])));dlb.mcb(g,new clb.dh);if(clb.bh(g[0],g[1])==0)return false;for(h=0;h<g[0].length;h++){d=g[0][h]&Zlb;a.k[d]=0;a.j[d]=-1}return true};clb.Ng=function Ng(a,b,c){var d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v;i=gW(Ykb.AX,gmb,6,a.i.f,15,1);r=gW(Ykb.AX,gmb,6,a.i.f,15,1);o=gW(Ykb.Z0,Amb,6,a.i.f,16,1);j=gW(Ykb.Z0,Amb,6,a.i.f,16,1);s=new clb.Vp(a.i.f);i[0]=b;r[b]=c;r[c]=-2;s.a[b]=true;s.a[c]=true;f=0;k=0;while(f<=k){g=i[f];if(r[g]==g){for(l=0;l<clb.wn(a.i,g);l++){d=clb.vn(a.i,g,l);if(!s.a[d]){if(clb.yn(a.i,g,l)==2&&clb.uk(a.i,d)<10){i[++k]=d;r[d]=d;j[d]=j[g]||clb.mn(a.i,d)==2;o[d]=j[g]&&!o[g];s.a[d]=true}else if(j[g]&&o[g]){t=clb.Cg(a,d,r[g],s.a);if(t==-1)return 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b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q;this.j=a;for(d=0;d<a.i.f;d++){a.f[d]&&(a.o[d]==1||a.o[d]==2)&&(a.k[d]==1?this.a<=a.j[d]&&(this.a=1+a.j[d]):a.k[d]==2&&this.i<=a.j[d]&&(this.i=1+a.j[d]))}this.b=this.a+this.i;this.e=eW(Ykb.Z0,[Llb,Amb],[11,6],16,[this.b+1,a.g.length+1],2);for(e=0;e<a.i.f;e++)a.f[e]&&(a.o[e]==1||a.o[e]==2)&&!a.e[e]&&(this.e[clb.Yg(this,e)][a.g.length]=true);for(i=0;i<a.g.length;i++){for(q=0;q<a.g[i].length;q++){c=a.g[i][q];a.f[c]&&(a.o[c]==1||a.o[c]==2)&&(this.e[clb.Yg(this,c)][i]=true)}}this.d=gW(Ykb.AX,Dnb,7,this.b,0,2);for(j=0;j<a.g.length;j++){for(n=1;n<this.b;n++){if(this.e[n][j]){for(o=0;o<n;o++){if(this.e[o][j]){this.d[n]=clb.Pg(this.d[n],o);this.d[o]=clb.Pg(this.d[o],n)}}}}}this.c=gW(Ykb.AX,gmb,6,this.b+1,15,1);for(m=0;m<this.b;m++){this.e[m][a.g.length]?(this.c[m]=-1):(this.c[m]=-2)}for(k=0;k<a.g.length;k++){if(this.e[this.b][k]){for(l=0;l<this.b;l++){this.e[l][k]&&this.c[l]!=k&&(this.c[l]==-2?(this.c[l]=k):(this.c[l]=-3))}}}for(b=0;b<this.b;b++){if(this.c[b]>=-1){f=gW(Ykb.AX,gmb,6,this.b,15,1);if(clb.Rg(this,f,b)){for(l=0;l<this.b;l++){f[l]!=0&&(this.c[l]=-3)}}}}for(h=0;h<a.g.length-1;h++){for(n=1;n<this.b;n++){if(this.e[n][h]&&this.c[n]!=-3){for(o=0;o<n;o++){if(this.e[o][h]&&this.c[o]!=-3){g=clb.Sg(this,n,o,h);if(g!=null){for(p=0;p<g.length;p++)this.c[g[p]]=-3;clb._g(this,g);break}}}}}}};U1(264,1,{},clb.ah);_.a=0;_.b=0;_.f=0;_.g=0;_.i=0;Ykb.PX=w3(264);clb.bh=function bh(a,b){var c,d;if(a==null)return b==null?0:1;if(b==null)return -1;c=$wnd.Math.min(a.length,b.length);for(d=0;d<c;d++)if((a[d]&Mnb)!=(b[d]&Mnb))return (a[d]&Mnb)<(b[d]&Mnb)?-1:1;return a.length==b.length?0:a.length<b.length?-1:1};clb.dh=function dh(){};U1(265,1,{},clb.dh);_.pb=function eh(a,b){return clb.bh(a,b)};_.ib=function fh(a){return this===a};Ykb.RX=w3(265);clb.gh=function gh(a,b){switch(b){case 0:return clb.hh(a,false);case 1:return clb.jh(a);case 2:return clb.ih(a);case 3:return clb.lh(a);case 4:return clb.kh(a);}return null};clb.hh=function hh(b,c){try{if(!c)return clb.Gf(new clb.ag(b));b=clb.Kt(b);clb.Qo(b,true);clb.fq(b);return clb.Gf(new clb.ag(b))}catch(a){a=b1(a);if(mX(a,22)){Zkb.O5();String.fromCharCode(10);return null}else throw c1(a)}};clb.ih=function ih(b){var c,d;try{b=clb.Kt(b);clb.Ut(b);c=b.r;for(d=0;d<c;d++){b.H[d]=1;b.T=0}return clb.Gf(new clb.ag(b))}catch(a){a=b1(a);if(mX(a,22)){Zkb.O5();String.fromCharCode(10);return null}else throw c1(a)}};clb.jh=function 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clb.Dh(a.b*b.c-a.c*b.b,-(a.a*b.c-a.c*b.a),a.a*b.b-a.b*b.a)};clb.sh=function sh(a,b){return $wnd.Math.sqrt((b.a-a.a)*(b.a-a.a)+(b.b-a.b)*(b.b-a.b)+(b.c-a.c)*(b.c-a.c))};clb.th=function th(a,b){var c;if(b==null||!mX(b,24))return false;c=b;return $wnd.Math.abs(c.a-a.a)+$wnd.Math.abs(c.b-a.b)+$wnd.Math.abs(c.c-a.c)<1.0E-6};clb.uh=function uh(a,b){var c,d,e;d=a.a*a.a+a.b*a.b+a.c*a.c;e=b.a*b.a+b.b*b.b+b.c*b.c;if(d==0||e==0)return 0;c=(a.a*b.a+a.b*b.b+a.c*b.c)/$wnd.Math.sqrt(d*e);if(c>=1)return 0;if(c<=-1)return Fmb;return $wnd.Math.acos(c)};clb.vh=function vh(a,b){var c,d,e;c=a.a;d=a.b;e=a.c;a.a=c*b[0][0]+d*b[1][0]+e*b[2][0];a.b=c*b[0][1]+d*b[1][1]+e*b[2][1];a.c=c*b[0][2]+d*b[1][2]+e*b[2][2];return a};clb.wh=function wh(a,b){a.a*=b;a.b*=b;a.c*=b;return a};clb.xh=function xh(a,b,c,d){a.a=b;a.b=c;a.c=d};clb.yh=function yh(a,b){clb.xh(a,b.a,b.b,b.c);return a};clb.zh=function zh(a,b){a.a-=b.a;a.b-=b.b;a.c-=b.c;return a};clb.Ah=function Ah(a,b){return new 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xj(a,b,c,d){var e;e=clb.yj(a,6);clb.xh(a.J[e],b,c,d);return e};clb.yj=function yj(a,b){a.q>=a.M&&clb.om(a,a.M*2);a.C[a.q]=0;clb._l(a,a.q,b);a.s[a.q]=0;a.u[a.q]=0;a.B[a.q]=0;a.w[a.q]=0;clb.xh(a.J[a.q],0,0,0);a.v!=null&&(a.v[a.q]=null);a.t!=null&&(a.t[a.q]=null);a.T=0;return a.q++};clb.zj=function zj(a,b,c){return clb.Aj(a,b,c,clb.jl(a,b)||clb.jl(a,c)?32:1)};clb.Aj=function Aj(a,b,c,d){var e;if(b==c)return -1;for(e=0;e<a.r;e++){if(a.D[0][e]==b&&a.D[1][e]==c||a.D[0][e]==c&&a.D[1][e]==b){a.H[e]<d&&(a.H[e]=d);return e}}a.r>=a.N&&clb.pm(a,a.N*2);a.D[0][a.r]=b;a.D[1][a.r]=c;a.H[a.r]=d;a.F[a.r]=0;a.G[a.r]=0;a.T=0;return a.r++};clb.Bj=function Bj(a,b){return clb.Cj(a,b,b.q,b.r)};clb.Cj=function Cj(a,b,c,d){var e,f,g,h,i;a.K=a.K|b.K;f=gW(Ykb.AX,gmb,6,b.q,15,1);h=clb.Cl(a,1);i=clb.Cl(a,2);for(e=0;e<c;e++){f[e]=clb.Pj(b,a,e,h,i)}for(g=0;g<d;g++){clb.Qj(b,a,g,h,i,f[b.D[0][g]],f[b.D[1][g]],false)}a.L=a.L&&b.L;a.I=0;a.T=0;return f};clb.Dj=function Dj(a,b,c,d,e,f,g,h){var i,j;i=clb._j(a,b,c);if(i==-1){a.q>=a.M&&clb.om(a,a.M*2);i=clb.yj(a,d);clb.xh(a.J[i],b,c,0);a.A[i]=e;clb.Gl(a,i,f);clb.Vl(a,i,g);clb.Ll(a,i,h);return true}j=clb.Kj(a,i,d,e,f,g);clb.Ll(a,i,h);return j};clb.Ej=function Ej(a,b,c,d){var e;for(e=0;e<a.r;e++){if(a.D[0][e]==b&&a.D[1][e]==c||a.D[0][e]==c&&a.D[1][e]==b){clb.Mj(a,e,d);a.T=0;return e}}a.r>=a.N&&clb.pm(a,a.N*2);a.D[0][a.r]=b;a.D[1][a.r]=c;a.H[a.r]=d;a.F[a.r]=0;a.G[a.r]=0;a.T=0;return a.r++};clb.Fj=function Fj(a,b,c,d,e,f){var g,h,i;while(a.q+d>a.M)clb.om(a,a.M*2);while(a.r+d>a.N)clb.pm(a,a.N*2);g=clb._j(a,b,c);if(g!=-1)return clb.Gj(a,g,d,e,f);h=clb.ak(a,b,c);if(h!=-1)return clb.Hj(a,h,d,e,f);g=clb.xj(a,b,c,0);i=Fmb*(d-2)/d;clb.ul(a,g,d,g,e,0,Fmb-i,f);a.T=0;return true};clb.Gj=function Gj(a,b,c,d,e){var f,g,h,i,j,k;if(d&&clb.Pn(a,b)>1||!d&&clb.Pn(a,b)>2)return false;g=0;f=gW(Ykb.yX,emb,6,4,15,1);for(i=0;i<a.r;i++){for(j=0;j<2;j++){if(a.D[j][i]==b){if(g==2){g=3;break}f[g++]=clb.yk(a,b,a.D[1-j][i])}}if(g==3)break}if(g==3)return 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d,e,f,g,h;e=gW(Ykb.AX,gmb,6,b.q,15,1);g=clb.Cl(a,1);h=clb.Cl(a,2);for(d=0;d<b.q;d++){b.C[d]!=0?(e[d]=clb.Pj(b,a,d,g,h)):(e[d]=c)}for(f=0;f<b.r;f++){clb.Qj(b,a,f,g,h,e[b.D[0][f]],e[b.D[1][f]],false)}a.L=a.L&&b.L;a.I=0;a.T=0;return e};clb.Jj=function Jj(a,b){var c,d,e,f,g,h,i,j,k;c=a.J[b[0]];d=a.J[b[1]];e=a.J[b[2]];f=a.J[b[3]];i=new clb.Dh(d.a-c.a,d.b-c.b,d.c-c.c);j=new clb.Dh(e.a-d.a,e.b-d.b,e.c-d.c);k=new clb.Dh(f.a-e.a,f.b-e.b,f.c-e.c);g=new clb.Dh(i.b*j.c-i.c*j.b,-(i.a*j.c-i.c*j.a),i.a*j.b-i.b*j.a);h=new clb.Dh(j.b*k.c-j.c*k.b,-(j.a*k.c-j.c*k.a),j.a*k.b-j.b*k.a);return -$wnd.Math.atan2($wnd.Math.sqrt(j.a*j.a+j.b*j.b+j.c*j.c)*(i.a*h.a+i.b*h.b+i.c*h.c),g.a*h.a+g.b*h.b+g.c*h.c)};clb.Kj=function Kj(a,b,c,d,e,f){if((c==1||c==151||c==152)&&clb.Pn(a,b)>1)return false;a.B[b]=e1(a.B[b],-2);a.v!=null&&(a.v[b]=null);a.t!=null&&(a.t[b]=null);if(c==a.C[b]&&d==a.A[b]&&e==((a.u[b]&Rnb)>>>27)-1&&f==(a.u[b]&48))return false;if(c==151||c==152){d=c-149;c=1}a.u[b]&=960;a.C[b]=c;a.A[b]=d;a.s[b]=0;a.B[b]=0;clb.Gl(a,b,e);clb.Vl(a,b,f);clb.Al(a,a.w[b]);a.T=0;return true};clb.Lj=function Lj(a,b,c){if(c){if(a.s[b]>8)return false;++a.s[b]}else{if(a.s[b]<-8)return false;--a.s[b]}a.T=0;return true};clb.Mj=function Mj(a,b,c){var d,e,f,g,h;f=false;g=a.H[b];if(c==511){f=clb.Tk(a,b)}else if(clb.To(a,b,c)){if(c==257||c==129){d=clb.vl(a,b,a.D[0][b]);e=clb.vl(a,b,a.D[1][b]);if(c==g){if(d==e||e){h=a.D[0][b];a.D[0][b]=a.D[1][b];a.D[1][b]=h;f=true}}else{if(!d&&e){h=a.D[0][b];a.D[0][b]=a.D[1][b];a.D[1][b]=h}a.H[b]=c;f=true}}else{a.H[b]=c;f=true}}if(f){a.T=(g&127)==(c&127)?a.T&7:0;a.G[b]=0}return f};clb.Nj=function Nj(a){a.q=0;a.r=0;a.K=false;a.L=false;a.I=0;a.v=null;a.t=null;a.P=null;a.T=0};clb.Oj=function Oj(a){var b,c,d,e,f,g,h,i;for(g=0;g<a.r;g++){if(a.H[g]==512){c=a.D[0][g];d=a.D[1][g];if(a.C[c]==-1^a.C[d]==-1){if(a.s[c]!=0&&a.s[d]!=0){if(a.s[c]<0^a.s[d]<0){if(a.s[c]<0){++a.s[c];--a.s[d]}else{--a.s[c];++a.s[d]}}}}}}i=gW(Ykb.AX,gmb,6,a.q,15,1);e=0;for(b=0;b<a.q;b++){if(a.C[b]==-1){i[b]=-1;continue}if(e<b){a.C[e]=a.C[b];a.s[e]=a.s[b];a.A[e]=a.A[b];a.u[e]=a.u[b];a.B[e]=a.B[b];a.w[e]=a.w[b];clb.yh(a.J[e],a.J[b]);a.v!=null&&(a.v[e]=a.v[b]);a.t!