@sheetxl/sdk
Version:
SDK - A high-performance, embeddable spreadsheet engine.
4,023 lines • 234 kB
JavaScript
import { FormulaError as I, ScalarType as W, IRange as $ } from "@sheetxl/primitives";
import { CommonUtils as An } from "@sheetxl/utils";
import { F as w, h as Lt, T as zt } from "./DLXAhFMo3NyECo8b.mjs";
/**
* @license @sheetxl/sdk - SDK - A high-performance, embeddable spreadsheet engine. - v0.7.27
*
* (C) 2025-present SheetXL Inc. & Michael T. Ford
* License: The license can be found at https://www.sheetxl.com/license.
*/
const Wt = Object.freeze(Object.defineProperty({ __proto__: null, CUBEKPIMEMBER: function(t, n, e, o) {
}, CUBEMEMBER: function(t, n, e) {
}, CUBEMEMBERPROPERTY: function(t, n, e) {
}, CUBERANKEDMEMBER: function(t, n, e, o) {
}, CUBESET: function(t, n, e, o, i) {
}, CUBESETCOUNT: function(t) {
}, CUBEVALUE: function(t, ...n) {
} }, Symbol.toStringTag, { value: "Module" })), jt = Object.freeze(Object.defineProperty({ __proto__: null, DAVERAGE: function(t, n, e) {
}, DCOUNT: function(t, n, e) {
}, DCOUNTA: function(t, n, e) {
}, DGET: function(t, n, e) {
}, DMAX: function(t, n, e) {
}, DMIN: function(t, n, e) {
}, DPRODUCT: function(t, n, e) {
}, DSTDEV: function(t, n, e) {
}, DSTDEVP: function(t, n, e) {
}, DSUM: function(t, n, e) {
}, DVAR: function(t, n, e) {
}, DVARP: function(t, n, e) {
} }, Symbol.toStringTag, { value: "Module" })), G = { NUMBER: 0, ARRAY: 1, BOOLEAN: 2, STRING: 3, RANGE_REF: 4, CELL_REF: 5, NUMBER_NO_BOOLEAN: 10 }, ln = new class {
constructor() {
this.Types = G, this.type2Number = { number: G.NUMBER, boolean: G.BOOLEAN, string: G.STRING, object: -1 };
}
flattenDeep(t) {
return Array.isArray(t) || (console.log("flattenDeep invalid arg", t), t = [t]), t.reduce((n, e) => Array.isArray(e) ? n.concat(this.flattenDeep(e)) : n.concat(e), []);
}
acceptNumber(t, n = !0, e = !0) {
if (t instanceof I.Known) return t;
let o;
if (typeof t == "number") o = t;
else if (typeof t == "boolean") {
if (!e) throw I.BuiltIn.Value;
o = Number(t);
} else if (typeof t == "string") {
if (t.length === 0) throw I.BuiltIn.Value;
if (o = Number(t), o != o) throw I.BuiltIn.Value;
} else if (t?.isIRange) {
const i = t;
if (n) o = this.acceptNumber(i.getValueAt(0, 0) ?? 0);
else {
if (i.size !== 1) throw I.BuiltIn.Value;
o = this.acceptNumber(i.getValueAt(0, 0) ?? 0);
}
} else {
if (!Array.isArray(t)) throw new I.Value("Unknown type in FormulaHelpers.acceptNumber");
if (n) o = this.acceptNumber(t[0][0]);
else {
if (t[0].length !== 1) throw I.BuiltIn.Value;
o = this.acceptNumber(t[0][0]);
}
}
return o;
}
flattenParams(t, n, e, o, i = null, c = 1) {
if (t.length < c) throw new I.NA(`Argument type ${n} is missing.`);
i == null && (i = n === G.NUMBER ? 0 : n == null ? null : ""), t.forEach((l) => {
const { isCellRef: r, isRangeRef: u, isArray: a } = l;
let f = l.value;
const s = !1, m = !(r || u || a), p = { isLiteral: m, isCellRef: r, isRangeRef: u, isArray: a, isUnion: s };
f?.isIRange && (f = f.getValues(), r && (f = f[0][0])), m ? (l = l.omitted ? i : this.accept(l, n, i), o(l, p)) : r ? o(f, p) : (u || a) && (l = this.flattenDeep(f)).forEach((g) => {
o(g, p);
});
});
}
accept(t, n = null, e = void 0, o = !0, i = !1) {
let c = !1;
if (t && (t.isIRange || t.value?.isIRange)) {
const r = t.value ?? t;
r.size === 1 || n !== G.ARRAY ? t = r.getValueAt(0, 0) : (t = r.getValueAt(), c = !0);
} else t?.value && (c = t.isArray, t = t.value);
if (Array.isArray(n) && (n = n[0]), t == null) {
if (e === void 0) throw new I.NA(`Argument type ${n} is missing.`);
return e;
}
if (n == null) return t;
if (t instanceof I.Known) throw t;
if (n === G.ARRAY) {
if (Array.isArray(t)) return o ? this.flattenDeep(t) : t;
if (Array.isArray(t.value)) for (let r = 0; r < t.value.length; r++)
t.value[r] === null && (t.value[r] = e);
else {
if (i) return o ? [t] : [[t]];
if (t.value === null) return o ? [e] : [[e]];
}
throw I.BuiltIn.Value;
}
c && (t = t[0][0]);
const l = this.type(t);
if (n === G.STRING) t = l === G.BOOLEAN ? t ? "TRUE" : "FALSE" : `${t}`;
else if (n === G.BOOLEAN) {
if (l === G.STRING) throw I.BuiltIn.Value;
l === G.NUMBER && (t = !!t);
} else if (n === G.NUMBER) t = this.acceptNumber(t, !1);
else {
if (n !== G.NUMBER_NO_BOOLEAN) throw I.BuiltIn.Value;
t = this.acceptNumber(t, !1, !1);
}
return t;
}
type(t) {
if (t.isIRange) return G.RANGE_REF;
let n = this.type2Number[typeof t];
return n === -1 && (Array.isArray(t) ? n = G.ARRAY : t.ref && (n = t.ref.from ? G.RANGE_REF : G.CELL_REF)), n;
}
}(), vn = 864e5, Hn = new Date(Date.UTC(1900, 0, 1)), Kt = [void 0, 0, 1, void 0, void 0, void 0, void 0, void 0, void 0, void 0, void 0, void 0, 1, 2, 3, 4, 5, 6, 0], $t = [void 0, [1, 2, 3, 4, 5, 6, 7], [7, 1, 2, 3, 4, 5, 6], [6, 0, 1, 2, 3, 4, 5], void 0, void 0, void 0, void 0, void 0, void 0, void 0, [7, 1, 2, 3, 4, 5, 6], [6, 7, 1, 2, 3, 4, 5], [5, 6, 7, 1, 2, 3, 4], [4, 5, 6, 7, 1, 2, 3], [3, 4, 5, 6, 7, 1, 2], [2, 3, 4, 5, 6, 7, 1], [1, 2, 3, 4, 5, 6, 7]], Pt = [void 0, [6, 0], [0, 1], [1, 2], [2, 3], [3, 4], [4, 5], [5, 6], void 0, void 0, void 0, [0], [1], [2], [3], [4], [5], [6]], Qt = /^\s*(\d\d?)\s*(:\s*\d\d?)?\s*(:\s*\d\d?)?\s*(pm|am)?\s*$/i, Zt = /^\s*((\d\d?)\s*([-/])\s*(\d\d?))([\d:.apm\s]*)$/i, Jt = /^\s*((\d\d?)\s*([-/])\s*(jan\w*|feb\w*|mar\w*|apr\w*|may\w*|jun\w*|jul\w*|aug\w*|sep\w*|oct\w*|nov\w*|dec\w*))([\d:.apm\s]*)$/i, ne = /^\s*((jan\w*|feb\w*|mar\w*|apr\w*|may\w*|jun\w*|jul\w*|aug\w*|sep\w*|oct\w*|nov\w*|dec\w*)\s*([-/])\s*(\d\d?))([\d:.apm\s]*)$/i;
function bn(t) {
let n = t.getTime?.() ?? t;
const e = n > -22038912e5 ? 2 : 1;
return Math.floor((n - Hn.getTime()) / 864e5) + e;
}
function te(t) {
if (t instanceof Date) return { date: t };
let n, e = !0;
return isNaN(t) ? (n = (function(o) {
const i = o.match(Qt);
if (!i) return;
const c = i[2] ? i[2] : ":00", l = i[3] ? i[3] : ":00", r = i[4] ? " " + i[4] : "", u = new Date(Date.parse(`1/1/1900 ${i[1] + c + l + r} UTC`));
let a = /* @__PURE__ */ new Date();
return a = new Date(Date.UTC(a.getFullYear(), a.getMonth(), a.getDate(), a.getHours(), a.getMinutes(), a.getSeconds(), a.getMilliseconds())), new Date(Date.UTC(a.getUTCFullYear(), a.getUTCMonth(), a.getUTCDate(), u.getUTCHours(), u.getUTCMinutes(), u.getUTCSeconds(), u.getUTCMilliseconds()));
})(t), n ? e = !1 : n = (function(o) {
const i = o.match(Zt), c = o.match(Jt), l = o.match(ne);
return i ? o = i[1] + i[3] + (/* @__PURE__ */ new Date()).getFullYear() + i[5] : c ? o = c[1] + c[3] + (/* @__PURE__ */ new Date()).getFullYear() + c[5] : l && (o = l[1] + l[3] + (/* @__PURE__ */ new Date()).getFullYear() + l[5]), new Date(Date.parse(`${o} UTC`));
})(t)) : n = (function(o) {
if (o < 0) throw I.BuiltIn.Value;
return o <= 60 ? new Date(Hn.getTime() + 864e5 * (o - 1)) : new Date(Hn.getTime() + 864e5 * (o - 2));
})(t = Number(t)), { date: n, isDateGiven: e };
}
function q(t) {
return te(t).date;
}
function Gn(t, n) {
return t.getUTCFullYear() === n.getUTCFullYear() && t.getUTCMonth() === n.getUTCMonth() && t.getUTCDate() === n.getUTCDate();
}
function en(t, n, e) {
const o = w.fromOADate(t), i = w.fromOADate(n);
if (e = e.toLowerCase(), t > n) return Number.NaN;
const c = i.getUTCFullYear() - o.getUTCFullYear(), l = i.getUTCMonth() - o.getUTCMonth(), r = i.getUTCDate() - o.getUTCDate();
let u;
switch (e) {
case "y":
return u = l < 0 || l === 0 && r < 0 ? -1 : 0, u + c;
case "m":
return u = r < 0 ? -1 : 0, 12 * c + l + u;
case "d":
return Math.floor(i.getTime() - o.getTime()) / vn;
case "md":
return o.setUTCFullYear(i.getUTCFullYear()), r < 0 ? o.setUTCMonth(i.getUTCMonth() - 1) : o.setUTCMonth(i.getUTCMonth()), Math.floor(i.getTime() - o.getTime()) / vn;
case "ym":
return u = r < 0 ? -1 : 0, (u + 12 * c + l) % 12;
case "yd":
return l < 0 || l === 0 && r < 0 ? o.setUTCFullYear(i.getUTCFullYear() - 1) : o.setUTCFullYear(i.getUTCFullYear()), Math.floor(i.getTime() - o.getTime()) / vn;
}
}
function rn(t, n) {
return Math.trunc(t) - Math.trunc(n);
}
function on(t, n, e = !1) {
const o = w.fromOADate(t), i = w.fromOADate(n);
o.getUTCDate() === 31 && o.setUTCDate(30), !e && o.getUTCDate() < 30 && i.getUTCDate() > 30 ? i.setUTCMonth(i.getUTCMonth() + 1, 1) : i.getUTCDate() === 31 && i.setUTCDate(30);
const c = i.getUTCFullYear() - o.getUTCFullYear();
return 30 * (i.getUTCMonth() - o.getUTCMonth()) + (i.getUTCDate() - o.getUTCDate()) + 12 * c * 30;
}
function zn(t) {
const n = q(t), e = new Date(Date.UTC(n.getFullYear(), n.getMonth(), n.getDate())), o = e.getUTCDay();
e.setUTCDate(e.getUTCDate() + 4 - o);
const i = new Date(Date.UTC(e.getUTCFullYear(), 0, 1));
return Math.ceil(((e.getTime() - i.getTime()) / 864e5 + 1) / 7);
}
function Wn(t, n, e = 1, o = null) {
if (t = q(t), e === "1111111") throw I.BuiltIn.Value;
if (typeof e == "string" && Number(e).toString() !== e) {
if (e.length !== 7) throw I.BuiltIn.Value;
e = e.charAt(6) + e.slice(0, 6);
const l = [];
for (let r = 0; r < e.length; r++) e.charAt(r) === "1" && l.push(r);
e = l;
} else {
if (typeof e != "number") throw I.BuiltIn.Value;
if ((e = Pt[e]) == null) throw I.BuiltIn.Num;
}
const i = [];
o != null && ln.flattenParams([o], G.NUMBER, !1, (l) => {
i.push(q(l));
}), t.setUTCDate(t.getUTCDate() + 1);
let c = 0;
for (; c < n; ) {
let l = !1;
for (let r = 0; r < e.length; r++) if (e[r] === t.getUTCDay()) {
l = !0;
break;
}
if (!l) {
let r = !1;
for (let u = 0; u < i.length; u++) if (Gn(t, i[u])) {
r = !0;
break;
}
r || c++;
}
t.setUTCDate(t.getUTCDate() + 1);
}
return bn(t) - 1;
}
function Vt(t, n, e = 0) {
let o = w.fromOADate(t), i = w.fromOADate(n);
if (o > i) {
const m = o;
o = i, i = m;
const p = t;
t = n, n = p;
}
if ((e = Math.trunc(e)) < 0 || e > 4) throw I.BuiltIn.Value;
let c = o.getUTCDate();
const l = o.getUTCMonth() + 1, r = o.getUTCFullYear();
let u = i.getUTCDate();
const a = i.getUTCMonth() + 1, f = i.getUTCFullYear();
switch (e) {
case 0:
return c === 31 && u === 31 ? (c = 30, u = 30) : c === 31 ? c = 30 : c === 30 && u === 31 && (u = 30), Math.abs(u + 30 * a + 360 * f - (c + 30 * l + 360 * r)) / 360;
case 1:
if (f - r < 2) {
const m = (s = r) !== 1900 && new Date(s, 1, 29).getMonth() !== 1 || r === 1900 ? 365 : 366;
return rn(n, t) / m;
}
{
const m = f - r + 1, p = new Date(f + 1, 0, 1), g = new Date(r, 0, 1), N = (p.getTime() - g.getTime()) / 1e3 / 60 / 60 / 24 / m;
return rn(n, t) / N;
}
case 2:
return Math.abs(rn(n, t) / 360);
case 3:
return Math.abs(rn(n, t) / 365);
case 4:
return Math.abs(u + 30 * a + 360 * f - (c + 30 * l + 360 * r)) / 360;
}
var s;
}
const ee = Object.freeze(Object.defineProperty({ __proto__: null, DATE: function(t, n, e) {
return t < 0 || t >= 1e4 ? Number.NaN : (t < 1900 && (t += 1900), w.formatResults("Short Date"), w.toOADate(new Date(t, n - 1, e)));
}, DATEDIF: en, DATESTRING: function(t) {
return I.BuiltIn.NA;
}, DATEVALUE: function(t) {
try {
const n = w.parseAsDateTime(t);
if (!n) throw I.BuiltIn.Value;
return Math.floor(n);
} catch {
throw I.BuiltIn.Value;
}
}, DAY: function(t) {
return q(t).getUTCDate();
}, DAYS: rn, DAYS360: on, EDATE: function(t, n) {
return t.setUTCMonth(t.getUTCMonth() + n), bn(t);
}, EOMONTH: function(t, n) {
return t.setUTCMonth(t.getUTCMonth() + n + 1, 0), bn(t);
}, HOUR: function(t) {
return q(t).getUTCHours();
}, ISOWEEKNUM: zn, MINUTE: function(t) {
return q(t).getUTCMinutes();
}, MONTH: function(t) {
return q(t).getUTCMonth() + 1;
}, NETWORKDAYS: function(t, n, e = null) {
let o = 1;
if (t > n) {
o = -1;
const l = t;
t = n, n = l;
}
const i = [];
e !== null && ln.flattenParams([e], G.NUMBER, !1, (l) => {
i.push(q(l));
});
let c = 0;
for (; t <= n; ) {
if (t.getUTCDay() !== 0 && t.getUTCDay() !== 6) {
let l = !1;
for (let r = 0; r < i.length; r++) if (Gn(t, i[r])) {
l = !0;
break;
}
l || c++;
}
t.setUTCDate(t.getUTCDate() + 1);
}
return o * c;
}, NETWORKDAYS_INTL: function(t, n, e = 1, o = null) {
let i = 1;
if ((t = q(t)) > (n = q(n))) {
i = -1;
const r = t;
t = n, n = r;
}
if (e === "1111111") return 0;
if (typeof e == "string" && Number(e).toString() !== e) {
if (e.length !== 7) throw I.BuiltIn.Value;
e = e.charAt(6) + e.slice(0, 6);
const r = [];
for (let u = 0; u < e.length; u++) e.charAt(u) === "1" && r.push(u);
e = r;
} else {
if (typeof e != "number") throw I.BuiltIn.Value;
e = Pt[e];
}
const c = [];
o != null && ln.flattenParams([o], G.NUMBER, !1, (r) => {
c.push(q(r));
});
let l = 0;
for (; t <= n; ) {
let r = !1;
for (let u = 0; u < e.length; u++) if (e[u] === t.getUTCDay()) {
r = !0;
break;
}
if (!r) {
let u = !1;
for (let a = 0; a < c.length; a++) if (Gn(t, c[a])) {
u = !0;
break;
}
u || l++;
}
t.setUTCDate(t.getUTCDate() + 1);
}
return i * l;
}, NOW: function() {
const t = /* @__PURE__ */ new Date(), n = bn(Date.UTC(t.getFullYear(), t.getMonth(), t.getDate(), t.getHours(), t.getMinutes(), t.getSeconds(), t.getMilliseconds())) + (3600 * t.getHours() + 60 * t.getMinutes() + t.getSeconds()) / 86400;
return w.markVolatile(), w.formatResults("Short Date Short Time"), n;
}, SECOND: function(t) {
return q(t).getUTCSeconds();
}, TIME: function(t, n, e) {
return t < 0 || t > 32767 || n < 0 || n > 32767 || e < 0 || e > 32767 ? Number.NaN : (w.formatResults("Medium Time"), (3600 * t + 60 * n + e) / 86400);
}, TIMEVALUE: function(t) {
const n = q(t);
return (3600 * n.getUTCHours() + 60 * n.getUTCMinutes() + n.getUTCSeconds()) / 86400;
}, TODAY: function() {
w.formatResults("Short Date");
const t = /* @__PURE__ */ new Date();
return w.toOADate(new Date(t.getFullYear(), t.getMonth(), t.getDate()));
}, WEEKDAY: function(t, n = 1) {
