generazione grafo sint

node_modules/commarcdiag/README.md

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+# Untitled
+
+https://observablehq.com/@cesare/commarcdiag@1159
+
+View this notebook in your browser by running a web server in this folder. For
+example:
+
+~~~sh
+npx http-server
+~~~
+
+Or, use the [Observable Runtime](https://github.com/observablehq/runtime) to
+import this module directly into your application. To npm install:
+
+~~~sh
+npm install @observablehq/runtime@5
+npm install https://api.observablehq.com/d/d019e1db56ab1d8c@1159.tgz?v=3
+~~~
+
+Then, import your notebook and the runtime as:
+
+~~~js
+import {Runtime, Inspector} from "@observablehq/runtime";
+import define from "@cesare/commarcdiag";
+~~~
+
+To log the value of the cell named “foo”:
+
+~~~js
+const runtime = new Runtime();
+const main = runtime.module(define);
+main.value("foo").then(value => console.log(value));
+~~~

node_modules/commarcdiag/a33468b95d0b15b0@808.js

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+// https://observablehq.com/@d3/color-legend@808
+function _1(md){return(
+md`# Color Legend
+
+A simple legend for a [color scale](/@d3/color-schemes). Supports [continuous](/@d3/continuous-scales), [sequential](/@d3/sequential-scales), [diverging](/@d3/diverging-scales), [quantize, quantile, threshold](/@d3/quantile-quantize-and-threshold-scales) and [ordinal](/@d3/d3-scaleordinal) scales. To use:
+
+~~~js
+import {Legend, Swatches} from "@d3/color-legend"
+~~~
+
+Then call the legend function as shown below. (For ordinal scales, also consider the swatches function.)`
+)}
+
+function _2(Legend,d3){return(
+Legend(d3.scaleSequential([0, 100], d3.interpolateViridis), {
+  title: "Temperature (°F)"
+})
+)}
+
+function _3(Legend,d3){return(
+Legend(d3.scaleSequentialSqrt([0, 1], d3.interpolateTurbo), {
+  title: "Speed (kts)"
+})
+)}
+
+function _4(Legend,d3){return(
+Legend(d3.scaleDiverging([-0.1, 0, 0.1], d3.interpolatePiYG), {
+  title: "Daily change",
+  tickFormat: "+%"
+})
+)}
+
+function _5(Legend,d3){return(
+Legend(d3.scaleDivergingSqrt([-0.1, 0, 0.1], d3.interpolateRdBu), {
+  title: "Daily change",
+  tickFormat: "+%"
+})
+)}
+
+function _6(Legend,d3){return(
+Legend(d3.scaleSequentialLog([1, 100], d3.interpolateBlues), {
+  title: "Energy (joules)",
+  ticks: 10
+})
+)}
+
+function _7(Legend,d3){return(
+Legend(d3.scaleSequentialQuantile(d3.range(100).map(() => Math.random() ** 2), d3.interpolateBlues), {
+  title: "Quantile",
+  tickFormat: ".2f"
+})
+)}
+
+function _8(Legend,d3){return(
+Legend(d3.scaleSqrt([-100, 0, 100], ["blue", "white", "red"]), {
+  title: "Temperature (°C)"
+})
+)}
+
+function _9(Legend,d3){return(
+Legend(d3.scaleQuantize([1, 10], d3.schemePurples[9]), {
+  title: "Unemployment rate (%)"
+})
+)}
+
+function _10(Legend,d3){return(
+Legend(d3.scaleQuantile(d3.range(1000).map(d3.randomNormal(100, 20)), d3.schemeSpectral[9]), {
+  title: "Height (cm)",
+  tickFormat: ".0f"
+})
+)}
+
+function _11(Legend,d3){return(
+Legend(d3.scaleThreshold([2.5, 3.1, 3.5, 3.9, 6, 7, 8, 9.5], d3.schemeRdBu[9]), {
+  title: "Unemployment rate (%)",
+  tickSize: 0
+})
+)}
+
+function _12(Legend,d3){return(
+Legend(d3.scaleOrdinal(["<10", "10-19", "20-29", "30-39", "40-49", "50-59", "60-69", "70-79", "≥80"], d3.schemeSpectral[10]), {
+  title: "Age (years)",
+  tickSize: 0
+})
+)}
+
+function _13(md){return(
+md`But wait, there’s more!
+
+How about swatches for ordinal color scales? Both variable-width swatches and [column layout](https://developer.mozilla.org/en-US/docs/Web/CSS/columns) are supported.`
+)}
+
+function _14(Swatches,d3){return(
+Swatches(d3.scaleOrdinal(["blueberries", "oranges", "apples"], d3.schemeCategory10))
+)}
+
+function _15(Swatches,d3){return(
+Swatches(d3.scaleOrdinal(["Wholesale and Retail Trade", "Manufacturing", "Leisure and hospitality", "Business services", "Construction", "Education and Health", "Government", "Finance", "Self-employed", "Other"], d3.schemeTableau10), {
+  columns: "180px"
+})
+)}
+
+function _16(md){return(
+md`---
+
+## Implementation`
+)}
+
+function _Legend(d3){return(
+function Legend(color, {
+  title,