=null&&(a.t[e]=a.t[b])}i[b]=e;++e}a.q=e;h=0;for(f=0;f<a.r;f++){if(a.H[f]==512)continue;a.H[h]=a.H[f];a.F[h]=a.F[f];a.G[h]=a.G[f];a.D[0][h]=i[a.D[0][f]];a.D[1][h]=i[a.D[1][f]];++h}a.r=h;return i};clb.Pj=function Pj(a,b,c,d,e){var f,g,h;f=b.q;f>=b.M&&clb.om(b,b.M*2);h=(a.u[c]&rnb)>>18;g=-1;h==1?d==-1?(g=clb.Cl(b,h)):(g=$wnd.Math.min(31,d+((a.u[c]&rnb)>>18!=1&&(a.u[c]&rnb)>>18!=2?-1:(a.u[c]&Snb)>>20))):h==2&&(e==-1?(g=clb.Cl(b,h)):(g=$wnd.Math.min(31,e+((a.u[c]&rnb)>>18!=1&&(a.u[c]&rnb)>>18!=2?-1:(a.u[c]&Snb)>>20))));b.C[f]=a.C[c];b.s[f]=a.s[c];b.A[f]=a.A[c];b.u[f]=a.u[c];b.B[f]=b.K?a.B[c]:0;clb.yh(b.J[f],a.J[c]);b.w[f]=a.w[c];b.v!=null&&(b.v[f]=null);if(a.v!=null&&a.v[c]!=null&&b.K){b.v==null&&(b.v=gW(Ykb.AX,Dnb,7,b.C.length,0,2));b.v[f]=dlb.Ubb(a.v[c],a.v[c].length)}b.t!=null&&(b.t[f]=null);if(a.t!=null&&a.t[c]!=null){b.t==null&&(b.t=gW(Ykb.wX,Llb,9,b.C.length,0,2));b.t[f]=dlb.Sbb(a.t[c],a.t[c].length)}if(g!=-1){b.u[f]&=-32505857;b.u[f]|=g<<20}++b.q;b.T=0;return f};clb.Qj=function Qj(a,b,c,d,e,f,g,h){var i,j,k,l;j=b.r;j>=b.N&&clb.pm(b,b.N*2);l=(a.F[c]&768)>>8;k=-1;l==1&&(d==-1?(k=clb.Cl(b,l)):(k=$wnd.Math.min(32,d+((a.F[c]&768)>>8!=1&&(a.F[c]&768)>>8!=2?-1:(a.F[c]&Tnb)>>10))));l==2&&(e==-1?(k=clb.Cl(b,l)):(k=$wnd.Math.min(32,e+((a.F[c]&768)>>8!=1&&(a.F[c]&768)>>8!=2?-1:(a.F[c]&Tnb)>>10))));b.D[0][j]=f;b.D[1][j]=g;i=h&&a.vb(c)?64:a.H[c];b.H[j]=i;b.F[j]=a.F[c];b.G[j]=b.K?a.G[c]:0;if(k!=-1){b.F[j]&=-31745;b.F[j]|=k<<10}++b.r;b.T=0;return j};clb.Rj=function Rj(a,b,c,d,e,f,g){return clb.Qj(a,b,c,d,e,f==null?a.D[0][c]:f[a.D[0][c]],f==null?a.D[1][c]:f[a.D[1][c]],g)};clb.Sj=function Sj(a,b){var c,d;b.v=null;b.t=null;b.K=a.K;b.q=0;for(c=0;c<a.q;c++)clb.Pj(a,b,c,0,0);b.r=0;for(d=0;d<a.r;d++)clb.Qj(a,b,d,0,0,a.D[0][d],a.D[1][d],false);a.ub(b)};clb.Tj=function Tj(a,b){b.K=a.K;b.L=a.L;b.S=a.S;b.I=a.I;b.P=a.P;b.T=a.T&24};clb.Uj=function Uj(a,b){var c,d,e,f;for(c=0;c<a.r;c++){for(e=0;e<2;e++){if(a.D[e][c]==b){a.H[c]=512;d=0;for(f=0;f<a.r;f++){if(f==c)continue;(a.D[0][f]===a.D[1-e][c]||a.D[1][f]===a.D[1-e][c])&&++d}if(d==0){clb.Al(a,a.w[a.D[1-e][c]]);a.C[a.D[1-e][c]]=-1}}}}clb.Al(a,a.w[b]);a.C[b]=-1;a.v!=null&&(a.v[b]=null);a.t!=null&&(a.t[b]=null);clb.Oj(a);a.T=0};clb.Vj=function Vj(a,b,c){var d,e;d=clb._j(a,b,c);if(d!=-1){(a.u[d]&512)!=0?clb.$j(a):clb.Uj(a,d);a.T=0;return true}e=clb.ak(a,b,c);if(e!=-1){(a.u[a.D[0][e]]&a.u[a.D[1][e]]&512)!=0?clb.$j(a):clb.Yj(a,e);a.T=0;return true}return false};clb.Wj=function Wj(a,b){var c,d,e,f;if(b.length==0)return null;for(d=b,e=0,f=d.length;e<f;++e){c=d[e];a.C[c]=-1}return clb.Zj(a)};clb.Xj=function Xj(a,b){a.H[b]=512;clb.Oj(a);a.T=0};clb.Yj=function Yj(a,b){var c,d,e;for(d=0;d<2;d++){c=0;for(e=0;e<a.r;e++){if(e==b)continue;(a.D[0][e]===a.D[d][b]||a.D[1][e]===a.D[d][b])&&++c}if(c==0){clb.Al(a,a.w[a.D[d][b]]);a.C[a.D[d][b]]=-1}}a.H[b]=512;clb.Oj(a);a.T=0};clb.Zj=function Zj(a){var b,c,d;d=false;for(b=0;b<a.q;b++){if(a.C[b]==-1){d=true;clb.Al(a,a.w[b])}}for(c=0;c<a.r;c++){if(a.H[c]==512){d=true}else if(a.C[a.D[0][c]]==-1||a.C[a.D[1][c]]==-1){a.H[c]=512;d=true}}if(d){a.T=0;return clb.Oj(a)}return null};clb.$j=function $j(a){var b,c;c=false;for(b=0;b<a.q;b++){if((a.u[b]&512)!=0){a.C[b]=-1;c=true}}return c&&clb.Zj(a)!=null};clb._j=function _j(a,b,c){var d,e,f,g,h,i,j,k;g=-1;e=clb.wk(a,a.q,a.r,clb.vj);h=Unb;i=e*e/12;for(d=0;d<a.q;d++){j=a.J[d].a;k=a.J[d].b;f=(b-j)*(b-j)+(c-k)*(c-k);if(f<i&&f<h){h=f;g=d}}return g};clb.ak=function ak(a,b,c){var d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s;m=-1;o=clb.wk(a,a.q,a.r,clb.vj);n=Unb;for(d=0;d<a.r;d++){p=a.J[a.D[0][d]].a;r=a.J[a.D[0][d]].b;q=a.J[a.D[1][d]].a;s=a.J[a.D[1][d]].b;k=q-p;l=s-r;e=$wnd.Math.sqrt(k*k+l*l);f=(p+q)/2;g=(r+s)/2;k=b-f;l=c-g;if($wnd.Math.sqrt(k*k+l*l)>e/2)continue;if(q==p)j=$wnd.Math.abs(p-b);else{h=(s-r)/(p-q);i=-h*p-r;j=$wnd.Math.abs((h*b+c+i)/$wnd.Math.sqrt(h*h+1))}if(j<o&&j<n){n=j;m=d}}return m};clb.bk=function bk(a,b){return ((a.u[b]&Rnb)>>>27)-1};clb.ck=function ck(a,b){return (a.u[b]&49152)>>14};clb.dk=function dk(a,b){return a.s[b]};clb.ek=function ek(a,b){return a.u[b]&448};clb.fk=function fk(a,b){return a.t==null?null:a.t[b]==null?null:Zkb.a5(a.t[b])};clb.gk=function gk(a,b){return a.t==null?null:a.t[b]};clb.hk=function hk(a,b){return (a.u[b]&rnb)>>18!=1&&(a.u[b]&rnb)>>18!=2?-1:(a.u[b]&Snb)>>20};clb.ik=function ik(a,b){return (a.u[b]&rnb)>>18};clb.jk=function jk(a,b){return clb.qj[a.C[b]]};clb.kk=function kk(a,b){return a.v==null?null:a.v[b]};clb.lk=function lk(a,b){var c,d,e;if(a.v==null||a.v[b]==null)return z1(e1(a.B[b],1),0)?'':clb.qj[a.C[b]];e='';for(d=0;d<a.v[b].length;d++){d>0&&(e=(alb.Egb(e),e+(alb.Egb(','),',')));c=a.v[b][d];e=Zkb._4(e,clb.qj[c])}return e};clb.mk=function mk(a,b){return $wnd.Math.abs(a.w[b])};clb.nk=function nk(a,b){return a.A[b]};clb.ok=function ok(a,b){return a.u[b]&3};clb.pk=function pk(a,b){return a.B[b]};clb.qk=function qk(a,b){return a.u[b]&48};clb.rk=function rk(a,b){return a.J[b].a};clb.sk=function sk(a,b){return a.J[b].b};clb.tk=function tk(a,b){return a.J[b].c};clb.uk=function uk(a,b){return a.C[b]};clb.vk=function vk(a){return clb.wk(a,a.q,a.r,clb.vj)};clb.wk=function wk(a,b,c,d){return clb.xk(a,b,c,d,a.J)};clb.xk=function xk(a,b,c,d,e){var f,g,h,i,j,k,l,m,n,o;l=false;m=0;for(j=0;j<c;j++)a.H[j]!=32&&(a.G[j]&nnb)==0&&++m;if(m==0){for(k=0;k<c;k++)(a.G[k]&nnb)==0&&++m;l=true}if(m==0){if(b<2)return d;o=Unb;for(f=1;f<b;f++){for(g=0;g<f;g++){n=clb.sh(e[f],e[g]);n>0&&n<o&&(o=n)}}return o!=Unb?0.6*o:d}h=0;for(i=0;i<c;i++){(l||a.H[i]!=32)&&(a.G[i]&nnb)==0&&(h+=clb.sh(e[a.D[1][i]],e[a.D[0][i]]))}return h/m};clb.yk=function yk(a,b,c){return clb.Lm(a.J[b].a,a.J[b].b,a.J[c].a,a.J[c].b)};clb.zk=function zk(a,b,c){return a.D[b][c]};clb.Ak=function Ak(a,b){return ((a.G[b]&7680)>>9)+((a.G[b]&122880)>>13)};clb.Bk=function Bk(a,b){return (a.G[b]&7680)>>9};clb.Ck=function Ck(a,b){return (a.F[b]&48)>>4};clb.Dk=function Dk(a,b){return (a.F[b]&768)>>8!=1&&(a.F[b]&768)>>8!=2?-1:(a.F[b]&Tnb)>>10};clb.Ek=function Ek(a,b){return (a.F[b]&768)>>8};clb.Fk=function Fk(a,b){var c,d,e,f;c=a.D[0][b];d=a.D[1][b];e=a.J[d].a-a.J[c].a;f=a.J[d].b-a.J[c].b;return $wnd.Math.sqrt(e*e+f*f)};clb.Gk=function Gk(a,b,c){var d;for(d=0;d<a.r;d++)if(a.D[0][d]==b&&a.D[1][d]==c||a.D[0][d]==c&&a.D[1][d]==b)if(a.H[d]!=512)return d;return -1};clb.Hk=function Hk(a,b){switch(a.H[b]&127){case 1:case 64:return 1;case 2:return 2;case 4:return 3;case 8:return 4;case 16:return 5;default:return 0;}};clb.Ik=function Ik(a,b){return a.F[b]&3};clb.Jk=function Jk(a,b){return a.G[b]};clb.Kk=function Kk(a,b){return a.H[b]};clb.Lk=function Lk(a,b){return a.H[b]&127};clb.Mk=function Mk(a,b){var c,d,e,f,g;if(a.q==0)return null;d=a.J[0].a;f=a.J[0].b;e=a.J[0].a;g=a.J[0].b;for(c=1;c<a.q;c++){d>a.J[c].a?(d=a.J[c].a):e<a.J[c].a&&(e=a.J[c].a);f>a.J[c].b?(f=a.J[c].b):g<a.J[c].b&&(g=a.J[c].b)}if(!b){b=new plb.YF(d,f,e-d,g-f)}else{b.c=d;b.d=f;b.b=e-d;b.a=g-f}return b};clb.Nk=function Nk(a,b){var c;c=a.C[b]<clb.rj.length?clb.rj[a.C[b]]:null;return c==null?6:c[c.length-1]};clb.Ok=function Ok(a,b,c){var d,e;if(a.C[b]>=171&&a.C[b]<=190)return 0;e=0;(a.u[b]&48)==32&&(e-=1);((a.u[b]&48)==16||(a.u[b]&48)==48)&&(e-=2);d=a.s[b];if(d==0&&a.K){o1(e1(a.B[b],Omb),Rmb)&&(d=-1);o1(e1(a.B[b],Omb),Qmb)&&(d=1)}a.C[b]==7||a.C[b]==8||a.C[b]==9?(e+=d):a.C[b]==6||a.C[b]==14||a.C[b]==32?(e-=$wnd.Math.abs(d)):a.C[b]==15||a.C[b]==33?c-e-d<=3?(e+=d):(e-=d):a.C[b]==16||a.C[b]==34||a.C[b]==52?c-e-d<=4?(e+=d):(e-=$wnd.Math.abs(d)):a.C[b]==17||a.C[b]==35||a.C[b]==53?c-e-d<=5?(e+=d):(e-=$wnd.Math.abs(d)):(e-=d);return e};clb.Pk=function Pk(a,b){var c;c=clb.Qk(a,b);return c+clb.Ok(a,b,c)};clb.Qk=function Qk(a,b){var c,d;c=((a.u[b]&Rnb)>>>27)-1;c==-1&&(c=(d=a.C[b]<clb.rj.length?clb.rj[a.C[b]]:null,d==null?6:d[d.length-1]));return c};clb.Rk=function Rk(a,b){var c,d,e,f,g;f=clb.rl(a,a.D[0][b])||clb.rl(a,a.D[1][b])?5:3;for(d=0;d<2;d++){c=a.D[d][b];e=clb.Hk(a,b)+(g=clb.Qk(a,c),g+clb.Ok(a,c,g))-clb.Pn(a,c);f>e&&(f=e)}return f};clb.Sk=function Sk(a,b){return (a.u[b]&Ylb)!=0};clb.Tk=function Tk(a,b){var c,d,e;d=clb.Rk(a,b);c=clb.jl(a,a.D[0][b])||clb.jl(a,a.D[1][b]);e=c?32:1;if(a.H[b]==16){a.H[b]=e;a.T=0;return true}if(a.H[b]==8){a.H[b]=d>4?16:e;a.T=0;return true}if(a.H[b]==4){a.H[b]=d>3?8:e;a.T=0;return true}if(a.H[b]==2){a.H[b]=386;a.T&=7;if((a.F[b]&128)==0)return true}if(a.H[b]==386){d>2?(a.H[b]=4):(a.H[b]=e);a.T=0;return true}if((384&a.H[b])!