const e = q(t).getUTCDay(), o = $t[n];
if (!o) throw I.BuiltIn.Num;
return o[e];
}, WEEKNUM: function(t, n = 1) {
const e = q(t);
if (n === 21) return zn(t);
const o = Kt[n], i = new Date(Date.UTC(e.getUTCFullYear(), 0, 1)), c = i.getUTCDay() < o ? 1 : 0;
return Math.ceil(((e.getTime() - i.getTime()) / 864e5 + 1) / 7) + c;
}, WORKDAY: function(t, n, e = null) {
return Wn(t, n, 1, e);
}, WORKDAY_INTL: Wn, YEAR: function(t) {
return q(t).getUTCFullYear();
}, YEARFRAC: Vt }, Symbol.toStringTag, { value: "Module" }));
var jn, Rn, Kn = {};
const cn = Lt((jn || (jn = 1, Rn = function(t) {
t.version = "1.0.2";
var n = Math;
function e(M, A) {
for (var R = 0, O = 0; R < M.length; ++R) O = A * O + M[R];
return O;
}
function o(M, A, R, O, v) {
if (A === 0) return R;
if (A === 1) return O;
for (var D = 2 / M, x = O, P = 1; P < A; ++P) x = O * P * D + v * R, R = O, O = x;
return x;
}
function i(M, A, R, O, v) {
return function(D, x) {
if (O) {
if (D === 0) return O == 1 ? -1 / 0 : 1 / 0;
if (D < 0) return NaN;
}
return x === 0 ? M(D) : x === 1 ? A(D) : x < 0 ? NaN : o(D, x |= 0, M(D), A(D), v);
};
}
var c, l, r, u, a, f, s, m, p, g, N, h, d, b = (function() {
var M = 0.636619772, A = [57568490574, -13362590354, 6516196407e-1, -1121442418e-2, 77392.33017, -184.9052456].reverse(), R = [57568490411, 1029532985, 9494680718e-3, 59272.64853, 267.8532712, 1].reverse(), O = [1, -0.001098628627, 2734510407e-14, -2073370639e-15, 2093887211e-16].reverse(), v = [-0.01562499995, 1430488765e-13, -6911147651e-15, 7621095161e-16, -934935152e-16].reverse();
function D(U) {
var _ = 0, B = 0, V = 0, F = U * U;
if (U < 8) _ = (B = e(A, F)) / (V = e(R, F));
else {
var j = U - 0.785398164;
B = e(O, F = 64 / F), V = e(v, F), _ = n.sqrt(M / U) * (n.cos(j) * B - n.sin(j) * V * 8 / U);
}
return _;
}
var x = [72362614232, -7895059235, 2423968531e-1, -2972611439e-3, 15704.4826, -30.16036606].reverse(), P = [144725228442, 2300535178, 1858330474e-2, 99447.43394, 376.9991397, 1].reverse(), z = [1, 183105e-8, -3516396496e-14, 2457520174e-15, -240337019e-15].reverse(), L = [0.04687499995, -2002690873e-13, 8449199096e-15, -88228987e-14, 105787412e-15].reverse();
function X(U) {
var _ = 0, B = 0, V = 0, F = U * U, j = n.abs(U) - 2.356194491;
return Math.abs(U) < 8 ? _ = (B = U * e(x, F)) / (V = e(P, F)) : (B = e(z, F = 64 / F), V = e(L, F), _ = n.sqrt(M / n.abs(U)) * (n.cos(j) * B - n.sin(j) * V * 8 / n.abs(U)), U < 0 && (_ = -_)), _;
}
return function U(_, B) {
if (B = Math.round(B), !isFinite(_)) return isNaN(_) ? _ : 0;
if (B < 0) return (B % 2 ? -1 : 1) * U(_, -B);
if (_ < 0) return (B % 2 ? -1 : 1) * U(-_, B);
if (B === 0) return D(_);
if (B === 1) return X(_);
if (_ === 0) return 0;
var V = 0;
if (_ > B) V = o(_, B, D(_), X(_), -1);
else {
for (var F = !1, j = 0, sn = 0, Z = 1, kn = 0, kt = 2 / _, fn = 2 * n.floor((B + n.floor(n.sqrt(40 * B))) / 2); fn > 0; fn--) kn = fn * kt * Z - j, j = Z, Z = kn, n.abs(Z) > 1e10 && (Z *= 1e-10, j *= 1e-10, V *= 1e-10, sn *= 1e-10), F && (sn += Z), F = !F, fn == B && (V = j);
V /= sn = 2 * sn - Z;
}
return V;
};
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"temperature", !0, !0, 1], ["kilogram", "kg", null, "mass", !0, !0, 1], ["knot", "kn", null, "speed", !1, !0, 0.514444444444444], ["light-year", "ly", null, "length", !1, !0, 9460730472580800], ["litre", "L", ["l", "lt"], "volume", !1, !0, 1e-3], ["lumen", "lm", null, "luminous_flux", !0, !1, 1], ["lux", "lx", null, "illuminance", !0, !1, 1], ["maxwell", "Mx", null, "magnetic_flux", !1, !1, 1e-18], ["measurement ton", "MTON", null, "volume", !1, !0, 1.13267386368], ["meter per hour", "m/h", ["m/hr"], "speed", !1, !0, 27777777777778e-17], ["meter per second", "m/s", ["m/sec"], "speed", !0, !0, 1], ["meter per second squared", "m?s??", null, "acceleration", !0, !1, 1], ["parsec", "pc", ["parsec"], "length", !1, !0, 30856775814671900], ["meter squared per second", "m?/s", null, "kinematic_viscosity", !0, !1, 1], ["metre", "m", null, "length", !0, !0, 1], ["miles per hour", "mph", null, "speed", !1, !0, 0.44704], ["millimetre of mercury", "mmHg", null, "pressure", !1, !1, 133.322], ["minute", "?", null, "angle", !1, !1, 290888208665722e-18], ["minute", "min", ["mn"], "time", !1, !0, 60], ["modern teaspoon", "tspm", null, "volume", !1, !0, 5e-6], ["mole", "mol", null, "amount_of_substance", !0, !1, 1], ["morgen", "Morgen", null, "area", !1, !0, 2500], ["n.u. of action", "?", null, "action", !1, !1, 105457168181818e-48], ["n.u. of mass", "m?", null, "mass", !1, !1, 910938261616162e-45], ["n.u. of speed", "c?", null, "speed", !1, !1, 299792458], ["n.u. of time", "?/(me?c??)", null, "time", !1, !1, 128808866778687e-35], ["nautical mile", "M", ["Nmi"], "length", !1, !0, 1852], ["newton", "N", null, "force", !0, !0, 1], ["œrsted", "Oe ", null, "magnetic_field_intensity", !1, !1, 79.5774715459477], ["ohm", "Ω", null, "electric_resistance", !0, !1, 1], ["ounce mass", "ozm", null, "mass", !1, !0, 0.028349523125], ["pascal", "Pa", null, "pressure", !0, !1, 1], ["pascal second", "Pa?s", null, "dynamic_viscosity", !0, !1, 1], ["pferdestärke", "PS", null, "power", !1, !0, 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!0, 4.184], ["ton", "ton", null, "mass", !1, !0, 907.18474], ["tonne", "t", null, "mass", !1, !1, 1e3], ["U.K. pint", "uk_pt", null, "volume", !1, !0, 56826125e-11], ["U.S. bushel", "bushel", null, "volume", !1, !0, 0.03523907], ["U.S. oil barrel", "barrel", null, "volume", !1, !0, 0.158987295], ["U.S. pint", "pt", ["us_pt"], "volume", !1, !0, 473176473e-12], ["U.S. survey mile", "survey_mi", null, "length", !1, !0, 1609.347219], ["U.S. survey/statute acre", "us_acre", null, "area", !1, !0, 4046.87261], ["volt", "V", null, "voltage", !0, !1, 1], ["watt", "W", null, "power", !0, !0, 1], ["watt-hour", "Wh", ["wh"], "energy", !1, !0, 3600], ["weber", "Wb", null, "magnetic_flux", !0, !1, 1], ["yard", "yd", null, "length", !1, !0, 0.9144], ["year", "yr", null, "time", !1, !0, 31557600]], i = { Yi: ["yobi", 80, 12089258196146292e8, "Yi", "yotta"], Zi: ["zebi", 70, 11805916207174113e5, "Zi", "zetta"], Ei: ["exbi", 60, 1152921504606847e3, "Ei", "exa"], Pi: ["pebi", 50, 1125899906842624, "Pi", 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var a, f = n.mean(r), s = n.mean(u), m = r.length, p = new Array(m);
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return r = n.rank(r), u = n.rank(u), n.corrcoeff(r, u);
}, n.stanMoment = function(r, u) {
for (var a = n.mean(r), f = n.stdev(r), s = r.length, m = 0, p = 0; p < s; p++) m += e.pow((r[p] - a) / f, u);
return m / r.length;
}, n.skewness = function(r) {
return n.stanMoment(r, 3);
}, n.kurtosis = function(r) {
return n.stanMoment(r, 4) - 3;
};
var l = n.prototype;
(function(r) {
for (var u = 0; u < r.length; u++) (function(a) {
l[a] = function(f, s) {
var m = [], p = 0, g = this;
if (o(f) && (s = f, f = !1), s) return setTimeout(function() {
s.call(g, l[a].call(g, f));
}), this;
if (this.length > 1) {
for (g = f === !0 ? this : this.transpose(); p < g.length; p++) m[p] = n[a](g[p]);
return m;
}
return n[a](this[0], f);
};
})(r[u]);
})("cumsum cumprod".split(" ")), (function(r) {
for (var u = 0; u < r.length; u++) (function(a) {
l[a] = function(f, s) {
var m = [], p = 0, g = this;
if (o(f) && (s = f, f = !1), s) return setTimeout(function() {
s.call(g, l[a].call(g, f));
}), this;
if (this.length > 1) {
for (a !== "sumrow" && (g = f === !0 ? this : this.transpose()); p < g.length; p++) m[p] = n[a](g[p]);
return f === !0 ? n[a](n.utils.toVector(m)) : m;
}
return n[a](this[0], f);
};
})(r[u]);
})("sum sumsqrd sumsqerr sumrow product min max unique mean meansqerr geomean median diff rank mode range variance deviation stdev meandev meddev coeffvar quartiles histogram skewness kurtosis".split(" ")), (function(r) {
for (var u = 0; u < r.length; u++) (function(a) {
l[a] = function() {
var f, s = [], m = 0, p = this, g = Array.prototype.slice.call(arguments);
if (o(g[g.length - 1])) {
f = g[g.length - 1];
var N = g.slice(0, g.length - 1);
return setTimeout(function() {
f.call(p, l[a].apply(p, N));
}), this;
}
f = void 0;
var h = function(d) {
return n[a].apply(p, [d].concat(g));
};
if (this.length > 1) {
for (p = p.transpose(); m < p.length; m++) s[m] = h(p[m]);
return s;
}
return h(this[0]);
};
})(r[u]);
})("quantiles percentileOfScore".split(" "));
})(t, Math), (function(n, e) {
n.gammaln = function(o) {
var i, c, l, r = 0, u = [76.18009172947146, -86.50532032941678, 24.01409824083091, -1.231739572450155, 0.001208650973866179, -5395239384953e-18], a = 1.000000000190015;
for (l = (c = i = o) + 5.5, l -= (i + 0.5) * e.log(l); r < 6; r++) a += u[r] / ++c;
return e.log(2.5066282746310007 * a / i) - l;
}, n.loggam = function(o) {
var i, c, l, r, u, a, f, s = [0.08333333333333333, -0.002777777777777778, 7936507936507937e-19, -5952380952380952e-19, 8417508417508418e-19, -0.001917526917526918, 0.00641025641025641, -0.02955065359477124, 0.1796443723688307, -1.3924322169059];
if (i = o, f = 0, o == 1 || o == 2) return 0;
for (o <= 7 && (i = o + (f = e.floor(7 - o))), c = 1 / (i * i), l = 2 * e.PI, u = s[9], a = 8; a >= 0; a--) u *= c, u += s[a];
if (r = u / i + 0.5 * e.log(l) + (i - 0.5) * e.log(i) - i, o <= 7) for (a = 1; a <= f; a++) r -= e.log(i - 1), i -= 1;
return r;
}, n.gammafn = function(o) {
var i, c, l, r, u = [-1.716185138865495, 24.76565080557592, -379.80425647094563, 629.3311553128184, 866.9662027904133, -31451.272968848367, -36144.413418691176, 66456.14382024054], a = [-30.8402300119739, 315.35062697960416, -1015.1563674902192, -3107.771671572311, 22538.11842098015, 4755.846277527881, -134659.9598649693, -115132.2596755535], f = !1, s = 0, m = 0, p = 0, g = o;
if (o > 171.6243769536076) return 1 / 0;
if (g <= 0) {
if (!(r = g % 1 + 36e-17)) return 1 / 0;
f = (1 & g ? -1 : 1) * e.PI / e.sin(e.PI * r), g = 1 - g;
}
for (l = g, c = g < 1 ? g++ : (g -= s = (0 | g) - 1) - 1, i = 0; i < 8; ++i) p = (p + u[i]) * c, m = m * c + a[i];
if (r = p / m + 1, l < g) r /= l;
else if (l > g) for (i = 0; i < s; ++i) r *= g, g++;
return f && (r = f / r), r;
}, n.gammap = function(o, i) {
return n.lowRegGamma(o, i) * n.gammafn(o);
}, n.lowRegGamma = function(o, i) {
var c, l = n.gammaln(o), r = o, u = 1 / o, a = u, f = i + 1 - o, s = 1 / 1e-30, m = 1 / f, p = m, g = 1, N = -~(8.5 * e.log(o >= 1 ? o : 1 / o) + 0.4 * o + 17);
if (i < 0 || o <= 0) return NaN;
if (i < o + 1) {
for (; g <= N; g++) u += a *= i / ++r;
return u * e.exp(-i + o * e.log(i) - l);
}
for (; g <= N; g++) p *= (m = 1 / (m = (c = -g * (g - o)) * m + (f += 2))) * (s = f + c / s);
return 1 - p * e.exp(-i + o * e.log(i) - l);
}, n.factorialln = function(o) {
return o < 0 ? NaN : n.gammaln(o + 1);
}, n.factorial = function(o) {
return o < 0 ? NaN : n.gammafn(o + 1);
}, n.combination = function(o, i) {
return o > 170 || i > 170 ? e.exp(n.combinationln(o, i)) : n.factorial(o) / n.factorial(i) / n.factorial(o - i);
}, n.combinationln = function(o, i) {
return n.factorialln(o) - n.factorialln(i) - n.factorialln(o - i);
}, n.permutation = function(o, i) {
return n.factorial(o) / n.factorial(o - i);
}, n.betafn = function(o, i) {
if (!(o <= 0 || i <= 0)) return o + i > 170 ? e.exp(n.betaln(o, i)) : n.gammafn(o) * n.gammafn(i) / n.gammafn(o + i);
}, n.betaln = function(o, i) {
return n.gammaln(o) + n.gammaln(i) - n.gammaln(o + i);
}, n.betacf = function(o, i, c) {
var l, r, u, a, f = 1e-30, s = 1, m = i + c, p = i + 1, g = i - 1, N = 1, h = 1 - m * o / p;
for (e.abs(h) < f && (h = f), a = h = 1 / h; s <= 100 && (h = 1 + (r = s * (c - s) * o / ((g + (l = 2 * s)) * (i + l))) * h, e.abs(h) < f && (h = f), N = 1 + r / N, e.abs(N) < f && (N = f), a *= (h = 1 / h) * N, h = 1 + (r = -(i + s) * (m + s) * o / ((i + l) * (p + l))) * h, e.abs(h) < f && (h = f), N = 1 + r / N, e.abs(N) < f && (N = f), a *= u = (h = 1 / h) * N, !(e.abs(u - 1) < 3e-7)); s++) ;
return a;
}, n.gammapinv = function(o, i) {
var c, l, r, u, a, f, s = 0, m = i - 1, p = 1e-8, g = n.gammaln(i);
if (o >= 1) return e.max(100, i + 100 * e.sqrt(i));
if (o <= 0) return 0;
for (i > 1 ? (a = e.log(m), f = e.exp(m * (a - 1) - g), u = o < 0.5 ? o : 1 - o, c = (2.30753 + 0.27061 * (l = e.sqrt(-2 * e.log(u)))) / (1 + l * (0.99229 + 0.04481 * l)) - l, o < 0.5 && (c = -c), c = e.max(1e-3, i * e.pow(1 - 1 / (9 * i) - c / (3 * e.sqrt(i)), 3))) : c = o < (l = 1 - i * (0.253 + 0.12 * i)) ? e.pow(o / l, 1 / i) : 1 - e.log(1 - (o - l) / (1 - l)); s < 12; s++) {
if (c <= 0) return 0;
if ((c -= l = (r = (n.lowRegGamma(i, c) - o) / (l = i > 1 ? f * e.exp(-(c - m) + m * (e.log(c) - a)) : e.exp(-c + m * e.log(c) - g))) / (1 - 0.5 * e.min(1, r * ((i - 1) / c - 1)))) <= 0 && (c = 0.5 * (c + l)), e.abs(l) < p * c) break;
}
return c;
}, n.erf = function(o) {
var i, c, l, r, u = [-1.3026537197817094, 0.6419697923564902, 0.019476473204185836, -0.00956151478680863, -946595344482036e-18, 366839497852761e-18, 42523324806907e-18, -20278578112534e-18, -1624290004647e-18, 130365583558e-17, 15626441722e-18, -85238095915e-18, 6529054439e-18, 5059343495e-18, -991364156e-18, -227365122e-18, 96467911e-18, 2394038e-18, -6886027e-18, 894487e-18, 313092e-18, -112708e-18, 381e-18, 7106e-18, -1523e-18, -94e-18, 121e-18, -28e-18], a = u.length - 1, f = !1, s = 0, m = 0;
for (o < 0 && (o = -o, f = !0), c = 4 * (i = 2 / (2 + o)) - 2; a > 0; a--) l = s, s = c * s - m + u[a], m = l;
return r = i * e.exp(-o * o + 0.5 * (u[0] + c * s) - m), f ? r - 1 : 1 - r;
}, n.erfc = function(o) {
return 1 - n.erf(o);
}, n.erfcinv = function(o) {
