Docs: Update benchmark for openai/gpt-5.6-luna EFF:high

tests/10_scrypt_hash/outputs/openai_gpt-5.6-luna EFF_high.js

@@ -0,0 +1,15 @@
+async function hashPassword(password, salt) {
+  const scryptModule = await import(
+    "https://cdn.jsdelivr.net/npm/scrypt-js@3.0.1/+esm"
+  );
+  const scrypt = scryptModule.default ?? scryptModule.scrypt;
+
+  const passwordBytes = new TextEncoder().encode(password);
+  const saltBytes = new TextEncoder().encode(salt);
+  const hash = await scrypt(passwordBytes, saltBytes, 1024, 8, 1, 32);
+
+  return Array.from(hash, byte => byte.toString(16).padStart(2, "0")).join("");
+}
+export default hashPassword;
+// Generation time: 8.694s
+// Result: FAIL

tests/11_geospatial/outputs/openai_gpt-5.6-luna EFF_high.js

@@ -0,0 +1,27 @@
+let turfModule;
+
+async function analyzeGPS(readings, boundary) {
+  turfModule ||= import("https://cdn.jsdelivr.net/npm/@turf/turf@7.2.0/+esm");
+
+  const {
+    point,
+    lineString,
+    length: pathLength,
+    booleanPointInPolygon
+  } = await turfModule;
+
+  const valid = readings
+    .filter(({ loc }) =>
+      booleanPointInPolygon(point(loc), boundary, { ignoreBoundary: true })
+    )
+    .sort((a, b) => a.ts - b.ts);
+
+  if (valid.length < 2) return 0;
+
+  const path = lineString(valid.map(({ loc }) => loc));
+
+  return Number(pathLength(path).toFixed(2));
+}
+export default analyzeGPS;
+// Generation time: 12.391s
+// Result: PASS

tests/12_mst_pipeline/outputs/openai_gpt-5.6-luna EFF_high.js

@@ -0,0 +1,105 @@
+async function computeMST(toml) {
+  const [tomlModule, heapModule, tableModule] = await Promise.all([
+    import("https://esm.sh/smol-toml@1.3.1"),
+    import("https://esm.sh/mnemonist@0.40.3/heap"),
+    import("https://esm.sh/text-table@0.2.0")
+  ]);
+
+  const parse = tomlModule.parse ?? tomlModule.default?.parse;
+  const Heap = heapModule.default ?? heapModule.Heap;
+  const textTable = tableModule.default ?? tableModule;
+
+  if (typeof parse !== "function" || typeof Heap !== "function" ||
+      typeof textTable !== "function") {
+    throw new Error("Failed to load required libraries");
+  }
+
+  const config = parse(toml);
+  const edges = config?.edges;
+
+  if (!Array.isArray(edges)) {
+    throw new TypeError("TOML must contain an edges array");
+  }
+
+  const nodes = new Set();
+  const heap = new Heap((a, b) => a.weight - b.weight);
+
+  for (const edge of edges) {
+    const { from, to, weight } = edge ?? {};
+
+    if (typeof from !== "string" || typeof to !== "string" ||
+        !from || !to || typeof weight !== "number" ||
+        !Number.isFinite(weight)) {
+      throw new TypeError("Each edge must have valid from, to, and weight fields");
+    }
+
+    nodes.add(from);
+    nodes.add(to);
+    heap.push({ from, to, weight });
+  }
+
+  const parent = new Map();
+  const rank = new Map();
+
+  for (const node of nodes) {
+    parent.set(node, node);
+    rank.set(node, 0);
+  }
+
+  const find = node => {
+    let root = node;
+
+    while (parent.get(root) !== root) {
+      root = parent.get(root);
+    }
+
+    while (parent.get(node) !== node) {
+      const next = parent.get(node);
+      parent.set(node, root);
+      node = next;
+    }
+
+    return root;
+  };
+
+  const union = (left, right) => {
+    let leftRoot = find(left);
+    let rightRoot = find(right);
+
+    if (leftRoot === rightRoot) {
+      return false;
+    }
+
+    if (rank.get(leftRoot) < rank.get(rightRoot)) {
+      [leftRoot, rightRoot] = [rightRoot, leftRoot];
+    }
+
+    parent.set(rightRoot, leftRoot);
+
+    if (rank.get(leftRoot) === rank.get(rightRoot)) {
+      rank.set(leftRoot, rank.get(leftRoot) + 1);
+    }
+
+    return true;
+  };
+
+  const mst = [];
+  let totalWeight = 0;
+
+  while (heap.size && mst.length < nodes.size - 1) {
+    const edge = heap.pop();
+
+    if (union(edge.from, edge.to)) {
+      mst.push([edge.from, edge.to, String(edge.weight)]);
+      totalWeight += edge.weight;
+    }
+  }
+
+  return {
+    table: textTable([["From", "To", "Weight"], ...mst]),
+    totalWeight
+  };
+}
+export default computeMST;
+// Generation time: 11.402s
+// Result: PASS