=0){a.H[b]=1;a.T&=7;return true}if(!c&&d<2)return false;if(a.H[b]==1){a.H[b]=2;a.T=0;return true}if(d<1)return false;if(a.H[b]==32){a.H[b]=1;a.T=0;return true}return false};clb.Uk=function Uk(a){var b;a.T=0;a.C=gW(Ykb.AX,gmb,6,a.M,15,1);a.s=gW(Ykb.AX,gmb,6,a.M,15,1);a.w=gW(Ykb.AX,gmb,6,a.M,15,1);a.J=gW(Ykb.TX,Vnb,24,a.M,0,1);for(b=0;b<a.M;b++)a.J[b]=new clb.Ch;a.A=gW(Ykb.AX,gmb,6,a.M,15,1);a.u=gW(Ykb.AX,gmb,6,a.M,15,1);a.B=gW(Ykb.BX,Anb,6,a.M,14,1);a.v=null;a.t=null;a.D=eW(Ykb.AX,[Dnb,gmb],[7,6],15,[2,a.N],2);a.H=gW(Ykb.AX,gmb,6,a.N,15,1);a.F=gW(Ykb.AX,gmb,6,a.N,15,1);a.G=gW(Ykb.AX,gmb,6,a.N,15,1)};clb.Vk=function Vk(a,b){a.T&=~b};clb.Wk=function Wk(a){var b;for(b=0;b<a.q;b++)if(a.J[b].c!=0)return true;return false};clb.Xk=function Xk(a,b){return (a.u[b]&Wnb)!=0};clb.Yk=function Yk(a,b){return a.C[b]==-1};clb.Zk=function Zk(a,b){return (a.u[b]&4)!=0};clb.$k=function $k(a,b){return (a.u[b]&Xnb)!=0};clb._k=function _k(a,b){return a.w[b]<0};clb.al=function al(a,b){return (a.F[b]&Ynb)!=0};clb.bl=function bl(a,b){return (a.G[b]&nnb)!=0};clb.cl=function cl(a,b){return (a.F[b]&Ylb)!=0};clb.dl=function dl(a,b){return a.H[b]==512};clb.el=function el(a,b){return (a.F[b]&4)!=0};clb.fl=function fl(a,b){return (a.F[b]&Gnb)!=0};clb.gl=function gl(a,b){var c,d,e,f;if(a.K){if(z1(e1(a.B[b],1),0))return false;if(a.v!=null&&a.v[b]!=null)for(d=a.v[b],e=0,f=d.length;e<f;++e){c=d[e];if(!clb.Om(c))return false}}return clb.Om(a.C[b])};clb.hl=function hl(a,b){var c,d,e,f;if(a.K){if(z1(e1(a.B[b],1),0))return false;if(a.v!=null&&a.v[b]!=null)for(d=a.v[b],e=0,f=d.length;e<f;++e){c=d[e];if(!clb.Pm(c))return false}}return clb.Pm(a.C[b])};clb.il=function il(a,b){return (a.u[b]&Gnb)!=0};clb.jl=function jl(a,b){var c,d,e,f;if(a.K){if(z1(e1(a.B[b],1),0))return false;if(a.v!=null&&a.v[b]!=null)for(d=a.v[b],e=0,f=d.length;e<f;++e){c=d[e];if(!(c>=3&&c<=4||c>=11&&c<=13||c>=19&&c<=31||c>=37&&c<=51||c>=55&&c<=84||c>=87&&c<=103))return false}}return clb.Qm(a.C[b])};clb.kl=function kl(a,b){return a.A[b]==0};clb.ll=function ll(a,b){var c,d,e,f;if(a.K){if(z1(e1(a.B[b],1),0))return false;if(a.v!=null&&a.v[b]!=null)for(d=a.v[b],e=0,f=d.length;e<f;++e){c=d[e];if(!(c==1||c>=5&&c<=9||c>=14&&c<=17||c>=32&&c<=35||c>=52&&c<=53))return false}}return clb.Rm(a.C[b])};clb.ml=function ml(a){var b;for(b=0;b<a.q;b++){switch(a.C[b]){case 1:case 5:case 6:case 7:case 8:case 9:case 14:case 15:case 16:case 17:case 33:case 34:case 35:case 52:case 53:continue;default:return false;}}return true};clb.nl=function nl(a,b){return (a.u[b]&512)!=0};clb.ol=function ol(a,b){return (a.u[a.D[0][b]]&a.u[a.D[1][b]]&512)!=0};clb.pl=function pl(a,b){return a.H[b]==257||a.H[b]==129};clb.ql=function ql(a,b,c){return (a.H[b]==257||a.H[b]==129)&&a.D[0][b]==c};clb.rl=function rl(a,b){var c,d,e,f;if(a.K){if(z1(e1(a.B[b],1),0))return false;if(a.v!=null&&a.v[b]!=null)for(d=a.v[b],e=0,f=d.length;e<f;++e){c=d[e];if(!(c>=3&&c<=4||c>=11&&c<=13||c>=19&&c<=31||c>=37&&c<=51||c>=55&&c<=84||c>=87&&c<=103))return false}}return clb.Sm(a.C[b])};clb.sl=function sl(a,b){a.C[b]=-1};clb.tl=function tl(a,b){a.H[b]=512};clb.ul=function ul(a,b,c,d,e,f,g,h){var i,j,k,l,m,n,o,p,q,r;if(b!=d){q=a.J[b].a-a.J[d].a;r=a.J[b].b-a.J[d].b;h=$wnd.Math.sqrt(q*q+r*r)}i=b;k=clb.tm(a,b)!=3;for(p=1;p<c;p++){m=a.J[i].a+h*$wnd.Math.sin(f);n=a.J[i].b+h*$wnd.Math.cos(f);o=-1;for(l=0;l<a.q;l++){if($wnd.Math.abs(m-a.J[l].a)<4&&$wnd.Math.abs(n-a.J[l].b)<4){o=l;break}}if(o==-1){o=clb.xj(a,m,n,0);a.J[o].a=m;a.J[o].b=n;a.J[o].c=0}j=clb.Gk(a,i,o);if(j==-1){j=clb.Aj(a,i,o,clb.jl(a,i)||clb.jl(a,o)?32:1);if(e){k&&clb.tm(a,a.D[0][j])<4&&clb.tm(a,a.D[1][j])<3&&(a.H[j]=2);k=!k}}i=o;f+=g}j=clb.Gk(a,i,d);j==-1&&(j=clb.Aj(a,i,d,clb.jl(a,i)||clb.jl(a,d)?32:1));e&&k&&clb.tm(a,a.D[0][j])<4&&clb.tm(a,a.D[1][j])<4&&(a.H[j]=2)};clb.vl=function vl(a,b,c){var d,e;if(clb.Hk(a,b)!=1)return false;if((a.u[c]&3)!=0)return true;for(e=0;e<a.r;e++)if(e!=b&&a.H[e]==2&&(a.D[0][e]==c&&(a.u[a.D[1][e]]&3)!=0||a.D[1][e]==c&&(a.u[a.D[0][e]]&3)!=0))return true;for(d=0;d<a.r;d++)if(d!=b&&a.H[d]==1&&(a.D[0][d]==c||a.D[1][d]==c)&&(a.F[d]&3)!=0)return true;return false};clb.wl=function wl(a){var b;for(b=0;b<a.q;b++)a.u[b]&=-449};clb.xl=function xl(a){var b;for(b=0;b<a.q;b++)a.u[b]&=-131073};clb.yl=function yl(a){var b;for(b=0;b<a.q;b++)a.u[b]&=-513};clb.zl=function zl(a){var b;for(b=0;b<a.r;b++)a.F[b]&=-98305};clb.Al=function Al(a,b){var c;for(c=0;c<a.q;c++)$wnd.Math.abs(a.w[c])==$wnd.Math.abs(b)&&(a.w[c]=0)};clb.Bl=function Bl(a){var b,c,d,e;e=false;for(c=0;c<a.q;c++){if(z1(e1(a.B[c],Bmb),0)){a.C[c]=-1;e=true}}e&&clb.Zj(a);if(a.v!=null){a.v=null;e=true}for(b=0;b<a.q;b++){if(z1(a.B[b],0)){a.B[b]=0;e=true}}for(d=0;d<a.r;d++){if(a.G[d]!=0){a.G[d]=0;e=true}if(a.H[d]==64){a.H[d]=1;e=true}}e&&(a.T=0);return e};clb.Cl=function Cl(a,b){var c,d,e,f,g,h,i,j,k;if(b==0)return 0;h=null;for(d=0;d<a.q;d++){if((a.u[d]&rnb)>>18==b){h==null&&(h=gW(Ykb.Z0,Amb,6,32,16,1));h[(a.u[d]&rnb)>>18!=1&&(a.u[d]&rnb)>>18!=2?-1:(a.u[d]&Snb)>>20]=true}}for(f=0;f<a.r;f++){if((a.F[f]&768)>>8==b){h==null&&(h=gW(Ykb.Z0,Amb,6,32,16,1));h[(a.F[f]&768)>>8!=1&&(a.F[f]&768)>>8!=2?-1:(a.F[f]&Tnb)>>10]=true}}k=0;if(h!=null){j=gW(Ykb.AX,gmb,6,32,15,1);for(i=0;i<32;i++)h[i]&&(j[i]=k++);for(c=0;c<a.q;c++){if((a.u[c]&rnb)>>18==b){g=j[(a.u[c]&rnb)>>18!=1&&(a.u[c]&rnb)>>18!=2?-1:(a.u[c]&Snb)>>20];a.u[c]&=-32505857;a.u[c]|=g<<20}}for(e=0;e<a.r;e++){if((a.F[e]&768)>>8==b){g=j[(a.F[e]&768)>>8!=1&&(a.F[e]&768)>>8!=2?-1:(a.F[e]&Tnb)>>10];a.F[e]&=-31745;a.F[e]|=g<<10}}}return k};\nclb.Dl=function Dl(a,b){var c;for(c=0;c<a.q;c++){a.J[c].a*=b;a.J[c].b*=b}};clb.El=function El(a,b){a.q=b;a.T=0};clb.Fl=function Fl(a,b){a.r=b;a.T=0};clb.Gl=function Gl(a,b,c){if(c>=-1&&c<=14){a.u[b]&=-2013265921;a.u[b]|=1+c<<27;if(a.C[b]==6){if(c==-1||c==0||c==2||c==4){a.u[b]&=-49;c==2&&(a.u[b]|=16)}}}};clb.Hl=function Hl(a,b,c){a.u[b]&=-49153;a.u[b]|=c<<14};clb.Il=function Il(a,b,c){a.s[b]=c;a.T=0};clb.Jl=function Jl(a,b,c){a.u[b]&=-449;a.u[b]|=c};clb.Kl=function Kl(a,b,c){c?(a.u[b]|=Wnb):(a.u[b]&=Znb);a.T&=7};clb.Ll=function Ll(a,b,c){var d,e;if(c!=null){if(alb.Pgb(c).length==0)c=null;else{d=clb.Nm(c,321);if(d!=0&&Zkb.c5(c,clb.qj[d])||Zkb.c5(c,'?')){clb._l(a,b,d);c=null}}}if(c==null){a.t!=null&&(a.t[b]=null)}else{a.t==null&&(a.t=gW(Ykb.wX,Llb,9,a.M,0,2));a.t[b]=alb.qgb((e=c,alb.lgb(),e))}};clb.Ml=function Ml(a,b,c){c!=null&&c.length==0&&(c=null);if(c==null){a.t!=null&&(a.t[b]=null)}else{a.t==null&&(a.t=gW(Ykb.wX,Llb,9,a.M,0,2));a.t[b]=c}};clb.Nl=function Nl(a,b,c,d){var e,f,g;if(c==0){a.u[b]&=$nb;a.u[b]|=c<<18}else{if(d>=32)return;if(d==-1){g=-1;for(f=0;f<a.q;f++)f!=b&&c==(a.u[f]&rnb)>>18&&g<((a.u[f]&rnb)>>18!=1&&(a.u[f]&rnb)>>18!=2?-1:(a.u[f]&Snb)>>20)&&(g=(a.u[f]&rnb)>>18!=1&&(a.u[f]&rnb)>>18!=2?-1:(a.u[f]&Snb)>>20);for(e=0;e<a.r;e++)c==(a.F[e]&768)>>8&&g<((a.F[e]&768)>>8!=1&&(a.F[e]&768)>>8!=2?-1:(a.F[e]&Tnb)>>10)&&(g=(a.F[e]&768)>>8!=1&&(a.F[e]&768)>>8!=2?-1:(a.F[e]&Tnb)>>10);d=g+1;if(d>=32)return}a.u[b]&=$nb;a.u[b]|=c<<18|d<<20}a.T&=7};clb.Ol=function Ol(a,b,c){a.v==null&&(a.v=gW(Ykb.AX,Dnb,7,a.M,0,2));alb.jgb(c,alb.Pgb(X1(dlb.ucb.prototype.kc,dlb.ucb,[])));a.v[b]=c;a.T=0;a.K=true};clb.Pl=function Pl(a,b,c,d){var e;if(c==null){a.v!=null&&(a.v[b]=null);return}if(c.length==1&&!d){e=c[0];a.C[b]!=e&&clb.Kj(a,b,e,0,-1,0);a.v!=null&&(a.v[b]=null);return}a.v==null&&(a.v=gW(Ykb.AX,Dnb,7,a.M,0,2));a.v[b]=c;d&&(a.B[b]=B1(a.B[b],1));a.T=0;a.K=true};clb.Ql=function Ql(a,b,c,d){a.w[b]=d?-c:c};clb.Rl=function Rl(a,b,c){c?(a.u[b]|=Gnb):(a.u[b]&=-131073)};clb.Sl=function Sl(a,b,c){a.A[b]=c;a.T&=7};clb.Tl=function Tl(a,b,c,d){a.u[b]&=-33554440;a.u[b]|=c;d&&(a.u[b]|=4)};clb.Ul=function Ul(a,b,c,d){d?(a.B[b]=B1(a.B[b],c)):(a.B[b]=e1(a.B[b],A1(c)));a.T=0;a.K=true};clb.Vl=function Vl(a,b,c){a.u[b]&=-49;a.u[b]|=c;a.T&=7};clb.Wl=function Wl(a,b,c){c?(a.u[b]|=512):(a.u[b]&=-513)};clb.Xl=function Xl(a,b,c){a.u[b]&=-67108865;c&&(a.u[b]|=Xnb)};clb.Yl=function Yl(a,b,c){a.J[b].a=c;a.T&=7};clb.Zl=function Zl(a,b,c){a.J[b].b=c;a.T&=7};clb.$l=function $l(a,b,c){a.J[b].c=c;a.T&=7};clb._l=function _l(a,b,c){if(c>=0&&c<=190){if(c==151||c==152){a.C[b]=1;a.A[b]=c-149}else{a.C[b]=c;a.A[b]=0}a.u[b]&=-2013265921;a.T=0}};clb.am=function am(a,b,c,d){a.D[b][c]=d;a.T=0};clb.bm=function bm(a,b,c){c?(a.F[b]|=Ynb):(a.F[b]&=-32769)};clb.cm=function cm(a,b,c){a.F[b]&=-49;a.F[b]|=c<<4};clb.dm=function dm(a,b,c,d){var e,f,g;if(c==0){a.F[b]&=-32513;a.F[b]|=c<<8}else{if(d>=32)return;if(d==-1){g=-1;for(f=0;f<a.q;f++)c==(a.u[f]&rnb)>>18&&g<((a.u[f]&rnb)>>18!=1&&(a.u[f]&rnb)>>18!=2?-1:(a.u[f]&Snb)>>20)&&(g=(a.u[f]&rnb)>>18!=1&&(a.u[f]&rnb)>>18!=2?-1:(a.u[f]&Snb)>>20);for(e=0;e<a.r;e++)e!=b&&c==(a.F[e]&768)>>8&&g<((a.F[e]&768)>>8!=1&&(a.F[e]&768)>>8!=2?-1:(a.F[e]&Tnb)>>10)&&(g=(a.F[e]&768)>>8!=1&&(a.F[e]&768)>>8!=2?-1:(a.F[e]&Tnb)>>10);d=g+1;if(d>=32)return}a.F[b]&=-32513;a.F[b]|=c<<8|d<<10}a.T&=7};clb.em=function em(a,b,c){c?