var i, c, l, r, u = 0;
if (o >= 2) return -100;
if (o <= 0) return 100;
for (r = o < 1 ? o : 2 - o, i = -0.70711 * ((2.30753 + 0.27061 * (l = e.sqrt(-2 * e.log(r / 2)))) / (1 + l * (0.99229 + 0.04481 * l)) - l); u < 2; u++) i += (c = n.erfc(i) - r) / (1.1283791670955126 * e.exp(-i * i) - i * c);
return o < 1 ? i : -i;
}, n.ibetainv = function(o, i, c) {
var l, r, u, a, f, s, m, p, g, N, h = 1e-8, d = i - 1, b = c - 1, E = 0;
if (o <= 0) return 0;
if (o >= 1) return 1;
for (i >= 1 && c >= 1 ? (u = o < 0.5 ? o : 1 - o, s = (2.30753 + 0.27061 * (a = e.sqrt(-2 * e.log(u)))) / (1 + a * (0.99229 + 0.04481 * a)) - a, o < 0.5 && (s = -s), m = (s * s - 3) / 6, p = 2 / (1 / (2 * i - 1) + 1 / (2 * c - 1)), g = s * e.sqrt(m + p) / p - (1 / (2 * c - 1) - 1 / (2 * i - 1)) * (m + 5 / 6 - 2 / (3 * p)), s = i / (i + c * e.exp(2 * g))) : (l = e.log(i / (i + c)), r = e.log(c / (i + c)), s = o < (a = e.exp(i * l) / i) / (g = a + (f = e.exp(c * r) / c)) ? e.pow(i * g * o, 1 / i) : 1 - e.pow(c * g * (1 - o), 1 / c)), N = -n.gammaln(i) - n.gammaln(c) + n.gammaln(i + c); E < 10; E++) {
if (s === 0 || s === 1) return s;
if ((s -= a = (f = (n.ibeta(s, i, c) - o) / (a = e.exp(d * e.log(s) + b * e.log(1 - s) + N))) / (1 - 0.5 * e.min(1, f * (d / s - b / (1 - s))))) <= 0 && (s = 0.5 * (s + a)), s >= 1 && (s = 0.5 * (s + a + 1)), e.abs(a) < h * s && E > 0) break;
}
return s;
}, n.ibeta = function(o, i, c) {
var l = o === 0 || o === 1 ? 0 : e.exp(n.gammaln(i + c) - n.gammaln(i) - n.gammaln(c) + i * e.log(o) + c * e.log(1 - o));
return !(o < 0 || o > 1) && (o < (i + 1) / (i + c + 2) ? l * n.betacf(o, i, c) / i : 1 - l * n.betacf(1 - o, c, i) / c);
}, n.randn = function(o, i) {
var c, l, r, u, a;
if (i || (i = o), o) return n.create(o, i, function() {
return n.randn();
});
do
c = n._random_fn(), l = 1.7156 * (n._random_fn() - 0.5), a = (r = c - 0.449871) * r + (u = e.abs(l) + 0.386595) * (0.196 * u - 0.25472 * r);
while (a > 0.27597 && (a > 0.27846 || l * l > -4 * e.log(c) * c * c));
return l / c;
}, n.randg = function(o, i, c) {
var l, r, u, a, f, s, m = o;
if (c || (c = i), o || (o = 1), i) return (s = n.zeros(i, c)).alter(function() {
return n.randg(o);
}), s;
o < 1 && (o += 1), l = o - 1 / 3, r = 1 / e.sqrt(9 * l);
do {
do
a = 1 + r * (f = n.randn());
while (a <= 0);
a *= a * a, u = n._random_fn();
} while (u > 1 - 0.331 * e.pow(f, 4) && e.log(u) > 0.5 * f * f + l * (1 - a + e.log(a)));
if (o == m) return l * a;
do
u = n._random_fn();
while (u === 0);
return e.pow(u, 1 / m) * l * a;
}, (function(o) {
for (var i = 0; i < o.length; i++) (function(c) {
n.fn[c] = function() {
return n(n.map(this, function(l) {
return n[c](l);
}));
};
})(o[i]);
})("gammaln gammafn factorial factorialln".split(" ")), (function(o) {
for (var i = 0; i < o.length; i++) (function(c) {
n.fn[c] = function() {
return n(n[c].apply(null, arguments));
};
})(o[i]);
})("randn".split(" "));
})(t, Math), (function(n, e) {
function o(r, u, a, f) {
for (var s, m = 0, p = 1, g = 1, N = 1, h = 0, d = 0; e.abs((g - d) / g) > f; ) d = g, p = N + (s = -(u + h) * (u + a + h) * r / (u + 2 * h) / (u + 2 * h + 1)) * p, g = (m = g + s * m) + (s = (h += 1) * (a - h) * r / (u + 2 * h - 1) / (u + 2 * h)) * g, m /= N = p + s * N, p /= N, g /= N, N = 1;
return g / u;
}
function i(r) {
return r / e.abs(r);
}
function c(r, u, a) {
var f = 12, s = 6, m = -30, p = -50, g = 60, N = 8, h = 3, d = 2, b = 3, E = [0.9815606342467192, 0.9041172563704749, 0.7699026741943047, 0.5873179542866175, 0.3678314989981802, 0.1252334085114689], T = [0.04717533638651183, 0.10693932599531843, 0.16007832854334622, 0.20316742672306592, 0.2334925365383548, 0.24914704581340277], S = 0.5 * r;
if (S >= N) return 1;
var M, A = 2 * n.normal.cdf(S, 0, 1, 1, 0) - 1;
A = A >= e.exp(p / a) ? e.pow(A, a) : 0;
for (var R = S, O = (N - S) / (M = r > h ? d : b), v = R + O, D = 0, x = a - 1, P = 1; P <= M; P++) {
for (var z = 0, L = 0.5 * (v + R), X = 0.5 * (v - R), U = 1; U <= f; U++) {
var _, B = L + X * (s < U ? E[(_ = f - U + 1) - 1] : -E[(_ = U) - 1]), V = B * B;
if (V > g) break;
var F = 2 * n.normal.cdf(B, 0, 1, 1, 0) * 0.5 - 2 * n.normal.cdf(B, r, 1, 1, 0) * 0.5;
F >= e.exp(m / x) && (z += F = T[_ - 1] * e.exp(-0.5 * V) * e.pow(F, x));
}
D += z *= 2 * X * a / e.sqrt(2 * e.PI), R = v, v += O;
}
return (A += D) <= e.exp(m / u) ? 0 : (A = e.pow(A, u)) >= 1 ? 1 : A;
}
function l(r, u, a) {
var f = 0.322232421088, s = 0.099348462606, m = -1, p = 0.588581570495, g = -0.342242088547, N = 0.531103462366, h = -0.204231210125, d = 0.10353775285, b = -453642210148e-16, E = 0.0038560700634, T = 0.8832, S = 0.2368, M = 1.208, A = 1.4142, R = 120, O = 0.5 - 0.5 * r, v = e.sqrt(e.log(1 / (O * O))), D = v + ((((v * b + h) * v + g) * v + m) * v + f) / ((((v * E + d) * v + N) * v + p) * v + s);
a < R && (D += (D * D * D + D) / a / 4);
var x = T - S * D;
return a < R && (x += -1.214 / a + M * D / a), D * (x * e.log(u - 1) + A);
}
(function(r) {
for (var u = 0; u < r.length; u++) (function(a) {
n[a] = function f(s, m, p) {
return this instanceof f ? (this._a = s, this._b = m, this._c = p, this) : new f(s, m, p);
}, n.fn[a] = function(f, s, m) {
var p = n[a](f, s, m);
return p.data = this, p;
}, n[a].prototype.sample = function(f) {
var s = this._a, m = this._b, p = this._c;
return f ? n.alter(f, function() {
return n[a].sample(s, m, p);
}) : n[a].sample(s, m, p);
}, (function(f) {
for (var s = 0; s < f.length; s++) (function(m) {
n[a].prototype[m] = function(p) {
var g = this._a, N = this._b, h = this._c;
return p || p === 0 || (p = this.data), typeof p != "number" ? n.fn.map.call(p, function(d) {
return n[a][m](d, g, N, h);
}) : n[a][m](p, g, N, h);
};
})(f[s]);
})("pdf cdf inv".split(" ")), (function(f) {
for (var s = 0; s < f.length; s++) (function(m) {
n[a].prototype[m] = function() {
return n[a][m](this._a, this._b, this._c);
};
})(f[s]);
})("mean median mode variance".split(" "));
})(r[u]);
})("beta centralF cauchy chisquare exponential gamma invgamma kumaraswamy laplace lognormal noncentralt normal pareto studentt weibull uniform binomial negbin hypgeom poisson triangular tukey arcsine".split(" ")), n.extend(n.beta, { pdf: function(r, u, a) {
return r > 1 || r < 0 ? 0 : u == 1 && a == 1 ? 1 : u < 512 && a < 512 ? e.pow(r, u - 1) * e.pow(1 - r, a - 1) / n.betafn(u, a) : e.exp((u - 1) * e.log(r) + (a - 1) * e.log(1 - r) - n.betaln(u, a));
}, cdf: function(r, u, a) {
return r > 1 || r < 0 ? 1 * (r > 1) : n.ibeta(r, u, a);
}, inv: function(r, u, a) {
return n.ibetainv(r, u, a);
}, mean: function(r, u) {
return r / (r + u);
}, median: function(r, u) {
return n.ibetainv(0.5, r, u);
}, mode: function(r, u) {
return (r - 1) / (r + u - 2);
}, sample: function(r, u) {
var a = n.randg(r);
return a / (a + n.randg(u));
}, variance: function(r, u) {
return r * u / (e.pow(r + u, 2) * (r + u + 1));
} }), n.extend(n.centralF, { pdf: function(r, u, a) {
var f;
return r < 0 ? 0 : u <= 2 ? r === 0 && u < 2 ? 1 / 0 : r === 0 && u === 2 ? 1 : 1 / n.betafn(u / 2, a / 2) * e.pow(u / a, u / 2) * e.pow(r, u / 2 - 1) * e.pow(1 + u / a * r, -(u + a) / 2) : (f = u * r / (a + r * u), u * (a / (a + r * u)) / 2 * n.binomial.pdf((u - 2) / 2, (u + a - 2) / 2, f));
}, cdf: function(r, u, a) {
return r < 0 ? 0 : n.ibeta(u * r / (u * r + a), u / 2, a / 2);
}, inv: function(r, u, a) {
return a / (u * (1 / n.ibetainv(r, u / 2, a / 2) - 1));
}, mean: function(r, u) {
return u > 2 ? u / (u - 2) : void 0;
}, mode: function(r, u) {
return r > 2 ? u * (r - 2) / (r * (u + 2)) : void 0;
}, sample: function(r, u) {
return 2 * n.randg(r / 2) / r / (2 * n.randg(u / 2) / u);
}, variance: function(r, u) {
if (!(u <= 4)) return 2 * u * u * (r + u - 2) / (r * (u - 2) * (u - 2) * (u - 4));
} }), n.extend(n.cauchy, { pdf: function(r, u, a) {
return a < 0 ? 0 : a / (e.pow(r - u, 2) + e.pow(a, 2)) / e.PI;
}, cdf: function(r, u, a) {
return e.atan((r - u) / a) / e.PI + 0.5;
}, inv: function(r, u, a) {
return u + a * e.tan(e.PI * (r - 0.5));
}, median: function(r) {
return r;
}, mode: function(r) {
return r;
}, sample: function(r, u) {
return n.randn() * e.sqrt(1 / (2 * n.randg(0.5))) * u + r;
} }), n.extend(n.chisquare, { pdf: function(r, u) {
return r < 0 ? 0 : r === 0 && u === 2 ? 0.5 : e.exp((u / 2 - 1) * e.log(r) - r / 2 - u / 2 * e.log(2) - n.gammaln(u / 2));
}, cdf: function(r, u) {
return r < 0 ? 0 : n.lowRegGamma(u / 2, r / 2);
}, inv: function(r, u) {
return 2 * n.gammapinv(r, 0.5 * u);
}, mean: function(r) {
return r;
}, median: function(r) {
return r * e.pow(1 - 2 / (9 * r), 3);
}, mode: function(r) {
return r - 2 > 0 ? r - 2 : 0;
}, sample: function(r) {
return 2 * n.randg(r / 2);
}, variance: function(r) {
return 2 * r;
} }), n.extend(n.exponential, { pdf: function(r, u) {
return r < 0 ? 0 : u * e.exp(-u * r);
}, cdf: function(r, u) {
return r < 0 ? 0 : 1 - e.exp(-u * r);
}, inv: function(r, u) {
return -e.log(1 - r) / u;
}, mean: function(r) {
return 1 / r;
}, median: function(r) {
return 1 / r * e.log(2);
}, mode: function() {
return 0;
}, sample: function(r) {
return -1 / r * e.log(n._random_fn());
}, variance: function(r) {
return e.pow(r, -2);
} }), n.extend(n.gamma, { pdf: function(r, u, a) {
return r < 0 ? 0 : r === 0 && u === 1 ? 1 / a : e.exp((u - 1) * e.log(r) - r / a - n.gammaln(u) - u * e.log(a));
}, cdf: function(r, u, a) {
return r < 0 ? 0 : n.lowRegGamma(u, r / a);
}, inv: function(r, u, a) {
return n.gammapinv(r, u) * a;
}, mean: function(r, u) {
return r * u;
}, mode: function(r, u) {
if (r > 1) return (r - 1) * u;
}, sample: function(r, u) {
return n.randg(r) * u;
}, variance: function(r, u) {
return r * u * u;
} }), n.extend(n.invgamma, { pdf: function(r, u, a) {
return r <= 0 ? 0 : e.exp(-(u + 1) * e.log(r) - a / r - n.gammaln(u) + u * e.log(a));
}, cdf: function(r, u, a) {
return r <= 0 ? 0 : 1 - n.lowRegGamma(u, a / r);
}, inv: function(r, u, a) {
return a / n.gammapinv(1 - r, u);
}, mean: function(r, u) {
return r > 1 ? u / (r - 1) : void 0;
}, mode: function(r, u) {
return u / (r + 1);
}, sample: function(r, u) {
return u / n.randg(r);
}, variance: function(r, u) {
if (!(r <= 2)) return u * u / ((r - 1) * (r - 1) * (r - 2));
} }), n.extend(n.kumaraswamy, { pdf: function(r, u, a) {
return r === 0 && u === 1 ? a : r === 1 && a === 1 ? u : e.exp(e.log(u) + e.log(a) + (u - 1) * e.log(r) + (a - 1) * e.log(1 - e.pow(r, u)));
}, cdf: function(r, u, a) {
return r < 0 ? 0 : r > 1 ? 1 : 1 - e.pow(1 - e.pow(r, u), a);
}, inv: function(r, u, a) {
return e.pow(1 - e.pow(1 - r, 1 / a), 1 / u);
}, mean: function(r, u) {
return u * n.gammafn(1 + 1 / r) * n.gammafn(u) / n.gammafn(1 + 1 / r + u);
}, median: function(r, u) {
return e.pow(1 - e.pow(2, -1 / u), 1 / r);
}, mode: function(r, u) {
if (r >= 1 && u >= 1 && r !== 1 && u !== 1) return e.pow((r - 1) / (r * u - 1), 1 / r);
}, variance: function() {
throw new Error("variance not yet implemented");
} }), n.extend(n.lognormal, { pdf: function(r, u, a) {
return r <= 0 ? 0 : e.exp(-e.log(r) - 0.5 * e.log(2 * e.PI) - e.log(a) - e.pow(e.log(r) - u, 2) / (2 * a * a));
}, cdf: function(r, u, a) {
return r < 0 ? 0 : 0.5 + 0.5 * n.erf((e.log(r) - u) / e.sqrt(2 * a * a));
}, inv: function(r, u, a) {
return e.exp(-1.4142135623730951 * a * n.erfcinv(2 * r) + u);
}, mean: function(r, u) {
return e.exp(r + u * u / 2);
}, median: function(r) {
return e.exp(r);
}, mode: function(r, u) {
return e.exp(r - u * u);
}, sample: function(r, u) {
return e.exp(n.randn() * u + r);
}, variance: function(r, u) {
return (e.exp(u * u) - 1) * e.exp(2 * r + u * u);
} }), n.extend(n.noncentralt, { pdf: function(r, u, a) {
var f = 1e-14;
return e.abs(a) < f ? n.studentt.pdf(r, u) : e.abs(r) < f ? e.exp(n.gammaln((u + 1) / 2) - a * a / 2 - 0.5 * e.log(e.PI * u) - n.gammaln(u / 2)) : u / r * (n.noncentralt.cdf(r * e.sqrt(1 + 2 / u), u + 2, a) - n.noncentralt.cdf(r, u, a));
}, cdf: function(r, u, a) {
var f = 1e-14, s = 200;
if (e.abs(a) < f) return n.studentt.cdf(r, u);
var m = !1;
r < 0 && (m = !0, a = -a);
for (var p = n.normal.cdf(-a, 0, 1), g = f + 1, N = g, h = r * r / (r * r + u), d = 0, b = e.exp(-a * a / 2), E = e.exp(-a * a / 2 - 0.5 * e.log(2) - n.gammaln(1.5)) * a; d < s || N > f || g > f; ) N = g, d > 0 && (b *= a * a / (2 * d), E *= a * a / (2 * (d + 0.5))), p += 0.5 * (g = b * n.beta.cdf(h, d + 0.5, u / 2) + E * n.beta.cdf(h, d + 1, u / 2)), d++;
return m ? 1 - p : p;
} }), n.extend(n.normal, { pdf: function(r, u, a) {
return e.exp(-0.5 * e.log(2 * e.PI) - e.log(a) - e.pow(r - u, 2) / (2 * a * a));
}, cdf: function(r, u, a) {
return 0.5 * (1 + n.erf((r - u) / e.sqrt(2 * a * a)));
}, inv: function(r, u, a) {
return -1.4142135623730951 * a * n.erfcinv(2 * r) + u;
}, mean: function(r) {
return r;
}, median: function(r) {
return r;
}, mode: function(r) {
return r;
}, sample: function(r, u) {
return n.randn() * u + r;
}, variance: function(r, u) {
return u * u;
} }), n.extend(n.pareto, { pdf: function(r, u, a) {
return r < u ? 0 : a * e.pow(u, a) / e.pow(r, a + 1);
}, cdf: function(r, u, a) {
return r < u ? 0 : 1 - e.pow(u / r, a);
}, inv: function(r, u, a) {
return u / e.pow(1 - r, 1 / a);
}, mean: function(r, u) {
if (!(u <= 1)) return u * e.pow(r, u) / (u - 1);
}, median: function(r, u) {
return r * (u * e.SQRT2);
}, mode: function(r) {
return r;
}, variance: function(r, u) {
if (!(u <= 2)) return r * r * u / (e.pow(u - 1, 2) * (u - 2));
} }), n.extend(n.studentt, { pdf: function(r, u) {
return u = u > 1e100 ? 1e100 : u, 1 / (e.sqrt(u) * n.betafn(0.5, u / 2)) * e.pow(1 + r * r / u, -(u + 1) / 2);
