diff --git a/dist/roughviz.es.js b/dist/roughviz.es.js
new file mode 100644
index 0000000..459a903
--- /dev/null
+++ b/dist/roughviz.es.js
@@ -0,0 +1,4156 @@
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+ };
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+ };
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+ } };
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+ typeof document < "u" && ("onmouseenter" in document.documentElement || (Us = { mouseenter: "mouseover", mouseleave: "mouseout" }));
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+ t.call(this, this.__data__, e, i);
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+ }
+ };
+ }
+ function Oh(t) {
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+ }, selectAll: function(t) {
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+ }
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+ }, exit: function() {
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+ r[a] = e[a];
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+ }, order: function() {
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+ }, sort: function(t) {
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+ t || (t = hh);
+ for (var i = this._groups, s = i.length, n = new Array(s), h = 0; h < s; ++h) {
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+ return new K(n, this._parents).order();
+ }, call: function() {
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+ return arguments[0] = this, t.apply(null, arguments), this;
+ }, nodes: function() {
+ var t = new Array(this.size()), e = -1;
+ return this.each(function() {
+ t[++e] = this;
+ }), t;
+ }, node: function() {
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+ for (var s = t[e], n = 0, h = s.length; n < h; ++n) {
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+ return r;
+ }
+ return null;
+ }, size: function() {
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+ }), t;
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+ if (!t.match(/^(([-+]?[0-9]+(\.[0-9]*)?|[-+]?\.[0-9]+)([eE][-+]?[0-9]+)?)/))
+ return [];
+ e[e.length] = { type: this.NUMBER, text: `${parseFloat(RegExp.$1)}` }, t = t.substr(RegExp.$1.length);
+ }
+ return e[e.length] = { type: this.EOD, text: "" }, e;
+ }
+ parseData(t) {
+ const e = this.tokenize(t);
+ let i = 0, s = e[i], n = "BOD";
+ for (this.segments = new Array(); !Ie(s, this.EOD); ) {
+ let h;
+ const r = new Array();
+ if (n === "BOD") {
+ if (s.text !== "M" && s.text !== "m")
+ return void this.parseData("M0,0" + t);
+ i++, h = _t[s.text], n = s.text;
+ } else
+ Ie(s, this.NUMBER) ? h = _t[n] : (i++, h = _t[s.text], n = s.text);
+ if (i + h < e.length) {
+ for (let a = i; a < i + h; a++) {
+ const o = e[a];
+ if (!Ie(o, this.NUMBER))
+ return void console.error("Param not a number: " + n + "," + o.text);
+ r[r.length] = +o.text;
+ }
+ if (typeof _t[n] != "number")
+ return void console.error("Bad segment: " + n);
+ {
+ const a = { key: n, data: r };
+ this.segments.push(a), i += h, s = e[i], n === "M" && (n = "L"), n === "m" && (n = "l");
+ }
+ } else
+ console.error("Path data ended short");
+ }
+ }
+ get closed() {
+ if (this._closed === void 0) {
+ this._closed = !1;
+ for (const t of this.segments)
+ t.key.toLowerCase() === "z" && (this._closed = !0);
+ }
+ return this._closed;
+ }
+ processPoints() {
+ let t = null, e = [0, 0];
+ for (let i = 0; i < this.segments.length; i++) {
+ const s = this.segments[i];
+ switch (s.key) {
+ case "M":
+ case "L":
+ case "T":
+ s.point = [s.data[0], s.data[1]];
+ break;
+ case "m":
+ case "l":
+ case "t":
+ s.point = [s.data[0] + e[0], s.data[1] + e[1]];
+ break;
+ case "H":
+ s.point = [s.data[0], e[1]];
+ break;
+ case "h":
+ s.point = [s.data[0] + e[0], e[1]];
+ break;
+ case "V":
+ s.point = [e[0], s.data[0]];
+ break;
+ case "v":
+ s.point = [e[0], s.data[0] + e[1]];
+ break;
+ case "z":
+ case "Z":
+ t && (s.point = [t[0], t[1]]);
+ break;
+ case "C":
+ s.point = [s.data[4], s.data[5]];
+ break;
+ case "c":
+ s.point = [s.data[4] + e[0], s.data[5] + e[1]];
+ break;
+ case "S":
+ case "Q":
+ s.point = [s.data[2], s.data[3]];
+ break;
+ case "s":
+ case "q":
+ s.point = [s.data[2] + e[0], s.data[3] + e[1]];
+ break;
+ case "A":
+ s.point = [s.data[5], s.data[6]];
+ break;
+ case "a":
+ s.point = [s.data[5] + e[0], s.data[6] + e[1]];
+ }
+ s.key !== "m" && s.key !== "M" || (t = null), s.point && (e = s.point, t || (t = s.point)), s.key !== "z" && s.key !== "Z" || (t = null);
+ }
+ }
+ };
+ class rs {
+ constructor(e) {
+ this._position = [0, 0], this._first = null, this.bezierReflectionPoint = null, this.quadReflectionPoint = null, this.parsed = new Zh(e);
+ }
+ get segments() {
+ return this.parsed.segments;
+ }
+ get closed() {
+ return this.parsed.closed;
+ }
+ get linearPoints() {
+ if (!this._linearPoints) {
+ const e = [];
+ let i = [];
+ for (const s of this.parsed.segments) {
+ const n = s.key.toLowerCase();
+ (n !== "m" && n !== "z" || (i.length && (e.push(i), i = []), n !== "z")) && s.point && i.push(s.point);
+ }
+ i.length && (e.push(i), i = []), this._linearPoints = e;
+ }
+ return this._linearPoints;
+ }
+ get first() {
+ return this._first;
+ }
+ set first(e) {
+ this._first = e;
+ }
+ setPosition(e, i) {
+ this._position = [e, i], this._first || (this._first = [e, i]);
+ }
+ get position() {
+ return this._position;
+ }
+ get x() {
+ return this._position[0];
+ }
+ get y() {
+ return this._position[1];
+ }
+ }
+ class Nh {
+ constructor(e, i, s, n, h, r) {
+ if (this._segIndex = 0, this._numSegs = 0, this._rx = 0, this._ry = 0, this._sinPhi = 0, this._cosPhi = 0, this._C = [0, 0], this._theta = 0, this._delta = 0, this._T = 0, this._from = e, e[0] === i[0] && e[1] === i[1])
+ return;
+ const a = Math.PI / 180;
+ this._rx = Math.abs(s[0]), this._ry = Math.abs(s[1]), this._sinPhi = Math.sin(n * a), this._cosPhi = Math.cos(n * a);
+ const o = this._cosPhi * (e[0] - i[0]) / 2 + this._sinPhi * (e[1] - i[1]) / 2, l = -this._sinPhi * (e[0] - i[0]) / 2 + this._cosPhi * (e[1] - i[1]) / 2;
+ let c = 0;
+ const u = this._rx * this._rx * this._ry * this._ry - this._rx * this._rx * l * l - this._ry * this._ry * o * o;
+ if (u < 0) {
+ const p = Math.sqrt(1 - u / (this._rx * this._rx * this._ry * this._ry));
+ this._rx = this._rx * p, this._ry = this._ry * p, c = 0;
+ } else
+ c = (h === r ? -1 : 1) * Math.sqrt(u / (this._rx * this._rx * l * l + this._ry * this._ry * o * o));
+ const d = c * this._rx * l / this._ry, f = -c * this._ry * o / this._rx;
+ this._C = [0, 0], this._C[0] = this._cosPhi * d - this._sinPhi * f + (e[0] + i[0]) / 2, this._C[1] = this._sinPhi * d + this._cosPhi * f + (e[1] + i[1]) / 2, this._theta = this.calculateVectorAngle(1, 0, (o - d) / this._rx, (l - f) / this._ry);
+ let g = this.calculateVectorAngle((o - d) / this._rx, (l - f) / this._ry, (-o - d) / this._rx, (-l - f) / this._ry);
+ !r && g > 0 ? g -= 2 * Math.PI : r && g < 0 && (g += 2 * Math.PI), this._numSegs = Math.ceil(Math.abs(g / (Math.PI / 2))), this._delta = g / this._numSegs, this._T = 8 / 3 * Math.sin(this._delta / 4) * Math.sin(this._delta / 4) / Math.sin(this._delta / 2);
+ }
+ getNextSegment() {
+ if (this._segIndex === this._numSegs)
+ return null;
+ const e = Math.cos(this._theta), i = Math.sin(this._theta), s = this._theta + this._delta, n = Math.cos(s), h = Math.sin(s), r = [this._cosPhi * this._rx * n - this._sinPhi * this._ry * h + this._C[0], this._sinPhi * this._rx * n + this._cosPhi * this._ry * h + this._C[1]], a = [this._from[0] + this._T * (-this._cosPhi * this._rx * i - this._sinPhi * this._ry * e), this._from[1] + this._T * (-this._sinPhi * this._rx * i + this._cosPhi * this._ry * e)], o = [r[0] + this._T * (this._cosPhi * this._rx * h + this._sinPhi * this._ry * n), r[1] + this._T * (this._sinPhi * this._rx * h - this._cosPhi * this._ry * n)];
+ return this._theta = s, this._from = [r[0], r[1]], this._segIndex++, { cp1: a, cp2: o, to: r };
+ }
+ calculateVectorAngle(e, i, s, n) {
+ const h = Math.atan2(i, e), r = Math.atan2(n, s);
+ return r >= h ? r - h : 2 * Math.PI - (h - r);
+ }
+ }
+ class Yh {
+ constructor(e, i) {
+ this.sets = e, this.closed = i;
+ }
+ fit(e) {
+ const i = [];
+ for (const n of this.sets) {
+ const h = n.length;
+ let r = Math.floor(e * h);
+ if (r < 5) {
+ if (h <= 5)
+ continue;
+ r = 5;
+ }
+ i.push(this.reduce(n, r));
+ }
+ let s = "";
+ for (const n of i) {
+ for (let h = 0; h < n.length; h++) {
+ const r = n[h];
+ s += h === 0 ? "M" + r[0] + "," + r[1] : "L" + r[0] + "," + r[1];
+ }
+ this.closed && (s += "z ");
+ }
+ return s;
+ }
+ reduce(e, i) {
+ if (e.length <= i)
+ return e;
+ const s = e.slice(0);
+ for (; s.length > i; ) {
+ let n = -1, h = -1;
+ for (let r = 1; r < s.length - 1; r++) {
+ const a = Ct([s[r - 1], s[r]]), o = Ct([s[r], s[r + 1]]), l = Ct([s[r - 1], s[r + 1]]), c = (a + o + l) / 2, u = Math.sqrt(c * (c - a) * (c - o) * (c - l));
+ (n < 0 || u < n) && (n = u, h = r);
+ }
+ if (!(h > 0))
+ break;
+ s.splice(h, 1);
+ }
+ return s;
+ }
+ }
+ function be(t, e) {
+ const i = [0, 0], s = Math.round(e.hachureAngle + 90);
+ s && Ge(t, i, s);
+ const n = function(h, r) {
+ const a = [...h];
+ a[0].join(",") !== a[a.length - 1].join(",") && a.push([a[0][0], a[0][1]]);
+ const o = [];
+ if (a && a.length > 2) {
+ let l = r.hachureGap;
+ l < 0 && (l = 4 * r.strokeWidth), l = Math.max(l, 0.1);
+ const c = [];
+ for (let f = 0; f < a.length - 1; f++) {
+ const g = a[f], p = a[f + 1];
+ if (g[1] !== p[1]) {
+ const y = Math.min(g[1], p[1]);
+ c.push({ ymin: y, ymax: Math.max(g[1], p[1]), x: y === g[1] ? g[0] : p[0], islope: (p[0] - g[0]) / (p[1] - g[1]) });
+ }
+ }
+ if (c.sort((f, g) => f.ymin < g.ymin ? -1 : f.ymin > g.ymin ? 1 : f.x < g.x ? -1 : f.x > g.x ? 1 : f.ymax === g.ymax ? 0 : (f.ymax - g.ymax) / Math.abs(f.ymax - g.ymax)), !c.length)
+ return o;
+ let u = [], d = c[0].ymin;
+ for (; u.length || c.length; ) {
+ if (c.length) {
+ let f = -1;
+ for (let g = 0; g < c.length && !(c[g].ymin > d); g++)
+ f = g;
+ c.splice(0, f + 1).forEach((g) => {
+ u.push({ s: d, edge: g });
+ });
+ }
+ if (u = u.filter((f) => !(f.edge.ymax <= d)), u.sort((f, g) => f.edge.x === g.edge.x ? 0 : (f.edge.x - g.edge.x) / Math.abs(f.edge.x - g.edge.x)), u.length > 1)
+ for (let f = 0; f < u.length; f += 2) {
+ const g = f + 1;
+ if (g >= u.length)
+ break;
+ const p = u[f].edge, y = u[g].edge;
+ o.push([[Math.round(p.x), d], [Math.round(y.x), d]]);
+ }
+ d += l, u.forEach((f) => {
+ f.edge.x = f.edge.x + l * f.edge.islope;
+ });
+ }
+ }
+ return o;
+ }(t, e);
+ return s && (Ge(t, i, -s), function(h, r, a) {
+ const o = [];
+ h.forEach((l) => o.push(...l)), Ge(o, r, a);
+ }(n, i, -s)), n;
+ }
+ class pi {
+ constructor(e) {
+ this.helper = e;
+ }
+ fillPolygon(e, i) {
+ return this._fillPolygon(e, i);
+ }
+ _fillPolygon(e, i, s = !1) {
+ const n = be(e, i);
+ return { type: "fillSketch", ops: this.renderLines(n, i, s) };
+ }
+ renderLines(e, i, s) {
+ let n = [], h = null;
+ for (const r of e)
+ n = n.concat(this.helper.doubleLineOps(r[0][0], r[0][1], r[1][0], r[1][1], i)), s && h && (n = n.concat(this.helper.doubleLineOps(h[0], h[1], r[0][0], r[0][1], i))), h = r[1];
+ return n;
+ }
+ }
+ class Vh extends pi {
+ fillPolygon(e, i) {
+ return this._fillPolygon(e, i, !0);
+ }
+ }
+ class qh extends pi {
+ fillPolygon(e, i) {
+ const s = this._fillPolygon(e, i), n = Object.assign({}, i, { hachureAngle: i.hachureAngle + 90 }), h = this._fillPolygon(e, n);
+ return s.ops = s.ops.concat(h.ops), s;
+ }
+ }
+ class Dh {
+ constructor(e) {
+ this.helper = e;
+ }
+ fillPolygon(e, i) {
+ const s = be(e, i = Object.assign({}, i, { curveStepCount: 4, hachureAngle: 0, roughness: 1 }));
+ return this.dotsOnLines(s, i);
+ }
+ dotsOnLines(e, i) {
+ let s = [], n = i.hachureGap;
+ n < 0 && (n = 4 * i.strokeWidth), n = Math.max(n, 0.1);
+ let h = i.fillWeight;
+ h < 0 && (h = i.strokeWidth / 2);
+ for (const r of e) {
+ const a = Ct(r) / n, o = Math.ceil(a) - 1, l = Math.atan((r[1][1] - r[0][1]) / (r[1][0] - r[0][0]));
+ for (let c = 0; c < o; c++) {
+ const u = n * (c + 1), d = u * Math.sin(l), f = u * Math.cos(l), g = [r[0][0] - f, r[0][1] + d], p = this.helper.randOffsetWithRange(g[0] - n / 4, g[0] + n / 4, i), y = this.helper.randOffsetWithRange(g[1] - n / 4, g[1] + n / 4, i), m = this.helper.ellipse(p, y, h, h, i);
+ s = s.concat(m.ops);
+ }
+ }
+ return { type: "fillSketch", ops: s };
+ }
+ }
+ class Hh {
+ constructor(e) {
+ this.helper = e;
+ }
+ fillPolygon(e, i) {
+ const s = be(e, i);
+ return { type: "fillSketch", ops: this.dashedLine(s, i) };
+ }
+ dashedLine(e, i) {
+ const s = i.dashOffset < 0 ? i.hachureGap < 0 ? 4 * i.strokeWidth : i.hachureGap : i.dashOffset, n = i.dashGap < 0 ? i.hachureGap < 0 ? 4 * i.strokeWidth : i.hachureGap : i.dashGap;
+ let h = [];
+ return e.forEach((r) => {
+ const a = Ct(r), o = Math.floor(a / (s + n)), l = (a + n - o * (s + n)) / 2;
+ let c = r[0], u = r[1];
+ c[0] > u[0] && (c = r[1], u = r[0]);
+ const d = Math.atan((u[1] - c[1]) / (u[0] - c[0]));
+ for (let f = 0; f < o; f++) {
+ const g = f * (s + n), p = g + s, y = [c[0] + g * Math.cos(d) + l * Math.cos(d), c[1] + g * Math.sin(d) + l * Math.sin(d)], m = [c[0] + p * Math.cos(d) + l * Math.cos(d), c[1] + p * Math.sin(d) + l * Math.sin(d)];
+ h = h.concat(this.helper.doubleLineOps(y[0], y[1], m[0], m[1], i));
+ }
+ }), h;
+ }
+ }
+ class Xh {
+ constructor(e) {
+ this.helper = e;
+ }
+ fillPolygon(e, i) {
+ const s = i.hachureGap < 0 ? 4 * i.strokeWidth : i.hachureGap, n = i.zigzagOffset < 0 ? s : i.zigzagOffset, h = be(e, i = Object.assign({}, i, { hachureGap: s + n }));
+ return { type: "fillSketch", ops: this.zigzagLines(h, n, i) };
+ }
+ zigzagLines(e, i, s) {
+ let n = [];
+ return e.forEach((h) => {
+ const r = Ct(h), a = Math.round(r / (2 * i));
+ let o = h[0], l = h[1];
+ o[0] > l[0] && (o = h[1], l = h[0]);
+ const c = Math.atan((l[1] - o[1]) / (l[0] - o[0]));
+ for (let u = 0; u < a; u++) {
+ const d = 2 * u * i, f = 2 * (u + 1) * i, g = Math.sqrt(2 * Math.pow(i, 2)), p = [o[0] + d * Math.cos(c), o[1] + d * Math.sin(c)], y = [o[0] + f * Math.cos(c), o[1] + f * Math.sin(c)], m = [p[0] + g * Math.cos(c + Math.PI / 4), p[1] + g * Math.sin(c + Math.PI / 4)];
+ n = n.concat(this.helper.doubleLineOps(p[0], p[1], m[0], m[1], s)), n = n.concat(this.helper.doubleLineOps(m[0], m[1], y[0], y[1], s));
+ }
+ }), n;
+ }
+ }
+ const X = {};
+ class Kh {
+ constructor(e) {
+ this.seed = e;
+ }
+ next() {
+ return this.seed ? (2 ** 31 - 1 & (this.seed = Math.imul(48271, this.seed))) / 2 ** 31 : Math.random();
+ }
+ }
+ const Qh = { randOffset: function(t, e) {
+ return b(t, e);
+ }, randOffsetWithRange: function(t, e, i) {
+ return ge(t, e, i);
+ }, ellipse: function(t, e, i, s, n) {
+ return si(t, e, n, en(i, s, n)).opset;
+ }, doubleLineOps: function(t, e, i, s, n) {
+ return J(t, e, i, s, n);
+ } };
+ function tn(t, e, i, s, n) {
+ return { type: "path", ops: J(t, e, i, s, n) };
+ }
+ function Le(t, e, i) {
+ const s = (t || []).length;
+ if (s > 2) {
+ let n = [];
+ for (let h = 0; h < s - 1; h++)
+ n = n.concat(J(t[h][0], t[h][1], t[h + 1][0], t[h + 1][1], i));
+ return e && (n = n.concat(J(t[s - 1][0], t[s - 1][1], t[0][0], t[0][1], i))), { type: "path", ops: n };
+ }
+ return s === 2 ? tn(t[0][0], t[0][1], t[1][0], t[1][1], i) : { type: "path", ops: [] };
+ }
+ function Uh(t, e) {
+ const i = cs(t, 1 * (1 + 0.2 * e.roughness), e), s = cs(t, 1.5 * (1 + 0.22 * e.roughness), e);
+ return { type: "path", ops: i.concat(s) };
+ }
+ function en(t, e, i) {
+ const s = Math.sqrt(2 * Math.PI * Math.sqrt((Math.pow(t / 2, 2) + Math.pow(e / 2, 2)) / 2)), n = Math.max(i.curveStepCount, i.curveStepCount / Math.sqrt(200) * s), h = 2 * Math.PI / n;
+ let r = Math.abs(t / 2), a = Math.abs(e / 2);
+ const o = 1 - i.curveFitting;
+ return r += b(r * o, i), a += b(a * o, i), { increment: h, rx: r, ry: a };
+ }
+ function si(t, e, i, s) {
+ const [n, h] = us(s.increment, t, e, s.rx, s.ry, 1, s.increment * ge(0.1, ge(0.4, 1, i), i), i), [r] = us(s.increment, t, e, s.rx, s.ry, 1.5, 0, i), a = pe(n, null, i), o = pe(r, null, i);
+ return { estimatedPoints: h, opset: { type: "path", ops: a.concat(o) } };
+ }
+ function as(t, e, i, s, n, h, r, a, o) {
+ const l = t, c = e;
+ let u = Math.abs(i / 2), d = Math.abs(s / 2);
+ u += b(0.01 * u, o), d += b(0.01 * d, o);
+ let f = n, g = h;
+ for (; f < 0; )
+ f += 2 * Math.PI, g += 2 * Math.PI;
+ g - f > 2 * Math.PI && (f = 0, g = 2 * Math.PI);
+ const p = 2 * Math.PI / o.curveStepCount, y = Math.min(p / 2, (g - f) / 2), m = ds(y, l, c, u, d, f, g, 1, o), x = ds(y, l, c, u, d, f, g, 1.5, o);
+ let k = m.concat(x);
+ return r && (a ? (k = k.concat(J(l, c, l + u * Math.cos(f), c + d * Math.sin(f), o)), k = k.concat(J(l, c, l + u * Math.cos(g), c + d * Math.sin(g), o))) : (k.push({ op: "lineTo", data: [l, c] }), k.push({ op: "lineTo", data: [l + u * Math.cos(f), c + d * Math.sin(f)] }))), { type: "path", ops: k };
+ }
+ function os(t, e) {
+ const i = [];
+ if (t.length) {
+ const s = e.maxRandomnessOffset || 0, n = t.length;
+ if (n > 2) {
+ i.push({ op: "move", data: [t[0][0] + b(s, e), t[0][1] + b(s, e)] });
+ for (let h = 1; h < n; h++)
+ i.push({ op: "lineTo", data: [t[h][0] + b(s, e), t[h][1] + b(s, e)] });
+ }
+ }
+ return { type: "fillPath", ops: i };
+ }
+ function Bt(t, e) {
+ return function(i, s) {
+ let n = i.fillStyle || "hachure";
+ if (!X[n])
+ switch (n) {
+ case "zigzag":
+ X[n] || (X[n] = new Vh(s));
+ break;
+ case "cross-hatch":
+ X[n] || (X[n] = new qh(s));
+ break;
+ case "dots":
+ X[n] || (X[n] = new Dh(s));
+ break;
+ case "dashed":
+ X[n] || (X[n] = new Hh(s));
+ break;
+ case "zigzag-line":
+ X[n] || (X[n] = new Xh(s));
+ break;
+ default:
+ n = "hachure", X[n] || (X[n] = new pi(s));
+ }
+ return X[n];
+ }(e, Qh).fillPolygon(t, e);
+ }
+ function sn(t) {
+ return t.randomizer || (t.randomizer = new Kh(t.seed || 0)), t.randomizer.next();
+ }
+ function ge(t, e, i) {
+ return i.roughness * i.roughnessGain * (sn(i) * (e - t) + t);
+ }
+ function b(t, e) {
+ return ge(-t, t, e);
+ }
+ function J(t, e, i, s, n) {
+ const h = ls(t, e, i, s, n, !0, !1), r = ls(t, e, i, s, n, !0, !0);
+ return h.concat(r);
+ }
+ function ls(t, e, i, s, n, h, r) {
+ const a = Math.pow(t - i, 2) + Math.pow(e - s, 2), o = Math.sqrt(a);
+ n.roughnessGain = o < 200 ? 1 : o > 500 ? 0.4 : -16668e-7 * o + 1.233334;
+ let l = n.maxRandomnessOffset || 0;
+ l * l * 100 > a && (l = o / 10);
+ const c = l / 2, u = 0.2 + 0.2 * sn(n);
+ let d = n.bowing * n.maxRandomnessOffset * (s - e) / 200, f = n.bowing * n.maxRandomnessOffset * (t - i) / 200;
+ d = b(d, n), f = b(f, n);
+ const g = [], p = () => b(c, n), y = () => b(l, n);
+ return h && (r ? g.push({ op: "move", data: [t + p(), e + p()] }) : g.push({ op: "move", data: [t + b(l, n), e + b(l, n)] })), r ? g.push({ op: "bcurveTo", data: [d + t + (i - t) * u + p(), f + e + (s - e) * u + p(), d + t + 2 * (i - t) * u + p(), f + e + 2 * (s - e) * u + p(), i + p(), s + p()] }) : g.push({ op: "bcurveTo", data: [d + t + (i - t) * u + y(), f + e + (s - e) * u + y(), d + t + 2 * (i - t) * u + y(), f + e + 2 * (s - e) * u + y(), i + y(), s + y()] }), g;
+ }
+ function cs(t, e, i) {
+ const s = [];
+ s.push([t[0][0] + b(e, i), t[0][1] + b(e, i)]), s.push([t[0][0] + b(e, i), t[0][1] + b(e, i)]);
+ for (let n = 1; n < t.length; n++)
+ s.push([t[n][0] + b(e, i), t[n][1] + b(e, i)]), n === t.length - 1 && s.push([t[n][0] + b(e, i), t[n][1] + b(e, i)]);
+ return pe(s, null, i);
+ }
+ function pe(t, e, i) {
+ const s = t.length;
+ let n = [];
+ if (s > 3) {
+ const h = [], r = 1 - i.curveTightness;
+ n.push({ op: "move", data: [t[1][0], t[1][1]] });
+ for (let a = 1; a + 2 < s; a++) {
+ const o = t[a];
+ h[0] = [o[0], o[1]], h[1] = [o[0] + (r * t[a + 1][0] - r * t[a - 1][0]) / 6, o[1] + (r * t[a + 1][1] - r * t[a - 1][1]) / 6], h[2] = [t[a + 1][0] + (r * t[a][0] - r * t[a + 2][0]) / 6, t[a + 1][1] + (r * t[a][1] - r * t[a + 2][1]) / 6], h[3] = [t[a + 1][0], t[a + 1][1]], n.push({ op: "bcurveTo", data: [h[1][0], h[1][1], h[2][0], h[2][1], h[3][0], h[3][1]] });
+ }
+ if (e && e.length === 2) {
+ const a = i.maxRandomnessOffset;
+ n.push({ op: "lineTo", data: [e[0] + b(a, i), e[1] + b(a, i)] });
+ }
+ } else
+ s === 3 ? (n.push({ op: "move", data: [t[1][0], t[1][1]] }), n.push({ op: "bcurveTo", data: [t[1][0], t[1][1], t[2][0], t[2][1], t[2][0], t[2][1]] })) : s === 2 && (n = n.concat(J(t[0][0], t[0][1], t[1][0], t[1][1], i)));
+ return n;
+ }
+ function us(t, e, i, s, n, h, r, a) {
+ const o = [], l = [], c = b(0.5, a) - Math.PI / 2;
+ l.push([b(h, a) + e + 0.9 * s * Math.cos(c - t), b(h, a) + i + 0.9 * n * Math.sin(c - t)]);
+ for (let u = c; u < 2 * Math.PI + c - 0.01; u += t) {
+ const d = [b(h, a) + e + s * Math.cos(u), b(h, a) + i + n * Math.sin(u)];
+ o.push(d), l.push(d);
+ }
+ return l.push([b(h, a) + e + s * Math.cos(c + 2 * Math.PI + 0.5 * r), b(h, a) + i + n * Math.sin(c + 2 * Math.PI + 0.5 * r)]), l.push([b(h, a) + e + 0.98 * s * Math.cos(c + r), b(h, a) + i + 0.98 * n * Math.sin(c + r)]), l.push([b(h, a) + e + 0.9 * s * Math.cos(c + 0.5 * r), b(h, a) + i + 0.9 * n * Math.sin(c + 0.5 * r)]), [l, o];
+ }
+ function ds(t, e, i, s, n, h, r, a, o) {
+ const l = h + b(0.1, o), c = [];
+ c.push([b(a, o) + e + 0.9 * s * Math.cos(l - t), b(a, o) + i + 0.9 * n * Math.sin(l - t)]);
+ for (let u = l; u <= r; u += t)
+ c.push([b(a, o) + e + s * Math.cos(u), b(a, o) + i + n * Math.sin(u)]);
+ return c.push([e + s * Math.cos(r), i + n * Math.sin(r)]), c.push([e + s * Math.cos(r), i + n * Math.sin(r)]), pe(c, null, o);
+ }
+ function Te(t, e, i, s, n, h, r, a) {
+ const o = [], l = [a.maxRandomnessOffset || 1, (a.maxRandomnessOffset || 1) + 0.5];
+ let c = [0, 0];
+ for (let u = 0; u < 2; u++)
+ u === 0 ? o.push({ op: "move", data: [r.x, r.y] }) : o.push({ op: "move", data: [r.x + b(l[0], a), r.y + b(l[0], a)] }), c = [n + b(l[u], a), h + b(l[u], a)], o.push({ op: "bcurveTo", data: [t + b(l[u], a), e + b(l[u], a), i + b(l[u], a), s + b(l[u], a), c[0], c[1]] });
+ return r.setPosition(c[0], c[1]), o;
+ }
+ function Jh(t, e, i, s) {
+ let n = [];
+ switch (e.key) {
+ case "M":
+ case "m": {
+ const h = e.key === "m";
+ if (e.data.length >= 2) {
+ let r = +e.data[0], a = +e.data[1];
+ h && (r += t.x, a += t.y);
+ const o = 1 * (s.maxRandomnessOffset || 0);
+ r += b(o, s), a += b(o, s), t.setPosition(r, a), n.push({ op: "move", data: [r, a] });
+ }
+ break;
+ }
+ case "L":
+ case "l": {
+ const h = e.key === "l";
+ if (e.data.length >= 2) {
+ let r = +e.data[0], a = +e.data[1];
+ h && (r += t.x, a += t.y), n = n.concat(J(t.x, t.y, r, a, s)), t.setPosition(r, a);
+ }
+ break;
+ }
+ case "H":
+ case "h": {
+ const h = e.key === "h";
+ if (e.data.length) {
+ let r = +e.data[0];
+ h && (r += t.x), n = n.concat(J(t.x, t.y, r, t.y, s)), t.setPosition(r, t.y);
+ }
+ break;
+ }
+ case "V":
+ case "v": {
+ const h = e.key === "v";
+ if (e.data.length) {
+ let r = +e.data[0];
+ h && (r += t.y), n = n.concat(J(t.x, t.y, t.x, r, s)), t.setPosition(t.x, r);
+ }
+ break;
+ }
+ case "Z":
+ case "z":
+ t.first && (n = n.concat(J(t.x, t.y, t.first[0], t.first[1], s)), t.setPosition(t.first[0], t.first[1]), t.first = null);
+ break;
+ case "C":
+ case "c": {
+ const h = e.key === "c";
+ if (e.data.length >= 6) {
+ let r = +e.data[0], a = +e.data[1], o = +e.data[2], l = +e.data[3], c = +e.data[4], u = +e.data[5];
+ h && (r += t.x, o += t.x, c += t.x, a += t.y, l += t.y, u += t.y);
+ const d = Te(r, a, o, l, c, u, t, s);
+ n = n.concat(d), t.bezierReflectionPoint = [c + (c - o), u + (u - l)];
+ }
+ break;
+ }
+ case "S":
+ case "s": {
+ const h = e.key === "s";
+ if (e.data.length >= 4) {
+ let r = +e.data[0], a = +e.data[1], o = +e.data[2], l = +e.data[3];
+ h && (r += t.x, o += t.x, a += t.y, l += t.y);
+ let c = r, u = a;
+ const d = i ? i.key : "";
+ let f = null;
+ d !== "c" && d !== "C" && d !== "s" && d !== "S" || (f = t.bezierReflectionPoint), f && (c = f[0], u = f[1]);
+ const g = Te(c, u, r, a, o, l, t, s);
+ n = n.concat(g), t.bezierReflectionPoint = [o + (o - r), l + (l - a)];
+ }
+ break;
+ }
+ case "Q":
+ case "q": {
+ const h = e.key === "q";
+ if (e.data.length >= 4) {
+ let r = +e.data[0], a = +e.data[1], o = +e.data[2], l = +e.data[3];
+ h && (r += t.x, o += t.x, a += t.y, l += t.y);
+ const c = 1 * (1 + 0.2 * s.roughness), u = 1.5 * (1 + 0.22 * s.roughness);
+ n.push({ op: "move", data: [t.x + b(c, s), t.y + b(c, s)] });
+ let d = [o + b(c, s), l + b(c, s)];
+ n.push({ op: "qcurveTo", data: [r + b(c, s), a + b(c, s), d[0], d[1]] }), n.push({ op: "move", data: [t.x + b(u, s), t.y + b(u, s)] }), d = [o + b(u, s), l + b(u, s)], n.push({ op: "qcurveTo", data: [r + b(u, s), a + b(u, s), d[0], d[1]] }), t.setPosition(d[0], d[1]), t.quadReflectionPoint = [o + (o - r), l + (l - a)];
+ }
+ break;
+ }
+ case "T":
+ case "t": {
+ const h = e.key === "t";
+ if (e.data.length >= 2) {
+ let r = +e.data[0], a = +e.data[1];
+ h && (r += t.x, a += t.y);
+ let o = r, l = a;
+ const c = i ? i.key : "";
+ let u = null;
+ c !== "q" && c !== "Q" && c !== "t" && c !== "T" || (u = t.quadReflectionPoint), u && (o = u[0], l = u[1]);
+ const d = 1 * (1 + 0.2 * s.roughness), f = 1.5 * (1 + 0.22 * s.roughness);
+ n.push({ op: "move", data: [t.x + b(d, s), t.y + b(d, s)] });
+ let g = [r + b(d, s), a + b(d, s)];
+ n.push({ op: "qcurveTo", data: [o + b(d, s), l + b(d, s), g[0], g[1]] }), n.push({ op: "move", data: [t.x + b(f, s), t.y + b(f, s)] }), g = [r + b(f, s), a + b(f, s)], n.push({ op: "qcurveTo", data: [o + b(f, s), l + b(f, s), g[0], g[1]] }), t.setPosition(g[0], g[1]), t.quadReflectionPoint = [r + (r - o), a + (a - l)];
+ }
+ break;
+ }
+ case "A":
+ case "a": {
+ const h = e.key === "a";
+ if (e.data.length >= 7) {
+ const r = +e.data[0], a = +e.data[1], o = +e.data[2], l = +e.data[3], c = +e.data[4];
+ let u = +e.data[5], d = +e.data[6];
+ if (h && (u += t.x, d += t.y), u === t.x && d === t.y)
+ break;
+ if (r === 0 || a === 0)
+ n = n.concat(J(t.x, t.y, u, d, s)), t.setPosition(u, d);
+ else
+ for (let f = 0; f < 1; f++) {
+ const g = new Nh([t.x, t.y], [u, d], [r, a], o, !!l, !!c);
+ let p = g.getNextSegment();
+ for (; p; ) {
+ const y = Te(p.cp1[0], p.cp1[1], p.cp2[0], p.cp2[1], p.to[0], p.to[1], t, s);
+ n = n.concat(y), p = g.getNextSegment();
+ }
+ }
+ }
+ break;
+ }
+ }
+ return n;
+ }
+ const _h = typeof self < "u", Q = "none";
+ class $h {
+ constructor(e, i) {
+ this.defaultOptions = { maxRandomnessOffset: 2, roughness: 1, bowing: 1, stroke: "#000", strokeWidth: 1, curveTightness: 0, curveFitting: 0.95, curveStepCount: 9, fillStyle: "hachure", fillWeight: -1, hachureAngle: -41, hachureGap: -1, dashOffset: -1, dashGap: -1, zigzagOffset: -1, seed: 0, roughnessGain: 1 }, this.config = e || {}, this.surface = i, this.config.options && (this.defaultOptions = this._options(this.config.options));
+ }
+ static newSeed() {
+ return Math.floor(Math.random() * 2 ** 31);
+ }
+ _options(e) {
+ return e ? Object.assign({}, this.defaultOptions, e) : this.defaultOptions;
+ }
+ _drawable(e, i, s) {
+ return { shape: e, sets: i || [], options: s || this.defaultOptions };
+ }
+ line(e, i, s, n, h) {
+ const r = this._options(h);
+ return this._drawable("line", [tn(e, i, s, n, r)], r);
+ }
+ rectangle(e, i, s, n, h) {
+ const r = this._options(h), a = [], o = function(l, c, u, d, f) {
+ return function(g, p) {
+ return Le(g, !0, p);
+ }([[l, c], [l + u, c], [l + u, c + d], [l, c + d]], f);
+ }(e, i, s, n, r);
+ if (r.fill) {
+ const l = [[e, i], [e + s, i], [e + s, i + n], [e, i + n]];
+ r.fillStyle === "solid" ? a.push(os(l, r)) : a.push(Bt(l, r));
+ }
+ return r.stroke !== Q && a.push(o), this._drawable("rectangle", a, r);
+ }
+ ellipse(e, i, s, n, h) {
+ const r = this._options(h), a = [], o = en(s, n, r), l = si(e, i, r, o);
+ if (r.fill)
+ if (r.fillStyle === "solid") {
+ const c = si(e, i, r, o).opset;
+ c.type = "fillPath", a.push(c);
+ } else
+ a.push(Bt(l.estimatedPoints, r));
+ return r.stroke !== Q && a.push(l.opset), this._drawable("ellipse", a, r);
+ }
+ circle(e, i, s, n) {
+ const h = this.ellipse(e, i, s, s, n);
+ return h.shape = "circle", h;
+ }
+ linearPath(e, i) {
+ const s = this._options(i);
+ return this._drawable("linearPath", [Le(e, !1, s)], s);
+ }
+ arc(e, i, s, n, h, r, a = !1, o) {
+ const l = this._options(o), c = [], u = as(e, i, s, n, h, r, a, !0, l);
+ if (a && l.fill)
+ if (l.fillStyle === "solid") {
+ const d = as(e, i, s, n, h, r, !0, !1, l);
+ d.type = "fillPath", c.push(d);
+ } else
+ c.push(function(d, f, g, p, y, m, x) {
+ const k = d, M = f;
+ let v = Math.abs(g / 2), w = Math.abs(p / 2);
+ v += b(0.01 * v, x), w += b(0.01 * w, x);
+ let C = y, z = m;
+ for (; C < 0; )
+ C += 2 * Math.PI, z += 2 * Math.PI;
+ z - C > 2 * Math.PI && (C = 0, z = 2 * Math.PI);
+ const F = (z - C) / x.curveStepCount, W = [];
+ for (let R = C; R <= z; R += F)
+ W.push([k + v * Math.cos(R), M + w * Math.sin(R)]);
+ return W.push([k + v * Math.cos(z), M + w * Math.sin(z)]), W.push([k, M]), Bt(W, x);
+ }(e, i, s, n, h, r, l));
+ return l.stroke !== Q && c.push(u), this._drawable("arc", c, l);
+ }
+ curve(e, i) {
+ const s = this._options(i);
+ return this._drawable("curve", [Uh(e, s)], s);
+ }
+ polygon(e, i) {
+ const s = this._options(i), n = [], h = Le(e, !0, s);
+ return s.fill && (s.fillStyle === "solid" ? n.push(os(e, s)) : n.push(Bt(e, s))), s.stroke !== Q && n.push(h), this._drawable("polygon", n, s);
+ }
+ path(e, i) {
+ const s = this._options(i), n = [];
+ if (!e)
+ return this._drawable("path", n, s);
+ const h = function(r, a) {
+ r = (r || "").replace(/\n/g, " ").replace(/(-\s)/g, "-").replace("/(ss)/g", " ");
+ let o = new rs(r);
+ if (a.simplification) {
+ const u = new Yh(o.linearPoints, o.closed).fit(a.simplification);
+ o = new rs(u);
+ }
+ let l = [];
+ const c = o.segments || [];
+ for (let u = 0; u < c.length; u++) {
+ const d = Jh(o, c[u], u > 0 ? c[u - 1] : null, a);
+ d && d.length && (l = l.concat(d));
+ }
+ return { type: "path", ops: l };
+ }(e, s);
+ if (s.fill)
+ if (s.fillStyle === "solid") {
+ const r = { type: "path2Dfill", path: e, ops: [] };
+ n.push(r);
+ } else {
+ const r = this.computePathSize(e), a = Bt([[0, 0], [r[0], 0], [r[0], r[1]], [0, r[1]]], s);
+ a.type = "path2Dpattern", a.size = r, a.path = e, n.push(a);
+ }
+ return s.stroke !== Q && n.push(h), this._drawable("path", n, s);
+ }
+ computePathSize(e) {
+ let i = [0, 0];
+ if (_h && self.document)
+ try {
+ const n = self.document.createElementNS(nt, "svg");
+ n.setAttribute("width", "0"), n.setAttribute("height", "0");
+ const h = self.document.createElementNS(nt, "path");
+ h.setAttribute("d", e), n.appendChild(h), self.document.body.appendChild(n);
+ const r = h.getBBox();
+ r && (i[0] = r.width || 0, i[1] = r.height || 0), self.document.body.removeChild(n);
+ } catch {
+ }
+ const s = this.getCanvasSize();
+ return i[0] * i[1] || (i = s), i;
+ }
+ getCanvasSize() {
+ const e = (i) => i && typeof i == "object" && i.baseVal && i.baseVal.value ? i.baseVal.value : i || 100;
+ return this.surface ? [e(this.surface.width), e(this.surface.height)] : [100, 100];
+ }
+ opsToPath(e) {
+ let i = "";
+ for (const s of e.ops) {
+ const n = s.data;
+ switch (s.op) {
+ case "move":
+ i += `M${n[0]} ${n[1]} `;
+ break;
+ case "bcurveTo":
+ i += `C${n[0]} ${n[1]}, ${n[2]} ${n[3]}, ${n[4]} ${n[5]} `;
+ break;
+ case "qcurveTo":
+ i += `Q${n[0]} ${n[1]}, ${n[2]} ${n[3]} `;
+ break;
+ case "lineTo":
+ i += `L${n[0]} ${n[1]} `;
+ }
+ }
+ return i.trim();
+ }
+ toPaths(e) {
+ const i = e.sets || [], s = e.options || this.defaultOptions, n = [];
+ for (const h of i) {
+ let r = null;
+ switch (h.type) {
+ case "path":
+ r = { d: this.opsToPath(h), stroke: s.stroke, strokeWidth: s.strokeWidth, fill: Q };
+ break;
+ case "fillPath":
+ r = { d: this.opsToPath(h), stroke: Q, strokeWidth: 0, fill: s.fill || Q };
+ break;
+ case "fillSketch":
+ r = this.fillSketch(h, s);
+ break;
+ case "path2Dfill":
+ r = { d: h.path || "", stroke: Q, strokeWidth: 0, fill: s.fill || Q };
+ break;
+ case "path2Dpattern": {
+ const a = h.size, o = { x: 0, y: 0, width: 1, height: 1, viewBox: `0 0 ${Math.round(a[0])} ${Math.round(a[1])}`, patternUnits: "objectBoundingBox", path: this.fillSketch(h, s) };
+ r = { d: h.path, stroke: Q, strokeWidth: 0, pattern: o };
+ break;
+ }
+ }
+ r && n.push(r);
+ }
+ return n;
+ }
+ fillSketch(e, i) {
+ let s = i.fillWeight;
+ return s < 0 && (s = i.strokeWidth / 2), { d: this.opsToPath(e), stroke: i.fill || Q, strokeWidth: s, fill: Q };
+ }
+ }
+ const tr = typeof document < "u";
+ class er {
+ constructor(e, i) {
+ this.svg = e, this.gen = new $h(i, this.svg);
+ }
+ get defs() {
+ const e = this.svg.ownerDocument || tr && document;
+ if (e && !this._defs) {
+ const i = e.createElementNS(nt, "defs");
+ this.svg.firstChild ? this.svg.insertBefore(i, this.svg.firstChild) : this.svg.appendChild(i), this._defs = i;
+ }
+ return this._defs || null;
+ }
+ draw(e) {
+ const i = e.sets || [], s = e.options || this.getDefaultOptions(), n = this.svg.ownerDocument || window.document, h = n.createElementNS(nt, "g");
+ for (const r of i) {
+ let a = null;
+ switch (r.type) {
+ case "path":
+ a = n.createElementNS(nt, "path"), a.setAttribute("d", this.opsToPath(r)), a.style.stroke = s.stroke, a.style.strokeWidth = s.strokeWidth + "", a.style.fill = "none";
+ break;
+ case "fillPath":
+ a = n.createElementNS(nt, "path"), a.setAttribute("d", this.opsToPath(r)), a.style.stroke = "none", a.style.strokeWidth = "0", a.style.fill = s.fill || "";
+ break;
+ case "fillSketch":
+ a = this.fillSketch(n, r, s);
+ break;
+ case "path2Dfill":
+ a = n.createElementNS(nt, "path"), a.setAttribute("d", r.path || ""), a.style.stroke = "none", a.style.strokeWidth = "0", a.style.fill = s.fill || "";
+ break;
+ case "path2Dpattern":
+ if (this.defs) {
+ const o = r.size, l = n.createElementNS(nt, "pattern"), c = `rough-${Math.floor(Math.random() * (Number.MAX_SAFE_INTEGER || 999999))}`;
+ l.setAttribute("id", c), l.setAttribute("x", "0"), l.setAttribute("y", "0"), l.setAttribute("width", "1"), l.setAttribute("height", "1"), l.setAttribute("height", "1"), l.setAttribute("viewBox", `0 0 ${Math.round(o[0])} ${Math.round(o[1])}`), l.setAttribute("patternUnits", "objectBoundingBox");
+ const u = this.fillSketch(n, r, s);
+ l.appendChild(u), this.defs.appendChild(l), a = n.createElementNS(nt, "path"), a.setAttribute("d", r.path || ""), a.style.stroke = "none", a.style.strokeWidth = "0", a.style.fill = `url(#${c})`;
+ } else
+ console.error("Pattern fill fail: No defs");
+ }
+ a && h.appendChild(a);
+ }
+ return h;
+ }
+ fillSketch(e, i, s) {
+ let n = s.fillWeight;
+ n < 0 && (n = s.strokeWidth / 2);
+ const h = e.createElementNS(nt, "path");
+ return h.setAttribute("d", this.opsToPath(i)), h.style.stroke = s.fill || "", h.style.strokeWidth = n + "", h.style.fill = "none", h;
+ }
+ get generator() {
+ return this.gen;
+ }
+ getDefaultOptions() {
+ return this.gen.defaultOptions;
+ }
+ opsToPath(e) {
+ return this.gen.opsToPath(e);
+ }
+ line(e, i, s, n, h) {
+ const r = this.gen.line(e, i, s, n, h);
+ return this.draw(r);
+ }
+ rectangle(e, i, s, n, h) {
+ const r = this.gen.rectangle(e, i, s, n, h);
+ return this.draw(r);
+ }
+ ellipse(e, i, s, n, h) {
+ const r = this.gen.ellipse(e, i, s, n, h);
+ return this.draw(r);
+ }
+ circle(e, i, s, n) {
+ const h = this.gen.circle(e, i, s, n);
+ return this.draw(h);
+ }
+ linearPath(e, i) {
+ const s = this.gen.linearPath(e, i);
+ return this.draw(s);
+ }
+ polygon(e, i) {
+ const s = this.gen.polygon(e, i);
+ return this.draw(s);
+ }
+ arc(e, i, s, n, h, r, a = !1, o) {
+ const l = this.gen.arc(e, i, s, n, h, r, a, o);
+ return this.draw(l);
+ }
+ curve(e, i) {
+ const s = this.gen.curve(e, i);
+ return this.draw(s);
+ }
+ path(e, i) {
+ const s = this.gen.path(e, i);
+ return this.draw(s);
+ }
+ }
+ var I = (t, e) => new er(t, e);
+ const nn = (t) => {
+ t.append("defs").append("style").attr("type", "text/css").text(`@font-face {
+ font-family: 'gaeguregular';