(a.F[b]|=Ylb):(a.F[b]&=-65537)};clb.fm=function fm(a,b,c){a.H[b]=c==1?1:c==2?2:c==3?4:32;a.T=0};clb.gm=function gm(a,b,c,d){a.F[b]&=-131080;a.F[b]|=c;d&&(a.F[b]|=4)};clb.hm=function hm(a,b){a.F[b]|=Gnb};clb.im=function im(a,b,c,d){d?(a.G[b]|=c):(a.G[b]&=~c);a.T=0;a.K=true};clb.jm=function jm(a,b,c){a.H[b]=c;a.T=0};clb.km=function km(a,b){a.I=b};clb.lm=function lm(a,b){if(a.K!=b){a.K=b;b||clb.Bl(a);a.T=0}};clb.mm=function mm(a,b){a.T=b};clb.nm=function nm(a,b){a.S=b};clb.om=function om(a,b){var c,d;a.C=clb.Fm(a.C,b);a.s=clb.Fm(a.s,b);a.w=clb.Fm(a.w,b);d=a.J.length;a.J=clb.Hm(a.J,b);for(c=d;c<b;c++)a.J[c]=new clb.Ch;a.A=clb.Fm(a.A,b);a.u=clb.Fm(a.u,b);a.B=clb.Gm(a.B,b);a.v!=null&&(a.v=clb.Jm(a.v,b));a.t!=null&&(a.t=clb.Im(a.t,b));a.M=b};clb.pm=function pm(a,b){a.D[0]=clb.Fm(a.D[0],b);a.D[1]=clb.Fm(a.D[1],b);a.H=clb.Fm(a.H,b);a.F=clb.Fm(a.F,b);a.G=clb.Fm(a.G,b);a.N=b};clb.qm=function qm(a,b){a.O=b};clb.rm=function rm(a,b){a.P=b};clb.sm=function sm(a,b){a.u[b]|=Ylb};clb.tm=function tm(a,b){var c,d;d=0;for(c=0;c<a.r;c++)(a.D[0][c]==b||a.D[1][c]==b)&&(d+=clb.Hk(a,c));return d};clb.um=function um(a){var b,c,d;c=false;d=false;for(b=0;b<a.q;b++){if(a.A[b]!=0){a.A[b]=0;c=true;a.C[b]==1&&(d=true)}}d&&(a.T=0);return c};clb.vm=function vm(a,b,c){return clb.jl(a,b)||clb.jl(a,c)?32:1};clb.wm=function wm(a,b,c){var d,e,f,g,h,i;g=a.C[b];a.C[b]=a.C[c];a.C[c]=g;g=a.s[b];a.s[b]=a.s[c];a.s[c]=g;g=a.A[b];a.A[b]=a.A[c];a.A[c]=g;g=a.u[b];a.u[b]=a.u[c];a.u[c]=g;i=a.B[b];a.B[b]=a.B[c];a.B[c]=i;g=a.w[b];a.w[b]=a.w[c];a.w[c]=g;f=a.J[b];a.J[b]=a.J[c];a.J[c]=f;if(a.v!=null){h=a.v[b];a.v[b]=a.v[c];a.v[c]=h}if(a.t!=null){h=a.t[b];a.t[b]=a.t[c];a.t[c]=h}for(d=0;d<a.r;d++){for(e=0;e<2;e++){a.D[e][d]==b?(a.D[e][d]=c):a.D[e][d]==c&&(a.D[e][d]=b)}}a.T=0};clb.xm=function xm(a,b,c){var d;d=a.D[0][b];a.D[0][b]=a.D[0][c];a.D[0][c]=d;d=a.D[1][b];a.D[1][b]=a.D[1][c];a.D[1][c]=d;d=a.H[b];a.H[b]=a.H[c];a.H[c]=d;d=a.F[b];a.F[b]=a.F[c];a.F[c]=d;d=a.G[b];a.G[b]=a.G[c];a.G[c]=d;a.T=0};clb.ym=function ym(a,b,c){var d;for(d=0;d<a.q;d++){a.J[d].a+=b;a.J[d].b+=c}a.U+=b;a.V+=c};clb.zm=function zm(a,b,c){var d,e;e=c&127;d=clb.Rk(a,b);switch(e){case 1:case 64:return d>=1;case 2:return d>=2;case 4:return d>=3;case 8:return d>=4;case 16:return d>=5;case 32:return true;default:return false;}};clb.Am=function Am(a,b,c,d){var e,f,g;for(e=0;e<a.q;e++){if(!d||(a.u[e]&512)!=0){g=a.R[e]*b;f=a.Q[e]-c;a.J[e].a=a.U+g*$wnd.Math.sin(f);a.J[e].b=a.V+g*$wnd.Math.cos(f)}}d&&(a.T&=7)};clb.Bm=function Bm(a,b,c){var d,e,f;a.U=b;a.V=c;a.Q=gW(Ykb.yX,emb,6,a.q,15,1);a.R=gW(Ykb.yX,emb,6,a.q,15,1);for(d=0;d<a.q;d++){e=b-a.J[d].a;f=c-a.J[d].b;a.R[d]=$wnd.Math.sqrt(e*e+f*f);a.Q[d]=clb.Lm(b,c,a.J[d].a,a.J[d].b)}};clb.Cm=function Cm(){this.M=this.N=256;clb.Uk(this)};clb.Dm=function Dm(a,b){this.M=$wnd.Math.max(1,a);this.N=$wnd.Math.max(1,b);clb.Uk(this)};clb.Fm=function Fm(a,b){var c;c=gW(Ykb.AX,gmb,6,b,15,1);Zkb.P5(a,0,c,0,$wnd.Math.min(a.length,b));return c};clb.Gm=function Gm(a,b){var c;c=gW(Ykb.BX,Anb,6,b,14,1);Zkb.P5(a,0,c,0,$wnd.Math.min(a.length,b));return c};clb.Hm=function Hm(a,b){var c,d;c=gW(Ykb.TX,Vnb,24,b,0,1);for(d=0;d<a.length;d++)!!a[d]&&(c[d]=new clb.Eh(a[d]));return c};clb.Im=function Im(a,b){var c,d;c=gW(Ykb.wX,Llb,9,b,0,2);for(d=0;d<a.length;d++){if(a[d]!=null){c[d]=gW(Ykb.wX,Fnb,6,a[d].length,15,1);Zkb.P5(a[d],0,c[d],0,a[d].length)}}return c};clb.Jm=function Jm(a,b){var c,d;c=gW(Ykb.AX,Dnb,7,b,0,2);for(d=0;d<a.length;d++){if(a[d]!=null){c[d]=gW(Ykb.AX,gmb,6,a[d].length,15,1);Zkb.P5(a[d],0,c[d],0,a[d].length)}}return c};clb.Km=function Km(a){clb.wj();return a>=0&&a<clb.rj.length&&clb.rj[a]!=null?clb.rj[a]:a>=171&&a<=190?clb.pj:clb.tj};clb.Lm=function Lm(a,b,c,d){clb.wj();var e,f,g;f=c-a;g=d-b;if(g!=0){e=$wnd.Math.atan(f/g);g<0&&(f<0?(e-=Fmb):(e+=Fmb))}else e=f>0?Gmb:mnb;return e};clb.Mm=function Mm(a,b){clb.wj();var c;c=a-b;while(c<_nb)c+=Emb;while(c>Fmb)c-=Emb;return c};clb.Nm=function Nm(a,b){clb.wj();var c,d,e,f,g;if((b&256)!=0&&Zkb.c5(a,'?'))return 0;for(d=1;d<=128;d++)if(!Zkb.c5(a,Qnb)&&Zkb.d5(a,clb.qj[d]))return d;if((b&2)!=0)for(e=129;e<=144;e++)if(Zkb.d5(a,clb.qj[e]))return e;if((b&4)!=0)for(f=146;f<=148;f++)if(Zkb.d5(a,clb.qj[f]))return f;if((b&1)!=0)for(g=151;g<=152;g++)if(Zkb.d5(a,clb.qj[g]))return g;if((b&32)!=0)if(Zkb.d5(a,clb.qj[153]))return 153;if((b&8)!=0)if(Zkb.d5(a,clb.qj[154]))return 154;if((b&16)!=0)if(Zkb.d5(a,clb.qj[145]))return 145;if((b&128)!=0)if(Zkb.d5(a,clb.qj[159]))return 159;if((b&64)!=0)for(c=171;c<=190;c++)if(Zkb.d5(a,clb.qj[c]))return c;return 0};clb.Om=function Om(a){clb.wj();switch(a){case 7:case 8:case 9:case 15:case 16:case 17:case 33:case 34:case 35:case 52:case 53:return true;}return false};clb.Pm=function Pm(a){clb.wj();if(a==1||a==6)return false;if(clb.Om(a))return false;if(a==2||a==10||a==18||a==36||a==54)return false;if(a>103)return false;return true};clb.Qm=function Qm(a){return a>=3&&a<=4||a>=11&&a<=13||a>=19&&a<=31||a>=37&&a<=51||a>=55&&a<=84||a>=87&&a<=103};clb.Rm=function Rm(a){return a==1||a>=5&&a<=9||a>=14&&a<=17||a>=32&&a<=35||a>=52&&a<=53};clb.Sm=function Sm(a){return a>=21&&a<=30||a>=39&&a<=48||a==57||a>=72&&a<=80||a==89||a>=104&&a<=112};U1(74,1,{74:1,4:1});_.ub=function Em(a){clb.Tj(this,a)};_.vb=function Tm(a){return this.H[a]==64};_.q=0;_.r=0;_.I=0;_.K=false;_.L=false;_.M=0;_.N=0;_.O=0;_.S=false;_.T=0;_.U=0;_.V=0;clb.vj=24;Ykb.dY=w3(74);clb.Um=function Um(a,b,c,d){var e,f,g,h,i,j,k,l,m;clb.Gt(b,1);d==null&&(d=gW(Ykb.AX,gmb,6,b.q,15,1));h=clb.Cl(a,1);i=clb.Cl(a,2);m=gW(Ykb.Z0,Amb,6,b.q,16,1);j=gW(Ykb.AX,gmb,6,b.q,15,1);j[0]=c;m[c]=true;d[c]=clb.Pj(b,a,c,h,i);g=0;k=0;while(g<=k){for(l=0;l<clb.gn(b,j[g]);l++){f=b.i[j[g]][l];if(!m[f]){j[++k]=f;m[f]=true;d[f]=clb.Pj(b,a,f,h,i)}}++g}for(e=0;e<b.r;e++)m[b.D[0][e]]&&clb.Qj(b,a,e,h,i,d==null?b.D[0][e]:d[b.D[0][e]],d==null?b.D[1][e]:d[b.D[1][e]],false);clb.Cl(a,1);clb.Cl(a,2);a.T=0};clb.Vm=function Vm(a){var b,c,d,e,f,g,h,i,j,k,l,m;a.j=gW(Ykb.AX,gmb,6,a.q,15,1);a.e=gW(Ykb.AX,gmb,6,a.q,15,1);a.i=gW(Ykb.AX,Dnb,7,a.q,0,2);a.k=gW(Ykb.AX,Dnb,7,a.q,0,2);a.n=gW(Ykb.AX,Dnb,7,a.q,0,2);a.o=gW(Ykb.AX,gmb,6,a.f,15,1);j=gW(Ykb.AX,gmb,6,a.q,15,1);for(g=0;g<a.r;g++){++j[a.D[0][g]];++j[a.D[1][g]]}for(d=0;d<a.q;d++){a.i[d]=gW(Ykb.AX,gmb,6,j[d],15,1);a.k[d]=gW(Ykb.AX,gmb,6,j[d],15,1);a.n[d]=gW(Ykb.AX,gmb,6,j[d],15,1)}l=false;for(h=0;h<a.g;h++){m=clb.Hk(a,h);if(m==0){l=true;continue}for(k=0;k<2;k++){c=a.D[k][h];b=a.e[c];a.n[c][b]=m;a.i[c][b]=a.D[1-k][h];a.k[c][b]=h;++a.e[c];++a.j[c];c<a.f&&(m>1?(a.o[c]+=m-1):a.H[h]==64&&(a.o[c]=1))}}for(i=a.g;i<a.r;i++){m=clb.Hk(a,i);if(m==0){l=true;continue}for(k=0;k<2;k++){c=a.D[k][i];b=a.e[c];a.n[c][b]=m;a.i[c][b]=a.D[1-k][i];a.k[c][b]=i;++a.e[c];a.D[1-k][i]<a.f&&++a.j[c]}}if(l){b=gW(Ykb.AX,gmb,6,a.q,15,1);for(e=0;e<a.q;e++)b[e]=a.e[e];for(f=0;f<a.r;f++){m=clb.Hk(a,f);if(m==0){for(k=0;k<2;k++){c=a.D[k][f];a.n[c][b[c]]=m;a.i[c][b[c]]=a.D[1-k][f];a.k[c][b[c]]=f;++b[c]}}}}};clb.Wm=function Wm(a,b,c){var d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w;clb.Gt(a,1);c&&(b=true);for(i=0;i<a.r;i++){j=clb.Hk(a,i);if(j==1||j==2){if(a.s[a.D[0][i]]>0&&a.s[a.D[1][i]]<0){f=a.D[0][i];g=a.D[1][i]}else if(a.s[a.D[0][i]]<0&&a.s[a.D[1][i]]>0){f=a.D[1][i];g=a.D[0][i]}else continue;if(clb.jl(a,f)||clb.jl(a,g))continue;if(a.C[f]<9&&clb.Pn(a,f)>3||a.C[g]<9&&clb.Pn(a,g)>3)continue;l=clb.Kn(a,f)!=0;a.s[f]-=1;a.s[g]+=1;if(!l){s=a.H[i];j==1?(a.H[i]=2):(a.H[i]=4);if(s==129||s==257){w=a.D[0][i];r=clb.Io(a,w,false);if(a.D[0][r]!=w){a.D[1][r]=a.D[0][r];a.D[1][r]=w}}}a.T=0}}t=0;p=0;n=0;for(e=0;e<a.q;e++){t+=a.s[e];if(a.s[e]<0&&!clb.ho(a,e)){++p;clb.gl(a,e)&&(n-=a.s[e])}}if(!b&&t!=0)throw c1(new Zkb.rz(\"molecule's overall charges are not balanced\"));clb.Gt(a,1);u=0;v=c?t+n:n;for(h=0;h<a.q;h++){if(a.s[h]>0){if(!clb.go(a,h)&&clb.gl(a,h)){k=$wnd.Math.min(clb.Kn(a,h),a.s[h]);if(k!=0&&v>=k){t-=k;u-=k;v-=k;a.s[h]-=k;a.T&=1}}}}q=c?t:u;if(q<0){o=gW(Ykb.AX,gmb,6,p,15,1);p=0;for(f=0;f<a.q;f++){a.s[f]<0&&!clb.ho(a,f)&&(o[p++]=(a.C[f]<<22)+f)}alb.jgb(o,alb.Pgb(X1(dlb.ucb.prototype.kc,dlb.ucb,[])));for(m=o.length-1;q<0&&m>=o.length-p;m--){d=o[m]&aob;if(clb.gl(a,d)){k=$wnd.Math.min(-q,-a.s[d]);t+=k;q+=k;a.s[d]+=k;a.T&=1}}}return t};clb.Xm=function Xm(a){var b,c,d,e,f,g,h,i,j,k,l,m,n;if(!a.K)return false;for(c=0;c<a.q;c++){n=clb.Qk(a,c);n+clb.Ok(a,c,n)-clb.Pn(a,c)<=0&&!(a.s[c]==0&&(a.C[c]==5||(e=a.C[c],e==7||e==15||e==33)||(d=a.C[c],d==8||d==16||d==34||d==52)))&&(a.B[c]=e1(a.B[c],-6145))}g=false;for(b=0;b<a.f;b++){h=a.e[b]-a.j[b];if(!a.S&&h>0){if(o1(e1(a.B[b],lnb),0)){k=o1(e1(a.B[b],Mmb),896)?3:o1(e1(a.B[b],Mmb),384)?2:o1(e1(a.B[b],128),128)?1:0;i=(n=clb.Qk(a,b),n+clb.Ok(a,b,n)-clb.Pn(a,b));a.s[b]==0&&o1(e1(a.B[b],Omb),0)&&a.C[b]!