}, cdf: function(r, u) {
var a = u / 2;
return n.ibeta((r + e.sqrt(r * r + u)) / (2 * e.sqrt(r * r + u)), a, a);
}, inv: function(r, u) {
var a = n.ibetainv(2 * e.min(r, 1 - r), 0.5 * u, 0.5);
return a = e.sqrt(u * (1 - a) / a), r > 0.5 ? a : -a;
}, mean: function(r) {
return r > 1 ? 0 : void 0;
}, median: function() {
return 0;
}, mode: function() {
return 0;
}, sample: function(r) {
return n.randn() * e.sqrt(r / (2 * n.randg(r / 2)));
}, variance: function(r) {
return r > 2 ? r / (r - 2) : r > 1 ? 1 / 0 : void 0;
} }), n.extend(n.weibull, { pdf: function(r, u, a) {
return r < 0 || u < 0 || a < 0 ? 0 : a / u * e.pow(r / u, a - 1) * e.exp(-e.pow(r / u, a));
}, cdf: function(r, u, a) {
return r < 0 ? 0 : 1 - e.exp(-e.pow(r / u, a));
}, inv: function(r, u, a) {
return u * e.pow(-e.log(1 - r), 1 / a);
}, mean: function(r, u) {
return r * n.gammafn(1 + 1 / u);
}, median: function(r, u) {
return r * e.pow(e.log(2), 1 / u);
}, mode: function(r, u) {
return u <= 1 ? 0 : r * e.pow((u - 1) / u, 1 / u);
}, sample: function(r, u) {
return r * e.pow(-e.log(n._random_fn()), 1 / u);
}, variance: function(r, u) {
return r * r * n.gammafn(1 + 2 / u) - e.pow(n.weibull.mean(r, u), 2);
} }), n.extend(n.uniform, { pdf: function(r, u, a) {
return r < u || r > a ? 0 : 1 / (a - u);
}, cdf: function(r, u, a) {
return r < u ? 0 : r < a ? (r - u) / (a - u) : 1;
}, inv: function(r, u, a) {
return u + r * (a - u);
}, mean: function(r, u) {
return 0.5 * (r + u);
}, median: function(r, u) {
return n.mean(r, u);
}, mode: function() {
throw new Error("mode is not yet implemented");
}, sample: function(r, u) {
return r / 2 + u / 2 + (u / 2 - r / 2) * (2 * n._random_fn() - 1);
}, variance: function(r, u) {
return e.pow(u - r, 2) / 12;
} }), n.extend(n.binomial, { pdf: function(r, u, a) {
return a === 0 || a === 1 ? u * a === r ? 1 : 0 : n.combination(u, r) * e.pow(a, r) * e.pow(1 - a, u - r);
}, cdf: function(r, u, a) {
var f, s = 1e-10;
if (r < 0) return 0;
if (r >= u) return 1;
if (a < 0 || a > 1 || u <= 0) return NaN;
var m = a, p = (r = e.floor(r)) + 1, g = u - r, N = p + g, h = e.exp(n.gammaln(N) - n.gammaln(g) - n.gammaln(p) + p * e.log(m) + g * e.log(1 - m));
return f = m < (p + 1) / (N + 2) ? h * o(m, p, g, s) : 1 - h * o(1 - m, g, p, s), e.round(1 / s * (1 - f)) / (1 / s);
} }), n.extend(n.negbin, { pdf: function(r, u, a) {
return r === r >>> 0 && (r < 0 ? 0 : n.combination(r + u - 1, u - 1) * e.pow(1 - a, r) * e.pow(a, u));
}, cdf: function(r, u, a) {
var f = 0, s = 0;
if (r < 0) return 0;
for (; s <= r; s++) f += n.negbin.pdf(s, u, a);
return f;
} }), n.extend(n.hypgeom, { pdf: function(r, u, a, f) {
if (r != r | 0) return !1;
if (r < 0 || r < a - (u - f) || r > f || r > a) return 0;
if (2 * a > u) return 2 * f > u ? n.hypgeom.pdf(u - a - f + r, u, u - a, u - f) : n.hypgeom.pdf(f - r, u, u - a, f);
if (2 * f > u) return n.hypgeom.pdf(a - r, u, a, u - f);
if (a < f) return n.hypgeom.pdf(r, u, f, a);
for (var s = 1, m = 0, p = 0; p < r; p++) {
for (; s > 1 && m < f; ) s *= 1 - a / (u - m), m++;
s *= (f - p) * (a - p) / ((p + 1) * (u - a - f + p + 1));
}
for (; m < f; m++) s *= 1 - a / (u - m);
return e.min(1, e.max(0, s));
}, cdf: function(r, u, a, f) {
if (r < 0 || r < a - (u - f)) return 0;
if (r >= f || r >= a) return 1;
if (2 * a > u) return 2 * f > u ? n.hypgeom.cdf(u - a - f + r, u, u - a, u - f) : 1 - n.hypgeom.cdf(f - r - 1, u, u - a, f);
if (2 * f > u) return 1 - n.hypgeom.cdf(a - r - 1, u, a, u - f);
if (a < f) return n.hypgeom.cdf(r, u, f, a);
for (var s = 1, m = 1, p = 0, g = 0; g < r; g++) {
for (; s > 1 && p < f; ) {
var N = 1 - a / (u - p);
m *= N, s *= N, p++;
}
s += m *= (f - g) * (a - g) / ((g + 1) * (u - a - f + g + 1));
}
for (; p < f; p++) s *= 1 - a / (u - p);
return e.min(1, e.max(0, s));
} }), n.extend(n.poisson, { pdf: function(r, u) {
return u < 0 || r % 1 != 0 || r < 0 ? 0 : e.pow(u, r) * e.exp(-u) / n.factorial(r);
}, cdf: function(r, u) {
var a = [], f = 0;
if (r < 0) return 0;
for (; f <= r; f++) a.push(n.poisson.pdf(f, u));
return n.sum(a);
}, mean: function(r) {
return r;
}, variance: function(r) {
return r;
}, sampleSmall: function(r) {
var u = 1, a = 0, f = e.exp(-r);
do
a++, u *= n._random_fn();
while (u > f);
return a - 1;
}, sampleLarge: function(r) {
var u, a, f, s, m, p, g, N, h, d, b = r;
for (s = e.sqrt(b), m = e.log(b), p = 0.02483 * (g = 0.931 + 2.53 * s) - 0.059, N = 1.1239 + 1.1328 / (g - 3.4), h = 0.9277 - 3.6224 / (g - 2); ; )
if (a = e.random() - 0.5, f = e.random(), d = 0.5 - e.abs(a), u = e.floor((2 * p / d + g) * a + b + 0.43), d >= 0.07 && f <= h || !(u < 0 || d < 0.013 && f > d) && e.log(f) + e.log(N) - e.log(p / (d * d) + g) <= u * m - b - n.loggam(u + 1)) return u;
}, sample: function(r) {
return r < 10 ? this.sampleSmall(r) : this.sampleLarge(r);
} }), n.extend(n.triangular, { pdf: function(r, u, a, f) {
return a <= u || f < u || f > a ? NaN : r < u || r > a ? 0 : r < f ? 2 * (r - u) / ((a - u) * (f - u)) : r === f ? 2 / (a - u) : 2 * (a - r) / ((a - u) * (a - f));
}, cdf: function(r, u, a, f) {
return a <= u || f < u || f > a ? NaN : r <= u ? 0 : r >= a ? 1 : r <= f ? e.pow(r - u, 2) / ((a - u) * (f - u)) : 1 - e.pow(a - r, 2) / ((a - u) * (a - f));
}, inv: function(r, u, a, f) {
return a <= u || f < u || f > a ? NaN : r <= (f - u) / (a - u) ? u + (a - u) * e.sqrt(r * ((f - u) / (a - u))) : u + (a - u) * (1 - e.sqrt((1 - r) * (1 - (f - u) / (a - u))));
}, mean: function(r, u, a) {
return (r + u + a) / 3;
}, median: function(r, u, a) {
return a <= (r + u) / 2 ? u - e.sqrt((u - r) * (u - a)) / e.sqrt(2) : a > (r + u) / 2 ? r + e.sqrt((u - r) * (a - r)) / e.sqrt(2) : void 0;
}, mode: function(r, u, a) {
return a;
}, sample: function(r, u, a) {
var f = n._random_fn();
return f < (a - r) / (u - r) ? r + e.sqrt(f * (u - r) * (a - r)) : u - e.sqrt((1 - f) * (u - r) * (u - a));
}, variance: function(r, u, a) {
return (r * r + u * u + a * a - r * u - r * a - u * a) / 18;
} }), n.extend(n.arcsine, { pdf: function(r, u, a) {
return a <= u ? NaN : r <= u || r >= a ? 0 : 2 / e.PI * e.pow(e.pow(a - u, 2) - e.pow(2 * r - u - a, 2), -0.5);
}, cdf: function(r, u, a) {
return r < u ? 0 : r < a ? 2 / e.PI * e.asin(e.sqrt((r - u) / (a - u))) : 1;
}, inv: function(r, u, a) {
return u + (0.5 - 0.5 * e.cos(e.PI * r)) * (a - u);
}, mean: function(r, u) {
return u <= r ? NaN : (r + u) / 2;
}, median: function(r, u) {
return u <= r ? NaN : (r + u) / 2;
}, mode: function() {
throw new Error("mode is not yet implemented");
}, sample: function(r, u) {
return (r + u) / 2 + (u - r) / 2 * e.sin(2 * e.PI * n.uniform.sample(0, 1));
}, variance: function(r, u) {
return u <= r ? NaN : e.pow(u - r, 2) / 8;
} }), n.extend(n.laplace, { pdf: function(r, u, a) {
return a <= 0 ? 0 : e.exp(-e.abs(r - u) / a) / (2 * a);
}, cdf: function(r, u, a) {
return a <= 0 ? 0 : r < u ? 0.5 * e.exp((r - u) / a) : 1 - 0.5 * e.exp(-(r - u) / a);
}, mean: function(r) {
return r;
}, median: function(r) {
return r;
}, mode: function(r) {
return r;
}, variance: function(r, u) {
return 2 * u * u;
}, sample: function(r, u) {
var a = n._random_fn() - 0.5;
return r - u * i(a) * e.log(1 - 2 * e.abs(a));
} }), n.extend(n.tukey, { cdf: function(r, u, a) {
var f = 1, s = u, m = 16, p = 8, g = -30, N = 1e-14, h = 100, d = 800, b = 5e3, E = 25e3, T = 1, S = 0.5, M = 0.25, A = 0.125, R = [0.9894009349916499, 0.9445750230732326, 0.8656312023878318, 0.755404408355003, 0.6178762444026438, 0.45801677765722737, 0.2816035507792589, 0.09501250983763744], O = [0.027152459411754096, 0.062253523938647894, 0.09515851168249279, 0.12462897125553388, 0.14959598881657674, 0.16915651939500254, 0.18260341504492358, 0.1894506104550685];
if (r <= 0) return 0;
if (a < 2 || f < 1 || s < 2) return NaN;
if (!Number.isFinite(r)) return 1;
if (a > E) return c(r, f, s);
var v, D = 0.5 * a, x = D * e.log(a) - a * e.log(2) - n.gammaln(D), P = D - 1, z = 0.25 * a;
v = a <= h ? T : a <= d ? S : a <= b ? M : A, x += e.log(v);
for (var L = 0, X = 1; X <= 50; X++) {
for (var U = 0, _ = (2 * X - 1) * v, B = 1; B <= m; B++) {
var V, F;
p < B ? (V = B - p - 1, F = x + P * e.log(_ + R[V] * v) - (R[V] * v + _) * z) : (V = B - 1, F = x + P * e.log(_ - R[V] * v) + (R[V] * v - _) * z), F >= g && (U += c(p < B ? r * e.sqrt(0.5 * (R[V] * v + _)) : r * e.sqrt(0.5 * (-R[V] * v + _)), f, s) * O[V] * e.exp(F));
}
if (X * v >= 1 && U <= N) break;
L += U;
}
if (U > N) throw new Error("tukey.cdf failed to converge");
return L > 1 && (L = 1), L;
}, inv: function(r, u, a) {
var f = 1e-4, s = 50;
if (a < 2 || u < 2) return NaN;
if (r < 0 || r > 1) return NaN;
if (r === 0) return 0;
if (r === 1) return 1 / 0;
var m, p = l(r, u, a), g = n.tukey.cdf(p, u, a) - r;
m = g > 0 ? e.max(0, p - 1) : p + 1;
for (var N, h = n.tukey.cdf(m, u, a) - r, d = 1; d < s; d++) if (N = m - h * (m - p) / (h - g), g = h, p = m, N < 0 && (N = 0, h = -r), h = n.tukey.cdf(N, u, a) - r, m = N, e.abs(m - p) < f) return N;
throw new Error("tukey.inv failed to converge");
} });
})(t, Math), (function(n, e) {
var o = Array.prototype.push, i = n.utils.isArray;
function c(l) {
return i(l) || l instanceof n;
}
n.extend({ add: function(l, r) {
return c(r) ? (c(r[0]) || (r = [r]), n.map(l, function(u, a, f) {
return u + r[a][f];
})) : n.map(l, function(u) {
return u + r;
});
}, subtract: function(l, r) {
return c(r) ? (c(r[0]) || (r = [r]), n.map(l, function(u, a, f) {
return u - r[a][f] || 0;
})) : n.map(l, function(u) {
return u - r;
});
}, divide: function(l, r) {
return c(r) ? (c(r[0]) || (r = [r]), n.multiply(l, n.inv(r))) : n.map(l, function(u) {
return u / r;
});
}, multiply: function(l, r) {
var u, a, f, s, m, p, g, N;
if (l.length === void 0 && r.length === void 0) return l * r;
if (m = l.length, p = l[0].length, g = n.zeros(m, f = c(r) ? r[0].length : p), N = 0, c(r)) {
for (; N < f; N++) for (u = 0; u < m; u++) {
for (s = 0, a = 0; a < p; a++) s += l[u][a] * r[a][N];
g[u][N] = s;
}
return m === 1 && N === 1 ? g[0][0] : g;
}
return n.map(l, function(h) {
return h * r;
});
}, outer: function(l, r) {
return n.multiply(l.map(function(u) {
return [u];
}), [r]);
}, dot: function(l, r) {
c(l[0]) || (l = [l]), c(r[0]) || (r = [r]);
for (var u, a, f = l[0].length === 1 && l.length !== 1 ? n.transpose(l) : l, s = r[0].length === 1 && r.length !== 1 ? n.transpose(r) : r, m = [], p = 0, g = f.length, N = f[0].length; p < g; p++) {
for (m[p] = [], u = 0, a = 0; a < N; a++) u += f[p][a] * s[p][a];
m[p] = u;
}
return m.length === 1 ? m[0] : m;
}, pow: function(l, r) {
return n.map(l, function(u) {
return e.pow(u, r);
});
}, exp: function(l) {
return n.map(l, function(r) {
return e.exp(r);
});
}, log: function(l) {
return n.map(l, function(r) {
return e.log(r);
});
}, abs: function(l) {
return n.map(l, function(r) {
return e.abs(r);
});
}, norm: function(l, r) {
var u = 0, a = 0;
for (isNaN(r) && (r = 2), c(l[0]) && (l = l[0]); a < l.length; a++) u += e.pow(e.abs(l[a]), r);
return e.pow(u, 1 / r);
}, angle: function(l, r) {
return e.acos(n.dot(l, r) / (n.norm(l) * n.norm(r)));
}, aug: function(l, r) {
var u, a = [];
for (u = 0; u < l.length; u++) a.push(l[u].slice());
for (u = 0; u < a.length; u++) o.apply(a[u], r[u]);
return a;
}, inv: function(l) {
for (var r, u = l.length, a = l[0].length, f = n.identity(u, a), s = n.gauss_jordan(l, f), m = [], p = 0; p < u; p++) for (m[p] = [], r = a; r < s[0].length; r++) m[p][r - a] = s[p][r];
return m;
}, det: function l(r) {
if (r.length === 2) return r[0][0] * r[1][1] - r[0][1] * r[1][0];
for (var u = 0, a = 0; a < r.length; a++) {
for (var f = [], s = 1; s < r.length; s++) {
f[s - 1] = [];
for (var m = 0; m < r.length; m++) m < a ? f[s - 1][m] = r[s][m] : m > a && (f[s - 1][m - 1] = r[s][m]);
}
var p = a % 2 ? -1 : 1;
u += l(f) * r[0][a] * p;
}
return u;
}, gauss_elimination: function(l, r) {
var u, a, f, s, m = 0, p = 0, g = l.length, N = l[0].length, h = 1, d = 0, b = [];
for (u = (l = n.aug(l, r))[0].length, m = 0; m < g; m++) {
for (a = l[m][m], p = m, s = m + 1; s < N; s++) a < e.abs(l[s][m]) && (a = l[s][m], p = s);
if (p != m) for (s = 0; s < u; s++) f = l[m][s], l[m][s] = l[p][s], l[p][s] = f;
for (p = m + 1; p < g; p++) for (h = l[p][m] / l[m][m], s = m; s < u; s++) l[p][s] = l[p][s] - h * l[m][s];
}
for (m = g - 1; m >= 0; m--) {
for (d = 0, p = m + 1; p <= g - 1; p++) d += b[p] * l[m][p];
b[m] = (l[m][u - 1] - d) / l[m][m];
}
return b;
}, gauss_jordan: function(l, r) {
var u, a, f, s = n.aug(l, r), m = s.length, p = s[0].length, g = 0;
for (a = 0; a < m; a++) {
var N = a;
for (f = a + 1; f < m; f++) e.abs(s[f][a]) > e.abs(s[N][a]) && (N = f);
var h = s[a];
for (s[a] = s[N], s[N] = h, f = a + 1; f < m; f++) for (g = s[f][a] / s[a][a], u = a; u < p; u++) s[f][u] -= s[a][u] * g;
}
for (a = m - 1; a >= 0; a--) {
for (g = s[a][a], f = 0; f < a; f++) for (u = p - 1; u > a - 1; u--) s[f][u] -= s[a][u] * s[f][a] / g;
for (s[a][a] /= g, u = m; u < p; u++) s[a][u] /= g;
}
return s;
}, triaUpSolve: function(l, r) {
var u, a = l[0].length, f = n.zeros(1, a)[0], s = !1;
return r[0].length != null && (r = r.map(function(m) {
return m[0];
}), s = !0), n.arange(a - 1, -1, -1).forEach(function(m) {
u = n.arange(m + 1, a).map(function(p) {
return f[p] * l[m][p];
}), f[m] = (r[m] - n.sum(u)) / l[m][m];
}), s ? f.map(function(m) {
return [m];
}) : f;
}, triaLowSolve: function(l, r) {
var u, a = l[0].length, f = n.zeros(1, a)[0], s = !1;
return r[0].length != null && (r = r.map(function(m) {
return m[0];
}), s = !0), n.arange(a).forEach(function(m) {
u = n.arange(m).map(function(p) {