+  tickSize = 6,
+  width = 320, 
+  height = 44 + tickSize,
+  marginTop = 18,
+  marginRight = 0,
+  marginBottom = 16 + tickSize,
+  marginLeft = 0,
+  ticks = width / 64,
+  tickFormat,
+  tickValues
+} = {}) {
+
+  function ramp(color, n = 256) {
+    const canvas = document.createElement("canvas");
+    canvas.width = n;
+    canvas.height = 1;
+    const context = canvas.getContext("2d");
+    for (let i = 0; i < n; ++i) {
+      context.fillStyle = color(i / (n - 1));
+      context.fillRect(i, 0, 1, 1);
+    }
+    return canvas;
+  }
+
+  const svg = d3.create("svg")
+      .attr("width", width)
+      .attr("height", height)
+      .attr("viewBox", [0, 0, width, height])
+      .style("overflow", "visible")
+      .style("display", "block");
+
+  let tickAdjust = g => g.selectAll(".tick line").attr("y1", marginTop + marginBottom - height);
+  let x;
+
+  // Continuous
+  if (color.interpolate) {
+    const n = Math.min(color.domain().length, color.range().length);
+
+    x = color.copy().rangeRound(d3.quantize(d3.interpolate(marginLeft, width - marginRight), n));
+
+    svg.append("image")
+        .attr("x", marginLeft)
+        .attr("y", marginTop)
+        .attr("width", width - marginLeft - marginRight)
+        .attr("height", height - marginTop - marginBottom)
+        .attr("preserveAspectRatio", "none")
+        .attr("xlink:href", ramp(color.copy().domain(d3.quantize(d3.interpolate(0, 1), n))).toDataURL());
+  }
+
+  // Sequential
+  else if (color.interpolator) {
+    x = Object.assign(color.copy()
+        .interpolator(d3.interpolateRound(marginLeft, width - marginRight)),
+        {range() { return [marginLeft, width - marginRight]; }});
+
+    svg.append("image")
+        .attr("x", marginLeft)
+        .attr("y", marginTop)
+        .attr("width", width - marginLeft - marginRight)
+        .attr("height", height - marginTop - marginBottom)
+        .attr("preserveAspectRatio", "none")
+        .attr("xlink:href", ramp(color.interpolator()).toDataURL());
+
+    // scaleSequentialQuantile doesn’t implement ticks or tickFormat.
+    if (!x.ticks) {
+      if (tickValues === undefined) {
+        const n = Math.round(ticks + 1);
+        tickValues = d3.range(n).map(i => d3.quantile(color.domain(), i / (n - 1)));
+      }
+      if (typeof tickFormat !== "function") {
+        tickFormat = d3.format(tickFormat === undefined ? ",f" : tickFormat);
+      }
+    }
+  }
+
+  // Threshold
+  else if (color.invertExtent) {
+    const thresholds
+        = color.thresholds ? color.thresholds() // scaleQuantize
+        : color.quantiles ? color.quantiles() // scaleQuantile
+        : color.domain(); // scaleThreshold
+
+    const thresholdFormat
+        = tickFormat === undefined ? d => d
+        : typeof tickFormat === "string" ? d3.format(tickFormat)
+        : tickFormat;
+
+    x = d3.scaleLinear()
+        .domain([-1, color.range().length - 1])
+        .rangeRound([marginLeft, width - marginRight]);
+
+    svg.append("g")
+      .selectAll("rect")
+      .data(color.range())
+      .join("rect")
+        .attr("x", (d, i) => x(i - 1))
+        .attr("y", marginTop)
+        .attr("width", (d, i) => x(i) - x(i - 1))
+        .attr("height", height - marginTop - marginBottom)
+        .attr("fill", d => d);
+
+    tickValues = d3.range(thresholds.length);
+    tickFormat = i => thresholdFormat(thresholds[i], i);
+  }
+
+  // Ordinal
+  else {
+    x = d3.scaleBand()
+        .domain(color.domain())
+        .rangeRound([marginLeft, width - marginRight]);
+
+    svg.append("g")
+      .selectAll("rect")
+      .data(color.domain())
+      .join("rect")
+        .attr("x", x)
+        .attr("y", marginTop)
+        .attr("width", Math.max(0, x.bandwidth() - 1))
+        .attr("height", height - marginTop - marginBottom)
+        .attr("fill", color);
+
+    tickAdjust = () => {};
+  }
+
+  svg.append("g")
+      .attr("transform", `translate(0,${height - marginBottom})`)
+      .call(d3.axisBottom(x)
+        .ticks(ticks, typeof tickFormat === "string" ? tickFormat : undefined)
+        .tickFormat(typeof tickFormat === "function" ? tickFormat : undefined)