+ src: url(data:application/font-woff2;charset=utf-8;base64,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) 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) format('woff');
+ font-weight: normal;
+ font-style: normal;
+}`);
+ }, hn = (t) => {
+ t.append("defs").append("style").attr("type", "text/css").text(`@font-face {
+ font-family: 'indie_flowerregular';
+ src: 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mt4gCbJCztcS8s3/ojVi9OlwXzX7vWhuFJ6u3ZjlYL7Rpa1QRR+ow79dK5gJrY1E4sNNJiAMkIrWeA1HoUHGQ8YUSLap3DV1UME+acTcGDiOgv9xD/xbOMJcAOKj3p7taeXGqX6UTDyzaEMLmfgt3glgvGE6YYkV1GJrSDw/k9XUm6era5a+bLk13l4V56B2ELdwHNfLiKstIxnTG6tO0IkS4jFBRvFx0ON4pBhnBnU4dcs2h6beoMyw40L743GM0suTt5kzJ/KfnCInHYAFiRgsxZrFIJagjDRSBXMkQAPP0Ox4XN64u+4ELG2RpGLXySbX0YfXBCBGhMwjmJOjZhQfVBcgQjb+9gWi540nOItZOOtSrKxYQXVpeJlqas0YswhnY88yoT2RBFMKQc5/NB1RVoBMbzVyzEj1SgWwuJvz+oZkBoOja83DyVXvvY4+T/nt15ZqIEiTvpR4BM3bo8ZfJlsubzpVZOYAlSUoPEbc3/oAYloTMXcjjkzQmVybWp4TIQYj3KM+Gd+d/ZFsxzhlhHhyP8JsiG0o7u8oWE10GHUHt0tHyxuGVfiK9IpKIgsVp5CGGftIoqgNgXV7WZgz9UoEzyrwOsXnX17F+rQMZMmIGxBGi6/WxhfEVm6glqjOfUF3iFhGTVPvWb/u7weBW9dLeMkTjm3VeO7OXkyDqSvY8ZKU6CnuX3LtLRFAIs0m/1YAKKd9BocLCE4keITOB8S7q3fHtaBKQt8lzoz8Q54IbEtyc9QGOjSce27IT5oRxoMaLAEgduBc328Yos7Il6lmUWFrJ7SCIiFDRzDdmU/hunCD2niY7cOukbLNTshcuAjhfABCvRJlM/mJwpjiV4LvQjiU9neBjTYt0dSRafECeCFWSUpqebAS5KkQbz9P9bB+mAq9rZ0vpam8hiQMRhVRydx4NWUp2k1z3+RH6Vz8DOtnbQhr5mYsSHvcIxRZ1IzccxlGh4onb5J6bqLkqJQeTLwoa+WdmgwPb9qVuxKkUwRO+9/wQSqxt64CyeR8V317SmsSAurcT/Fm7EWI07JZ2WcPw/lvkUXhACSUOq4CXOayYhLBxcJjwk5XlcfSQkneaCyj0SU5SeJ7MLaxx9GVcfKD5TDQfA5fsC9QDUdAF+NEsSzL60oovLmgNwERITKkZiVaruoNK3M1dTE4Zc5KbFm+HZWxLdX4jYwOgYeXBbUmP/mjSVJ2TqgYhfXkOALYSoR1JEKIAFezbvmwbJnZT0ZlxeGzfsieWdjxozVSEP400AOMnA5sUm8/6U5sdUDHmF46ZObuZqlGxACDErpDyIqJRwrOIO3q1ai8dg6QtkiQNfKDj+6gj6iVuIhXYO/iyjZTNi0+E6UzqGtsJkbr3gokI4R1GIZ1OIkkNNZvmCDVJ6PN0/QcK4vZQCZP8g6j5MPwvN00qXyXelBwZZteaE5MHEK7WrODapxNLAnhwAzSESpMbul9y0jOEKOGmG/ZzuGK3bn8seoqfgrEtSZd7US/0hJ1OA3UjJnvL6g9MnPbrqjBg/xAPl+IrIiGqWkLEEBoQg6NJZE0mtmgFZ+4xCbw8F/iw5Dx5IFyfvI/NORmX1blf3TpbRoUwpzMZLaSCxQ193cMFhIJP9tjLjwpuY3+1yuxTQByCLHlnh8sYjVrmrYnqEkwuAmAKTwonVKPAuaZPXgUxqVU0tuaTTnLmVSChQZp/xzoGMwyqJuZVkKrwe9L1afq3xq0QRI6S4cneEZVVhVU8yyI2tlUu7CF6OyVLfs6ZTUxFKZHTWLz7xxdpt9sMnLoIbBGziTn0Hyf0sokE1ihPrAziokaSyuVs35GWmD9IBHl6eXeR8ct91BUAoBLx+jQQLXsJD9EpKJbrx7zWjZYycjQl/gRbMxAHxJvVHrKQRyivo+meHwUQFYPgf4pier6e7dNENBKlhO+bzXjFeS0TItEFOaOmqNZXSRKRFcOBR7Ea8XCuOVBNUrBcRIih8PbERtq03IH5/TMnWCI2HSHmTooDwk6fLSfN+zyAKEzVE8JqGOk7bGCOXdznShShhNmqH5gaEdkFAF/FpvOJDBSMA/Us/5hU4A6msFT1r+Yw0u8AA2I8HlQpmFqIhuAuXD6pFxGl5HRl/LckcSSiPYXwhKl8/VYkWiKiUGI/g//JWAXNIj2RrdXmj6ifkiXXK9Clb1uwLNF/lxhfdPqx3PE4jhYicyOIdOwR2HFLlkeTNWuApgh1qASycaGy2QSWZzgFzRU2LmKq43BzrTzQsJUEWBGR36dyEgncq3cVIyLiFfAe6ugx6kGEGr72OCsQ6ZUqOVUtENd8UO9yyr3P3e96uLsHAAnRtTOqWgmBTE7c1DYfpx5s62Eehq+8a6bbV9z4m3pS3Jf7siw2MSVD3nfKa0K6dj2VaITPzZao+zs6n7SKVJlddqGxCoBNsmwCOb0ppYXQhOKcmcPDKnrf5S8/0HzH9TyP4NlhzNnA+N04ihBFpCkBxAsFAA9NR7qPOZP1nxvMtt6nJCcbCKPPbRD1rrIzw2Z1qzI+RR1rqHnY60O8+3Jligdxo/zMKRIRnUk8TU+v6h6iPNhIk6p4qI5iAkzJIWvRcQBJEwBiOWPl8uDyxZGHXBdSkeW2z6qc0RHxcf15DC1Gw4KdHmDTNdslnCWLbjm/HYxxOYxQMwBmcv4kY1WUOiGQrlR5uvRMudfi7oujjTJbr/xLr+0HbhxWhU31iNZ+Vl2jL4gQqxrBk/0zeIm6cmLoVh2i0G6bkyJNqR2dum2iHdY0eBzFx0/yPVG4O44Xg4eaGx5+mE22B+NkeG8UzhBKlAXOAOGX6MoJyBP7Z+lFSmYlrfki2dg4wRCggojZjXdY81VGTc4vurijKJnI5nEfLZMjvtWLlzpa0hJ/Ky5R7leOoaaOiLP+xLR/q0mzAupH871vupPQ2xUvc5ivS/qdtFhdW6mUZFRm0oI0aHqd8JOET0A0QhljyImn25XXv21nAs+iXdH1/9PJqJPejdKpi4IiQF2lbcdd0L1e1/joc9sP8S7m1e2aSr0gC7DxiWGspQJLbundFWxY0O12jbSg1ywVJx6Rc7yHiZTor46mXeHagIclVF9qWQWYBbbasjUYAYERdUdyztUQ1jP7R32pGuLDM8RpNQSzQkMu3t5QuuhnJks6AoBFYLgRPr4zEG0AjIEaddHaqMOYHyhFJQbV7YfRF2SJwaDOiKjUPlGtTZHBgyO6qP71UCmAe1lsJxZyfiASnSdS0nU14JP8OdKWSC33nl14dMIHNzEZ5shWorvkE/S+depwdxMVv8WY39mPi/371wjxmrac8RzDim1rWaPsG4+82iMl0pZLnN+BjDrw/GpqaBOVGHryWaIPkStNohfthOmWwPhInlGbPFN/kq8uRKNk796O3HrvJjqZaXguiyWxOy+9fCaz1zNlDGJCVaXkOCGQBogoWLL/BZzw4tjUWr2barV3kLVguJGrFaUoH3sxInbv7Pw1l9ev1UoBLRoX/sacjmUiRSUpdR4EeTdnvs8+/VStXcV15G4YEMpTRbhRx+/E4kBIpd6YLg/qLLjGydEGcFjFyvnUIc44uguuALEyVjdWoUNDpoDORB+COL36jpnL5pMFuESobg1rX75R7mOuRDII6tcfSYvqT2A2AffLEgtAfFEG6xEoKLzG7a2v9pnYiX5d5zaIiYCkafRPBiYvKPWKcqcMOFhP/avhNFB53Xm0QPPNatkEVCvVk0r2Z2Z7P0WecY0yp3cPJ2oQ9ZaHdhFQ2zy3LFW5hyHQussptjBWtFlZ6O6XGhsAlkEv2FKVk5ZAxta5UPMlflci5gMPiYUPck1HNRPjQrmRwZxjJZtcxrflLhYgu2osS3Wh/Tgpp4YLqZXYkb+9m+ji7hxO8gum/r7AdnR9Fx1i7YGvtWIIrjwXP+0OE9fWABERM8eiCnLLlrgghAeuCcVSLoJ3pDYDcWECZO9KnFjxk6fRm1ZE7Cywdyf7sV7cmzaHUe/iMKNtmI/MksScnLzKx2IOLn7dVXsHgPesl/+E5xYx+74C0ZueSJpfGHkeKfOtjLW5NhpeO11nCg0cA+BmPp15TsH0qd3sRlH9CEORQsxJEO1YRqfZhNsvubvfLnHUhiMx1zhrg/o6D1sDItLUIhOPSd3g6rJDb2xi6bLc5rxFIV1smSufsLJuXveK2kV3dTRbvd4tFRy0hSQxA/ce5UUSaion01G5gZ+ubnhjlxELF8L6vYGbDKNrXUWszM63qF2n+1NnVsKazZ1ZdqLhtImIlkhdLGmrVfos1//G9vAWCaT5tVY5YuPbCTOTY0+71SDQ+e/cxXcZ5MnN2yZb+vSbXD/a9Uq0wZmT3UdzHO1mRvHc6Fju/VEaWbHOrwPvb0cO2/nPaPrXwLadINyzvHRKvjLczIkQObEYQhKAjzM2R2Rh/3GMOJjg7PtHToMQwEm8QyVVzRtKDkMNDfG2zzKVUBwxi1BQb9shKiU98qv2V/GyGGDnXTns+21eu/kxGgDHGSOaejoCKLuV3/a/938Q0Mdse4bPtOP5FrCjsJxPZUHa0fsd19cVNponKrufXxnuCKojsya2MThdmHKCXdVeXWfsRGjTI2JdVKSpOUj0US2+sklCFxuauXU0zQ21+HjcALC4OLZK63Qqzu3msDTi+uPB4Pymp81o7+nRvWjNf/HC5Q/Oq+V4u75rVFhKv1k9drtoGAr+eW02pjeSjY2X/YQiN3MAQBF8LPxa1DHXEV/H4ku3HVnT0dj4afPAgMANHZglBh7ur0XMsfnONVKB6yGsWuaYJMQHmpl52jRF+eOVVbnULsdD7zI9Xm81wwwTu83YzkE0xFdeRj96suh2K8oQDh2Om60OmYm6KDypWo3XGR2JechDyKCeWcVieNS8B8neG7/3yrXFiKPDtlF/wSraqj4TANlZUTaeAS18vvwDD7Yv8yQTMa/6lJ9CJF9aW1Ceyqhy9hj+DPNNxEbv7WwKx5EAmHpPfjHOgCIRdvDjtL5voo+5eRMVB7450qF5Oxi5MPrBeh9SqXnWSNS0yMn3IBZJIt4su98YOyc/uhqChLfpzE9ldXSJhhRY7T+wWJ5nP0m8r/5M+TiUpJ/EektCRXXCbdzMa5wdWzMxWwevnB4XAGYfDghz4O6AU3VOVS0AO8Bj5kKgPfJhu11+/+JSk8fkqaRpS/+ZNle6GrqJtVMblg/2iOiMnIdt091WehcGbqq44RmNmvokqvF8XhsY/F3AQnYXqMQac5wDCxNqNfq0FijknXniY2KERLDlJv2Tv/asol46KtpOFfoawYb9AvAblgMvLh7a+wXW+jRf27bJkE4LKiVbzpR53d6J1aQ8VBKRmDPxiKpQ1VF4urORNjtJLIGvh9RqhXbgsKXVaN+WjlPVmO8t2vZ8O2j3SNC4iK5kE2tofLnMVAf3V/3L5XijFyLJwI/en+z5A/dY1U1mppO/+bk9sSmPFn1e2I8Jgg2EEEKGrojMrbXSZs1KHhGHrO0kFW1/jIjcoarVGSkek1KerfNTJWEJtjEvWqeoPSBtX3eI+iXKYEgqj7wp0qlM8uQzw5UeGxSVuYV3tNfvDJdLiwhRwSRuJEbWMbVM9f6zbWD1amhh+s/byxDMbiV7CZDcbxvM2vr9jffpaLbBhVQnq+gXTTTWH1QTAYBGKLRvLpRLAH6IJUASB8BwY4fsNlZME8sYyHXe3qty7q2zf/ISfXi2BlI+lHO1+RGrVegmkzefUvDs8obiPrkQUHwj1og6sREfEEDKsild6oVSppDSL4xPfpRBlUUMU+//t4v/b1mjXW5rjhx/x1cXXMWYlYIjPy9TRkY/i32IaUQKVM5Xin6R1+nLi5kllYoWrbzpgvGShRYJbO2AxMPj8vlnCt4DffHFOBfuOSWD1gcWDRU0S+z94xTYdo/pMaYlB3O9wBRcfp2xBcbspTvvCkztq/yrmYrjzoGbKt+38erCnZhM55wfL7jm0kTONxstXnJOMxpeIcry5cXIo8IasiwZdg9XVsbS+LJF+WnTeZdOmL3EdmKJ5nDJlmBi8MZeg+b7G+kQw8v16nsf3+bzkO8PW7mf5bxZ2Izlr2D7dtulKtp0rwgWb+//e4v16Tp/7EPWp8fZs6zPoyi/igWHXd0f0N3p22ZZ/Q7yU3bE/XMW6+sDIsZH/8AqoZH4WGhxTdxgX9pDjsRd05L1cxyNu9rKRvZC37fNa35XJ7QXm/HPCcjcOwaYD2BiE1aLdonlRFMVSjEHTu2gFOtRjDQszboVMTJ4ip6dGVbcaiJ4jCGX/EGJ/YxSDAG7SrwIbio5Wy6kDjB3uZdpyWbDlvboMEuP3ARyx1ijEnpXY/qrInDj7eMdOPcFE4Z2WpmzHdjOw16icf8V38xuES5IgTzzlht3N8iiyv8RFB9H5532XZG/g1wJ+j2LvmBVZjTlwapMeDUJqzIWI8Ry/WisjDIOSn5rx5NqBo4RzphirTrLmPEvWKoVxX63sjZhj+0PK/sQ9Ihv5L4YP85zSk0kdb1wZ2e6d4+8XI/yNgilzSFL1J1+oMrynoyutXfX2vyOX+pfXpjZzcdkY34q234K67fuqozNw+UvpxeE6xUp0p/TGqu3xCF9ykCar79WrALiuvqWnSLicK8dBaTzlV03R3F8kzexzMh2I+zwJ6HERmL23RsyF69Mad5fZSJzVwLuo4KRUKHE1aqpU00LZqWA1aHa0PyZw+OS2sEHX1flZc/IYSu3qxfNbKl061Ud+cDFLrhh4oDh66+VkXUZuv64VLIuo1771k4WZi6k5Y/9n0+ok8d+XV44eOyBybmDUk/pqxyjP7tVmc+PnTOLLAgTVR/eCPWAIayRxaRuv5R24tf0lxVCDsXUjvKD9JQ011quaf5BWB9ObBv4CGUyivAJBNoVeJwZ5pTL4uBYXAKGPDZEJv5LFgxZaZIjkrrWypWQXe0DRWLd2sWHJJs1ay9uSTNf5bceWDBx3mWLm7ApQeXOeD7zldN6cZJAS1Ds8tQ98/HVVMGp54pSSFkDIi36uVFGGe4xwn/fNv6M4SdbuCXBRWb7Xv3QjxSfieMK2E2NOYaQP2QJCD+WYXuYCv7rgK/q/T5FiDh0zYASbiO1ZTeDwHAAcPLazlKT3abOb7/HRm/6jfRHVnk0CIZcieaECpHN/Kimu+5VLWcesjzvObCMAqY5yAqNT9L+HPxFZqRQZ1xdozMYTgKF5xzJajLg/TJPyPQ6y5rdXeBdixLOliby23oPtWvr7RmsA/59baWbEnG3n3OGpXYPhsOQoZ1cD4WpSXZSwhNyY6LpCVOU0w5yqAY9x8Gh/2YlSvFwA5Rpe6FtLfLy45d7LMH+jdoV+zF3TVVX3gyqLs4bvnnP6Vp1s4AHFsDVj4vmgDgN1DWYpAoD5dfXlNOliiKwB/z0jZOnrgmu2tm0XHNizDOJpxCzawvVOtO2EKIzOAexqGCUTGmQWBjTor4JpRPoJJy8RzqsPVlLp4AaRt0yimA4AYaB0PeJp52UOikvspMUhcvl0mf5KalVgqA+3Fs43W+V7U+ocs3aDlHQmEqtgByw1OI0SXssVw3K1HRKDAiF0qOgQyws3J4kgOStbZNMBpUmy8pnieQOcbDZ6gVYf1ejTSPVzmuATHEYxufnAUClUQO9WroXEAJiCEpVCBCQvUC9MA4jJco9Kf658QWRXjfqXUv76HU7sGPgFrAqCmvmuUWLXFNqBozCELUhBXHuWlItfJ8S7jSpgKGnmrK+pHixbnstaXITKei+KNXp5ACgVjUIdU+MnzUckfYX57Q+e+bajcYwCkN6TU1eJoZPwhkg4gA0dRphKeE87Y4dEKvFPd6rLG5wCCJkyE3MWtOX3cJMwG4XKuq0YkBZpwGWqXqAM5gEBIYGXF0XAhv1Cas0SWQ2JRg/cxyor9eJC2epQNDDj313/VffRaHeg5rDiBupQkoJLzgkMO4dqunYAnEQHS/57CF/NEiGXIvftRnWihRhP1glTvZTjnqFNHlrz6LXQovmkFMUXXQA1SSRIwtkDqWMKvu+Xa3O8hPCTOyFMaeelGSYxGEGICmbHshv5c3AkSEDw/mXWsUis1ltFkOHinQw53TRbHz/u6MF2r0seCkWjYERT5fpnBAvX2yJRPCNk76eoOQPg/T+S52hBBrs7uuiJSTUTZScqoB/u7yOqRF3Q6N5vbbotOYKjspHna0Dc8Nrk4+vfv/qEjdHkHJpkTBIgR7s3Hgzv4Xm2pg5KBabwuZ9mf0Fm35//kPNWsZF63TU42/v6PL7nD6B7rrsyAyFOfeVLh/N8HChvVF3lnZ04YIn4HB2aYrj7vouLOwM8JGOL5ELb0MeMLep20rG2NzaCGgqIlASCjdLl9ezs8ew3AZPpZoH8bAYUIIMYASsSi/rFeFaq3+LlcDBi/KlLATJ9c7iUqtmZ2KivLM1sagNEDjj3xUDaqmpE/eTAXSOV5ShT33bCAjruPLhfOx8L6AvFoHTkp4pumQ7obWtUtbpjztxp9kIy14ZmeEbekg5zDOE9xXh5JEhsVyVrR/IGbV+NADTAOowgaC13qilkdgjbVMDrvujxal7hUm0HZOHm3Is16TYtNe42FzN8BUkk4osorc7F/vfCKcTSP48jjxXraZFnWt8/XmCmey+q+kUR4V8nA9MuedPjHZOxbPBOLu/kD6pMTvrr0T9dAHJgDkm09vbWUjcCd6LT3LERbllP9clDB3QDYANu4s2xWY1IxcLldChsXk54nSnyc0yIGyuKIXAdtGpzFGqoXcFOQKziAsLEL61lbRCU0o6UN/RZnGKU5nsK1q9eWPIdbrpd9fLoAFuYQNyNVELyw3VOEHS8G1VuLhEOqAU73hGq8+1xQlAmgkpANMZy5s0SRJSScE9uXaqpXhrK4UzRPe1PDGhVYmtW/VCwSq2b2YYoQc4FwIQU4kqe1mbQ4PoM1OZqjaKT2gV6LuRSZ660gQA1NGqXmdsqPSgvpUGjc2PojiKtprZ3JkP4epVs1SIDHWc9DoNUFxQ2LY8Nl01Cvgdiko/FqJjPKXX1bwoM7vcL3vXY+dplAUYADqXNz3j06dnvNbc0drloy5c5jAe7yRfG1pRrIieQo1to6BG2/Sbk1ADGFKu1qOpYacBlyjZP68JPctUESTGw1PqMsPKzU3Lwb3UHlVv/LfBeXfCVn/2lLR12LeYHC+Q1y7QLiKK0PYgF+wedS9lxyeIGzdXvKm0ZzUYlXjlTIZNOa62kPmFbdcBv71vyJVJsrzz2n5G82Y6w8eM21ZoZXYZilfPamBe1EvvNsuhgFGj1QillVFihf4O95h9xC+wAasmvwCoftarRoTCATjSDBzoa5bricsL5dT4qSucgVS9BvVucP6aXXWBZkmJ4no7EN1Juzk2hgdaTLUxMeL393Qs0T4KruzOOG0N3jJq7Lg6TAxkuJkHKjAC5fHKwbiat2nml2DJ1g2TBizrPSRBUgTZNfKM9loXSfhcds+adGZtZ9prnMhpahp5vRlBMqHW6+nYuHehKceTrAmAhJ1PA4RhAYrlMZez1fx8LwzZUMCHZK1dF1wXNKyeaWq84Hc5PBzR3UGFOzNtQqV673yCDC2lh1+y0xl7lO1TDzUpvTPDYUYdkX5+CI0wITFKwypUDIF9LTF3XOIOdmhDXiLmuDh83kNP17R3h1ZWgN6zjU2bMkRH8HB3bxWLs2igx3Zsa9F6kNA7BCHc07Qd7UZlP0Udj5KecePcdovgsPgyBgxi7SBGsySBPTcPXdHFg/DI6HUXP4zmOqeZKXxxCP0MAcS6nBf3Bdx4VRlQHC6pUXjBVow0UBgFooDJxoIsQoglg1Yo3an5TYCdpAAA3xxsqunaUYTFVBPuIji/E9BJ48TjxEcy7NrvStBoNhkoODzghTSYJdNSIORkV6W7x8Fi9n5mJZ+9jRMS0HmsbpHTi8oaoEjt75QstqArGg8GsHBPsEu2Ur993mp7+SmIzTvGT9wkxiex1aZXTo37iFTLwuk2Q+b5VEzSnyAZ1Ukdbu4mIgje3TxyxRBRnfgIEPprYYkYr1qAloCyueOCTXqDvHuPfiRS/bzLvt6iWSpl6qR1wsBi2qKoT5aNcfejC4fmqq5Qd7ZiAA5cq5zTOETKvoAigB8kSeKsKAFGwCyw+qjS40MiMAqxuXJrlkGVQqmrDyIiGIR66vLbaGgAzTP976xsvTO2giTT9hWG9utc23LDTAAI16M961VHkGCmts82aGXhGdgIGrQHE10eHqQD7X3tgRgS6LykcS/t6A+C8UGGRU6EuBHQ7PBeCh4XwP891JZM0DFouC/s8sd6Qn1KnNoitqG194hCVf1mR10tAWah+ScrydUYOk3HAp6LHNes9S0/77AXeK2OZUM0btbsXq/bzuTTf9MyYcs1q3RcCQKBzQooFCsWCB544HDV6Q8dJqK1GLNQpHSIJ12oi1iGGiRwiJtWkt3WqgjNSZyXWbDWHBqHnZBLt3iH5HeI1dKcyfVb7WcmU5OTYDo3kEhyWASh3Gw1nYYalGekoZxQ6CCu7WeXg042zCBOB4jgOOZDKXNhtDbC+1Vbb59mZYKHyhgcQ7N4hogxO9JHuyk2jeXBJWC4ONL6ckxr6QKelBuUHGMNkcHrukLoPPZDqAjrywLKuGMkoXE4BaaB0bYEzEEB8RSVv9fCr+8ldVjxBsPxLJkiooQLCdQPODBKJV0pLRSAA0uGBqDefqxvOyzfWRxte+Yv1Z6UHfxYMUAtMHCamQ4mCdwhbTxoFrS+pFMD1uySp9Y0Whzwj7RlD42Cq4PLZN7lKFV9tfuWs3m2QapaLuNyM4YgnLrrSktCj4VielzkB95OhN+yleaIorbiXzs22q0bzronrTb6svCW5XVt+/TD6cXVxKbn7cG5lvnwHJULRqNul45CaYBuvVCd5FIKF6NOTgac3ObGVinpoweC0sWRoh3Ld6YOvYVsjxfWqHesKY7XqcFekz076/Yn7Cx35bV3oUymZ+l4rw7fxYQ+Gy76/TsbvBYcBBG2rO47PoURnjVDxdJ6OZeMQONMrkuUiJXScyvRe/473ScZ+OfjC1vxXz72oPuouHpjcWv2o+TD12YtM9IMP6KcxnzL4hr5AUBDq5Gq7yyBseBZSIoZaw41B21QqKRiQEIgW8yadreQK6Dv3pgl4rP4huMjaZfchlf2t16hC+nn2tb6g+bGKi/uRZGOfklu9zs++Rc/nKxN4VdUL6dE6rKQGqgGjVp8WZmkElML/ZrDTSnKxLHxhkVL5eWranp8K+soJLbbxMriAnRZO+9eiS6wqSzy8isJ0jvdch+/DyzUP2x4//UrGkSMCxNcmmRRRXMIj/NRhQgtXOvta6c07zU94JfSkZlQOo3Njl33JXjPbMP7IxVhjKcwAmSmNqEkYcnw53+px4PHvuqlc8Nb+pPMrVkKwI3fInXhQNm+2/SP+z36yrblSCfLsJjNBl7hEcoFYXe/GR5fZEoDS0JnYnXUHURJjEJcRwe6euB4D0m39qfoM1lqH1Mf5O5nlxZSRBMhXO/tQTz1alj2cGbNmlJqNh00A3IpwIgPy1OL2MYnhg23Q9PnmVeGJw2T3CQ9bDvWWLKBM+WHp41589BZO55xclIGz/zM8P7jUtNCxhghaHjP8NYfvB9nf/jEjbuBjy5dgB+mJlboUvtXh7Rau9FQr8jbZTjFsgytlN2Y8xRSgeWbI47pfC4bmyHnXB5UkJOeSjtIKHULl9cvFhRHOzgHLiH38FUC1qtQEme8Gy99RhmmD2gQFAJC5bhqXHj6+1LTKLVw3Oqql0MD0P9qO/qYer5KLrgHZ4DfvJw9pydZqF58pLDSBCHFJ6WfmGEFE2iByVELC5BYyW2Ke6OBFX6DuI2mJt3bCGbWSAGpVWrraBXzpefFTfnwlerJgwvDVrCsS5cAMDm/m62EkuMWsBnoVuPYZSMedrjOBoy3jso2r3Zu8xx8y/QWVv2phrUX72uZcWYwbcnIWX7YtvOwRWZ+9oWYsug0Q43NKkGdjt0GNHo9EIJR6eNTECYGim1hqx8J8woRDYenuS2JH0TnnjWS0BqKDPXqJL4ytZU/OHBq6QAaAAgGCPq0F3v1kFSqqIHg89udLZqCuTXfKYUOFUAIOpcAaLP+pfDcDXQ1l7+TLtElux/+oqXh7lHHC5tzAMw4R2baF5PT8ejEwMKJfgeVdoa43huLlQsKe+5NudNwdsG2cnmrRsF1ZXNA6q5e0Y3YwA1V8VsoBILQwEF53dqxSyOg3ynGjf1JhmfbryB46foVJzsKzX7BsteysjffOoYu4Svo8nGxyVwPsFm5bHfOht0AjhSpjKullN2ROUryDeuLyrhcxTjFL0iz7kKH9M9gAr1LVoZRHo1qgJsPKeVi6IVxF1gLqHHdYRHqRCQUg2MIG4p4dV6BcYW8tNvHH4vmTFulY0MYiUIpKvT+3xhwrZqojwZ+cH/1uOe89560LXxIl/CZDrnerlSXypkDstJH3MZXEQwhUCTfEGI5il/uTHZsjRWZQIaX9dnTmVSC48k42KXfI3E0CFBtVrmsQ2sWRv92khIqwnJYusd/QH8DWw5ZIMBcqxRW8UzSF4i7+nB8diid5Cft8NbxTI0y3LoE4LNGqUqXVxw5mELCSCS15GWIWCDBUv/xbY/kya0QtDURjLCRwsqSw//85FKKgAgNU1MhrbKgFXZD4QSawmIYgfI3rPJqa3UED51wm0xNGJmBC08LQja3coaaw2f+3RIBvUgRL5J32MwmGChVbnYqBEIPfZd6CL8ah+olmicV3l2XF5WEpXldl+ZvdklvThtjcVf2vcJbX+6wXYQDEOGLhAnSNWiphP94LEy3R3mada2lmQ2ddJSaPv6W8VvSd7hvnbHxOxpr/VIVklBoDE2jcYSkIONKlkHa5uSxR5JzUiqklguWrDs6abGSfuv71NnTXWfB9fo5f/q+qk1iA2KgwKk+LbtPBpKlUgHQ1CLatxI/Hv3hlQ8RvWM9ISPwUsDl8nGh/peDk7HMQOaIadtp9cRcCXVanqL49lf12ZHorPPV++aRJEfn3JwXaaznZy7VDNLxu2qYtZVmzfI2XW7plslR2tOCDieRJoQn4XlKGbv5iaeO4BkyMpa662FrWQxDP3MzdW2O/Ch/BaigOtEu7KnUKoZXmRgkRsUlWnP6eqtD+aWp1AqxBMKwup+4NRjrxgniWeH7R+rmo0aM8mELluH52g9cW9FCuAfxeu8310JLjuRQwTPT8p5Qa/6npqv01N1S8CitFqVl5j6+MHajzl4HyIVJmIMSUyn1MdFR7rssRELe/OXBdHACXXEsChN4s/zZACOvfiMmcRl25283AUIQdLCBs4+pPaY3ouuZuXvUraHb7jvnl2fTi77F4UtNtN83OLBpb16s+eTyLrlx3Af6Un703lWbeMyseIav6rsmKed4PWuJy3evszsXK0rltZXzL1cThOUa96qpQtVhZFqTKiYjyyUrHIMDLw6njCBgwgRUdXjaOoy427/CbZ1pStEyYKDnhUJQLFQKjwOlinFYqTb+97g7yrxJQmqYJjLdMTxzXTC8z8RVnmVqQZxCaKC/P0PkRM5Pp6DooctINuXOu/PC6VlmePrRymcmZnDKsb2y+2u25rfcE6lCem5iPLddTUvzU5EGuRR0uHg+KhaEO+xDYuXpTQ6nnPV23dLspqN0vjrHTIoxnzdkA7TiXAkbb5lDX+mfAOI8kh5TrStrb8oh+4uNsbrfy83fxiLVESwFcU8IUszyY06RyOTa4Y9SkWdrsof2dYym2LRzlr5iopAQGeRRBfR4tq9vH8My87pF9sXOFMxxeLD/Ejo0jt/23fEvE8mQdGa/QlGJjEZWnEHzbq/91mjlh/rdfCr72rkzv239w++Cv4R/jR9RD4Sw26RZd/jAOXFOuGYSKF1/dUp7yD2VnhIhf37ZrVeAa20y2xFNwkygNk4/Jh5jO3DiufaWKUoNbrFnPnDCqmqo8OH+veP25pSSmlE9z/WL+yRTdN47F09GMJ/oXfPF3/ro3BCdHJRWE1yCYjB2oILh6F0HG4VGDlzRaIztc+qcNvXTSVauH+uw5RaPjx32bLQH1ykfw/e+WsWZiYF74gP89v3CW8a6A1urm9KSrmS9sYh6Iwrni/D+3KaB4sbZRW6Zz/OJ9e3br87YK2WCIXbd+4H/UWQGTpxxirCgBvV4NcdvgLHAZLCgTfLRvwCwXXwNJTbBtpoqFEmhS9gqs+RKB32eZo+cWiM3EQRSi85BL82nuKUVaCkzmaFf6QqIvlAP0TvqmwvM+maPskag9yfBkL7svm25erVRXDEamjofm3WP9nMxmvIgCqFQCFDJGHWyZho9T/qmuh/Q95GF5ew1/yp3J7NwahX8Kh4gVVzwd+j3W/KFbkQh3H5/Wl0ZbJmp8PxhzP3OHVb6LkntzA5Pc7nUAUGOB3NMMlqjFmucGuWf6Mw5gqPiBxZ58rbi9XlrruqyxSdi1V3HTpfQ2ypU4hPyfV8oGiGCAX+4+1IT5gqU0gPOjPkZudb0Sd83YkvYhuuRNZro8SDeeU6jKc6LzY1m8avEJJdzT9KEUQuAfjERngjFJ6x4i+e46vuG5hvWPq/O8kHQenPOMp0m5j5p3bx13SnLzHtFm1MaoVC9r3JjCun8taT05SJK8ciUDiAN1mLryPOWadGLIfhwy2GzfnMp1ylwfNbcWuwUW3r8+y66qBjhwrtl6kAQAjS4XXiZo6+YGg7DZBJncT/FiwHYf8QbjA3kmMu9BI1yHroR2JoWvv+4VGM/oYTdxFrwiesNE3Sqs0ihIyNBbHi31I0gLihUVT4KZ3yrsqQ9yO4t7+nf8Tv6PfOl/AGZJeAUKgFoKZW/JygBBEiAS0aqRAHgc93EhPCIpHbFur4KD4CCHkVmWMZIPCy9Kfcr2ZTDDtSdvRsY7lcsWwFvPJGaWSk8nHkYX/akm+XFfKnsmC8ln9uTw8FMbDqY9Yd0mZCdkMkGoPMzZb8yCqTxOIGjNV4Mj3aHri8c0RWzyAa6hx4imtbhOapZQa4c19T3rXmkNS6ANSlc0lvgKaCubGiosv/URayEdVlynIyyMP+PpuFLPOZmJQJHQnmraYMrze5NrOytlXXNRUwpmI2uAU+GJQN+0IO2OB60PTcfmWhAYJV0dxCiQT9YsEgvX7v32mVp3dI25NDM2/uW4U30I+JbdImd5nHh7CHDrZPMOtLETxELPHQK2A52ncbSOOxMbndJONFEJQje83L13d6OH55BMz6hStnniuXJmP2i5nD2hgoQKpXQoaG5sDHRhsH5VDrD3B54gFCne9pgA8gV8+2BUT7soQxrrThMkbTg9bV7PL1oONaewBv7Y2gUj6B9ImHUm4DnulVuxNggR5N+THF9ybgUD08kBNf/R5K8dgyhCWyWWMRzU0t8s5e2XZmiJt3ZaIBxpI7cpOMzDhwm4JEzEyCR7eTJaXgeRrnaIJXEQ1wltf5dWVhDQJ9q7W39dTk1WvvPXsvThKW0bQwfAKkkHAajfISwDUXRf5C2TsJ3krkl9IaNJjAZ8uyTrtQz5tdHs7dGU25stH388E1XatQ31YRCE/5WFPCC4u0U7KNU6ra3UNgH9cvfW4TGzyP3sJZvHJVWUzNZ+mYvy4bVePTAY+6bxK67V735abZe25u8TPnzjm3xgD7CdvEilr3TduTQbO3s7AZswI6BGAmmfZOdw8e4kH+mZWlMq0b4mBfe7Bt40ZfhselBcbM4OlqkvecMBrjHDY+e3X1S8kDSvR3cKs/dI9/1SIL6AH5rrn8kzef8hfZBx8Vc1SoLzBdLx6azUjyADbbaDP7A+X9ol74breBC2Ehn5nCfKMKE/Mx5793uDBSmTydZM5QQw3vf+37i+jT9jbcR3Y1lGPdBXECAN9Z44RGE8t7LTE0Qb1zKafEsEu+/YDuMxFFX7/BFFzbclhnQNDVAdj8yjoagFgsAaMnXU06xxNMwiI9GJ4gUkuivP153aJ7kdvbraxlMJiVsY6+QKdCbGblMsfb2qs4Me0pNtAGA7u88vnQSnnFMyM4T/T6vChJcFI+CoXZFBYkm8BQZKcg11PV1U3/M50/0RPpuRNfTC3fY1xE1/Tz4EfVCIql4gUZ6KrP0hGs8Eg4ODO7P08vqUiITRNP18M87tJ7JJ51vncXaUocFXt2Uqi5Zhy76/PHO8XoK+MbbzdKBpWvSlpB3mg2hcFUEFyLu69D/wbxnPeZg1b0ilIwEZ4IC5qsi+UYvYPyhKklACSDmGRT5CBkGrzpTxWzuOaAVdinz5DJZ6AH0Rr14k9PzNIrOIR8S5fOEZW5HObhX5akfg+9/Wr/VvHNrg9SVZeZUqhDeM3dZuqSV57Fv0ZTmGhp8luHGN6QtYfsBk66xvoVmp8m7yCKYXjkSdY6y+oZC6qnQRDoWQ4br9gnKZu4Zx3PUX4QY4f6gAbsf1Czr+oFu3lfy/VA+NYJA2vOpDiAqzTf/hVx5u2B4WJlZZb6BRog7r0kPJ+bpdElDkEsLXz4n/Ra/7E6476Sg8FEUvQzVAbZtzaeSOhIBu0xFai2G4ATODJAurLXLiQy5Eq4Epzu2ku4aM5O7rOni9Gg4k1FYAzDCmes32wAwpUgbjb16m8EsrGCEx9KHwqM/q+tO0Yzh5n091YqMTbWhzVurGkRfBdjpetF7RGKBgtSzXY5No0arAtSnakvjcbltU7tKNl8O0Kj3ebkuTBmE9rWkh3IwUtfwWQeRdyXlLJHZrxEEibDs71C94B01YrVGahRTVafUaZzyT2TZK5eSWjhzrO03O6mAVW9pbO4mpHFXITg+RFy9RHjtKMfuG6MWj5u22uv2lI2QudNaLfQiWSRXt/V739+lWrTJl0JZiwlzB9Sou2+46KV595x7npzdr6pAMGRbbwTt+2bp6IaIAiA+m/ywVBl6KSZjie7Y47osl6VzA/1ornuOKRVbFi6wq0uJD7Q399MSHnaTXoYOeN5KrkzF7ztfO7Xo5Ebdi6fjL3VzKSIBDt4vbYg1Bv10yhU8Y6xqd77/VJBvH3q+hU+g/HBLxe9k7+cjH/g+ce9tR24Ynbs55gqPOrP00MBkVcKNZMc6/AIm5VJd1igaEODAheFAqOBJNV2R7icJivFJZ60ObYUP9FUAt3qSvsOts3eoibwoH3uhGrA/qalWTafPm/Wuuh+K99kCFqv7Sx+fCX5QmbrHfMLGspjqwPa7SierH+APsIf3mqG6ZmuWDIE5cGKeSDS07lSBUGoLePNdPirTvpL3X26KR4gT54CHwdI3KmbRAl1gvO1ECa61jlYYcqp78dPnT9UzS/AcEpIA4CkUQAU/h5GtpsL0i5PaNdOwCf0HqH7vk3mjYUGWSnYqk+W/UiQSnS4qRYUoG9E0W85OLLTp3mbWQF/jG8Kz02s2FXhQq9HaYQgGL3X8JVThqHwt4bwiAuy/aoiLM1gBn+USIZ1OQK2EydlurMEIjm4N2emcALZU1QenDaBTSZbRTv3zJtLzdMDynWc5ALjiDSea8vgiNsfwAXjklZfc9GkXz75dFqTRDBPViPRPyVNpwPaYkPjuutBQU62voAGkcZsmTPIVfcNam/yMZAw2xr/Cpe0lXixWDdp6i1ZRDCxAd8FZIGQaJTTP/lIYxx40GJzGS7UCJKQYy1R7+beF7zzUCf3dqZsnf2jR0DoIucUdtZyQUdMxNuDqb2aieNAZ6dAImAcOV5pK8xr9GTkM85lqGg8uSCExwPrtZmO99ejmGK97dhCOwx68Z/AIP0Cf9Uy2z1LTj6u/RXGr65baV0Z7AdwbkZMKF4k5jU2clw9mZGRroXy6vNc+7JvSCnr6E/MGgcDkzWBT2G3fysBks7pKLKEcr7TcCHlrkKZvfFLHIh31VX6KEknFu9zaGHCRISfWVSUSnzI6YFIjKIfnXNwkP+oTUH53t0MkkjUkldjtUPaWIj6ODzkyjegkpK8T+2I5XxsFvYtUdj09vJDcTSdjYx0jnUPmN44A44XAnHNtTPA0tLILmpR0kqBwIpkMeWNUhP6bz5qEop1ZSyDpDsUCsN9jXyhGEslAhuRT+suyEgnkImw0FNhx7i1LPn57Dm/ud4XjtMvfJlQLLVSaDrCu7sZDrEatAkut0hUsTE2IU+pEIhx1D3tYiQzYHXapS+QHGRBnpaL0fBvl/kjSylbNn79abxB8WYKIv12ZDIlscS6hxmMkYWd6auq5ckmxkz+bCk2gwxxmd1BiguKRWBaqDCCcV6Y/b7qo8zgaURlXCNk2Oj4QGcYm7XPM3EDNmCH0HuthQqAICvVBmv4gDwfbqIPNp65ao2GvuKgaPxSL6VXDHnnqCge8PrhyAsNdYTzCsiJR4+3mbLYpxkZxGtabcNzPQa2N7UQQD/myEol0SVEIVeBx0aoAWTSBBhFo3Y9PNisY5tDxH3WF1T2rJknpOWH4odfCK8upDe91kwfHtWbLPpn8KLNiIuHZYHzEP6nG7uqhk96IvNTmsGt9ntGeNt8diYbJFBqm4PCwKq0iERBnL8p92Cw92n4U4yichL2ACsESfvRs2/jBa6FogYr5WNzNDgAqpQKAjveNcltEiqsBNWusEdbvO4zV59JWrp3SkPA8Vp0eIjLt+Rnhrd9a1Rpgxyjev5NWZ4OW802V7RUFkk2BQFcuZJOBL9S8AIMZkLCJGGAZWkSXCAaHKXQolnt+YkquslINdXN8Zd1wtHHL6McXpOSQb3Ks0cC4glpID6io30WF/QhIDbS6zZrS6oK9dXEZ8aZWlGb5FZc31xRDLtYf3NkuTtO2TafZoL+WxoatfFiNgj6gZJVd5BwmqRL3DyAie2AwEB6io34adWG9esfhXGrn0NHBnaUberlFUX6WgEgQhRVqvqRldU/U50ZCxTyaGshJk8duuQulyCJ4szxVm1GO1r9tmHhfNblHaB0gXs+Vn5Nzp3xFmC5wKwV1Elq4Dmk1vgWlSJ8P8RdKAbUHgEsbuW7hV/7Te+2bB9XfPfeBGtUv3oeqejKGO9JNq8ksCACfBieviN5rOEmKVDqduFo51qGr/rfkoxVzwANg6/Mj6MstWyeciyPZKRyrCoRqJOhy8WQbh7OEX+uRlz2a9taPxXikthbDCuAyQAEkECFdDg84Du5SxZNeCtRyyF6mBpatcvAJabAoH6OP14prJ7zxJEpAh7wgYhMh3Kf7K5IFjyQcRUJN6RH1gw47cbPF5gHKEXhPh4v2SWGyVwPubdmczV7UiyNosxg6pFT2J+puFMNIBN+1O7xBkJbi7rgeyeDZntcOJiQyDkUG9FRZrwD5ddIn9I0Ve7A0lKZ8OlswGuyvNZ6WKJnp1Govl3m7wqrQjA13D2BChEuJOY5Lp0U8HvSWt89WXRx5l25kPyXiPlK8ZMNJj6sTfgsAaOSRlEpzasoDwn43FvhO8O2+sLJe8jk3bhBrPlSX8U70vVu463eAaBZNrvVmKYW5OJ4NtX3y5RiyDnrn2SLe3Ot2W8D27LHBpsR6PRzJpo++eld3PEUqCL6kJLdjqdTAPD87yRcMmgFZchBNvmrJpw9HoTnQB1Ti2iOKl+eVlVFI9jRSiDIpKRmM60YoGU6zjEu80L4dOI9AwTmsKs+eKIwv9soKKLyPVWbavTCeyqX8bTOAFrtacZ66LqovLTeYxGdAicwXf796Gtbpyx94Y08LAo9UfAQ+hya2mLoLxmCT4DI/9OSwINer6NFgECVgXu1thpAN1DNKIuqzZFEQnCHJbM8CvMjNBbmwx0Iu6NSe0NGwxOM8SLO4chmO8E1z2AKeZzn/LDt8a3Z1igtEQmOX253qG/2cZMUHK4jSFKgVd0+TGuFl2aHuFBCjLvE71+EspdU6vCrKkrxMxeZTWUkq2sMwCXiwO/lr5Ne8TTef1u6XwWU0jC3M7b3HvPoTs7tQ27Ra91ZuN8kHTnB7nT17M1QltezetpjXNn4Q9WCi6dw8FG1znh8P5NJ8iOEc/MXqXXFzaGkutmF/AmcxOBVO+mZ78sI0ST22k5rKk48LzwiY1PJE+g6KVZni2CQ/506FfIO9ldnBD5+fXotuOAlw/LcDVfW5XYSX4WgCmyUFHiEbiydp0mijccwFeXplK5uE5fWg+1aiAY81EQCzT+L3kvE2FkjAGRQGpVsUACgbnxMEAagS8CIVCTmSV5s/R1pGnxqtCVo3AJnM9C/rQUPlj+68hggF5wZJQP33J76L37q70zXkobjXk2Oo4A++2Ns71CN6sNr43qeLBthRD0ffVhi9fXX1wsrbiPBTTrHkv134zb2stJ1pROVe5LSNPj6fryTdXP1QgZyaVC4OuRODqfnm3FopliHesqMKy4MKhZNdL2+xzmAkFYdDiRBEOiPVUcGvdFha57K8AdkWqj7h6jQZo8+uRj4w2lMrMhr4fJM7kJVl5k8d+oquXsxUpoBJiINQYMhHqjTOmFleL57o9BSSYTruKPAb4dcdiSMpZBZMOkWmHvvINrmkUaKFkDFU9RzHGPLF+mmY9ZHIhkHL9OsoXa0Mklk003dpewdfOjYa3TwH2ckAJOxhc7SJxGOSZ7N9NgpCmPIFq+tZ3mLdv12bD0vWZpv7Jyjehyb7Lw54850cHUSUYD4He0BYDcbPls/i7duMtTKTfHx1ej267hCwnUndOl2Gp1sm6yYj/OrVAYKMgZQBlJo8IF7NKM1d6HmEYB4Mwb4AiEbiXe/ErzFNFwx/mvvpsf9tGJaiIV+qpaNrRLJ7ubB3xKVFRwfN//70jY+zgyYvfTU4eM465HhTHD3ecNaSLe97v6WXXniWT0FaYPDldrH9iSIGlZEbyXUCRdVaNYNRSXbonFV84E8vAr31UtxkCgNB1Cc062waFCAAP1B3mcOf3Mau2LcLlknSC6uVMre4yMjKAEJ57F9kDuu5Rqfyn07NyQy/+dGvWuqCv6OHGwevKJTSwZ5fMbrr33/9G7V7Cf3Jrx9vbsXbruFEqGcZ+NpI7sK/IvKAqU+CE/I/G6vW/8uba3QbYrXV/culb9c5ZBPWXlZJfq6NeEA1edOjhzqHDndgFEx+rUmoFKo+bv/CJ6qbFr+kVy38p4l6t/xt2KTfdMpLPVeRP3ZM3/5NS33R/b9J4Tn2PvDmz+a6W9d/8jCb3/79+JUbhhTQ9Gq3Gx2CX2ztFKZ8aCrk8ZihjoZcQ+Robcydvjm7p+jvIjRgRMXojt2NROGw0w+TRMKHBCA3JFo42vYt5x9bJtr6SFYSFiqF8Ow5PYNtgN8A1/B5lq2szVesAmvQxiup5At+haxk0A3o4SsVGQjz1z1pq1PiYBbMAzmE2DrOgySMQDkWuRg6tKR2jdbWtGbR1PBVrd6UWb3VAz1ctCusa2Ok2dofyPc2qDPRKhRHGE4gAa9qLK7o1JrUwF6OjqGMa4C6txdCEt0B2nYZFeYV74fMPzA3fmLsbeV//Oenv33jnV9BaqXf7RNV11QLxGIvGsUn7Z9rGqdueaU1xpxB/qMXvZrzfuPwfdZaae0AOXJ7+IFkJuKQn9eIsQ44+hB/ezDL0cuxu8l0tA3bAs/SSTmlBQPexHEtQr2DL21PSk7LPH5acvCXiyy1TsNp+kwmCuFLksboubcbf737qW89P15qrZV+0BSlQiasqBhGI/jvkZ8lfsf+pkdSI8uBVciH6vOjxqG8pUaquOI984UyeD96tF0nt9aUBzgVwd5wYs/UPH35mJTExmiv/OjVgEluMXzRcxAQDhqH/tW/2MNZ1W/811/bch7DINK5tLnYba338HDLcEf9L5ouNoNY12Cg56p14q2ipnufVBr+nn/Q0vDpL0+b9Ocb1MfvxEx/ivnYt5/7shNVezCS+n+2YXW4sin2wicaq6G/3fhE5Xs5W+W/HRQpBAqhWHzdmiNuU/+R1Qg3/1c7itS89CmwVqEQKroqrkGvQGi3UqbGsm/9Ffl139cffKi6SdEka9C84rzRij1Tu/ve/srrjWOO4b5/nEuY5Ob6L/r+OSSAwaubV17v5TDN727clKpWjFUN758LW+r/WRxiCQJDhu2aSqx5NN5Q/+e/++nvel6nzI1tvzV6ftnJNL01ePlu/0+uTJCAvPbhyTv0vLb27z+Am26e8JsuEHiP4Z1ftP3nu/TfmutcKskv+0a8MiHdHr2jc/hwF0ZH/qBJ5Lr6YzH/yermP37VoP6jvUOUR75tTtJa/ZUeJISf//nvWGPJ8yElOJe9lzbemHfbNn5aLPR/vQ6+JlQSTQ3TF5Z2jj1Ts/vBgPTVRry5bUL00YSp2mz4kucwALjFnn/3f7nnU2j9VXko2ykexj1271+5my/RnU11V5mR5muyUT702pfN7Z5u+6A82uI5c13UMP1ulVHmaRw2Dzmtn5yJm41fdyg+hDyD58LXZbLln//tHt//a83YXt8TXQYdQ/t//y1TTJa49LUbx6s9pqrqLzFGSe3mtfFq63XzKIN29tneOHjz8M3Lr3eG9NcqVLzj+7+68NUP2hWA8e6OFzPjl+xEtj0G9H2NPLa6+VbL047GnWEHLnUz5QqCAZgqUDGNP3gIMgldzu4zughT02cvFJ8bHrEY4HcCXfrG+cIkt5pWyrljnzOqce43qryhS321A/BAj/69mGlQv3kzyQGuf3/5WrZ3NtSGUU+bJ9zppzqseGlzW29zr9VOKjWvK/5ieZ4o66PX9m0f2Jm5ccg70prJsHj57OX1KPV9uI2Ria9adwIh8B50Aj8EHYVdokV8lCq0jBNSvCh9Z+aNiep5JkutLUBiNdHuCpgEX0UTOIG/21Ij8vKtZqlaredLuxONhzLnwYctoFq3ZwRf3CKf94v4NHhx6MSTAL1FFMv/taWZelX05fz/DV/O1vJiyaF62QylBiKD3Yc1t7Y3MjXWvTFtsG9AbavCBNCVwud7UESJd7mBzrE+1QmzSe60iBbZHPAQqAXgY8Jei9J6L0zi8vYxtijV8MOTtrzv5glP9Q/enKTljXKKqWb4n5PZiowb/sQoDGDdF11Bl/MDsPl7LQeGFZKvklWT97O1DMaRmS73m1i4qUbAtj6WgVDi4/qbMX/x7VavrHNE7isGJBhMwP7gQGM5b2zoAvB6s82w4m5voweC+PqRktHFOn6/VvyMgPt8bbiSqL5s04KOdAmsQnEKD5IEm3YAtzs16CDqOr8H6eq/G4wIKF7s/ftUB/txu6VbRGkL/qYrIWBSK7TUqL6OxNCrHgFn8/PFCUjtQ0FHCwIRmUHD5lTxsLyxvdn88gHmNx+RgCfxc6N+d3rr1Lw+c5YvJ73dx+zsSd6m9fr8gZ0pLadyi+zxdiENbuuOYnnFCS/JFnI75oaTEwb+XEZaf9FXhj7SRELqzOwAjYLzHlvaeUNblvlYhoqDZCRKlG6IG0m1i5aZYFhoAHangWAX5+EmIuEjHlfXKdi1Efr5M5SfOS5n+AnhqIPbF2sH127L2aGzyMrO1/xcxfCTPbQ9mgdwsuJsGPUQVT60NbTk8U7+AonNoaYnBYPUngw9eST4gUHsvR/oUYOb7Uoxu0SKLsez6t9vi6fsYxP81wsgUQSTNCQIwRl4EoyRau/GN68ZZXAe4XfppfOdwkePmQZEDMhNfIOkgrkyvmhZoDwa/R0HgPfBOTeba0Px1hAe22HGrSfupFTvPIdZTu9dPzKYtOe5PO4BYKBLUdqyTHclgd8drw4LBz3BYtEXtXAOcMq7vSXY+wtlPVLrhCw0/RH0hH0qPhE+OuRCuoqWjd+h3UeLOsogmBg10DEM5fyIq0UoH70kDnL+JkNY5KsvDFq9ZhOvGP7lpVXO3+cXT43on6afGVPjs+3C3PHmVstjVcNom5UvputtTZ4xV2FicxlpYz/zJ7iS18hwc83zrPbp+/cV9+/MXj/ki5rJma6csTW65914Lt1AFVzIp4h3PRJWc+NsrH8kw+dQnxalBh3P/JTbECemc9g2YeuCBrxikfiJj7RnDzW7K+Bc18L24fkYQiHExhbj2AXnxAe9IDW5jBlYnnPQVz7nSrn16kLK7XA2BFB9mBf4MhfQBZC6Z7K9lqjlCWhxYM02hWTLkxxlyy803t5IG0e65tJmaz5KnI1Wodh9mBMoAKbJiIHZQT5R9uTG4RVLRIwt9IpMZJbLUwAoyztm38sNZHVNljGbYQEPOmEZ8318Cvj6p8fWuiVdcvOgpB6abMWwu7k75v1qa51FY816NKW5igj3ged36w8KQv9q3jhZOODiUM49dwUhVtMPi5vDTCKLBJkBF6aW6bzSb2QC2O6IAAaePr6aUuuPiYePlHbW2xa8ceR48eMriWrn79VHxAVrXd15/Yew7/q0V9XkEJntHukslrcCMhsUrDK+lrNSntSVMhvz6lKsB3GduuxSbuPmwg4gP5sfkunP5mklX9ARMje5Ujio+zfLil4uLzpOoXMiRyX2jYjTg7GM59XRRUsmhvHR6EsOf6bH4ewLw9Nn1YmUHSmAOWqoze/yhDrRJ1y7V1S5KFZTWPT+vDUjC67gzcggR5bEokqUqHIcGvUsEKkLFPcGuE5kCwL/eiyzcKMw2OrbncRC8gATOpQYHlyKhy5DZGO0IeN9lOTffydkbkGk3fjQ07hllf83K5Nc5PexaNsL5hbpXdWZI6RKLp+l1nMe7olzAj+b0pMqqDIzjZaTlRXWiPDocKI0/V9WJxM/1VNoye0YVKyYW5MpuOeFc4Xq9qtPDtTn85w9/x1nlXH0TFfld0u9nNnPFSggPBZ9Zv8gN5Dv/m48MPuHLMB84qc91Z59SdosSGDH+FWtRUCfT/yKQBk4TARqb7fRhfZapuJD7I5HL4g+XZFHMtWB7dM6e2HvYXCb2GQKQ+zSe2Ou6KgzSw55csAEkmM2QBKYANJgBvBTAMRp5QIZe6bnmKcSRAhvDqIJ6++NDKfOJ3+QxCnWJ37rDgn+rRqAubfcXU2nJMicp2F+DiElKJqSKW3Am/2M/mBoWHAPPIVKgD1LMnYgWQJYdgqT4jNizeJpKCcZIkdQCHiqcUJs2h+mx4kpZAKKwjCiW5y2WK16jcKiUOQKz4rWz+GWz1m5RQjUASZCGqcX0Wmgb/DBfBOrkOKWZ2m/yOp5j9hXvYriVTaPtxtnkkfUhaH1VHBK50H3BqPdGEHVYySw21z1FFIb0D1X7DPkJ3W7Lm6cjbLLjXKIZ1tfKxZ0141jARwlY/SziFjg+G0KlPGi+wnbt0xJd/z0eS+hJekVR2Qhjt+qP0wMwvPt3vqNN3Tp7ul2iQ9ctEGF+iYvn2fYb4J7x+KsP57z0PR3/ws/hs79Rb93B0kiClCXoSRlTmvu4uha2ItjU77F/bKH9E9zd9AV8HOqUCk1wf6jdQzNye9KWxKagRfQWTgFtQonH7CZCCPVA9lHbiXqgbvklsDmYa6mS6IsTB3Tm3g/ippBp/MZ2tiVoqbF4IkOvECdSbeTrNHIMBwdT7C3NqOJysMBn14ojXjLeR/NYZMQDxCS0Q9TDUqvBYm4txYYjO/hKkuPp7KuuOR3gR4GbdO7kpGmRtvSstajsTQ2/JD2Jk65/qVSsahfVLg3W/fM2mZhhxPteJzrJfq9IZ6ZBqeBFOaEvbnKTGzBd7MP0y9rXMpDJbC2ZAcKaQsr4y7GVlcYUYYxxg2vVbNjlwH2+cznPhzg59q2UKZ5vq/p+xgJjrQxfXX55ossFiKCaJ8mXwJ3aoukqTBX3k+iFDq1sDy3qS61jrLjETbueOXEnYZVaZV7uYtoqSPcE+JtfpEaR63/ZcJP8E2TBE/4m0enDGNvOTeX39uetYN7c7eNxRsgi6lPZVIp7gB6A9hxa/7zToPvt21fXIMElSfErxiMhFTfVieqEgmRJEVRPzzUFhVofS2d2bBJR2k3ieVb4nf4AhR26iyuNkNXchXG1zYjv/KOB4tUZ0dZ1Zp0EV275cXbsb1MSdM8Ao45+8hvIJKJXb2y463+34LayZyyIam3rNMvgjizP2Uddv9/GWDu0qQAWTw01EDy2//X3JazF5u2iCfkUbliKRKAbLCYipXIV+WCJph8KKJiSVjkmLgQKnam1tcmPTCEzeb/3ux0TsneOxCBICmIRRwgROhfBqnp4tJlrVIhFDMmfUkCg0gCYlUE1fH8cdtYD1ReDh8ZDsAYoWIjYaZhN9RpVIhlK2qH+WO7n/+l+A07rizePE9FgP4WffF4/ih3XmgSDZqB8mGaJdWDY9ffW7GYzbV7RX/c9qJOHFQ2IvGpE3Bsxhdthtg1WluHdzYCN8oykSB/l3ntWoaNhK/ZKN7pK0uxLSCOjYmQCAABnF7Q2/A2ejE88eG7cW+skjiFoXLeaR6nBb1hj/nia7ryFf76I1ZJzbh7EmuTNOM1lN6JAWQn7EuwjAQGwhp82hOgxqHbGHearzq3xMVmwsCF7a0sE9hsZAXFZyv0ArwAjBO04YwDaf8h6TarrgGmKX4rPvUWcbqTfi6YyAt7Qn+6dwxs5LtvAJ5ah/bSfTLwxqvPzMvu3evuPMAe5ND26f0GWyBnlkC6qM57LZxOIPNQ94TVLCNZtUXFm6qiMuAzm1NWnz+uy0ZKRxEM8aThIE0TYaRTSKBidayUXpnxQlSOT4zjYsfLY6eTjslPPexYllZX6GhuS9G22cl4YEu+B8DY3oKIwXYSR6A+yJrNBeF9Fw4BydR9g9SGo4CXD4WuQ2WEpi7hzDebgnT0wCc2eF/JVQ+f/oK++aWIaFeFI2KfE3PaYAWyCq7anx8JJppuiRqisOrtB2pLTdABIWU5JGhZiATC+40AJ4IZxBIA+z7okwQ7N5Pp623zqNNmaPrhtyxC9n2iZnMJA4G5kUKgkCN0qjAmdw2Nopz44iPH+wWWmcXFMhFQoAaYhUX3FzXq+m9WXAt1IPdYr0T6pPEHaDL6CIsRSMTZWG0kjuVd4OEjxgxQAmBcRK6LozIosE8KOWBZUNZmtmBakhKo0i7s0pPAloIIgYqpvwKKaLez2Zv5l3mCOFtp8IotoJo/JQFDVyR3v/TvVQ2DrfS2cG0FcRwqqDw2QQoFuLDV1gJIWPTcJ7N5t3KO+3tszlYPZ+y0bZOswToUgwGiZKcandP7UTQpG+KFiwwUUPCsVtLnnjYf7/ORy0gbZuBf7ZrFINJRwPHSlTzoAPohW42UwK0oR1uXXwLQ02ptylYNcxFQn+IIrbZltcqmQac3MztsOUtSdck8arSaGlkq1EbMexrII+VymqMJ4eAxpcYbUYXi3NZUTljGc5gUmjLyDTzcecVf9AjeFTMK/ibxJgIGRfPPuQ93Zv9UBSETLjuCFegwDyZLY+YvzbCf5k2n9SMurm4bSCTC62+tUFcKnA29SRGSPizGjyVZ6wQyI4nCuTd8VhpeLXEEooWvxVI0dCC9truEH8xqXgbtPyQT92i3ouyudLCLILMkXuK3ruTY+sZqHMuMEM3IiYBVdH1JK867o9n99T++z13O+jHaLN1k0MEDOs0Us3EFPND0zGYplazaERcPnWSbla0JefqCTvabiZ1rJq6P11YbR8cvgVsuMrvUNgwdnJPS6pGPRz1MM9zkrQgSItpetOoQs5HK09mujsUJoZAxE0gG7jiLzQs0ER1OfXgaWxlSUw3Vxn/6+EFnH5ZDb45OuBV2glBDw917MxEqiMI6UM6LIUKx9SQpIkl1OaMYGAwVAI+DAz2RvrJh8iGuFZQ02Axmexzi0MynI1AaUrsX7E0KDFKgzkSllKoLo3wT9YqwCoJ0Udds9QGXYrWLeC4LS13gxXuf/s2qZ2v1rAn4QqlThmzsh1tTWPYeHqrRW2+U3DbmCsxVUkIPJvJQk/QAriRALp93855zPRwFzo6Ggr6yvNi5XggFdBwCAnI7uOeHexodxDjr8qX9nvm39820eGi3njO8OL0AFNA05ssxeA702ef72KmQKmUgNGtJZTS4DZDjyl9nBeIBNxGCY6PZMk3eQ6nsy8AZnkdVgk/cH1RsWvfk6MBBtz8k9kavHzITmCMnzYkqUOEd4BlwSCX+1CvWOukJujsYhNZGnVTwzuoWBGY/eiQQ5rkW56HKe0E0dxxkO60KuI/3OUby4Moho6BpuJoeZpkYCTJx/XKCZUhoZeiqNu+HXEefHpUwKvG9O3HK1Bf31wtJKKQ+8B4AKRxFq66c0u3hMI/iluBnDIL+13EEFYe2Dx6YA5NfbAr4MCVUy2finRydOEwZPGpt/Rm7Jo/UVr0vYps9VRlHYhIbw8v+XtZU2T8nJgmh1Aiy9SsyVcGmDyZSMR2KXJtYwiNIyc3uz/5xvisgHEjsIbhA2kREDuBm0lNbBKuA5AzRlZfhUzcO1kwphhlYbdcFqmdIglxCYMMvN5kc4MQDVYQoO8JQAD3arlhi2w1Ip5gPBF0tyMSa1UewWHlDFhtAAEZQXzH2Ni4By0AUmSv6WKVmsidYAAvQCQXAzKZ7lex//nLjyxwZEEDgsOzmTN5b/TePCIQAviVfGnCwJu/s/rkfKyjwVlJ4BSjmSZ1yCZGn4eMYxhgelJPFAPMA4VvypYTb/jImMnDcUKoscaXqnW0XPqss0muvYzU7DjFMJNlb3WAkY10vo6J8LYygbbNJbO3Zi580PByBOgQ4Xm6ljSZ6rE0mYSqVcjSXiNW0vNokZSVJVbUal6tU9taZZKQYDuMjRXQRqlBJltkk3jT/aV9ns/K3+q6r3r3BdkWxN9ZDAiJVdCUZe4rjNsa4ow5rh4yylIkVESNO1uQcMzKZuMCU3NxWxzivoEiR3qUVpIIa8GeDCeo70yQzW+Q1hJZrUowWJSKqh8EQ8oiqU4BOd+mpxVIjdqJWREltkyk8e6WM8ys2bLYUibzWA7iJOhC5qIRC2dfbgr6ayJf6m+874AMlJ4IPL4QJ247hd5O/DntM8mizEIdJ19Gf8UxePyl37W75sfxw684b0r18o687wV05D4F5rrxw34mzran9mT760X9ZbNh7Ftu8dc5glGpbHoKO/ZSYYSOd3yjaWoBRzqTa94ugnq7Vq1wK1Lr3CkBYKhFf1PlCsVrDXbmRWlcHWDk/qQetavvXP2vCua366fMh4c6s1ozuE2MvrbDkJ2+rLD35hvYnzJuaOrC6hn1vV7lqczA2lGix0BK+gBfKU/r1gtJIWHLUS4BGDYkrlgev73aQSfuKwwCMlAxvmgnvL0c4AODvaQUI/pQ8PaT+ITArgoxS6tpEFd+ouOYj23+jaQHaj60M56i0hkmzV/zjUIgyyNWjcdkyx3nQWGeBakJqqwejfGP5/hulMErvHuC2jsEY7IPuXavYqTDUKoYx2ZIzlwrUIvBI1UNUJExm99xafJ3uo0rPZEsq9Sra4nzm7J5X6OmItnb//SDMHSjGFYJmZvcRFxKl8muBBqkZCM3FpX5LjeHhk8vtBmphk7snriWBJ1UfeyeGfMV30X1XWyYv4AcsvwjLFOiqzPIVibA01sGuwhgIlLOZGgs885eNWF9Fd/XQv8VRLvChhAdh98jIm41P7tzGCin9hZhdK7hbtGAIpXRxoRblj9b924wKhkF6Z1ea4PCQ8W/4dA5D0NHDY6fCNFBHbC5liqk+k/D0eLSR/WXRKj3OLw4BPKaEoCcE8JjcUvHJ7uA0wUqRO4/kXHmGMNkArp0WY+7Ntq/VoIxTHjjbp1aGo8DEy6HAUygDo6vZlXhgWJBwkQWWKRqE/IgFvMWVYkGknaFOLtpaOHZvABEOsFzanwB6O5LJt1/UQAk4aXdyy9Y05JKqZNWZZrODqYp0dzJYLOsJDGCx00t0xXuDnbi4QKc8SEwat028UhLcuzbO+ZTmxRxm+wr6oLIvsIYerkay2g9TPu0kLXuJaTF16vLw5q5lLdptDYy5VBXQe9RfaJZS7I4rPpx3dAi1ERe2KpkQmkSfBkPGDpszXMiaxwu1V7Frdr2sI+jV7TsW2TjoJU6Y6YPmmn3OLlZasXKX3sFDD1wpEXPWIY2fYOdNWTQOVlqRvtcyWhblGP7HgQxYcRaUZkIwACCdp0fY8aedEE/OFzrCDPblzUGmqYypAtLAZmXAXwaZqwxk7JObfU0K6bQ3ve1HlZnbmp1GOfKn3dBV0EzX1jq21gEXMbWiCJeCS+psujnDlVt2hI53//buoV6aVZKO2yHGdE7tDNu/v2YcPodxlxtGGQNw9s4gjWoDDeFq59iqt2947OamoT53TI9ZXGo0QxnFrhwq1CFcOHS0wg8S825+vknlU8JtZo6HWjElt71vwM80VvgZoRz0/bXRANp4XO5eGnmz6inHRGAFkxPtXcbczt0E+kZ+1O1MKn7sKXB5xDBjI9gZGUg9s/u3Y9qgnY0eMzn45vMg6GS6m0ekCrpK65W1/7DYafmaTk6WElilp5f4+XzTml/2MWt2wWZrIHnHnh210Ba2LiGXuoZYfBC9UP3b4++EyxUGtLxQ9QY9FjMwqcefiTjssnGhKjn7NzJ4IN6sNB59IHn/uVfxfWYRay5Z+6yNXvxYYdSfhnGBOS0EogxeWJ25D0qy6pjqzC1ezlrwgA3hSV6xLKSbugmlvxsKoyS5NcOD2lh0gSsfrIjXRXz1In+gzwd3K52n+RaWB4LL6Eo2ToE3zMeI496trlwlUNtW2umqOLq7zUktDJgGpoIkG/nCVNelJwQSvwN+bUL9GiB3N4D6gQiwpuwXMFvFtp6vleUsox9oWoU5bsathpLm5VfdsNZrnc1NHzr2SSEGgI0GC/K0y/am11jmKSop5sCG48YqwGOnkepTJPB1qijkBVZdq0seJ7KVKrerlra1PonjGHT/fhnkAUgdakdcyqq020NYyhjtmIsIfdrHEeOAsc8maad9v743EEtZ+L+WfQP07iPaEXpPF7c7+QxzdNkNeab91Fhe2mOlo3h03iZKBIRfB1IfqPJYsAo5NOHpmR40HSVkDC/GDVVbsjGNQwUVxkqkFGFK0uTRNmW6f4RLwR4iQ2IIbKL05PRfEl+05xeknnzu8LSoZOgVC9goZq6xyhEUPYwVsMoJQQ8MlERYIHk/3gSz8hOEmFK+GsI2l1geDsG7DUDtRbrN7ALyWgWvIJOlIO7lEjthBeNVM8VGqHtVle3M7s1YpgVmRhAdrXjLRI35D64gYJRv8rWfLCSZI6kkRWsMpSPe/EKBxCLhIqKiDagYzWBY8unsjgs2CdOH+CBOXlvnjQrjfQxrT3nr31ARdqo3jtAAQ7unhZvq8kfkumOoUm7c0t2CIleRIGwSwfqwAuXboZrNW+CdH93hafUjsw2kgTkbGNhOgzlXccQR8lrgu23b7vBlsW5Rihl7LIQBmBU2J1mnXXj13JFFXcBh/zQz9yNkupOPT2gT0AcuQ7Ckp8m+CAqKRmAMtRrXp2sK1O+EFkzlPmluLlh+EjsyIYrTY8msyTdl6lEU79F2jAlefVQvFmSifPPCUsz+IerHmkv1G7Th0xJk05lhpcTlxQSE0OKayMIo3xRqFQnIXI6WDwpVSGk+l4pUdJFcJWMjx0Wau4XFpb+qX7FQGgmH2Gy6QbPRnf4F94jBR8Lo24ZsdxTF2pSXQ0u1b4XbjSpsDssJ4GGM+z4Mp0w/JhGC3n5M5v6Dsm/lJ6RPgMcQwTFMKeriXsvKXTkegX32h3UxgOT3ekYuqq9XsZXGXMFy9x1FlbDNdSrWxKeDp+2tE+wUfAobKLi2YjwwAQMyrvHuWikVrPa0E8T71aqd+PLKY9HdITAB+OQ2ea9kCKq5ugkY63mhsxbvhU8SjULDa/sVnJHlHiGThZLCDiXUb3O+3t+9w/8p3N+OGaejjAwvatscnyBVkxu1EkhDCvvj3GZl9z/pVOvpiTjYcxTHsFIaSDGTP6ntEoMKFt0o3yx/6rUElXR0aXEifFBLrZRSpic/WldneuM92QlPTzfLnS4XkzO7zRZpGf2MFthahs38P38f9ZvD+Na7R1KbMaHpnIirxBcrMywWE5hA05e1h66PF5dXDObvnDVbOleRHG/Fasev33wJvTMIFBZaqjXmlmyzBZ9Bw508FNMJc+xRb0Vyex0Yz821RbYudsZ3fJhH8SW+7qfmSw34tmDeheAOeHEJqQB+FY9/eyVxtz06PO99E0/quAJ3KOnJ90D6cSFDuLn2MKsgQSHlurcQm92eE394v6zU8fj9+DsX7zJ28E2H5zbSzWzZ173hgXGoLc/YeMxroz5cr2kD5M/uE8/Ug+bmq8UGS6AJdZwZtfKGiGtjbaeUCh6y17w6k+74XfWFIVC0+/gaxPSf4JN9Zax1LjeXprWPgo8I+glwkpFeufB1r6HcxrmjpuMc2bkDAC2aEi58WswOnTrCUAgQiuJGYDY8FXy4hWOPHNf2FYjx1erBA71DhMeGX7DfCdoHCBPgN3bwnuTUizNFhYHpWWGTvauDM18JA5nZpPi6S9bXE4gwkM6qv78/QBV44GCpyNVo5ViMCCpVJqMF0nJ1Oso3x6zGTiGUdJkeSp8dZzg7OOZpFXgZd6Ys0rDwBi3tqvc2J1+aml2ZNBesthRSrZohSljX8FVv85goHr1RrmylHWJtf+7rv2VFpUy5ouZosSQnF0oHxX49YC4ADiX4wWl3zlonABkJvEDC/kb5rDknGNoJ4qS2flbnq0nsA703rcNj4p1LNkOAoh+GEN7sfP2fP1UtsMBju1Qyne2+/99LYnJAwpZXisFcFdgqB67f93icgMPdj/x7ZxFOOypATRxHux1jgZqdxU1u5YCdtrpLXOSKtpwWBIZYgfljy6DHlDGcXE8uu+6swUHiwOwn2qEGGzsHj4ihFMO4130hz5AK55CJOr7JmIb12frsBQ4ezNQfdAYnGC1OIExjvtKp4rATZ6Cnjw0M9AhVA87CInthXG6H1Aeja5fMetMWYz9ZdRHtpgf3LK80ESoHzLSMW4PR9nWaJ+BKsGEuJk6E0T0Jbi7pM2MRXHlBmDoVpwYol3TTLKMZ2kfPwQSGBVQC0ZhJdFn1r2fJyyafjlI0iCLgxpgHS3+11qMfac41avZ/3/uPIQ9aSOulVLBK+ERiyLGUe5yer9bqoFQfxpRRKpxzJ9Gb9R4mSnJBGh1AWCofPexgrwjVYIrUuncr2HaLDuOwEoeFn3eeyvN5yQq84DfE4eIpM9cOmRdW5P5xZs5GJnu0Eg8/+MgCu6U2OGoiHsfsEeLC7N5IULV14AGKex7HNI6QYNmorCeumPIGwp4+Va26kkHrP6y/XTsoZVuzntFH3HSdZk/FnD0TUZlUUwXVco4MNwzcRluZSuwtpBXf5I9+ualdAQQIltxuweSbKU/X5sEFzJ2I3wpnqN/fj5VXtLMYbDb58WGKiYawL0pfqLAb6JRrkjAwKJIXOo2oYjpccQlK5biEp2JAVZRvpj5dWp8QSUcbS7bGINHo69ETtVV5nKROUqepM+2ci7iK7xAjOfRpwjnjlHHCONZju0yK+fst6hx5/dX4j082Ru8W7ch5z9sg9NkQq6SkT6MNYRdYatEbbTlyaCPCdLqIpgmGJZf1Kn/x/9juvkMZfAwmAAf/5YP1nellFRdSQ/WVkOmQ7euUi4szeLZC2Sh/4u8nqINyOljMuGC1BZAPClqe/5pPHmxks6wlYHp6BQiGjGCEH4HyxhcqXpMdMJXF7s4vFOMmKox7wrSYpOXUPpLxRSZ0C9P1osNDVzRTRGdPz/7XJdeCxBzcCM/dlsn/v9nBG5NisZSJTkz7kdS+kl5o/LfeZ/eKKf5UFnX+v9NbzRtEBbGjKNSwEpcQb9OwEjHSE3hh8TN2EedBVGTBzP9FqBX7gij/r2NuLEEibfeXbY1DLppV9kJoEtVgs+hXyS6GMggWJYbBzfcDj8Wyo5EZkTTga9fc4ltH8eRCYcacrsSB1spZ7EGd8SgnLinVg0mEQ4Hsk7CEnNnEqYsuko48ZPRErBMHZjieKBs3bJtwn04Dpas9ArL6LH8kRFyAKR2jH8jsBaZnfQZv3/JxqMAFxuiJiHvrZNRR8kMXhUBIha5rzmA/jPojJJxRMiwodUd2TAZ0liVfp7ysuv9JF5wHF5IY9j3MbGMJYZRvOnCpkUw0nf1ooUSurqmpdaczhVwK1NogXLUO7uawOW5+CFcbZWTj1R1ayFcuHq00aFd9FMA84fFdNOqGdOm8kypTE58pR65KvEtTJ/IgmZHECTRXUzhxlFYizuCRQNIrosCyMw5CqRj6fZWZswh5PCvVVTxxXR1qfJ5LPuoYa7WSIXhca0uPhLOjsvLmeQoNVB+fK6WCh8wbUzK3z5zMzM6BoQwDT6Xu6MTR6nuPOQag+ayW9iRa0y/nZTjNSvsPSTAIpCYOW9uNDhmqJouMVA/lzJxibhK9+CDNucQJW9mtCqzDHQlUPnqkUIjRbUGh0rGUfOqV3mSKkwfFkbBoGzhQKm0W4wSBARZZobEsLnqnYmOdZxwQS7AV+Jycr0Uvbuq148hBBRZFly5IkmCwMVGoR36i3OmQ4H8qSZxt5k0CYAEP4r7KHHEYBbucE3l8NssZVn2dSjPd/Pdq3mUjOyDiut/dNPlG/MFFSJu0bzir3ibgGwlU61ZUCUTBXevr19euDhq9QxhpQzUWHdlmCf7azOdiqF6klDohtKEUr+1ckfIE4ibxzSOcCaOX5rKmTqYaZwh/1DlLdC/cGmaqB4gL/KB28JDog5NyTwJO5TFDmIwTCQ+R2LIChnpmZU4YQoZYPmkrwRG4zHGEG4QMuIP95lY2sEIq4dDiEGPFXtBqKvSAo9hIGczB9bVIxYIF42eL4sOFrNJRMNgxIFIe8FaZ86stbzpxuOrNZq+Cdyswazx+9gHXgDiox0YONlU04AER3vcBdG4rNS2ucqqWI+uJ1ugpMAMdn8rWYgKifFPDU98mpmkz8ryklonFpS4l4VKPkhmDGqPOaLBcZ/jf2f+xRI9NiR2R0shJgIy8X8kjR5y7Z94AlfEC9453Y7DsPeJIbs57am5WJJ81ch0uMp9SgQE3HhfJPGJcrs4RhIyRQEPr2c1gItVccFGMWx/+ytIUmt2bigvro5p101IfY524rPZKBS2dtrpptkY8KcEqEIfvFa9uVrVZViIcKZ9XJBBdkwyOCsY8iJlOICwyT2zZIegZeRG6oQ4Z6aGYewpkELHVsOKGSKg0Ml5K+/u03VnlgtWGIjmMguY2n3ihXEiGMhSs7HwtcULMHbB8KPxoCU223PTMmsDGaSzwIkI5NU8tKeZvOVXBiFt3RYxjyzCUK5iEopirpPnIM1MIG01hgVF3TcgVYkYnNDwk9QsW/uxcnivm8xE+EC5sQxO0HG8eFQCHScWMTxO/G8dle6bq6olhprJ2cDF4FGw+K6VhMpWaLoFY+gvTfocuQlrEOythZgi1YodVd7wqoWYrpiXBy61rH2zv9SAVgJeBN5FHDQVOJg4Gdjo+9c7H1jQfx+6P6hZO4MiZJU7bxt/t+fuxnTI9P1XauoBR/nh45FYMnKSPH3RcCtTu6C1YWEN4SXqCK1/pLyYjsgzg65ck8IAZPINmOt0TM1cOPk/H9aDufGV2716NJ0pH2EEAM02HYgUSUXc0JI0FWsJWOxs7qLIwjQrXP9MWublrxhWloEubKEofp8zIInCGKUklIdUtiw0HJxeB6pummeW8KYYgIzJrWleMTz+QQiWcqn54Qui9kWnEpbOPQYLGtNUYoqbI1pJdWxofG8Llx2OhQilunRUUFUrDjzheaZ6AX7zZ+kRGC5jiQjNZM4UuUhdzsyes4Xb5aUcDmCqnKlq1iNf5KRFUgIPANByrMKosRXRRzARwGjlN4wXX3eunYpPjzNPCUWwUl6xtkWHEsM+45dperDAddGSjdL1IIEQL2Z2w5ZgUJ+Y9yQOjFZzqIxdcTSOXOqGgYPcyG+nA4nHou3cGmkS/hUuNRNlosNDS4HKnCk43Xjg/XbSFP7NtxdpUU6DenpUtQpXB+leWtdLE4R1qsIBIO+HbLV3XjnEpDiy9rbC1XTGy4Xk7cMCMNlCEhhOqGbq9T4nF/KkDzWggsoyqZAD6hnaKWVe4X+12XRc+JPDEhwmqo5JTAmWlfRDD6/I3n4q+3YrBhAiet6yVIeoabc/bASgsYy6zOFOJJeCSqs3uLVkk6FM9yub9D9DW3t9HbmyXjKFD0K8Ttit9pqVYcX/YTpMlqaz0Tz0/oYw4YaMLiVPAvn5UPkYBixxg/JIOo7IDPsJgYjEiNDKi8UXWlhMoSrLcTvBw0UKj2S3fNEaWMBuLuxaWuSG8PqKySwOdSFhsE3OJMQv16Y009TTR24Acu6h+I1gEeEU2FAxoiNCL7erMXJx6ZCO3LCO48RehI/tH94Mq0lnznsWZxCFgo7chUSzlOcmv7PtcjoRkes2HS7Juf1GRIWZ1fXTsK+Uph400JtMoLSd9YtuA5e0EFsQ0tOVydAVp6zRj4USWweD5fdjz9SruzyenTuGlM/2OOT10DVvSyeqfMGLC04nrbyeDo4dX4zch0DlRgUpPk4ohcSTY4Jqygg99a4TNDBMhWWLX1PopkUUb3IfFFslAbwQzeR536xun8fEzSe0fAHb1MQORot84rpiHci5pDIfL1vROxq7XRt2RcCXsGXHs28XrA1vuCCfZAIDpk8h/kELQBUPRtX3kA+LIlTzyYdBSc2bbr3OvKVJres9wI3EiHSjYyVtUJvowvGrush27RYviWLldBbN2+EXiWYs4kXs0CeGJUKHFu7rTgNyvWl7SYFPBUr/AY2woiYTxSF/eWbJlysz6qc41yFhnz173TGRwFs5UfmQhjjKN6OFmxno+ceLsSEFOkn8mk5lTnWIXFx4BzDRlF3gvZtrh9bsxwGggUYKlhWluI07KJjMiEWLdLsNEJBmLeB7h/L2ux47l8xNpoH7YD1cshijCiELPibMbasQjB86vsAxHEBfdQVNZ/rDH8dtazVv3147rCKyBYiH8Nvinf27w7XT/bat/q+uP1YU9nexjDxpvP0UEMrnywcLAWoYXXxavfbXv+nuQETtfjuF5ZOJl8ctHkv6Tvizb24lDCx99+Dbhjo2AV0RwOti7yVADWzKlDbFS6ylhpsuLaDoWeqrLdFPMB5eKSvkZ8x0SbYyChpktSQ+8B4YSGlmhJJh2KgTUX9G84f3Q0HpT5+bQs472eAxSMTcIrJ56Lct7++rE3IoPWrfpL32ptw6PepOaKiVxr9B14NmOg8Tp7HtD9yCtSilHEb0sRYLvu5ozJy5NPvXQ+uuVDNZmpdFhHu9j4ieCDd09dWSes82C+oZg30O1MdP1MhnidKAYtGDILAH6cH26voWns8sand6+z+0olLwcoFwcvhG3LAMZgrxC+m90OoeTdx0yO442NrIMHeDMhaUzLAtLp9iDrc8MLR0LBxSVOkv0H2/Geurh3k/vPKi3AAv36SQUjZbW6qVUG5Dwatpef4AU8+SSq3Nxwe8LJSH642y2oSXQyLUXZ3h3M4Yac3EadxYYIYS79VJqW2Anwplsx6mRAvR6wNbycyIuQr3EVpfC9rzSxBhGte/CXwxyx8wfjQ4fjgkbLJ4jwJnaKGyqPOXlbRtxutZxGYFLohDoeaEJAHDwBEPsMfXY1dv1vXuNZhd9ariMjPnYM9/R/qLM8s6pjdOdXgVZKth73kXNKXvw0fRgXGgFSKil/PmSJW3ghNIBEbzshFiGtoN5EzuMY67VFAmZEbvMzS1ndyS8ccENmHuC4iGes5F8OajCggZz0CjVc9GTgjEdimdXlpYM4I4xQhHMWB5T27Y8Hm+OD58xCWvGCeKIMeVUdDukaZs12PAC06ZlbRxR6Obo3bvl/tYpxB0vmEaQqzesKsDffH1jje4d4rBgMHgfLW6z+xBVHKnz0TKDFlvWhcxdHAlyP2VP2/w3QwZGrG0m7gzgbUt3i6N4AExLvHwCU+Pa0zgIWJ2El5QukFpLuTUP0VLTRCaGZDJJpbT09Y4AImrzFhE2CIhL9QSNhwtgDcAN4AFyPV2EFCS2TwITrdxsd16LJZKjgfzujj9mx/ebx5tKZ9C7N4P9iGEtxUPoDQioQiDPtc5CJ7CZVO+S8CMGXEgHBCISIEKsMi4bKpadMaBx7rhbSQRZk7AhFl5keO2Gva9qAtlwg7WNOf3YcHIA1+QDmiYFligAtIwyPilUSOBISWgVpBTy5dlFsBTKTroIdKKa4qjIQccoRohEM4iqhZeJA3a87ttuBuduOGpdcIRq0KYjFez2ClrwxlvLaAM/6HTmd+WsYPvhVlyEVtjQqpps2jn1xovuPiJu8yCBhbCLNxRL8cjtOERQoVJKCiFZl5jhS2PLfhXfrmJa9bPQSbW3V+jqhA/wdnK4fYyr1tT1ccbL7cSpN/9JOnMnrnYRFyr8uNnfEhkXXwlq8raElYiV7subKwEQkrbIka0m5SkzldsZ/M3tR32AKaQUYK2TMTwlAbcvYgcqVONYKUSi1hAI7b1dHq/GK87rkNQioDvjTkL+Oc1R0KULg4Iawcx0LdxEksxQ4NDU97X+d07USIXjmR6x5cqewmxi+22qWSSvUM2AcHEACcC1a7hCIQTBjXWYXZFkxTeV20rBS9sV3o4nO9i9vPPYUIqLFBDwqjKQLoD4XpLRv6qBsAfLLcduwzM1MvnMi2ScZo5lLkEiUEOjHH1Se8orxTB6WKZXF+o4rkDXT7FIicsJl3LD8c41oCxcOoM1EVdbCFFiDOl5TcIPXuBKldXWGgeF9PJK8hc9ZtBrmWL1yq20wpyOu1ouFvEGMqUf42gNiLjjdbPRrr5mR4dqbquiMAARCvoBdBrO3zSyoNYgqIibcvOj+mf+Sb3fW3TsL9czkdVOFTVbFB+6Kf3L3wICdgVpW8uwGlWlOFt1XD+GHmh3+6CUisBwzB0XFr31GtWv/hWcCbYIjSezBwvFRFfr22gMDgNeXW38JMCiRDby9xYsrf4cAFOuKFJSLgumZoeBiFhRwJbzPwvghkwFGDM3NDPGzAlToM6eNTp9eQ/yi9n5jYMEoNBxTOUPakLWYkm3FBuNM9THFxC1vCKGl7tgwi2YSnqIEHQV4cgkDBooyQexAxdGuPRBRoVke2ffu5KSvvbfMudGYRg0pIHqUDo8TYBAhZ9CltsVgk1ZhiMoayqlnWV7aAKRKe+hIEVJv0VLkqVTUTL/ZK1hFkIYgJE/g9VgU3RYNECLxcpcPajGVH5E3iqPiB62ho3IwL7DftACJGSAgahnJkP2kwAnFz5a464EFpvd47YZwVyFCY4ALlhtWSSHAj5WMXRqvc0YBmizGlX2bigkPONVopE/kPFZRPlkQYMuWHe2LB4Q7wQbCo1RKgx0CfhOb0mVqR6nJob3c6MRa1b2oL9bjwcFW/5iW20Uu/iKruZacHhhh7bbU3gBeL/A4c4nBnfwdTc/fLevwtuvn36b+JdRcdn/fvqTumy66ShjYz4ZHUj7Ru4997+JnBEN+YQXXTPq/d5BeNryI7dM+wD6Cr7AP/Thl0Y3/l58A910b+tuR/tQ2zGj4Y6A01XabolLMAq0cZT3vvW/GZ+EfW9xvUyd6Ra/VxjY0wcPq44ewtSRdhzlm28W9nVQX9T8em1zIg+snznQTO83G7Y+g1yMUalPbA5gAYgSmgJ9TAugAaJTJSeiSs0QBepnx+wDE/Fk5qi39Hltxv97+/6p1Tcb+8+acmLr0snibO9/xFXeen1Tg0yZJSRDH178TSCAQA74zIs4Rl8Az62HidNsqbJLe/Dk07FwY2vxtVfkKgwi2nE97QoVFKtYpNmCvD0cDCWta+HVCSl1cEOcX7iTmQIbfuk0lQYipj49iB45v2QI0BLT2wN4MMsZDl42k3G9gwnLgxnKpOoVnmNZNfzVtmlnpng51f19PPaf5hSv+efeurICteADdwO8+P6a/vVfunzPi///xY9KPf+F5NO/+UsvXOuLcMPqcb/o3bKPrVS7mmlHD6H2vBstWD+2PuDb64TMiAIFxHEI8BzIiqx+jIlwgmPvD3fz8PmLDx+nR1ybVb/V9Jy8ES1txOrrs6nngj5crT9k+zLwGErbr/TGSwdH+6kj2AGG80vE8eAV8Ix7RS+9sfh+OlPbCetUuS13pZbYgB1EzBbHveYv9sI3kxwvhu8Ax5kdUduF8MBE8wI9Ggw+jJhuS5nZOtAz+5DDzjs3VDPbVTBUYWb7OBQuoAiF2FmHgMcnz/2m3onj7546SrYwHMF4uTR10DgQhpe3FX43SOPQle9lZAQCh68A2Zx977854kQ27uTVSUZN0khwv3j6/T+r57IoKujpwyzmn6rATF3tvP0pbq/ix+Vi5+2CrREfPjRmZv/6FSwEY8ZkJKQZalZSTxJWu83JTldpjhKXYBRoRJTPXt4hPgmk7yHdpC388yifmfvrNwGEM1SYlAGYCmqhOFKwplNZUmRAM5/61R8PrAaVdKlStLUMorz9zf/uFMGH9McPrZ4C57CenB8XirOEi8kqKUuzKExqoSkIxQIAFBDDVOInOlXgZYDURp+gTKofGnfqRZ7Lfu7kGMLp9pBUIBgKv6ldK5bKlfn98z4+OTtH75J2vPqczWQ+JueTbo//o7+AUvnDx/OZtWrg2fFY6GUN3dpwHwMGBAsAwAnv4COQKqsJtPF+Cgh8AGcsbn8LeLxD2PyyQD86HvcGGJAKcay+9C/qRkR+0GymSmxSHwp44orHOfob+twmLrOb94Oq28NdfHznAzcJP3yZ7p48e3oGcR1h8nyEmE7AAczk3y5c8/MjLwL/X7BfXnjYKo56Go21GG/SeApVUIESzcH89JxKn8PbCqsCxr7GKueqrEElXA7M1580yqUg8yjEWP9iQKDPIi9hRejsCMcLiyhDGQJn+GYahFUhI+jBi7O84AlmjgfsPQzHRuw+plvVxBJa9QngVTAKzKJ6zv24bVjfQMKq52c/bk3ra6hYoKlIKXPUIPpcSiWq67k5YbDt9V0niVneZFqgWrGqoMjSJ1NDZa5JGIo/6On5w/PWSs7t7voNVh7MoglxmPB4nPSg/SqdV4K5naa3iVETJU5pY4hslVUloBRj+cbMsRPXd7kj6WJlul5IldsKeSEOxSE+EXTDtzDL6yoIgnrIjBiBDKykGx7XRmr+EL2xVsMgQBBJyQdnWHzS8h4VhB52PLvBApa+S5Rfrr2QspVMFYxRygOiWKBIej2XZTq6BUnof3j3tWGBknx6gLnQDSzAkPUZKyTJeTvCcGW/QWPAwW7OTxKBUQsBOky0zqzTtZa6E0ZvmiJyupfUeqVWVazQPSA+37TMWx55i+gxwFQ2F/3HFWZ8ZiMC2TXdUUY0hYAmBAyw6mhWGwPLTPh9MekqAnQZvc4oDEDHwzwHYUeEoQIYyJYCqUAFmCRVD0P94ilh/bfSJ2/2kddwR9v2xVN30KNRwtU6+xdLbLCyS4EFHGATCVdWz9NDW9b6LYfFhmWkkp1eJFWnqYVsf+HRSVmmF/et4E4ZcbxVSl8tNkvSFNnyRogbSzSiXUX3xOB3/h1Kf2oXJZ1m7xca21QdsadxYBCHs/LdNxKedf8etVwAW3Daa/mxEK1P+PjysQ/6PQ4xabayWG++mW2lPZz6aMKTm3UqGag43ZcfFIwmfHt+Yfe3hUiKg2CjNZtBUKSJiGG4JoKxIDMnWN7wJ3kAfUTvtUN4OQPp2tszV6QnK9FLTgxvmLnEFLKe8enRqgM5J1GrN0p0gzbmqOTmM/RfXQ4c1shMHu7KKVebVvIMHGaeH74UL6CMjzIfPr4nDBXgBdlSILpVABFRZeSeLTDlTZjzb6K1f2QAeT/Bxu97Fnw7Irfy+rvl2T2ocx0dJLfZKkAXfhuRwcp3QOLIsSQTK549Knv5ENqnIMEDb2hJxDGUBB4OhIQrHiiz+kqpKbM32NBxhijt4+/6IfBp7acsvZvHnGWsh6FAXDYBCiFN3RCTIgVPmrQQidlRUeSFKR8gmzhENljsQR+GRZgc3kOcmnBO+c2mYjN//93FovqR5IIHA/DM2vG5Nu3Zm/DK4rb8X4cX8XAW9EiVDXW6iAGktb19ZELT9WieNCuYQ94XST76rGaZ2c+aNuqmQkbpXi6oYSqr0voHbayLKzMb3b37+PVinITs+MVGH38aL6pGMK0hJ52k47JFPWuXAmpBjwlygW8UtCF88xoO0pjCjFGvC/7/2j3tPnpwNdJCZMWWAikZmj/2POKleDpv6lhFxAcR8DUJiI56APzsyNqmuLe29b6jCJBksHZDiIGLmCoIlwISL0rWGzwlBOxt+y+DULg0Wgje1JR9++RCV9jBjIQv2Zkrta+jBPw2Jn/x4kJL6uR/TmlL872RG0tU+vbb/Z/TnsUzSRsNcQg1rN+GCpaUP2yWwxN6a9vXwSHeyIY4z2dSW/+n8XksB+AlRxMY9yFO4XMnXpP+5PIIHIm+WENCRCiVRoOI7ktsKOEuQ+6KgobSbsHgNfkCSMPVImUUZDyqyAykslqOi6AqwIAI4VKADGQ1L9ht1/7mESNIPAjKXzvsUOH1mNXCM1DSvjErcA6mbOiAIEv21JQjZEsKRgCSgEeWdEZ5nbBk10hJ6tIdpWNP4qaZSCW0JBfBYYmWGkQWLt2AeD3BsCMUzNbLvBojlKIJyl877DCB5AaRYnVyUSkEUyMwCmj1DQah6D0yLUDFMGXHPKPOxJYvXVdLk7yaVtfbSNZEqq41uAiqAlxIE66C7BNVEVz7vX9AxQiq6jfIXsvCgMSCASMEH6c+NxJ2pFguN5rIRKLA7HiORxS+uphVKAIqciEPakYbm5e6qxll5GXS6ab0IJXRslwEVQE6GIRr7KG6yLRjGmp7q/qPtxhJMjPLvHbYYaHEQeE2ivPey3BSnJy0ic8B+5zEIopoItYaQVMtzvTETcRBDCuYyKeCNG2624IDE+puHggDzciajFABG9YxTJ1qLwxVWI2d7Gd5NCCI4pHqQZjj2yJYQY7D7cG//g3BLBl0CGpta8Dh8niI7Esff7u+jD/gGJ8YCiPW2aLAG2/sDHz1Pkr6w4enco3B8w15r9jS0KNn58KySV0kuoRXrisjTGiBrHZu4SshItFg6HkKxKofQxnuhX3ggtJ5Tx2jSCLrm8gwWXDjATP2hDtWg/Qh0JUDHCx66ow3kNXX+F0RqaUH514iVhaAhLMqiQEcdnYOfGdoO2m7YqguP9tqaMWruoS+tuziym7mmDsNDGDA0DhgUBSMTKS+QPAQTEeaPoNz34vgwDW5+OsMBK+E7W7mn8SyIXnx+da1ROHMmRA9YN4Pn29HFi+HZEwq4bDQrFur/UHRDaeog8+py2B5/XTefntccIq1menQ28I96lhZLvyICmZzy2Y25bXlnofOoPksjU2nvBlTIN7Z0pbJZSZFGNfV04bYgGYSJ3ixJEAKsTQn7YMlilP1gSpzNXPb2MmS0C+uPwXWAqY4snOCgwG+Ge+FCObSon8txfmSBZq1IhlvXP6iXmLqcFKpCHeE0jO1aNaC1RsgpDDQnbnE0d9oR6LBE/hM+BhxfbQ6tX9sPJ3rbneKhF+sRYjGVPJu4Uyz8ua5v5B15LVvYU+jRcfq2u7huWaFla1FltaOfn7tF9VW920qi1wT9KE+iN4yqDFU8a05+fZVzqekaND6veQeWZ5fHuOFZzDf/joiXG1udDgt3s6L6tXfpXjt7WDXDQe53Dx4c/Q63kUu9ZZ8fv44QHTP1tsMXEaqLYyotaAwcZnJPvC8uk+BhOuYU5Rxc6YKmYZ5awwyoNnZ7VIqeAThFoksM0uJsn8yx7JTJu+wHIiTblqcKaZK1NbC4qlUgwPXn4Jj9qQy57t0WyhSoYHYI8uvbzvDVYRiWXOmq2kWQqbwRMoTwC4zXFcg+5ZSPZELARYK7QwScxxxpDXjUSiFbfhDzWg08rJytwqsS06WZRqLSXueRElVlin6yKZKnwM5jsDYs+AgTnItcQw3qmb0pi6ucvVk/ciCror7YBgRS2ZCKJ9Yf/oSz9EQFzSGFEIKg1cnA7o0awBFDI26iOHZIo8bWlJ16eYjAi5rxbPKDKKiq2eNjBkGY9unoE5+GOmivc//nKDr6hl+qdS+Xn8EvuCRlubKxodf+RbzX/AKFnIsIyAO+V3+66tHwgGgJXVD+d3/82EzSl4vW+x3bA0UM9r7b1J1qV3EjF5eR/io+onpqVHBwyOZ1Pr/CtZDiz3mHg5d957rEecNYIZbo5B+Wk/pestsnO0LdoYxW7k+ddbU4XceqkrS8CJ1Sq3v3YIa8c1IPQ8RngGJeqhi5QgB+LFkgH/vS7iM0MMAeIFEd731MKHzH0bDdUQQzAzrYOnQw6VW7a7rqa3XAIYTTHsMsXA96pUIDdtrr0dAXy9WXbSs9yFontI2lLJqhye9yB39AYHlRTJAsoykNr0jMqzqSJOru9T3gqPD8mXEDQ1d0MN3192Ndt6tboeMApiu+YLYxgT7j/qHuC+gTkBb0HY6f2OwP8r/8r9fqq9A49Z7jd2EI9sRkwEj9Hi95kb2Rk9vU+fuXmVk3rDOtWAJi+nJUK5/mAdexyqi/I3P6ERqyTwiUqrrU3mmyWW5zySqKCev2npIvS/RKmrNfmKi3i6LYErM4l3L3BC1uc58uoRtdbIwtFA9X4LYIhX2M1gz0wZRXsEHpVfJ0NEXKNHyhJIv/nf0A07hGJcnuqpGK4udmZDpk0d6LqQaM4RmhYt82Gr+CaLSYQ+z8XpkCwwZPsrOkb1d1C37kGwc3kdbpWfO9cZeLYo0clvgpQAVsDgeFVjKzz6Y9ynO6Pgm7lg/athal+dsiQWxD3Nvf4SnHcMMhKC7f89bKst0ErWytNUoIzC+2qCdXN+T2T0ZnFRtz/mq0qI+TsOjCmcjTgZn1d4P3wT6EpfzxSEQs7CiNyL0sKy393Croh1tN8hvDtp6mGy5c5OgqFypS+rh8Cb1kFoVCtum3Q8iY4LC14o+90bzFnFSe7xGQkfxZatrGUgmBhbWgCFwGuviMmjIXLAUxqW5uWdZsc0wLdVDnG24niGQgjVb465BvC+3+KSOWKshzsKiK37QmrUe2UfYeZMVa90cPx5hZk0D9Y4FUW+8HGUQpEyOxGFBUbYSNKSAbscb52UoMurorNDcMuIydm+ZMFQAjWwZUD29RZYrgoY2GWAZmwyV/fFcMHrLOF/qrUzFAppm0oTrQlZpFVQEykIB1aAC2UxuWBN5t4yaTHWlTRgqQJ5sGVCzAyfbnS4MbTLAmcF5hfzh5uD2fApnBb7J5LtGR4mO7JnbUYSieUnieCvGSrFFTGmuORUn1K4vMIopYUAxsJEHLsQyZmtFWK5Cd0YYqu1ZLNtrEp+tmx1mu0qIoLsiitAZNUkqprGi2Vx0gUrOOGqCi9ISnb7YQM9UTY5E+cYfK1E0HZyjsB8UXQXTAJVGP7IgucUV3obCsnuqusb7IabvFoPG7RMRx6mlUHYeOMPR2Dyr6ynR6nz0Zi17HZXUSktq9x4iUPROnbBubTqyprdyn4Tq/CFgUfEP3E/SfyrwWB+z7U7fBZWsDs4UxkVMQVrHwDOTPFdHvXqGDgk24HIJdUJTs1Xme5RmLcorKrgFENy1SuNkGAVWfL65AnEnfcmgy31Niq+3Zh9V/9bWF0o5dZ6inR30G9/i4qjlt/YQ5UlrbwiLzKDPXBhKyT+n8BpIxnDxmv1XQCdivx6FowkWXnDuo93eCj/G3++kZGfbJ02boQ6NknXjSr3lUUcobZarmSybr3XD1LNmGgC6U8XdxQEm0HtMcZht6C0Hq0osOsIp0QPuA6pyywW64pIhGWEzvaVmyKmJyrIBy4a/IhhLnITqZVQoY8jSi8uTcgwOAbB4edsGSQQXkQojSgfYmvRywWHhQm1J1h/aWd1yYHT4bMeN2vh53Fm21gmzc/SZg7eh0fVKffdYnW3usFPmojZqsT4xUDRTrUUR9GmmgdsLI2HDln16jQAPYQbBxI0LbZuI7WJ/Ig696BXpQMc4oAwJ+yHs+MEjNhSxtRjQ60ezZjTmEuGFGLVQ3IWOz60QlYwv+iDsyzjnk9m9aN5dRHu5t6puvz7wmk1HXDTvreWDynfBC11lXwBVnrJchCbPUi51OCjye3+ofCdr2eY25C/ou2FR6GHBTzNTN3BzU6ng5yNf6uwjQszT1i1CeUP2Bok3qhzYuQtNVYyteSxJYi0vcyLVf9l7zhe4lTtSVkyTtG7tTYyxMV9JnGTV0YvdkUJMGSEpyqG23hVkHAzqxJItLSInAwDidzM6zDLEgaAvO6CB0U4MyGs7qiIUfKYyNvAoX6mmNGb4yJAAyoitjiOGvnUEq2rcPFgciJPDvP1hmKsD2xZiiM/zrJrfELVWXYnSFsQymptYCwW2S8ZDICXYpGnjRUQcPCn5Vq1jMcX2vJu6T7uI9AKiTXVwSHogCQss/lAJU0Qnlwcqj2SS9S2wwrXZg3N2cXubuUnMMpzxOaeYeDc3gDUFKywr3cGR5KmA3eT1goHfepo1EoibgS9lK3NZwL27016YUS16bPYG4qa4mDtZUCk5S7e2u8zQePiDS0pWBhBdymMMOUUpDDNavAUdm41hMLzk52TY5vxFpkqNN6V7ay6v3KrZagOOej04wa2SeN4eS/rYPRnpstbj9bU0w6tUIyAJkktkuIzOLojiPdWNdsUQ3VmE4frGk8hO8pMqL3UVsEIsYGT4mJG+2kSRgh2drptKF4YFXBQKr+9GemkAWbsXABRpuQLngody5mGpDJeL6cdxBbrUKWumxxDtw0QS+p/sHxLcrYDA6fWlo/v36eBlRorO/CI6+NqJ7yVKM5+j1kWUhUHi0dN8wU/PL4xw7NUlEERNyIaIf5GJwB03oHycVulMQkxI07DPyOxEbI6mo2ybTdFZUzE5HB2+JgwxySZ9+Au8XpKTr7wwAlCGSaPjqspuQgSMvQCINngeA4lNb9vtyalCs966bQeidR7rL+0PlfUQh2EGEZuAh/gd6ISEJ4k8wAYSP9i4QwMBYH+hAglIVofLjDRJDABxKB4o2pmIOVioNEULgcFYqT9h2ziZjjJ7w/6sFYYD0u4IR2F51FmrNi3M8tkVK0J3vrk8McR2wBTYH/ISQeICHFWtejjcPrSDcglNAB/koA1sWATFbzWw+ufmoRLUCJ3IB0Q41qkkwdELtgCTJ/ZQpiYzVPtpg/X61Oj0ylXTlTosqNuAKvg13SLOVwKRvMYNs6w59I9OE6svsVLQA69ANc2ygwCp2CFtfIz8GBW3DO9PpAJPjAvE+KEGQMt3myTNGi40QXxmxG5vdxjHTIDplhgwHIYAFLGUkHwkxYeFQ5udonuF3/WI/u/4SkHceQyS/wMBF1PbDRgwvdIGT/kc4ELcVAMpOYNBicN+/oaBWkHM/TLNBha2WCaSOxi2YJTV5cwS5i5exJR2SIreYq7OKnRZjoT8PMkdhpma6V6G2UFhQLEDs9jdwAAT3838379rG1dDEz6vGO16vTvlwaXM8f5QDjGP/uCQM3gsD3xesquxTpDqcvgvPz7eDH025m4RnxXJjbYIHkZBtJG7GpPPlLjmY7p3HkndTR9vp6U0/+dYD+ha8J7udvl2gfViDr2SRoWdtHQHd1TmaktxFGE1Fg2kNEHKnLJoVnKTNfX7KCRIUUZSJp6MiQSI6KlaYfg1Urvanh9VY8HlsZrDYA+kUmbcn9SRx+nXLQAmPUdcTB/60B03+qjHeSSQeumPMXFgEn6Ou7K6810n6F+97FF+MhZPTDGoOdO+u/QgL721veG7sjZuOOa+r8Mn209gslDc2d1roJ+NnbMINOkGwgAlhM4ceuTpwAEo30cc5xZHwaoQNHFGW9EI3aSJDiSxS27IDGcsJGjNX6pVxZl2ivVwL5v9wCZtYaVf1g/IYK4y95x9KMQbQtIdD7pZpkbS4mXCbT8Oc+evVpq1MRSMZOO7Rb1/KAEhxwpPBSkAMQgjGydY2e/+t6+BsFgotqXYKWGRI7to2JVMzvol0enGdJN312OGOrG+Oy2YcWXEjIQq3DbFL2h1ZQcpwKuARVU+Ttjd2m3Ze23YJV76hRpb2yqxN6ONYBgrrDarvQwOinWENkLh2DzBWDgkSHyPcCIEsUwkFhZRXBDQoq7GxAqWiJNcsIpItSoQJTQixg191CuUqu2XIs/zErV6o9nq/ufV3udQOBqLo4e6HdlVSWoX3TckMcu8LjmfTuLS+28k9+UUXaPKKM6fPH3K+bLEZL/L4hRr8s9P/zsSAAT18uuK7M0daz7w//Affrvj//d/Pf1d208Aun9h2WYE0I5//wHdx3+weo7+h4q92xfxvQb+PW+/DyQBReF6Bs5dx5735OwGrnNdmC2EpSjbmyPYbfTYp/cLiKzSKA7iai+GTOHrb/0Dkek0dJZAx8GFcQLe6QDPtjHoVIV92Y/DHr5edcbE0N8dOoJhPworjUlRrWJlFbxeOo5SQXSMKI/q4af5PO2UUVSfHLIahG2wpK7qe4uYzjVluNHk0LAruMpFYVYXaA5ti+xlbs6VQJu0iZFWcO2J6Z6bC1Kql9NsjVM/Mr33R8B26Qdpx5NFFa3ev7AmHWB0m+q+ZGhEe4lJicCKAqMvzsFHkavq0NV5/S3DA2VzwMCxVjkOWKOwfheROq1zLpP5WjO0xecYNftpkMSYlH5WvRgo5OzVv8y/6J0AcTdJizkaRFvoVY4R04IDWVUradN9lYOzecLYpU0yI63MaZXM2E1jXA7BncDh1PJMjIQ+vya4T2o/6wcVvYiKXqFzNJCZcTLGYMNA1HCeNikZhyFEgM6TVpuUzNTn17TwE5i1AYUX0o6v3j80ig88Eec2uOVLBqhFkhXzYLTOGRFo0UZIsba88wIfA4NAm7Hwn8IyKiCLmbdvfwHJPln4ie42FdANWEAEnBxcb7pU8iDilhKFF+WgOa3bqZcalaNzn857qnIb/mN/3V9oWPcluwovPMID/607iwHPIpA0rK0dsAoLwtkA6BPQ1CPw9Az4YgYCpnwxizSLvphD2ChfzCMY3Rdr4E7UFwtIoR4/yzsw4IvPiWPaF58nkMOvvkDPxd/Xewu8efgJ34gn8qkgFcjceeB9eAcbFY0+hv2sBKMefyqSv4M/eOkcDoKxEhuFi9dTboh64278oSLms5A/WorELS+lwx89lY24U9pGuHwCrkvF2gmzr6t4ozuapIkTpYPxlkQidLT8NdWMcGmPxTOJCeExSHt7kifcII2q208Ejaco4eqS0rwJPKSm+YwXGgJZL9L7ExyJ4cz4BJJIjDKMGQQ+P+luAdVEe9dLJRDPZuaXFPfqk9lg6rjoj7zEeR+VImPU4a/+C4DEkAAZQUxgZggLlBWmEc7G8WFBlGRF1XQjEo2Zlh1PJFOOm/Yy2Vy+YPr/x/ygXKnW6o1mq93p9vogBCMohhMkRTMsxwuiJCuqphumZTuux+vzpz5ijLEOmef1d6aZbKmN1mS92/2vzS5b4RrRYqr5JjjhcdBhmU0s362rbHXOGdu00toMbVzQ1lnnXXHRJZe90c4NV12zXXufZ7rtpls6eOeDiTrpqLOuuuhmhe566jG//v721Uc//b01wCADDTbUEPusNNwwI4z03kcyidld94INsSV2xJ44EIE4En2c4hyXuMYt7nbYaY+9Ttplt1PG2xwmHXYkTMXLlLAzr137GsknAqLr32LB0Waexc8+Hs1nKycYHBBrgGPCeTjQOJAdaB5oHWgf6BzoHtgpqJo6rjTqsG1j+EuQyqb8Pnc6sH9Wdndn++7u59lUHOW+7m/xZx1f7zQa8THg3KA3lu9vib/rb47/RXtxsE9a+Z5wl/wmvnhSA/DsixaaAdvn3wNnz74Htc9/AP507yWBQs+GthD8bPCZCHkWfLXYYdArEY7RD9QIHq17CDuOb5NAXPYLwP/zdcDJ3OcS15xCzyE3Jli/J8ya+2fhxy8BAAAA) 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) format('woff');
+ font-weight: normal;
+ font-style: normal;
+ }`);
+ };
+ Et.exports = { addFontGaegu: nn, addFontIndieFlower: hn };
+ class ct {
+ constructor(e) {
+ this.el = e.element, this.element = e.element, this.title = e.title, this.titleFontSize = e.titleFontSize || "17px", this.font = e.font || 0, this.fillStyle = e.fillStyle, this.tooltipFontSize = e.tooltipFontSize || "0.95rem", this.bowing = e.bowing || 0, this.simplification = e.simplification || 0.2, this.interactive = e.interactive !== !1, this.dataFormat = typeof e.data == "object" ? "object" : "file";
+ }
+ setSvg() {
+ this.svg = A(this.el).append("svg").attr("viewBox", `0 0 ${this.width + this.margin.left + this.margin.right}
+ ${this.height + this.margin.top + this.margin.bottom}`).append("g").attr("id", this.roughId).attr("transform", "translate(" + this.margin.left + "," + this.margin.top + ")");
+ }
+ resolveFont() {
+ this.font === 0 || this.font === void 0 || this.font.toString().toLowerCase() === "gaegu" ? (nn(this.svg), this.fontFamily = "gaeguregular") : this.font === 1 || this.font.toString().toLowerCase() === "indie flower" ? (hn(this.svg), this.fontFamily = "indie_flowerregular") : this.fontFamily = this.font;
+ }
+ }
+ const et = ({ roughness: t, ceiling: e = 20, defaultValue: i = 1 }) => t === void 0 || typeof t != "number" ? i : t > e ? e : t;
+ Et.exports = { roughCeiling: et, DEFAULT_CEILING: 20, DEFAULT_VALUE: 1 };
+ var ni = Math.PI, hi = 2 * ni, xt = 1e-6, ir = hi - xt;
+ function ri() {
+ this._x0 = this._y0 = this._x1 = this._y1 = null, this._ = "";
+ }
+ function mi() {
+ return new ri();
+ }
+ function G(t) {
+ return function() {
+ return t;
+ };
+ }
+ ri.prototype = mi.prototype = { constructor: ri, moveTo: function(t, e) {
+ this._ += "M" + (this._x0 = this._x1 = +t) + "," + (this._y0 = this._y1 = +e);
+ }, closePath: function() {
+ this._x1 !== null && (this._x1 = this._x0, this._y1 = this._y0, this._ += "Z");
+ }, lineTo: function(t, e) {
+ this._ += "L" + (this._x1 = +t) + "," + (this._y1 = +e);
+ }, quadraticCurveTo: function(t, e, i, s) {
+ this._ += "Q" + +t + "," + +e + "," + (this._x1 = +i) + "," + (this._y1 = +s);
+ }, bezierCurveTo: function(t, e, i, s, n, h) {
+ this._ += "C" + +t + "," + +e + "," + +i + "," + +s + "," + (this._x1 = +n) + "," + (this._y1 = +h);
+ }, arcTo: function(t, e, i, s, n) {
+ t = +t, e = +e, i = +i, s = +s, n = +n;
+ var h = this._x1, r = this._y1, a = i - t, o = s - e, l = h - t, c = r - e, u = l * l + c * c;
+ if (n < 0)
+ throw new Error("negative radius: " + n);
+ if (this._x1 === null)
+ this._ += "M" + (this._x1 = t) + "," + (this._y1 = e);
+ else if (u > xt)
+ if (Math.abs(c * a - o * l) > xt && n) {
+ var d = i - h, f = s - r, g = a * a + o * o, p = d * d + f * f, y = Math.sqrt(g), m = Math.sqrt(u), x = n * Math.tan((ni - Math.acos((g + u - p) / (2 * y * m))) / 2), k = x / m, M = x / y;
+ Math.abs(k - 1) > xt && (this._ += "L" + (t + k * l) + "," + (e + k * c)), this._ += "A" + n + "," + n + ",0,0," + +(c * d > l * f) + "," + (this._x1 = t + M * a) + "," + (this._y1 = e + M * o);
+ } else
+ this._ += "L" + (this._x1 = t) + "," + (this._y1 = e);
+ }, arc: function(t, e, i, s, n, h) {
+ t = +t, e = +e, h = !!h;
+ var r = (i = +i) * Math.cos(s), a = i * Math.sin(s), o = t + r, l = e + a, c = 1 ^ h, u = h ? s - n : n - s;
+ if (i < 0)
+ throw new Error("negative radius: " + i);
+ this._x1 === null ? this._ += "M" + o + "," + l : (Math.abs(this._x1 - o) > xt || Math.abs(this._y1 - l) > xt) && (this._ += "L" + o + "," + l), i && (u < 0 && (u = u % hi + hi), u > ir ? this._ += "A" + i + "," + i + ",0,1," + c + "," + (t - r) + "," + (e - a) + "A" + i + "," + i + ",0,1," + c + "," + (this._x1 = o) + "," + (this._y1 = l) : u > xt && (this._ += "A" + i + "," + i + ",0," + +(u >= ni) + "," + c + "," + (this._x1 = t + i * Math.cos(n)) + "," + (this._y1 = e + i * Math.sin(n))));
+ }, rect: function(t, e, i, s) {
+ this._ += "M" + (this._x0 = this._x1 = +t) + "," + (this._y0 = this._y1 = +e) + "h" + +i + "v" + +s + "h" + -i + "Z";
+ }, toString: function() {
+ return this._;
+ } };
+ var fs = Math.abs, B = Math.atan2, At = Math.cos, sr = Math.max, Be = Math.min, it = Math.sin, Rt = Math.sqrt, N = 1e-12, Dt = Math.PI, me = Dt / 2, re = 2 * Dt;
+ function gs(t) {
+ return t >= 1 ? me : t <= -1 ? -me : Math.asin(t);
+ }
+ function nr(t) {
+ return t.innerRadius;
+ }
+ function hr(t) {
+ return t.outerRadius;
+ }
+ function rr(t) {
+ return t.startAngle;
+ }
+ function ar(t) {
+ return t.endAngle;
+ }
+ function or(t) {
+ return t && t.padAngle;
+ }
+ function $t(t, e, i, s, n, h, r) {
+ var a = t - i, o = e - s, l = (r ? h : -h) / Rt(a * a + o * o), c = l * o, u = -l * a, d = t + c, f = e + u, g = i + c, p = s + u, y = (d + g) / 2, m = (f + p) / 2, x = g - d, k = p - f, M = x * x + k * k, v = n - h, w = d * p - g * f, C = (k < 0 ? -1 : 1) * Rt(sr(0, v * v * M - w * w)), z = (w * k - x * C) / M, F = (-w * x - k * C) / M, W = (w * k + x * C) / M, R = (-w * x + k * C) / M, S = z - y, j = F - m, Y = W - y, L = R - m;
+ return S * S + j * j > Y * Y + L * L && (z = W, F = R), { cx: z, cy: F, x01: -c, y01: -u, x11: z * (n / v - 1), y11: F * (n / v - 1) };
+ }
+ function te() {
+ var t = nr, e = hr, i = G(0), s = null, n = rr, h = ar, r = or, a = null;
+ function o() {
+ var l, c, u = +t.apply(this, arguments), d = +e.apply(this, arguments), f = n.apply(this, arguments) - me, g = h.apply(this, arguments) - me, p = fs(g - f), y = g > f;
+ if (a || (a = l = mi()), d < u && (c = d, d = u, u = c), d > N)
+ if (p > re - N)
+ a.moveTo(d * At(f), d * it(f)), a.arc(0, 0, d, f, g, !y), u > N && (a.moveTo(u * At(g), u * it(g)), a.arc(0, 0, u, g, f, y));
+ else {
+ var m, x, k = f, M = g, v = f, w = g, C = p, z = p, F = r.apply(this, arguments) / 2, W = F > N && (s ? +s.apply(this, arguments) : Rt(u * u + d * d)), R = Be(fs(d - u) / 2, +i.apply(this, arguments)), S = R, j = R;
+ if (W > N) {
+ var Y = gs(W / u * it(F)), L = gs(W / d * it(F));
+ (C -= 2 * Y) > N ? (v += Y *= y ? 1 : -1, w -= Y) : (C = 0, v = w = (f + g) / 2), (z -= 2 * L) > N ? (k += L *= y ? 1 : -1, M -= L) : (z = 0, k = M = (f + g) / 2);
+ }
+ var D = d * At(k), E = d * it(k), at = u * At(w), ot = u * it(w);
+ if (R > N) {
+ var O, _ = d * At(M), dt = d * it(M), Ot = u * At(v), $ = u * it(v);
+ if (p < Dt && (O = function(gt, Pe, fn, gn, vi, bi, pn, mn) {
+ var ki = fn - gt, wi = gn - Pe, Si = pn - vi, Mi = mn - bi, Gt = Mi * ki - Si * wi;
+ if (!(Gt * Gt < N))
+ return [gt + (Gt = (Si * (Pe - bi) - Mi * (gt - vi)) / Gt) * ki, Pe + Gt * wi];
+ }(D, E, Ot, $, _, dt, at, ot))) {
+ var tt = D - O[0], we = E - O[1], Se = _ - O[0], Me = dt - O[1], Ai = 1 / it(function(gt) {
+ return gt > 1 ? 0 : gt < -1 ? Dt : Math.acos(gt);
+ }((tt * Se + we * Me) / (Rt(tt * tt + we * we) * Rt(Se * Se + Me * Me))) / 2), xi = Rt(O[0] * O[0] + O[1] * O[1]);
+ S = Be(R, (u - xi) / (Ai - 1)), j = Be(R, (d - xi) / (Ai + 1));
+ }
+ }
+ z > N ? j > N ? (m = $t(Ot, $, D, E, d, j, y), x = $t(_, dt, at, ot, d, j, y), a.moveTo(m.cx + m.x01, m.cy + m.y01), j < R ? a.arc(m.cx, m.cy, j, B(m.y01, m.x01), B(x.y01, x.x01), !y) : (a.arc(m.cx, m.cy, j, B(m.y01, m.x01), B(m.y11, m.x11), !y), a.arc(0, 0, d, B(m.cy + m.y11, m.cx + m.x11), B(x.cy + x.y11, x.cx + x.x11), !y), a.arc(x.cx, x.cy, j, B(x.y11, x.x11), B(x.y01, x.x01), !y))) : (a.moveTo(D, E), a.arc(0, 0, d, k, M, !y)) : a.moveTo(D, E), u > N && C > N ? S > N ? (m = $t(at, ot, _, dt, u, -S, y), x = $t(D, E, Ot, $, u, -S, y), a.lineTo(m.cx + m.x01, m.cy + m.y01), S < R ? a.arc(m.cx, m.cy, S, B(m.y01, m.x01), B(x.y01, x.x01), !y) : (a.arc(m.cx, m.cy, S, B(m.y01, m.x01), B(m.y11, m.x11), !y), a.arc(0, 0, u, B(m.cy + m.y11, m.cx + m.x11), B(x.cy + x.y11, x.cx + x.x11), y), a.arc(x.cx, x.cy, S, B(x.y11, x.x11), B(x.y01, x.x01), !y))) : a.arc(0, 0, u, w, v, y) : a.lineTo(at, ot);
+ }
+ else
+ a.moveTo(0, 0);
+ if (a.closePath(), l)
+ return a = null, l + "" || null;
+ }
+ return o.centroid = function() {
+ var l = (+t.apply(this, arguments) + +e.apply(this, arguments)) / 2, c = (+n.apply(this, arguments) + +h.apply(this, arguments)) / 2 - Dt / 2;
+ return [At(c) * l, it(c) * l];
+ }, o.innerRadius = function(l) {
+ return arguments.length ? (t = typeof l == "function" ? l : G(+l), o) : t;
+ }, o.outerRadius = function(l) {
+ return arguments.length ? (e = typeof l == "function" ? l : G(+l), o) : e;
+ }, o.cornerRadius = function(l) {
+ return arguments.length ? (i = typeof l == "function" ? l : G(+l), o) : i;
+ }, o.padRadius = function(l) {
+ return arguments.length ? (s = l == null ? null : typeof l == "function" ? l : G(+l), o) : s;
+ }, o.startAngle = function(l) {
+ return arguments.length ? (n = typeof l == "function" ? l : G(+l), o) : n;
+ }, o.endAngle = function(l) {
+ return arguments.length ? (h = typeof l == "function" ? l : G(+l), o) : h;
+ }, o.padAngle = function(l) {
+ return arguments.length ? (r = typeof l == "function" ? l : G(+l), o) : r;
+ }, o.context = function(l) {
+ return arguments.length ? (a = l ?? null, o) : a;
+ }, o;
+ }
+ function rn(t) {
+ this._context = t;
+ }
+ function lr(t) {
+ return new rn(t);
+ }
+ function cr(t) {
+ return t[0];
+ }
+ function ur(t) {
+ return t[1];
+ }
+ function dr(t, e) {
+ return e < t ? -1 : e > t ? 1 : e >= t ? 0 : NaN;
+ }
+ function fr(t) {
+ return t;
+ }
+ function ee() {
+ var t = fr, e = dr, i = null, s = G(0), n = G(re), h = G(0);
+ function r(a) {
+ var o, l, c, u, d, f = a.length, g = 0, p = new Array(f), y = new Array(f), m = +s.apply(this, arguments), x = Math.min(re, Math.max(-re, n.apply(this, arguments) - m)), k = Math.min(Math.abs(x) / f, h.apply(this, arguments)), M = k * (x < 0 ? -1 : 1);
+ for (o = 0; o < f; ++o)
+ (d = y[p[o] = o] = +t(a[o], o, a)) > 0 && (g += d);
+ for (e != null ? p.sort(function(v, w) {
+ return e(y[v], y[w]);
+ }) : i != null && p.sort(function(v, w) {
+ return i(a[v], a[w]);
+ }), o = 0, c = g ? (x - f * M) / g : 0; o < f; ++o, m = u)
+ l = p[o], u = m + ((d = y[l]) > 0 ? d * c : 0) + M, y[l] = { data: a[l], index: o, value: d, startAngle: m, endAngle: u, padAngle: k };
+ return y;
+ }
+ return r.value = function(a) {
+ return arguments.length ? (t = typeof a == "function" ? a : G(+a), r) : t;
+ }, r.sortValues = function(a) {
+ return arguments.length ? (e = a, i = null, r) : e;
+ }, r.sort = function(a) {
+ return arguments.length ? (i = a, e = null, r) : i;
+ }, r.startAngle = function(a) {
+ return arguments.length ? (s = typeof a == "function" ? a : G(+a), r) : s;
+ }, r.endAngle = function(a) {
+ return arguments.length ? (n = typeof a == "function" ? a : G(+a), r) : n;
+ }, r.padAngle = function(a) {
+ return arguments.length ? (h = typeof a == "function" ? a : G(+a), r) : h;
+ }, r;
+ }
+ function ie() {
+ }
+ function ps(t, e, i) {
+ t._context.bezierCurveTo((2 * t._x0 + t._x1) / 3, (2 * t._y0 + t._y1) / 3, (t._x0 + 2 * t._x1) / 3, (t._y0 + 2 * t._y1) / 3, (t._x0 + 4 * t._x1 + e) / 6, (t._y0 + 4 * t._y1 + i) / 6);
+ }
+ function ai(t) {
+ this._context = t;
+ }
+ function ms(t, e) {
+ this._basis = new ai(t), this._beta = e;
+ }
+ function se(t, e, i) {
+ t._context.bezierCurveTo(t._x1 + t._k * (t._x2 - t._x0), t._y1 + t._k * (t._y2 - t._y0), t._x2 + t._k * (t._x1 - e), t._y2 + t._k * (t._y1 - i), t._x2, t._y2);
+ }
+ function Ze(t, e) {
+ this._context = t, this._k = (1 - e) / 6;
+ }
+ function Ne(t, e) {
+ this._context = t, this._k = (1 - e) / 6;
+ }
+ function Ye(t, e) {
+ this._context = t, this._k = (1 - e) / 6;
+ }
+ function Ve(t, e, i) {
+ var s = t._x1, n = t._y1, h = t._x2, r = t._y2;
+ if (t._l01_a > N) {
+ var a = 2 * t._l01_2a + 3 * t._l01_a * t._l12_a + t._l12_2a, o = 3 * t._l01_a * (t._l01_a + t._l12_a);
+ s = (s * a - t._x0 * t._l12_2a + t._x2 * t._l01_2a) / o, n = (n * a - t._y0 * t._l12_2a + t._y2 * t._l01_2a) / o;
+ }
+ if (t._l23_a > N) {
+ var l = 2 * t._l23_2a + 3 * t._l23_a * t._l12_a + t._l12_2a, c = 3 * t._l23_a * (t._l23_a + t._l12_a);
+ h = (h * l + t._x1 * t._l23_2a - e * t._l12_2a) / c, r = (r * l + t._y1 * t._l23_2a - i * t._l12_2a) / c;
+ }
+ t._context.bezierCurveTo(s, n, h, r, t._x2, t._y2);
+ }
+ function ys(t, e) {
+ this._context = t, this._alpha = e;
+ }
+ function As(t, e) {
+ this._context = t, this._alpha = e;
+ }
+ function xs(t, e) {
+ this._context = t, this._alpha = e;
+ }
+ function vs(t) {
+ return t < 0 ? -1 : 1;
+ }
+ function bs(t, e, i) {
+ var s = t._x1 - t._x0, n = e - t._x1, h = (t._y1 - t._y0) / (s || n < 0 && -0), r = (i - t._y1) / (n || s < 0 && -0), a = (h * n + r * s) / (s + n);
+ return (vs(h) + vs(r)) * Math.min(Math.abs(h), Math.abs(r), 0.5 * Math.abs(a)) || 0;
+ }
+ function ks(t, e) {
+ var i = t._x1 - t._x0;
+ return i ? (3 * (t._y1 - t._y0) / i - e) / 2 : e;
+ }
+ function qe(t, e, i) {
+ var s = t._x0, n = t._y0, h = t._x1, r = t._y1, a = (h - s) / 3;
+ t._context.bezierCurveTo(s + a, n + a * e, h - a, r - a * i, h, r);
+ }
+ function De(t) {
+ this._context = t;
+ }
+ rn.prototype = { areaStart: function() {
+ this._line = 0;
+ }, areaEnd: function() {
+ this._line = NaN;
+ }, lineStart: function() {
+ this._point = 0;
+ }, lineEnd: function() {
+ (this._line || this._line !== 0 && this._point === 1) && this._context.closePath(), this._line = 1 - this._line;
+ }, point: function(t, e) {
+ switch (t = +t, e = +e, this._point) {
+ case 0:
+ this._point = 1, this._line ? this._context.lineTo(t, e) : this._context.moveTo(t, e);
+ break;
+ case 1:
+ this._point = 2;
+ default:
+ this._context.lineTo(t, e);
+ }
+ } }, ai.prototype = { areaStart: function() {
+ this._line = 0;
+ }, areaEnd: function() {
+ this._line = NaN;
+ }, lineStart: function() {
+ this._x0 = this._x1 = this._y0 = this._y1 = NaN, this._point = 0;
+ }, lineEnd: function() {
+ switch (this._point) {
+ case 3:
+ ps(this, this._x1, this._y1);
+ case 2:
+ this._context.lineTo(this._x1, this._y1);
+ }
+ (this._line || this._line !== 0 && this._point === 1) && this._context.closePath(), this._line = 1 - this._line;
+ }, point: function(t, e) {
+ switch (t = +t, e = +e, this._point) {
+ case 0:
+ this._point = 1, this._line ? this._context.lineTo(t, e) : this._context.moveTo(t, e);
+ break;
+ case 1:
+ this._point = 2;
+ break;
+ case 2:
+ this._point = 3, this._context.lineTo((5 * this._x0 + this._x1) / 6, (5 * this._y0 + this._y1) / 6);
+ default:
+ ps(this, t, e);
+ }
+ this._x0 = this._x1, this._x1 = t, this._y0 = this._y1, this._y1 = e;
+ } }, ms.prototype = { lineStart: function() {
+ this._x = [], this._y = [], this._basis.lineStart();
+ }, lineEnd: function() {
+ var t = this._x, e = this._y, i = t.length - 1;
+ if (i > 0)
+ for (var s, n = t[0], h = e[0], r = t[i] - n, a = e[i] - h, o = -1; ++o <= i; )
+ s = o / i, this._basis.point(this._beta * t[o] + (1 - this._beta) * (n + s * r), this._beta * e[o] + (1 - this._beta) * (h + s * a));
+ this._x = this._y = null, this._basis.lineEnd();
+ }, point: function(t, e) {
+ this._x.push(+t), this._y.push(+e);
+ } }, function t(e) {
+ function i(s) {
+ return e === 1 ? new ai(s) : new ms(s, e);
+ }
+ return i.beta = function(s) {
+ return t(+s);
+ }, i;
+ }(0.85), Ze.prototype = { areaStart: function() {
+ this._line = 0;
+ }, areaEnd: function() {
+ this._line = NaN;
+ }, lineStart: function() {
+ this._x0 = this._x1 = this._x2 = this._y0 = this._y1 = this._y2 = NaN, this._point = 0;
+ }, lineEnd: function() {
+ switch (this._point) {
+ case 2:
+ this._context.lineTo(this._x2, this._y2);
+ break;
+ case 3:
+ se(this, this._x1, this._y1);
+ }
+ (this._line || this._line !== 0 && this._point === 1) && this._context.closePath(), this._line = 1 - this._line;
+ }, point: function(t, e) {
+ switch (t = +t, e = +e, this._point) {
+ case 0:
+ this._point = 1, this._line ? this._context.lineTo(t, e) : this._context.moveTo(t, e);
+ break;
+ case 1:
+ this._point = 2, this._x1 = t, this._y1 = e;
+ break;
+ case 2:
+ this._point = 3;
+ default:
+ se(this, t, e);
+ }
+ this._x0 = this._x1, this._x1 = this._x2, this._x2 = t, this._y0 = this._y1, this._y1 = this._y2, this._y2 = e;
+ } }, function t(e) {
+ function i(s) {
+ return new Ze(s, e);
+ }
+ return i.tension = function(s) {
+ return t(+s);
+ }, i;
+ }(0), Ne.prototype = { areaStart: ie, areaEnd: ie, lineStart: function() {
+ this._x0 = this._x1 = this._x2 = this._x3 = this._x4 = this._x5 = this._y0 = this._y1 = this._y2 = this._y3 = this._y4 = this._y5 = NaN, this._point = 0;
+ }, lineEnd: function() {
+ switch (this._point) {
+ case 1:
+ this._context.moveTo(this._x3, this._y3), this._context.closePath();
+ break;
+ case 2:
+ this._context.lineTo(this._x3, this._y3), this._context.closePath();
+ break;
+ case 3:
+ this.point(this._x3, this._y3), this.point(this._x4, this._y4), this.point(this._x5, this._y5);
+ }
+ }, point: function(t, e) {
+ switch (t = +t, e = +e, this._point) {
+ case 0:
+ this._point = 1, this._x3 = t, this._y3 = e;
+ break;
+ case 1:
+ this._point = 2, this._context.moveTo(this._x4 = t, this._y4 = e);
+ break;
+ case 2:
+ this._point = 3, this._x5 = t, this._y5 = e;
+ break;
+ default:
+ se(this, t, e);
+ }
+ this._x0 = this._x1, this._x1 = this._x2, this._x2 = t, this._y0 = this._y1, this._y1 = this._y2, this._y2 = e;
+ } }, function t(e) {
+ function i(s) {
+ return new Ne(s, e);
+ }
+ return i.tension = function(s) {
+ return t(+s);
+ }, i;
+ }(0), Ye.prototype = { areaStart: function() {
+ this._line = 0;
+ }, areaEnd: function() {
+ this._line = NaN;
+ }, lineStart: function() {
+ this._x0 = this._x1 = this._x2 = this._y0 = this._y1 = this._y2 = NaN, this._point = 0;
+ }, lineEnd: function() {
+ (this._line || this._line !== 0 && this._point === 3) && this._context.closePath(), this._line = 1 - this._line;
+ }, point: function(t, e) {
+ switch (t = +t, e = +e, this._point) {
+ case 0:
+ this._point = 1;
+ break;
+ case 1:
+ this._point = 2;
+ break;
+ case 2:
+ this._point = 3, this._line ? this._context.lineTo(this._x2, this._y2) : this._context.moveTo(this._x2, this._y2);
+ break;
+ case 3:
+ this._point = 4;
+ default:
+ se(this, t, e);
+ }
+ this._x0 = this._x1, this._x1 = this._x2, this._x2 = t, this._y0 = this._y1, this._y1 = this._y2, this._y2 = e;
+ } }, function t(e) {
+ function i(s) {
+ return new Ye(s, e);
+ }
+ return i.tension = function(s) {
+ return t(+s);
+ }, i;
+ }(0), ys.prototype = { areaStart: function() {
+ this._line = 0;
+ }, areaEnd: function() {
+ this._line = NaN;
+ }, lineStart: function() {
+ this._x0 = this._x1 = this._x2 = this._y0 = this._y1 = this._y2 = NaN, this._l01_a = this._l12_a = this._l23_a = this._l01_2a = this._l12_2a = this._l23_2a = this._point = 0;
+ }, lineEnd: function() {
+ switch (this._point) {
+ case 2:
+ this._context.lineTo(this._x2, this._y2);
+ break;
+ case 3:
+ this.point(this._x2, this._y2);
+ }
+ (this._line || this._line !== 0 && this._point === 1) && this._context.closePath(), this._line = 1 - this._line;
+ }, point: function(t, e) {
+ if (t = +t, e = +e, this._point) {
+ var i = this._x2 - t, s = this._y2 - e;
+ this._l23_a = Math.sqrt(this._l23_2a = Math.pow(i * i + s * s, this._alpha));
+ }
+ switch (this._point) {
+ case 0:
+ this._point = 1, this._line ? this._context.lineTo(t, e) : this._context.moveTo(t, e);
+ break;
+ case 1:
+ this._point = 2;
+ break;
+ case 2:
+ this._point = 3;
+ default:
+ Ve(this, t, e);
+ }
+ this._l01_a = this._l12_a, this._l12_a = this._l23_a, this._l01_2a = this._l12_2a, this._l12_2a = this._l23_2a, this._x0 = this._x1, this._x1 = this._x2, this._x2 = t, this._y0 = this._y1, this._y1 = this._y2, this._y2 = e;
+ } }, function t(e) {
+ function i(s) {
+ return e ? new ys(s, e) : new Ze(s, 0);
+ }
+ return i.alpha = function(s) {
+ return t(+s);
+ }, i;
+ }(0.5), As.prototype = { areaStart: ie, areaEnd: ie, lineStart: function() {
+ this._x0 = this._x1 = this._x2 = this._x3 = this._x4 = this._x5 = this._y0 = this._y1 = this._y2 = this._y3 = this._y4 = this._y5 = NaN, this._l01_a = this._l12_a = this._l23_a = this._l01_2a = this._l12_2a = this._l23_2a = this._point = 0;
+ }, lineEnd: function() {
+ switch (this._point) {
+ case 1:
+ this._context.moveTo(this._x3, this._y3), this._context.closePath();
+ break;
+ case 2:
+ this._context.lineTo(this._x3, this._y3), this._context.closePath();
+ break;
+ case 3:
+ this.point(this._x3, this._y3), this.point(this._x4, this._y4), this.point(this._x5, this._y5);
+ }
+ }, point: function(t, e) {
+ if (t = +t, e = +e, this._point) {
+ var i = this._x2 - t, s = this._y2 - e;
+ this._l23_a = Math.sqrt(this._l23_2a = Math.pow(i * i + s * s, this._alpha));
+ }
+ switch (this._point) {
+ case 0:
+ this._point = 1, this._x3 = t, this._y3 = e;
+ break;
+ case 1:
+ this._point = 2, this._context.moveTo(this._x4 = t, this._y4 = e);
+ break;
+ case 2:
+ this._point = 3, this._x5 = t, this._y5 = e;
+ break;
+ default:
+ Ve(this, t, e);
+ }
+ this._l01_a = this._l12_a, this._l12_a = this._l23_a, this._l01_2a = this._l12_2a, this._l12_2a = this._l23_2a, this._x0 = this._x1, this._x1 = this._x2, this._x2 = t, this._y0 = this._y1, this._y1 = this._y2, this._y2 = e;
+ } }, function t(e) {
+ function i(s) {
+ return e ? new As(s, e) : new Ne(s, 0);
+ }
+ return i.alpha = function(s) {
+ return t(+s);
+ }, i;
+ }(0.5), xs.prototype = { areaStart: function() {
+ this._line = 0;
+ }, areaEnd: function() {
+ this._line = NaN;
+ }, lineStart: function() {
+ this._x0 = this._x1 = this._x2 = this._y0 = this._y1 = this._y2 = NaN, this._l01_a = this._l12_a = this._l23_a = this._l01_2a = this._l12_2a = this._l23_2a = this._point = 0;
+ }, lineEnd: function() {
+ (this._line || this._line !== 0 && this._point === 3) && this._context.closePath(), this._line = 1 - this._line;
+ }, point: function(t, e) {
+ if (t = +t, e = +e, this._point) {
+ var i = this._x2 - t, s = this._y2 - e;
+ this._l23_a = Math.sqrt(this._l23_2a = Math.pow(i * i + s * s, this._alpha));