return l[m][p] * f[p];
}), f[m] = (r[m] - n.sum(u)) / l[m][m];
}), s ? f.map(function(m) {
return [m];
}) : f;
}, lu: function(l) {
var r, u = l.length, a = n.identity(u), f = n.zeros(l.length, l[0].length);
return n.arange(u).forEach(function(s) {
f[0][s] = l[0][s];
}), n.arange(1, u).forEach(function(s) {
n.arange(s).forEach(function(m) {
r = n.arange(m).map(function(p) {
return a[s][p] * f[p][m];
}), a[s][m] = (l[s][m] - n.sum(r)) / f[m][m];
}), n.arange(s, u).forEach(function(m) {
r = n.arange(s).map(function(p) {
return a[s][p] * f[p][m];
}), f[s][m] = l[r.length][m] - n.sum(r);
});
}), [a, f];
}, cholesky: function(l) {
var r, u = l.length, a = n.zeros(l.length, l[0].length);
return n.arange(u).forEach(function(f) {
r = n.arange(f).map(function(s) {
return e.pow(a[f][s], 2);
}), a[f][f] = e.sqrt(l[f][f] - n.sum(r)), n.arange(f + 1, u).forEach(function(s) {
r = n.arange(f).map(function(m) {
return a[f][m] * a[s][m];
}), a[s][f] = (l[f][s] - n.sum(r)) / a[f][f];
});
}), a;
}, gauss_jacobi: function(l, r, u, a) {
for (var f, s, m, p, g = 0, N = 0, h = l.length, d = [], b = [], E = []; g < h; g++) for (d[g] = [], b[g] = [], E[g] = [], N = 0; N < h; N++) g > N ? (d[g][N] = l[g][N], b[g][N] = E[g][N] = 0) : g < N ? (b[g][N] = l[g][N], d[g][N] = E[g][N] = 0) : (E[g][N] = l[g][N], d[g][N] = b[g][N] = 0);
for (m = n.multiply(n.multiply(n.inv(E), n.add(d, b)), -1), s = n.multiply(n.inv(E), r), f = u, p = n.add(n.multiply(m, u), s), g = 2; e.abs(n.norm(n.subtract(p, f))) > a; ) f = p, p = n.add(n.multiply(m, f), s), g++;
return p;
}, gauss_seidel: function(l, r, u, a) {
for (var f, s, m, p, g, N = 0, h = l.length, d = [], b = [], E = []; N < h; N++) for (d[N] = [], b[N] = [], E[N] = [], f = 0; f < h; f++) N > f ? (d[N][f] = l[N][f], b[N][f] = E[N][f] = 0) : N < f ? (b[N][f] = l[N][f], d[N][f] = E[N][f] = 0) : (E[N][f] = l[N][f], d[N][f] = b[N][f] = 0);
for (p = n.multiply(n.multiply(n.inv(n.add(E, d)), b), -1), m = n.multiply(n.inv(n.add(E, d)), r), s = u, g = n.add(n.multiply(p, u), m), N = 2; e.abs(n.norm(n.subtract(g, s))) > a; ) s = g, g = n.add(n.multiply(p, s), m), N += 1;
return g;
}, SOR: function(l, r, u, a, f) {
for (var s, m, p, g, N, h = 0, d = l.length, b = [], E = [], T = []; h < d; h++) for (b[h] = [], E[h] = [], T[h] = [], s = 0; s < d; s++) h > s ? (b[h][s] = l[h][s], E[h][s] = T[h][s] = 0) : h < s ? (E[h][s] = l[h][s], b[h][s] = T[h][s] = 0) : (T[h][s] = l[h][s], b[h][s] = E[h][s] = 0);
for (g = n.multiply(n.inv(n.add(T, n.multiply(b, f))), n.subtract(n.multiply(T, 1 - f), n.multiply(E, f))), p = n.multiply(n.multiply(n.inv(n.add(T, n.multiply(b, f))), r), f), m = u, N = n.add(n.multiply(g, u), p), h = 2; e.abs(n.norm(n.subtract(N, m))) > a; ) m = N, N = n.add(n.multiply(g, m), p), h++;
return N;
}, householder: function(l) {
for (var r, u, a, f, s = l.length, m = l[0].length, p = 0, g = [], N = []; p < s - 1; p++) {
for (r = 0, f = p + 1; f < m; f++) r += l[f][p] * l[f][p];
for (r = (l[p + 1][p] > 0 ? -1 : 1) * e.sqrt(r), u = e.sqrt((r * r - l[p + 1][p] * r) / 2), (g = n.zeros(s, 1))[p + 1][0] = (l[p + 1][p] - r) / (2 * u), a = p + 2; a < s; a++) g[a][0] = l[a][p] / (2 * u);
N = n.subtract(n.identity(s, m), n.multiply(n.multiply(g, n.transpose(g)), 2)), l = n.multiply(N, n.multiply(l, N));
}
return l;
}, QR: (function() {
var l = n.sum, r = n.arange;
function u(a) {
var f, s, m, p = a.length, g = a[0].length, N = n.zeros(g, g);
for (a = n.copy(a), s = 0; s < g; s++) {
for (N[s][s] = e.sqrt(l(r(p).map(function(h) {
return a[h][s] * a[h][s];
}))), f = 0; f < p; f++) a[f][s] = a[f][s] / N[s][s];
for (m = s + 1; m < g; m++) for (N[s][m] = l(r(p).map(function(h) {
return a[h][s] * a[h][m];
})), f = 0; f < p; f++) a[f][m] = a[f][m] - a[f][s] * N[s][m];
}
return [a, N];
}
return u;
})(), lstsq: /* @__PURE__ */ (function() {
function l(u) {
var a = (u = n.copy(u)).length, f = n.identity(a);
return n.arange(a - 1, -1, -1).forEach(function(s) {
n.sliceAssign(f, { row: s }, n.divide(n.slice(f, { row: s }), u[s][s])), n.sliceAssign(u, { row: s }, n.divide(n.slice(u, { row: s }), u[s][s])), n.arange(s).forEach(function(m) {
var p = n.multiply(u[m][s], -1), g = n.slice(u, { row: m }), N = n.multiply(n.slice(u, { row: s }), p);
n.sliceAssign(u, { row: m }, n.add(g, N));
var h = n.slice(f, { row: m }), d = n.multiply(n.slice(f, { row: s }), p);
n.sliceAssign(f, { row: m }, n.add(h, d));
});
}), f;
}
function r(u, a) {
var f = !1;
a[0].length === void 0 && (a = a.map(function(E) {
return [E];
}), f = !0);
var s = n.QR(u), m = s[0], p = s[1], g = u[0].length, N = n.slice(m, { col: { end: g } }), h = l(n.slice(p, { row: { end: g } })), d = n.transpose(N);
d[0].length === void 0 && (d = [d]);
var b = n.multiply(n.multiply(h, d), a);
return b.length === void 0 && (b = [[b]]), f ? b.map(function(E) {
return E[0];
}) : b;
}
return r;
})(), jacobi: function(l) {
for (var r, u, a, f, s, m, p, g = 1, N = l.length, h = n.identity(N, N), d = []; g === 1; ) {
for (s = l[0][1], a = 0, f = 1, r = 0; r < N; r++) for (u = 0; u < N; u++) r != u && s < e.abs(l[r][u]) && (s = e.abs(l[r][u]), a = r, f = u);
for (m = l[a][a] === l[f][f] ? l[a][f] > 0 ? e.PI / 4 : -e.PI / 4 : e.atan(2 * l[a][f] / (l[a][a] - l[f][f])) / 2, (p = n.identity(N, N))[a][a] = e.cos(m), p[a][f] = -e.sin(m), p[f][a] = e.sin(m), p[f][f] = e.cos(m), h = n.multiply(h, p), l = n.multiply(n.multiply(n.inv(p), l), p), g = 0, r = 1; r < N; r++) for (u = 1; u < N; u++) r != u && e.abs(l[r][u]) > 1e-3 && (g = 1);
}
for (r = 0; r < N; r++) d.push(l[r][r]);
return [h, d];
}, rungekutta: function(l, r, u, a, f, s) {
var m, p, g;
if (s === 2) for (; a <= u; ) f += ((m = r * l(a, f)) + (p = r * l(a + r, f + m))) / 2, a += r;
if (s === 4) for (; a <= u; ) f += ((m = r * l(a, f)) + 2 * (p = r * l(a + r / 2, f + m / 2)) + 2 * (g = r * l(a + r / 2, f + p / 2)) + r * l(a + r, f + g)) / 6, a += r;
return f;
}, romberg: function(l, r, u, a) {
for (var f, s, m, p, g, N = 0, h = (u - r) / 2, d = [], b = [], E = []; N < a / 2; ) {
for (g = l(r), m = r, p = 0; m <= u; m += h, p++) d[p] = m;
for (f = d.length, m = 1; m < f - 1; m++) g += (m % 2 != 0 ? 4 : 2) * l(d[m]);
g = h / 3 * (g + l(u)), E[N] = g, h /= 2, N++;
}
for (s = E.length, f = 1; s !== 1; ) {
for (m = 0; m < s - 1; m++) b[m] = (e.pow(4, f) * E[m + 1] - E[m]) / (e.pow(4, f) - 1);
s = b.length, E = b, b = [], f++;
}
return E;
}, richardson: function(l, r, u, a) {
function f(T, S) {
for (var M, A = 0, R = T.length; A < R; A++) T[A] === S && (M = A);
return M;
}
for (var s, m, p, g, N, h = e.abs(u - l[f(l, u) + 1]), d = 0, b = [], E = []; a >= h; ) s = f(l, u + a), m = f(l, u), b[d] = (r[s] - 2 * r[m] + r[2 * m - s]) / (a * a), a /= 2, d++;
for (g = b.length, p = 1; g != 1; ) {
for (N = 0; N < g - 1; N++) E[N] = (e.pow(4, p) * b[N + 1] - b[N]) / (e.pow(4, p) - 1);
g = E.length, b = E, E = [], p++;
}
return b;
}, simpson: function(l, r, u, a) {
for (var f, s = (u - r) / a, m = l(r), p = [], g = r, N = 0, h = 1; g <= u; g += s, N++) p[N] = g;
for (f = p.length; h < f - 1; h++) m += (h % 2 != 0 ? 4 : 2) * l(p[h]);
return s / 3 * (m + l(u));
}, hermite: function(l, r, u, a) {
for (var f, s = l.length, m = 0, p = 0, g = [], N = [], h = [], d = []; p < s; p++) {
for (g[p] = 1, f = 0; f < s; f++) p != f && (g[p] *= (a - l[f]) / (l[p] - l[f]));
for (N[p] = 0, f = 0; f < s; f++) p != f && (N[p] += 1 / (l[p] - l[f]));
h[p] = (1 - 2 * (a - l[p]) * N[p]) * (g[p] * g[p]), d[p] = (a - l[p]) * (g[p] * g[p]), m += h[p] * r[p] + d[p] * u[p];
}
return m;
}, lagrange: function(l, r, u) {
for (var a, f, s = 0, m = 0, p = l.length; m < p; m++) {
for (f = r[m], a = 0; a < p; a++) m != a && (f *= (u - l[a]) / (l[m] - l[a]));
s += f;
}
return s;
}, cubic_spline: function(l, r, u) {
for (var a, f = l.length, s = 0, m = [], p = [], g = [], N = [], h = [], d = [], b = []; s < f - 1; s++) h[s] = l[s + 1] - l[s];
for (g[0] = 0, s = 1; s < f - 1; s++) g[s] = 3 / h[s] * (r[s + 1] - r[s]) - 3 / h[s - 1] * (r[s] - r[s - 1]);
for (s = 1; s < f - 1; s++) m[s] = [], p[s] = [], m[s][s - 1] = h[s - 1], m[s][s] = 2 * (h[s - 1] + h[s]), m[s][s + 1] = h[s], p[s][0] = g[s];
for (N = n.multiply(n.inv(m), p), a = 0; a < f - 1; a++) d[a] = (r[a + 1] - r[a]) / h[a] - h[a] * (N[a + 1][0] + 2 * N[a][0]) / 3, b[a] = (N[a + 1][0] - N[a][0]) / (3 * h[a]);
for (a = 0; a < f && !(l[a] > u); a++) ;
return r[a -= 1] + (u - l[a]) * d[a] + n.sq(u - l[a]) * N[a] + (u - l[a]) * n.sq(u - l[a]) * b[a];
}, gauss_quadrature: function() {
throw new Error("gauss_quadrature not yet implemented");
}, PCA: function(l) {
var r, u, a = l.length, f = l[0].length, s = 0, m = [], p = [], g = [], N = [], h = [], d = [], b = [], E = [], T = [], S = [];
for (s = 0; s < a; s++) m[s] = n.sum(l[s]) / f;
for (s = 0; s < f; s++) for (b[s] = [], r = 0; r < a; r++) b[s][r] = l[r][s] - m[r];
for (b = n.transpose(b), s = 0; s < a; s++) for (E[s] = [], r = 0; r < a; r++) E[s][r] = n.dot([b[s]], [b[r]]) / (f - 1);
for (T = (g = n.jacobi(E))[0], p = g[1], S = n.transpose(T), s = 0; s < p.length; s++) for (r = s; r < p.length; r++) p[s] < p[r] && (u = p[s], p[s] = p[r], p[r] = u, N = S[s], S[s] = S[r], S[r] = N);
for (d = n.transpose(b), s = 0; s < a; s++) for (h[s] = [], r = 0; r < d.length; r++) h[s][r] = n.dot([S[s]], [d[r]]);
return [l, p, S, h];
} }), (function(l) {
for (var r = 0; r < l.length; r++) (function(u) {
n.fn[u] = function(a, f) {
var s = this;
return f ? (setTimeout(function() {
f.call(s, n.fn[u].call(s, a));
}, 15), this) : typeof n[u](this, a) == "number" ? n[u](this, a) : n(n[u](this, a));
};
})(l[r]);
})("add divide multiply subtract dot pow exp log abs norm angle".split(" "));
})(t, Math), (function(n, e) {
var o = [].slice, i = n.utils.isNumber, c = n.utils.isArray;
function l(r, u, a, f) {
if (r > 1 || a > 1 || r <= 0 || a <= 0) throw new Error("Proportions should be greater than 0 and less than 1");
var s = (r * u + a * f) / (u + f);
return (r - a) / e.sqrt(s * (1 - s) * (1 / u + 1 / f));
}
n.extend({ zscore: function() {
var r = o.call(arguments);
return i(r[1]) ? (r[0] - r[1]) / r[2] : (r[0] - n.mean(r[1])) / n.stdev(r[1], r[2]);
}, ztest: function() {
var r, u = o.call(arguments);
return c(u[1]) ? (r = n.zscore(u[0], u[1], u[3]), u[2] === 1 ? n.normal.cdf(-e.abs(r), 0, 1) : 2 * n.normal.cdf(-e.abs(r), 0, 1)) : u.length > 2 ? (r = n.zscore(u[0], u[1], u[2]), u[3] === 1 ? n.normal.cdf(-e.abs(r), 0, 1) : 2 * n.normal.cdf(-e.abs(r), 0, 1)) : (r = u[0], u[1] === 1 ? n.normal.cdf(-e.abs(r), 0, 1) : 2 * n.normal.cdf(-e.abs(r), 0, 1));
} }), n.extend(n.fn, { zscore: function(r, u) {
return (r - this.mean()) / this.stdev(u);
}, ztest: function(r, u, a) {
var f = e.abs(this.zscore(r, a));
return u === 1 ? n.normal.cdf(-f, 0, 1) : 2 * n.normal.cdf(-f, 0, 1);
} }), n.extend({ tscore: function() {
var r = o.call(arguments);
return r.length === 4 ? (r[0] - r[1]) / (r[2] / e.sqrt(r[3])) : (r[0] - n.mean(r[1])) / (n.stdev(r[1], !0) / e.sqrt(r[1].length));
}, ttest: function() {
var r, u = o.call(arguments);
return u.length === 5 ? (r = e.abs(n.tscore(u[0], u[1], u[2], u[3])), u[4] === 1 ? n.studentt.cdf(-r, u[3] - 1) : 2 * n.studentt.cdf(-r, u[3] - 1)) : i(u[1]) ? (r = e.abs(u[0]), u[2] == 1 ? n.studentt.cdf(-r, u[1] - 1) : 2 * n.studentt.cdf(-r, u[1] - 1)) : (r = e.abs(n.tscore(u[0], u[1])), u[2] == 1 ? n.studentt.cdf(-r, u[1].length - 1) : 2 * n.studentt.cdf(-r, u[1].length - 1));
} }), n.extend(n.fn, { tscore: function(r) {
return (r - this.mean()) / (this.stdev(!0) / e.sqrt(this.cols()));
}, ttest: function(r, u) {
return u === 1 ? 1 - n.studentt.cdf(e.abs(this.tscore(r)), this.cols() - 1) : 2 * n.studentt.cdf(-e.abs(this.tscore(r)), this.cols() - 1);
} }), n.extend({ anovafscore: function() {
var r, u, a, f, s, m, p, g, N = o.call(arguments);
if (N.length === 1) {
for (s = new Array(N[0].length), p = 0; p < N[0].length; p++) s[p] = N[0][p];
N = s;
}
for (u = new Array(), p = 0; p < N.length; p++) u = u.concat(N[p]);
for (a = n.mean(u), r = 0, p = 0; p < N.length; p++) r += N[p].length * e.pow(n.mean(N[p]) - a, 2);
for (r /= N.length - 1, m = 0, p = 0; p < N.length; p++) for (f = n.mean(N[p]), g = 0; g < N[p].length; g++) m += e.pow(N[p][g] - f, 2);
return r / (m /= u.length - N.length);
}, anovaftest: function() {
var r, u, a, f, s = o.call(arguments);
if (i(s[0])) return 1 - n.centralF.cdf(s[0], s[1], s[2]);
var m = n.anovafscore(s);
for (r = s.length - 1, a = 0, f = 0; f < s.length; f++) a += s[f].length;
return u = a - r - 1, 1 - n.centralF.cdf(m, r, u);
}, ftest: function(r, u, a) {
return 1 - n.centralF.cdf(r, u, a);
} }), n.extend(n.fn, { anovafscore: function() {
return n.anovafscore(this.toArray());
}, anovaftes: function() {
var r, u = 0;
for (r = 0; r < this.length; r++) u += this[r].length;
return n.ftest(this.anovafscore(), this.length - 1, u - this.length);
} }), n.extend({ qscore: function() {
var r, u, a, f, s, m = o.call(arguments);