=6&&++i;l=h;l>3-k&&(l=3-k);l>i+h-k&&(l=i+h-k);if(l>0){m=k==0?0:C1(e1(a.B[b],Mmb),l);m=B1(m,Ykb.m1((l==3?7:h==2?3:1)<<7));a.B[b]=e1(a.B[b],-1921);a.B[b]=B1(a.B[b],e1(Mmb,m))}}for(j=a.j[b];j<a.e[b];j++){f=a.k[b][j];if(a.H[f]==1){a.C[a.i[b][j]]=-1;a.H[f]=512;g=true}}}}g&&clb.Oj(a);return g};clb.Ym=function Ym(a,b){var c,d,e,f;if(a.o[b]==2&&a.j[b]==2&&a.n[b][0]==2){for(e=0;e<2;e++){c=clb.bn(a,b,a.i[b][e]);if(c!=-1){for(f=0;f<a.j[c];f++){d=a.k[c][f];(a.H[d]==257||a.H[d]==129)&&a.D[0][d]==c&&(a.H[a.k[c][f]]=1)}}}return}if(a.o[b]==0||a.C[b]>=15){for(e=0;e<a.e[b];e++){d=a.k[b][e];(a.H[d]==257||a.H[d]==129)&&a.D[0][d]==b&&a.D[0][d]==b&&(a.H[d]=1)}}};clb.Zm=function Zm(a,b,c,d,e){var f,g,h,i,j;d&&clb.Gt(a,7);b.v=null;a.K&&clb.lm(b,true);i=c.length;e==null&&(e=gW(Ykb.AX,gmb,6,i,15,1));b.q=0;for(f=0;f<i;f++)e[f]=c[f]?clb.Pj(a,b,f,0,0):-1;b.r=0;for(j=0;j<a.r;j++){g=a.D[0][j];h=a.D[1][j];if(g<i&&h<i){if(c[g]&&c[h])clb.Qj(a,b,j,0,0,e==null?a.D[0][j]:e[a.D[0][j]],e==null?a.D[1][j]:e[a.D[1][j]],d);else if(a.s[g]!=0&&a.s[h]!=0&&a.s[g]<0^a.s[h]<0){c[g]&&(b.s[e[g]]+=a.s[g]<0?1:-1);c[h]&&(b.s[e[h]]+=a.s[h]<0?1:-1)}}}clb.Tj(a,b);!!a.d&&(b.T=0);b.T=0;clb.Cl(b,1);clb.Cl(b,2);b.q!=i&&clb.lm(b,true);d&&clb.ce(new clb.me(b),null,false)};clb.$m=function $m(a,b,c,d,e){var f,g,h,i,j;d&&clb.Gt(a,7);b.v=null;a.K&&clb.lm(b,true);e==null&&(e=gW(Ykb.AX,gmb,6,a.q,15,1));b.q=0;for(f=0;f<a.q;f++){e[f]=-1;for(j=0;j<a.j[f];j++){if(c[a.k[f][j]]){e[f]=clb.Pj(a,b,f,0,0);break}}}b.r=0;for(i=0;i<a.r;i++)if(c[i]){clb.Qj(a,b,i,0,0,e==null?a.D[0][i]:e[a.D[0][i]],e==null?a.D[1][i]:e[a.D[1][i]],d)}else{g=a.D[0][i];h=a.D[1][i];if(e[g]==-1^e[h]==-1){if(a.s[g]!=0&&a.s[h]!=0&&a.s[g]<0^a.s[h]<0){e[g]!=-1&&(b.s[e[g]]+=a.s[g]<0?1:-1);e[h]!=-1&&(b.s[e[h]]+=a.s[h]<0?1:-1)}}}clb.Tj(a,b);!!a.d&&(b.T=0);b.T=0;clb.Cl(b,1);clb.Cl(b,2);b.q!=a.q&&clb.lm(b,true);d&&clb.ce(new clb.me(b),null,false);return e};clb._m=function _m(a,b){var c,d,e,f,g,h,i,j,k,l;if((b&~a.T)==0)return;if((a.T&1)==0){clb.fo(a);clb.Vm(a);a.T|=1;if(clb.Xm(a)){clb.fo(a);clb.Vm(a)}}if((b&~a.T)==0)return;if((a.T&-7)!=0){for(d=0;d<a.f;d++)a.u[d]&=-15369;for(f=0;f<a.g;f++)a.F[f]&=-705;if((b&4)==0){clb.en(a,1);a.T|=2;return}clb.en(a,7);for(e=0;e<a.f;e++){for(k=0;k<a.j[e];k++){i=a.k[e][k];if(i<a.g&&clb.sr(a.p,i))continue;h=a.i[e][k];for(l=0;l<a.j[h];l++){if(a.k[h][l]==i)continue;a.n[h][l]>1&&(a.C[a.i[h][l]]==6?(a.u[e]|=Imb):!clb.mo(a,a.k[h][l])&&clb.gl(a,a.i[h][l])&&(a.u[e]|=knb))}}}while(true){j=false;for(c=0;c<a.f;c++){if(a.o[c]>0&&(a.u[c]&knb)!=0&&!clb.rr(a.p,c)){for(k=0;k<a.j[c];k++){if(a.n[c][k]>1){h=a.i[c][k];i=a.k[c][k];for(l=0;l<a.j[h];l++){if(a.k[h][l]!=i){g=a.i[h][l];if((a.u[g]&knb)==0){a.u[g]|=knb;j=true}}}}}}}if(!j)break}}a.T|=6};clb.an=function an(a,b){var c,d,e,f,g;c=-1;if(a.o[b]==1){for(f=0;f<a.j[b];f++){if(a.n[b][f]==2){d=a.i[b][f];if(a.j[d]==2&&a.o[d]==2){for(g=0;g<2;g++){e=a.i[d][g];if(e!=b&&a.o[e]==1){c=d;break}}}break}}}return c};clb.bn=function bn(a,b,c){var d,e;d=b;while(a.j[c]==2&&a.o[c]==2&&c!=d){e=c;c=a.i[c][0]==b?a.i[c][1]:a.i[c][0];b=e}return c==d?-1:c};clb.cn=function cn(a,b){var c;if(a.j[b]==3&&b<a.f&&clb.rr(a.p,b)&&(!!a.p&&b<a.f?clb.gr(a.p,b):0)>=5)for(c=0;c<a.j[b];c++)if(clb.no(a,a.k[b][c]))return a.k[b][c];return -1};clb.dn=function dn(a,b,c,d,e){var f,g,h,i,j,k;clb.Gt(a,7);if((a.u[b]&bob)==0||c&&!(b<a.f&&clb.rr(a.p,b)))return;i=gW(Ykb.AX,gmb,6,a.f,15,1);i[0]=b;d[b]=true;h=0;j=0;while(h<=j){for(k=0;k<a.j[i[h]];k++){g=a.k[i[h]][k];if(!e[g]&&(a.F[g]&64)!=0&&(!c||g<a.g&&clb.sr(a.p,g))){e[g]=true;f=a.i[i[h]][k];if(!d[f]){d[f]=true;i[++j]=f}}}++h}};clb.en=function en(a,b){var c,d,e,f,g,h,i,j;a.p=new clb.Fr(a,b);d=gW(Ykb.AX,gmb,6,a.f,15,1);for(e=0;e<a.g;e++){if(clb.ir(a.p,e)!=0){a.F[e]|=64;++d[a.D[0][e]];++d[a.D[1][e]]}}for(c=0;c<a.f;c++){d[c]==2?(a.u[c]|=Nmb):d[c]==3?(a.u[c]|=lnb):d[c]>3&&(a.u[c]|=bob)}for(j=0;j<a.p.i.a.length;j++){g=clb.kr(a.p,j);i=clb.lr(a.p,j);h=g.length;for(f=0;f<h;f++){a.u[g[f]]|=8;a.F[i[f]]|=128;a.H[i[f]]==386&&(a.H[i[f]]=2)}}};clb.fn=function fn(a){var b,c,d,e,f,g,h,i;h=gW(Ykb.Z0,Amb,6,a.q,16,1);for(c=0;c<a.q;c++)h[c]=a.C[c]==1&&a.A[c]==0&&a.s[c]==0&&(a.t==null||a.t[c]==null);i=gW(Ykb.Z0,Amb,6,a.q,16,1);for(g=0;g<a.r;g++){d=a.D[0][g];e=a.D[1][g];if(clb.Hk(a,g)!=1){h[d]=false;h[e]=false;continue}i[d]&&(h[d]=false);i[e]&&(h[e]=false);h[d]&&clb.jl(a,e)&&a.C[e]!=13&&(h[d]=false);h[e]&&clb.jl(a,d)&&a.C[d]!=13&&(h[e]=false);i[d]=true;i[e]=true}for(f=0;f<a.r;f++){if(h[a.D[0][f]]&&h[a.D[1][f]]){h[a.D[0][f]]=false;h[a.D[1][f]]=false}}for(b=0;b<a.q;b++)i[b]||(h[b]=false);return h};clb.gn=function gn(a,b){return a.e[b]};clb.hn=function hn(a,b){return a.i[b].length};clb.jn=function jn(a,b){return a.e[b]-clb.On(a,b)+clb.Kn(a,b)};clb.kn=function kn(a){var b,c;clb.Gt(a,7);b=0;for(c=0;c<a.p.i.a.length;c++)clb.qr(a.p,c)&&++b;return b};clb.ln=function ln(a,b){var c,d;c=0;for(d=0;d<a.j[b];d++)clb.gl(a,a.i[b][d])&&!clb.bl(a,a.k[b][d])&&++c;return c};clb.mn=function mn(a,b){return a.o[b]};clb.nn=function nn(a,b){clb.Gt(a,7);return a.o[b]==2&&a.j[b]==2?clb.Go(a,b,false):clb.Io(a,b,false)};clb.on=function on(a,b){var c;c=a.u[b]&bob;return c==0?0:c==Nmb?2:c==lnb?3:4};clb.pn=function pn(a,b,c){var d,e,f,g,h,i,j,k,l,m,n,o;clb.Gt(a,7);f=gW(Ykb.Z0,Amb,6,a.g,16,1);l=gW(Ykb.Z0,Amb,6,a.g,16,1);o=gW(Ykb.AX,gmb,6,a.f,15,1);g=0;for(h=1;h<a.j[b];h++){d=a.k[b][h];if((a.F[d]&64)!=0){for(j=0;j<h;j++){e=a.k[b][j];if((a.F[e]&64)!=0){l[d]=true;l[e]=true;n=clb.Rn(a,o,a.i[b][h],a.i[b][j],c-2,null,l);l[d]=false;l[e]=false;if(n!=-1){i=false;m=gW(Ykb.AX,gmb,6,n,15,1);clb.Sn(a,o,m,n);for(k=0;k<n;k++){if(!f[m[k]]){f[m[k]]=true;i=true}}i&&++g}}}}}return g};clb.qn=function qn(a,b){return !!a.p&&b<a.f?clb.gr(a.p,b):0};clb.rn=function rn(a,b){if(b){clb.Gt(a,1);return clb.wk(a,a.f,a.g,clb.vj)}else{return clb.wk(a,a.q,a.r,clb.vj)}};clb.sn=function sn(a){var b,c,d,e,f,g,h,i;clb.Gt(a,1);h=gW(Ykb.zX,cob,6,a.f,15,1);d=gW(Ykb.AX,gmb,6,a.f,15,1);for(i=0;i<a.f;i++){d[0]=i;e=gW(Ykb.AX,gmb,6,a.f,15,1);e[i]=1;c=0;f=0;while(c<=f){for(g=0;g<a.j[d[c]];g++){b=a.i[d[c]][g];if(e[b]==0){e[b]=e[d[c]]+1;d[++f]=b;h[i]+=e[b]-1}}++c}h[i]/=f}return h};clb.tn=function tn(a,b,c){var d;for(d=0;d<a.i[b].length;d++)if(a.i[b][d]==c)return a.k[b][d];return -1};clb.un=function un(a,b){return !!a.p&&b<a.g?clb.ir(a.p,b):0};clb.vn=function vn(a,b,c){return a.i[b][c]};clb.wn=function wn(a,b){return a.j[b]};clb.xn=function xn(a,b,c){return a.k[b][c]};clb.yn=function yn(a,b,c){return a.n[b][c]};clb.zn=function zn(a,b){var c,d;c=0;for(d=0;d<a.j[b];d++)z1(e1(a.B[d],Bmb),0)&&++c;return c};clb.An=function An(a,b){return a.e[b]-a.j[b]};clb.Bn=function Bn(a,b,c,d,e){var f,g,h,i;g=a.e[b];if(a.o[b]!=0||b<a.f&&clb.rr(a.p,b)||a.j[b]<3||g>4)return false;i=gW(Ykb.Z0,Amb,6,4,16,1);for(h=0;h<g;h++){f=3.9269908169872414-d[h];if($wnd.Math.abs(dob-f%Gmb)>0.0872664675116539)return false;e[h]=3&vX(f/Gmb);if(i[e[h]])return false;i[e[h]]=true;if((e[h]&1)==0){if(a.H[a.k[b][c[h]]]!=1)return false}else{if(!clb.ql(a,a.k[b][c[h]],b))return false}}return i[0]&&i[2]};clb.Cn=function Cn(a,b,c,d,e){var f,g,h,i,j,k,l,m;if((!!a.p&&b<a.f?clb.gr(a.p,b):0)>24)return 3;f=a.e[b];e==null&&(e=gW(Ykb.AX,gmb,6,f,15,1));if(!clb.Bn(a,b,c,d,e))return 3;i=-1;for(j=0;j<f;j++){if((e[j]&1)==1){g=a.H[a.k[b][c[j]]];if(i!=-1&&i!=g)return 3;i=g}}k=$wnd.Math.abs(e[0]-e[1])==2?1:0;h=e[k]-e[k+1];m=$wnd.Math.abs(h)==3^e[k]<e[k+1];l=f==3||(e[3]&1)==1;return m^l^i==129?1:2};clb.Dn=function Dn(a,b,c){var d,e,f,g,h,i,j,k,l,m;clb.Gt(a,1);m=gW(Ykb.Z0,Amb,6,a.q,16,1);j=gW(Ykb.AX,gmb,6,a.q,15,1);j[0]=b;m[b]=true;g=0;k=0;i=1;while(g<=k){f=c?clb.hn(a,j[g]):a.e[j[g]];for(l=0;l<f;l++){e=a.i[j[g]][l];if(!m[e]){j[++k]=e;m[e]=true;++i}}++g}h=gW(Ykb.AX,gmb,6,i,15,1);i=0;for(d=0;d<a.q;d++)m[d]&&(h[i++]=d);return h};clb.En=function En(a,b,c,d){var e,f,g,h,i,j,k,l,m;clb.Gt(a,1);for(f=0;f<a.q;f++)b[f]=-1;j=0;for(e=0;e<a.q;e++){if(b[e]==-1&&(!c||(a.u[e]&Gnb)!=0)){b[e]=j;k=gW(Ykb.AX,gmb,6,a.q,15,1);k[0]=e;i=0;l=0;while(i<=l){h=d?clb.hn(a,k[i]):a.e[k[i]];for(m=0;m<h;m++){g=a.i[k[i]][m];if(b[g]==-1&&(!c||(a.u[g]&Gnb)!