+ }
+ switch (this._point) {
+ case 0:
+ this._point = 1;
+ break;
+ case 1:
+ this._point = 2;
+ break;
+ case 2:
+ this._point = 3, this._line ? this._context.lineTo(this._x2, this._y2) : this._context.moveTo(this._x2, this._y2);
+ break;
+ case 3:
+ this._point = 4;
+ default:
+ Ve(this, t, e);
+ }
+ this._l01_a = this._l12_a, this._l12_a = this._l23_a, this._l01_2a = this._l12_2a, this._l12_2a = this._l23_2a, this._x0 = this._x1, this._x1 = this._x2, this._x2 = t, this._y0 = this._y1, this._y1 = this._y2, this._y2 = e;
+ } }, function t(e) {
+ function i(s) {
+ return e ? new xs(s, e) : new Ye(s, 0);
+ }
+ return i.alpha = function(s) {
+ return t(+s);
+ }, i;
+ }(0.5), De.prototype = { areaStart: function() {
+ this._line = 0;
+ }, areaEnd: function() {
+ this._line = NaN;
+ }, lineStart: function() {
+ this._x0 = this._x1 = this._y0 = this._y1 = this._t0 = NaN, this._point = 0;
+ }, lineEnd: function() {
+ switch (this._point) {
+ case 2:
+ this._context.lineTo(this._x1, this._y1);
+ break;
+ case 3:
+ qe(this, this._t0, ks(this, this._t0));
+ }
+ (this._line || this._line !== 0 && this._point === 1) && this._context.closePath(), this._line = 1 - this._line;
+ }, point: function(t, e) {
+ var i = NaN;
+ if (e = +e, (t = +t) !== this._x1 || e !== this._y1) {
+ switch (this._point) {
+ case 0:
+ this._point = 1, this._line ? this._context.lineTo(t, e) : this._context.moveTo(t, e);
+ break;
+ case 1:
+ this._point = 2;
+ break;
+ case 2:
+ this._point = 3, qe(this, ks(this, i = bs(this, t, e)), i);
+ break;
+ default:
+ qe(this, this._t0, i = bs(this, t, e));
+ }
+ this._x0 = this._x1, this._x1 = t, this._y0 = this._y1, this._y1 = e, this._t0 = i;
+ }
+ } }, Object.create(De.prototype).point = function(t, e) {
+ De.prototype.point.call(this, e, t);
+ };
+ const ft = ["coral", "skyblue", "#66c2a5", "tan", "#8da0cb", "#e78ac3", "#a6d854", "#ffd92f", "coral", "skyblue", "tan", "orange"];
+ Et.exports = { colors: ft };
+ const ut = (t, e, i, s, n) => {
+ t.svg.append("svg").attr("x", t.legendPosition === "left" ? 5 : t.width - (i + 2)).attr("y", 0);
+ const h = n === void 0 ? 5 - t.margin.left : n, r = t.rc.rectangle(t.legendPosition === "left" ? h : t.width + t.margin.right - 2 - i, -t.margin.top / 3, i, s, { fill: "white", fillWeight: 0.1, strokeWidth: 0.75, roughness: 2 }), a = t.roughSvg.appendChild(r), o = "rough" + t.el.substring(1, t.el.length);
+ a.setAttribute("class", o), e.forEach((l, c) => {
+ const u = A("." + o).append("g").attr("transform", `translate(
+ ${t.legendPosition === "left" ? 5 : t.width - (i + 2)},
+ 0)`);
+ u.append("rect").style("fill", t.colors[c]).attr("width", 20).attr("height", 8).attr("x", t.legendPosition === "left" ? h : t.margin.right + 5).attr("y", 6 + 11 * c - t.margin.top / 3), u.append("text").style("font-size", ".8rem").style("font-family", t.fontFamily).attr("x", t.legendPosition === "left" ? h + 25 : t.margin.right + 30).attr("y", 6 + 11 * c + 8 - t.margin.top / 3).text(l.text);
+ });
+ };
+ Et.exports = { addLegend: ut };
+ function ws(t, e) {
+ var i, s = 1;
+ function n() {
+ var h, r, a = i.length, o = 0, l = 0;
+ for (h = 0; h < a; ++h)
+ o += (r = i[h]).x, l += r.y;
+ for (o = (o / a - t) * s, l = (l / a - e) * s, h = 0; h < a; ++h)
+ (r = i[h]).x -= o, r.y -= l;
+ }
+ return t == null && (t = 0), e == null && (e = 0), n.initialize = function(h) {
+ i = h;
+ }, n.x = function(h) {
+ return arguments.length ? (t = +h, n) : t;
+ }, n.y = function(h) {
+ return arguments.length ? (e = +h, n) : e;
+ }, n.strength = function(h) {
+ return arguments.length ? (s = +h, n) : s;
+ }, n;
+ }
+ function Ss(t, e, i, s) {
+ if (isNaN(e) || isNaN(i))
+ return t;
+ var n, h, r, a, o, l, c, u, d, f = t._root, g = { data: s }, p = t._x0, y = t._y0, m = t._x1, x = t._y1;
+ if (!f)
+ return t._root = g, t;
+ for (; f.length; )
+ if ((l = e >= (h = (p + m) / 2)) ? p = h : m = h, (c = i >= (r = (y + x) / 2)) ? y = r : x = r, n = f, !(f = f[u = c << 1 | l]))
+ return n[u] = g, t;
+ if (a = +t._x.call(null, f.data), o = +t._y.call(null, f.data), e === a && i === o)
+ return g.next = f, n ? n[u] = g : t._root = g, t;
+ do
+ n = n ? n[u] = new Array(4) : t._root = new Array(4), (l = e >= (h = (p + m) / 2)) ? p = h : m = h, (c = i >= (r = (y + x) / 2)) ? y = r : x = r;
+ while ((u = c << 1 | l) == (d = (o >= r) << 1 | a >= h));
+ return n[d] = f, n[u] = g, t;
+ }
+ function V(t, e, i, s, n) {
+ this.node = t, this.x0 = e, this.y0 = i, this.x1 = s, this.y1 = n;
+ }
+ function gr(t) {
+ return t[0];
+ }
+ function pr(t) {
+ return t[1];
+ }
+ function an(t, e, i) {
+ var s = new yi(e ?? gr, i ?? pr, NaN, NaN, NaN, NaN);
+ return t == null ? s : s.addAll(t);
+ }
+ function yi(t, e, i, s, n, h) {
+ this._x = t, this._y = e, this._x0 = i, this._y0 = s, this._x1 = n, this._y1 = h, this._root = void 0;
+ }
+ function Ms(t) {
+ for (var e = { data: t.data }, i = e; t = t.next; )
+ i = i.next = { data: t.data };
+ return e;
+ }
+ var q = an.prototype = yi.prototype;
+ function Ht(t) {
+ return function() {
+ return t;
+ };
+ }
+ function ye(t) {
+ return 1e-6 * (t() - 0.5);
+ }
+ function mr(t) {
+ return t.x + t.vx;
+ }
+ function yr(t) {
+ return t.y + t.vy;
+ }
+ function Ps(t) {
+ var e, i, s, n = 1, h = 1;
+ function r() {
+ for (var l, c, u, d, f, g, p, y = e.length, m = 0; m < h; ++m)
+ for (c = an(e, mr, yr).visitAfter(a), l = 0; l < y; ++l)
+ u = e[l], g = i[u.index], p = g * g, d = u.x + u.vx, f = u.y + u.vy, c.visit(x);
+ function x(k, M, v, w, C) {
+ var z = k.data, F = k.r, W = g + F;
+ if (!z)
+ return M > d + W || w < d - W || v > f + W || C < f - W;
+ if (z.index > u.index) {
+ var R = d - z.x - z.vx, S = f - z.y - z.vy, j = R * R + S * S;
+ j < W * W && (R === 0 && (j += (R = ye(s)) * R), S === 0 && (j += (S = ye(s)) * S), j = (W - (j = Math.sqrt(j))) / j * n, u.vx += (R *= j) * (W = (F *= F) / (p + F)), u.vy += (S *= j) * W, z.vx -= R * (W = 1 - W), z.vy -= S * W);
+ }
+ }
+ }
+ function a(l) {
+ if (l.data)
+ return l.r = i[l.data.index];
+ for (var c = l.r = 0; c < 4; ++c)
+ l[c] && l[c].r > l.r && (l.r = l[c].r);
+ }
+ function o() {
+ if (e) {
+ var l, c, u = e.length;
+ for (i = new Array(u), l = 0; l < u; ++l)
+ c = e[l], i[c.index] = +t(c, l, e);
+ }
+ }
+ return typeof t != "function" && (t = Ht(t == null ? 1 : +t)), r.initialize = function(l, c) {
+ e = l, s = c, o();
+ }, r.iterations = function(l) {
+ return arguments.length ? (h = +l, r) : h;
+ }, r.strength = function(l) {
+ return arguments.length ? (n = +l, r) : n;
+ }, r.radius = function(l) {
+ return arguments.length ? (t = typeof l == "function" ? l : Ht(+l), o(), r) : t;
+ }, r;
+ }
+ function Ar(t) {
+ return t.index;
+ }
+ function Rs(t, e) {
+ var i = t.get(e);
+ if (!i)
+ throw new Error("node not found: " + e);
+ return i;
+ }
+ q.copy = function() {
+ var t, e, i = new yi(this._x, this._y, this._x0, this._y0, this._x1, this._y1), s = this._root;
+ if (!s)
+ return i;
+ if (!s.length)
+ return i._root = Ms(s), i;
+ for (t = [{ source: s, target: i._root = new Array(4) }]; s = t.pop(); )
+ for (var n = 0; n < 4; ++n)
+ (e = s.source[n]) && (e.length ? t.push({ source: e, target: s.target[n] = new Array(4) }) : s.target[n] = Ms(e));
+ return i;
+ }, q.add = function(t) {
+ const e = +this._x.call(null, t), i = +this._y.call(null, t);
+ return Ss(this.cover(e, i), e, i, t);
+ }, q.addAll = function(t) {
+ var e, i, s, n, h = t.length, r = new Array(h), a = new Array(h), o = 1 / 0, l = 1 / 0, c = -1 / 0, u = -1 / 0;
+ for (i = 0; i < h; ++i)
+ isNaN(s = +this._x.call(null, e = t[i])) || isNaN(n = +this._y.call(null, e)) || (r[i] = s, a[i] = n, s < o && (o = s), s > c && (c = s), n < l && (l = n), n > u && (u = n));
+ if (o > c || l > u)
+ return this;
+ for (this.cover(o, l).cover(c, u), i = 0; i < h; ++i)
+ Ss(this, r[i], a[i], t[i]);
+ return this;
+ }, q.cover = function(t, e) {
+ if (isNaN(t = +t) || isNaN(e = +e))
+ return this;
+ var i = this._x0, s = this._y0, n = this._x1, h = this._y1;
+ if (isNaN(i))
+ n = (i = Math.floor(t)) + 1, h = (s = Math.floor(e)) + 1;
+ else {
+ for (var r, a, o = n - i || 1, l = this._root; i > t || t >= n || s > e || e >= h; )
+ switch (a = (e < s) << 1 | t < i, (r = new Array(4))[a] = l, l = r, o *= 2, a) {
+ case 0:
+ n = i + o, h = s + o;
+ break;
+ case 1:
+ i = n - o, h = s + o;
+ break;
+ case 2:
+ n = i + o, s = h - o;
+ break;
+ case 3:
+ i = n - o, s = h - o;
+ }
+ this._root && this._root.length && (this._root = l);
+ }
+ return this._x0 = i, this._y0 = s, this._x1 = n, this._y1 = h, this;
+ }, q.data = function() {
+ var t = [];
+ return this.visit(function(e) {
+ if (!e.length)
+ do
+ t.push(e.data);
+ while (e = e.next);
+ }), t;
+ }, q.extent = function(t) {
+ return arguments.length ? this.cover(+t[0][0], +t[0][1]).cover(+t[1][0], +t[1][1]) : isNaN(this._x0) ? void 0 : [[this._x0, this._y0], [this._x1, this._y1]];
+ }, q.find = function(t, e, i) {
+ var s, n, h, r, a, o, l, c = this._x0, u = this._y0, d = this._x1, f = this._y1, g = [], p = this._root;
+ for (p && g.push(new V(p, c, u, d, f)), i == null ? i = 1 / 0 : (c = t - i, u = e - i, d = t + i, f = e + i, i *= i); o = g.pop(); )
+ if (!(!(p = o.node) || (n = o.x0) > d || (h = o.y0) > f || (r = o.x1) < c || (a = o.y1) < u))
+ if (p.length) {
+ var y = (n + r) / 2, m = (h + a) / 2;
+ g.push(new V(p[3], y, m, r, a), new V(p[2], n, m, y, a), new V(p[1], y, h, r, m), new V(p[0], n, h, y, m)), (l = (e >= m) << 1 | t >= y) && (o = g[g.length - 1], g[g.length - 1] = g[g.length - 1 - l], g[g.length - 1 - l] = o);
+ } else {
+ var x = t - +this._x.call(null, p.data), k = e - +this._y.call(null, p.data), M = x * x + k * k;
+ if (M < i) {
+ var v = Math.sqrt(i = M);
+ c = t - v, u = e - v, d = t + v, f = e + v, s = p.data;
+ }
+ }
+ return s;
+ }, q.remove = function(t) {
+ if (isNaN(h = +this._x.call(null, t)) || isNaN(r = +this._y.call(null, t)))
+ return this;
+ var e, i, s, n, h, r, a, o, l, c, u, d, f = this._root, g = this._x0, p = this._y0, y = this._x1, m = this._y1;
+ if (!f)
+ return this;
+ if (f.length)
+ for (; ; ) {
+ if ((l = h >= (a = (g + y) / 2)) ? g = a : y = a, (c = r >= (o = (p + m) / 2)) ? p = o : m = o, e = f, !(f = f[u = c << 1 | l]))
+ return this;
+ if (!f.length)
+ break;
+ (e[u + 1 & 3] || e[u + 2 & 3] || e[u + 3 & 3]) && (i = e, d = u);
+ }
+ for (; f.data !== t; )
+ if (s = f, !(f = f.next))
+ return this;
+ return (n = f.next) && delete f.next, s ? (n ? s.next = n : delete s.next, this) : e ? (n ? e[u] = n : delete e[u], (f = e[0] || e[1] || e[2] || e[3]) && f === (e[3] || e[2] || e[1] || e[0]) && !f.length && (i ? i[d] = f : this._root = f), this) : (this._root = n, this);
+ }, q.removeAll = function(t) {
+ for (var e = 0, i = t.length; e < i; ++e)
+ this.remove(t[e]);
+ return this;
+ }, q.root = function() {
+ return this._root;
+ }, q.size = function() {
+ var t = 0;
+ return this.visit(function(e) {
+ if (!e.length)
+ do
+ ++t;
+ while (e = e.next);
+ }), t;
+ }, q.visit = function(t) {
+ var e, i, s, n, h, r, a = [], o = this._root;
+ for (o && a.push(new V(o, this._x0, this._y0, this._x1, this._y1)); e = a.pop(); )
+ if (!t(o = e.node, s = e.x0, n = e.y0, h = e.x1, r = e.y1) && o.length) {
+ var l = (s + h) / 2, c = (n + r) / 2;
+ (i = o[3]) && a.push(new V(i, l, c, h, r)), (i = o[2]) && a.push(new V(i, s, c, l, r)), (i = o[1]) && a.push(new V(i, l, n, h, c)), (i = o[0]) && a.push(new V(i, s, n, l, c));
+ }
+ return this;
+ }, q.visitAfter = function(t) {
+ var e, i = [], s = [];
+ for (this._root && i.push(new V(this._root, this._x0, this._y0, this._x1, this._y1)); e = i.pop(); ) {
+ var n = e.node;
+ if (n.length) {
+ var h, r = e.x0, a = e.y0, o = e.x1, l = e.y1, c = (r + o) / 2, u = (a + l) / 2;
+ (h = n[0]) && i.push(new V(h, r, a, c, u)), (h = n[1]) && i.push(new V(h, c, a, o, u)), (h = n[2]) && i.push(new V(h, r, u, c, l)), (h = n[3]) && i.push(new V(h, c, u, o, l));
+ }
+ s.push(e);
+ }
+ for (; e = s.pop(); )
+ t(e.node, e.x0, e.y0, e.x1, e.y1);
+ return this;
+ }, q.x = function(t) {
+ return arguments.length ? (this._x = t, this) : this._x;
+ }, q.y = function(t) {
+ return arguments.length ? (this._y = t, this) : this._y;
+ };
+ var xr = { value: () => {
+ } };
+ function on() {
+ for (var t, e = 0, i = arguments.length, s = {}; e < i; ++e) {
+ if (!(t = arguments[e] + "") || t in s || /[\s.]/.test(t))
+ throw new Error("illegal type: " + t);
+ s[t] = [];
+ }
+ return new ae(s);
+ }
+ function ae(t) {
+ this._ = t;
+ }
+ function vr(t, e) {
+ for (var i, s = 0, n = t.length; s < n; ++s)
+ if ((i = t[s]).name === e)
+ return i.value;
+ }
+ function zs(t, e, i) {
+ for (var s = 0, n = t.length; s < n; ++s)
+ if (t[s].name === e) {
+ t[s] = xr, t = t.slice(0, s).concat(t.slice(s + 1));
+ break;
+ }
+ return i != null && t.push({ name: e, value: i }), t;
+ }
+ ae.prototype = on.prototype = { constructor: ae, on: function(t, e) {
+ var i, s, n = this._, h = (s = n, (t + "").trim().split(/^|\s+/).map(function(o) {
+ var l = "", c = o.indexOf(".");
+ if (c >= 0 && (l = o.slice(c + 1), o = o.slice(0, c)), o && !s.hasOwnProperty(o))
+ throw new Error("unknown type: " + o);
+ return { type: o, name: l };
+ })), r = -1, a = h.length;
+ if (!(arguments.length < 2)) {
+ if (e != null && typeof e != "function")
+ throw new Error("invalid callback: " + e);
+ for (; ++r < a; )
+ if (i = (t = h[r]).type)
+ n[i] = zs(n[i], t.name, e);
+ else if (e == null)
+ for (i in n)
+ n[i] = zs(n[i], t.name, null);
+ return this;
+ }
+ for (; ++r < a; )
+ if ((i = (t = h[r]).type) && (i = vr(n[i], t.name)))
+ return i;
+ }, copy: function() {
+ var t = {}, e = this._;
+ for (var i in e)
+ t[i] = e[i].slice();
+ return new ae(t);
+ }, call: function(t, e) {
+ if ((i = arguments.length - 2) > 0)
+ for (var i, s, n = new Array(i), h = 0; h < i; ++h)
+ n[h] = arguments[h + 2];
+ if (!this._.hasOwnProperty(t))
+ throw new Error("unknown type: " + t);
+ for (h = 0, i = (s = this._[t]).length; h < i; ++h)
+ s[h].value.apply(e, n);
+ }, apply: function(t, e, i) {
+ if (!this._.hasOwnProperty(t))
+ throw new Error("unknown type: " + t);
+ for (var s = this._[t], n = 0, h = s.length; n < h; ++n)
+ s[n].value.apply(e, i);
+ } };
+ var oe, Yt, zt = 0, Vt = 0, Zt = 0, ln = 1e3, Ae = 0, kt = 0, ke = 0, Ut = typeof performance == "object" && performance.now ? performance : Date, cn = typeof window == "object" && window.requestAnimationFrame ? window.requestAnimationFrame.bind(window) : function(t) {
+ setTimeout(t, 17);
+ };
+ function un() {
+ return kt || (cn(br), kt = Ut.now() + ke);
+ }
+ function br() {
+ kt = 0;
+ }
+ function oi() {
+ this._call = this._time = this._next = null;
+ }
+ function dn(t, e, i) {
+ var s = new oi();
+ return s.restart(t, e, i), s;
+ }
+ function Ws() {
+ kt = (Ae = Ut.now()) + ke, zt = Vt = 0;
+ try {
+ (function() {
+ un(), ++zt;
+ for (var t, e = oe; e; )
+ (t = kt - e._time) >= 0 && e._call.call(void 0, t), e = e._next;
+ --zt;
+ })();
+ } finally {
+ zt = 0, function() {
+ for (var t, e, i = oe, s = 1 / 0; i; )
+ i._call ? (s > i._time && (s = i._time), t = i, i = i._next) : (e = i._next, i._next = null, i = t ? t._next = e : oe = e);
+ Yt = t, li(s);
+ }(), kt = 0;
+ }
+ }
+ function kr() {
+ var t = Ut.now(), e = t - Ae;
+ e > ln && (ke -= e, Ae = t);
+ }
+ function li(t) {
+ zt || (Vt && (Vt = clearTimeout(Vt)), t - kt > 24 ? (t < 1 / 0 && (Vt = setTimeout(Ws, t - Ut.now() - ke)), Zt && (Zt = clearInterval(Zt))) : (Zt || (Ae = Ut.now(), Zt = setInterval(kr, ln)), zt = 1, cn(Ws)));
+ }
+ oi.prototype = dn.prototype = { constructor: oi, restart: function(t, e, i) {
+ if (typeof t != "function")
+ throw new TypeError("callback is not a function");
+ i = (i == null ? un() : +i) + (e == null ? 0 : +e), this._next || Yt === this || (Yt ? Yt._next = this : oe = this, Yt = this), this._call = t, this._time = i, li();
+ }, stop: function() {
+ this._call && (this._call = null, this._time = 1 / 0, li());
+ } };
+ const wr = 1664525, Sr = 1013904223, Fs = 4294967296;
+ var Mr = Math.PI * (3 - Math.sqrt(5));
+ function js(t) {
+ var e, i = 1, s = 1e-3, n = 1 - Math.pow(s, 1 / 300), h = 0, r = 0.6, a = /* @__PURE__ */ new Map(), o = dn(u), l = on("tick", "end"), c = function() {
+ let p = 1;
+ return () => (p = (wr * p + Sr) % Fs) / Fs;
+ }();
+ function u() {
+ d(), l.call("tick", e), i < s && (o.stop(), l.call("end", e));
+ }
+ function d(p) {
+ var y, m, x = t.length;
+ p === void 0 && (p = 1);
+ for (var k = 0; k < p; ++k)
+ for (i += (h - i) * n, a.forEach(function(M) {
+ M(i);
+ }), y = 0; y < x; ++y)
+ (m = t[y]).fx == null ? m.x += m.vx *= r : (m.x = m.fx, m.vx = 0), m.fy == null ? m.y += m.vy *= r : (m.y = m.fy, m.vy = 0);
+ return e;
+ }
+ function f() {
+ for (var p, y = 0, m = t.length; y < m; ++y) {
+ if ((p = t[y]).index = y, p.fx != null && (p.x = p.fx), p.fy != null && (p.y = p.fy), isNaN(p.x) || isNaN(p.y)) {
+ var x = 10 * Math.sqrt(0.5 + y), k = y * Mr;
+ p.x = x * Math.cos(k), p.y = x * Math.sin(k);
+ }
+ (isNaN(p.vx) || isNaN(p.vy)) && (p.vx = p.vy = 0);
+ }
+ }
+ function g(p) {
+ return p.initialize && p.initialize(t, c), p;
+ }
+ return t == null && (t = []), f(), e = { tick: d, restart: function() {
+ return o.restart(u), e;
+ }, stop: function() {
+ return o.stop(), e;
+ }, nodes: function(p) {
+ return arguments.length ? (t = p, f(), a.forEach(g), e) : t;
+ }, alpha: function(p) {
+ return arguments.length ? (i = +p, e) : i;
+ }, alphaMin: function(p) {
+ return arguments.length ? (s = +p, e) : s;
+ }, alphaDecay: function(p) {
+ return arguments.length ? (n = +p, e) : +n;
+ }, alphaTarget: function(p) {
+ return arguments.length ? (h = +p, e) : h;
+ }, velocityDecay: function(p) {
+ return arguments.length ? (r = 1 - p, e) : 1 - r;
+ }, randomSource: function(p) {
+ return arguments.length ? (c = p, a.forEach(g), e) : c;
+ }, force: function(p, y) {
+ return arguments.length > 1 ? (y == null ? a.delete(p) : a.set(p, g(y)), e) : a.get(p);
+ }, find: function(p, y, m) {
+ var x, k, M, v, w, C = 0, z = t.length;
+ for (m == null ? m = 1 / 0 : m *= m, C = 0; C < z; ++C)
+ (M = (x = p - (v = t[C]).x) * x + (k = y - v.y) * k) < m && (w = v, m = M);
+ return w;
+ }, on: function(p, y) {
+ return arguments.length > 1 ? (l.on(p, y), e) : l.on(p);
+ } };
+ }
+ const Cs = ["pink", "skyblue", "coral", "gold", "teal", "grey", "darkgreen", "pink", "brown", "slateblue", "grey1", "orange"];
+ Et.exports = { Bar: class extends ct {
+ constructor(t) {
+ super(t), this.data = t.data, this.margin = t.margin || { top: 20, right: 10, bottom: 20, left: 20 }, this.color = t.color || "red", this.highlight = t.highlight || "coral", this.roughness = et({ roughness: t.roughness }), this.stroke = t.stroke || "black", this.strokeWidth = t.strokeWidth || 1, this.axisStrokeWidth = t.axisStrokeWidth || 0.5, this.axisRoughness = t.axisRoughness || 0.5, this.innerStrokeWidth = t.innerStrokeWidth || 1, this.fillWeight = t.fillWeight || 0.5, this.axisFontSize = t.axisFontSize, this.labels = this.dataFormat === "object" ? "labels" : t.labels, this.values = this.dataFormat === "object" ? "values" : t.values, this.xValueFormat = t.xValueFormat, this.yValueFormat = t.yValueFormat, this.padding = t.padding || 0.1, this.xLabel = t.xLabel || "", this.yLabel = t.yLabel || "", this.labelFontSize = t.labelFontSize || "1rem", this.responsive = !0, this.boundRedraw = this.redraw.bind(this, t), this.initChartValues(t), this.resolveFont(), this.drawChart = this.resolveData(t.data), this.drawChart(), t.title !== "undefined" && this.setTitle(t.title), window.addEventListener("resize", this.resizeHandler.bind(this));
+ }
+ resizeHandler() {
+ this.responsive && this.boundRedraw();
+ }
+ remove() {
+ A(this.el).select("svg").remove(), A(this.el).select(".tooltip").remove();
+ }
+ redraw(t) {
+ this.remove(), this.initChartValues(t), this.resolveFont(), this.drawChart = this.resolveData(t.data), this.drawChart(), t.title !== "undefined" && this.setTitle(t.title);
+ }
+ initChartValues(t) {
+ this.roughness = t.roughness || this.roughness, this.color = t.color || this.color, this.stroke = t.stroke || this.stroke, this.strokeWidth = t.strokeWidth || this.strokeWidth, this.axisStrokeWidth = t.axisStrokeWidth || this.axisStrokeWidth, this.axisRoughness = t.axisRoughness || this.axisRoughness, this.innerStrokeWidth = t.innerStrokeWidth || this.innerStrokeWidth, this.fillWeight = t.fillWeight || this.fillWeight, this.fillStyle = t.fillStyle || this.fillStyle, this.title = t.title || this.title;
+ const e = A(this.el).node().getBoundingClientRect(), i = e.width, s = e.height;
+ this.width = i - this.margin.left - this.margin.right, this.height = s - this.margin.top - this.margin.bottom, this.roughId = this.el + "_svg", this.graphClass = this.el.substring(1, this.el.length), this.interactionG = "g." + this.graphClass, this.setSvg();
+ }
+ resolveData(t) {
+ return typeof t != "string" ? () => {
+ this.data = t, this.drawFromObject();
+ } : t.includes(".csv") ? () => {
+ pt(t).then((e) => {
+ this.data = e, this.drawFromFile();
+ });
+ } : t.includes(".tsv") ? () => {
+ mt(t).then((e) => {
+ this.data = e, this.drawFromFile();
+ });
+ } : void 0;
+ }
+ addScales() {
+ const t = this;
+ this.xScale = qt().rangeRound([0, this.width]).padding(this.padding).domain(this.dataFormat === "file" ? this.data.map((e) => e[t.labels]) : this.data[t.labels]), this.yScale = Z().rangeRound([this.height, 0]).domain(this.dataFormat === "file" ? [0, U(this.data, (e) => +e[t.values])] : [0, U(this.data[t.values])]);
+ }
+ addLabels() {
+ this.xLabel !== "" && this.svg.append("text").attr("x", this.width / 2).attr("y", this.height + this.margin.bottom / 2).attr("dx", "1em").attr("class", "labelText").style("text-anchor", "middle").style("font-family", this.fontFamily).style("font-size", this.labelFontSize).text(this.xLabel), this.yLabel !== "" && this.svg.append("text").attr("transform", "rotate(-90)").attr("y", 0 - this.margin.left / 1.4).attr("x", 0 - this.height / 2).attr("dy", "1em").attr("class", "labelText").style("text-anchor", "middle").style("font-family", this.fontFamily).style("font-size", this.labelFontSize).text(this.yLabel);
+ }
+ addAxes() {
+ const t = Lt(this.xScale).tickSize(0).tickFormat((i) => this.xValueFormat ? st(this.xValueFormat)(i) : i), e = Tt(this.yScale).tickSize(0).tickFormat((i) => this.yValueFormat ? st(this.yValueFormat)(i) : i);
+ this.svg.append("g").attr("transform", "translate(0," + this.height + ")").call(t).attr("class", `xAxis${this.graphClass}`).selectAll("text").attr("transform", "translate(-10,0)rotate(-45)").style("text-anchor", "end").style("font-family", this.fontFamily).style("font-size", this.axisFontSize === void 0 ? `${Math.min(0.8, Math.min(this.width, this.height) / 140)}rem` : this.axisFontSize).style("opacity", 0.9), this.svg.append("g").call(e).attr("class", `yAxis${this.graphClass}`).selectAll("text").style("font-family", this.fontFamily).style("font-size", this.axisFontSize === void 0 ? `${Math.min(0.95, Math.min(this.width, this.height) / 140)}rem` : this.axisFontSize).style("opacity", 0.9), P("path.domain").attr("stroke", "transparent");
+ }
+ makeAxesRough(t, e) {
+ const i = `xAxis${this.graphClass}`, s = `yAxis${this.graphClass}`, n = `rough-${i}`, h = `rough-${s}`;
+ A(`.${i}`).selectAll("path.domain").each(function(r, a) {
+ const o = A(this).node().getAttribute("d"), l = e.path(o, { fillStyle: "hachure" });
+ l.setAttribute("class", n), t.appendChild(l);
+ }), P(`.${n}`).attr("transform", `translate(0, ${this.height})`), A(`.${s}`).selectAll("path.domain").each(function(r, a) {
+ const o = A(this).node().getAttribute("d"), l = e.path(o, { fillStyle: "hachure" });
+ l.setAttribute("class", h), t.appendChild(l);
+ });
+ }
+ setTitle(t) {
+ this.svg.append("text").attr("x", this.width / 2).attr("y", 0 - this.margin.top / 2).attr("class", "title").attr("text-anchor", "middle").style("font-size", this.titleFontSize === void 0 ? `${Math.min(40, Math.min(this.width, this.height) / 5)}px` : this.titleFontSize).style("font-family", this.fontFamily).style("opacity", 0.8).text(t);
+ }
+ addInteraction() {
+ P(this.interactionG).data(this.dataFormat === "file" ? this.data : this.data.values).append("rect").attr("x", (i, s) => this.dataFormat === "file" ? this.xScale(i[this.labels]) : this.xScale(this.data[this.labels][s])).attr("y", (i, s) => this.dataFormat === "file" ? this.yScale(+i[this.values]) : this.yScale(this.data[this.values][s])).attr("width", this.xScale.bandwidth()).attr("height", (i, s) => this.dataFormat === "file" ? this.height - this.yScale(+i[this.values]) : this.height - this.yScale(this.data[this.values][s])).attr("fill", "transparent");
+ const t = A(this.el).append("div").style("opacity", 0).attr("class", "tooltip").style("position", "absolute").style("background-color", "white").style("border", "solid").style("border-width", "1px").style("border-radius", "5px").style("padding", "3px").style("font-family", this.fontFamily).style("font-size", this.tooltipFontSize).style("pointer-events", "none"), e = this;
+ P(this.interactionG).on("mouseover", function() {
+ t.style("opacity", 1), A(this).select("path").style("stroke", e.highlight), A(this).selectAll("path:nth-child(2)").style("stroke-width", e.strokeWidth + 1.2);
+ }), P(this.interactionG).on("mouseout", function() {
+ t.style("opacity", 0), A(this).select("path").style("stroke", e.color), A(this).selectAll("path:nth-child(2)").style("stroke-width", e.strokeWidth);
+ }), P(this.interactionG).on("mousemove", function(i) {
+ const s = A(this).attr("attrX"), n = A(this).attr("attrY"), h = yt(this);
+ console.log("mousePos bar", h), t.html(`${s}: ${n}`).style("opacity", 0.95).attr("class", function(r) {
+ }).style("transform", `translate(${h[0] + e.margin.left}px,
+ ${h[1] - (e.height + e.margin.top + e.margin.bottom / 2)}px)`);
+ });
+ }
+ initRoughObjects() {
+ this.roughSvg = document.getElementById(this.roughId), this.rcAxis = I(this.roughSvg, { options: { strokeWidth: this.axisStrokeWidth, roughness: this.axisRoughness } }), this.rc = I(this.roughSvg, { options: { fill: this.color, stroke: this.stroke === "none" ? void 0 : this.stroke, strokeWidth: this.innerStrokeWidth, roughness: this.roughness, bowing: this.bowing, fillStyle: this.fillStyle } });
+ }
+ drawFromObject() {
+ this.initRoughObjects(), this.addScales(), this.addAxes(), this.makeAxesRough(this.roughSvg, this.rcAxis), this.addLabels(), this.data.values.forEach((t, e) => {
+ const i = this.rc.rectangle(this.xScale(this.data[this.labels][e]), this.yScale(+t), this.xScale.bandwidth(), this.height - this.yScale(+t), { simplification: this.simplification, fillWeight: this.fillWeight }), s = this.roughSvg.appendChild(i);
+ s.setAttribute("class", this.graphClass), s.setAttribute("attrX", this.data[this.labels][e]), s.setAttribute("attrY", +t);
+ }), P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width", this.strokeWidth), this.interactive === !0 && this.addInteraction();
+ }
+ drawFromFile() {
+ this.initRoughObjects(), this.addScales(), this.addAxes(), this.makeAxesRough(this.roughSvg, this.rcAxis), this.addLabels(), this.data.forEach((t) => {
+ const e = this.rc.rectangle(this.xScale(t[this.labels]), this.yScale(+t[this.values]), this.xScale.bandwidth(), this.height - this.yScale(+t[this.values]), { simplification: this.simplification, fillWeight: this.fillWeight }), i = this.roughSvg.appendChild(e);
+ i.setAttribute("class", this.graphClass), i.setAttribute("attrX", t[this.labels]), i.setAttribute("attrY", +t[this.values]);
+ }), P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width", this.strokeWidth), this.interactive === !0 && this.addInteraction();
+ }
+ }, BarH: class extends ct {
+ constructor(t) {
+ super(t), this.margin = t.margin || { top: 50, right: 20, bottom: 50, left: 100 }, this.color = t.color || "red", this.highlight = t.highlight || "coral", this.roughness = et({ roughness: t.roughness }), this.stroke = t.stroke || "black", this.strokeWidth = t.strokeWidth || 1, this.axisStrokeWidth = t.axisStrokeWidth || 0.5, this.axisRoughness = t.axisRoughness || 0.5, this.innerStrokeWidth = t.innerStrokeWidth || 1, this.fillWeight = t.fillWeight || 0.5, this.axisFontSize = t.axisFontSize, this.labels = this.dataFormat === "object" ? "labels" : t.labels, this.values = this.dataFormat === "object" ? "values" : t.values, this.xValueFormat = t.xValueFormat, this.yValueFormat = t.yValueFormat, this.padding = t.padding || 0.1, this.xLabel = t.xLabel || "", this.yLabel = t.yLabel || "", this.labelFontSize = t.labelFontSize || "1rem", this.responsive = !0, this.boundRedraw = this.redraw.bind(this, t), this.initChartValues(t), this.resolveFont(), this.drawChart = this.resolveData(t.data), this.drawChart(), t.title !== "undefined" && this.setTitle(t.title), window.addEventListener("resize", this.resizeHandler.bind(this));
+ }
+ resizeHandler() {
+ this.responsive && this.boundRedraw();
+ }
+ remove() {
+ A(this.el).select("svg").remove();
+ }
+ redraw(t) {
+ this.remove(), this.initChartValues(t), this.resolveFont(), this.drawChart = this.resolveData(t.data), this.drawChart(), t.title !== "undefined" && this.setTitle(t.title);
+ }
+ initChartValues(t) {
+ this.roughness = t.roughness || this.roughness, this.stroke = t.stroke || this.stroke, this.color = t.color || this.color, this.strokeWidth = t.strokeWidth || this.strokeWidth, this.axisStrokeWidth = t.axisStrokeWidth || this.axisStrokeWidth, this.axisRoughness = t.axisRoughness || this.axisRoughness, this.innerStrokeWidth = t.innerStrokeWidth || this.innerStrokeWidth, this.fillWeight = t.fillWeight || this.fillWeight, this.fillStyle = t.fillStyle || this.fillStyle;
+ const e = A(this.el).node().getBoundingClientRect(), i = e.width, s = e.height;
+ this.width = i - this.margin.left - this.margin.right, this.height = s - this.margin.top - this.margin.bottom, this.roughId = this.el + "_svg", this.graphClass = this.el.substring(1, this.el.length), this.interactionG = "g." + this.graphClass, this.setSvg();
+ }
+ resolveData(t) {
+ return typeof t != "string" ? () => {
+ this.data = t, this.drawFromObject();
+ } : t.includes(".csv") ? () => {
+ pt(t).then((e) => {
+ console.log(e), this.data = e, this.drawFromFile();
+ });
+ } : t.includes(".tsv") ? () => {
+ mt(t).then((e) => {
+ this.data = e, this.drawFromFile();
+ });
+ } : void 0;
+ }
+ addScales() {
+ const t = this;
+ this.yScale = qt().rangeRound([0, this.height]).padding(this.padding).domain(this.dataFormat === "file" ? this.data.map((e) => e[t.labels]) : this.data[t.labels]), this.xScale = Z().rangeRound([0, this.width]).domain(this.dataFormat === "file" ? [0, U(this.data, (e) => +e[t.values])] : [0, U(this.data[t.values])]);
+ }
+ addLabels() {
+ this.xLabel !== "" && this.svg.append("text").attr("x", this.width / 2).attr("y", this.height + this.margin.bottom / 2.4).attr("dx", "1em").attr("class", "labelText").style("text-anchor", "middle").style("font-family", this.fontFamily).style("font-size", this.labelFontSize).text(this.xLabel), this.yLabel !== "" && this.svg.append("text").attr("transform", "rotate(-90)").attr("y", 0 - this.margin.left / 1.5).attr("x", 0 - this.height / 2).attr("dy", "1em").attr("class", "labelText").style("text-anchor", "middle").style("font-family", this.fontFamily).style("font-size", this.labelFontSize).text(this.yLabel);
+ }
+ addAxes() {
+ const t = Lt(this.xScale).tickSize(0).tickFormat((i) => this.xValueFormat ? st(this.xValueFormat)(i) : i), e = Tt(this.yScale).tickSize(0).tickFormat((i) => this.yValueFormat ? st(this.yValueFormat)(i) : i);
+ this.svg.append("g").attr("transform", `translate(0, ${this.height})`).call(t).attr("class", `xAxis${this.graphClass}`).selectAll("text").attr("transform", "translate(-10,0)rotate(-45)").style("text-anchor", "end").style("font-family", this.fontFamily).style("font-size", this.axisFontSize === void 0 ? `${Math.min(0.95, Math.min(this.width, this.height) / 140)}rem` : this.axisFontSize).style("opacity", 0.85), this.svg.append("g").call(e).attr("class", `yAxis${this.graphClass}`).selectAll("text").style("font-family", this.fontFamily).style("font-size", this.axisFontSize === void 0 ? `${Math.min(0.95, Math.min(this.width, this.height) / 140)}rem` : this.axisFontSize).style("opacity", 0.85), P("path.domain").attr("stroke", "transparent");
+ }
+ makeAxesRough(t, e) {
+ const i = `xAxis${this.graphClass}`, s = `yAxis${this.graphClass}`, n = `rough-${i}`, h = `rough-${s}`;
+ A(`.${i}`).selectAll("path.domain").each(function(r, a) {
+ const o = A(this).node().getAttribute("d"), l = e.path(o, { stroke: "black", fillStyle: "hachure" });
+ l.setAttribute("class", n), t.appendChild(l);
+ }), P(`.${n}`).attr("transform", `translate(0, ${this.height})`), A(`.${s}`).selectAll("path.domain").each(function(r, a) {
+ const o = A(this).node().getAttribute("d"), l = e.path(o, { stroke: "black", fillStyle: "hachure" });
+ l.setAttribute("class", h), t.appendChild(l);
+ });
+ }
+ setTitle(t) {
+ this.svg.append("text").attr("x", this.width / 2).attr("y", 0 - this.margin.top / 2).attr("class", "title").attr("text-anchor", "middle").style("font-size", this.titleFontSize === void 0 ? `${Math.min(40, Math.min(this.width, this.height) / 5)}px` : this.titleFontSize).style("font-family", this.fontFamily).style("opacity", 0.8).text(t);
+ }
+ addInteraction() {
+ P(this.interactionG).data(this.dataFormat === "file" ? this.data : this.data.values).append("rect").attr("x", 0).attr("y", (i, s) => this.dataFormat === "file" ? this.yScale(i[this.labels]) : this.yScale(this.data[this.labels][s])).attr("width", (i, s) => this.dataFormat === "file" ? this.xScale(+i[this.values]) : this.xScale(this.data[this.values][s])).attr("height", this.yScale.bandwidth()).attr("fill", "transparent");
+ const t = A(this.el).append("div").style("opacity", 0).attr("class", "tooltip").style("position", "absolute").style("background-color", "white").style("border", "solid").style("border-width", "1px").style("border-radius", "5px").style("padding", "3px").style("font-family", this.fontFamily).style("font-size", this.tooltipFontSize).style("pointer-events", "none"), e = this;
+ P(this.interactionG).on("mouseover", function() {
+ t.style("opacity", 1), A(this).select("path").style("stroke", e.highlight), A(this).selectAll("path:nth-child(2)").style("stroke-width", e.strokeWidth + 1.2);
+ }), P(this.interactionG).on("mouseout", function() {
+ t.style("opacity", 0), A(this).select("path").style("stroke", e.color), A(this).selectAll("path:nth-child(2)").style("stroke-width", e.strokeWidth);
+ }), P(this.interactionG).on("mousemove", function(i) {
+ const s = A(this).attr("attrX"), n = A(this).attr("attrY"), h = yt(this);
+ t.html(`${s}: ${n}`).style("opacity", 0.95).attr("class", function(r) {
+ }).style("transform", `translate(${h[0] + e.margin.left}px,
+ ${h[1] - (e.height + e.margin.top + e.margin.bottom / 2)}px)`);
+ });
+ }
+ initRoughObjects() {
+ this.roughSvg = document.getElementById(this.roughId), this.rcAxis = I(this.roughSvg, { options: { strokeWidth: this.axisStrokeWidth, roughness: this.axisRoughness } }), this.rc = I(this.roughSvg, { options: { fill: this.color, stroke: this.stroke === "none" ? void 0 : this.stroke, strokeWidth: this.innerStrokeWidth, roughness: this.roughness, bowing: this.bowing, fillStyle: this.fillStyle } });
+ }
+ drawFromObject() {
+ this.initRoughObjects(), this.addScales(), this.addAxes(), this.makeAxesRough(this.roughSvg, this.rcAxis), this.addLabels(), this.data.values.forEach((t, e) => {
+ const i = this.rc.rectangle(0, this.yScale(this.data[this.labels][e]), this.xScale(t), this.yScale.bandwidth(), { simplification: this.simplification, fillWeight: this.fillWeight }), s = this.roughSvg.appendChild(i);
+ s.setAttribute("class", this.graphClass), s.setAttribute("attrX", this.data[this.labels][e]), s.setAttribute("attrY", +t);
+ }), P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width", this.strokeWidth), this.interactive === !0 && this.addInteraction();
+ }
+ drawFromFile() {