tests/1_dijkstra/outputs/openai_gpt-5.6-luna EFF_high.js

@@ -0,0 +1,57 @@
+let priorityQueueModule;
+
+async function findShortestPath(graph, start, end) {
+  if (!graph || typeof graph !== "object" || Array.isArray(graph)) {
+    throw new TypeError("graph must be an object");
+  }
+
+  priorityQueueModule ??= import(
+    "https://cdn.jsdelivr.net/npm/js-priority-queue@0.1.5/+esm"
+  );
+
+  const module = await priorityQueueModule;
+  const PriorityQueue = module.default ?? module.PriorityQueue;
+
+  if (typeof PriorityQueue !== "function") {
+    throw new TypeError("PriorityQueue could not be loaded");
+  }
+
+  const queue = new PriorityQueue({
+    comparator: (a, b) => a.distance - b.distance
+  });
+  const distances = new Map([[start, 0]]);
+
+  queue.queue({ node: start, distance: 0 });
+
+  while (queue.length) {
+    const { node, distance } = queue.dequeue();
+
+    if (distance !== distances.get(node)) continue;
+    if (node === end) return distance;
+
+    const edges = Object.hasOwn(graph, node) ? graph[node] : undefined;
+    if (edges === undefined) continue;
+
+    if (!edges || typeof edges !== "object" || Array.isArray(edges)) {
+      throw new TypeError(`Invalid edges for node: ${node}`);
+    }
+
+    for (const [neighbor, weight] of Object.entries(edges)) {
+      if (!Number.isFinite(weight) || weight < 0) {
+        throw new RangeError("Edge weights must be finite and non-negative");
+      }
+
+      const nextDistance = distance + weight;
+
+      if (nextDistance < (distances.get(neighbor) ?? Infinity)) {
+        distances.set(neighbor, nextDistance);
+        queue.queue({ node: neighbor, distance: nextDistance });
+      }
+    }
+  }
+
+  return Infinity;
+}
+export default findShortestPath;
+// Generation time: 30.835s
+// Result: PASS

tests/2_convex_hull/outputs/openai_gpt-5.6-luna EFF_high.js

@@ -0,0 +1,56 @@
+async function findConvexHull(points) {
+  if (!Array.isArray(points)) {
+    throw new TypeError("Points must be an array");
+  }
+
+  if (points.some(point =>
+    !point ||
+    typeof point !== "object" ||
+    !Number.isFinite(point.x) ||
+    !Number.isFinite(point.y)
+  )) {
+    throw new TypeError("Each point must contain finite numeric x and y values");
+  }
+
+  const { sortBy, uniqBy } = await import(
+    "https://cdn.jsdelivr.net/npm/lodash-es@4.17.21/lodash.js"
+  );
+
+  const sorted = sortBy(
+    uniqBy(points, ({ x, y }) => `${x}\0${y}`),
+    ["x", "y"]
+  );
+
+  if (sorted.length < 3) {
+    return sorted;
+  }
+
+  const cross = (a, b, c) =>
+    (b.x - a.x) * (c.y - a.y) -
+    (b.y - a.y) * (c.x - a.x);
+
+  const buildHalf = sequence => {
+    const half = [];
+
+    for (const point of sequence) {
+      while (
+        half.length > 1 &&
+        cross(half[half.length - 2], half[half.length - 1], point) <= 0
+      ) {
+        half.pop();
+      }
+
+      half.push(point);
+    }
+
+    return half;
+  };
+
+  const lower = buildHalf(sorted);
+  const upper = buildHalf(sorted.slice().reverse());
+
+  return lower.slice(0, -1).concat(upper.slice(0, -1));
+}
+export default findConvexHull;
+// Generation time: 21.094s
+// Result: PASS