=0)){k[++l]=g;b[g]=j}}++i}++j}}return j};clb.Fn=function Fn(a,b,c,d){var e,f,g,h,i,j,k,l,m;clb.Gt(a,1);for(f=0;f<a.q;f++)b[f]=-1;j=0;for(e=0;e<a.q;e++){if(b[e]==-1){b[e]=j;k=gW(Ykb.AX,gmb,6,a.q,15,1);k[0]=e;i=0;l=0;while(i<=l){h=d?clb.hn(a,k[i]):a.e[k[i]];for(m=0;m<h;m++){g=a.i[k[i]][m];if(b[g]==-1&&!c[a.k[k[i]][m]]){k[++l]=g;b[g]=j}}++i}++j}}return j};clb.Gn=function Gn(a,b){var c;return c=clb.Qk(a,b),c+clb.Ok(a,b,c)-clb.Pn(a,b)};clb.Hn=function Hn(a,b){var c,d,e,f,g,h;f=gW(Ykb.AX,gmb,6,a.q,15,1);for(d=0;d<a.q;d++)f[d]=d;e=a.q;do --e;while(e>=0&&b[e]);for(c=0;c<e;c++){if(b[f[c]]){h=f[c];f[c]=f[e];f[e]=h;g=b[c];b[c]=b[e];b[e]=g;do --e;while(b[e])}}return f};clb.In=function In(a){return clb.Hn(a,clb.fn(a))};clb.Jn=function Jn(a,b,c){var d,e,f;e=clb.Pn(a,b);e-=clb.Ok(a,b,e);c&&(e-=a.e[b]-a.j[b]);f=clb.Km(a.C[b]);if(e<=f[0])return -1;for(d=1;d<f.length;d++)if(f[d]>=e)return f[d];return e};clb.Kn=function Kn(a,b){var c,d,e,f,g,h;if(a.K&&o1(e1(a.B[b],lnb),0))return 0;if(!clb.Ro(a,b))return 0;clb.Gt(a,1);g=0;for(e=0;e<a.e[b];e++)g+=a.n[b][e];if(a.K){c=1;for(d=0;d<a.j[b];d++)a.H[a.k[b][d]]==64&&++c;g+=c>>1}g-=clb.Ok(a,b,g);f=((a.u[b]&Rnb)>>>27)-1;if(f==-1){h=clb.Km(a.C[b]);f=h[0];for(d=1;f<g&&d<h.length;d++)f=h[d]}return $wnd.Math.max(0,f-g)};clb.Ln=function Ln(a,b){var c,d,e,f,g;e=clb.Pn(a,b);c=clb.Ok(a,b,e);f=((a.u[b]&Rnb)>>>27)-1;if(f==-1){g=clb.Km(a.C[b]);d=0;while(e>g[d]+c&&d<g.length-1)++d;f=g[d]}return f+c-e};clb.Mn=function Mn(a,b){return a.i[b].length-a.e[b]};clb.Nn=function Nn(a){var b,c,d,e;clb.Gt(a,1);e=0;for(b=0;b<a.q;b++){d=a.A[b]!=0?a.A[b]:clb.uj[a.C[b]];e+=d+clb.Kn(a,b)*clb.uj[1];if(a.C[b]>=171&&a.C[b]<=190){c=a.e[b];c>2&&(e-=(c-2)*clb.uj[1])}}return e};clb.On=function On(a,b){var c,d;c=a.j[b];for(d=0;d<a.j[b];d++)a.C[a.i[b][d]]==1&&--c;return c};clb.Pn=function Pn(a,b){var c,d,e,f,g,h;a.wb(1);g=false;d=false;h=0;for(e=0;e<a.e[b];e++){if(!a.K||o1(e1(a.B[a.i[b][e]],Bmb),0)){f=a.n[b][e];h+=f;f>1&&(g=true);c=a.k[b][e];a.H[c]==64&&(d=true)}}d&&!g&&++h;return h};clb.Qn=function Qn(a,b,c){var d,e,f;e=0;for(f=0;f<a.j[b];f++){d=a.i[b][f];d!=c&&a.j[d]>2&&++e}return e};clb.Rn=function Rn(a,b,c,d,e,f,g){var h,i,j,k,l,m,n,o,p;if(c==d){b[0]=c;return 0}a.wb(1);k=gW(Ykb.AX,gmb,6,a.q,15,1);j=gW(Ykb.AX,gmb,6,a.q,15,1);p=gW(Ykb.AX,gmb,6,a.q,15,1);j[0]=c;k[c]=1;i=0;l=0;while(i<=l&&k[j[i]]<=e){o=j[i];for(m=0;m<a.e[o];m++){if(g==null||g.length<=a.k[o][m]||!g[a.k[o][m]]){h=a.i[o][m];if(h==d){n=k[o];b[n]=h;b[--n]=o;while(n>0){b[n-1]=p[b[n]];--n}return k[o]}if(k[h]==0&&(f==null||f.length<=h||!f[h])){j[++l]=h;k[h]=k[o]+1;p[h]=o}}}++i}return -1};clb.Sn=function Sn(a,b,c,d){var e,f;clb.Gt(a,1);for(e=0;e<d;e++){for(f=0;f<a.e[b[e]];f++){if(a.i[b[e]][f]==b[e+1]){c[e]=a.k[b[e]][f];break}}}};clb.Tn=function Tn(a,b,c){var d,e,f,g,h,i;if(b==c)return 0;clb.Gt(a,1);g=gW(Ykb.AX,gmb,6,a.q,15,1);f=gW(Ykb.AX,gmb,6,a.q,15,1);f[0]=b;g[b]=1;e=0;h=0;while(e<=h){for(i=0;i<a.e[f[e]];i++){d=a.i[f[e]][i];if(d==c)return g[f[e]];if(g[d]==0){f[++h]=d;g[d]=g[f[e]]+1}}++e}return -1};clb.Un=function Un(a,b,c,d,e){var f,g,h,i,j,k;if(b==c)return 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c;for(c=0;c<a.j[b];c++)if(a.s[a.i[b][c]]<0)return true;return false};clb.ho=function ho(a,b){var c;for(c=0;c<a.j[b];c++)if(a.s[a.i[b][c]]>0)return true;return false};clb.io=function io(a,b){var c;c=a.C[b];return c==3||c==11||c==19||c==37||c==55};clb.jo=function jo(a,b){return (a.u[b]&Imb)!=0};clb.ko=function ko(a,b){var c,d,e,f,g,h;clb.Gt(a,1);for(g=0;g<2;g++){c=a.D[g][b];if(a.C[c]==7){d=a.D[1-g][b];for(h=0;h<a.j[d];h++){e=a.i[d][h];f=a.k[d][h];if((a.C[e]==7||a.C[e]==8||a.C[e]==16)&&clb.Hk(a,f)>=2)return true}}}return false};clb.lo=function lo(a,b){return b<a.f&&clb.rr(a.p,b)};clb.mo=function mo(a,b){return b<a.g&&clb.sr(a.p,b)};clb.no=function no(a,b){var c,d,e,f,g,h;if(a.H[b]!=1||b<a.g&&clb.sr(a.p,b)||(a.F[b]&64)!=0&&(!!a.p&&b<a.g?clb.ir(a.p,b):0)<7)return false;c=a.D[0][b];if(!(c<a.f&&clb.rr(a.p,c))||(!!a.p&&c<a.f?clb.gr(a.p,c):0)<5)return false;d=a.D[1][b];if(!(d<a.f&&clb.rr(a.p,d))||(!!a.p&&d<a.f?clb.gr(a.p,d):0)<5)return false;e=clb.Qn(a,c,d);f=clb.Qn(a,d,c);if((!!a.p&&c<a.f?clb.gr(a.p,c):0)>5&&(!!a.p&&d<a.f?clb.gr(a.p,d):0)>5)return e+f>2;g=clb.Zn(a,c,d);h=clb.Zn(a,d,c);if(e==2&&h>=1)return true;if(f==2&&g>=1)return true;if(g==2&&(f>=1||h>=1))return true;if(h==2&&(e>=1||g>=1))return true;return false};clb.oo=function oo(a,b){return a.o[b]==2&&a.j[b]==2&&a.n[b][0]==2&&a.n[b][1]==2&&a.C[b]<=7};clb.po=function po(a,b){var c;c=a.C[b];return c==8||c==16||c==34||c==52};clb.qo=function qo(a,b){return b<a.g&&(clb.wr(a.p,b)||a.H[b]==64)};clb.ro=function ro(a,b){var c;c=a.C[b];return c==12||c==20||c==38||c==56};clb.so=function so(a,b,c){var d,e,f,g,h,i,j,k,l,m,n,o,p;if(a.C[b]!=7||a.j[b]==4)return false;if(b<a.f&&clb.rr(a.p,b)||a.o[b]!=0||z1(e1(a.B[b],jnb),0))return true;if(a.s[b]==1)return false;for(i=0;i<a.j[b];i++)if(clb.un(a,a.k[b][i])==3)return 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6:if(f==2){if(i){if(g<=4)return true}else if(!j){if(g<=3)return true}}else if(f==3){if(i){if(g<=6)return true}else{if(g<=4)return true}}break;case 7:if(f==3){if(g<=3)return true}}return false};clb.xo=function xo(a,b){var c,d,e,f,g;if(b<a.f&&clb.rr(a.p,b)||a.o[b]!=0||z1(e1(a.B[b],jnb),0)||(d=a.u[b]&bob,(d==0?0:d==Nmb?2:d==lnb?3:4)<3))return false;g=!!a.p&&b<a.f?clb.gr(a.p,b):0;if(g>7)return false;f=0;while(f<a.p.i.a.length){if(clb.nr(a.p,f)==g&&clb.tr(a.p,f,b))break;++f}if(f>=Nmb&&f==a.p.i.a.length)return false;for(e=0;e<a.j[b];e++){c=a.k[b][e];if(!clb.ur(a.p,f,c)&&clb.wo(a,b,f,a.i[b][e],c))return true}return false};clb.yo=function yo(a,b){return (a.u[b]&bob)!=0};clb.zo=function zo(a,b){return (a.F[b]&64)!=0};clb.Ao=function Ao(a,b){return a.C[b]==1&&a.A[b]==0&&a.s[b]==0&&(a.t==null||a.t[b]==null)};clb.Bo=function Bo(a,b){return (a.u[b]&8)!=0};clb.Co=function Co(a,b){return (a.F[b]&128)!=0};clb.Do=function Do(a,b){return (a.u[b]&knb)!=0};clb.Eo=function Eo(a){var b,c,d,e,f,g,h,i,j,k,l;clb.Gt(a,1);clb.Fo(a);j=false;for(c=0;c<a.f;c++){if(a.C[c]==7&&a.s[c]==0){l=clb.Pn(a,c);if(l==4){for(k=0;k<a.j[c];k++){h=a.i[c][k];if(a.n[c][k]==1&&a.C[h]==8&&a.j[h]==1&&a.s[h]==0){j=true;++a.s[c];--a.s[h];break}}}else if(l==5){for(k=0;k<a.j[c];k++){h=a.i[c][k];i=a.k[c][k];if(a.n[c][k]==2&&a.C[h]==8){j=true;++a.s[c];--a.s[h];a.H[i]=1;break}if(a.n[c][k]==3&&a.C[h]==7){j=true;++a.s[c];--a.s[h];a.H[i]=2;break}}}}}g=false;for(f=0;f<a.g;f++){for(k=0;k<2;k++){if(clb.gl(a,a.D[k][f])){b=a.D[1-k][f];e=a.C[b];if(e==3||e==11||e==19||e==37||e==55||(d=a.C[b],d==12||d==20||d==38||d==56)){if(clb.Hk(a,f)==1){++a.s[b];--a.s[a.D[k][f]];a.H[f]=512;g=true}else if(a.H[f]==32){a.H[f]=512;g=true}}break}}}if(g){clb.Oj(a);j=true}j&&(a.T=0);return j};clb.Fo=function Fo(a){var b;for(b=0;b<a.g;b++)if(a.H[b]==64)return clb.ce(new clb.me(a),null,false);return false};clb.Go=function Go(a,b,c){var d,e,f,g,h,i,j,k;j=-1;e=0;for(h=0;h<2;h++){d=a.i[b][h];for(i=0;i<a.e[d];i++){f=a.i[d][i];if(f!=b){g=a.k[d][i];k=clb.ao(a,g,f);if(e<k&&(!c||!(a.H[g]==257||a.H[g]==129))){e=k;j=g}}}}return j};clb.Ho=function Ho(a,b){var c,d,e,f,g,h,i,j;i=-1;d=0;for(g=0;g<2;g++){c=a.D[g][b];for(h=0;h<a.e[c];h++){e=a.i[c][h];if(e!=a.D[1-g][b]){f=a.k[c][h];j=clb.ao(a,f,e);if(d<j){d=j;i=f}}}}return i};clb.Io=function Io(a,b,c){var d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,A;d=a.e[b];e=gW(Ykb.yX,emb,6,d,15,1);for(q=0;q<d;q++)e[q]=clb.yk(a,b,a.i[b][q]);for(r=1;r<d;r++){for(u=0;u<r;u++){f=$wnd.Math.abs(clb.Mm(e[r],e[u]));if(f<0.08||f>eob){g=0;h=0;for(v=0;v<d;v++){if(v!=r&&v!=u){g+=$wnd.Math.abs(slb.zT(e[r],e[v]));h+=$wnd.Math.abs(slb.zT(e[u],e[v]))}}j=g<h?a.k[b][r]:a.k[b][u];if(clb.Hk(a,j)==1&&(!c||!(a.H[j]==257||a.H[j]==129)))return j}}}t=gW(Ykb.Z0,Amb,6,d,16,1);for(s=0;s<d;s++){k=-10;l=10;for(u=0;u<d;u++){if(u!=s){o=slb.zT(e[s],e[u]);o<0?k<o&&(k=o):l>o&&(l=o)}t[s]=l-k<Fmb}}w=-1;i=0;for(p=0;p<d;p++){m=a.i[b][p];n=a.k[b][p];A=clb.ao(a,n,m);t[p]&&(A+=Hmb);if(i<A&&(!c||!(a.H[n]==257||a.H[n]==129))){i=A;w=n}}return w};clb.Jo=function Jo(a,b){var c,d,e,f;clb.Gt(a,b?15:1);a.q=a.f;a.r=a.g;for(d=0;d<a.f;d++){if(a.e[d]!=a.j[d]){c=clb.Jn(a,d,false);a.e[d]=a.j[d];if(c!=-1){f=clb.Jn(a,d,true);if(c!=f){e=((a.u[d]&Rnb)>>>27)-1;(e==-1||e<c)&&clb.Gl(a,d,c)}}}}b&&clb.Po(a);a.T=0};clb.Ko=function Ko(a,b){var c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,A;if(a.j[b]!=2||a.n[b][0]!=2||a.n[b][1]!=2||a.j[a.i[b][0]]<2||a.j[a.i[b][1]]<2||a.o[a.i[b][0]]!=1||a.o[a.i[b][1]]!=1){clb.Tl(a,b,0,false);return}v=-1;u=-1;t=-1;q=-1;f=0;for(l=0;l<2;l++){d=a.i[b][l];for(o=0;o<a.e[d];o++){g=a.i[d][o];if(g!=b){h=a.k[d][o];w=clb.ao(a,h,g);if(f<w){f=w;u=g;v=h;t=d;q=a.i[b][1-l]}}}}if(u==-1)return;for(m=0;m<2;m++){d=a.i[b][m];for(o=0;o<a.e[d];o++){g=a.i[d][o];h=a.k[d][o];g!=b&&a.D[0][h]==d&&(a.H[h]=1)}}if(a.D[1][v]!=u){a.D[0][v]=a.D[1][v];a.D[1][v]=u}i=Qlb;for(n=0;n<a.j[t];n++){g=a.i[t][n];g!=b&&i>g&&(i=g)}r=gW(Ykb.AX,gmb,6,2,15,1);s=0;for(k=0;k<a.j[q];k++){g=a.i[q][k];g!