+ this.initRoughObjects(), this.addScales(), this.addAxes(), this.makeAxesRough(this.roughSvg, this.rcAxis), this.addLabels(), this.data.forEach((t) => {
+ const e = this.rc.rectangle(0, this.yScale(t[this.labels]), this.xScale(+t[this.values]), this.yScale.bandwidth(), { simplification: this.simplification, fillWeight: this.fillWeight }), i = this.roughSvg.appendChild(e);
+ i.setAttribute("class", this.graphClass), i.setAttribute("attrX", t[this.labels]), i.setAttribute("attrY", +t[this.values]);
+ }), P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width", this.strokeWidth), this.interactive === !0 && this.addInteraction();
+ }
+ }, Donut: class extends ct {
+ constructor(t) {
+ super(t), this.margin = t.margin || { top: 50, right: 20, bottom: 10, left: 20 }, this.colors = t.colors || ft, this.highlight = t.highlight, this.roughness = et({ roughness: t.roughness, ceiling: 30 }), this.strokeWidth = t.strokeWidth || 0.75, this.innerStrokeWidth = t.innerStrokeWidth || 0.75, this.fillWeight = t.fillWeight || 0.85, this.labels = this.dataFormat === "object" ? "labels" : t.labels, this.values = this.dataFormat === "object" ? "values" : t.values, this.labels !== void 0 && this.values !== void 0 ? (this.legend = t.legend !== !1, this.legendPosition = t.legendPosition || "right", this.responsive = !0, this.boundRedraw = this.redraw.bind(this, t), this.initChartValues(t), this.resolveFont(), this.drawChart = this.resolveData(t.data), this.drawChart(), t.title !== "undefined" && this.setTitle(t.title), window.addEventListener("resize", this.resizeHandler.bind(this))) : console.log(`Error for ${this.el}: Must include labels and values when instantiating Donut chart. Skipping chart.`);
+ }
+ resizeHandler() {
+ this.responsive && this.boundRedraw();
+ }
+ remove() {
+ A(this.el).select("svg").remove();
+ }
+ redraw(t) {
+ this.remove(), this.initChartValues(t), this.resolveFont(), this.drawChart = this.resolveData(t.data), this.drawChart(), t.title !== "undefined" && this.setTitle(t.title);
+ }
+ initChartValues(t) {
+ this.roughness = t.roughness || this.roughness, this.stroke = t.stroke || this.stroke, this.strokeWidth = t.strokeWidth || this.strokeWidth, this.axisStrokeWidth = t.axisStrokeWidth || this.axisStrokeWidth, this.axisRoughness = t.axisRoughness || this.axisRoughness, this.innerStrokeWidth = t.innerStrokeWidth || this.innerStrokeWidth, this.fillWeight = t.fillWeight || this.fillWeight, this.fillStyle = t.fillStyle || this.fillStyle;
+ const e = A(this.el).node().getBoundingClientRect(), i = e.width, s = e.height;
+ this.width = i - this.margin.left - this.margin.right, this.height = s - this.margin.top - this.margin.bottom, this.roughId = this.el + "_svg", this.graphClass = this.el.substring(1, this.el.length), this.interactionG = "g." + this.graphClass, this.radius = Math.min(this.width, this.height) / 2, this.setSvg();
+ }
+ resolveData(t) {
+ return typeof t != "string" ? () => {
+ this.data = t, this.drawFromObject();
+ } : t.includes(".csv") ? () => {
+ pt(t).then((e) => {
+ this.data = e, this.drawFromFile();
+ });
+ } : t.includes(".tsv") ? () => {
+ mt(t).then((e) => {
+ this.data = e, this.drawFromFile();
+ });
+ } : t.includes(".json") ? () => {
+ ji(t).then((e) => {
+ this.data = e, this.drawFromFile();
+ });
+ } : void 0;
+ }
+ setTitle(t) {
+ this.svg.append("text").attr("x", this.width / 2).attr("y", 0 - this.margin.top / 3).attr("class", "title").attr("text-anchor", "middle").style("font-size", this.titleFontSize === void 0 ? `${Math.min(40, Math.min(this.width, this.height) / 4)}px` : this.titleFontSize).style("font-family", this.fontFamily).style("opacity", 0.8).text(t);
+ }
+ addInteraction() {
+ P(this.interactionG).append("g").attr("transform", `translate(${this.width / 2}, ${this.height / 2})`).data(this.dataFormat === "object" ? this.makePie(this.data[this.values]) : this.makePie(this.data)).append("path").attr("d", this.makeArc).attr("stroke-width", "0px").attr("fill", "transparent");
+ const t = A(this.el).append("div").style("opacity", 0).attr("class", "tooltip").style("position", "absolute").style("background-color", "white").style("border", "solid").style("border-width", "1px").style("border-radius", "5px").style("padding", "3px").style("font-family", this.fontFamily).style("font-size", this.tooltipFontSize).style("pointer-events", "none"), e = this;
+ let i;
+ P(this.interactionG).on("mouseover", function() {
+ t.style("opacity", 1), i = A(this).selectAll("path").style("stroke"), e.highlight === void 0 ? A(this).selectAll("path").style("opacity", 0.5) : A(this).selectAll("path").style("stroke", e.highlight);
+ }), P(this.interactionG).on("mouseout", function() {
+ t.style("opacity", 0), A(this).selectAll("path").style("stroke", i), A(this).selectAll("path").style("opacity", 1);
+ }), P(this.interactionG).on("mousemove", function(s) {
+ const n = A(this).attr("attrX"), h = A(this).attr("attrY"), r = yt(this);
+ t.html(`${n}: ${h}`).style("opacity", 0.95).attr("class", function(a) {
+ }).style("transform", `translate(${r[0] + e.margin.left}px,
+ ${r[1] - e.height - e.margin.bottom}px)`);
+ });
+ }
+ initRoughObjects() {
+ this.roughSvg = document.getElementById(this.roughId), this.rcAxis = I(this.roughSvg, { options: { strokeWidth: this.strokeWidth >= 3 ? 3 : this.strokeWidth } }), this.rc = I(this.roughSvg, { options: { fill: this.color, strokeWidth: this.innerStrokeWidth, roughness: this.roughness, bowing: this.bowing, fillStyle: this.fillStyle, fillWeight: this.fillWeight } });
+ }
+ drawFromObject() {
+ this.initRoughObjects(), this.makePie = ee(), this.makeArc = te().innerRadius(0).outerRadius(this.radius), this.arcs = this.makePie(this.data[this.values]), this.arcs.forEach((n, h) => {
+ if (n.value !== 0) {
+ const r = this.rc.arc(this.width / 2, this.height / 2, 2 * this.radius, 2 * this.radius, n.startAngle - Math.PI / 2, n.endAngle - Math.PI / 2, !0, { fill: this.colors[h], stroke: this.colors[h] });
+ r.setAttribute("class", this.graphClass);
+ const a = this.roughSvg.appendChild(r);
+ a.setAttribute("attrY", this.data[this.values][h]), a.setAttribute("attrX", this.data[this.labels][h]);
+ }
+ });
+ const t = this.rc.circle(this.width / 2, this.height / 2, this.radius, { fill: "white", strokeWidth: 0.05, fillWeight: 10, fillStyle: "solid" });
+ this.roughSvg.appendChild(t), P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width", this.strokeWidth);
+ const e = this.data.labels.map((n, h) => ({ color: this.colors[h], text: n })), i = 6 * e.reduce((n, h) => n > h.text.length ? n : h.text.length, 0) + 35, s = 11 * e.length + 8;
+ this.legend === !0 && ut(this, e, i, s), this.interactive === !0 && this.addInteraction();
+ }
+ drawFromFile() {
+ this.initRoughObjects(), this.makePie = ee().value((h) => h[this.values]).sort(null);
+ const t = [];
+ this.makeArc = te().innerRadius(0).outerRadius(this.radius), this.arcs = this.makePie(this.data), this.arcs.forEach((h, r) => {
+ if (h.value !== 0) {
+ const a = this.rc.arc(this.width / 2, this.height / 2, 2 * this.radius, 2 * this.radius, h.startAngle - Math.PI / 2, h.endAngle - Math.PI / 2, !0, { fill: this.colors[r], stroke: this.colors[r] });
+ a.setAttribute("class", this.graphClass);
+ const o = this.roughSvg.appendChild(a);
+ o.setAttribute("attrY", h.data[this.values]), o.setAttribute("attrX", h.data[this.labels]);
+ }
+ t.push(h.data[this.labels]);
+ });
+ const e = this.rc.circle(this.width / 2, this.height / 2, this.radius, { fill: "white", strokeWidth: 0.05, fillWeight: 10, fillStyle: "solid" });
+ this.roughSvg.appendChild(e), P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width", this.strokeWidth);
+ const i = t.map((h, r) => ({ color: this.colors[r], text: h })), s = 6 * i.reduce((h, r) => h > r.text.length ? h : r.text.length, 0) + 35, n = 11 * i.length + 8;
+ this.legend === !0 && ut(this, i, s, n), this.interactive === !0 && this.addInteraction();
+ }
+ }, Line: class extends ct {
+ constructor(t) {
+ super(t), this.margin = t.margin || { top: 50, right: 20, bottom: 50, left: 100 }, this.roughness = et({ roughness: t.roughness, defaultValue: 2.2 }), this.axisStrokeWidth = t.axisStrokeWidth || 0.5, this.axisRoughness = t.axisRoughness || 0.5, this.stroke = t.stroke || "black", this.fillWeight = t.fillWeight || 0.5, this.colors = t.colors, this.strokeWidth = t.strokeWidth || 1, this.axisFontSize = t.axisFontSize, this.x = t.x, this.y = this.dataFormat === "object" ? "y" : t.y, this.xValueFormat = t.xValueFormat, this.yValueFormat = t.yValueFormat, this.legend = t.legend !== !1, this.legendPosition = t.legendPosition || "right", this.circle = t.circle !== !1, this.circleRadius = t.circleRadius || 10, this.circleRoughness = et({ roughness: t.circleRoughness, defaultValue: 2 }), this.xLabel = t.xLabel || "", this.yLabel = t.yLabel || "", this.labelFontSize = t.labelFontSize || "1rem", this.dataFormat === "file" && (this.dataSources = [], this.yKeys = Object.keys(t).filter((e) => /y/.test(e)), this.yKeys.map((e, i) => {
+ e !== "yLabel" && this.dataSources.push(t[e]);
+ })), this.responsive = !0, this.boundRedraw = this.redraw.bind(this, t), this.initChartValues(t), this.resolveFont(), this.drawChart = this.resolveData(t.data), this.drawChart(), t.title !== "undefined" && this.setTitle(t.title), window.addEventListener("resize", this.resizeHandler.bind(this));
+ }
+ resizeHandler() {
+ this.responsive && this.boundRedraw();
+ }
+ remove() {
+ A(this.el).select("svg").remove();
+ }
+ redraw(t) {
+ this.remove(), this.initChartValues(t), this.resolveFont(), this.drawChart = this.resolveData(t.data), this.drawChart(), t.title !== "undefined" && this.setTitle(t.title);
+ }
+ initChartValues(t) {
+ this.roughness = t.roughness || this.roughness, this.stroke = t.stroke || this.stroke, this.strokeWidth = t.strokeWidth || this.strokeWidth, this.axisStrokeWidth = t.axisStrokeWidth || this.axisStrokeWidth, this.axisRoughness = t.axisRoughness || this.axisRoughness, this.innerStrokeWidth = t.innerStrokeWidth || this.innerStrokeWidth, this.fillWeight = t.fillWeight || this.fillWeight, this.fillStyle = t.fillStyle || this.fillStyle;
+ const e = A(this.el).node().getBoundingClientRect(), i = e.width, s = e.height;
+ this.width = i - this.margin.left - this.margin.right, this.height = s - this.margin.top - this.margin.bottom, this.roughId = this.el + "_svg", this.graphClass = this.el.substring(1, this.el.length), this.interactionG = "g." + this.graphClass, this.setSvg();
+ }
+ resolveData(t) {
+ return typeof t != "string" ? () => {
+ this.data = t, this.drawFromObject();
+ } : t.includes(".csv") ? () => {
+ pt(t).then((e) => {
+ this.data = e, this.drawFromFile();
+ });
+ } : t.includes(".tsv") ? () => {
+ mt(t).then((e) => {
+ this.data = e, this.drawFromFile();
+ });
+ } : void 0;
+ }
+ addScales() {
+ let t, e;
+ if (this.dataFormat !== "file")
+ t = ((n) => {
+ const h = Object.keys(n).map((o) => lt(n[o])), r = wt(h, (o) => o[0]), a = U(h, (o) => o[1]);
+ return [r, a];
+ })(this.data);
+ else {
+ const n = this.dataSources.map((a) => lt(this.data, (o) => +o[a])), h = wt(n, (a) => a[0]), r = U(n, (a) => a[1]);
+ t = [h, r];
+ }
+ if (this.x === void 0) {
+ const n = U(Object.keys(this.data).map((h) => this.data[h].length));
+ e = this.dataFormat === "file" ? [0, this.data.length] : [0, n];
+ } else
+ e = lt(this.x);
+ const i = t, s = i[1] - i[0];
+ this.xScale = this.x === void 0 ? Ti().range([0, this.width]).domain([...Array(e[1]).keys()]) : Ti().range([0, this.width]).domain(this.x), this.yScale = Z().range([this.height, 0]).domain([0, i[1] + 0.05 * s]);
+ }
+ addLabels() {
+ this.xLabel !== "" && this.svg.append("text").attr("x", this.width / 2).attr("y", this.height + this.margin.bottom / 1.3).attr("dx", "1em").attr("class", "labelText").style("text-anchor", "middle").style("font-family", this.fontFamily).style("font-size", this.labelFontSize).text(this.xLabel), this.yLabel !== "" && this.svg.append("text").attr("transform", "rotate(-90)").attr("y", 0 - this.margin.left / 2).attr("x", 0 - this.height / 2).attr("dy", "1em").attr("class", "labelText").style("text-anchor", "middle").style("font-family", this.fontFamily).style("font-size", this.labelFontSize).text(this.yLabel);
+ }
+ addAxes() {
+ const t = Lt(this.xScale).tickSize(0).tickFormat((i) => this.xValueFormat ? st(this.xValueFormat)(i) : i), e = Tt(this.yScale).tickSize(0).tickFormat((i) => this.yValueFormat ? st(this.yValueFormat)(i) : i);
+ this.svg.append("g").attr("transform", "translate(0," + this.height + ")").call(t).attr("class", `xAxis${this.graphClass}`).selectAll("text").attr("transform", "translate(-10, 0)rotate(-45)").style("text-anchor", "end").style("font-family", this.fontFamily).style("font-size", this.axisFontSize === void 0 ? `${Math.min(0.95, Math.min(this.width, this.height) / 140)}rem` : this.axisFontSize), this.svg.append("g").call(e).attr("class", `yAxis${this.graphClass}`).selectAll("text").style("font-family", this.fontFamily).style("font-size", this.axisFontSize === void 0 ? `${Math.min(0.95, Math.min(this.width, this.height) / 140)}rem` : this.axisFontSize), P("path.domain").attr("stroke", "transparent"), P("g.tick").style("opacity", 1);
+ }
+ makeAxesRough(t, e) {
+ const i = `xAxis${this.graphClass}`, s = `yAxis${this.graphClass}`, n = `rough-${i}`, h = `rough-${s}`;
+ A(`.${i}`).selectAll("path.domain").each(function(r, a) {
+ const o = A(this).node().getAttribute("d"), l = e.path(o, { stroke: "black", fillStyle: "hachure" });
+ l.setAttribute("class", n), t.appendChild(l);
+ }), P(`.${n}`).attr("transform", `translate(0, ${this.height})`), A(`.${s}`).selectAll("path.domain").each(function(r, a) {
+ const o = A(this).node().getAttribute("d"), l = e.path(o, { stroke: "black", fillStyle: "hachure" });
+ l.setAttribute("class", h), t.appendChild(l);
+ });
+ }
+ setTitle(t) {
+ this.svg.append("text").attr("x", this.width / 2).attr("y", 0 - this.margin.top / 2).attr("text-anchor", "middle").style("font-size", this.titleFontSize === void 0 ? `${Math.min(20, Math.min(this.width, this.height) / 4)}px` : this.titleFontSize).style("font-family", this.fontFamily).style("opacity", 0.8).text(t);
+ }
+ addInteraction() {
+ const t = this;
+ this.chartScreen = this.svg.append("g").attr("pointer-events", "all"), this.dataSources.map((e, i) => {
+ const s = (this.dataFormat === "file" ? this.data : this.data[e]).map((a, o) => this.x === void 0 ? [this.xScale(o), this.yScale(a[e])] : [this.xScale(this.x[o]), this.yScale(+a[e])]), n = s.filter((a) => a[0] !== void 0), h = function() {
+ var a = cr, o = ur, l = G(!0), c = null, u = lr, d = null;
+ function f(g) {
+ var p, y, m, x = g.length, k = !1;
+ for (c == null && (d = u(m = mi())), p = 0; p <= x; ++p)
+ !(p < x && l(y = g[p], p, g)) === k && ((k = !k) ? d.lineStart() : d.lineEnd()), k && d.point(+a(y, p, g), +o(y, p, g));
+ if (m)
+ return d = null, m + "" || null;
+ }
+ return f.x = function(g) {
+ return arguments.length ? (a = typeof g == "function" ? g : G(+g), f) : a;
+ }, f.y = function(g) {
+ return arguments.length ? (o = typeof g == "function" ? g : G(+g), f) : o;
+ }, f.defined = function(g) {
+ return arguments.length ? (l = typeof g == "function" ? g : G(!!g), f) : l;
+ }, f.curve = function(g) {
+ return arguments.length ? (u = g, c != null && (d = u(c)), f) : u;
+ }, f.context = function(g) {
+ return arguments.length ? (g == null ? c = d = null : d = u(c = g), f) : c;
+ }, f;
+ }().x((a) => a[0]).y((a) => a[1]);
+ this.svg.append("path").datum(n).attr("fill", "none").attr("stroke", "blue").attr("stroke-width", 1.5).attr("d", h).attr("visibility", "hidden");
+ const r = e + "class";
+ this.svg.append("g").attr("class", r + "text").append("text").style("font-size", this.tooltipFontSize).style("opacity", 0).style("font-family", this.fontFamily).attr("text-anchor", "middle").attr("alignment-baseline", "middle");
+ }), this.chartScreen.append("rect").attr("width", this.width).attr("height", this.height).attr("fill", "none").on("mousemove", function(e) {
+ const i = yt(this)[0], s = t.xScale.domain(), n = t.xScale.range(), h = Os(n[0], n[1] + 1, t.xScale.step()), r = Es(h, i), a = s[r];
+ t.dataSources.map((o, l) => {
+ const c = t.dataFormat === "file" ? t.x === void 0 ? t.data[a] : t.data[r] : t.data[o][r], u = "." + o + "classtext";
+ t.dataFormat === "file" ? A(u).selectAll("text").style("opacity", 1).html(t.x === void 0 ? `(${r},${c[o]})` : `(${t.x[r]}, ${c[o]})`).attr("x", t.x === void 0 ? t.xScale(r) : t.xScale(t.x[r])).attr("y", t.yScale(c[o]) - 6) : A(u).selectAll("text").style("opacity", 1).html(t.x === void 0 ? `(${r}, ${c})` : `(${t.x[r]}, ${c})`).attr("x", t.x === void 0 ? t.xScale(r) : t.xScale(t.x[r])).attr("y", t.yScale(c));
+ });
+ }).on("mouseout", () => {
+ t.dataSources.map((e) => {
+ A("." + e + "classtext").selectAll("text").style("opacity", 0);
+ });
+ });
+ }
+ initRoughObjects() {
+ this.roughSvg = document.getElementById(this.roughId), this.rcAxis = I(this.roughSvg, { options: { strokeWidth: this.axisStrokeWidth, roughness: this.axisRoughness } }), this.rc = I(this.roughSvg, { options: { stroke: this.stroke === "none" ? void 0 : this.stroke, strokeWidth: this.strokeWidth, roughness: this.roughness, bowing: this.bowing, fillStyle: this.fillStyle } });
+ }
+ drawFromObject() {
+ const t = this;
+ this.colors === void 0 && (this.colors = ft), this.dataSources = Object.keys(this.data), this.initRoughObjects(), this.addScales(), this.dataSources.map((n, h) => {
+ const r = this.data[n].map((l, c) => this.x === void 0 ? [this.xScale(c), this.yScale(+l)] : [this.xScale(this.x[c]), this.yScale(l)]), a = r.filter((l) => l[0] !== void 0);
+ console.log("roughness", t.roughness);
+ const o = this.rc.curve(a, { stroke: t.colors.length === 1 ? t.colors[0] : t.colors[h], roughness: t.roughness, bowing: t.bowing });
+ this.roughSvg.appendChild(o).setAttribute("class", this.graphClass), this.circle === !0 && r.forEach((l, c) => {
+ const u = this.rc.circle(l[0], l[1], this.circleRadius, { stroke: this.colors[h], fill: this.colors[h], fillStyle: "solid", strokeWidth: 1, roughness: this.circleRoughness });
+ this.roughSvg.appendChild(u);
+ });
+ });
+ const e = this.dataSources.map((n, h) => ({ color: this.colors[h], text: n })), i = 6 * e.reduce((n, h) => n > h.text.length ? n : h.text.length, 0) + 35, s = 11 * e.length + 8;
+ this.legend === !0 && ut(this, e, i, s, 2), this.addAxes(), this.addLabels(), this.makeAxesRough(this.roughSvg, this.rcAxis), this.interactive === !0 && this.addInteraction();
+ }
+ drawFromFile() {
+ this.colors === void 0 && (this.colors = ft), this.initRoughObjects(), this.addScales(), this.dataSources.map((s, n) => {
+ const h = this.data.map((o, l) => this.x === void 0 ? [this.xScale(l), this.yScale(o[s])] : [this.xScale(this.x[l]), this.yScale(+o[s])]), r = h.filter((o) => o[0] !== void 0), a = this.rc.curve(r, { stroke: this.colors[n], strokeWidth: this.strokeWidth, roughness: 1, bowing: 10 });
+ this.roughSvg.appendChild(a), this.circle === !0 && r.forEach((o, l) => {
+ const c = this.rc.circle(o[0], o[1], this.circleRadius, { stroke: this.colors[n], fill: this.colors[n], fillStyle: "solid", strokeWidth: 1, roughness: this.circleRoughness });
+ this.roughSvg.appendChild(c);
+ });
+ });
+ const t = this.dataSources.map((s, n) => ({ color: this.colors[n], text: s })), e = 6 * t.reduce((s, n) => s > n.text.length ? s : n.text.length, 0) + 35, i = 11 * t.length + 8;
+ this.legend === !0 && ut(this, t, e, i, 2), this.addAxes(), this.addLabels(), this.makeAxesRough(this.roughSvg, this.rcAxis), this.interactive === !0 && this.addInteraction();
+ }
+ }, Network: class extends ct {
+ constructor(t) {
+ super(t), this.data = t.data, this.links = t.links, this.margin = t.margin || { top: 50, right: 20, bottom: 10, left: 20 }, this.colors = t.colors || ft, this.highlight = t.highlight, this.roughness = et({ roughness: t.roughness, ceiling: 30, defaultValue: 0 }), this.strokeWidth = t.strokeWidth || 0.75, this.innerStrokeWidth = t.innerStrokeWidth || 0.75, this.fillWeight = t.fillWeight || 0.85, this.color = t.color || "skyblue", this.collision = t.collision || 1.4, this.radiusExtent = t.radiusExtent || [5, 20], this.radius = t.radius || "radius", this.textCallback = t.textCallback || ((e) => ""), this.colorCallback = t.colorCallback || ((e) => this.color), this.roughnessExtent = t.roughnessExtent || [0, 10], this.responsive = !0, this.boundRedraw = this.redraw.bind(this, t), this.legend = t.legend || !1, this.legendPosition = t.legendPosition || "right", this.initChartValues(t), this.resolveFont(), this.drawChart = this.resolveData(t.data, t.links), this.drawChart(), t.title !== "undefined" && this.setTitle(t.title);
+ }
+ resizeHandler() {
+ this.responsive && this.boundRedraw();
+ }
+ remove() {
+ A(this.el).select("svg").remove();
+ }
+ redraw(t) {
+ this.remove(), this.initChartValues(t), this.resolveFont(), this.drawChart = this.resolveData(t.data, t.links), this.drawChart(), t.title !== "undefined" && this.setTitle(t.title);
+ }
+ initChartValues(t) {
+ this.roughness = t.roughness || this.roughness, this.collision = t.collision || this.collision, this.color = t.color || this.color, this.stroke = t.stroke || this.stroke, this.strokeWidth = t.strokeWidth || this.strokeWidth, this.axisStrokeWidth = t.axisStrokeWidth || this.axisStrokeWidth, this.axisRoughness = t.axisRoughness || this.axisRoughness, this.innerStrokeWidth = t.innerStrokeWidth || this.innerStrokeWidth, this.fillWeight = t.fillWeight || this.fillWeight, this.fillStyle = t.fillStyle || this.fillStyle, this.title = t.title || this.title, this.textCallback = t.textCallback || ((n) => "");
+ const e = A(this.el).node().getBoundingClientRect(), i = e.width, s = e.height;
+ this.width = i - this.margin.left - this.margin.right, this.height = s - this.margin.top - this.margin.bottom, this.roughId = this.el + "_svg", this.graphClass = this.el.substring(1, this.el.length), this.interactionG = "g." + this.graphClass, this.setSvg();
+ }
+ resolveData(t, e) {
+ return () => {
+ this.data = t, this.links = e, this.drawFromObject();
+ };
+ }
+ setTitle(t) {
+ this.svg.append("text").attr("x", this.width / 2).attr("y", 0 - this.margin.top / 3).attr("class", "title").attr("text-anchor", "middle").style("font-size", this.titleFontSize === void 0 ? `${Math.min(40, Math.min(this.width, this.height) / 4)}px` : this.titleFontSize).style("font-family", this.fontFamily).style("opacity", 0.8).text(t);
+ }
+ addInteraction() {
+ const t = this;
+ let e;
+ P(".nodeGroup").on("mouseover", function(i) {
+ A(this).raise(), e = A(this).selectAll("path").style("stroke"), t.highlight === void 0 ? A(this).selectAll("path:nth-child(1)").style("opacity", 0.4) : A(this).selectAll("path:nth-child(1)").style("stroke", t.highlight), A(this).selectAll("path:nth-child(2)").style("stroke-width", t.strokeWidth + 1.2), A(this).select(".node-text").attr("opacity", 1);
+ }).on("mouseleave", function(i) {
+ A(this).selectAll("path:nth-child(1)").style("opacity", 1), A(this).selectAll("path:nth-child(1)").style("stroke", e), A(this).selectAll("path:nth-child(2)").style("stroke-width", t.innerStrokeWidth), A(this).select(".node-text").attr("opacity", 0);
+ });
+ }
+ initRoughObjects() {
+ this.roughSvg = document.getElementById(this.roughId), this.rcAxis = I(this.roughSvg, { options: { strokeWidth: this.strokeWidth >= 3 ? 3 : this.strokeWidth } }), this.rc = I(this.roughSvg, { options: { strokeWidth: this.innerStrokeWidth, fill: this.color, stroke: this.stroke === "none" ? void 0 : this.stroke, roughness: this.roughness, bowing: this.bowing, fillStyle: this.fillStyle } });
+ }
+ drawFromObject() {
+ const t = this;
+ let e, i;
+ if (typeof this.radius == "number")
+ e = Z().domain([0, 1]).range([this.extent[0], this.radiusExtent[1]]);
+ else {
+ const r = wt(this.data, (o) => +o[this.radius]), a = U(this.data, (o) => +o[this.radius]);
+ e = Z().domain([r, a]).range([this.radiusExtent[0], this.radiusExtent[1]]);
+ }
+ if (typeof this.roughness == "number")
+ i = Z().domain([0, 1]).range([this.roughnessExtent[0], this.roughnessExtent[1]]);
+ else {
+ const r = wt(this.data, (o) => +o[this.radius]), a = U(this.data, (o) => +o[this.radius]);
+ i = Z().domain([r, a]).range([this.roughnessExtent[0], this.roughnessExtent[1]]);
+ }
+ this.initRoughObjects();
+ const s = this.svg.selectAll(".link").data(this.links).enter().append("line").attr("class", "link"), n = this.svg.selectAll(".nodeGroup").data(this.data).enter().append("g").attr("class", "nodeGroup");
+ n.each(function(r, a) {
+ const o = typeof t.radius == "number" ? t.radius : e(r[t.radius]), l = typeof t.roughness == "number" ? t.roughness : i(r[t.roughness]), c = t.rc.circle(0, 0, o, { fill: t.colorCallback(r), simplification: t.simplification, fillWeight: t.fillWeight, roughness: l });
+ this.appendChild(c), c.setAttribute("class", t.graphClass + "_node"), A(this).append("circle").attr("class", "node-circle").attr("r", 0.5 * o).attr("fill", "transparent").attr("stroke", "black"), A(this).append("text").attr("class", "node-text").attr("x", 0).attr("y", -10).attr("text-anchor", "middle").style("pointer-events", "none").attr("stroke", "black").attr("fill", "white").attr("stroke-linejoin", "fill").attr("paint-order", "stroke fill").attr("stroke-width", "5px").attr("opacity", 0).text((u) => t.textCallback(u));
+ });
+ const h = js(this.data);
+ if (h.alpha(1).restart(), h.force("collide", Ps().radius((r) => r.radius * this.collision)).force("center", ws(this.width / 2, this.height / 2)).force("link", function(r) {
+ var a, o, l, c, u, d, f = Ar, g = function(v) {
+ return 1 / Math.min(c[v.source.index], c[v.target.index]);
+ }, p = Ht(30), y = 1;
+ function m(v) {
+ for (var w = 0, C = r.length; w < y; ++w)
+ for (var z, F, W, R, S, j, Y, L = 0; L < C; ++L)
+ F = (z = r[L]).source, R = (W = z.target).x + W.vx - F.x - F.vx || ye(d), S = W.y + W.vy - F.y - F.vy || ye(d), R *= j = ((j = Math.sqrt(R * R + S * S)) - o[L]) / j * v * a[L], S *= j, W.vx -= R * (Y = u[L]), W.vy -= S * Y, F.vx += R * (Y = 1 - Y), F.vy += S * Y;
+ }
+ function x() {
+ if (l) {
+ var v, w, C = l.length, z = r.length, F = new Map(l.map((W, R) => [f(W, R, l), W]));
+ for (v = 0, c = new Array(C); v < z; ++v)
+ (w = r[v]).index = v, typeof w.source != "object" && (w.source = Rs(F, w.source)), typeof w.target != "object" && (w.target = Rs(F, w.target)), c[w.source.index] = (c[w.source.index] || 0) + 1, c[w.target.index] = (c[w.target.index] || 0) + 1;
+ for (v = 0, u = new Array(z); v < z; ++v)
+ w = r[v], u[v] = c[w.source.index] / (c[w.source.index] + c[w.target.index]);
+ a = new Array(z), k(), o = new Array(z), M();
+ }
+ }
+ function k() {
+ if (l)
+ for (var v = 0, w = r.length; v < w; ++v)
+ a[v] = +g(r[v], v, r);
+ }
+ function M() {
+ if (l)
+ for (var v = 0, w = r.length; v < w; ++v)
+ o[v] = +p(r[v], v, r);
+ }
+ return r == null && (r = []), m.initialize = function(v, w) {
+ l = v, d = w, x();
+ }, m.links = function(v) {
+ return arguments.length ? (r = v, x(), m) : r;
+ }, m.id = function(v) {
+ return arguments.length ? (f = v, m) : f;
+ }, m.iterations = function(v) {
+ return arguments.length ? (y = +v, m) : y;
+ }, m.strength = function(v) {
+ return arguments.length ? (g = typeof v == "function" ? v : Ht(+v), k(), m) : g;
+ }, m.distance = function(v) {
+ return arguments.length ? (p = typeof v == "function" ? v : Ht(+v), M(), m) : p;
+ }, m;
+ }(this.links).distance(100)), h.on("tick", () => {
+ n.attr("transform", (r) => `translate(${r.x}, ${r.y})`), s.attr("x1", (r) => r.source.x).attr("y1", (r) => r.source.y).attr("x2", (r) => r.target.x).attr("y2", (r) => r.target.y);
+ }), P(".nodeGroup").selectAll("path:nth-child(2)").style("stroke-width", this.strokeWidth), this.interactive === !0 && this.addInteraction(), this.legend) {
+ const r = this.legend;
+ this.colors = this.legend.map((l) => l.color);
+ const a = 6 * r.reduce((l, c) => l > c.text.length ? l : c.text.length, 0) + 35, o = 11 * r.length + 8;
+ ut(this, r, a, o);
+ }
+ }
+ }, Force: class extends ct {
+ constructor(t) {
+ super(t), this.data = t.data, this.margin = t.margin || { top: 50, right: 20, bottom: 10, left: 20 }, this.colors = t.colors || ft, this.highlight = t.highlight, this.roughness = et({ roughness: t.roughness, ceiling: 30, defaultValue: 0 }), this.strokeWidth = t.strokeWidth || 0.75, this.innerStrokeWidth = t.innerStrokeWidth || 0.75, this.fillWeight = t.fillWeight || 0.85, this.color = t.color || "pink", this.collision = t.collision || 1, this.radiusExtent = t.radiusExtent || [5, 20], this.roughnessExtent = t.roughnessExtent || [0, 10], this.radius = t.radius || "radius", this.responsive = !0, this.boundRedraw = this.redraw.bind(this, t), this.textCallback = t.textCallback || ((e) => ""), this.colorCallback = t.colorCallback || ((e) => this.color), this.legend = t.legend || !1, this.legendPosition = t.legendPosition || "right", this.initChartValues(t), this.resolveFont(), this.drawChart = this.resolveData(t.data), this.drawChart(), t.title !== "undefined" && this.setTitle(t.title);
+ }
+ resizeHandler() {
+ this.responsive && this.boundRedraw();
+ }
+ remove() {
+ A(this.el).select("svg").remove();
+ }
+ redraw(t) {
+ this.remove(), this.initChartValues(t), this.resolveFont(), this.drawChart = this.resolveData(t.data), this.drawChart(), t.title !== "undefined" && this.setTitle(t.title);
+ }
+ initChartValues(t) {
+ this.roughness = t.roughness || this.roughness, this.collision = t.collision || this.collision, this.color = t.color || this.color, this.stroke = t.stroke || this.stroke, this.strokeWidth = t.strokeWidth || this.strokeWidth, this.axisStrokeWidth = t.axisStrokeWidth || this.axisStrokeWidth, this.axisRoughness = t.axisRoughness || this.axisRoughness, this.innerStrokeWidth = t.innerStrokeWidth || this.innerStrokeWidth, this.fillWeight = t.fillWeight || this.fillWeight, this.fillStyle = t.fillStyle || this.fillStyle, this.title = t.title || this.title, this.textCallback = t.textCallback || ((n) => "");
+ const e = A(this.el).node().getBoundingClientRect(), i = e.width, s = e.height;
+ this.width = i - this.margin.left - this.margin.right, this.height = s - this.margin.top - this.margin.bottom, this.roughId = this.el + "_svg", this.graphClass = this.el.substring(1, this.el.length), this.interactionG = "g." + this.graphClass, this.setSvg();
+ }
+ resolveData(t) {
+ return () => {
+ this.data = t, this.drawFromObject();
+ };
+ }
+ setTitle(t) {
+ this.svg.append("text").attr("x", this.width / 2).attr("y", 0 - this.margin.top / 3).attr("class", "title").attr("text-anchor", "middle").style("font-size", this.titleFontSize === void 0 ? `${Math.min(40, Math.min(this.width, this.height) / 4)}px` : this.titleFontSize).style("font-family", this.fontFamily).style("opacity", 0.8).text(t);
+ }
+ addInteraction() {
+ const t = this;
+ let e;
+ P(".nodeGroup").on("mouseover", function(i) {
+ e = A(this).selectAll("path").style("stroke"), A(this).raise(), t.highlight === void 0 ? A(this).selectAll("path:nth-child(1)").style("opacity", 0.4) : A(this).selectAll("path:nth-child(1)").style("stroke", t.highlight), A(this).selectAll("path:nth-child(2)").style("stroke-width", t.strokeWidth + 1.2), A(this).select(".node-text").attr("opacity", 1), A(this).select(".node-text").raise();
+ }).on("mouseleave", function(i) {
+ A(this).selectAll("path:nth-child(1)").style("opacity", 1), A(this).selectAll("path:nth-child(1)").style("stroke", e), A(this).selectAll("path:nth-child(2)").style("stroke-width", t.strokeWidth), A(this).select(".node-text").attr("opacity", 0);
+ });
+ }
+ initRoughObjects() {
+ this.roughSvg = document.getElementById(this.roughId), this.rcAxis = I(this.roughSvg, { options: { strokeWidth: this.strokeWidth >= 3 ? 3 : this.strokeWidth } }), this.rc = I(this.roughSvg, { options: { strokeWidth: this.innerStrokeWidth, fill: this.color, stroke: this.stroke === "none" ? void 0 : this.stroke, roughness: this.roughness, bowing: this.bowing, fillStyle: this.fillStyle } });
+ }
+ drawFromObject() {
+ const t = this;
+ let e, i;
+ if (typeof this.radius == "number")
+ e = Z().domain([0, 1]).range([this.radiusExtent[0], this.radiusExtent[1]]);
+ else {
+ const r = wt(this.data, (o) => +o[this.radius]), a = U(this.data, (o) => +o[this.radius]);
+ e = Z().domain([r, a]).range([this.radiusExtent[0], this.radiusExtent[1]]);
+ }
+ if (typeof this.roughness == "number")
+ i = Z().domain([0, 1]).range([this.roughnessExtent[0], this.roughnessExtent[1]]);
+ else {
+ const r = wt(this.data, (o) => +o[this.radius]), a = U(this.data, (o) => +o[this.radius]);
+ i = Z().domain([r, a]).range([this.roughnessExtent[0], this.roughnessExtent[1]]);
+ }
+ this.initRoughObjects();
+ let s = this.svg.selectAll(".nodeGroup").data(this.data), n = s.enter().append("g").attr("class", "nodeGroup");
+ s = s.merge(n), s.each(function(r, a) {
+ const o = typeof t.radius == "number" ? t.radius : e(r[t.radius]), l = typeof t.roughness == "number" ? t.roughness : i(r[t.roughness]), c = t.rc.circle(0, 0, o, { fill: t.colorCallback(r), simplification: t.simplification, fillWeight: t.fillWeight, roughness: l });
+ this.appendChild(c).setAttribute("class", t.graphClass + "_node"), A(this).append("circle").attr("class", "node-circle").attr("r", 0.5 * o).attr("fill", "transparent").attr("stroke", "black"), A(this).append("text").attr("class", "node-text").attr("x", 0).attr("y", -10).attr("text-anchor", "middle").style("pointer-events", "none").attr("stroke", "black").attr("fill", "white").attr("stroke-linejoin", "fill").attr("paint-order", "stroke fill").attr("stroke-width", "5px").attr("opacity", 0).text((u) => t.textCallback(u));
+ });
+ const h = js(this.data);
+ if (h.alpha(1).restart(), h.force("collide", Ps().radius((r) => r.radius * this.collision * 1.2)).force("center", ws(this.width / 2, this.height / 2)), h.on("tick", () => {
+ s.attr("transform", (r) => `translate(${r.x}, ${r.y})`), s.attr("attrX", (r) => +r.x), s.attr("attrY", (r) => +r.y);
+ }), P(".nodeGroup").selectAll("path:nth-child(2)").style("stroke-width", this.strokeWidth), this.interactive === !0 && this.addInteraction(), this.legend) {
+ const r = this.legend;
+ this.colors = this.legend.map((l) => l.color);
+ const a = 6 * r.reduce((l, c) => l > c.text.length ? l : c.text.length, 0) + 35, o = 11 * r.length + 8;
+ ut(this, r, a, o);
+ }
+ }
+ }, Pie: class extends ct {
+ constructor(t) {
+ super(t), this.data = t.data, this.margin = t.margin || { top: 50, right: 20, bottom: 10, left: 20 }, this.colors = t.colors || ft, this.highlight = t.highlight, this.roughness = et({ roughness: t.roughness, ceiling: 30, defaultValue: 0 }), this.strokeWidth = t.strokeWidth || 0.75, this.innerStrokeWidth = t.innerStrokeWidth || 0.75, this.fillWeight = t.fillWeight || 0.85, this.labels = this.dataFormat === "object" ? "labels" : t.labels, this.values = this.dataFormat === "object" ? "values" : t.values, this.labels !== void 0 && this.values !== void 0 ? (this.legend = t.legend !== !1, this.legendPosition = t.legendPosition || "right", this.responsive = !0, this.boundRedraw = this.redraw.bind(this, t), this.initChartValues(t), this.resolveFont(), this.drawChart = this.resolveData(t.data), this.drawChart(), t.title !== "undefined" && this.setTitle(t.title)) : console.log(`Error for ${this.el}: Must include labels and values when instantiating Donut chart. Skipping chart.`);
+ }
+ resizeHandler() {
+ this.responsive && this.boundRedraw();
+ }
+ remove() {
+ A(this.el).select("svg").remove();
+ }
+ redraw(t) {
+ this.remove(), this.initChartValues(t), this.resolveFont(), this.drawChart = this.resolveData(t.data), this.drawChart(), t.title !== "undefined" && this.setTitle(t.title);
+ }
+ initChartValues(t) {
+ this.roughness = t.roughness || this.roughness, this.stroke = t.stroke || this.stroke, this.strokeWidth = t.strokeWidth || this.strokeWidth, this.axisStrokeWidth = t.axisStrokeWidth || this.axisStrokeWidth, this.axisRoughness = t.axisRoughness || this.axisRoughness, this.innerStrokeWidth = t.innerStrokeWidth || this.innerStrokeWidth, this.fillWeight = t.fillWeight || this.fillWeight, this.fillStyle = t.fillStyle || this.fillStyle;