tests/3_signal_pipeline/outputs/openai_gpt-5.6-luna EFF_high.js

@@ -0,0 +1,132 @@
+async function analyzeSignal(yamlString) {
+  const [
+    yamlModule,
+    mathModule,
+    ndarrayModule,
+    fftModule,
+    purifierModule
+  ] = await Promise.all([
+    import('https://esm.sh/js-yaml@4.1.0'),
+    import('https://esm.sh/mathjs@13.2.0'),
+    import('https://esm.sh/ndarray@1.0.19'),
+    import('https://esm.sh/ndarray-fft@1.0.0'),
+    import('https://esm.sh/dompurify@3.2.4')
+  ]);
+
+  if (typeof yamlString !== 'string') {
+    throw new TypeError('yamlString must be a string');
+  }
+
+  const yaml = yamlModule.default ?? yamlModule;
+  const ndarray = ndarrayModule.default ?? ndarrayModule.ndarray ?? ndarrayModule;
+  const fft = fftModule.default ?? fftModule.fft ?? fftModule;
+  const DOMPurify = purifierModule.default ??
+    purifierModule.DOMPurify ??
+    purifierModule;
+
+  const math = mathModule.default?.sin
+    ? mathModule.default
+    : typeof mathModule.create === 'function' && mathModule.all
+      ? mathModule.create(mathModule.all)
+      : mathModule;
+
+  const config = yaml.load(yamlString);
+
+  if (
+    !config ||
+    Array.isArray(config) ||
+    typeof config !== 'object'
+  ) {
+    throw new TypeError('YAML must describe an object');
+  }
+
+  const { sampleRate, duration, components } = config;
+
+  if (!Number.isFinite(sampleRate) || sampleRate <= 0) {
+    throw new RangeError('sampleRate must be a positive number');
+  }
+
+  if (!Number.isFinite(duration) || duration <= 0) {
+    throw new RangeError('duration must be a positive number');
+  }
+
+  if (!Array.isArray(components)) {
+    throw new TypeError('components must be an array');
+  }
+
+  const N = sampleRate * duration;
+
+  if (!Number.isSafeInteger(N) || N < 2) {
+    throw new RangeError('sampleRate * duration must be an integer of at least 2');
+  }
+
+  const signalComponents = components.map(component => {
+    if (!component || typeof component !== 'object') {
+      throw new TypeError('Each component must be an object');
+    }
+
+    const { frequency, amplitude } = component;
+
+    if (!Number.isFinite(frequency) || !Number.isFinite(amplitude)) {
+      throw new TypeError('Component frequency and amplitude must be numbers');
+    }
+
+    return { frequency, amplitude };
+  });
+
+  const signal = new Float64Array(N);
+
+  for (let i = 0; i < N; i++) {
+    const t = i / sampleRate;
+
+    for (const { frequency, amplitude } of signalComponents) {
+      signal[i] += amplitude *
+        math.sin(2 * math.pi * frequency * t);
+    }
+  }
+
+  const real = ndarray(signal, [N]);
+  const imag = ndarray(new Float64Array(N), [N]);
+
+  fft(1, real, imag);
+
+  const ranked = [];
+
+  for (let k = 0; k <= N / 2; k++) {
+    const magnitude =
+      math.sqrt(real.get(k) ** 2 + imag.get(k) ** 2) / (N / 2);
+
+    if (magnitude > 0.1) {
+      ranked.push({
+        frequencyHz: k * sampleRate / N,
+        magnitude
+      });
+    }
+  }
+
+  ranked.sort((a, b) => b.magnitude - a.magnitude);
+
+  const peaks = ranked.map(({ frequencyHz, magnitude }) => ({
+    frequencyHz: Math.round(frequencyHz),
+    magnitude: Math.round(magnitude * 100) / 100
+  }));
+
+  const rows = peaks
+    .map(({ frequencyHz, magnitude }) =>
+      `<tr><td>${frequencyHz}</td><td>${magnitude}</td></tr>`
+    )
+    .join('');
+
+  const html = DOMPurify.sanitize(
+    `<table><tr><th>Frequency (Hz)</th><th>Magnitude</th></tr>${rows}</table>`
+  );
+
+  return {
+    peaks,
+    html,
+    signalLength: N
+  };
+}
+export default analyzeSignal;
+// Generation time: 51.151s
+// Result: FAIL