=b&&(r[s++]=g)}c=clb.Lm(a.J[b].a,a.J[b].b,a.J[q].a,a.J[q].b);e=0;if(s==2){if(r[0]>r[1]){A=r[0];r[0]=r[1];r[1]=A}j=clb.Mm(c,clb.yk(a,q,r[0]));p=clb.Mm(c,clb.yk(a,q,r[1]));e=j-p}else{e=clb.Mm(c,clb.yk(a,q,r[0]))}e<0^(a.u[b]&3)==1^i==u?(a.H[v]=257):(a.H[v]=129)};clb.Lo=function Lo(a,b,c,d){var e,f,g,h,i,j;e=a.e[b];h=gW(Ykb.AX,gmb,6,e,15,1);j=clb.Cn(a,b,c,d,h);if(j==3)return false;g=(a.u[b]&3)==j?257:129;for(i=0;i<e;i++){if((h[i]&1)==1){f=a.k[b][c[i]];a.H[f]=g;if(a.D[0][f]!=b){a.D[1][f]=a.D[0][f];a.D[0][f]=b}}}return true};clb.Mo=function Mo(a,b){a.T|=248&(8|b)};clb.No=function No(a,b){var c,d,e,f,g,h,i,j,k,l,m,n,o,p,q;clb.Ym(a,b);if((a.u[b]&3)==0||(a.u[b]&3)==3)return;if(a.o[b]==2&&a.j[b]==2){clb.Ko(a,b);return}if(a.j[b]<3||a.j[b]>4){clb.Tl(a,b,0,false);return}c=a.e[b];o=false;for(g=0;g<c;g++){if(clb.Hk(a,a.k[b][g])==1){o=true;break}}if(!o)return;p=clb.$n(a,b);d=gW(Ykb.yX,emb,6,c,15,1);for(h=0;h<c;h++)d[h]=clb.yk(a,a.i[b][p[h]],b);for(i=0;i<c;i++)a.D[0][a.k[b][i]]==b&&clb.Hk(a,a.k[b][i])==1&&(a.H[a.k[b][i]]=1);if((!!a.p&&b<a.f?clb.gr(a.p,b):0)<=24&&clb.Lo(a,b,p,d))return;m=clb.Io(a,b,true);if(a.D[0][m]!=b){a.D[1][m]=a.D[0][m];a.D[0][m]=b}n=-1;for(j=0;j<c;j++){if(m==a.k[b][p[j]]){n=j;break}}q=oW(aW(Ykb.AX,2),Dnb,7,0,[oW(aW(Ykb.AX,1),gmb,6,15,[2,1,2,1]),oW(aW(Ykb.AX,1),gmb,6,15,[1,2,2,1]),oW(aW(Ykb.AX,1),gmb,6,15,[1,1,2,2]),oW(aW(Ykb.AX,1),gmb,6,15,[2,1,1,2]),oW(aW(Ykb.AX,1),gmb,6,15,[2,2,1,1]),oW(aW(Ykb.AX,1),gmb,6,15,[1,2,1,2])]);for(f=1;f<c;f++)d[f]<d[0]&&(d[f]+=Emb);if(c==3){k=false;switch(n){case 0:k=d[1]<d[2]&&d[2]-d[1]<Fmb||d[1]>d[2]&&d[1]-d[2]>Fmb;break;case 1:k=d[2]-d[0]>Fmb;break;case 2:k=d[1]-d[0]<Fmb;}e=(a.u[b]&3)==1^k?257:129}else{l=0;d[1]<=d[2]&&d[2]<=d[3]?(l=0):d[1]<=d[3]&&d[3]<=d[2]?(l=1):d[2]<=d[1]&&d[1]<=d[3]?(l=2):d[2]<=d[3]&&d[3]<=d[1]?(l=3):d[3]<=d[1]&&d[1]<=d[2]?(l=4):d[3]<=d[2]&&d[2]<=d[1]&&(l=5);e=(a.u[b]&3)==1^q[l][n]==1?129:257}a.H[m]=e};clb.Oo=function Oo(a,b){var c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,A;if((a.F[b]&3)==0||(a.F[b]&3)==3||!clb.no(a,b))return;v=-1;t=-1;u=-1;s=-1;e=0;for(l=0;l<2;l++){d=a.D[l][b];for(o=0;o<a.e[d];o++){h=a.k[d][o];if(h!=b&&clb.Hk(a,h)==1){g=a.i[d][o];w=clb.ao(a,h,g);if(e<w){e=w;t=g;v=h;u=d;s=a.D[1-l][b]}}}}if(t==-1)return;for(m=0;m<2;m++){for(o=0;o<a.e[a.D[m][b]];o++){h=a.k[a.D[m][b]][o];h!=b&&clb.Hk(a,h)==1&&(a.H[h]=1)}}if(a.D[1][v]!=t){a.D[0][v]=a.D[1][v];a.D[1][v]=t}i=Qlb;for(n=0;n<a.j[u];n++){g=a.i[u][n];a.k[u][n]!=b&&i>g&&(i=g)}q=gW(Ykb.AX,gmb,6,2,15,1);r=0;for(k=0;k<a.j[s];k++)a.k[s][k]!=b&&(q[r++]=a.i[s][k]);f=clb.Lm(a.J[u].a,a.J[u].b,a.J[s].a,a.J[s].b);c=0;if(r==2){if(q[0]>q[1]){A=q[0];q[0]=q[1];q[1]=A}j=clb.Mm(f,clb.yk(a,s,q[0]));p=clb.Mm(f,clb.yk(a,s,q[1]));c=j-p}else{c=clb.Mm(f,clb.yk(a,s,q[0]))}c<0^(a.F[b]&3)==2^i==t?(a.H[v]=257):(a.H[v]=129)};clb.Po=function Po(a){var b,c,d,e;clb.Gt(a,7);for(d=0;d<a.g;d++)(a.H[d]==257||a.H[d]==129)&&(a.H[d]=1);for(b=0;b<a.f;b++)clb.No(a,b);for(e=0;e<a.g;e++)clb.Oo(a,e);for(c=0;c<a.g;c++)a.H[c]==2&&(a.F[c]&3)==3&&(a.H[c]=386)};clb.Qo=function Qo(b,c){var d,e,f,g,h,i,j,k,l,m;i=gW(Ykb.AX,gmb,6,b.q,15,1);h=clb.En(b,i,false,c);if(h<=1)return null;j=gW(Ykb.AX,gmb,6,h,15,1);for(e=0;e<b.f;e++)++j[i[e]];l=0;m=j[0];for(k=1;k<h;k++){if(m<j[k]){m=j[k];l=k}}for(d=0;d<b.q;d++)i[d]!=l&&(b.C[d]=-1);for(g=0;g<b.r;g++)(!c&&b.H[g]==32||i[b.D[0][g]]!=l)&&(b.H[g]=512);f=clb.Oj(b);b.T=0;try{clb.Wm(b,true,true)}catch(a){a=b1(a);if(!mX(a,15))throw c1(a)}return f};clb.Ro=function Ro(a,b){if((a.u[b]&Rnb)!=0)return true;if(a.C[b]==1)return false;return clb.ll(a,b)||a.C[b]==13||a.C[b]>=171};clb.So=function So(a){var b,c,d,e,f,g,h,i,j,k;f=clb.wk(a,a.q,a.r,clb.vj);g=f*f/16;for(d=1;d<a.q;d++){for(e=0;e<d;e++){i=a.J[e].a-a.J[d].a;j=a.J[e].b-a.J[d].b;k=a.J[e].c-a.J[d].c;if(i*i+j*j+k*k<g)throw c1(new Zkb.rz('The distance between two atoms is too close.'))}}clb.Gt(a,1);b=0;for(c=0;c<a.f;c++){if(clb.Pn(a,c)>(h=clb.Qk(a,c),h+clb.Ok(a,c,h)))throw c1(new Zkb.rz('atom valence exceeded'));b+=a.s[c]}if(b!=0)throw c1(new Zkb.rz('unbalanced atom charge'))};clb.To=function To(a,b,c){var d;d=clb.zm(a,b,c);if(d&&c==386){clb.Gt(a,7);d=d&(a.F[b]&128)==0}return d};clb.Uo=function Uo(){clb.Cm.call(this)};clb.Vo=function Vo(a,b){clb.Dm.call(this,a,b)};clb.Wo=function Wo(a){clb.Dm.call(this,!a?256:a.M,!a?256:a.N);!!a&&clb.Sj(a,this)};U1(91,74,{91:1,74:1,4:1});_.wb=function Xo(a){clb._m(this,a)};_.vb=function Yo(a){return clb.qo(this,a)};_.f=0;_.g=0;Ykb.YX=w3(91);clb.Zo=function Zo(a,b){return $wnd.Math.pow(10,$wnd.Math.log(2000)*$wnd.Math.LOG10E*a/(b-1)-1)};clb.$o=function $o(a,b){var c,d;c=b;d=0;while(b!=0){if(a.d==0){a.f=(a.c[++a.e]&63)<<11;a.d=6}d|=(Ylb&a.f)>>16-c+b;a.f<<=1;--b;--a.d}return d};clb._o=function _o(a,b,c){a.d=6;a.e=c;a.c=b;a.f=(b[a.e]&63)<<11};clb.ap=function ap(a,b){var c,d,e,f;d=b/2|0;e=a>=d;e&&(a-=d);f=b/32|0;c=f*a/(d-a);return e?-c:c};clb.bp=function bp(a,b){var c;return b==null||alb.Pgb(b).length==0?null:clb.dp(a,alb.qgb((c=b,alb.lgb(),c)),null)};clb.cp=function cp(a,b,c){var d,e;return b==null?null:clb.dp(a,alb.qgb((e=b,alb.lgb(),e)),c==null?null:alb.qgb((d=c,d)))};clb.dp=function dp(a,b,c){var d,e,f,g,h;clb._o(a,b,0);d=clb.$o(a,4);g=clb.$o(a,4);d>8&&(d=g);e=clb.$o(a,d);f=clb.$o(a,g);h=new clb.Zt(e,f);clb.gp(a,h,b,c,0);return h};clb.ep=function ep(a,b,c){var d,e,f,g;if(c==null||alb.Pgb(c).length==0){clb.fp(a,b,null,null);return}d=Zkb.g5(c,s5(32));d>0&&d<alb.Pgb(c).length-1?clb.fp(a,b,alb.qgb((f=(alb.Jgb(0,d,alb.Pgb(c).length),alb.Pgb(c).substr(0,d)),alb.lgb(),f)),alb.qgb((g=(alb.Kgb(d+1,alb.Pgb(c).length+1),alb.Pgb(c).substr(d+1)),g))):clb.fp(a,b,alb.qgb((e=c,alb.lgb(),e)),null)};clb.fp=function fp(a,b,c,d){if(c==null||c.length==0){clb.Nj(b);return}clb.gp(a,b,c,d,0)};clb.gp=function gp(b,c,d,e,f){var g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,A,B,C,D,F,G,H,I,J,K,L,M,N,O,P,Q,R,S,T,U,V,W,X,Y,Z,$,ab,bb,cb,db,eb,fb,gb,hb,ib,jb,kb,lb,mb,nb,ob,pb,qb,rb,sb,tb,ub,vb,wb,xb,yb,zb,Ab,Bb,Cb,Db,Eb,Fb,Gb,Hb,Ib,Jb,Kb,Lb,Mb,Nb,Ob,Pb,Qb,Rb,Sb,Tb,Ub,Vb,Wb,Xb,Yb,Zb,$b,_b,ac,bc,cc,dc,ec,fc,gc,hc,ic,jc,kc,lc,mc,nc,oc,pc,qc,rc,sc,tc,uc,vc,wc,xc,yc,zc,Ac;clb.Nj(c);if(d==null||0>=d.length)return;b.g=c;uc=8;e!=null&&(f<0||f>=e.length)&&(e=null);clb._o(b,d,0);i=clb.$o(b,4);B=clb.$o(b,4);if(i>8){uc=i;i=B}if(i==0){clb.lm(b.g,clb.$o(b,1)==1);return}j=clb.$o(b,i);k=clb.$o(b,B);ic=clb.$o(b,i);mc=clb.$o(b,i);lc=clb.$o(b,i);O=clb.$o(b,i);for(o=0;o<j;o++)clb.yj(b.g,6);for(kb=0;kb<ic;kb++)clb._l(b.g,clb.$o(b,i),7);for(lb=0;lb<mc;lb++)clb._l(b.g,clb.$o(b,i),8);for(wb=0;wb<lc;wb++)clb._l(b.g,clb.$o(b,i),clb.$o(b,8));for(Hb=0;Hb<O;Hb++)clb.Il(b.g,clb.$o(b,i),clb.$o(b,4)-8);P=1+k-j;V=clb.$o(b,4);A=0;clb.Yl(b.g,0,0);clb.Zl(b.g,0,0);clb.$l(b.g,0,0);W=e!=null&&e[f]>=39;tc=0;wc=0;yc=0;Ac=0;R=false;S=false;if(W){if(e.length>2*j-2&&e[2*j-2]==39||e.length>3*j-3&&e[3*j-3]==39){S=true;R=e.length==3*j-3+9;_b=R?3*j-3:2*j-2;w=86*(e[_b+1]-40)+e[_b+2]-40;tc=$wnd.Math.pow(10,w/2000-1);_b+=2;vc=86*(e[_b+1]-40)+e[_b+2]-40;wc=$wnd.Math.pow(10,vc/1500-1);_b+=2;xc=86*(e[_b+1]-40)+e[_b+2]-40;yc=$wnd.Math.pow(10,xc/1500-1);if(R){_b+=2;zc=86*(e[_b+1]-40)+e[_b+2]-40;Ac=$wnd.Math.pow(10,zc/1500-1)}}else{R=e.length==3*j-3}}if(b.xb()&&R){e=null;W=false}for(Sb=1;Sb<j;Sb++){X=clb.$o(b,V);if(X==0){if(W){clb.Yl(b.g,Sb,clb.rk(b.g,0)+8*(e[Sb*2-2]-83));clb.Zl(b.g,Sb,clb.sk(b.g,0)+8*(e[Sb*2-1]-83));R&&clb.$l(b.g,Sb,clb.tk(b.g,0)+8*(e[2*j-3+Sb]-83))}++P;continue}A+=X-1;if(W){clb.Yl(b.g,Sb,clb.rk(b.g,A)+e[Sb*2-2]-83);clb.Zl(b.g,Sb,clb.sk(b.g,A)+e[Sb*2-1]-83);R&&clb.$l(b.g,Sb,clb.tk(b.g,A)+(e[2*j-3+Sb]-83))}clb.Aj(b.g,A,Sb,1)}for(Wb=0;Wb<P;Wb++)clb.Aj(b.g,clb.$o(b,i),clb.$o(b,i),1);ac=gW(Ykb.Z0,Amb,6,k,16,1);for(I=0;I<k;I++){J=clb.$o(b,2);switch(J){case 0:ac[I]=true;break;case 2:clb.jm(b.g,I,2);break;case 3:clb.jm(b.g,I,4);}}h=clb.$o(b,i);for(Xb=0;Xb<h;Xb++){n=clb.$o(b,i);if(uc==8){nc=clb.$o(b,2);if(nc==3){clb.Nl(b.g,n,1,0);clb.Tl(b.g,n,1,false)}else{clb.Tl(b.g,n,nc,false)}}else{nc=clb.$o(b,3);switch(nc){case 4:clb.Tl(b.g,n,1,false);clb.Nl(b.g,n,1,clb.$o(b,3));break;case 5:clb.Tl(b.g,n,2,false);clb.Nl(b.g,n,1,clb.$o(b,3));break;case 6:clb.Tl(b.g,n,1,false);clb.Nl(b.g,n,2,clb.$o(b,3));break;case 7:clb.Tl(b.g,n,2,false);clb.Nl(b.g,n,2,clb.$o(b,3));break;default:clb.Tl(b.g,n,nc,false);}}}uc==8&&clb.$o(b,1)==0&&(b.g.L=true);g=clb.$o(b,B);for(Yb=0;Yb<g;Yb++){D=clb.$o(b,B);if(clb.Kk(b.g,D)==1){nc=clb.$o(b,3);switch(nc){case 4:clb.gm(b.g,D,1,false);clb.dm(b.g,D,1,clb.$o(b,3));break;case 5:clb.gm(b.g,D,2,false);clb.dm(b.g,D,1,clb.$o(b,3));break;case 6:clb.gm(b.g,D,1,false);clb.dm(b.g,D,2,clb.$o(b,3));break;case 7:clb.gm(b.g,D,2,false);clb.dm(b.g,D,2,clb.