+ const e = A(this.el).node().getBoundingClientRect(), i = e.width, s = e.height;
+ this.width = i - this.margin.left - this.margin.right, this.height = s - this.margin.top - this.margin.bottom, this.roughId = this.el + "_svg", this.graphClass = this.el.substring(1, this.el.length), this.interactionG = "g." + this.graphClass, this.radius = Math.min(this.width, this.height) / 2, this.setSvg();
+ }
+ resolveData(t) {
+ return typeof t != "string" ? () => {
+ this.data = t, this.drawFromObject();
+ } : t.includes(".csv") ? () => {
+ pt(t).then((e) => {
+ this.data = e, this.drawFromFile();
+ });
+ } : t.includes(".tsv") ? () => {
+ mt(t).then((e) => {
+ this.data = e, this.drawFromFile();
+ });
+ } : t.includes(".json") ? () => {
+ ji(t).then((e) => {
+ this.data = e, this.drawFromFile();
+ });
+ } : void 0;
+ }
+ setTitle(t) {
+ this.svg.append("text").attr("x", this.width / 2).attr("y", 0 - this.margin.top / 3).attr("class", "title").attr("text-anchor", "middle").style("font-size", this.titleFontSize === void 0 ? `${Math.min(40, Math.min(this.width, this.height) / 4)}px` : this.titleFontSize).style("font-family", this.fontFamily).style("opacity", 0.8).text(t);
+ }
+ addInteraction() {
+ P(this.interactionG).append("g").attr("transform", `translate(${this.width / 2}, ${this.height / 2})`).data(this.dataFormat === "object" ? this.makePie(this.data[this.values]) : this.makePie(this.data)).append("path").attr("d", this.makeArc).attr("stroke-width", "0px").attr("fill", "transparent");
+ const t = A(this.el).append("div").style("opacity", 0).attr("class", "tooltip").style("position", "absolute").style("background-color", "white").style("border", "solid").style("border-width", "1px").style("border-radius", "5px").style("padding", "3px").style("font-family", this.fontFamily).style("font-size", this.tooltipFontSize).style("pointer-events", "none"), e = this;
+ let i;
+ P(this.interactionG).on("mouseover", function() {
+ t.style("opacity", 1), i = A(this).selectAll("path").style("stroke"), e.highlight === void 0 ? A(this).selectAll("path").style("opacity", 0.5) : A(this).selectAll("path").style("stroke", e.highlight);
+ }), P(this.interactionG).on("mouseout", function() {
+ t.style("opacity", 0), A(this).selectAll("path").style("stroke", i), A(this).selectAll("path").style("opacity", 1);
+ }), P(this.interactionG).on("mousemove", function(s) {
+ const n = A(this).attr("attrX"), h = A(this).attr("attrY"), r = yt(this);
+ t.html(`${n}: ${h}`).style("opacity", 0.95).attr("class", function(a) {
+ }).style("transform", `translate(${r[0] + e.margin.left}px,
+ ${r[1] - e.height - e.margin.bottom}px)`);
+ });
+ }
+ initRoughObjects() {
+ this.roughSvg = document.getElementById(this.roughId), this.rcAxis = I(this.roughSvg, { options: { strokeWidth: this.strokeWidth >= 3 ? 3 : this.strokeWidth } }), this.rc = I(this.roughSvg, { options: { fill: this.color, strokeWidth: this.innerStrokeWidth, roughness: this.roughness, bowing: this.bowing, fillStyle: this.fillStyle } });
+ }
+ drawFromObject() {
+ this.initRoughObjects(), this.makePie = ee(), this.makeArc = te().innerRadius(0).outerRadius(this.radius), this.arcs = this.makePie(this.data[this.values]), this.arcs.forEach((s, n) => {
+ if (s.value !== 0) {
+ const h = this.rc.arc(this.width / 2, this.height / 2, 2 * this.radius, 2 * this.radius, s.startAngle - Math.PI / 2, s.endAngle - Math.PI / 2, !0, { fill: this.colors[n], stroke: this.colors[n] });
+ h.setAttribute("class", this.graphClass);
+ const r = this.roughSvg.appendChild(h);
+ r.setAttribute("attrY", this.data[this.values][n]), r.setAttribute("attrX", this.data[this.labels][n]);
+ }
+ }), P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width", this.strokeWidth);
+ const t = this.data.labels.map((s, n) => ({ color: this.colors[n], text: s })), e = 6 * t.reduce((s, n) => s > n.text.length ? s : n.text.length, 0) + 35, i = 11 * t.length + 8;
+ this.legend === !0 && ut(this, t, e, i), this.interactive === !0 && this.addInteraction();
+ }
+ drawFromFile() {
+ this.initRoughObjects(), this.makePie = ee().value((n) => n[this.values]).sort(null);
+ const t = [];
+ this.makeArc = te().innerRadius(0).outerRadius(this.radius), this.arcs = this.makePie(this.data), this.arcs.forEach((n, h) => {
+ if (n.value !== 0) {
+ const r = this.rc.arc(this.width / 2, this.height / 2, 2 * this.radius, 2 * this.radius, n.startAngle - Math.PI / 2, n.endAngle - Math.PI / 2, !0, { fill: this.colors[h], stroke: this.colors[h] });
+ r.setAttribute("class", this.graphClass);
+ const a = this.roughSvg.appendChild(r);
+ a.setAttribute("attrY", n.data[this.values]), a.setAttribute("attrX", n.data[this.labels]);
+ }
+ t.push(n.data[this.labels]);
+ }), P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width", this.strokeWidth);
+ const e = t.map((n, h) => ({ color: this.colors[h], text: n })), i = 6 * e.reduce((n, h) => n > h.text.length ? n : h.text.length, 0) + 35, s = 11 * e.length + 8;
+ this.legend === !0 && ut(this, e, i, s), this.interactive === !0 && this.addInteraction();
+ }
+ }, Scatter: class extends ct {
+ constructor(t) {
+ super(t), this.margin = t.margin || { top: 50, right: 20, bottom: 50, left: 100 }, this.colorVar = t.colorVar, this.roughness = et({ roughness: t.roughness }), this.highlight = t.highlight, this.highlightLabel = t.highlightLabel || "xy", this.radius = t.radius || 8, this.axisStrokeWidth = t.axisStrokeWidth || 0.4, this.axisRoughness = t.axisRoughness || 0.9, this.curbZero = t.curbZero === !0, this.innerStrokeWidth = t.innerStrokeWidth || 1, this.stroke = t.stroke || "black", this.fillWeight = t.fillWeight || 0.85, this.colors = t.colors, this.strokeWidth = t.strokeWidth || 1, this.axisFontSize = t.axisFontSize, this.x = this.dataFormat === "object" ? "x" : t.x, this.y = this.dataFormat === "object" ? "y" : t.y, this.xValueFormat = t.xValueFormat, this.yValueFormat = t.yValueFormat, this.xLabel = t.xLabel || "", this.yLabel = t.yLabel || "", this.labelFontSize = t.labelFontSize || "1rem", this.responsive = !0, this.boundRedraw = this.redraw.bind(this, t), this.initChartValues(t), this.resolveFont(), this.drawChart = this.resolveData(t.data), this.drawChart(), t.title !== "undefined" && this.setTitle(t.title), window.addEventListener("resize", this.resizeHandler.bind(this));
+ }
+ resizeHandler() {
+ this.responsive && this.boundRedraw();
+ }
+ remove() {
+ A(this.el).select("svg").remove();
+ }
+ redraw(t) {
+ this.remove(), this.initChartValues(t), this.resolveFont(), this.drawChart = this.resolveData(t.data), this.drawChart();
+ }
+ initChartValues(t) {
+ this.roughness = t.roughness || this.roughness, this.stroke = t.stroke || this.stroke, this.strokeWidth = t.strokeWidth || this.strokeWidth, this.axisStrokeWidth = t.axisStrokeWidth || this.axisStrokeWidth, this.axisRoughness = t.axisRoughness || this.axisRoughness, this.innerStrokeWidth = t.innerStrokeWidth || this.innerStrokeWidth, this.fillWeight = t.fillWeight || this.fillWeight, this.fillStyle = t.fillStyle || this.fillStyle;
+ const e = A(this.el).node().getBoundingClientRect(), i = e.width, s = e.height;
+ this.width = i - this.margin.left - this.margin.right, this.height = s - this.margin.top - this.margin.bottom, this.roughId = this.el + "_svg", this.graphClass = this.el.substring(1, this.el.length), this.interactionG = "g." + this.graphClass, this.setSvg();
+ }
+ resolveData(t) {
+ return typeof t != "string" ? () => {
+ this.data = t, this.drawFromObject();
+ } : t.includes(".csv") ? () => {
+ pt(t).then((e) => {
+ console.log(e), this.data = e, this.drawFromFile();
+ });
+ } : t.includes(".tsv") ? () => {
+ mt(t).then((e) => {
+ this.data = e, this.drawFromFile();
+ });
+ } : void 0;
+ }
+ addScales() {
+ const t = this.dataFormat === "file" ? lt(this.data, (h) => +h[this.x]) : lt(this.data[this.x]), e = t[1] - t[0], i = this.dataFormat === "file" ? lt(this.data, (h) => +h[this.y]) : lt(this.data[this.y]), s = i[1] - i[0], n = this.dataFormat === "file" ? lt(this.data, (h) => h[this.colorVar]) : [1, 1];
+ if (this.dataFormat === "file") {
+ const h = lt(this.data, (a) => +a[this.radius]), r = Math.min(this.width, this.height) / 2 / 2;
+ this.radiusScale = Z().range([8, r]).domain(h);
+ }
+ this.curbZero === !0 && (i[0] > 0 && (i[0] = 0), t[0] > 0 && (t[0] = 0)), this.xScale = Z().range([0, this.width]).domain([t[0] - 0.05 * e, t[1] + 0.05 * e]), this.yScale = Z().range([this.height, 0]).domain([i[0] - 0.05 * s, i[1] + 0.05 * s]), this.colorScale = ue().range(this.colors).domain(n);
+ }
+ addLabels() {
+ this.xLabel !== "" && this.svg.append("text").attr("x", this.width / 2).attr("y", this.height + this.margin.bottom / 1.3).attr("dx", "1em").attr("class", "labelText").style("text-anchor", "middle").style("font-family", this.fontFamily).style("font-size", this.labelFontSize).text(this.xLabel), this.yLabel !== "" && this.svg.append("text").attr("transform", "rotate(-90)").attr("y", 0 - this.margin.left / 2).attr("x", 0 - this.height / 2).attr("dy", "1em").attr("class", "labelText").style("text-anchor", "middle").style("font-family", this.fontFamily).style("font-size", this.labelFontSize).text(this.yLabel);
+ }
+ addAxes() {
+ const t = Lt(this.xScale).tickSize(0).tickFormat((i) => this.xValueFormat ? st(this.xValueFormat)(i) : i), e = Tt(this.yScale).tickSize(0).tickFormat((i) => this.yValueFormat ? st(this.yValueFormat)(i) : i);
+ this.svg.append("g").attr("transform", "translate(0," + this.height + ")").call(t).attr("class", `xAxis${this.graphClass}`).selectAll("text").attr("transform", "translate(-10, 0)rotate(-45)").style("text-anchor", "end").style("font-family", this.fontFamily).style("font-size", this.axisFontSize === void 0 ? `${Math.min(0.95, Math.min(this.width, this.height) / 140)}rem` : this.axisFontSize), this.svg.append("g").call(e).attr("class", `yAxis${this.graphClass}`).selectAll("text").style("font-family", this.fontFamily).style("font-size", this.axisFontSize === void 0 ? `${Math.min(0.95, Math.min(this.width, this.height) / 140)}rem` : this.axisFontSize), P("path.domain").attr("stroke", "transparent"), P("g.tick").style("opacity", 1);
+ }
+ makeAxesRough(t, e) {
+ const i = `xAxis${this.graphClass}`, s = `yAxis${this.graphClass}`, n = `rough-${i}`, h = `rough-${s}`;
+ A(`.${i}`).selectAll("path.domain").each(function(r, a) {
+ const o = A(this).node().getAttribute("d"), l = e.path(o, { stroke: "black", fillStyle: "hachure" });
+ l.setAttribute("class", n), t.appendChild(l);
+ }), P(`.${n}`).attr("transform", `translate(0, ${this.height})`), A(`.${s}`).selectAll("path.domain").each(function(r, a) {
+ const o = A(this).node().getAttribute("d"), l = e.path(o, { stroke: "black", fillStyle: "hachure" });
+ l.setAttribute("class", h), t.appendChild(l);
+ });
+ }
+ setTitle(t) {
+ this.svg.append("text").attr("x", this.width / 2).attr("y", 0 - this.margin.top / 2).attr("text-anchor", "middle").style("font-size", this.titleFontSize === void 0 ? `${Math.min(20, Math.min(this.width, this.height) / 4)}px` : this.titleFontSize).style("font-family", this.fontFamily).style("opacity", 0.8).text(t);
+ }
+ addInteraction() {
+ const t = P(this.interactionG).data(this.dataFormat === "file" ? this.data : this.data.x).append("circle").attr("cx", (n, h) => this.dataFormat === "file" ? this.xScale(+n[this.x]) : this.xScale(+this.data[this.x][h])).attr("cy", (n, h) => this.dataFormat === "file" ? this.yScale(+n[this.y]) : this.yScale(+this.data[this.y][h]));
+ this.dataFormat === "file" ? t.attr("r", (n) => typeof this.radius == "number" ? 0.7 * this.radius : 0.6 * this.radiusScale(+n[this.radius])).attr("fill", "transparent") : t.attr("r", (n, h) => typeof this.radius == "number" ? 0.7 * this.radius : 0.6 * this.radius[h]).attr("fill", "transparent");
+ let e = A(this.el).append("div").style("opacity", 0).attr("class", "tooltip").style("position", "absolute").style("background-color", "white").style("border", "solid").style("border-width", "1px").style("border-radius", "5px").style("padding", "3px").style("font-family", this.fontFamily).style("font-size", this.tooltipFontSize).style("pointer-events", "none");
+ const i = this;
+ let s;
+ P(this.interactionG).on("mouseover", function() {
+ e.style("opacity", 1), s = A(this).selectAll("path").style("stroke"), i.highlight === void 0 ? A(this).selectAll("path:nth-child(1)").style("opacity", 0.4) : A(this).selectAll("path:nth-child(1)").style("stroke", i.highlight), A(this).selectAll("path:nth-child(2)").style("stroke-width", i.strokeWidth + 1.2);
+ }), P(this.interactionG).on("mouseout", function() {
+ e.style("opacity", 0), A(this).selectAll("path").style("opacity", 1), A(this).selectAll("path:nth-child(1)").style("stroke", s), A(this).selectAll("path:nth-child(2)").style("stroke", i.stroke), A(this).selectAll("path:nth-child(2)").style("stroke-width", i.strokeWidth);
+ }), P(this.interactionG).on("mousemove", function(n) {
+ const h = A(this).attr("attrX"), r = A(this).attr("attrY"), a = A(this).attr("attrHighlightLabel"), o = yt(this);
+ e.html(i.highlightLabel === "xy" ? `x: ${h}
y: ${r}` : `${a}`).attr("class", function(l) {
+ }).style("transform", `translate(${o[0] + i.margin.left}px,
+ ${o[1] - (i.height + i.margin.top + i.margin.bottom / 2)}px)`);
+ });
+ }
+ initRoughObjects() {
+ this.roughSvg = document.getElementById(this.roughId), this.rcAxis = I(this.roughSvg, { options: { strokeWidth: this.axisStrokeWidth, roughness: this.axisRoughness } }), this.rc = I(this.roughSvg, { options: { stroke: this.stroke === "none" ? void 0 : this.stroke, strokeWidth: this.innerStrokeWidth, roughness: this.roughness, bowing: this.bowing, fillStyle: this.fillStyle } });
+ }
+ drawFromObject() {
+ this.colors === void 0 && (this.colors = Cs[0]), this.initRoughObjects(), this.addScales(), this.addAxes(), this.makeAxesRough(this.roughSvg, this.rcAxis), this.addLabels(), this.data.x.forEach((t, e) => {
+ const i = this.rc.circle(this.xScale(+t), this.yScale(+this.data[this.y][e]), typeof this.radius == "number" ? this.radius : this.radius[e], { fill: typeof this.colors == "string" ? this.colors : this.colors.length === 1 ? this.colors[0] : this.colors[e], simplification: this.simplification, fillWeight: this.fillWeight }), s = this.roughSvg.appendChild(i);
+ s.setAttribute("class", this.graphClass), s.setAttribute("attrX", t), s.setAttribute("attrY", this.data[this.y][e]), s.setAttribute("attrHighlightLabel", this.data[this.highlightLabel]);
+ }), P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width", this.strokeWidth), this.interactive === !0 && this.addInteraction();
+ }
+ drawFromFile() {
+ this.colors === void 0 && (this.colors = Cs), this.initRoughObjects(), this.addScales(), this.addAxes(), this.makeAxesRough(this.roughSvg, this.rcAxis), this.addLabels(), this.data.forEach((t, e) => {
+ const i = this.rc.circle(this.xScale(+t[this.x]), this.yScale(+t[this.y]), typeof this.radius == "number" ? this.radius : this.radiusScale(+t[this.radius]), { fill: this.colorVar === void 0 ? this.colors[0] : this.colorScale(t[this.colorVar]), simplification: this.simplification, fillWeight: this.fillWeight }), s = this.roughSvg.appendChild(i);
+ s.setAttribute("class", this.graphClass), s.setAttribute("attrX", t[this.x]), s.setAttribute("attrY", t[this.y]), s.setAttribute("attrHighlightLabel", t[this.highlightLabel]);
+ }), P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width", this.strokeWidth), this.interactive === !0 && this.addInteraction();
+ }
+ }, StackedBar: class extends ct {
+ constructor(t) {
+ super(t), this.data = t.data, this.margin = t.margin || { top: 50, right: 20, bottom: 70, left: 100 }, this.color = t.color || "red", this.highlight = t.highlight || "coral", this.roughness = et({ roughness: t.roughness }), this.stroke = t.stroke || "black", this.strokeWidth = t.strokeWidth || 1, this.axisStrokeWidth = t.axisStrokeWidth || 0.5, this.axisRoughness = t.axisRoughness || 0.5, this.innerStrokeWidth = t.innerStrokeWidth || 1, this.fillWeight = t.fillWeight || 0.5, this.axisFontSize = t.axisFontSize, this.labels = t.labels, this.values = t.values, this.stackColorMapping = {}, this.padding = t.padding || 0.1, this.xLabel = t.xLabel || "", this.yLabel = t.yLabel || "", this.labelFontSize = t.labelFontSize || "1rem", this.responsive = !0, this.boundRedraw = this.redraw.bind(this, t), this.initChartValues(t), this.resolveFont(), this.drawChart = this.resolveData(t.data), this.drawChart(), t.title !== "undefined" && this.setTitle(t.title), window.addEventListener("resize", this.resizeHandler.bind(this));
+ }
+ resizeHandler() {
+ this.responsive && this.boundRedraw();
+ }
+ remove() {
+ A(this.el).select("svg").remove();
+ }
+ redraw(t) {
+ this.remove(), this.initChartValues(t), this.resolveFont(), this.drawChart = this.resolveData(t.data), this.drawChart(), t.title !== "undefined" && this.setTitle(t.title);
+ }
+ initChartValues(t) {
+ this.roughness = t.roughness || this.roughness, this.stroke = t.stroke || this.stroke, this.strokeWidth = t.strokeWidth || this.strokeWidth, this.axisStrokeWidth = t.axisStrokeWidth || this.axisStrokeWidth, this.axisRoughness = t.axisRoughness || this.axisRoughness, this.innerStrokeWidth = t.innerStrokeWidth || this.innerStrokeWidth, this.fillWeight = t.fillWeight || this.fillWeight, this.fillStyle = t.fillStyle || this.fillStyle;
+ const e = A(this.el).node().getBoundingClientRect(), i = e.width, s = e.height;
+ this.width = i - this.margin.left - this.margin.right, this.height = s - this.margin.top - this.margin.bottom, this.roughId = this.el + "_svg", this.graphClass = this.el.substring(1, this.el.length), this.interactionG = "g." + this.graphClass, this.setSvg();
+ }
+ getTotal(t) {
+ for (let e = 0; e < t.length; e++) {
+ let i = 0;
+ for (let s = 0; s < t.columns.length; ++s)
+ t.columns[s] !== this.labels && (i += t[e][t.columns[s]] = +t[e][t.columns[s]]);
+ t[e].total = i;
+ }
+ return t;
+ }
+ updateColorMapping(t) {
+ this.stackColorMapping[t] || (this.stackColorMapping[t] = ft[Object.keys(this.stackColorMapping).length]);
+ }
+ resolveData(t) {
+ return typeof t != "string" ? () => {
+ this.data = t, t = t.map((e) => (Object.keys(e).includes("total") && (e.total = 0), e));
+ for (let e = 0; e < t.length; ++e) {
+ let i = 0;
+ Object.keys(t[e]).forEach((s) => {
+ s !== this.labels && s !== "total" && (this.updateColorMapping(s), i += t[e][s]);
+ }), t[e].total = i;
+ }
+ this.drawFromObject();
+ } : t.includes(".csv") ? () => {
+ pt(t).then((e) => {
+ this.getTotal(e), this.data = e, this.drawFromFile();
+ });
+ } : t.includes(".tsv") ? () => {
+ mt(t).then((e) => {
+ this.getTotal(e), this.data = e, this.drawFromFile();
+ });
+ } : void 0;
+ }
+ addScales() {
+ this.xScale = qt().rangeRound([0, this.width]).padding(this.padding).domain(this.data.map((e) => e[this.labels])), this.yScale = Z().rangeRound([this.height, 0]).domain([0, U(this.data, (e) => e.total)]).nice();
+ const t = this.dataFormat === "object" ? this.data.map((e) => e[this.labels]) : this.data.columns;
+ this.zScale = ue().range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]).domain(t);
+ }
+ addLabels() {
+ this.xLabel !== "" && this.svg.append("text").attr("x", this.width / 2).attr("y", this.height + this.margin.bottom / 2).attr("dx", "1em").attr("class", "labelText").style("text-anchor", "middle").style("font-family", this.fontFamily).style("font-size", this.labelFontSize).text(this.xLabel), this.yLabel !== "" && this.svg.append("text").attr("transform", "rotate(-90)").attr("y", 0 - this.margin.left / 1.4).attr("x", 0 - this.height / 2).attr("dy", "1em").attr("class", "labelText").style("text-anchor", "middle").style("font-family", this.fontFamily).style("font-size", this.labelFontSize).text(this.yLabel);
+ }
+ addAxes() {
+ const t = Lt(this.xScale).tickSize(0);
+ this.svg.append("g").attr("transform", "translate(0," + this.height + ")").call(t).attr("class", `xAxis${this.graphClass}`).selectAll("text").attr("transform", "translate(-10,0)rotate(-45)").style("text-anchor", "end").style("font-family", this.fontFamily).style("font-size", this.axisFontSize === void 0 ? `${Math.min(0.8, Math.min(this.width, this.height) / 140)}rem` : this.axisFontSize).style("opacity", 0.9);
+ const e = Tt(this.yScale).tickSize(0);
+ this.svg.append("g").call(e).attr("class", `yAxis${this.graphClass}`).selectAll("text").style("font-family", this.fontFamily).style("font-size", this.axisFontSize === void 0 ? `${Math.min(0.95, Math.min(this.width, this.height) / 140)}rem` : this.axisFontSize).style("opacity", 0.9), P("path.domain").attr("stroke", "transparent");
+ }
+ makeAxesRough(t, e) {
+ const i = `xAxis${this.graphClass}`, s = `yAxis${this.graphClass}`, n = `rough-${i}`, h = `rough-${s}`;
+ A(`.${i}`).selectAll("path.domain").each(function(r, a) {
+ const o = A(this).node().getAttribute("d"), l = e.path(o, { fillStyle: "hachure" });
+ l.setAttribute("class", n), t.appendChild(l);
+ }), P(`.${n}`).attr("transform", `translate(0, ${this.height})`), A(`.${s}`).selectAll("path.domain").each(function(r, a) {
+ const o = A(this).node().getAttribute("d"), l = e.path(o, { fillStyle: "hachure" });
+ l.setAttribute("class", h), t.appendChild(l);
+ });
+ }
+ setTitle(t) {
+ this.svg.append("text").attr("x", this.width / 2).attr("y", 0 - this.margin.top / 2).attr("class", "title").attr("text-anchor", "middle").style("font-size", this.titleFontSize === void 0 ? `${Math.min(40, Math.min(this.width, this.height) / 5)}px` : this.titleFontSize).style("font-family", this.fontFamily).style("opacity", 0.8).text(t);
+ }
+ addInteraction() {
+ P(this.interactionG).each(function(s, n) {
+ const h = this.attributes;
+ A(this).append("rect").attr("x", h.x.value).attr("y", h.y.value).attr("width", h.width.value).attr("height", h.height.value).attr("fill", "transparent");
+ });
+ const t = A(this.el).append("div").style("opacity", 0).attr("class", "tooltip").style("position", "absolute").style("background-color", "white").style("border", "solid").style("border-width", "1px").style("border-radius", "5px").style("padding", "3px").style("font-family", this.fontFamily).style("font-size", this.tooltipFontSize).style("pointer-events", "none"), e = this;
+ let i;
+ P(this.interactionG).on("mouseover", function() {
+ t.style("opacity", 1), i = A(this).selectAll("path").style("stroke"), A(this).select("path").style("stroke", e.highlight), A(this).selectAll("path:nth-child(2)").style("stroke-width", e.strokeWidth + 1.2);
+ }), P(this.interactionG).on("mouseout", function() {
+ t.style("opacity", 0), A(this).select("path").style("stroke", i), A(this).selectAll("path:nth-child(2)").style("stroke-width", e.strokeWidth);
+ }), P(this.interactionG).on("mousemove", function(s) {
+ const n = A(this).attr("attrX"), h = A(this).attr("attrY"), r = yt(this);
+ t.html(`${n}: ${h}`).style("opacity", 0.95).attr("class", function(a) {
+ }).style("transform", `translate(${r[0] + e.margin.left}px,
+ ${r[1] - (e.height + e.margin.top + e.margin.bottom / 2)}px)`);
+ });
+ }
+ initRoughObjects() {
+ this.roughSvg = document.getElementById(this.roughId), this.rcAxis = I(this.roughSvg, { options: { strokeWidth: this.axisStrokeWidth, roughness: this.axisRoughness } }), this.rc = I(this.roughSvg, { options: { stroke: this.stroke === "none" ? void 0 : this.stroke, strokeWidth: this.innerStrokeWidth, roughness: this.roughness, bowing: this.bowing, fillStyle: this.fillStyle } });
+ }
+ stacking() {
+ this.data.forEach((t) => {
+ const e = Object.keys(t);
+ let i = 0;
+ e.forEach((s, n) => {
+ if (n > 0 && s !== "total") {
+ i += parseInt(t[s], 10);
+ const h = this.xScale(t[this.labels]), r = this.yScale(i), a = this.xScale.bandwidth(), o = this.height - this.yScale(+t[s]), l = this.rc.rectangle(h, r, a, o, { fill: this.stackColorMapping[s] || this.colors[n], stroke: this.stackColorMapping[s] || this.colors[n], simplification: this.simplification, fillWeight: this.fillWeight }), c = this.roughSvg.appendChild(l);
+ c.setAttribute("class", this.graphClass), c.setAttribute("attrX", t[this.labels]), c.setAttribute("keyY", s), c.setAttribute("attrY", +t[s]), c.setAttribute("x", h), c.setAttribute("y", r), c.setAttribute("width", a), c.setAttribute("height", o);
+ }
+ });
+ });
+ }
+ drawFromObject() {
+ this.initRoughObjects(), this.addScales(), this.addAxes(), this.makeAxesRough(this.roughSvg, this.rcAxis), this.addLabels(), this.stacking(), P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width", this.strokeWidth), this.interactive === !0 && this.addInteraction();
+ }
+ drawFromFile() {
+ this.initRoughObjects(), this.addScales(), this.addAxes(), this.makeAxesRough(this.roughSvg, this.rcAxis), this.addLabels(), this.stacking(), P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width", this.strokeWidth), this.interactive === !0 && this.addInteraction();
+ }
+ } };
+});
+export default Pr();
diff --git a/dist/roughviz.umd.js b/dist/roughviz.umd.js
new file mode 100644
index 0000000..2c7e887
--- /dev/null
+++ b/dist/roughviz.umd.js
@@ -0,0 +1,26 @@
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d=1*(1+.2*s.roughness),f=1.5*(1+.22*s.roughness);n.push({op:"move",data:[t.x+b(d,s),t.y+b(d,s)]});let g=[r+b(d,s),a+b(d,s)];n.push({op:"qcurveTo",data:[o+b(d,s),l+b(d,s),g[0],g[1]]}),n.push({op:"move",data:[t.x+b(f,s),t.y+b(f,s)]}),g=[r+b(f,s),a+b(f,s)],n.push({op:"qcurveTo",data:[o+b(f,s),l+b(f,s),g[0],g[1]]}),t.setPosition(g[0],g[1]),t.quadReflectionPoint=[r+(r-o),a+(a-l)]}break}case"A":case"a":{const h=e.key==="a";if(e.data.length>=7){const r=+e.data[0],a=+e.data[1],o=+e.data[2],l=+e.data[3],c=+e.data[4];let u=+e.data[5],d=+e.data[6];if(h&&(u+=t.x,d+=t.y),u===t.x&&d===t.y)break;if(r===0||a===0)n=n.concat(J(t.x,t.y,u,d,s)),t.setPosition(u,d);else for(let f=0;f<1;f++){const g=new Gh([t.x,t.y],[u,d],[r,a],o,!!l,!!c);let p=g.getNextSegment();for(;p;){const y=_e(p.cp1[0],p.cp1[1],p.cp2[0],p.cp2[1],p.to[0],p.to[1],t,s);n=n.concat(y),p=g.getNextSegment()}}}break}}return n}const Hh=typeof self<"u",Q="none";class Xh{constructor(e,i){this.defaultOptions={maxRandomnessOffset:2,roughness:1,bowing:1,stroke:"#000",strokeWidth:1,curveTightness:0,curveFitting:.95,curveStepCount:9,fillStyle:"hachure",fillWeight:-1,hachureAngle:-41,hachureGap:-1,dashOffset:-1,dashGap:-1,zigzagOffset:-1,seed:0,roughnessGain:1},this.config=e||{},this.surface=i,this.config.options&&(this.defaultOptions=this._options(this.config.options))}static newSeed(){return Math.floor(Math.random()*2**31)}_options(e){return e?Object.assign({},this.defaultOptions,e):this.defaultOptions}_drawable(e,i,s){return{shape:e,sets:i||[],options:s||this.defaultOptions}}line(e,i,s,n,h){const r=this._options(h);return this._drawable("line",[xs(e,i,s,n,r)],r)}rectangle(e,i,s,n,h){const r=this._options(h),a=[],o=function(l,c,u,d,f){return function(g,p){return Ue(g,!0,p)}([[l,c],[l+u,c],[l+u,c+d],[l,c+d]],f)}(e,i,s,n,r);if(r.fill){const l=[[e,i],[e+s,i],[e+s,i+n],[e,i+n]];r.fillStyle==="solid"?a.push(ks(l,r)):a.push(Yt(l,r))}return r.stroke!==Q&&a.push(o),this._drawable("rectangle",a,r)}ellipse(e,i,s,n,h){const r=this._options(h),a=[],o=vs(s,n,r),l=Je(e,i,r,o);if(r.fill)if(r.fillStyle==="solid"){const c=Je(e,i,r,o).opset;c.type="fillPath",a.push(c)}else a.push(Yt(l.estimatedPoints,r));return r.stroke!==Q&&a.push(l.opset),this._drawable("ellipse",a,r)}circle(e,i,s,n){const h=this.ellipse(e,i,s,s,n);return h.shape="circle",h}linearPath(e,i){const s=this._options(i);return this._drawable("linearPath",[Ue(e,!1,s)],s)}arc(e,i,s,n,h,r,a=!1,o){const l=this._options(o),c=[],u=bs(e,i,s,n,h,r,a,!0,l);if(a&&l.fill)if(l.fillStyle==="solid"){const d=bs(e,i,s,n,h,r,!0,!1,l);d.type="fillPath",c.push(d)}else c.push(function(d,f,g,p,y,m,x){const k=d,M=f;let v=Math.abs(g/2),w=Math.abs(p/2);v+=b(.01*v,x),w+=b(.01*w,x);let C=y,z=m;for(;C<0;)C+=2*Math.PI,z+=2*Math.PI;z-C>2*Math.PI&&(C=0,z=2*Math.PI);const F=(z-C)/x.curveStepCount,W=[];for(let R=C;R<=z;R+=F)W.push([k+v*Math.cos(R),M+w*Math.sin(R)]);return W.push([k+v*Math.cos(z),M+w*Math.sin(z)]),W.push([k,M]),Yt(W,x)}(e,i,s,n,h,r,l));return l.stroke!==Q&&c.push(u),this._drawable("arc",c,l)}curve(e,i){const s=this._options(i);return this._drawable("curve",[qh(e,s)],s)}polygon(e,i){const s=this._options(i),n=[],h=Ue(e,!0,s);return s.fill&&(s.fillStyle==="solid"?n.push(ks(e,s)):n.push(Yt(e,s))),s.stroke!==Q&&n.push(h),this._drawable("polygon",n,s)}path(e,i){const s=this._options(i),n=[];if(!e)return this._drawable("path",n,s);const h=function(r,a){r=(r||"").replace(/\n/g," ").replace(/(-\s)/g,"-").replace("/(ss)/g"," ");let o=new As(r);if(a.simplification){const u=new Ih(o.linearPoints,o.closed).fit(a.simplification);o=new As(u)}let l=[];const c=o.segments||[];for(let u=0;u0?c[u-1]:null,a);d&&d.length&&(l=l.concat(d))}return{type:"path",ops:l}}(e,s);if(s.fill)if(s.fillStyle==="solid"){const r={type:"path2Dfill",path:e,ops:[]};n.push(r)}else{const r=this.computePathSize(e),a=Yt([[0,0],[r[0],0],[r[0],r[1]],[0,r[1]]],s);a.type="path2Dpattern",a.size=r,a.path=e,n.push(a)}return s.stroke!==Q&&n.push(h),this._drawable("path",n,s)}computePathSize(e){let i=[0,0];if(Hh&&self.document)try{const n=self.document.createElementNS(ht,"svg");n.setAttribute("width","0"),n.setAttribute("height","0");const h=self.document.createElementNS(ht,"path");h.setAttribute("d",e),n.appendChild(h),self.document.body.appendChild(n);const r=h.getBBox();r&&(i[0]=r.width||0,i[1]=r.height||0),self.document.body.removeChild(n)}catch{}const s=this.getCanvasSize();return i[0]*i[1]||(i=s),i}getCanvasSize(){const e=i=>i&&typeof i=="object"&&i.baseVal&&i.baseVal.value?i.baseVal.value:i||100;return this.surface?[e(this.surface.width),e(this.surface.height)]:[100,100]}opsToPath(e){let i="";for(const s of e.ops){const n=s.data;switch(s.op){case"move":i+=`M${n[0]} ${n[1]} `;break;case"bcurveTo":i+=`C${n[0]} ${n[1]}, ${n[2]} ${n[3]}, ${n[4]} ${n[5]} `;break;case"qcurveTo":i+=`Q${n[0]} ${n[1]}, ${n[2]} ${n[3]} `;break;case"lineTo":i+=`L${n[0]} ${n[1]} `}}return i.trim()}toPaths(e){const i=e.sets||[],s=e.options||this.defaultOptions,n=[];for(const h of i){let r=null;switch(h.type){case"path":r={d:this.opsToPath(h),stroke:s.stroke,strokeWidth:s.strokeWidth,fill:Q};break;case"fillPath":r={d:this.opsToPath(h),stroke:Q,strokeWidth:0,fill:s.fill||Q};break;case"fillSketch":r=this.fillSketch(h,s);break;case"path2Dfill":r={d:h.path||"",stroke:Q,strokeWidth:0,fill:s.fill||Q};break;case"path2Dpattern":{const a=h.size,o={x:0,y:0,width:1,height:1,viewBox:`0 0 ${Math.round(a[0])} ${Math.round(a[1])}`,patternUnits:"objectBoundingBox",path:this.fillSketch(h,s)};r={d:h.path,stroke:Q,strokeWidth:0,pattern:o};break}}r&&n.push(r)}return n}fillSketch(e,i){let s=i.fillWeight;return s<0&&(s=i.strokeWidth/2),{d:this.opsToPath(e),stroke:i.fill||Q,strokeWidth:s,fill:Q}}}const Kh=typeof document<"u";class Qh{constructor(e,i){this.svg=e,this.gen=new Xh(i,this.svg)}get defs(){const e=this.svg.ownerDocument||Kh&&document;if(e&&!this._defs){const i=e.createElementNS(ht,"defs");this.svg.firstChild?this.svg.insertBefore(i,this.svg.firstChild):this.svg.appendChild(i),this._defs=i}return this._defs||null}draw(e){const i=e.sets||[],s=e.options||this.getDefaultOptions(),n=this.svg.ownerDocument||window.document,h=n.createElementNS(ht,"g");for(const r of i){let a=null;switch(r.type){case"path":a=n.createElementNS(ht,"path"),a.setAttribute("d",this.opsToPath(r)),a.style.stroke=s.stroke,a.style.strokeWidth=s.strokeWidth+"",a.style.fill="none";break;case"fillPath":a=n.createElementNS(ht,"path"),a.setAttribute("d",this.opsToPath(r)),a.style.stroke="none",a.style.strokeWidth="0",a.style.fill=s.fill||"";break;case"fillSketch":a=this.fillSketch(n,r,s);break;case"path2Dfill":a=n.createElementNS(ht,"path"),a.setAttribute("d",r.path||""),a.style.stroke="none",a.style.strokeWidth="0",a.style.fill=s.fill||"";break;case"path2Dpattern":if(this.defs){const o=r.size,l=n.createElementNS(ht,"pattern"),c=`rough-${Math.floor(Math.random()*(Number.MAX_SAFE_INTEGER||999999))}`;l.setAttribute("id",c),l.setAttribute("x","0"),l.setAttribute("y","0"),l.setAttribute("width","1"),l.setAttribute("height","1"),l.setAttribute("height","1"),l.setAttribute("viewBox",`0 0 ${Math.round(o[0])} ${Math.round(o[1])}`),l.setAttribute("patternUnits","objectBoundingBox");const u=this.fillSketch(n,r,s);l.appendChild(u),this.defs.appendChild(l),a=n.createElementNS(ht,"path"),a.setAttribute("d",r.path||""),a.style.stroke="none",a.style.strokeWidth="0",a.style.fill=`url(#${c})`}else console.error("Pattern fill fail: No defs")}a&&h.appendChild(a)}return h}fillSketch(e,i,s){let n=s.fillWeight;n<0&&(n=s.strokeWidth/2);const h=e.createElementNS(ht,"path");return h.setAttribute("d",this.opsToPath(i)),h.style.stroke=s.fill||"",h.style.strokeWidth=n+"",h.style.fill="none",h}get generator(){return this.gen}getDefaultOptions(){return this.gen.defaultOptions}opsToPath(e){return this.gen.opsToPath(e)}line(e,i,s,n,h){const r=this.gen.line(e,i,s,n,h);return this.draw(r)}rectangle(e,i,s,n,h){const r=this.gen.rectangle(e,i,s,n,h);return this.draw(r)}ellipse(e,i,s,n,h){const r=this.gen.ellipse(e,i,s,n,h);return this.draw(r)}circle(e,i,s,n){const h=this.gen.circle(e,i,s,n);return this.draw(h)}linearPath(e,i){const s=this.gen.linearPath(e,i);return this.draw(s)}polygon(e,i){const s=this.gen.polygon(e,i);return this.draw(s)}arc(e,i,s,n,h,r,a=!1,o){const l=this.gen.arc(e,i,s,n,h,r,a,o);return this.draw(l)}curve(e,i){const s=this.gen.curve(e,i);return this.draw(s)}path(e,i){const s=this.gen.path(e,i);return this.draw(s)}}var I=(t,e)=>new Qh(t,e);const zs=t=>{t.append("defs").append("style").attr("type","text/css").text(`@font-face {
+ font-family: 'gaeguregular';
+ src: 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) 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) format('woff');
+ font-weight: normal;
+ font-style: normal;
+}`)},Ws=t=>{t.append("defs").append("style").attr("type","text/css").text(`@font-face {
+ font-family: 'indie_flowerregular';
+ src: 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) 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) format('woff');
+ font-weight: normal;
+ font-style: normal;
+ }`)};module.exports={addFontGaegu:zs,addFontIndieFlower:Ws};class ot{constructor(e){this.el=e.element,this.element=e.element,this.title=e.title,this.titleFontSize=e.titleFontSize||"17px",this.font=e.font||0,this.fillStyle=e.fillStyle,this.tooltipFontSize=e.tooltipFontSize||"0.95rem",this.bowing=e.bowing||0,this.simplification=e.simplification||.2,this.interactive=e.interactive!==!1,this.dataFormat=typeof e.data=="object"?"object":"file"}setSvg(){this.svg=A(this.el).append("svg").attr("viewBox",`0 0 ${this.width+this.margin.left+this.margin.right}