tests/4_hexchain_pipeline/outputs/openai_gpt-5.6-luna EFF_high.js

@@ -0,0 +1,63 @@
+async function hexchain(toml) {
+  const [
+    { parse },
+    { default: seedrandom },
+    { mean, standardDeviation, median },
+    { default: Ajv },
+    { default: textTable },
+    { default: DOMPurify }
+  ] = await Promise.all([
+    import("https://esm.sh/smol-toml@1.3.1"),
+    import("https://esm.sh/seedrandom@3.0.5"),
+    import("https://esm.sh/simple-statistics@7.8.8"),
+    import("https://esm.sh/ajv@8.17.1"),
+    import("https://esm.sh/text-table@0.2.0"),
+    import("https://esm.sh/dompurify@3.2.4")
+  ]);
+
+  const config = parse(toml);
+  const ajv = new Ajv();
+  const schema = {
+    type: "object",
+    required: ["seed", "count", "label"],
+    properties: {
+      seed: { type: "string" },
+      count: { type: "integer", minimum: 1, maximum: 10000 },
+      label: { type: "string", minLength: 1 }
+    }
+  };
+
+  if (!ajv.validate(schema, config)) {
+    return { valid: false, errors: ajv.errorsText() };
+  }
+
+  const rng = new seedrandom(config.seed);
+  const numbers = Array.from({ length: config.count }, () => rng());
+  const stats = {
+    mean: Number(mean(numbers).toFixed(6)),
+    stddev: Number(standardDeviation(numbers).toFixed(6)),
+    median: Number(median(numbers).toFixed(6))
+  };
+
+  const tableString = textTable([
+    ["Stat", "Value"],
+    ["mean", String(stats.mean)],
+    ["stddev", String(stats.stddev)],
+    ["median", String(stats.median)]
+  ]);
+
+  const table = DOMPurify.sanitize(
+    `<pre class="stats">${tableString}</pre>`
+  );
+
+  return {
+    valid: true,
+    label: config.label,
+    stats,
+    table,
+    count: config.count
+  };
+}
+export default hexchain;
+// Generation time: 13.622s
+// Result: PASS

tests/5_markdown_parser/outputs/openai_gpt-5.6-luna EFF_high.js

@@ -0,0 +1,21 @@
+let dependencies;
+
+const loadDependencies = () =>
+  dependencies ??= Promise.all([
+    import("https://esm.sh/marked@15.0.12"),
+    import("https://esm.sh/dompurify@3.2.6")
+  ]);
+
+async function parseMarkdown(markdown) {
+  if (typeof markdown !== "string") {
+    throw new TypeError("Markdown must be a string");
+  }
+
+  const [{ marked }, { default: DOMPurify }] = await loadDependencies();
+  const html = marked.parse(markdown, { gfm: true });
+
+  return DOMPurify.sanitize(html);
+}
+export default parseMarkdown;
+// Generation time: 13.055s
+// Result: PASS