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"criteria", s: "s", r: "l" }] }, DVARP: { p: [{ n: "database", r: "l" }, { n: "field", s: "s" }, { n: "criteria", s: "s", r: "l" }] } }, Be = { DATE: { p: [{ n: "year" }, { n: "month" }, { n: "day" }] }, DATEDIF: { p: [{ n: "startDate" }, { n: "endDate" }, { n: "unit", s: "s" }] }, DATESTRING: { p: [{ n: "number" }] }, DATEVALUE: { p: [{ n: "dateText", s: "s" }] }, DAY: { p: [{ n: "serialOrString", s: "*" }] }, DAYS: { p: [{ n: "endDate" }, { n: "startDate" }] }, DAYS360: { p: [{ n: "startDate" }, { n: "endDate" }, { n: "method", s: "b", m: "?" }] }, EDATE: { p: [{ n: "startDate", s: "Date" }, { n: "months" }] }, EOMONTH: { p: [{ n: "startDate", s: "Date" }, { n: "months" }] }, HOUR: { p: [{ n: "serialOrString", s: "*" }] }, ISOWEEKNUM: { p: [{ n: "serialOrString", s: "*" }] }, MINUTE: { p: [{ n: "serialOrString", s: "s" }] }, MONTH: { p: [{ n: "serialOrString", s: "s" }] }, NETWORKDAYS: { p: [{ n: "startDate", s: "Date" }, { n: "endDate", s: "Date" }, { n: "holidays", d: 1, m: "?" }] }, "NETWORKDAYS.INTL": { fn: "NETWORKDAYS_INTL", p: [{ n: "startDate", s: "Date" }, { n: "endDate", s: "Date" }, { n: "weekend", s: "z", m: "?" }, { n: "holidays", d: 1, m: "?" }] }, NOW: {}, SECOND: { p: [{ n: "serialOrString", s: "*" }] }, TIME: { p: [{ n: "hour" }, { n: "minute" }, { n: "second" }] }, TIMEVALUE: { p: [{ n: "timeText", s: "s" }] }, TODAY: {}, WEEKDAY: { p: [{ n: "serialOrString", s: "*" }, { n: "returnType", m: "?" }] }, WEEKNUM: { p: [{ n: "serialOrString", s: "z" }, { n: "returnType", m: "?" }] }, WORKDAY: { p: [{ n: "startDate", s: "Date" }, { n: "days" }, { n: "holidays", d: 1, m: "?" }] }, "WORKDAY.INTL": { fn: "WORKDAY_INTL", p: [{ n: "startDate", s: "Date" }, { n: "days" }, { n: "weekend", s: "z", m: "?" }, { n: "holidays", d: 1, m: "?" }] }, YEAR: { p: [{ n: "serialOrString", s: "*" }] }, YEARFRAC: { p: [{ n: "startDate" }, { n: "endDate" }, { n: "basis", m: "?" }] } }, Ue = { BESSELI: { p: [{ n: "x" }, { n: "n" }] }, BESSELJ: { p: [{ n: "x" }, { n: "n" }] }, BESSELK: { p: [{ n: "x" }, { n: "n" }] }, BESSELY: { p: [{ n: "x" }, { n: "n" }] } }, Le = { BIN2DEC: { p: [{ n: "number" }] }, BIN2HEX: { p: [{ n: "number" }, { n: "places", m: "?" }] }, BIN2OCT: { p: [{ n: "number" }, { n: "places", m: "?" }] }, BITAND: { p: [{ n: "number1", s: "*" }, { n: "number2", s: "*" }] }, BITLSHIFT: { p: [{ n: "number", s: "*" }, { n: "shiftAmount" }] }, BITOR: { p: [{ n: "number1", s: "*" }, { n: "number2", s: "*" }] }, BITRSHIFT: { p: [{ n: "number", s: "*" }, { n: "shiftAmount" }] }, BITXOR: { p: [{ n: "number1", s: "*" }, { n: "number2", s: "*" }] }, DEC2BIN: { p: [{ n: "number" }, { n: "places", m: "?" }] }, DEC2HEX: { p: [{ n: "number" }, { n: "places", m: "?" }] }, DEC2OCT: { p: [{ n: "number" }, { n: "places", m: "?" }] }, HEX2BIN: { p: [{ n: "number", s: "s" }, { n: "places", m: "?" }] }, HEX2DEC: { p: [{ n: "number", s: "s" }] }, HEX2OCT: { p: [{ n: "number", s: "s" }, { n: "places", m: "?" }] }, OCT2BIN: { p: [{ n: "number", s: "s" }, { n: "places", m: "?" }] }, OCT2DEC: { p: [{ n: "number", s: "s" }] }, OCT2HEX: { p: [{ n: "number", s: "s" }, { n: "places", m: "?" }] } }, Pe = { CONVERT: { p: [{ n: "number" }, { n: "fromUnit", s: "s" }, { n: "toUnit", s: "s" }] } }, Ve = { DELTA: { p: [{ n: "number1" }, { n: "number2", m: "?" }] }, GESTEP: { p: [{ n: "number" }, { n: "step", m: "?" }] } }, Fe = { ERF: { p: [{ n: "lowerLimit" }, { n: "upperLimit", m: "?" }] }, "ERF.PRECISE": { fn: "ERF_PRECISE", p: [{ n: "x" }] }, ERFC: { p: [{ n: "x" }] } }, He = { COMPLEX: { p: [{ n: "realNum" }, { n: "iNum" }, { n: "suffix", s: "s", m: "?" }] }, IMABS: { p: [{ n: "inumber", s: "*" }] }, IMAGINARY: { p: [{ n: "inumber", s: "*" }] }, IMARGUMENT: { p: [{ n: "inumber", s: "*" }] }, IMCONJUGATE: { p: [{ n: "inumber", s: "*" }] }, IMCOS: { p: [{ n: "inumber", s: "*" }] }, IMCOSH: { p: [{ n: "inumber", s: "*" }] }, IMCOT: { p: [{ n: "inumber", s: "*" }] }, IMCSC: { p: [{ n: "inumber", s: "*" }] }, IMCSCH: { p: [{ n: "inumber", s: "*" }] }, IMDIV: { p: [{ n: "inumber1", s: "*" }, { n: "inumber2", s: "*" }] }, IMEXP: { p: [{ n: "inumber", s: "*" }] }, IMLN: { p: [{ n: "inumber", s: "*" }] }, IMLOG10: { p: [{ n: "inumber", s: "*" }] }, IMLOG2: { p: [{ n: "inumber", s: "*" }] }, IMPOWER: { p: [{ n: "inumber", s: "*" }, { n: "number" }] }, IMPRODUCT: { p: [{ n: "inumber", s: "*", d: 1, m: "..." }] }, IMREAL: { p: [{ n: "inumber", s: "*" }] }, IMSEC: { p: [{ n: "inumber", s: "*" }] }, IMSECH: { p: [{ n: "inumber", s: "*" }] }, IMSIN: { p: [{ n: "inumber", s: "*" }] }, IMSINH: { p: [{ n: "inumber", s: "*" }] }, IMSQRT: { p: [{ n: "inumber", s: "*" }] }, IMSUB: { p: [{ n: "inumber1", s: "*" }, { n: "inumber2", s: "*" }] }, IMSUM: { p: [{ n: "inumber", s: "*", d: 1, m: "..." }] }, IMTAN: { p: [{ n: "inumber", s: "*" }] } }, Ge = { ACCRINT: { p: [{ n: "issue" }, { n: "firstInterest" }, { n: "settlement" }, { n: "rate" }, { n: "par" }, { n: "frequency" }, { n: "basis", m: "?" }, { n: "calcMethod", s: "b", m: "?" }] }, ACCRINTM: { p: [{ n: "issue" }, { n: "settlement" }, { n: "rate" }, { n: "par" }, { n: "basis", m: "?" }] }, AMORLINC: { p: [{ n: "cost" }, { n: "datePurchased" }, { n: "firstPeriod" }, { n: "salvarge" }, { n: "period" }, { n: "rate" }, { n: "basis", m: "?" }] }, COUPDAYBS: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "frequency" }, { n: "basis", m: "?" }] }, COUPDAYS: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "frequency" }, { n: "basis", m: "?" }] }, COUPNCD: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "frequency" }, { n: "basis", m: "?" }] }, COUPNUM: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "frequency" }, { n: "basis", m: "?" }] }, COUPPCD: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "frequency" }, { n: "basis", m: "?" }] }, CUMIPMT: { p: [{ n: "rate" }, { n: "nper" }, { n: "pv" }, { n: "startPeriod" }, { n: "endPeriod" }, { n: "type" }] }, CUMPRINC: { p: [{ n: "rate" }, { n: "nper" }, { n: "pv" }, { n: "startPeriod" }, { n: "endPeriod" }, { n: "type" }] }, DB: { p: [{ n: "cost" }, { n: "salvage" }, { n: "life" }, { n: "period" }, { n: "month", m: "?" }] }, DDB: { p: [{ n: "cost" }, { n: "salvage" }, { n: "life" }, { n: "period" }, { n: "factor", m: "?" }] }, DISC: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "pr" }, { n: "redemption" }, { n: "basis", m: "?" }] }, DOLLARDE: { p: [{ n: "fractionalDollar" }, { n: "fraction" }] }, DOLLARFR: { p: [{ n: "decimalDollar" }, { n: "fraction" }] }, DURATION: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "coupon" }, { n: "yld" }, { n: "frequency" }, { n: "basis", m: "?" }] }, EFFECT: { p: [{ n: "nominalRate" }, { n: "npery" }] }, FV: { p: [{ n: "rate" }, { n: "nper" }, { n: "pmt" }, { n: "pv", m: "?" }, { n: "type", m: "?", e: ["0", "1"] }] }, FVSCHEDULE: { p: [{ n: "principal" }, { n: "schedule", s: "n", r: "l" }] }, INTRATE: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "investment" }, { n: "redemption" }, { n: "basis", m: "?" }] }, IPMT: { p: [{ n: "rate" }, { n: "per" }, { n: "nper" }, { n: "pv" }, { n: "fv", m: "?" }, { n: "type", m: "?" }] }, IRR: { p: [{ n: "values", s: "n", r: "l" }, { n: "guess", m: "?" }] }, ISPMT: { p: [{ n: "rate" }, { n: "per" }, { n: "nper" }, { n: "pv" }] }, MDURATION: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "coupon" }, { n: "yld" }, { n: "frequency" }, { n: "basis", m: "?" }] }, MIRR: { p: [{ n: "values", d: 1 }, { n: "financeRate" }, { n: "reinvestRate" }] }, NOMINAL: { p: [{ n: "effectiveRate" }, { n: "npery" }] }, NPER: { p: [{ n: "rate" }, { n: "pmt" }, { n: "pv" }, { n: "fv", m: "?" }, { n: "type", m: "?" }] }, NPV: { p: [{ n: "rate" }, { n: "value", d: 1, m: "..." }] }, ODDFPRICE: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "issue" }, { n: "firstCoupon" }, { n: "yld" }, { n: "redemption" }, { n: "frequency" }, { n: "basis", m: "?" }] }, ODDFYIELD: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "issue" }, { n: "firstCoupon" }, { n: "yld" }, { n: "redemption" }, { n: "frequency" }, { n: "basis", m: "?" }] }, ODDLPRICE: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "lastInterest" }, { n: "rate" }, { n: "yld" }, { n: "redemption" }, { n: "frequency" }, { n: "basis", m: "?" }] }, ODDLYIELD: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "lastInterest" }, { n: "rate" }, { n: "pr" }, { n: "redemption" }, { n: "frequency" }, { n: "basis", m: "?" }] }, PDURATION: { p: [{ n: "rate" }, { n: "pv" }, { n: "fv" }] }, PMT: { p: [{ n: "rate" }, { n: "nper" }, { n: "pv" }, { n: "fv", m: "?" }, { n: "type", m: "?" }] }, PRICE: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "rate" }, { n: "yld" }, { n: "redemption" }, { n: "frequency" }, { n: "basis", m: "?" }] }, PRICEDISC: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "discount" }, { n: "redemption" }, { n: "basis", m: "?" }] }, PRICEMAT: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "issue" }, { n: "rate" }, { n: "yld" }, { n: "basis", m: "?" }] }, PV: { p: [{ n: "rate" }, { n: "nper" }, { n: "pmt" }, { n: "fv", m: "?" }, { n: "type", m: "?" }] }, RATE: { p: [{ n: "nper" }, { n: "pmt" }, { n: "pv" }, { n: "fv", m: "?" }, { n: "type", m: "?" }, { n: "guess", m: "?" }] }, RECEIVED: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "investment" }, { n: "discount" }, { n: "basis", m: "?" }] }, RRI: { p: [{ n: "nper" }, { n: "pv" }, { n: "fv" }] }, SLN: { p: [{ n: "cost" }, { n: "salvage" }, { n: "life" }] }, STOCKHISTORY: { p: [{ n: "stock", s: "s" }, { n: "startDate" }, { n: "endDate" }, { n: "interval", m: "?" }, { n: "headers", m: "?" }, { n: "properties", d: 1, m: "?" }] }, SYD: { p: [{ n: "cost" }, { n: "salvage" }, { n: "life" }, { n: "per" }] }, TBILLEQ: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "discount" }] }, TBILLPRICE: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "discount" }] }, TBILLYIELD: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "pr" }] }, VDB: { p: [{ n: "cost" }, { n: "salvage" }, { n: "life" }, { n: "startPeriod" }, { n: "endPeriod" }, { n: "factor", m: "?" }, { n: "noSwitch", s: "b", m: "?" }] }, XIRR: { p: [{ n: "values", s: "n", r: "l", d: 1 }, { n: "dates", s: "n", r: "l", d: 1 }, { n: "guess", m: "?" }] }, XNPV: { p: [{ n: "rate" }, { n: "values", d: 1 }, { n: "dates", d: 1 }] }, YIELD: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "rate" }, { n: "pr" }, { n: "redemption" }, { n: "frequency" }, { n: "basis", m: "?" }] }, YIELDDISC: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "pr" }, { n: "redemption" }, { n: "frequency" }, { n: "basis", m: "?" }] }, YIELDMAT: { p: [{ n: "settlement" }, { n: "maturity" }, { n: "issue" }, { n: "rate" }, { n: "pr" }, { n: "basis", m: "?" }] } }, Xe = { CELL: { p: [{ n: "infoType", s: "s", e: ["address", "col", "contents", "row", "type"] }, { n: "reference", r: "r" }] }, "ERROR.TYPE": { fn: "ERROR_TYPE", p: [{ n: "errorVal", r: "l" }] }, INFO: { p: [{ n: "typeText", s: "s", e: ["DIRECTORY", "NUMFILE", "ORIGIN", "OSVERSION", "RECALC", "RELEASE", "SYSTEM", "USER"] }] }, ISBLANK: { p: [{ n: "value", r: "l" }] }, ISERR: { p: [{ n: "value", r: "l" }] }, ISERROR: { p: [{ n: "value", r: "l" }] }, ISEVEN: { p: [{ n: "number", s: "n", r: "l" }] }, ISFORMULA: { p: [{ n: "reference", r: "r" }] }, ISLOGICAL: { p: [{ n: "value", r: "l" }] }, ISNA: { p: [{ n: "value", r: "l" }] }, ISNONTEXT: { p: [{ n: "value", r: "l" }] }, ISNUMBER: { p: [{ n: "value", r: "l" }] }, ISODD: { p: [{ n: "number", s: "n", r: "l" }] }, ISOMITTED: { p: [{ n: "argument", s: "z" }] }, ISREF: { p: [{ n: "value", r: "l" }] }, ISTEXT: { p: [{ n: "value", r: "l" }] }, N: { p: [{ n: "value", r: "l" }] }, NA: {}, SHEET: { p: [{ n: "value", s: "s", m: "?" }] }, SHEETS: { p: [{ n: "reference", r: "r", m: "?" }] }, TYPE: { p: [{ n: "value", r: "l" }] } }, Ye = { AND: { p: [{ n: "logical", r: "l", d: 1, m: "..." }] }, BYCOL: { p: [{ n: "array", r: "l" }, { n: "fn", s: "z" }] }, BYROW: { p: [{ n: "array", r: "l" }, { n: "fn", s: "z" }] }, FALSE: {}, IF: { p: [{ n: "logicalTest", r: "l" }, { n: "valueIfTrue", r: "l" }, { n: "valueIfFalse", r: "l", m: "?" }] }, IFERROR: { p: [{ n: "value", r: "l" }, { n: "valueIfError", r: "l" }] }, IFNA: { p: [{ n: "value", r: "l" }, { n: "valueIfError", r: "l" }] }, IFS: { p: [{ n: "logicalTest", r: "l" }, { n: "logicalTrue", r: "l" }, { n: "rest", r: "l", d: 1, m: "..." }] }, LAMDA: { p: [{ n: "parameterOrCalculation", r: "l", d: 1, m: "..." }] }, LET: { p: [{ n: "name", s: "s" }, { n: "nameOrValue", r: "l" }, { n: "calculationOrName", r: "l" }, { n: "rest", r: "l", d: 1, m: "..." }] }, MAKEARRAY: { p: [{ n: "rows" }, { n: "columns" }, { n: "fn", r: "l" }] }, MAP: { p: [{ n: "array", r: "l" }, { n: "lamdaOrArray", r: "l", d: 1, m: "..." }] }, NOT: { p: [{ n: "logical", r: "l" }] }, OR: { p: [{ n: "logical", r: "l", d: 1, m: "..." }] }, REDUCE: { p: [{ n: "initialValue", r: "l" }, { n: "array", r: "l" }, { n: "fn", r: "l" }] }, SCAN: { p: [{ n: "initialValue", r: "l" }, { n: "array", r: "l" }, { n: "fn", r: "l" }] }, SWITCH: { p: [{ n: "expression", r: "l" }, { n: "value", r: "l" }, { n: "results", r: "l", d: 1, m: "..." }] }, TRUE: {}, XOR: { p: [{ n: "logical", r: "l", d: 1, m: "..." }] } }, qe = { ADDRESS: { p: [{ n: "rowNum" }, { n: "columnNum" }, { n: "absNum", m: "?" }, { n: "a1", s: "b", m: "?" }, { n: "sheetText", s: "s", m: "?" }] }, AREAS: { p: [{ n: "references", r: "l", d: 1, m: "..." }] }, CHOOSE: { p: [{ n: "indexNum" }, { n: "value1", r: "l" }, { n: "value", r: "l", d: 1, m: "..." }] }, CHOOSECOLS: { p: [{ n: "array", r: "l" }, { n: "colNum1" }, { n: "colNum", d: 1, m: "..." }] }, CHOOSEROWS: { p: [{ n: "array", r: "l" }, { n: "rowNum1" }, { n: "rowNum", d: 1, m: "..." }] }, COLUMN: { p: [{ n: "reference", r: "r", m: "?" }] }, COLUMNS: { p: [{ n: "array", r: "l" }] }, DROP: { p: [{ n: "array", r: "l" }, { n: "row" }, { n: "columns", m: "?" }] }, EXPAND: { p: [{ n: "array", r: "l" }, { n: "row" }, { n: "columns", m: "?" }, { n: "padWidth", s: "*", m: "?" }] }, FIELDVALUE: { p: [{ n: "value", s: "*" }, { n: "fieldName", s: "s" }] }, FILTER: { p: [{ n: "array", r: "l" }, { n: "include", r: "l" }, { n: "ifEmpty", r: "l" }] }, FORMULATEXT: { p: [{ n: "reference", r: "r" }] }, GETPIVOTDATA: { p: [{ n: "dataField", s: "s" }, { n: "pivotTable", s: "s" }, { n: "field1", s: "s" }, { n: "item1", r: "l" }] }, GROUPBY: { p: [{ n: "rowFields", r: "r" }, { n: "values", r: "l" }, { n: "fn", s: "z", d: 1 }, { n: "fieldHeaders", m: "?" }, { n: "totalDepth", m: "?" }, { n: "sortOrder", s: "z", d: 1, m: "?" }, { n: "filterArray", s: "b", d: 1, m: "?" }, { n: "fieldRelationship", m: "?" }] }, HLOOKUP: { p: [{ n: "lookupValue", s: "*" }, { n: "tableArray", r: "l" }, { n: "rowIndexNum" }, { n: "rangeLookup", s: "b", m: "?" }] }, HSTACK: { p: [{ n: "array1", r: "l" }, { n: "array", r: "l", d: 1, m: "..." }] }, HYPERLINK: { p: [{ n: "linkLocation", s: "s" }, { n: "friendlyName", s: "s", m: "?" }] }, IMAGE: { p: [{ n: "source", s: "s" }, { n: "alternateText", s: "s" }, { n: "sizing" }, { n: "height" }, { n: "width" }] }, INDEX: { p: [{ n: "array", r: "l", d: 1 }, { n: "rowNum", m: "?" }, { n: "colNum", m: "?" }, { n: "areaNum", m: "?" }] }, INDIRECT: { p: [{ n: "refText", s: "s" }, { n: "a1", s: "b", m: "?" }] }, LOOKUP: { p: [{ n: "lookupValue", s: "*" }, { n: "lookupVector", r: "l" }, { n: "resultVector", r: "l" }] }, MATCH: { p: [{ n: "lookupValue", s: "*" }, { n: "lookupArray", d: 2 }, { n: "matchType" }] }, OFFSET: { p: [{ n: "reference", r: "r" }, { n: "rows" }, { n: "cols" }, { n: "height", m: "?" }, { n: "width", m: "?" }] }, PIVOTBY: { p: [{ n: "rowFields", r: "r" }, { n: "colFields", r: "r" }, { n: "values", r: "l", d: 1 }, { n: "fn", s: "z", d: 1 }, { n: "fieldHeaders", m: "?" }, { n: "rowTotalDepth", m: "?" }, { n: "rowSortOrder", s: "z", d: 1, m: "?" }, { n: "colTotalDepth", m: "?" }, { n: "colSortOrder", s: "z", d: 1, m: "?" }, { n: "filterArray", s: "b", d: 1, m: "?" }, { n: "relativeTo", m: "?" }] }, ROW: { p: [{ n: "reference", r: "r", m: "?" }] }, ROWS: { p: [{ n: "array", r: "l" }] }, RTD: { p: [{ n: "progId", s: "s" }, { n: "server", s: "s", m: "?" }, { n: "topic", s: "s", d: 1, m: "..." }] }, SORT: { p: [{ n: "array", r: "l" }, { n: "sortIndex", d: 1, m: "?" }, { n: "sortOrder", d: 1, m: "?" }, { n: "byCol", s: "b", m: "?" }] }, SORTBY: { p: [{ n: "array", r: "l" }, { n: "byArray1", r: "l" }, { n: "sortOrder", d: 1, m: "?" }] }, TAKE: { p: [{ n: "array", r: "l" }, { n: "rows" }, { n: "columns", m: "?" }] }, TOCOL: { p: [{ n: "array", r: "l" }, { n: "ignore", m: "?", e: ["0 - Keep all values", "1 - Ignore Blanks", "2 - Ignore Errors", "3 - Ignore Blanks and Errors"] }, { n: "scanByColumn", s: "b", m: "?" }] }, TOROW: { p: [{ n: "array", r: "l" }, { n: "ignore", m: "?", e: ["0 - Keep all values", "1 - Ignore Blanks", "2 - Ignore Errors", "3 - Ignore Blanks and Errors"] }, { n: "scanByColumn", s: "b", m: "?" }] }, TRANSPOSE: { p: [{ n: "array", r: "l" }] }, TRIMRANGE: { p: [{ n: "range", r: "l" }, { n: "rowTrimMode", m: "?" }, { n: "colTrimMode", m: "?" }] }, UNIQUE: { p: [{ n: "array", r: "l" }, { n: "byCol", s: "b", m: "?" }, { n: "exactlyOnce", s: "b", m: "?" }] }, VLOOKUP: { p: [{ n: "lookupValue", s: "*" }, { n: "tableArray", r: "l" }, { n: "colIndexNum" }, { n: "rangeLookup", s: "b", m: "?" }] }, VSTACK: { p: [{ n: "array1", r: "l" }, { n: "array", r: "l", d: 1, m: "..." }] }, WRAPCOLS: { p: [{ n: "vector", r: "l" }, { n: "wrapCount" }, { n: "padWith", s: "*", m: "?" }] }, WRAPROWS: { p: [{ n: "vector", r: "l" }, { n: "wrapCount" }, { n: "padWith", s: "*", m: "?" }] }, XLOOKUP: { p: [{ n: "lookupValue", s: "*" }, { n: "lookupArray", r: "l" }, { n: "returnArray", r: "l" }, { n: "ifNotFound", s: "*" }, { n: "rangeLookup", s: "b", m: "?" }, { n: "matchMode", s: "b" }, { n: "searchMode", s: "b", m: "?" }] }, XMATCH: { p: [{ n: "lookupValue", s: "*" }, { n: "lookupArray", r: "l" }, { n: "matchMode", s: "b" }, { n: "searchMode", s: "b", m: "?" }] } }, ke = { ABS: { p: [{ n: "number" }] }, AGGREGATE: { p: [{ n: "functionNum" }, { n: "options" }, { n: "array", r: "l" }, { n: "K" }] }, ARABIC: { p: [{ n: "text", s: "s" }] }, BASE: { p: [{ n: "number" }, { n: "radix" }, { n: "minLength", m: "?" }] }, CEILING: { p: [{ n: "number" }, { n: "significance", m: "?" }] }, "CEILING.MATH": { fn: "CEILING_MATH", p: [{ n: "number" }, { n: "significance", m: "?" }, { n: "mode", m: "?" }] }, "CEILING.PRECISE": { fn: "CEILING_PRECISE", p: [{ n: "number" }, { n: "significance", m: "?" }] }, COMBIN: { p: [{ n: "number" }, { n: "numberChosen" }] }, COMBINA: { p: [{ n: "number" }, { n: "numberChosen" }] }, DECIMAL: { p: [{ n: "number", s: "s" }, { n: "radix" }] }, DEGREES: { p: [{ n: "angle" }] }, EVEN: { p: [{ n: "number" }] }, EXP: { p: [{ n: "number" }] }, FACT: { p: [{ n: "number" }] }, FACTDOUBLE: { p: [{ n: "number" }] }, FLOOR: { p: [{ n: "number" }, { n: "significance", m: "?" }] }, "FLOOR.MATH": { fn: "FLOOR_MATH", p: [{ n: "number" }, { n: "significance", m: "?" }, { n: "mode", m: "?" }] }, "FLOOR.PRECISE": { fn: "FLOOR_PRECISE", p: [{ n: "number" }, { n: "significance", m: "?" }] }, GCD: { p: [{ n: "number", d: 1, m: "..." }] }, INT: { p: [{ n: "number" }] }, "ISO.CEILING": { fn: "ISO_CEILING", p: [{ n: "number" }, { n: "significance", m: "?" }] }, LCM: { p: [{ n: "number", d: 1, m: "..." }] }, LN: { p: [{ n: "number" }] }, LOG: { p: [{ n: "number" }, { n: "base", m: "?" }] }, LOG10: { p: [{ n: "number" }] }, MDETERM: { p: [{ n: "array", d: 2 }] }, MINVERSE: { p: [{ n: "array", d: 2 }] }, MMULT: { p: [{ n: "array1", s: "z", d: 2 }, { n: "array2", s: "z", d: 2 }] }, MOD: { p: [{ n: "number" }, { n: "divisor" }] }, MROUND: { p: [{ n: "number" }, { n: "multiple" }] }, MULTINOMIAL: { p: [{ n: "number", d: 1, m: "..." }] }, MUNIT: { p: [{ n: "dimension" }] }, ODD: { p: [{ n: "number" }] }, PI: {}, POWER: { p: [{ n: "number" }, { n: "power" }] }, PRODUCT: { p: [{ n: "number", s: "n", r: "l", d: 1, m: "..." }] }, QUOTIENT: { p: [{ n: "numerator" }, { n: "denominator" }] }, RADIANS: { p: [{ n: "angle" }] }, RAND: {}, RANDARRAY: { p: [{ n: "rows", m: "?" }, { n: "columns", m: "?" }, { n: "min", m: "?" }, { n: "max", m: "?" }, { n: "integer", s: "b", m: "?" }] }, RANDBETWEEN: { p: [{ n: "bottom" }, { n: "top" }] }, ROMAN: { p: [{ n: "number" }, { n: "form", m: "?" }] }, ROUND: { p: [{ n: "number" }, { n: "numDigits" }] }, ROUNDDOWN: { p: [{ n: "number" }, { n: "numDigits" }] }, ROUNDUP: { p: [{ n: "number" }, { n: "numDigits" }] }, SEQUENCE: { p: [{ n: "rows" }, { n: "columns", m: "?" }, { n: "start", m: "?" }, { n: "step", m: "?" }] }, SERIESSUM: { p: [{ n: "x" }, { n: "n" }, { n: "m" }, { n: "coefficients", d: 1, m: "..." }] }, SIGN: { p: [{ n: "number" }] }, SQRT: { p: [{ n: "number" }] }, SQRTPI: { p: [{ n: "number" }] }, SUBTOTAL: { p: [{ n: "functionNum" }, { n: "ref", r: "l", d: 1, m: "..." }] }, SUM: { p: [{ n: "number", s: "n", r: "l", d: 1, m: "..." }] }, SUMIF: { p: [{ n: "range", r: "l" }, { n: "criteria", r: "l" }, { n: "sumRange", r: "r", m: "?" }] }, SUMIFS: { p: [{ n: "sumRange", r: "l" }, { n: "criteriaRange", r: "r" }, { n: "criteria", r: "l" }] }, SUMPRODUCT: { p: [{ n: "array1", s: "z", d: 2 }, { n: "rest", s: "z", d: 3, m: "..." }] }, SUMSQ: { p: [{ n: "number", r: "l", d: 1, m: "..." }] }, SUMX2MY2: { p: [{ n: "arrayX", s: "z", d: 2 }, { n: "arrayY", s: "z", d: 2 }] }, SUMX2PY2: { p: [{ n: "arrayX", s: "z", d: 2 }, { n: "arrayY", s: "z", d: 2 }] }, SUMXMY2: { p: [{ n: "arrayX", s: "z", d: 2 }, { n: "arrayY", s: "z", d: 2 }] }, TRUNC: { p: [{ n: "number" }, { n: "numDigits", m: "?" }] } }, ze = { ACOS: { p: [{ n: "number" }] }, ACOSH: { p: [{ n: "number" }] }, ACOT: { p: [{ n: "number" }] }, ACOTH: { p: [{ n: "number" }] }, ASIN: { p: [{ n: "number" }] }, ASINH: { p: [{ n: "number" }] }, ATAN: { p: [{ n: "number" }] }, ATAN2: { p: [{ n: "x" }, { n: "y" }] }, ATANH: { p: [{ n: "number" }] }, COS: { p: [{ n: "number" }] }, COSH: { p: [{ n: "number" }] }, COT: { p: [{ n: "number" }] }, COTH: { p: [{ n: "number" }] }, CSC: { p: [{ n: "number" }] }, CSCH: { p: [{ n: "number" }] }, SEC: { p: [{ n: "number" }] }, SECH: { p: [{ n: "number" }] }, SIN: { p: [{ n: "number" }] }, SINH: { p: [{ n: "number" }] }, TAN: { p: [{ n: "number" }] }, TANH: { p: [{ n: "number" }] } }, We = { "BETA.DIST": { fn: "BETA_DIST", p: [{ n: "x" }, { n: "alpha" }, { n: "beta" }, { n: "cumulative", s: "b" }, { n: "a", m: "?" }, { n: "b", m: "?" }] }, BETADIST: { p: [{ n: "x" }, { n: "alpha" }, { n: "beta" }, { n: "cumulative", s: "b" }, { n: "a", m: "?" }, { n: "b", m: "?" }] }, "BETA.INV": { fn: "BETA_INV", p: [{ n: "probability" }, { n: "alpha" }, { n: "beta" }, { n: "a", m: "?" }, { n: "b", m: "?" }] }, BETAINV: { p: [{ n: "probability" }, { n: "alpha" }, { n: "beta" }, { n: "a", m: "?" }, { n: "b", m: "?" }] }, "BINOM.DIST": { fn: "BINOM_DIST", p: [{ n: "numberS" }, { n: "trials" }, { n: "probabilityS" }, { n: "cumulative", s: "b" }] }, BINOMDIST: { p: [{ n: "numberS" }, { n: "trials" }, { n: "probabilityS" }, { n: "cumulative", s: "b" }] }, "BINOM.DIST.RANGE": { fn: "BINOM_DIST_RANGE", p: [{ n: "trials" }, { n: "probabilityS" }, { n: "numberS" }, { n: "numberS2", m: "?" }] }, "BINOM.INV": { fn: "BINOM_INV", p: [{ n: "trials" }, { n: "probabilityS" }, { n: "alpha" }] }, "CHISQ.DIST": { fn: "CHISQ_DIST", p: [{ n: "x" }, { n: "degFreedom" }, { n: "cumulative", s: "b", m: "?" }] }, CHIDIST: { p: [{ n: "x" }, { n: "degFreedom" }] }, "CHISQ.DIST.RT": { fn: "CHISQ_DIST_RT", p: [{ n: "x" }, { n: "degFreedom" }] }, "CHISQ.INV": { fn: "CHISQ_INV", p: [{ n: "probability" }, { n: "degFreedom" }] }, CHIINV: { p: [{ n: "probability" }, { n: "degFreedom" }] }, "CHISQ.INV.RT": { fn: "CHISQ_INV_RT", p: [{ n: "probability" }, { n: "degFreedom" }] }, "CHISQ.TEST": { fn: "CHISQ_TEST", p: [{ n: "actualRange", s: "z", d: 2 }, { n: "expectedRange", s: "z", d: 2 }] }, CHITEST: { p: [{ n: "actualRange", s: "z", d: 2 }, { n: "expectedRange", s: "z", d: 2 }] }, "CONFIDENCE.NORM": { fn: "CONFIDENCE_NORM", p: [{ n: "alpha" }, { n: "standardDev" }, { n: "size" }] }, CONFIDENCE: { p: [{ n: "alpha" }, { n: "std" }, { n: "dev" }, { n: "size" }] }, "CONFIDENCE.T": { fn: "CONFIDENCE_T", p: [{ n: "alpha" }, { n: "standardDev" }, { n: "size" }] }, CORREL: { p: [{ n: "array1", s: "z", d: 1 }, { n: "array2", s: "z", d: 1 }] }, "COVARIANCE.P": { fn: "COVARIANCE_P", p: [{ n: "array1", s: "z", d: 1 }, { n: "array2", s: "z", d: 1 }] }, COVARIANCE: { p: [{ n: "array1", s: "z", d: 1 }, { n: "array2", s: "z", d: 1 }] }, "COVARIANCE.S": { fn: "COVARIANCE_S", p: [{ n: "array1", s: "z", d: 1 }, { n: "array2", s: "z", d: 1 }] }, CRITBINOM: { p: [{ n: "trails", s: "z", d: 2 }, { n: "probabilityS" }, { n: "alpha" }] }, DEVSQ: { p: [{ n: "number", s: "n", r: "l", d: 1, m: "..." }] }, "EXPON.DIST": { fn: "EXPON_DIST", p: [{ n: "x" }, { n: "lambda" }, { n: "cumulative", s: "b" }] }, EXPONDIST: { p: [{ n: "x" }, { n: "lambda" }, { n: "cumulative", s: "b" }] }, "F.DIST": { fn: "F_DIST", p: [{ n: "x" }, { n: "degFreedom1" }, { n: "degFreedom2" }, { n: "cumulative", s: "b" }] }, FDIST: { p: [{ n: "x" }, { n: "degFreedom1" }, { n: "degFreedom2" }] }, "F.DIST.RT": { fn: "F_DIST_RT", p: [{ n: "x" }, { n: "degFreedom1" }, { n: "degFreedom2" }] }, "F.INV": { fn: "F_INV", p: [{ n: "probability" }, { n: "degFreedom1" }, { n: "degFreedom2" }] }, FINV: { p: [{ n: "probability" }, { n: "degFreedom1" }, { n: "degFreedom2" }] }, "F.INV.RT": { fn: "F_INV_RT", p: [{ n: "probability" }, { n: "degFreedom1" }, { n: "degFreedom2" }] }, "F.TEST": { fn: "F_TEST", p: [{ n: "array1", s: "z", d: 1 }, { n: "array2", s: "z", d: 1 }] }, FTEST: { p: [{ n: "array1", s: "z", d: 1 }, { n: "array2", s: "z", d: 1 }] }, FISHER: { p: [{ n: "x" }] }, FISHERINV: { p: [{ n: "y" }] }, FORECAST: { p: [{ n: "x" }, { n: "knownYs", s: "z", d: 1, m: "?" }, { n: "knownXs", s: "z", d: 1, m: "?" }] }, "FORECAST.ETS": { fn: "FORECAST_ETS", p: [{ n: "targetDate" }, { n: "values", r: "l" }, { n: "timeline", r: "l" }, { n: "seasonality", m: "?" }, { n: "dataCompletion", m: "?" }, { n: "aggregation", m: "?" }] }, "FORECAST.ETS.CONFINT": { fn: "FORECAST_ETS_CONFINT", p: [{ n: "targetDate" }, { n: "values", r: "l" }, { n: "timeline", r: "l" }, { n: "confiedenceLevel", m: "?" }, { n: "seasonality", m: "?" }, { n: "dataCompletion", m: "?" }, { n: "aggregation", m: "?" }] }, "FORECAST.ETS.SEASONALITY": { fn: "FORECAST_ETS_SEASONALITY", p: [{ n: "values", r: "l" }, { n: "timeline", r: "l" }, { n: "dataCompletion", m: "?" }, { n: "aggregation", m: "?" }] }, "FORECAST.ETS.STAT": { fn: "FORECAST_ETS_STAT", p: [{ n: "values", r: "l" }, { n: "timeline", r: "l" }, { n: "statisticType" }, { n: "seasonality", m: "?" }, { n: "dataCompletion", m: "?" }, { n: "aggregation", m: "?" }] }, "FORECAST.LINEAR": { fn: "FORECAST_LINEAR", p: [{ n: "x" }, { n: "knownYs", s: "z", d: 1 }, { n: "knownXs", s: "z", d: 1, m: "?" }] }, FREQUENCY: { p: [{ n: "dataArray", s: "z", d: 2 }, { n: "binsArray", s: "z", d: 2 }] }, GAMMA: { p: [{ n: "x" }] }, "GAMMA.DIST": { fn: "GAMMA_DIST", p: [{ n: "x" }, { n: "alpha" }, { n: "beta" }, { n: "cumulative", s: "b", m: "?" }] }, "GAMMA.INV": { fn: "GAMMA_INV", p: [{ n: "probability" }, { n: "alpha" }, { n: "beta" }] }, GAMMALN: { p: [{ n: "x" }] }, "GAMMALN.PRECISE": { fn: "GAMMALN_PRECISE", p: [{ n: "x" }] }, GAUSS: { p: [{ n: "x" }] }, GEOMEAN: { p: [{ n: "number", s: "n", r: "l", d: 1, m: "..." }] }, GROWTH: { p: [{ n: "knownYs", s: "z", d: 1 }, { n: "knownXs", s: "z", d: 1, m: "?" }, { n: "newXs", s: "z", d: 2, m: "?" }, { n: "useConst", s: "b", m: "?" }] }, HARMEAN: { p: [{ n: "number", s: "n", r: "l", d: 1, m: "..." }] }, "HYPGEOM.DIST": { fn: "HYPGEOM_DIST", p: [{ n: "sampleS" }, { n: "numberSample" }, { n: "populationS" }, { n: "numberPop" }, { n: "cumulative", s: "b" }] }, INTERCEPT: { p: [{ n: "knownYs", s: "z", d: 1 }, { n: "knownXs", s: "z", d: 1 }] }, KURT: { p: [{ n: "number", s: "n", r: "l", d: 1, m: "..." }] }, LINEST: { p: [{ n: "knownYs", r: "l" }, { n: "knownXs", r: "l", m: "?" }, { n: "constant", s: "b", m: "?" }, { n: "stats", s: "b", m: "?" }] }, LOGEST: { p: [{ n: "knownYs", r: "l" }, { n: "knownXs", r: "l", m: "?" }, { n: "constant", s: "b", m: "?" }, { n: "stats", s: "b", m: "?" }] }, "LOGNORM.DIST": { fn: "LOGNORM_DIST", p: [{ n: "x" }, { n: "mean" }, { n: "standardDev" }, { n: "cumulative", s: "b" }] }, "LOGNORM.INV": { fn: "LOGNORM_INV", p: [{ n: "probability" }, { n: "mean" }, { n: "standardDev" }] }, "MODE.MULT": { fn: "MODE_MULT", p: [{ n: "number", r: "l", d: 1, m: "..." }] }, "MODE.SNGL": { fn: "MODE_SNGL", p: [{ n: "number", r: "l", d: 1, m: "..." }] }, "NEGBINOM.DIST": { fn: "NEGBINOM_DIST", p: [{ n: "numberF" }, { n: "numberS" }, { n: "probabilityS" }, { n: "cumulative", s: "b" }] }, "NORM.DIST": { fn: "NORM_DIST", p: [{ n: "x" }, { n: "mean" }, { n: "standardDev" }, { n: "cumulative", s: "b" }] }, "NORM.INV": { fn: "NORM_INV", p: [{ n: "probability" }, { n: "mean" }, { n: "standardDev" }] }, "NORM.S.DIST": { fn: "NORM_S_DIST", p: [{ n: "z" }, { n: "cumulative", s: "b" }] }, "NORM.S.INV": { fn: "NORM_S_INV", p: [{ n: "probability" }] }, PEARSON: { p: [{ n: "array1", r: "l" }, { n: "array2", r: "l" }] }, "PERCENTILE.EXC": { fn: "PERCENTILE_EXC", p: [{ n: "array", r: "l" }, { n: "k" }] }, "PERCENTILE.INC": { fn: "PERCENTILE_INC", p: [{ n: "array", r: "l" }, { n: "k" }] }, "PERCENTRANK.EXC": { fn: "PERCENTRANK_EXC", p: [{ n: "array", r: "l" }, { n: "x" }, { n: "significance", m: "?" }] }, "PERCENTRANK.INC": { fn: "PERCENTRANK_INC", p: [{ n: "array", r: "l" }, { n: "x" }, { n: "significance", m: "?" }] }, PHI: { p: [{ n: "x" }] }, "POISSON.DIST": { fn: "POISSON_DIST", p: [{ n: "x" }, { n: "mean" }, { n: "cumulative", s: "b" }] }, PROB: { p: [{ n: "xRange", r: "l" }, { n: "probRange", r: "l" }, { n: "lowerLimit" }, { n: "upperLimit", m: "?" }] }, "QUARTILE.EXC": { fn: "QUARTILE_EXC", p: [{ n: "array", r: "l" }, { n: "quart" }] }, "QUARTILE.INC": { fn: "QUARTILE_INC", p: [{ n: "array", r: "l" }, { n: "quart" }] }, "RANK.AVG": { fn: "RANK_AVG", p: [{ n: "number" }, { n: "ref", r: "l" }, { n: "order", m: "?" }] }, "RANK.EQ": { fn: "RANK_EQ", p: [{ n: "number" }, { n: "ref", r: "l" }, { n: "order", m: "?" }] }, RSQ: { p: [{ n: "knownYs", s: "z", d: 1 }, { n: "knownXs", s: "z", d: 1 }] }, SKEW: { p: [{ n: "number", r: "l", d: 1, m: "..." }] }, "SKEW.P": { fn: "SKEW_P", p: [{ n: "number", r: "l", d: 1, m: "..." }] }, SLOPE: { p: [{ n: "knownYs", r: "l" }, { n: "knownXs", r: "l" }] }, STANDARDIZE: { p: [{ n: "x" }, { n: "mean" }, { n: "standardDev" }] }, "STDEV.P": { fn: "STDEV_P", p: [{ n: "number", s: "n", r: "l", d: 1, m: "..." }] }, "STDEV.S": { fn: "STDEV_S", p: [{ n: "number", s: "n", r: "l", d: 1, m: "..." }] }, STDEVA: { p: [{ n: "value", r: "l", d: 1, m: "..." }] }, STDEVPA: { p: [{ n: "value", r: "l", d: 1, m: "..." }] }, STEYX: { p: [{ n: "knownYs", s: "z", d: 1 }, { n: "knownXs", s: "z", d: 1 }] }, "T.DIST": { fn: "T_DIST", p: [{ n: "x" }, { n: "degFreedom" }, { n: "cumulative", s: "b" }] }, "T.DIST.2T": { fn: "T_DIST_2T", p: [{ n: "x" }, { n: "degFreedom" }] }, "T.DIST.RT": { fn: "T_DIST_RT", p: [{ n: "x" }, { n: "degFreedom" }] }, "T.INV": { fn: "T_INV", p: [{ n: "probability" }, { n: "degFreedom" }] }, "T.INV.2T": { fn: "T_INV_2T", p: [{ n: "probability" }, { n: "degFreedom" }] }, "T.TEST": { fn: "T_TEST", p: [{ n: "array1", r: "l" }, { n: "array2", r: "l" }, { n: "tails" }, { n: "type" }] }, TREND: { p: [{ n: "knownYs", s: "z", d: 1 }, { n: "knownXs", s: "z", d: 1, m: "?" }, { n: "newXs", s: "z", d: 1, m: "?" }, { n: "consts", s: "b", m: "?" }] }, TRIMMEAN: { p: [{ n: "array", r: "l" }, { n: "percent", r: "l" }] }, "VAR.P": { fn: "VAR_P", p: [{ n: "number", s: "n", r: "l", d: 1, m: "..." }] }, "VAR.S": { fn: "VAR_S", p: [{ n: "number", s: "n", r: "l", d: 1, m: "..." }] }, VARA: { p: [{ n: "value", r: "l", d: 1, m: "..." }] }, VARPA: { p: [{ n: "value", r: "l", d: 1, m: "..." }] }, "WEIBULL.DIST": { fn: "WEIBULL_DIST", p: [{ n: "x" }, { n: "alpha" }, { n: "beta" }, { n: "cumulative", s: "b" }] }, "Z.TEST": { fn: "Z_TEST", p: [{ n: "array", r: "l" }, { n: "x" }, { n: "sigma", m: "?" }] } }, je = { AVEDEV: { p: [{ n: "number", s: "n", r: "l", d: 1, m: "..." }] }, AVERAGE: { p: [{ n: "number", s: "n", r: "l", d: 1, m: "..." }] }, AVERAGEA: { p: [{ n: "value", s: "n", r: "l", d: 1, m: "..." }] }, AVERAGEIF: { p: [{ n: "range", r: "l" }, { n: "criteria", r: "l" }, { n: "averageRange", r: "r", m: "?" }] }, AVERAGEIFS: { p: [{ n: "averageRange", r: "l" }, { n: "criteriaRange", r: "l" }, { n: "criteria", r: "l", d: 1, m: "..." }] }, COUNT: { p: [{ n: "number", s: "n", r: "l", d: 1, m: "..." }] }, COUNTA: { p: [{ n: "value", s: "n", r: "l", d: 1, m: "..." }] }, COUNTBLANK: { p: [{ n: "range", r: "l" }] }, COUNTIF: { p: [{ n: "range", r: "l" }, { n: "criteria", r: "l" }] }, COUNTIFS: { p: [{ n: "criteriaRange", r: "l" }, { n: "criteria", r: "l" }] }, LARGE: { p: [{ n: "array", s: "n", r: "l" }, { n: "k" }] }, MAX: { p: [{ n: "number", s: "n", r: "l", d: 1, m: "..." }] }, MAXA: { p: [{ n: "value", r: "l", d: 1, m: "..." }] }, MAXIFS: { p: [{ n: "maxRange", r: "l" }, { n: "criteriaRange", r: "l" }, { n: "criteria", r: "l", d: 1, m: "..." }] }, MEDIAN: { p: [{ n: "number", s: "n", r: "l", d: 1, m: "..." }] }, MIN: { p: [{ n: "number", s: "n", r: "l", d: 1, m: "..." }] }, MINA: { p: [{ n: "value", r: "l", d: 1, m: "..." }] }, MINIFS: { p: [{ n: "maxRange", r: "l" }, { n: "criteriaRange", r: "l" }, { n: "criteria", r: "l", d: 1, m: "..." }] }, PERMUT: { p: [{ n: "number" }, { n: "numberChoosen" }] }, PERMUTATIONA: { p: [{ n: "number" }, { n: "numberChoosen" }] }, SMALL: { p: [{ n: "array", s: "n", r: "l" }, { n: "k" }] } }, Ke = { DELAY: { p: [{ n: "time" }, { n: "input", s: "*" }, { n: "label", s: "s", m: "?" }] }, WAIT: { p: [{ n: "type", s: "s" }, { n: "input", r: "l", m: "?" }] } }, $e = { BAHTTEXT: { p: [{ n: "number" }] } }, Qe = { ASC: { p: [{ n: "text", s: "s" }] }, ARRAYTOTEXT: { p: [{ n: "array", r: "l" }, { n: "format", m: "?" }] }, CHAR: { p: [{ n: "number" }] }, CLEAN: { p: [{ n: "text", s: "s" }] }, CODE: { p: [{ n: "text", s: "s" }] }, CONCAT: { p: [{ n: "text", r: "l", d: 1, m: "..." }] }, CONCATENATE: { p: [{ n: "text", r: "l", d: 1, m: "..." }] }, DETECTLANGUAGE: { p: [{ n: "text", s: "s" }] }, DBCS: { p: [{ n: "text", s: "s" }] }, DOLLAR: { p: [{ n: "number" }, { n: "decimals", m: "?" }] }, EXACT: { p: [{ n: "text1", s: "s" }, { n: "text2", s: "s" }] }, FIND: { p: [{ n: "findText", s: "s" }, { n: "withinText", s: "s" }, { n: "startNum", m: "?" }] }, FINDB: { p: [{ n: "findText", s: "s" }, { n: "withinText", s: "s" }, { n: "startNum", m: "?" }] }, FIXED: { p: [{ n: "number" }, { n: "decimals", m: "?" }, { n: "noCommas", s: "b", m: "?" }] }, LEFT: { p: [{ n: "text", s: "s" }, { n: "numChars", m: "?" }] }, LEFTB: { p: [{ n: "text", s: "s" }, { n: "numBytes", m: "?" }] }, LEN: { p: [{ n: "text", s: "s" }] }, LENB: { p: [{ n: "text", s: "s" }] }, LOWER: { p: [{ n: "text", s: "s" }] }, MID: { p: [{ n: "text", s: "s" }, { n: "startNum" }, { n: "numChars" }] }, MIDB: { p: [{ n: "text", s: "s" }, { n: "startNum" }, { n: "numBytes" }] }, NUMBERVALUE: { p: [{ n: "text", s: "s" }, { n: "decimalSeparator", s: "s", m: "?" }, { n: "groupSeparator", s: "s", m: "?" }] }, PERCENTOF: { p: [{ n: "dataSubset", r: "l" }, { n: "dataAll", r: "l" }] }, PHONETIC: { p: [{ n: "reference", r: "r" }] }, PROPER: { p: [{ n: "text", s: "s" }] }, REGEXEXTRACT: { p: [{ n: "text", s: "s" }, { n: "pattern", s: "s" }, { n: "returnMode", m: "?" }, { n: "caseSensitivity", s: "b", m: "?" }] }, REGEXREPLACE: { p: [{ n: "text", s: "s" }, { n: "pattern", s: "s" }, { n: "replacement", s: "s" }, { n: "occurrence", m: "?" }, { n: "caseSensitivity", s: "b", m: "?" }] }, REGEXTEST: { p: [{ n: "text", s: "s" }, { n: "pattern", s: "s" }, { n: "caseSensitivity", s: "b", m: "?" }] }, REPLACE: { p: [{ n: "oldText", s: "s" }, { n: "startNum" }, { n: "numChars" }, { n: "newText", s: "s" }] }, REPLACEB: { p: [{ n: "oldText", s: "s" }, { n: "startNum" }, { n: "numBytes" }, { n: "newText", s: "s" }] }, REPT: { p: [{ n: "text", s: "s" }, { n: "numberTimes" }] }, RIGHT: { p: [{ n: "text", s: "s" }, { n: "numChars", m: "?" }] }, RIGHTB: { p: [{ n: "text", s: "s" }, { n: "numBytes", m: "?" }] }, SEARCH: { p: [{ n: "findText", s: "s" }, { n: "withinText", s: "s" }, { n: "startNum", m: "?" }] }, SEARCHB: { p: [{ n: "findText", s: "s" }, { n: "withinText", s: "s" }, { n: "startBytes", m: "?" }] }, SUBSTITUTE: { p: [{ n: "text", s: "s" }, { n: "oldText", s: "s" }, { n: "newText", s: "s" }, { n: "instanceNum", m: "?" }] }, T: { p: [{ n: "value", s: "*" }] }, TEXT: { p: [{ n: "value", s: "*" }, { n: "formatText", s: "s" }] }, TEXTAFTER: { p: [{ n: "text", s: "s" }, { n: "delimiter", s: "s" }, { n: "instanceNum", m: "?" }, { n: "matchMode", m: "?" }, { n: "matchEnd", m: "?" }, { n: "ifNotFound", s: "s", m: "?" }] }, TEXTJOIN: { p: [{ n: "delimiter", s: "s" }, { n: "ignoreEmpty", s: "b" }, { n: "text", r: "l", d: 1, m: "..." }] }, TEXTSPLIT: { p: [{ n: "text", s: "s" }, { n: "colDelimiter", s: "s", d: 1 }, { n: "rowDelimiter", s: "s", d: 1, m: "?" }, { n: "ignoreEmpty", s: "b", m: "?" }, { n: "matchMode", m: "?" }, { n: "padWith", s: "s", m: "?" }] }, TEXTBEFORE: { p: [{ n: "text", s: "s" }, { n: "delimiter", s: "s" }, { n: "instanceNum", m: "?" }, { n: "matchMode", m: "?" }, { n: "matchEnd", m: "?" }, { n: "ifNotFound", s: "s", m: "?" }] }, TRANSLATE: { p: [{ n: "text", s: "s" }, { n: "sourceLanguage", s: "s" }, { n: "targetLanguage", s: "s" }] }, TRIM: { p: [{ n: "text", s: "s" }] }, UNICHAR: { p: [{ n: "number" }] }, UNICODE: { p: [{ n: "text", s: "s" }] }, UPPER: { p: [{ n: "text", s: "s" }] }, VALUE: { p: [{ n: "text", s: "s" }] }, VALUETOTEXT: { p: [{ n: "value", s: "*" }, { n: "format", m: "?" }] } }, Ze = { FILTERXML: { p: [{ n: "xml", s: "s" }, { n: "xpath", s: "s" }] } }, Je = { ENCODEURL: { p: [{ n: "text", s: "s" }] }, WEBSERVICE: { p: [{ n: "url", s: "s" }] } }, nr = () => import("./a_LQ18tLbXq3N9hu.mjs"), tr = () => import("./C__wCYJcwKkBqp8t.mjs"), er = () => import("./JGdZf2WBzvkRao7-.mjs"), rr = () => import("./D7tUJDQqPM4e3FEC.mjs"), ur = () => import("./Bzw2Xms8ZtifZcAF.mjs"), or = () => import("./Dx0TIy0V5EVTNOEZ.mjs"), ar = () => import("./DwfM2tfEPAzMl86c.mjs"), ir = () => import("./8Cdp6eg5fQM4U0CD.mjs"), lr = () => import("./Cou0jxSdkKrqQBPA.mjs"), sr = () => import("./DB5Wpq1m-bJ7gpBF.mjs"), fr = () => import("./hXx5ZKLpc4RvmCjH.mjs"), cr = () => import("./PjtmxdNFMVskYmPB.mjs"), mr = () => import("./NAcqiYlYK4mm9q_F.mjs"), pr = () => import("./E0SwR3N6qggAhdBh.mjs"), hr = () => import("./CUqge0vhYI_M8Hpg.mjs"), gr = () => import("./CtGy0C3HHvNhQ3j5.mjs"), dr = () => import("./CQXqHgLFDd57bQSy.mjs"), Nr = () => import("./C9ojFSLlGrdG3EDE.mjs"), br = () => import("./NGg21AIVBhRCHoOh.mjs"), Er = () => import("./CPxdCZqGhuQENst8.mjs"), Ir = () => import("./DTlPJulnTLqG3WSw.mjs"), Tr = () => import("./Ctol2MswJyCxIJcQ.mjs");
function Rr(t) {
return (function(n, e) {
const o = /* @__PURE__ */ new Map();
return e(o, n, Wt, xe, nr, "Cube"), e(o, n, jt, _e, tr, "Database"), e(o, n, ee, Be, er, "Date & Time"), e(o, n, re, Ue, rr, "Engineering"), e(o, n, ue, Le, ur, "Engineering"), e(o, n, oe, Pe, or, "Engineering"), e(o, n, ae, Ve, ar, "Engineering"), e(o, n, le, Fe, ir, "Engineering"), e(o, n, me, He, lr, "Engineering"), e(o, n, pe, Ge, sr, "Financial"), e(o, n, he, Xe, fr, "Information"), e(o, n, de, Ye, cr, "Logical"), e(o, n, Ne, qe, mr, "Lookup & Reference"), e(o, n, be, ke, pr, "Math & Trig"), e(o, n, Ee, ze, hr, "Math & Trig"), e(o, n, Te, We, gr, "Statistical"), e(o, n, Ie, je, dr, "Statistical"), e(o, n, Ae, Ke, Nr, "Testing"), e(o, n, Re, $e, br, "Text"), e(o, n, Ce, Qe, Er, "Text"), e(o, n, Oe, Ze, Ir, "Web"), e(o, n, De, Je, Tr, "Web"), o;
})(t, Mr);
}
const Mr = (t, n, e, o, i, c) => {
const l = Object.keys(o);
for (const r of l) {
const u = o[r], a = r, f = [], s = u.p;
if (s) for (let h = 0; h < s.length; h++) {
const d = s[h];
let b = null;
d.s ? b = d.s : d.r || (b = W.Number);
const E = { name: d.n, scalar: b, range: d.r ?? null, arrayDepth: d.d ?? 0, optional: d.m === "?", rest: d.m === "...", enums: d.e ?? An.EmptyArray };
delete E.dim, f.push(E);
}
const m = { name: a, parameters: f, returnType: null, context: u.c ? "calculation" : null, behavior: null }, p = e[u.fn ?? a];
let g;
const N = new zt(m, p, n, async (h) => {
if (!i) return null;
let d;
g || (d = (await i()).default, g = d);
const b = d?.[a];
if (!b) return console.warn(`No descriptor found for built-in function: ${a}`), null;
const E = b.p;
let T = E ? { ...E } : An.EmptyObject;
const S = Object.keys(T);
if (S.length > 0) for (let M = 0; M < S.length; M++) {
const A = S[M], R = E[A], O = { description: R.d ?? "", example: R.e, defaultValue: R.v };
T[A] = O;
}
return { name: a, summary: b.s ?? "", category: b.c ?? c ?? null, parameters: T, hidden: b.h ?? !1, links: b.l ?? An.EmptyArray };
}, !0);
t.set(a, N);
}
};
export {
Rr as initializeBuiltIns
};