$o(b,3));break;default:clb.gm(b.g,D,nc,false);}}else{clb.gm(b.g,D,clb.$o(b,2),false)}}clb.lm(b.g,clb.$o(b,1)==1);m=null;kc=0;while(clb.$o(b,1)==1){U=kc+clb.$o(b,4);switch(U){case 0:jc=clb.$o(b,i);for(Zb=0;Zb<jc;Zb++){n=clb.$o(b,i);clb.Ul(b.g,n,lnb,true)}break;case 1:jc=clb.$o(b,i);for($b=0;$b<jc;$b++){n=clb.$o(b,i);gc=clb.$o(b,8);clb.Sl(b.g,n,gc)}break;case 2:jc=clb.$o(b,B);for(mb=0;mb<jc;mb++){clb.$o(b,B)}break;case 3:jc=clb.$o(b,i);for(nb=0;nb<jc;nb++){n=clb.$o(b,i);clb.Ul(b.g,n,Imb,true)}break;case 4:jc=clb.$o(b,i);for(ob=0;ob<jc;ob++){n=clb.$o(b,i);rc=C1(q1(clb.$o(b,4)),3);clb.Ul(b.g,n,rc,true)}break;case 5:jc=clb.$o(b,i);for(pb=0;pb<jc;pb++){n=clb.$o(b,i);l=C1(q1(clb.$o(b,2)),1);clb.Ul(b.g,n,l,true)}break;case 6:jc=clb.$o(b,i);for(qb=0;qb<jc;qb++){n=clb.$o(b,i);clb.Ul(b.g,n,1,true)}break;case 7:jc=clb.$o(b,i);for(rb=0;rb<jc;rb++){n=clb.$o(b,i);hb=C1(q1(clb.$o(b,4)),7);clb.Ul(b.g,n,hb,true)}break;case 8:jc=clb.$o(b,i);for(sb=0;sb<jc;sb++){n=clb.$o(b,i);t=clb.$o(b,4);r=gW(Ykb.AX,gmb,6,t,15,1);for(bc=0;bc<t;bc++){s=clb.$o(b,8);r[bc]=s}clb.Ol(b.g,n,r)}break;case 9:jc=clb.$o(b,B);for(tb=0;tb<jc;tb++){D=clb.$o(b,B);rc=clb.$o(b,2)<<7;clb.im(b.g,D,rc,true)}break;case 10:jc=clb.$o(b,B);for(ub=0;ub<jc;ub++){D=clb.$o(b,B);L=clb.$o(b,5);clb.im(b.g,D,L,true)}break;case 11:jc=clb.$o(b,i);for(vb=0;vb<jc;vb++){n=clb.$o(b,i);clb.Ul(b.g,n,knb,true)}break;case 12:jc=clb.$o(b,B);for(xb=0;xb<jc;xb++){D=clb.$o(b,B);M=clb.$o(b,8)<<9;clb.im(b.g,D,M,true)}break;case 13:jc=clb.$o(b,i);for(yb=0;yb<jc;yb++){n=clb.$o(b,i);oc=C1(q1(clb.$o(b,3)),14);clb.Ul(b.g,n,oc,true)}break;case 14:jc=clb.$o(b,i);for(zb=0;zb<jc;zb++){n=clb.$o(b,i);hc=C1(q1(clb.$o(b,5)),17);clb.Ul(b.g,n,hc,true)}break;case 15:case 31:kc+=16;break;case 16:jc=clb.$o(b,i);for(Ab=0;Ab<jc;Ab++){n=clb.$o(b,i);qc=C1(q1(clb.$o(b,3)),22);clb.Ul(b.g,n,qc,true)}break;case 17:jc=clb.$o(b,i);for(Bb=0;Bb<jc;Bb++){n=clb.$o(b,i);clb.Gl(b.g,n,clb.$o(b,4))}break;case 18:jc=clb.$o(b,i);fc=clb.$o(b,4);for(Cb=0;Cb<jc;Cb++){n=clb.$o(b,i);T=clb.$o(b,fc);cc=gW(Ykb.wX,Fnb,6,T,15,1);for(bc=0;bc<T;bc++)cc[bc]=clb.$o(b,7)<<24>>24;clb.Ll(b.g,n,Zkb.u5(alb.ogb(cc,0,(dc=cc.length,alb.lgb(),dc))))}break;case 19:jc=clb.$o(b,i);for(Db=0;Db<jc;Db++){n=clb.$o(b,i);N=C1(q1(clb.$o(b,3)),25);clb.Ul(b.g,n,N,true)}break;case 20:jc=clb.$o(b,B);for(Eb=0;Eb<jc;Eb++){D=clb.$o(b,B);qc=clb.$o(b,3)<<17;clb.im(b.g,D,qc,true)}break;case 21:jc=clb.$o(b,i);for(Fb=0;Fb<jc;Fb++){n=clb.$o(b,i);clb.Vl(b.g,n,clb.$o(b,2)<<4)}break;case 22:jc=clb.$o(b,i);for(Gb=0;Gb<jc;Gb++){n=clb.$o(b,i);clb.Ul(b.g,n,jnb,true)}break;case 23:jc=clb.$o(b,B);for(Ib=0;Ib<jc;Ib++){D=clb.$o(b,B);clb.im(b.g,D,Inb,true)}break;case 24:jc=clb.$o(b,B);for(Jb=0;Jb<jc;Jb++){D=clb.$o(b,B);l=clb.$o(b,2)<<21;clb.im(b.g,D,l,true)}break;case 25:for(Kb=0;Kb<j;Kb++)clb.$o(b,1)==1&&clb.Wl(b.g,Kb,true);break;case 26:jc=clb.$o(b,B);m=gW(Ykb.AX,gmb,6,jc,15,1);for(Lb=0;Lb<jc;Lb++)m[Lb]=clb.$o(b,B);break;case 27:jc=clb.$o(b,i);for(Mb=0;Mb<jc;Mb++){n=clb.$o(b,i);clb.Ul(b.g,n,Bmb,true)}break;case 28:jc=clb.$o(b,B);for(Nb=0;Nb<jc;Nb++)clb.jm(b.g,clb.$o(b,B),32);break;case 29:jc=clb.$o(b,i);for(Ob=0;Ob<jc;Ob++){n=clb.$o(b,i);gb=C1(q1(clb.$o(b,2)),30);clb.Ul(b.g,n,gb,true)}break;case 30:jc=clb.$o(b,i);for(Pb=0;Pb<jc;Pb++){n=clb.$o(b,i);qc=C1(q1(clb.$o(b,7)),32);clb.Ul(b.g,n,qc,true)}break;case 32:jc=clb.$o(b,i);for(Qb=0;Qb<jc;Qb++){n=clb.$o(b,i);sc=C1(q1(clb.$o(b,2)),44);clb.Ul(b.g,n,sc,true)}break;case 33:jc=clb.$o(b,i);for(Rb=0;Rb<jc;Rb++){n=clb.$o(b,i);bb=C1(q1(clb.$o(b,5)),39);clb.Ul(b.g,n,bb,true)}break;case 34:jc=clb.$o(b,i);for(Tb=0;Tb<jc;Tb++){n=clb.$o(b,i);clb.Ul(b.g,n,Lmb,true)}break;case 35:jc=clb.$o(b,B);for(Ub=0;Ub<jc;Ub++){D=clb.$o(b,B);clb.im(b.g,D,Lnb,true)}break;case 36:jc=clb.$o(b,B);for(Vb=0;Vb<jc;Vb++){D=clb.$o(b,B);K=clb.$o(b,2)<<5;clb.im(b.g,D,K,true)}break;case 37:jc=clb.$o(b,B);for(jb=0;jb<jc;jb++){D=clb.$o(b,B);K=clb.$o(b,1)==0?8:16;clb.jm(b.g,D,K)}}}clb.ce(new clb.me(b.g),ac,false);if(m!=null)for(F=m,G=0,H=F.length;G<H;++G){D=F[G];clb.jm(b.g,D,clb.Kk(b.g,D)==2?4:2)}if(e==null&&!b.i&&d.length>b.e+1&&(d[b.e+1]==32||d[b.e+1]==9)){e=d;f=b.e+2}if(e!=null){try{if(e[f]==33||e[f]==35){clb._o(b,e,f+1);R=clb.$o(b,1)==1;S=clb.$o(b,1)==1;pc=2*clb.$o(b,4);C=1<<pc;eb=0;D=0;for(p=1;p<j;p++){if(D<k&&clb.zk(b.g,1,D)==p){eb=clb.zk(b.g,0,D++);db=1}else{eb=0;db=8}clb.Yl(b.g,p,clb.rk(b.g,eb)+db*(clb.$o(b,pc)-(C/2|0)));clb.Zl(b.g,p,clb.sk(b.g,eb)+db*(clb.$o(b,pc)-(C/2|0)));R&&clb.$l(b.g,p,clb.tk(b.g,eb)+db*(clb.$o(b,pc)-(C/2|0)))}if(e[f]==35){ib=0;fb=gW(Ykb.AX,gmb,6,j,15,1);for(q=0;q<j;q++)ib+=fb[q]=clb.Kn(b.g,q);for(n=0;n<j;n++){for(jb=0;jb<fb[n];jb++){hb=clb.yj(b.g,1);clb.Aj(b.g,n,hb,1);clb.Yl(b.g,hb,clb.rk(b.g,n)+(clb.$o(b,pc)-(C/2|0)));clb.Zl(b.g,hb,clb.sk(b.g,n)+(clb.$o(b,pc)-(C/2|0)));R&&clb.$l(b.g,hb,clb.tk(b.g,n)+(clb.$o(b,pc)-(C/2|0)))}}j+=ib;k+=ib}v=R?1.5:(clb.wj(),clb.wj(),clb.vj);u=clb.wk(b.g,j,k,v);if(S){tc=clb.Zo(clb.$o(b,pc),C);wc=tc*clb.ap(clb.$o(b,pc),C);yc=tc*clb.ap(clb.$o(b,pc),C);R&&(Ac=tc*clb.ap(clb.$o(b,pc),C));db=tc/u;for(n=0;n<j;n++){clb.Yl(b.g,n,wc+db*clb.rk(b.g,n));clb.Zl(b.g,n,yc+db*clb.sk(b.g,n));R&&clb.$l(b.g,n,Ac+db*clb.tk(b.g,n))}}else{tc=1.5;db=tc/u;for(n=0;n<j;n++){clb.Yl(b.g,n,db*clb.rk(b.g,n));clb.Zl(b.g,n,db*clb.sk(b.g,n));R&&clb.$l(b.g,n,db*clb.tk(b.g,n))}}}else{R&&!S&&tc==0&&(tc=1.5);if(tc!=0&&b.g.r!=0){u=0;for(D=0;D<b.g.r;D++){Y=clb.rk(b.g,clb.zk(b.g,0,D))-clb.rk(b.g,clb.zk(b.g,1,D));Z=clb.sk(b.g,clb.zk(b.g,0,D))-clb.sk(b.g,clb.zk(b.g,1,D));$=R?clb.tk(b.g,clb.zk(b.g,0,D))-clb.tk(b.g,clb.zk(b.g,1,D)):0;u+=$wnd.Math.sqrt(Y*Y+Z*Z+$*$)}u/=b.g.r;cb=tc/u;for(n=0;n<b.g.q;n++){clb.Yl(b.g,n,clb.rk(b.g,n)*cb+wc);clb.Zl(b.g,n,clb.sk(b.g,n)*cb+yc);R&&clb.$l(b.g,n,clb.tk(b.g,n)*cb+Ac)}}}}catch(a){a=b1(a);if(mX(a,15)){ab=a;Zkb._y(ab,(Zkb.O5(),Zkb.N5),'');'Faulty id-coordinates:'+Zkb.dz(ab,ab.Gb())+' '+Zkb.u5(alb.ogb(d,0,(ec=d.length,alb.lgb(),ec)))+' '+Zkb.u5(alb.ogb(e,0,(dc=e.length,dc)));String.fromCharCode(10);e=null;R=false}else throw c1(a)}}Q=e!=null&&!R;if(Q||b.xb()){clb.Gt(b.g,7);for(D=0;D<b.g.g;D++)clb.Hk(b.g,D)==2&&!clb.Co(b.g,D)&&clb.Ik(b.g,D)==0&&clb.hm(b.g,D)}clb.Mo(b.g,0);if(!Q&&b.xb()){try{b.yb(b.g);Q=true}catch(a){a=b1(a);if(mX(a,15)){ab=a;Zkb._y(ab,(Zkb.O5(),Zkb.N5),'');'2D-coordinate creation failed:'+Zkb.dz(ab,ab.Gb())+' '+Zkb.u5(alb.ogb(d,0,(dc=d.length,alb.lgb(),dc)));String.fromCharCode(10)}else throw c1(a)}}if(Q){clb.Po(b.g);clb.Tt(b.g)}else R||clb.Mo(b.g,0)};clb.hp=function hp(a,b){var c,d,e,f,g,h;if(b.length<=0||b[0]<64)return;clb._o(a,b,0);h=clb.$o(a,4);e=clb.$o(a,1)==1;f=clb.$o(a,1)==1;for(c=0;c<a.g.f;c++){g=clb.$o(a,h);d=e;e&&f&&(d=clb.$o(a,1)==1);clb.Ql(a.g,c,g,d)}};clb.ip=function ip(){};U1(245,1,{},clb.ip);_.xb=function jp(){return false};_.yb=function kp(a){throw c1(new Zkb.rz('Unexpected request to invent 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Check source code logic!'))};_.d=0;_.e=0;_.f=0;_.i=false;Ykb.ZX=w3(245);clb.lp=function lp(a){};clb.mp=function mp(a){clb.lp(this);this.b=a};U1(48,245,{},clb.mp);_.xb=function np(){return this.b};_.yb=function op(a){var b;b=new glb.Rx(this.a);b.g=new dlb.Zdb(78187493520);glb.yx(b,a)};_.a=2;_.b=false;Ykb.$X=w3(48);clb.pp=function pp(a,b,c,d){var 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d,e,f;if(b.c!=null){for(e=0;e<b.c.length;e++){for(f=0;f<clb.wn(a.k,b.a);f++){if(b.c[e]==clb.vn(a.k,b.a,f)){d=clb.xn(a.k,b.a,f);b.d[e]||clb.tp(a,d,b.a,c);a.e[d]>9&&(c.a+='%',c);Zkb.D5(c,a.e[d])}}}}};clb.vp=function vp(a){var b,c,d,e,f,g,h,i,j,k,l,m,n,o,p,q,r,s,t,u,v,w,A,B,C,D,F,G,H,I,J,K,L,M,N,O;M=new dlb.Qi;for(r=new 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b,c,d,e,f;a.a=a.d.d;a.b=gW(Ykb.Z0,Amb,6,a.k.f,16,1);a.c=gW(Ykb.Z0,Amb,6,a.k.g,16,1);a.g=new dlb.Qi;b=clb.zp(a);while(b!=-1){c=a.g.a.length;clb.sp(a,new clb.Vs(b,-1,-1,false,false),c);if(clb.wn(a.k,b)!=0){clb.qp(a,c,false);while(c<a.g.a.length-1){while(clb.Gp(a,dlb.Bi(a.g,c).a))clb.qp(a,c,true);++c}}b=clb.zp(a)}a.q=gW(Ykb.AX,gmb,6,a.k.f,15,1);d=0;for(f=new dlb.Obb(a.g);f.a<f.c.a.length;){e=dlb.Nbb(f);a.q[e.a]=d++}};clb.Bp=function Bp(a,b,c){var d,e,f,g,h,i,j,k,l,m,n;h=false;if(clb.mn(a.k,b)!=0&&clb.wn(a.k,b)==2&&clb.yn(a.k,b,0)==2&&clb.yn(a.k,b,1)==2){for(f=0;f<clb.wn(a.k,b);f++){d=clb.vn(a.k,b,f);n=0;m=gW(Ykb.AX,gmb,6,3,15,1);for(j=0;j<clb.wn(a.k,d);j++){m[n]=clb.vn(a.k,d,j);m[n]!=b&&++n}n==2&&a.q[m[0]]<a.q[m[1]]^m[0]<m[1]&&(h=!h)}}else{k=gW(Ykb.AX,gmb,6,4,15,1);l=gW(Ykb.AX,gmb,6,4,15,1);g=0;if(c!=-1){k[g]=c;l[g++]=8*a.q[c]}if(clb.Kn(a.k,b)!=0){k[g]=Qlb;l[g++]=8*a.q[b]}else 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