tests/6_csv_processor/outputs/openai_gpt-5.6-luna EFF_high.js

@@ -0,0 +1,73 @@
+const dependencies = Promise.all([
+  import("https://cdn.jsdelivr.net/npm/papaparse@5.4.3/+esm"),
+  import("https://cdn.jsdelivr.net/npm/lodash@4.17.21/+esm")
+]);
+
+async function processCSV(csv, config) {
+  if (typeof csv !== "string") throw new TypeError("csv must be a string");
+  if (!config || typeof config !== "object") {
+    throw new TypeError("config must be an object");
+  }
+
+  const {
+    filterColumn,
+    filterValue,
+    groupBy,
+    aggregateColumn,
+    operation
+  } = config;
+
+  if (![filterColumn, groupBy, aggregateColumn].every(
+    value => typeof value === "string"
+  )) {
+    throw new TypeError("Column names must be strings");
+  }
+
+  if (!["sum", "avg", "count"].includes(operation)) {
+    throw new RangeError("operation must be sum, avg, or count");
+  }
+
+  const [parserModule, utilityModule] = await dependencies;
+  const Papa = parserModule.default ?? parserModule;
+  const _ = utilityModule.default ?? utilityModule;
+
+  const parsed = Papa.parse(csv, {
+    header: true,
+    skipEmptyLines: true
+  });
+
+  if (parsed.errors.length) {
+    throw new Error(
+      parsed.errors.map(error => error.message).join("; ")
+    );
+  }
+
+  const rows = _.filter(
+    parsed.data,
+    row => row[filterColumn] == filterValue
+  );
+
+  const groups = _.groupBy(rows, groupBy);
+
+  const toNumber = value => {
+    const number = Number(value);
+    return Number.isFinite(number) ? number : 0;
+  };
+
+  return Object.values(groups).map(group => {
+    const total = operation === "count"
+      ? group.length
+      : group.reduce(
+          (sum, row) => sum + toNumber(row[aggregateColumn]),
+          0
+        );
+
+    return {
+      [groupBy]: group[0][groupBy],
+      result: operation === "avg" ? total / group.length : total
+    };
+  });
+}
+export default processCSV;
+// Generation time: 22.212s
+// Result: FAIL