+        .tickSize(tickSize)
+        .tickValues(tickValues))
+      .call(tickAdjust)
+      .call(g => g.select(".domain").remove())
+      .call(g => g.append("text")
+        .attr("x", marginLeft)
+        .attr("y", marginTop + marginBottom - height - 6)
+        .attr("fill", "currentColor")
+        .attr("text-anchor", "start")
+        .attr("font-weight", "bold")
+        .attr("class", "title")
+        .text(title));
+
+  return svg.node();
+}
+)}
+
+function _legend(Legend){return(
+function legend({color, ...options}) {
+  return Legend(color, options);
+}
+)}
+
+function _Swatches(d3,htl){return(
+function Swatches(color, {
+  columns = null,
+  format,
+  unknown: formatUnknown,
+  swatchSize = 15,
+  swatchWidth = swatchSize,
+  swatchHeight = swatchSize,
+  marginLeft = 0
+} = {}) {
+  const id = `-swatches-${Math.random().toString(16).slice(2)}`;
+  const unknown = formatUnknown == null ? undefined : color.unknown();
+  const unknowns = unknown == null || unknown === d3.scaleImplicit ? [] : [unknown];
+  const domain = color.domain().concat(unknowns);
+  if (format === undefined) format = x => x === unknown ? formatUnknown : x;
+
+  function entity(character) {
+    return `&#${character.charCodeAt(0).toString()};`;
+  }
+
+  if (columns !== null) return htl.html`<div style="display: flex; align-items: center; margin-left: ${+marginLeft}px; min-height: 33px; font: 10px sans-serif;">
+  <style>
+
+.${id}-item {
+  break-inside: avoid;
+  display: flex;
+  align-items: center;
+  padding-bottom: 1px;
+}
+
+.${id}-label {
+  white-space: nowrap;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  max-width: calc(100% - ${+swatchWidth}px - 0.5em);
+}
+
+.${id}-swatch {
+  width: ${+swatchWidth}px;
+  height: ${+swatchHeight}px;
+  margin: 0 0.5em 0 0;
+}
+
+  </style>
+  <div style=${{width: "100%", columns}}>${domain.map(value => {
+    const label = `${format(value)}`;
+    return htl.html`<div class=${id}-item>
+      <div class=${id}-swatch style=${{background: color(value)}}></div>
+      <div class=${id}-label title=${label}>${label}</div>
+    </div>`;
+  })}
+  </div>
+</div>`;
+
+  return htl.html`<div style="display: flex; align-items: center; min-height: 33px; margin-left: ${+marginLeft}px; font: 10px sans-serif;">
+  <style>
+
+.${id} {
+  display: inline-flex;
+  align-items: center;
+  margin-right: 1em;
+}
+
+.${id}::before {
+  content: "";
+  width: ${+swatchWidth}px;
+  height: ${+swatchHeight}px;
+  margin-right: 0.5em;
+  background: var(--color);
+}
+
+  </style>
+  <div>${domain.map(value => htl.html`<span class="${id}" style="--color: ${color(value)}">${format(value)}</span>`)}</div>`;
+}
+)}
+
+function _swatches(Swatches){return(
+function swatches({color, ...options}) {
+  return Swatches(color, options);
+}
+)}
+
+export default function define(runtime, observer) {
+  const main = runtime.module();
+  main.variable(observer()).define(["md"], _1);
+  main.variable(observer()).define(["Legend","d3"], _2);
+  main.variable(observer()).define(["Legend","d3"], _3);
+  main.variable(observer()).define(["Legend","d3"], _4);
+  main.variable(observer()).define(["Legend","d3"], _5);
+  main.variable(observer()).define(["Legend","d3"], _6);
+  main.variable(observer()).define(["Legend","d3"], _7);
+  main.variable(observer()).define(["Legend","d3"], _8);
+  main.variable(observer()).define(["Legend","d3"], _9);
+  main.variable(observer()).define(["Legend","d3"], _10);
+  main.variable(observer()).define(["Legend","d3"], _11);
+  main.variable(observer()).define(["Legend","d3"], _12);
+  main.variable(observer()).define(["md"], _13);
+  main.variable(observer()).define(["Swatches","d3"], _14);
+  main.variable(observer()).define(["Swatches","d3"], _15);
+  main.variable(observer()).define(["md"], _16);
+  main.variable(observer("Legend")).define("Legend", ["d3"], _Legend);
+  main.variable(observer("legend")).define("legend", ["Legend"], _legend);
+  main.variable(observer("Swatches")).define("Swatches", ["d3","htl"], _Swatches);
+  main.variable(observer("swatches")).define("swatches", ["Swatches"], _swatches);
+  return main;
+}