+ ${this.height+this.margin.top+this.margin.bottom}`).append("g").attr("id",this.roughId).attr("transform","translate("+this.margin.left+","+this.margin.top+")")}resolveFont(){this.font===0||this.font===void 0||this.font.toString().toLowerCase()==="gaegu"?(zs(this.svg),this.fontFamily="gaeguregular"):this.font===1||this.font.toString().toLowerCase()==="indie flower"?(Ws(this.svg),this.fontFamily="indie_flowerregular"):this.fontFamily=this.font}}const _=({roughness:t,ceiling:e=20,defaultValue:i=1})=>t===void 0||typeof t!="number"?i:t>e?e:t;module.exports={roughCeiling:_,DEFAULT_CEILING:20,DEFAULT_VALUE:1};var $e=Math.PI,ti=2*$e,xt=1e-6,Uh=ti-xt;function ei(){this._x0=this._y0=this._x1=this._y1=null,this._=""}function ii(){return new ei}function E(t){return function(){return t}}ei.prototype=ii.prototype={constructor:ei,moveTo:function(t,e){this._+="M"+(this._x0=this._x1=+t)+","+(this._y0=this._y1=+e)},closePath:function(){this._x1!==null&&(this._x1=this._x0,this._y1=this._y0,this._+="Z")},lineTo:function(t,e){this._+="L"+(this._x1=+t)+","+(this._y1=+e)},quadraticCurveTo:function(t,e,i,s){this._+="Q"+ +t+","+ +e+","+(this._x1=+i)+","+(this._y1=+s)},bezierCurveTo:function(t,e,i,s,n,h){this._+="C"+ +t+","+ +e+","+ +i+","+ +s+","+(this._x1=+n)+","+(this._y1=+h)},arcTo:function(t,e,i,s,n){t=+t,e=+e,i=+i,s=+s,n=+n;var h=this._x1,r=this._y1,a=i-t,o=s-e,l=h-t,c=r-e,u=l*l+c*c;if(n<0)throw new Error("negative radius: "+n);if(this._x1===null)this._+="M"+(this._x1=t)+","+(this._y1=e);else if(u>xt)if(Math.abs(c*a-o*l)>xt&&n){var d=i-h,f=s-r,g=a*a+o*o,p=d*d+f*f,y=Math.sqrt(g),m=Math.sqrt(u),x=n*Math.tan(($e-Math.acos((g+u-p)/(2*y*m)))/2),k=x/m,M=x/y;Math.abs(k-1)>xt&&(this._+="L"+(t+k*l)+","+(e+k*c)),this._+="A"+n+","+n+",0,0,"+ +(c*d>l*f)+","+(this._x1=t+M*a)+","+(this._y1=e+M*o)}else this._+="L"+(this._x1=t)+","+(this._y1=e)},arc:function(t,e,i,s,n,h){t=+t,e=+e,h=!!h;var r=(i=+i)*Math.cos(s),a=i*Math.sin(s),o=t+r,l=e+a,c=1^h,u=h?s-n:n-s;if(i<0)throw new Error("negative radius: "+i);this._x1===null?this._+="M"+o+","+l:(Math.abs(this._x1-o)>xt||Math.abs(this._y1-l)>xt)&&(this._+="L"+o+","+l),i&&(u<0&&(u=u%ti+ti),u>Uh?this._+="A"+i+","+i+",0,1,"+c+","+(t-r)+","+(e-a)+"A"+i+","+i+",0,1,"+c+","+(this._x1=o)+","+(this._y1=l):u>xt&&(this._+="A"+i+","+i+",0,"+ +(u>=$e)+","+c+","+(this._x1=t+i*Math.cos(n))+","+(this._y1=e+i*Math.sin(n))))},rect:function(t,e,i,s){this._+="M"+(this._x0=this._x1=+t)+","+(this._y0=this._y1=+e)+"h"+ +i+"v"+ +s+"h"+-i+"Z"},toString:function(){return this._}};var Fs=Math.abs,Z=Math.atan2,vt=Math.cos,Jh=Math.max,si=Math.min,rt=Math.sin,jt=Math.sqrt,N=1e-12,Vt=Math.PI,ue=Vt/2,de=2*Vt;function js(t){return t>=1?ue:t<=-1?-ue:Math.asin(t)}function _h(t){return t.innerRadius}function $h(t){return 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dt=["coral","skyblue","#66c2a5","tan","#8da0cb","#e78ac3","#a6d854","#ffd92f","coral","skyblue","tan","orange"];module.exports={colors:dt};const lt=(t,e,i,s,n)=>{t.svg.append("svg").attr("x",t.legendPosition==="left"?5:t.width-(i+2)).attr("y",0);const h=n===void 0?5-t.margin.left:n,r=t.rc.rectangle(t.legendPosition==="left"?h:t.width+t.margin.right-2-i,-t.margin.top/3,i,s,{fill:"white",fillWeight:.1,strokeWidth:.75,roughness:2}),a=t.roughSvg.appendChild(r),o="rough"+t.el.substring(1,t.el.length);a.setAttribute("class",o),e.forEach((l,c)=>{const u=A("."+o).append("g").attr("transform",`translate(
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+ 0)`);u.append("rect").style("fill",t.colors[c]).attr("width",20).attr("height",8).attr("x",t.legendPosition==="left"?h:t.margin.right+5).attr("y",6+11*c-t.margin.top/3),u.append("text").style("font-size",".8rem").style("font-family",t.fontFamily).attr("x",t.legendPosition==="left"?h+25:t.margin.right+30).attr("y",6+11*c+8-t.margin.top/3).text(l.text)})};module.exports={addLegend:lt};function Ns(t,e){var i,s=1;function n(){var h,r,a=i.length,o=0,l=0;for(h=0;h=(h=(p+m)/2))?p=h:m=h,(c=i>=(r=(y+x)/2))?y=r:x=r,n=f,!(f=f[u=c<<1|l]))return n[u]=g,t;if(a=+t._x.call(null,f.data),o=+t._y.call(null,f.data),e===a&&i===o)return g.next=f,n?n[u]=g:t._root=g,t;do n=n?n[u]=new Array(4):t._root=new Array(4),(l=e>=(h=(p+m)/2))?p=h:m=h,(c=i>=(r=(y+x)/2))?y=r:x=r;while((u=c<<1|l)==(d=(o>=r)<<1|a>=h));return n[d]=f,n[u]=g,t}function Y(t,e,i,s,n){this.node=t,this.x0=e,this.y0=i,this.x1=s,this.y1=n}function or(t){return t[0]}function lr(t){return t[1]}function Vs(t,e,i){var s=new ui(e??or,i??lr,NaN,NaN,NaN,NaN);return t==null?s:s.addAll(t)}function ui(t,e,i,s,n,h){this._x=t,this._y=e,this._x0=i,this._y0=s,this._x1=n,this._y1=h,this._root=void 0}function qs(t){for(var e={data:t.data},i=e;t=t.next;)i=i.next={data:t.data};return e}var V=Vs.prototype=ui.prototype;function qt(t){return function(){return t}}function Ae(t){return 1e-6*(t()-.5)}function cr(t){return t.x+t.vx}function ur(t){return t.y+t.vy}function Ds(t){var e,i,s,n=1,h=1;function r(){for(var l,c,u,d,f,g,p,y=e.length,m=0;md+W||wf+W||Cu.index){var R=d-z.x-z.vx,S=f-z.y-z.vy,j=R*R+S*S;jl.r&&(l.r=l[c].r)}function o(){if(e){var l,c,u=e.length;for(i=new Array(u),l=0;lc&&(c=s),nu&&(u=n));if(o>c||l>u)return this;for(this.cover(o,l).cover(c,u),i=0;it||t>=n||s>e||e>=h;)switch(a=(ed||(h=o.y0)>f||(r=o.x1)=m)<<1|t>=y)&&(o=g[g.length-1],g[g.length-1]=g[g.length-1-l],g[g.length-1-l]=o)}else{var 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t,e,i=ve,s=1/0;i;)i._call?(s>i._time&&(s=i._time),t=i,i=i._next):(e=i._next,i._next=null,i=t?t._next=e:ve=e);Dt=t,fi(s)}(),bt=0}}function mr(){var t=Kt.now(),e=t-be;e>Qs&&(ke-=e,be=t)}function fi(t){Ct||(Ht&&(Ht=clearTimeout(Ht)),t-bt>24?(t<1/0&&(Ht=setTimeout($s,t-Kt.now()-ke)),Xt&&(Xt=clearInterval(Xt))):(Xt||(be=Kt.now(),Xt=setInterval(mr,Qs)),Ct=1,Us($s)))}di.prototype=_s.prototype={constructor:di,restart:function(t,e,i){if(typeof t!="function")throw new TypeError("callback is not a function");i=(i==null?Js():+i)+(e==null?0:+e),this._next||Dt===this||(Dt?Dt._next=this:ve=this,Dt=this),this._call=t,this._time=i,fi()},stop:function(){this._call&&(this._call=null,this._time=1/0,fi())}};const yr=1664525,Ar=1013904223,tn=4294967296;var xr=Math.PI*(3-Math.sqrt(5));function en(t){var e,i=1,s=.001,n=1-Math.pow(s,1/300),h=0,r=.6,a=new Map,o=_s(u),l=Xs("tick","end"),c=function(){let p=1;return()=>(p=(yr*p+Ar)%tn)/tn}();function u(){d(),l.call("tick",e),i1?(y==null?a.delete(p):a.set(p,g(y)),e):a.get(p)},find:function(p,y,m){var x,k,M,v,w,C=0,z=t.length;for(m==null?m=1/0:m*=m,C=0;C1?(l.on(p,y),e):l.on(p)}}}const sn=["pink","skyblue","coral","gold","teal","grey","darkgreen","pink","brown","slateblue","grey1","orange"];module.exports={Bar:class extends ot{constructor(t){super(t),this.data=t.data,this.margin=t.margin||{top:20,right:10,bottom:20,left:20},this.color=t.color||"red",this.highlight=t.highlight||"coral",this.roughness=_({roughness:t.roughness}),this.stroke=t.stroke||"black",this.strokeWidth=t.strokeWidth||1,this.axisStrokeWidth=t.axisStrokeWidth||.5,this.axisRoughness=t.axisRoughness||.5,this.innerStrokeWidth=t.innerStrokeWidth||1,this.fillWeight=t.fillWeight||.5,this.axisFontSize=t.axisFontSize,this.labels=this.dataFormat==="object"?"labels":t.labels,this.values=this.dataFormat==="object"?"values":t.values,this.xValueFormat=t.xValueFormat,this.yValueFormat=t.yValueFormat,this.padding=t.padding||.1,this.xLabel=t.xLabel||"",this.yLabel=t.yLabel||"",this.labelFontSize=t.labelFontSize||"1rem",this.responsive=!0,this.boundRedraw=this.redraw.bind(this,t),this.initChartValues(t),this.resolveFont(),this.drawChart=this.resolveData(t.data),this.drawChart(),t.title!=="undefined"&&this.setTitle(t.title),window.addEventListener("resize",this.resizeHandler.bind(this))}resizeHandler(){this.responsive&&this.boundRedraw()}remove(){A(this.el).select("svg").remove(),A(this.el).select(".tooltip").remove()}redraw(t){this.remove(),this.initChartValues(t),this.resolveFont(),this.drawChart=this.resolveData(t.data),this.drawChart(),t.title!=="undefined"&&this.setTitle(t.title)}initChartValues(t){this.roughness=t.roughness||this.roughness,this.color=t.color||this.color,this.stroke=t.stroke||this.stroke,this.strokeWidth=t.strokeWidth||this.strokeWidth,this.axisStrokeWidth=t.axisStrokeWidth||this.axisStrokeWidth,this.axisRoughness=t.axisRoughness||this.axisRoughness,this.innerStrokeWidth=t.innerStrokeWidth||this.innerStrokeWidth,this.fillWeight=t.fillWeight||this.fillWeight,this.fillStyle=t.fillStyle||this.fillStyle,this.title=t.title||this.title;const e=A(this.el).node().getBoundingClientRect(),i=e.width,s=e.height;this.width=i-this.margin.left-this.margin.right,this.height=s-this.margin.top-this.margin.bottom,this.roughId=this.el+"_svg",this.graphClass=this.el.substring(1,this.el.length),this.interactionG="g."+this.graphClass,this.setSvg()}resolveData(t){return typeof t!="string"?()=>{this.data=t,this.drawFromObject()}:t.includes(".csv")?()=>{gt(t).then(e=>{this.data=e,this.drawFromFile()})}:t.includes(".tsv")?()=>{pt(t).then(e=>{this.data=e,this.drawFromFile()})}:void 0}addScales(){const t=this;this.xScale=Tt().rangeRound([0,this.width]).padding(this.padding).domain(this.dataFormat==="file"?this.data.map(e=>e[t.labels]):this.data[t.labels]),this.yScale=B().rangeRound([this.height,0]).domain(this.dataFormat==="file"?[0,U(this.data,e=>+e[t.values])]:[0,U(this.data[t.values])])}addLabels(){this.xLabel!==""&&this.svg.append("text").attr("x",this.width/2).attr("y",this.height+this.margin.bottom/2).attr("dx","1em").attr("class","labelText").style("text-anchor","middle").style("font-family",this.fontFamily).style("font-size",this.labelFontSize).text(this.xLabel),this.yLabel!==""&&this.svg.append("text").attr("transform","rotate(-90)").attr("y",0-this.margin.left/1.4).attr("x",0-this.height/2).attr("dy","1em").attr("class","labelText").style("text-anchor","middle").style("font-family",this.fontFamily).style("font-size",this.labelFontSize).text(this.yLabel)}addAxes(){const t=It(this.xScale).tickSize(0).tickFormat(i=>this.xValueFormat?it(this.xValueFormat)(i):i),e=Lt(this.yScale).tickSize(0).tickFormat(i=>this.yValueFormat?it(this.yValueFormat)(i):i);this.svg.append("g").attr("transform","translate(0,"+this.height+")").call(t).attr("class",`xAxis${this.graphClass}`).selectAll("text").attr("transform","translate(-10,0)rotate(-45)").style("text-anchor","end").style("font-family",this.fontFamily).style("font-size",this.axisFontSize===void 0?`${Math.min(.8,Math.min(this.width,this.height)/140)}rem`:this.axisFontSize).style("opacity",.9),this.svg.append("g").call(e).attr("class",`yAxis${this.graphClass}`).selectAll("text").style("font-family",this.fontFamily).style("font-size",this.axisFontSize===void 0?`${Math.min(.95,Math.min(this.width,this.height)/140)}rem`:this.axisFontSize).style("opacity",.9),P("path.domain").attr("stroke","transparent")}makeAxesRough(t,e){const i=`xAxis${this.graphClass}`,s=`yAxis${this.graphClass}`,n=`rough-${i}`,h=`rough-${s}`;A(`.${i}`).selectAll("path.domain").each(function(r,a){const o=A(this).node().getAttribute("d"),l=e.path(o,{fillStyle:"hachure"});l.setAttribute("class",n),t.appendChild(l)}),P(`.${n}`).attr("transform",`translate(0, ${this.height})`),A(`.${s}`).selectAll("path.domain").each(function(r,a){const o=A(this).node().getAttribute("d"),l=e.path(o,{fillStyle:"hachure"});l.setAttribute("class",h),t.appendChild(l)})}setTitle(t){this.svg.append("text").attr("x",this.width/2).attr("y",0-this.margin.top/2).attr("class","title").attr("text-anchor","middle").style("font-size",this.titleFontSize===void 0?`${Math.min(40,Math.min(this.width,this.height)/5)}px`:this.titleFontSize).style("font-family",this.fontFamily).style("opacity",.8).text(t)}addInteraction(){P(this.interactionG).data(this.dataFormat==="file"?this.data:this.data.values).append("rect").attr("x",(i,s)=>this.dataFormat==="file"?this.xScale(i[this.labels]):this.xScale(this.data[this.labels][s])).attr("y",(i,s)=>this.dataFormat==="file"?this.yScale(+i[this.values]):this.yScale(this.data[this.values][s])).attr("width",this.xScale.bandwidth()).attr("height",(i,s)=>this.dataFormat==="file"?this.height-this.yScale(+i[this.values]):this.height-this.yScale(this.data[this.values][s])).attr("fill","transparent");const t=A(this.el).append("div").style("opacity",0).attr("class","tooltip").style("position","absolute").style("background-color","white").style("border","solid").style("border-width","1px").style("border-radius","5px").style("padding","3px").style("font-family",this.fontFamily).style("font-size",this.tooltipFontSize).style("pointer-events","none"),e=this;P(this.interactionG).on("mouseover",function(){t.style("opacity",1),A(this).select("path").style("stroke",e.highlight),A(this).selectAll("path:nth-child(2)").style("stroke-width",e.strokeWidth+1.2)}),P(this.interactionG).on("mouseout",function(){t.style("opacity",0),A(this).select("path").style("stroke",e.color),A(this).selectAll("path:nth-child(2)").style("stroke-width",e.strokeWidth)}),P(this.interactionG).on("mousemove",function(i){const s=A(this).attr("attrX"),n=A(this).attr("attrY"),h=At(this);console.log("mousePos bar",h),t.html(`${s}: ${n}`).style("opacity",.95).attr("class",function(r){}).style("transform",`translate(${h[0]+e.margin.left}px,
+ ${h[1]-(e.height+e.margin.top+e.margin.bottom/2)}px)`)})}initRoughObjects(){this.roughSvg=document.getElementById(this.roughId),this.rcAxis=I(this.roughSvg,{options:{strokeWidth:this.axisStrokeWidth,roughness:this.axisRoughness}}),this.rc=I(this.roughSvg,{options:{fill:this.color,stroke:this.stroke==="none"?void 0:this.stroke,strokeWidth:this.innerStrokeWidth,roughness:this.roughness,bowing:this.bowing,fillStyle:this.fillStyle}})}drawFromObject(){this.initRoughObjects(),this.addScales(),this.addAxes(),this.makeAxesRough(this.roughSvg,this.rcAxis),this.addLabels(),this.data.values.forEach((t,e)=>{const i=this.rc.rectangle(this.xScale(this.data[this.labels][e]),this.yScale(+t),this.xScale.bandwidth(),this.height-this.yScale(+t),{simplification:this.simplification,fillWeight:this.fillWeight}),s=this.roughSvg.appendChild(i);s.setAttribute("class",this.graphClass),s.setAttribute("attrX",this.data[this.labels][e]),s.setAttribute("attrY",+t)}),P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width",this.strokeWidth),this.interactive===!0&&this.addInteraction()}drawFromFile(){this.initRoughObjects(),this.addScales(),this.addAxes(),this.makeAxesRough(this.roughSvg,this.rcAxis),this.addLabels(),this.data.forEach(t=>{const e=this.rc.rectangle(this.xScale(t[this.labels]),this.yScale(+t[this.values]),this.xScale.bandwidth(),this.height-this.yScale(+t[this.values]),{simplification:this.simplification,fillWeight:this.fillWeight}),i=this.roughSvg.appendChild(e);i.setAttribute("class",this.graphClass),i.setAttribute("attrX",t[this.labels]),i.setAttribute("attrY",+t[this.values])}),P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width",this.strokeWidth),this.interactive===!0&&this.addInteraction()}},BarH:class extends ot{constructor(t){super(t),this.margin=t.margin||{top:50,right:20,bottom:50,left:100},this.color=t.color||"red",this.highlight=t.highlight||"coral",this.roughness=_({roughness:t.roughness}),this.stroke=t.stroke||"black",this.strokeWidth=t.strokeWidth||1,this.axisStrokeWidth=t.axisStrokeWidth||.5,this.axisRoughness=t.axisRoughness||.5,this.innerStrokeWidth=t.innerStrokeWidth||1,this.fillWeight=t.fillWeight||.5,this.axisFontSize=t.axisFontSize,this.labels=this.dataFormat==="object"?"labels":t.labels,this.values=this.dataFormat==="object"?"values":t.values,this.xValueFormat=t.xValueFormat,this.yValueFormat=t.yValueFormat,this.padding=t.padding||.1,this.xLabel=t.xLabel||"",this.yLabel=t.yLabel||"",this.labelFontSize=t.labelFontSize||"1rem",this.responsive=!0,this.boundRedraw=this.redraw.bind(this,t),this.initChartValues(t),this.resolveFont(),this.drawChart=this.resolveData(t.data),this.drawChart(),t.title!=="undefined"&&this.setTitle(t.title),window.addEventListener("resize",this.resizeHandler.bind(this))}resizeHandler(){this.responsive&&this.boundRedraw()}remove(){A(this.el).select("svg").remove()}redraw(t){this.remove(),this.initChartValues(t),this.resolveFont(),this.drawChart=this.resolveData(t.data),this.drawChart(),t.title!=="undefined"&&this.setTitle(t.title)}initChartValues(t){this.roughness=t.roughness||this.roughness,this.stroke=t.stroke||this.stroke,this.color=t.color||this.color,this.strokeWidth=t.strokeWidth||this.strokeWidth,this.axisStrokeWidth=t.axisStrokeWidth||this.axisStrokeWidth,this.axisRoughness=t.axisRoughness||this.axisRoughness,this.innerStrokeWidth=t.innerStrokeWidth||this.innerStrokeWidth,this.fillWeight=t.fillWeight||this.fillWeight,this.fillStyle=t.fillStyle||this.fillStyle;const e=A(this.el).node().getBoundingClientRect(),i=e.width,s=e.height;this.width=i-this.margin.left-this.margin.right,this.height=s-this.margin.top-this.margin.bottom,this.roughId=this.el+"_svg",this.graphClass=this.el.substring(1,this.el.length),this.interactionG="g."+this.graphClass,this.setSvg()}resolveData(t){return typeof t!="string"?()=>{this.data=t,this.drawFromObject()}:t.includes(".csv")?()=>{gt(t).then(e=>{console.log(e),this.data=e,this.drawFromFile()})}:t.includes(".tsv")?()=>{pt(t).then(e=>{this.data=e,this.drawFromFile()})}:void 0}addScales(){const t=this;this.yScale=Tt().rangeRound([0,this.height]).padding(this.padding).domain(this.dataFormat==="file"?this.data.map(e=>e[t.labels]):this.data[t.labels]),this.xScale=B().rangeRound([0,this.width]).domain(this.dataFormat==="file"?[0,U(this.data,e=>+e[t.values])]:[0,U(this.data[t.values])])}addLabels(){this.xLabel!==""&&this.svg.append("text").attr("x",this.width/2).attr("y",this.height+this.margin.bottom/2.4).attr("dx","1em").attr("class","labelText").style("text-anchor","middle").style("font-family",this.fontFamily).style("font-size",this.labelFontSize).text(this.xLabel),this.yLabel!==""&&this.svg.append("text").attr("transform","rotate(-90)").attr("y",0-this.margin.left/1.5).attr("x",0-this.height/2).attr("dy","1em").attr("class","labelText").style("text-anchor","middle").style("font-family",this.fontFamily).style("font-size",this.labelFontSize).text(this.yLabel)}addAxes(){const t=It(this.xScale).tickSize(0).tickFormat(i=>this.xValueFormat?it(this.xValueFormat)(i):i),e=Lt(this.yScale).tickSize(0).tickFormat(i=>this.yValueFormat?it(this.yValueFormat)(i):i);this.svg.append("g").attr("transform",`translate(0, ${this.height})`).call(t).attr("class",`xAxis${this.graphClass}`).selectAll("text").attr("transform","translate(-10,0)rotate(-45)").style("text-anchor","end").style("font-family",this.fontFamily).style("font-size",this.axisFontSize===void 0?`${Math.min(.95,Math.min(this.width,this.height)/140)}rem`:this.axisFontSize).style("opacity",.85),this.svg.append("g").call(e).attr("class",`yAxis${this.graphClass}`).selectAll("text").style("font-family",this.fontFamily).style("font-size",this.axisFontSize===void 0?`${Math.min(.95,Math.min(this.width,this.height)/140)}rem`:this.axisFontSize).style("opacity",.85),P("path.domain").attr("stroke","transparent")}makeAxesRough(t,e){const i=`xAxis${this.graphClass}`,s=`yAxis${this.graphClass}`,n=`rough-${i}`,h=`rough-${s}`;A(`.${i}`).selectAll("path.domain").each(function(r,a){const o=A(this).node().getAttribute("d"),l=e.path(o,{stroke:"black",fillStyle:"hachure"});l.setAttribute("class",n),t.appendChild(l)}),P(`.${n}`).attr("transform",`translate(0, ${this.height})`),A(`.${s}`).selectAll("path.domain").each(function(r,a){const o=A(this).node().getAttribute("d"),l=e.path(o,{stroke:"black",fillStyle:"hachure"});l.setAttribute("class",h),t.appendChild(l)})}setTitle(t){this.svg.append("text").attr("x",this.width/2).attr("y",0-this.margin.top/2).attr("class","title").attr("text-anchor","middle").style("font-size",this.titleFontSize===void 0?`${Math.min(40,Math.min(this.width,this.height)/5)}px`:this.titleFontSize).style("font-family",this.fontFamily).style("opacity",.8).text(t)}addInteraction(){P(this.interactionG).data(this.dataFormat==="file"?this.data:this.data.values).append("rect").attr("x",0).attr("y",(i,s)=>this.dataFormat==="file"?this.yScale(i[this.labels]):this.yScale(this.data[this.labels][s])).attr("width",(i,s)=>this.dataFormat==="file"?this.xScale(+i[this.values]):this.xScale(this.data[this.values][s])).attr("height",this.yScale.bandwidth()).attr("fill","transparent");const t=A(this.el).append("div").style("opacity",0).attr("class","tooltip").style("position","absolute").style("background-color","white").style("border","solid").style("border-width","1px").style("border-radius","5px").style("padding","3px").style("font-family",this.fontFamily).style("font-size",this.tooltipFontSize).style("pointer-events","none"),e=this;P(this.interactionG).on("mouseover",function(){t.style("opacity",1),A(this).select("path").style("stroke",e.highlight),A(this).selectAll("path:nth-child(2)").style("stroke-width",e.strokeWidth+1.2)}),P(this.interactionG).on("mouseout",function(){t.style("opacity",0),A(this).select("path").style("stroke",e.color),A(this).selectAll("path:nth-child(2)").style("stroke-width",e.strokeWidth)}),P(this.interactionG).on("mousemove",function(i){const s=A(this).attr("attrX"),n=A(this).attr("attrY"),h=At(this);t.html(`${s}: ${n}`).style("opacity",.95).attr("class",function(r){}).style("transform",`translate(${h[0]+e.margin.left}px,
+ ${h[1]-(e.height+e.margin.top+e.margin.bottom/2)}px)`)})}initRoughObjects(){this.roughSvg=document.getElementById(this.roughId),this.rcAxis=I(this.roughSvg,{options:{strokeWidth:this.axisStrokeWidth,roughness:this.axisRoughness}}),this.rc=I(this.roughSvg,{options:{fill:this.color,stroke:this.stroke==="none"?void 0:this.stroke,strokeWidth:this.innerStrokeWidth,roughness:this.roughness,bowing:this.bowing,fillStyle:this.fillStyle}})}drawFromObject(){this.initRoughObjects(),this.addScales(),this.addAxes(),this.makeAxesRough(this.roughSvg,this.rcAxis),this.addLabels(),this.data.values.forEach((t,e)=>{const i=this.rc.rectangle(0,this.yScale(this.data[this.labels][e]),this.xScale(t),this.yScale.bandwidth(),{simplification:this.simplification,fillWeight:this.fillWeight}),s=this.roughSvg.appendChild(i);s.setAttribute("class",this.graphClass),s.setAttribute("attrX",this.data[this.labels][e]),s.setAttribute("attrY",+t)}),P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width",this.strokeWidth),this.interactive===!0&&this.addInteraction()}drawFromFile(){this.initRoughObjects(),this.addScales(),this.addAxes(),this.makeAxesRough(this.roughSvg,this.rcAxis),this.addLabels(),this.data.forEach(t=>{const e=this.rc.rectangle(0,this.yScale(t[this.labels]),this.xScale(+t[this.values]),this.yScale.bandwidth(),{simplification:this.simplification,fillWeight:this.fillWeight}),i=this.roughSvg.appendChild(e);i.setAttribute("class",this.graphClass),i.setAttribute("attrX",t[this.labels]),i.setAttribute("attrY",+t[this.values])}),P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width",this.strokeWidth),this.interactive===!0&&this.addInteraction()}},Donut:class extends ot{constructor(t){super(t),this.margin=t.margin||{top:50,right:20,bottom:10,left:20},this.colors=t.colors||dt,this.highlight=t.highlight,this.roughness=_({roughness:t.roughness,ceiling:30}),this.strokeWidth=t.strokeWidth||.75,this.innerStrokeWidth=t.innerStrokeWidth||.75,this.fillWeight=t.fillWeight||.85,this.labels=this.dataFormat==="object"?"labels":t.labels,this.values=this.dataFormat==="object"?"values":t.values,this.labels!==void 0&&this.values!==void 0?(this.legend=t.legend!==!1,this.legendPosition=t.legendPosition||"right",this.responsive=!0,this.boundRedraw=this.redraw.bind(this,t),this.initChartValues(t),this.resolveFont(),this.drawChart=this.resolveData(t.data),this.drawChart(),t.title!=="undefined"&&this.setTitle(t.title),window.addEventListener("resize",this.resizeHandler.bind(this))):console.log(`Error for ${this.el}: Must include labels and values when instantiating Donut chart. Skipping chart.`)}resizeHandler(){this.responsive&&this.boundRedraw()}remove(){A(this.el).select("svg").remove()}redraw(t){this.remove(),this.initChartValues(t),this.resolveFont(),this.drawChart=this.resolveData(t.data),this.drawChart(),t.title!=="undefined"&&this.setTitle(t.title)}initChartValues(t){this.roughness=t.roughness||this.roughness,this.stroke=t.stroke||this.stroke,this.strokeWidth=t.strokeWidth||this.strokeWidth,this.axisStrokeWidth=t.axisStrokeWidth||this.axisStrokeWidth,this.axisRoughness=t.axisRoughness||this.axisRoughness,this.innerStrokeWidth=t.innerStrokeWidth||this.innerStrokeWidth,this.fillWeight=t.fillWeight||this.fillWeight,this.fillStyle=t.fillStyle||this.fillStyle;const e=A(this.el).node().getBoundingClientRect(),i=e.width,s=e.height;this.width=i-this.margin.left-this.margin.right,this.height=s-this.margin.top-this.margin.bottom,this.roughId=this.el+"_svg",this.graphClass=this.el.substring(1,this.el.length),this.interactionG="g."+this.graphClass,this.radius=Math.min(this.width,this.height)/2,this.setSvg()}resolveData(t){return typeof t!="string"?()=>{this.data=t,this.drawFromObject()}:t.includes(".csv")?()=>{gt(t).then(e=>{this.data=e,this.drawFromFile()})}:t.includes(".tsv")?()=>{pt(t).then(e=>{this.data=e,this.drawFromFile()})}:t.includes(".json")?()=>{Ri(t).then(e=>{this.data=e,this.drawFromFile()})}:void 0}setTitle(t){this.svg.append("text").attr("x",this.width/2).attr("y",0-this.margin.top/3).attr("class","title").attr("text-anchor","middle").style("font-size",this.titleFontSize===void 0?`${Math.min(40,Math.min(this.width,this.height)/4)}px`:this.titleFontSize).style("font-family",this.fontFamily).style("opacity",.8).text(t)}addInteraction(){P(this.interactionG).append("g").attr("transform",`translate(${this.width/2}, ${this.height/2})`).data(this.dataFormat==="object"?this.makePie(this.data[this.values]):this.makePie(this.data)).append("path").attr("d",this.makeArc).attr("stroke-width","0px").attr("fill","transparent");const t=A(this.el).append("div").style("opacity",0).attr("class","tooltip").style("position","absolute").style("background-color","white").style("border","solid").style("border-width","1px").style("border-radius","5px").style("padding","3px").style("font-family",this.fontFamily).style("font-size",this.tooltipFontSize).style("pointer-events","none"),e=this;let i;P(this.interactionG).on("mouseover",function(){t.style("opacity",1),i=A(this).selectAll("path").style("stroke"),e.highlight===void 0?A(this).selectAll("path").style("opacity",.5):A(this).selectAll("path").style("stroke",e.highlight)}),P(this.interactionG).on("mouseout",function(){t.style("opacity",0),A(this).selectAll("path").style("stroke",i),A(this).selectAll("path").style("opacity",1)}),P(this.interactionG).on("mousemove",function(s){const n=A(this).attr("attrX"),h=A(this).attr("attrY"),r=At(this);t.html(`${n}: ${h}`).style("opacity",.95).attr("class",function(a){}).style("transform",`translate(${r[0]+e.margin.left}px,
+ ${r[1]-e.height-e.margin.bottom}px)`)})}initRoughObjects(){this.roughSvg=document.getElementById(this.roughId),this.rcAxis=I(this.roughSvg,{options:{strokeWidth:this.strokeWidth>=3?3:this.strokeWidth}}),this.rc=I(this.roughSvg,{options:{fill:this.color,strokeWidth:this.innerStrokeWidth,roughness:this.roughness,bowing:this.bowing,fillStyle:this.fillStyle,fillWeight:this.fillWeight}})}drawFromObject(){this.initRoughObjects(),this.makePie=pe(),this.makeArc=ge().innerRadius(0).outerRadius(this.radius),this.arcs=this.makePie(this.data[this.values]),this.arcs.forEach((n,h)=>{if(n.value!==0){const r=this.rc.arc(this.width/2,this.height/2,2*this.radius,2*this.radius,n.startAngle-Math.PI/2,n.endAngle-Math.PI/2,!0,{fill:this.colors[h],stroke:this.colors[h]});r.setAttribute("class",this.graphClass);const a=this.roughSvg.appendChild(r);a.setAttribute("attrY",this.data[this.values][h]),a.setAttribute("attrX",this.data[this.labels][h])}});const t=this.rc.circle(this.width/2,this.height/2,this.radius,{fill:"white",strokeWidth:.05,fillWeight:10,fillStyle:"solid"});this.roughSvg.appendChild(t),P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width",this.strokeWidth);const e=this.data.labels.map((n,h)=>({color:this.colors[h],text:n})),i=6*e.reduce((n,h)=>n>h.text.length?n:h.text.length,0)+35,s=11*e.length+8;this.legend===!0&<(this,e,i,s),this.interactive===!0&&this.addInteraction()}drawFromFile(){this.initRoughObjects(),this.makePie=pe().value(h=>h[this.values]).sort(null);const t=[];this.makeArc=ge().innerRadius(0).outerRadius(this.radius),this.arcs=this.makePie(this.data),this.arcs.forEach((h,r)=>{if(h.value!==0){const a=this.rc.arc(this.width/2,this.height/2,2*this.radius,2*this.radius,h.startAngle-Math.PI/2,h.endAngle-Math.PI/2,!0,{fill:this.colors[r],stroke:this.colors[r]});a.setAttribute("class",this.graphClass);const o=this.roughSvg.appendChild(a);o.setAttribute("attrY",h.data[this.values]),o.setAttribute("attrX",h.data[this.labels])}t.push(h.data[this.labels])});const e=this.rc.circle(this.width/2,this.height/2,this.radius,{fill:"white",strokeWidth:.05,fillWeight:10,fillStyle:"solid"});this.roughSvg.appendChild(e),P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width",this.strokeWidth);const i=t.map((h,r)=>({color:this.colors[r],text:h})),s=6*i.reduce((h,r)=>h>r.text.length?h:r.text.length,0)+35,n=11*i.length+8;this.legend===!0&<(this,i,s,n),this.interactive===!0&&this.addInteraction()}},Line:class extends ot{constructor(t){super(t),this.margin=t.margin||{top:50,right:20,bottom:50,left:100},this.roughness=_({roughness:t.roughness,defaultValue:2.2}),this.axisStrokeWidth=t.axisStrokeWidth||.5,this.axisRoughness=t.axisRoughness||.5,this.stroke=t.stroke||"black",this.fillWeight=t.fillWeight||.5,this.colors=t.colors,this.strokeWidth=t.strokeWidth||1,this.axisFontSize=t.axisFontSize,this.x=t.x,this.y=this.dataFormat==="object"?"y":t.y,this.xValueFormat=t.xValueFormat,this.yValueFormat=t.yValueFormat,this.legend=t.legend!==!1,this.legendPosition=t.legendPosition||"right",this.circle=t.circle!==!1,this.circleRadius=t.circleRadius||10,this.circleRoughness=_({roughness:t.circleRoughness,defaultValue:2}),this.xLabel=t.xLabel||"",this.yLabel=t.yLabel||"",this.labelFontSize=t.labelFontSize||"1rem",this.dataFormat==="file"&&(this.dataSources=[],this.yKeys=Object.keys(t).filter(e=>/y/.test(e)),this.yKeys.map((e,i)=>{e!=="yLabel"&&this.dataSources.push(t[e])})),this.responsive=!0,this.boundRedraw=this.redraw.bind(this,t),this.initChartValues(t),this.resolveFont(),this.drawChart=this.resolveData(t.data),this.drawChart(),t.title!=="undefined"&&this.setTitle(t.title),window.addEventListener("resize",this.resizeHandler.bind(this))}resizeHandler(){this.responsive&&this.boundRedraw()}remove(){A(this.el).select("svg").remove()}redraw(t){this.remove(),this.initChartValues(t),this.resolveFont(),this.drawChart=this.resolveData(t.data),this.drawChart(),t.title!=="undefined"&&this.setTitle(t.title)}initChartValues(t){this.roughness=t.roughness||this.roughness,this.stroke=t.stroke||this.stroke,this.strokeWidth=t.strokeWidth||this.strokeWidth,this.axisStrokeWidth=t.axisStrokeWidth||this.axisStrokeWidth,this.axisRoughness=t.axisRoughness||this.axisRoughness,this.innerStrokeWidth=t.innerStrokeWidth||this.innerStrokeWidth,this.fillWeight=t.fillWeight||this.fillWeight,this.fillStyle=t.fillStyle||this.fillStyle;const e=A(this.el).node().getBoundingClientRect(),i=e.width,s=e.height;this.width=i-this.margin.left-this.margin.right,this.height=s-this.margin.top-this.margin.bottom,this.roughId=this.el+"_svg",this.graphClass=this.el.substring(1,this.el.length),this.interactionG="g."+this.graphClass,this.setSvg()}resolveData(t){return typeof t!="string"?()=>{this.data=t,this.drawFromObject()}:t.includes(".csv")?()=>{gt(t).then(e=>{this.data=e,this.drawFromFile()})}:t.includes(".tsv")?()=>{pt(t).then(e=>{this.data=e,this.drawFromFile()})}:void 0}addScales(){let t,e;if(this.dataFormat!=="file")t=(n=>{const h=Object.keys(n).map(o=>at(n[o])),r=wt(h,o=>o[0]),a=U(h,o=>o[1]);return[r,a]})(this.data);else{const n=this.dataSources.map(a=>at(this.data,o=>+o[a])),h=wt(n,a=>a[0]),r=U(n,a=>a[1]);t=[h,r]}if(this.x===void 0){const n=U(Object.keys(this.data).map(h=>this.data[h].length));e=this.dataFormat==="file"?[0,this.data.length]:[0,n]}else e=at(this.x);const i=t,s=i[1]-i[0];this.xScale=this.x===void 0?Li().range([0,this.width]).domain([...Array(e[1]).keys()]):Li().range([0,this.width]).domain(this.x),this.yScale=B().range([this.height,0]).domain([0,i[1]+.05*s])}addLabels(){this.xLabel!==""&&this.svg.append("text").attr("x",this.width/2).attr("y",this.height+this.margin.bottom/1.3).attr("dx","1em").attr("class","labelText").style("text-anchor","middle").style("font-family",this.fontFamily).style("font-size",this.labelFontSize).text(this.xLabel),this.yLabel!==""&&this.svg.append("text").attr("transform","rotate(-90)").attr("y",0-this.margin.left/2).attr("x",0-this.height/2).attr("dy","1em").attr("class","labelText").style("text-anchor","middle").style("font-family",this.fontFamily).style("font-size",this.labelFontSize).text(this.yLabel)}addAxes(){const t=It(this.xScale).tickSize(0).tickFormat(i=>this.xValueFormat?it(this.xValueFormat)(i):i),e=Lt(this.yScale).tickSize(0).tickFormat(i=>this.yValueFormat?it(this.yValueFormat)(i):i);this.svg.append("g").attr("transform","translate(0,"+this.height+")").call(t).attr("class",`xAxis${this.graphClass}`).selectAll("text").attr("transform","translate(-10, 0)rotate(-45)").style("text-anchor","end").style("font-family",this.fontFamily).style("font-size",this.axisFontSize===void 0?`${Math.min(.95,Math.min(this.width,this.height)/140)}rem`:this.axisFontSize),this.svg.append("g").call(e).attr("class",`yAxis${this.graphClass}`).selectAll("text").style("font-family",this.fontFamily).style("font-size",this.axisFontSize===void 0?`${Math.min(.95,Math.min(this.width,this.height)/140)}rem`:this.axisFontSize),P("path.domain").attr("stroke","transparent"),P("g.tick").style("opacity",1)}makeAxesRough(t,e){const i=`xAxis${this.graphClass}`,s=`yAxis${this.graphClass}`,n=`rough-${i}`,h=`rough-${s}`;A(`.${i}`).selectAll("path.domain").each(function(r,a){const o=A(this).node().getAttribute("d"),l=e.path(o,{stroke:"black",fillStyle:"hachure"});l.setAttribute("class",n),t.appendChild(l)}),P(`.${n}`).attr("transform",`translate(0, ${this.height})`),A(`.${s}`).selectAll("path.domain").each(function(r,a){const o=A(this).node().getAttribute("d"),l=e.path(o,{stroke:"black",fillStyle:"hachure"});l.setAttribute("class",h),t.appendChild(l)})}setTitle(t){this.svg.append("text").attr("x",this.width/2).attr("y",0-this.margin.top/2).attr("text-anchor","middle").style("font-size",this.titleFontSize===void 0?`${Math.min(20,Math.min(this.width,this.height)/4)}px`:this.titleFontSize).style("font-family",this.fontFamily).style("opacity",.8).text(t)}addInteraction(){const t=this;this.chartScreen=this.svg.append("g").attr("pointer-events","all"),this.dataSources.map((e,i)=>{const s=(this.dataFormat==="file"?this.data:this.data[e]).map((a,o)=>this.x===void 0?[this.xScale(o),this.yScale(a[e])]:[this.xScale(this.x[o]),this.yScale(+a[e])]),n=s.filter(a=>a[0]!==void 0),h=function(){var a=nr,o=hr,l=E(!0),c=null,u=sr,d=null;function f(g){var p,y,m,x=g.length,k=!1;for(c==null&&(d=u(m=ii())),p=0;p<=x;++p)!(pa[0]).y(a=>a[1]);this.svg.append("path").datum(n).attr("fill","none").attr("stroke","blue").attr("stroke-width",1.5).attr("d",h).attr("visibility","hidden");const r=e+"class";this.svg.append("g").attr("class",r+"text").append("text").style("font-size",this.tooltipFontSize).style("opacity",0).style("font-family",this.fontFamily).attr("text-anchor","middle").attr("alignment-baseline","middle")}),this.chartScreen.append("rect").attr("width",this.width).attr("height",this.height).attr("fill","none").on("mousemove",function(e){const i=At(this)[0],s=t.xScale.domain(),n=t.xScale.range(),h=xi(n[0],n[1]+1,t.xScale.step()),r=Ai(h,i),a=s[r];t.dataSources.map((o,l)=>{const c=t.dataFormat==="file"?t.x===void 0?t.data[a]:t.data[r]:t.data[o][r],u="."+o+"classtext";t.dataFormat==="file"?A(u).selectAll("text").style("opacity",1).html(t.x===void 0?`(${r},${c[o]})`:`(${t.x[r]}, ${c[o]})`).attr("x",t.x===void 0?t.xScale(r):t.xScale(t.x[r])).attr("y",t.yScale(c[o])-6):A(u).selectAll("text").style("opacity",1).html(t.x===void 0?`(${r}, ${c})`:`(${t.x[r]}, ${c})`).attr("x",t.x===void 0?t.xScale(r):t.xScale(t.x[r])).attr("y",t.yScale(c))})}).on("mouseout",()=>{t.dataSources.map(e=>{A("."+e+"classtext").selectAll("text").style("opacity",0)})})}initRoughObjects(){this.roughSvg=document.getElementById(this.roughId),this.rcAxis=I(this.roughSvg,{options:{strokeWidth:this.axisStrokeWidth,roughness:this.axisRoughness}}),this.rc=I(this.roughSvg,{options:{stroke:this.stroke==="none"?void 0:this.stroke,strokeWidth:this.strokeWidth,roughness:this.roughness,bowing:this.bowing,fillStyle:this.fillStyle}})}drawFromObject(){const t=this;this.colors===void 0&&(this.colors=dt),this.dataSources=Object.keys(this.data),this.initRoughObjects(),this.addScales(),this.dataSources.map((n,h)=>{const r=this.data[n].map((l,c)=>this.x===void 0?[this.xScale(c),this.yScale(+l)]:[this.xScale(this.x[c]),this.yScale(l)]),a=r.filter(l=>l[0]!