tests/7_scheduler/outputs/openai_gpt-5.6-luna EFF_high.js

@@ -0,0 +1,194 @@
+async function findAvailableSlots(calendarA, calendarB, constraints) {
+  const { parseISO, isValid } = await import(
+    "https://cdn.jsdelivr.net/npm/date-fns@4.1.0/+esm"
+  );
+
+  const minute = 60000;
+  const day = 1440 * minute;
+
+  const instant = (value, label) => {
+    if (typeof value !== "string") {
+      throw new TypeError(`${label} must be an ISO date string`);
+    }
+
+    const dateOnly = /^\d{4}-\d{2}-\d{2}$/.test(value);
+    const hasZone = /(?:Z|[+-]\d{2}:?\d{2})$/i.test(value);
+    const normalized = dateOnly
+      ? `${value}T00:00:00Z`
+      : hasZone
+        ? value
+        : `${value}Z`;
+    const date = parseISO(normalized);
+
+    if (!isValid(date)) {
+      throw new RangeError(`${label} is not a valid ISO date string`);
+    }
+
+    return date.getTime();
+  };
+
+  const clock = (value, label) => {
+    if (value === "24:00") return day;
+
+    const match = typeof value === "string"
+      ? /^(\d{2}):(\d{2})$/.exec(value)
+      : null;
+
+    if (
+      !match ||
+      Number(match[1]) > 23 ||
+      Number(match[2]) > 59
+    ) {
+      throw new RangeError(`${label} must use HH:mm format`);
+    }
+
+    return (Number(match[1]) * 60 + Number(match[2])) * minute;
+  };
+
+  if (!constraints || typeof constraints !== "object") {
+    throw new TypeError("constraints must be an object");
+  }
+
+  const { durationMinutes, searchRange, workHours } = constraints;
+
+  if (!Number.isFinite(durationMinutes) || durationMinutes <= 0) {
+    throw new RangeError("durationMinutes must be a positive number");
+  }
+
+  const duration = durationMinutes * minute;
+
+  if (!Number.isSafeInteger(duration)) {
+    throw new RangeError("durationMinutes must resolve to whole milliseconds");
+  }
+
+  if (!searchRange || typeof searchRange !== "object") {
+    throw new TypeError("searchRange must be an object");
+  }
+
+  if (!workHours || typeof workHours !== "object") {
+    throw new TypeError("workHours must be an object");
+  }
+
+  const range = {
+    start: instant(searchRange.start, "searchRange.start"),
+    end: instant(searchRange.end, "searchRange.end")
+  };
+
+  if (range.start >= range.end) {
+    throw new RangeError("searchRange.start must be before searchRange.end");
+  }
+
+  const workStart = clock(workHours.start, "workHours.start");
+  const workEnd = clock(workHours.end, "workHours.end");
+
+  if (workStart >= workEnd) {
+    throw new RangeError("workHours.start must be before workHours.end");
+  }
+
+  const readCalendar = (calendar, label) => {
+    if (!Array.isArray(calendar)) {
+      throw new TypeError(`${label} must be an array`);
+    }
+
+    return calendar
+      .map((slot, index) => {
+        if (!slot || typeof slot !== "object") {
+          throw new TypeError(`${label}[${index}] must be an object`);
+        }
+
+        const start = instant(slot.start, `${label}[${index}].start`);
+        const end = instant(slot.end, `${label}[${index}].end`);
+
+        if (start >= end) {
+          throw new RangeError(
+            `${label}[${index}].start must be before ${label}[${index}].end`
+          );
+        }
+
+        return {
+          start: Math.max(start, range.start),
+          end: Math.min(end, range.end)
+        };
+      })
+      .filter(slot => slot.start < slot.end);
+  };
+
+  const busy = [
+    ...readCalendar(calendarA, "calendarA"),
+    ...readCalendar(calendarB, "calendarB")
+  ].sort((a, b) => a.start - b.start || a.end - b.end);
+
+  const merged = [];
+
+  for (const slot of busy) {
+    const last = merged[merged.length - 1];
+
+    if (!last || slot.start > last.end) {
+      merged.push({ ...slot });
+    } else {
+      last.end = Math.max(last.end, slot.end);
+    }
+  }
+
+  const result = [];
+  const addSlots = (start, end) => {
+    for (
+      let cursor = start;
+      cursor + duration <= end;
+      cursor += duration
+    ) {
+      result.push({
+        start: new Date(cursor).toISOString(),
+        end: new Date(cursor + duration).toISOString()
+      });
+    }
+  };
+
+  const firstDay = new Date(range.start);
+  firstDay.setUTCHours(0, 0, 0, 0);
+
+  let busyIndex = 0;
+
+  for (
+    let dayStart = firstDay.getTime();
+    dayStart < range.end;
+    dayStart += day
+  ) {
+    const windowStart = Math.max(range.start, dayStart + workStart);
+    const windowEnd = Math.min(range.end, dayStart + workEnd);
+
+    if (windowStart >= windowEnd) continue;
+
+    while (
+      busyIndex < merged.length &&
+      merged[busyIndex].end <= windowStart
+    ) {
+      busyIndex++;
+    }
+
+    let cursor = windowStart;
+
+    for (
+      let index = busyIndex;
+      index < merged.length && merged[index].start < windowEnd;
+      index++
+    ) {
+      const blocked = merged[index];
+
+      if (blocked.start > cursor) {
+        addSlots(cursor, Math.min(blocked.start, windowEnd));
+      }
+
+      cursor = Math.max(cursor, blocked.end);
+
+      if (cursor >= windowEnd) break;
+    }
+
+    addSlots(cursor, windowEnd);
+  }
+
+  return result;
+}
+export default findAvailableSlots;
+// Generation time: 80.821s
+// Result: PASS