node_modules/commarcdiag/index.html

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+<!DOCTYPE html>
+<meta charset="utf-8">
+<title>Untitled</title>
+<link rel="stylesheet" type="text/css" href="./inspector.css">
+<body>
+<script type="module">
+
+import define from "./index.js";
+import {Runtime, Library, Inspector} from "./runtime.js";
+
+const runtime = new Runtime();
+const main = runtime.module(define, Inspector.into(document.body));
+
+</script>

node_modules/commarcdiag/index.js

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+export {default} from "./d019e1db56ab1d8c@1159.js";

node_modules/commarcdiag/inspector.css

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+:root{--syntax_normal:#1b1e23;--syntax_comment:#a9b0bc;--syntax_number:#20a5ba;--syntax_keyword:#c30771;--syntax_atom:#10a778;--syntax_string:#008ec4;--syntax_error:#ffbedc;--syntax_unknown_variable:#838383;--syntax_known_variable:#005f87;--syntax_matchbracket:#20bbfc;--syntax_key:#6636b4;--mono_fonts:82%/1.5 Menlo,Consolas,monospace}.observablehq--collapsed,.observablehq--expanded,.observablehq--function,.observablehq--gray,.observablehq--import,.observablehq--string:after,.observablehq--string:before{color:var(--syntax_normal)}.observablehq--collapsed,.observablehq--inspect a{cursor:pointer}.observablehq--field{text-indent:-1em;margin-left:1em}.observablehq--empty{color:var(--syntax_comment)}.observablehq--blue,.observablehq--keyword{color:#3182bd}.observablehq--forbidden,.observablehq--pink{color:#e377c2}.observablehq--orange{color:#e6550d}.observablehq--boolean,.observablehq--null,.observablehq--undefined{color:var(--syntax_atom)}.observablehq--bigint,.observablehq--date,.observablehq--green,.observablehq--number,.observablehq--regexp,.observablehq--symbol{color:var(--syntax_number)}.observablehq--index,.observablehq--key{color:var(--syntax_key)}.observablehq--prototype-key{color:#aaa}.observablehq--empty{font-style:oblique}.observablehq--purple,.observablehq--string{color:var(--syntax_string)}.observablehq--error,.observablehq--red{color:#e7040f}.observablehq--inspect{font:var(--mono_fonts);overflow-x:auto;display:block;white-space:pre}.observablehq--error .observablehq--inspect{word-break:break-all;white-space:pre-wrap}

node_modules/commarcdiag/package.json

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+{
+  "name": "@cesare/commarcdiag",
+  "main": "d019e1db56ab1d8c@1159.js",
+  "version": "1159.0.0",
+  "homepage": "https://observablehq.com/@cesare/commarcdiag",
+  "author": {
+    "name": "cesare concordia",
+    "url": "https://observablehq.com/@cesare"
+  },
+  "type": "module",
+  "peerDependencies": {
+    "@observablehq/runtime": "4 - 5"
+  }
+}