==void 0);console.log("roughness",t.roughness);const o=this.rc.curve(a,{stroke:t.colors.length===1?t.colors[0]:t.colors[h],roughness:t.roughness,bowing:t.bowing});this.roughSvg.appendChild(o).setAttribute("class",this.graphClass),this.circle===!0&&r.forEach((l,c)=>{const u=this.rc.circle(l[0],l[1],this.circleRadius,{stroke:this.colors[h],fill:this.colors[h],fillStyle:"solid",strokeWidth:1,roughness:this.circleRoughness});this.roughSvg.appendChild(u)})});const e=this.dataSources.map((n,h)=>({color:this.colors[h],text:n})),i=6*e.reduce((n,h)=>n>h.text.length?n:h.text.length,0)+35,s=11*e.length+8;this.legend===!0&<(this,e,i,s,2),this.addAxes(),this.addLabels(),this.makeAxesRough(this.roughSvg,this.rcAxis),this.interactive===!0&&this.addInteraction()}drawFromFile(){this.colors===void 0&&(this.colors=dt),this.initRoughObjects(),this.addScales(),this.dataSources.map((s,n)=>{const h=this.data.map((o,l)=>this.x===void 0?[this.xScale(l),this.yScale(o[s])]:[this.xScale(this.x[l]),this.yScale(+o[s])]),r=h.filter(o=>o[0]!==void 0),a=this.rc.curve(r,{stroke:this.colors[n],strokeWidth:this.strokeWidth,roughness:1,bowing:10});this.roughSvg.appendChild(a),this.circle===!0&&r.forEach((o,l)=>{const c=this.rc.circle(o[0],o[1],this.circleRadius,{stroke:this.colors[n],fill:this.colors[n],fillStyle:"solid",strokeWidth:1,roughness:this.circleRoughness});this.roughSvg.appendChild(c)})});const t=this.dataSources.map((s,n)=>({color:this.colors[n],text:s})),e=6*t.reduce((s,n)=>s>n.text.length?s:n.text.length,0)+35,i=11*t.length+8;this.legend===!0&<(this,t,e,i,2),this.addAxes(),this.addLabels(),this.makeAxesRough(this.roughSvg,this.rcAxis),this.interactive===!0&&this.addInteraction()}},Network:class extends ot{constructor(t){super(t),this.data=t.data,this.links=t.links,this.margin=t.margin||{top:50,right:20,bottom:10,left:20},this.colors=t.colors||dt,this.highlight=t.highlight,this.roughness=_({roughness:t.roughness,ceiling:30,defaultValue:0}),this.strokeWidth=t.strokeWidth||.75,this.innerStrokeWidth=t.innerStrokeWidth||.75,this.fillWeight=t.fillWeight||.85,this.color=t.color||"skyblue",this.collision=t.collision||1.4,this.radiusExtent=t.radiusExtent||[5,20],this.radius=t.radius||"radius",this.textCallback=t.textCallback||(e=>""),this.colorCallback=t.colorCallback||(e=>this.color),this.roughnessExtent=t.roughnessExtent||[0,10],this.responsive=!0,this.boundRedraw=this.redraw.bind(this,t),this.legend=t.legend||!1,this.legendPosition=t.legendPosition||"right",this.initChartValues(t),this.resolveFont(),this.drawChart=this.resolveData(t.data,t.links),this.drawChart(),t.title!=="undefined"&&this.setTitle(t.title)}resizeHandler(){this.responsive&&this.boundRedraw()}remove(){A(this.el).select("svg").remove()}redraw(t){this.remove(),this.initChartValues(t),this.resolveFont(),this.drawChart=this.resolveData(t.data,t.links),this.drawChart(),t.title!=="undefined"&&this.setTitle(t.title)}initChartValues(t){this.roughness=t.roughness||this.roughness,this.collision=t.collision||this.collision,this.color=t.color||this.color,this.stroke=t.stroke||this.stroke,this.strokeWidth=t.strokeWidth||this.strokeWidth,this.axisStrokeWidth=t.axisStrokeWidth||this.axisStrokeWidth,this.axisRoughness=t.axisRoughness||this.axisRoughness,this.innerStrokeWidth=t.innerStrokeWidth||this.innerStrokeWidth,this.fillWeight=t.fillWeight||this.fillWeight,this.fillStyle=t.fillStyle||this.fillStyle,this.title=t.title||this.title,this.textCallback=t.textCallback||(n=>"");const e=A(this.el).node().getBoundingClientRect(),i=e.width,s=e.height;this.width=i-this.margin.left-this.margin.right,this.height=s-this.margin.top-this.margin.bottom,this.roughId=this.el+"_svg",this.graphClass=this.el.substring(1,this.el.length),this.interactionG="g."+this.graphClass,this.setSvg()}resolveData(t,e){return()=>{this.data=t,this.links=e,this.drawFromObject()}}setTitle(t){this.svg.append("text").attr("x",this.width/2).attr("y",0-this.margin.top/3).attr("class","title").attr("text-anchor","middle").style("font-size",this.titleFontSize===void 0?`${Math.min(40,Math.min(this.width,this.height)/4)}px`:this.titleFontSize).style("font-family",this.fontFamily).style("opacity",.8).text(t)}addInteraction(){const t=this;let e;P(".nodeGroup").on("mouseover",function(i){A(this).raise(),e=A(this).selectAll("path").style("stroke"),t.highlight===void 0?A(this).selectAll("path:nth-child(1)").style("opacity",.4):A(this).selectAll("path:nth-child(1)").style("stroke",t.highlight),A(this).selectAll("path:nth-child(2)").style("stroke-width",t.strokeWidth+1.2),A(this).select(".node-text").attr("opacity",1)}).on("mouseleave",function(i){A(this).selectAll("path:nth-child(1)").style("opacity",1),A(this).selectAll("path:nth-child(1)").style("stroke",e),A(this).selectAll("path:nth-child(2)").style("stroke-width",t.innerStrokeWidth),A(this).select(".node-text").attr("opacity",0)})}initRoughObjects(){this.roughSvg=document.getElementById(this.roughId),this.rcAxis=I(this.roughSvg,{options:{strokeWidth:this.strokeWidth>=3?3:this.strokeWidth}}),this.rc=I(this.roughSvg,{options:{strokeWidth:this.innerStrokeWidth,fill:this.color,stroke:this.stroke==="none"?void 0:this.stroke,roughness:this.roughness,bowing:this.bowing,fillStyle:this.fillStyle}})}drawFromObject(){const t=this;let e,i;if(typeof this.radius=="number")e=B().domain([0,1]).range([this.extent[0],this.radiusExtent[1]]);else{const r=wt(this.data,o=>+o[this.radius]),a=U(this.data,o=>+o[this.radius]);e=B().domain([r,a]).range([this.radiusExtent[0],this.radiusExtent[1]])}if(typeof this.roughness=="number")i=B().domain([0,1]).range([this.roughnessExtent[0],this.roughnessExtent[1]]);else{const r=wt(this.data,o=>+o[this.radius]),a=U(this.data,o=>+o[this.radius]);i=B().domain([r,a]).range([this.roughnessExtent[0],this.roughnessExtent[1]])}this.initRoughObjects();const s=this.svg.selectAll(".link").data(this.links).enter().append("line").attr("class","link"),n=this.svg.selectAll(".nodeGroup").data(this.data).enter().append("g").attr("class","nodeGroup");n.each(function(r,a){const o=typeof t.radius=="number"?t.radius:e(r[t.radius]),l=typeof t.roughness=="number"?t.roughness:i(r[t.roughness]),c=t.rc.circle(0,0,o,{fill:t.colorCallback(r),simplification:t.simplification,fillWeight:t.fillWeight,roughness:l});this.appendChild(c),c.setAttribute("class",t.graphClass+"_node"),A(this).append("circle").attr("class","node-circle").attr("r",.5*o).attr("fill","transparent").attr("stroke","black"),A(this).append("text").attr("class","node-text").attr("x",0).attr("y",-10).attr("text-anchor","middle").style("pointer-events","none").attr("stroke","black").attr("fill","white").attr("stroke-linejoin","fill").attr("paint-order","stroke fill").attr("stroke-width","5px").attr("opacity",0).text(u=>t.textCallback(u))});const h=en(this.data);if(h.alpha(1).restart(),h.force("collide",Ds().radius(r=>r.radius*this.collision)).force("center",Ns(this.width/2,this.height/2)).force("link",function(r){var a,o,l,c,u,d,f=dr,g=function(v){return 1/Math.min(c[v.source.index],c[v.target.index])},p=qt(30),y=1;function m(v){for(var w=0,C=r.length;w[f(W,R,l),W]));for(v=0,c=new Array(C);v{n.attr("transform",r=>`translate(${r.x}, ${r.y})`),s.attr("x1",r=>r.source.x).attr("y1",r=>r.source.y).attr("x2",r=>r.target.x).attr("y2",r=>r.target.y)}),P(".nodeGroup").selectAll("path:nth-child(2)").style("stroke-width",this.strokeWidth),this.interactive===!0&&this.addInteraction(),this.legend){const r=this.legend;this.colors=this.legend.map(l=>l.color);const a=6*r.reduce((l,c)=>l>c.text.length?l:c.text.length,0)+35,o=11*r.length+8;lt(this,r,a,o)}}},Force:class extends ot{constructor(t){super(t),this.data=t.data,this.margin=t.margin||{top:50,right:20,bottom:10,left:20},this.colors=t.colors||dt,this.highlight=t.highlight,this.roughness=_({roughness:t.roughness,ceiling:30,defaultValue:0}),this.strokeWidth=t.strokeWidth||.75,this.innerStrokeWidth=t.innerStrokeWidth||.75,this.fillWeight=t.fillWeight||.85,this.color=t.color||"pink",this.collision=t.collision||1,this.radiusExtent=t.radiusExtent||[5,20],this.roughnessExtent=t.roughnessExtent||[0,10],this.radius=t.radius||"radius",this.responsive=!0,this.boundRedraw=this.redraw.bind(this,t),this.textCallback=t.textCallback||(e=>""),this.colorCallback=t.colorCallback||(e=>this.color),this.legend=t.legend||!1,this.legendPosition=t.legendPosition||"right",this.initChartValues(t),this.resolveFont(),this.drawChart=this.resolveData(t.data),this.drawChart(),t.title!=="undefined"&&this.setTitle(t.title)}resizeHandler(){this.responsive&&this.boundRedraw()}remove(){A(this.el).select("svg").remove()}redraw(t){this.remove(),this.initChartValues(t),this.resolveFont(),this.drawChart=this.resolveData(t.data),this.drawChart(),t.title!=="undefined"&&this.setTitle(t.title)}initChartValues(t){this.roughness=t.roughness||this.roughness,this.collision=t.collision||this.collision,this.color=t.color||this.color,this.stroke=t.stroke||this.stroke,this.strokeWidth=t.strokeWidth||this.strokeWidth,this.axisStrokeWidth=t.axisStrokeWidth||this.axisStrokeWidth,this.axisRoughness=t.axisRoughness||this.axisRoughness,this.innerStrokeWidth=t.innerStrokeWidth||this.innerStrokeWidth,this.fillWeight=t.fillWeight||this.fillWeight,this.fillStyle=t.fillStyle||this.fillStyle,this.title=t.title||this.title,this.textCallback=t.textCallback||(n=>"");const e=A(this.el).node().getBoundingClientRect(),i=e.width,s=e.height;this.width=i-this.margin.left-this.margin.right,this.height=s-this.margin.top-this.margin.bottom,this.roughId=this.el+"_svg",this.graphClass=this.el.substring(1,this.el.length),this.interactionG="g."+this.graphClass,this.setSvg()}resolveData(t){return()=>{this.data=t,this.drawFromObject()}}setTitle(t){this.svg.append("text").attr("x",this.width/2).attr("y",0-this.margin.top/3).attr("class","title").attr("text-anchor","middle").style("font-size",this.titleFontSize===void 0?`${Math.min(40,Math.min(this.width,this.height)/4)}px`:this.titleFontSize).style("font-family",this.fontFamily).style("opacity",.8).text(t)}addInteraction(){const t=this;let e;P(".nodeGroup").on("mouseover",function(i){e=A(this).selectAll("path").style("stroke"),A(this).raise(),t.highlight===void 0?A(this).selectAll("path:nth-child(1)").style("opacity",.4):A(this).selectAll("path:nth-child(1)").style("stroke",t.highlight),A(this).selectAll("path:nth-child(2)").style("stroke-width",t.strokeWidth+1.2),A(this).select(".node-text").attr("opacity",1),A(this).select(".node-text").raise()}).on("mouseleave",function(i){A(this).selectAll("path:nth-child(1)").style("opacity",1),A(this).selectAll("path:nth-child(1)").style("stroke",e),A(this).selectAll("path:nth-child(2)").style("stroke-width",t.strokeWidth),A(this).select(".node-text").attr("opacity",0)})}initRoughObjects(){this.roughSvg=document.getElementById(this.roughId),this.rcAxis=I(this.roughSvg,{options:{strokeWidth:this.strokeWidth>=3?3:this.strokeWidth}}),this.rc=I(this.roughSvg,{options:{strokeWidth:this.innerStrokeWidth,fill:this.color,stroke:this.stroke==="none"?void 0:this.stroke,roughness:this.roughness,bowing:this.bowing,fillStyle:this.fillStyle}})}drawFromObject(){const t=this;let e,i;if(typeof this.radius=="number")e=B().domain([0,1]).range([this.radiusExtent[0],this.radiusExtent[1]]);else{const r=wt(this.data,o=>+o[this.radius]),a=U(this.data,o=>+o[this.radius]);e=B().domain([r,a]).range([this.radiusExtent[0],this.radiusExtent[1]])}if(typeof this.roughness=="number")i=B().domain([0,1]).range([this.roughnessExtent[0],this.roughnessExtent[1]]);else{const r=wt(this.data,o=>+o[this.radius]),a=U(this.data,o=>+o[this.radius]);i=B().domain([r,a]).range([this.roughnessExtent[0],this.roughnessExtent[1]])}this.initRoughObjects();let s=this.svg.selectAll(".nodeGroup").data(this.data),n=s.enter().append("g").attr("class","nodeGroup");s=s.merge(n),s.each(function(r,a){const o=typeof t.radius=="number"?t.radius:e(r[t.radius]),l=typeof t.roughness=="number"?t.roughness:i(r[t.roughness]),c=t.rc.circle(0,0,o,{fill:t.colorCallback(r),simplification:t.simplification,fillWeight:t.fillWeight,roughness:l});this.appendChild(c).setAttribute("class",t.graphClass+"_node"),A(this).append("circle").attr("class","node-circle").attr("r",.5*o).attr("fill","transparent").attr("stroke","black"),A(this).append("text").attr("class","node-text").attr("x",0).attr("y",-10).attr("text-anchor","middle").style("pointer-events","none").attr("stroke","black").attr("fill","white").attr("stroke-linejoin","fill").attr("paint-order","stroke fill").attr("stroke-width","5px").attr("opacity",0).text(u=>t.textCallback(u))});const h=en(this.data);if(h.alpha(1).restart(),h.force("collide",Ds().radius(r=>r.radius*this.collision*1.2)).force("center",Ns(this.width/2,this.height/2)),h.on("tick",()=>{s.attr("transform",r=>`translate(${r.x}, ${r.y})`),s.attr("attrX",r=>+r.x),s.attr("attrY",r=>+r.y)}),P(".nodeGroup").selectAll("path:nth-child(2)").style("stroke-width",this.strokeWidth),this.interactive===!0&&this.addInteraction(),this.legend){const r=this.legend;this.colors=this.legend.map(l=>l.color);const a=6*r.reduce((l,c)=>l>c.text.length?l:c.text.length,0)+35,o=11*r.length+8;lt(this,r,a,o)}}},Pie:class extends ot{constructor(t){super(t),this.data=t.data,this.margin=t.margin||{top:50,right:20,bottom:10,left:20},this.colors=t.colors||dt,this.highlight=t.highlight,this.roughness=_({roughness:t.roughness,ceiling:30,defaultValue:0}),this.strokeWidth=t.strokeWidth||.75,this.innerStrokeWidth=t.innerStrokeWidth||.75,this.fillWeight=t.fillWeight||.85,this.labels=this.dataFormat==="object"?"labels":t.labels,this.values=this.dataFormat==="object"?"values":t.values,this.labels!==void 0&&this.values!==void 0?(this.legend=t.legend!==!1,this.legendPosition=t.legendPosition||"right",this.responsive=!0,this.boundRedraw=this.redraw.bind(this,t),this.initChartValues(t),this.resolveFont(),this.drawChart=this.resolveData(t.data),this.drawChart(),t.title!=="undefined"&&this.setTitle(t.title)):console.log(`Error for ${this.el}: Must include labels and values when instantiating Donut chart. Skipping chart.`)}resizeHandler(){this.responsive&&this.boundRedraw()}remove(){A(this.el).select("svg").remove()}redraw(t){this.remove(),this.initChartValues(t),this.resolveFont(),this.drawChart=this.resolveData(t.data),this.drawChart(),t.title!=="undefined"&&this.setTitle(t.title)}initChartValues(t){this.roughness=t.roughness||this.roughness,this.stroke=t.stroke||this.stroke,this.strokeWidth=t.strokeWidth||this.strokeWidth,this.axisStrokeWidth=t.axisStrokeWidth||this.axisStrokeWidth,this.axisRoughness=t.axisRoughness||this.axisRoughness,this.innerStrokeWidth=t.innerStrokeWidth||this.innerStrokeWidth,this.fillWeight=t.fillWeight||this.fillWeight,this.fillStyle=t.fillStyle||this.fillStyle;const e=A(this.el).node().getBoundingClientRect(),i=e.width,s=e.height;this.width=i-this.margin.left-this.margin.right,this.height=s-this.margin.top-this.margin.bottom,this.roughId=this.el+"_svg",this.graphClass=this.el.substring(1,this.el.length),this.interactionG="g."+this.graphClass,this.radius=Math.min(this.width,this.height)/2,this.setSvg()}resolveData(t){return typeof t!="string"?()=>{this.data=t,this.drawFromObject()}:t.includes(".csv")?()=>{gt(t).then(e=>{this.data=e,this.drawFromFile()})}:t.includes(".tsv")?()=>{pt(t).then(e=>{this.data=e,this.drawFromFile()})}:t.includes(".json")?()=>{Ri(t).then(e=>{this.data=e,this.drawFromFile()})}:void 0}setTitle(t){this.svg.append("text").attr("x",this.width/2).attr("y",0-this.margin.top/3).attr("class","title").attr("text-anchor","middle").style("font-size",this.titleFontSize===void 0?`${Math.min(40,Math.min(this.width,this.height)/4)}px`:this.titleFontSize).style("font-family",this.fontFamily).style("opacity",.8).text(t)}addInteraction(){P(this.interactionG).append("g").attr("transform",`translate(${this.width/2}, ${this.height/2})`).data(this.dataFormat==="object"?this.makePie(this.data[this.values]):this.makePie(this.data)).append("path").attr("d",this.makeArc).attr("stroke-width","0px").attr("fill","transparent");const t=A(this.el).append("div").style("opacity",0).attr("class","tooltip").style("position","absolute").style("background-color","white").style("border","solid").style("border-width","1px").style("border-radius","5px").style("padding","3px").style("font-family",this.fontFamily).style("font-size",this.tooltipFontSize).style("pointer-events","none"),e=this;let i;P(this.interactionG).on("mouseover",function(){t.style("opacity",1),i=A(this).selectAll("path").style("stroke"),e.highlight===void 0?A(this).selectAll("path").style("opacity",.5):A(this).selectAll("path").style("stroke",e.highlight)}),P(this.interactionG).on("mouseout",function(){t.style("opacity",0),A(this).selectAll("path").style("stroke",i),A(this).selectAll("path").style("opacity",1)}),P(this.interactionG).on("mousemove",function(s){const n=A(this).attr("attrX"),h=A(this).attr("attrY"),r=At(this);t.html(`${n}: ${h}`).style("opacity",.95).attr("class",function(a){}).style("transform",`translate(${r[0]+e.margin.left}px,
+ ${r[1]-e.height-e.margin.bottom}px)`)})}initRoughObjects(){this.roughSvg=document.getElementById(this.roughId),this.rcAxis=I(this.roughSvg,{options:{strokeWidth:this.strokeWidth>=3?3:this.strokeWidth}}),this.rc=I(this.roughSvg,{options:{fill:this.color,strokeWidth:this.innerStrokeWidth,roughness:this.roughness,bowing:this.bowing,fillStyle:this.fillStyle}})}drawFromObject(){this.initRoughObjects(),this.makePie=pe(),this.makeArc=ge().innerRadius(0).outerRadius(this.radius),this.arcs=this.makePie(this.data[this.values]),this.arcs.forEach((s,n)=>{if(s.value!==0){const h=this.rc.arc(this.width/2,this.height/2,2*this.radius,2*this.radius,s.startAngle-Math.PI/2,s.endAngle-Math.PI/2,!0,{fill:this.colors[n],stroke:this.colors[n]});h.setAttribute("class",this.graphClass);const r=this.roughSvg.appendChild(h);r.setAttribute("attrY",this.data[this.values][n]),r.setAttribute("attrX",this.data[this.labels][n])}}),P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width",this.strokeWidth);const t=this.data.labels.map((s,n)=>({color:this.colors[n],text:s})),e=6*t.reduce((s,n)=>s>n.text.length?s:n.text.length,0)+35,i=11*t.length+8;this.legend===!0&<(this,t,e,i),this.interactive===!0&&this.addInteraction()}drawFromFile(){this.initRoughObjects(),this.makePie=pe().value(n=>n[this.values]).sort(null);const t=[];this.makeArc=ge().innerRadius(0).outerRadius(this.radius),this.arcs=this.makePie(this.data),this.arcs.forEach((n,h)=>{if(n.value!==0){const r=this.rc.arc(this.width/2,this.height/2,2*this.radius,2*this.radius,n.startAngle-Math.PI/2,n.endAngle-Math.PI/2,!0,{fill:this.colors[h],stroke:this.colors[h]});r.setAttribute("class",this.graphClass);const a=this.roughSvg.appendChild(r);a.setAttribute("attrY",n.data[this.values]),a.setAttribute("attrX",n.data[this.labels])}t.push(n.data[this.labels])}),P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width",this.strokeWidth);const e=t.map((n,h)=>({color:this.colors[h],text:n})),i=6*e.reduce((n,h)=>n>h.text.length?n:h.text.length,0)+35,s=11*e.length+8;this.legend===!0&<(this,e,i,s),this.interactive===!0&&this.addInteraction()}},Scatter:class extends ot{constructor(t){super(t),this.margin=t.margin||{top:50,right:20,bottom:50,left:100},this.colorVar=t.colorVar,this.roughness=_({roughness:t.roughness}),this.highlight=t.highlight,this.highlightLabel=t.highlightLabel||"xy",this.radius=t.radius||8,this.axisStrokeWidth=t.axisStrokeWidth||.4,this.axisRoughness=t.axisRoughness||.9,this.curbZero=t.curbZero===!0,this.innerStrokeWidth=t.innerStrokeWidth||1,this.stroke=t.stroke||"black",this.fillWeight=t.fillWeight||.85,this.colors=t.colors,this.strokeWidth=t.strokeWidth||1,this.axisFontSize=t.axisFontSize,this.x=this.dataFormat==="object"?"x":t.x,this.y=this.dataFormat==="object"?"y":t.y,this.xValueFormat=t.xValueFormat,this.yValueFormat=t.yValueFormat,this.xLabel=t.xLabel||"",this.yLabel=t.yLabel||"",this.labelFontSize=t.labelFontSize||"1rem",this.responsive=!0,this.boundRedraw=this.redraw.bind(this,t),this.initChartValues(t),this.resolveFont(),this.drawChart=this.resolveData(t.data),this.drawChart(),t.title!=="undefined"&&this.setTitle(t.title),window.addEventListener("resize",this.resizeHandler.bind(this))}resizeHandler(){this.responsive&&this.boundRedraw()}remove(){A(this.el).select("svg").remove()}redraw(t){this.remove(),this.initChartValues(t),this.resolveFont(),this.drawChart=this.resolveData(t.data),this.drawChart()}initChartValues(t){this.roughness=t.roughness||this.roughness,this.stroke=t.stroke||this.stroke,this.strokeWidth=t.strokeWidth||this.strokeWidth,this.axisStrokeWidth=t.axisStrokeWidth||this.axisStrokeWidth,this.axisRoughness=t.axisRoughness||this.axisRoughness,this.innerStrokeWidth=t.innerStrokeWidth||this.innerStrokeWidth,this.fillWeight=t.fillWeight||this.fillWeight,this.fillStyle=t.fillStyle||this.fillStyle;const e=A(this.el).node().getBoundingClientRect(),i=e.width,s=e.height;this.width=i-this.margin.left-this.margin.right,this.height=s-this.margin.top-this.margin.bottom,this.roughId=this.el+"_svg",this.graphClass=this.el.substring(1,this.el.length),this.interactionG="g."+this.graphClass,this.setSvg()}resolveData(t){return typeof t!="string"?()=>{this.data=t,this.drawFromObject()}:t.includes(".csv")?()=>{gt(t).then(e=>{console.log(e),this.data=e,this.drawFromFile()})}:t.includes(".tsv")?()=>{pt(t).then(e=>{this.data=e,this.drawFromFile()})}:void 0}addScales(){const t=this.dataFormat==="file"?at(this.data,h=>+h[this.x]):at(this.data[this.x]),e=t[1]-t[0],i=this.dataFormat==="file"?at(this.data,h=>+h[this.y]):at(this.data[this.y]),s=i[1]-i[0],n=this.dataFormat==="file"?at(this.data,h=>h[this.colorVar]):[1,1];if(this.dataFormat==="file"){const h=at(this.data,a=>+a[this.radius]),r=Math.min(this.width,this.height)/2/2;this.radiusScale=B().range([8,r]).domain(h)}this.curbZero===!0&&(i[0]>0&&(i[0]=0),t[0]>0&&(t[0]=0)),this.xScale=B().range([0,this.width]).domain([t[0]-.05*e,t[1]+.05*e]),this.yScale=B().range([this.height,0]).domain([i[0]-.05*s,i[1]+.05*s]),this.colorScale=te().range(this.colors).domain(n)}addLabels(){this.xLabel!==""&&this.svg.append("text").attr("x",this.width/2).attr("y",this.height+this.margin.bottom/1.3).attr("dx","1em").attr("class","labelText").style("text-anchor","middle").style("font-family",this.fontFamily).style("font-size",this.labelFontSize).text(this.xLabel),this.yLabel!==""&&this.svg.append("text").attr("transform","rotate(-90)").attr("y",0-this.margin.left/2).attr("x",0-this.height/2).attr("dy","1em").attr("class","labelText").style("text-anchor","middle").style("font-family",this.fontFamily).style("font-size",this.labelFontSize).text(this.yLabel)}addAxes(){const t=It(this.xScale).tickSize(0).tickFormat(i=>this.xValueFormat?it(this.xValueFormat)(i):i),e=Lt(this.yScale).tickSize(0).tickFormat(i=>this.yValueFormat?it(this.yValueFormat)(i):i);this.svg.append("g").attr("transform","translate(0,"+this.height+")").call(t).attr("class",`xAxis${this.graphClass}`).selectAll("text").attr("transform","translate(-10, 0)rotate(-45)").style("text-anchor","end").style("font-family",this.fontFamily).style("font-size",this.axisFontSize===void 0?`${Math.min(.95,Math.min(this.width,this.height)/140)}rem`:this.axisFontSize),this.svg.append("g").call(e).attr("class",`yAxis${this.graphClass}`).selectAll("text").style("font-family",this.fontFamily).style("font-size",this.axisFontSize===void 0?`${Math.min(.95,Math.min(this.width,this.height)/140)}rem`:this.axisFontSize),P("path.domain").attr("stroke","transparent"),P("g.tick").style("opacity",1)}makeAxesRough(t,e){const i=`xAxis${this.graphClass}`,s=`yAxis${this.graphClass}`,n=`rough-${i}`,h=`rough-${s}`;A(`.${i}`).selectAll("path.domain").each(function(r,a){const o=A(this).node().getAttribute("d"),l=e.path(o,{stroke:"black",fillStyle:"hachure"});l.setAttribute("class",n),t.appendChild(l)}),P(`.${n}`).attr("transform",`translate(0, ${this.height})`),A(`.${s}`).selectAll("path.domain").each(function(r,a){const o=A(this).node().getAttribute("d"),l=e.path(o,{stroke:"black",fillStyle:"hachure"});l.setAttribute("class",h),t.appendChild(l)})}setTitle(t){this.svg.append("text").attr("x",this.width/2).attr("y",0-this.margin.top/2).attr("text-anchor","middle").style("font-size",this.titleFontSize===void 0?`${Math.min(20,Math.min(this.width,this.height)/4)}px`:this.titleFontSize).style("font-family",this.fontFamily).style("opacity",.8).text(t)}addInteraction(){const t=P(this.interactionG).data(this.dataFormat==="file"?this.data:this.data.x).append("circle").attr("cx",(n,h)=>this.dataFormat==="file"?this.xScale(+n[this.x]):this.xScale(+this.data[this.x][h])).attr("cy",(n,h)=>this.dataFormat==="file"?this.yScale(+n[this.y]):this.yScale(+this.data[this.y][h]));this.dataFormat==="file"?t.attr("r",n=>typeof this.radius=="number"?.7*this.radius:.6*this.radiusScale(+n[this.radius])).attr("fill","transparent"):t.attr("r",(n,h)=>typeof this.radius=="number"?.7*this.radius:.6*this.radius[h]).attr("fill","transparent");let e=A(this.el).append("div").style("opacity",0).attr("class","tooltip").style("position","absolute").style("background-color","white").style("border","solid").style("border-width","1px").style("border-radius","5px").style("padding","3px").style("font-family",this.fontFamily).style("font-size",this.tooltipFontSize).style("pointer-events","none");const i=this;let s;P(this.interactionG).on("mouseover",function(){e.style("opacity",1),s=A(this).selectAll("path").style("stroke"),i.highlight===void 0?A(this).selectAll("path:nth-child(1)").style("opacity",.4):A(this).selectAll("path:nth-child(1)").style("stroke",i.highlight),A(this).selectAll("path:nth-child(2)").style("stroke-width",i.strokeWidth+1.2)}),P(this.interactionG).on("mouseout",function(){e.style("opacity",0),A(this).selectAll("path").style("opacity",1),A(this).selectAll("path:nth-child(1)").style("stroke",s),A(this).selectAll("path:nth-child(2)").style("stroke",i.stroke),A(this).selectAll("path:nth-child(2)").style("stroke-width",i.strokeWidth)}),P(this.interactionG).on("mousemove",function(n){const h=A(this).attr("attrX"),r=A(this).attr("attrY"),a=A(this).attr("attrHighlightLabel"),o=At(this);e.html(i.highlightLabel==="xy"?`x: ${h}
y: ${r}`:`${a}`).attr("class",function(l){}).style("transform",`translate(${o[0]+i.margin.left}px,
+ ${o[1]-(i.height+i.margin.top+i.margin.bottom/2)}px)`)})}initRoughObjects(){this.roughSvg=document.getElementById(this.roughId),this.rcAxis=I(this.roughSvg,{options:{strokeWidth:this.axisStrokeWidth,roughness:this.axisRoughness}}),this.rc=I(this.roughSvg,{options:{stroke:this.stroke==="none"?void 0:this.stroke,strokeWidth:this.innerStrokeWidth,roughness:this.roughness,bowing:this.bowing,fillStyle:this.fillStyle}})}drawFromObject(){this.colors===void 0&&(this.colors=sn[0]),this.initRoughObjects(),this.addScales(),this.addAxes(),this.makeAxesRough(this.roughSvg,this.rcAxis),this.addLabels(),this.data.x.forEach((t,e)=>{const i=this.rc.circle(this.xScale(+t),this.yScale(+this.data[this.y][e]),typeof this.radius=="number"?this.radius:this.radius[e],{fill:typeof this.colors=="string"?this.colors:this.colors.length===1?this.colors[0]:this.colors[e],simplification:this.simplification,fillWeight:this.fillWeight}),s=this.roughSvg.appendChild(i);s.setAttribute("class",this.graphClass),s.setAttribute("attrX",t),s.setAttribute("attrY",this.data[this.y][e]),s.setAttribute("attrHighlightLabel",this.data[this.highlightLabel])}),P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width",this.strokeWidth),this.interactive===!0&&this.addInteraction()}drawFromFile(){this.colors===void 0&&(this.colors=sn),this.initRoughObjects(),this.addScales(),this.addAxes(),this.makeAxesRough(this.roughSvg,this.rcAxis),this.addLabels(),this.data.forEach((t,e)=>{const i=this.rc.circle(this.xScale(+t[this.x]),this.yScale(+t[this.y]),typeof this.radius=="number"?this.radius:this.radiusScale(+t[this.radius]),{fill:this.colorVar===void 0?this.colors[0]:this.colorScale(t[this.colorVar]),simplification:this.simplification,fillWeight:this.fillWeight}),s=this.roughSvg.appendChild(i);s.setAttribute("class",this.graphClass),s.setAttribute("attrX",t[this.x]),s.setAttribute("attrY",t[this.y]),s.setAttribute("attrHighlightLabel",t[this.highlightLabel])}),P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width",this.strokeWidth),this.interactive===!0&&this.addInteraction()}},StackedBar:class extends ot{constructor(t){super(t),this.data=t.data,this.margin=t.margin||{top:50,right:20,bottom:70,left:100},this.color=t.color||"red",this.highlight=t.highlight||"coral",this.roughness=_({roughness:t.roughness}),this.stroke=t.stroke||"black",this.strokeWidth=t.strokeWidth||1,this.axisStrokeWidth=t.axisStrokeWidth||.5,this.axisRoughness=t.axisRoughness||.5,this.innerStrokeWidth=t.innerStrokeWidth||1,this.fillWeight=t.fillWeight||.5,this.axisFontSize=t.axisFontSize,this.labels=t.labels,this.values=t.values,this.stackColorMapping={},this.padding=t.padding||.1,this.xLabel=t.xLabel||"",this.yLabel=t.yLabel||"",this.labelFontSize=t.labelFontSize||"1rem",this.responsive=!0,this.boundRedraw=this.redraw.bind(this,t),this.initChartValues(t),this.resolveFont(),this.drawChart=this.resolveData(t.data),this.drawChart(),t.title!=="undefined"&&this.setTitle(t.title),window.addEventListener("resize",this.resizeHandler.bind(this))}resizeHandler(){this.responsive&&this.boundRedraw()}remove(){A(this.el).select("svg").remove()}redraw(t){this.remove(),this.initChartValues(t),this.resolveFont(),this.drawChart=this.resolveData(t.data),this.drawChart(),t.title!=="undefined"&&this.setTitle(t.title)}initChartValues(t){this.roughness=t.roughness||this.roughness,this.stroke=t.stroke||this.stroke,this.strokeWidth=t.strokeWidth||this.strokeWidth,this.axisStrokeWidth=t.axisStrokeWidth||this.axisStrokeWidth,this.axisRoughness=t.axisRoughness||this.axisRoughness,this.innerStrokeWidth=t.innerStrokeWidth||this.innerStrokeWidth,this.fillWeight=t.fillWeight||this.fillWeight,this.fillStyle=t.fillStyle||this.fillStyle;const e=A(this.el).node().getBoundingClientRect(),i=e.width,s=e.height;this.width=i-this.margin.left-this.margin.right,this.height=s-this.margin.top-this.margin.bottom,this.roughId=this.el+"_svg",this.graphClass=this.el.substring(1,this.el.length),this.interactionG="g."+this.graphClass,this.setSvg()}getTotal(t){for(let e=0;e{this.data=t,t=t.map(e=>(Object.keys(e).includes("total")&&(e.total=0),e));for(let e=0;e{s!==this.labels&&s!=="total"&&(this.updateColorMapping(s),i+=t[e][s])}),t[e].total=i}this.drawFromObject()}:t.includes(".csv")?()=>{gt(t).then(e=>{this.getTotal(e),this.data=e,this.drawFromFile()})}:t.includes(".tsv")?()=>{pt(t).then(e=>{this.getTotal(e),this.data=e,this.drawFromFile()})}:void 0}addScales(){this.xScale=Tt().rangeRound([0,this.width]).padding(this.padding).domain(this.data.map(e=>e[this.labels])),this.yScale=B().rangeRound([this.height,0]).domain([0,U(this.data,e=>e.total)]).nice();const t=this.dataFormat==="object"?this.data.map(e=>e[this.labels]):this.data.columns;this.zScale=te().range(["#98abc5","#8a89a6","#7b6888","#6b486b","#a05d56","#d0743c","#ff8c00"]).domain(t)}addLabels(){this.xLabel!==""&&this.svg.append("text").attr("x",this.width/2).attr("y",this.height+this.margin.bottom/2).attr("dx","1em").attr("class","labelText").style("text-anchor","middle").style("font-family",this.fontFamily).style("font-size",this.labelFontSize).text(this.xLabel),this.yLabel!==""&&this.svg.append("text").attr("transform","rotate(-90)").attr("y",0-this.margin.left/1.4).attr("x",0-this.height/2).attr("dy","1em").attr("class","labelText").style("text-anchor","middle").style("font-family",this.fontFamily).style("font-size",this.labelFontSize).text(this.yLabel)}addAxes(){const t=It(this.xScale).tickSize(0);this.svg.append("g").attr("transform","translate(0,"+this.height+")").call(t).attr("class",`xAxis${this.graphClass}`).selectAll("text").attr("transform","translate(-10,0)rotate(-45)").style("text-anchor","end").style("font-family",this.fontFamily).style("font-size",this.axisFontSize===void 0?`${Math.min(.8,Math.min(this.width,this.height)/140)}rem`:this.axisFontSize).style("opacity",.9);const e=Lt(this.yScale).tickSize(0);this.svg.append("g").call(e).attr("class",`yAxis${this.graphClass}`).selectAll("text").style("font-family",this.fontFamily).style("font-size",this.axisFontSize===void 0?`${Math.min(.95,Math.min(this.width,this.height)/140)}rem`:this.axisFontSize).style("opacity",.9),P("path.domain").attr("stroke","transparent")}makeAxesRough(t,e){const i=`xAxis${this.graphClass}`,s=`yAxis${this.graphClass}`,n=`rough-${i}`,h=`rough-${s}`;A(`.${i}`).selectAll("path.domain").each(function(r,a){const o=A(this).node().getAttribute("d"),l=e.path(o,{fillStyle:"hachure"});l.setAttribute("class",n),t.appendChild(l)}),P(`.${n}`).attr("transform",`translate(0, ${this.height})`),A(`.${s}`).selectAll("path.domain").each(function(r,a){const o=A(this).node().getAttribute("d"),l=e.path(o,{fillStyle:"hachure"});l.setAttribute("class",h),t.appendChild(l)})}setTitle(t){this.svg.append("text").attr("x",this.width/2).attr("y",0-this.margin.top/2).attr("class","title").attr("text-anchor","middle").style("font-size",this.titleFontSize===void 0?`${Math.min(40,Math.min(this.width,this.height)/5)}px`:this.titleFontSize).style("font-family",this.fontFamily).style("opacity",.8).text(t)}addInteraction(){P(this.interactionG).each(function(s,n){const h=this.attributes;A(this).append("rect").attr("x",h.x.value).attr("y",h.y.value).attr("width",h.width.value).attr("height",h.height.value).attr("fill","transparent")});const t=A(this.el).append("div").style("opacity",0).attr("class","tooltip").style("position","absolute").style("background-color","white").style("border","solid").style("border-width","1px").style("border-radius","5px").style("padding","3px").style("font-family",this.fontFamily).style("font-size",this.tooltipFontSize).style("pointer-events","none"),e=this;let i;P(this.interactionG).on("mouseover",function(){t.style("opacity",1),i=A(this).selectAll("path").style("stroke"),A(this).select("path").style("stroke",e.highlight),A(this).selectAll("path:nth-child(2)").style("stroke-width",e.strokeWidth+1.2)}),P(this.interactionG).on("mouseout",function(){t.style("opacity",0),A(this).select("path").style("stroke",i),A(this).selectAll("path:nth-child(2)").style("stroke-width",e.strokeWidth)}),P(this.interactionG).on("mousemove",function(s){const n=A(this).attr("attrX"),h=A(this).attr("attrY"),r=At(this);t.html(`${n}: ${h}`).style("opacity",.95).attr("class",function(a){}).style("transform",`translate(${r[0]+e.margin.left}px,
+ ${r[1]-(e.height+e.margin.top+e.margin.bottom/2)}px)`)})}initRoughObjects(){this.roughSvg=document.getElementById(this.roughId),this.rcAxis=I(this.roughSvg,{options:{strokeWidth:this.axisStrokeWidth,roughness:this.axisRoughness}}),this.rc=I(this.roughSvg,{options:{stroke:this.stroke==="none"?void 0:this.stroke,strokeWidth:this.innerStrokeWidth,roughness:this.roughness,bowing:this.bowing,fillStyle:this.fillStyle}})}stacking(){this.data.forEach(t=>{const e=Object.keys(t);let i=0;e.forEach((s,n)=>{if(n>0&&s!=="total"){i+=parseInt(t[s],10);const h=this.xScale(t[this.labels]),r=this.yScale(i),a=this.xScale.bandwidth(),o=this.height-this.yScale(+t[s]),l=this.rc.rectangle(h,r,a,o,{fill:this.stackColorMapping[s]||this.colors[n],stroke:this.stackColorMapping[s]||this.colors[n],simplification:this.simplification,fillWeight:this.fillWeight}),c=this.roughSvg.appendChild(l);c.setAttribute("class",this.graphClass),c.setAttribute("attrX",t[this.labels]),c.setAttribute("keyY",s),c.setAttribute("attrY",+t[s]),c.setAttribute("x",h),c.setAttribute("y",r),c.setAttribute("width",a),c.setAttribute("height",o)}})})}drawFromObject(){this.initRoughObjects(),this.addScales(),this.addAxes(),this.makeAxesRough(this.roughSvg,this.rcAxis),this.addLabels(),this.stacking(),P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width",this.strokeWidth),this.interactive===!0&&this.addInteraction()}drawFromFile(){this.initRoughObjects(),this.addScales(),this.addAxes(),this.makeAxesRough(this.roughSvg,this.rcAxis),this.addLabels(),this.stacking(),P(this.interactionG).selectAll("path:nth-child(2)").style("stroke-width",this.strokeWidth),this.interactive===!0&&this.addInteraction()}}}});