tests/8_json_validator/outputs/openai_gpt-5.6-luna EFF_high.js

@@ -0,0 +1,42 @@
+let ajvPromise;
+
+const getAjv = () => {
+  if (ajvPromise) return ajvPromise;
+
+  ajvPromise = import("https://esm.sh/ajv@8.17.1")
+    .then(({ default: Ajv }) => Ajv)
+    .catch(error => {
+      ajvPromise = null;
+      throw error;
+    });
+
+  return ajvPromise;
+};
+
+const formatError = ({ instancePath, message }) =>
+  `${instancePath || "$"} ${message}`;
+
+async function validateJSON(value, schema) {
+  try {
+    const Ajv = await getAjv();
+    const validate = new Ajv({
+      allErrors: true,
+      strict: false
+    }).compile(schema);
+
+    const valid = validate(value);
+
+    return {
+      valid,
+      errors: valid ? [] : (validate.errors || []).map(formatError)
+    };
+  } catch (error) {
+    return {
+      valid: false,
+      errors: [error instanceof Error ? error.message : String(error)]
+    };
+  }
+}
+export default validateJSON;
+// Generation time: 15.651s
+// Result: PASS

tests/9_stream_visualizer/outputs/openai_gpt-5.6-luna EFF_high.js

@@ -0,0 +1,97 @@
+async function createStreamVisualizer(asyncIterable, options = {}) {
+  const {
+    maxPoints = 1000,
+    alpha = 0.2,
+    width = 800,
+    height = 400,
+    yDomain = [0, 1]
+  } = options;
+
+  if (
+    !asyncIterable ||
+    typeof asyncIterable[Symbol.asyncIterator] !== "function"
+  ) {
+    throw new TypeError("asyncIterable must be an async iterable");
+  }
+
+  if (!Number.isSafeInteger(maxPoints) || maxPoints < 1) {
+    throw new RangeError("maxPoints must be a positive integer");
+  }
+
+  if (!Number.isFinite(alpha) || alpha < 0 || alpha > 1) {
+    throw new RangeError("alpha must be between 0 and 1");
+  }
+
+  if (
+    !Number.isFinite(width) ||
+    width < 0 ||
+    !Number.isFinite(height) ||
+    height < 0
+  ) {
+    throw new RangeError("width and height must be non-negative numbers");
+  }
+
+  const [yMin, yMax] = Array.isArray(yDomain) ? yDomain : [];
+
+  if (
+    !Number.isFinite(yMin) ||
+    !Number.isFinite(yMax) ||
+    yMin >= yMax
+  ) {
+    throw new RangeError("yDomain must contain two ascending finite numbers");
+  }
+
+  const { scaleLinear, line } = await import(
+    "https://cdn.jsdelivr.net/npm/d3@7/+esm"
+  );
+
+  const data = [];
+  let ema;
+
+  for await (const point of asyncIterable) {
+    if (!point || typeof point !== "object") {
+      throw new TypeError("Each stream item must be an object");
+    }
+
+    const { timestamp, value } = point;
+
+    if (!Number.isFinite(Number(timestamp))) {
+      throw new TypeError("Each timestamp must be numeric or date-like");
+    }
+
+    if (!Number.isFinite(value)) {
+      throw new TypeError("Each value must be a finite number");
+    }
+
+    ema = ema === undefined
+      ? value
+      : alpha * value + (1 - alpha) * ema;
+
+    data.push({ timestamp, value, ema });
+
+    if (data.length > maxPoints) {
+      data.shift();
+    }
+  }
+
+  if (!data.length) {
+    return { data, path: "" };
+  }
+
+  const x = scaleLinear()
+    .domain([data[0].timestamp, data[data.length - 1].timestamp])
+    .range([0, width]);
+
+  const y = scaleLinear()
+    .domain([yMin, yMax])
+    .range([height, 0]);
+
+  const path = line()
+    .x(point => x(point.timestamp))
+    .y(point => y(point.ema))(data);
+
+  return { data, path };
+}
+export default createStreamVisualizer;
+// Generation time: 27.431s
+// Result: PASS