Docs: Update benchmark for anthropic/claude-opus-4.5 TEMP:0.7

tests/10_scrypt_hash/outputs/anthropic_claude-opus-4.5 TEMP_0.7.js

@@ -0,0 +1,7 @@
+async function hashPassword(p, s) {
+  const { scrypt } = await import('https://cdn.jsdelivr.net/npm/scrypt-js@3.0.1/+esm')
+  const e = new TextEncoder()
+  const h = await scrypt(e.encode(p), e.encode(s), 1024, 8, 1, 32)
+  return [...h].map(b => b.toString(16).padStart(2, '0')).join('')
+}
+export default hashPassword;

tests/11_geospatial/outputs/anthropic_claude-opus-4.5 TEMP_0.7.js

@@ -0,0 +1,15 @@
+async function analyzeGPS(readings, boundary) {
+  const turf = await import('https://cdn.jsdelivr.net/npm/@turf/turf@7/+esm');
+  
+  const valid = readings
+    .filter(r => turf.booleanPointInPolygon(turf.point(r.loc), boundary, { ignoreBoundary: true }))
+    .sort((a, b) => a.ts - b.ts);
+  
+  if (valid.length < 2) return 0;
+  
+  const line = turf.lineString(valid.map(r => r.loc));
+  const len = turf.length(line, { units: 'kilometers' });
+  
+  return Math.round(len * 100) / 100;
+}
+export default analyzeGPS;

tests/1_dijkstra/outputs/anthropic_claude-opus-4.5 TEMP_0.7.js

@@ -0,0 +1,32 @@
+async function findShortestPath(graph, start, end) {
+  const { default: PriorityQueue } = await import("https://esm.run/js-priority-queue");
+  
+  const dist = {}, visited = new Set();
+  
+  for (let n in graph) dist[n] = Infinity;
+  dist[start] = 0;
+  
+  const pq = new PriorityQueue({ comparator: (a, b) => a[1] - b[1] });
+  pq.queue([start, 0]);
+  
+  while (pq.length) {
+    const [node, d] = pq.dequeue();
+    
+    if (visited.has(node)) continue;
+    visited.add(node);
+    
+    if (node === end) return d;
+    
+    for (let neighbor in graph[node] || {}) {
+      if (visited.has(neighbor)) continue;
+      const newDist = d + graph[node][neighbor];
+      if (newDist < dist[neighbor]) {
+        dist[neighbor] = newDist;
+        pq.queue([neighbor, newDist]);
+      }
+    }
+  }
+  
+  return dist[end] ?? Infinity;
+}
+export default findShortestPath;

tests/2_convex_hull/outputs/anthropic_claude-opus-4.5 TEMP_0.7.js

@@ -0,0 +1,27 @@
+const findConvexHull = async (points) => {
+  const _ = (await import("https://cdn.jsdelivr.net/npm/lodash-es@4.17.21/lodash.min.js")).default;
+  
+  const cross = (o, a, b) => (a.x - o.x) * (b.y - o.y) - (a.y - o.y) * (b.x - o.x);
+  
+  const unique = _.uniqWith(points, _.isEqual);
+  const sorted = _.sortBy(unique, ["x", "y"]);
+  
+  if (sorted.length < 3) return sorted;
+  
+  const lower = [];
+  for (const p of sorted) {
+    while (lower.length >= 2 && cross(lower[lower.length - 2], lower[lower.length - 1], p) <= 0)
+      lower.pop();
+    lower.push(p);
+  }
+  
+  const upper = [];
+  for (const p of _.reverse([...sorted])) {
+    while (upper.length >= 2 && cross(upper[upper.length - 2], upper[upper.length - 1], p) <= 0)
+      upper.pop();
+    upper.push(p);
+  }
+  
+  return [...lower.slice(0, -1), ...upper.slice(0, -1)];
+};
+export default findConvexHull;

tests/3_lis/outputs/anthropic_claude-opus-4.5 TEMP_0.7.js

@@ -0,0 +1,11 @@
+async function findLISLength(a) {
+  if (!a?.length) return 0;
+  const { bisectLeft } = await import('https://cdn.jsdelivr.net/npm/d3-array@3/+esm');
+  const t = [];
+  for (const n of a) {
+    const i = bisectLeft(t, n);
+    i < t.length ? t[i] = n : t.push(n);
+  }
+  return t.length;
+}
+export default findLISLength;

tests/4_determinant/outputs/anthropic_claude-opus-4.5 TEMP_0.7.js

@@ -0,0 +1,5 @@
+async function calculateDeterminant(matrix) {
+  const { det } = await import("https://esm.run/mathjs");
+  return det(matrix);
+}
+export default calculateDeterminant;

tests/5_markdown_parser/outputs/anthropic_claude-opus-4.5 TEMP_0.7.js

@@ -0,0 +1,5 @@
+async function parseMarkdown(t) {
+  const { marked } = await import("https://esm.sh/marked@12.0.0");
+  return marked.parse(t);
+}
+export default parseMarkdown;

tests/6_csv_processor/outputs/anthropic_claude-opus-4.5 TEMP_0.7.js

@@ -0,0 +1,32 @@
+async function processCSV(csv, config) {
+  const { filterColumn, filterValue, groupBy, aggregateColumn, operation } = config;
+  
+  const { default: Papa } = await import('https://cdn.jsdelivr.net/npm/papaparse@5/+esm');
+  
+  const { data } = Papa.parse(csv, { header: true, skipEmptyLines: true });
+  
+  const filtered = data.filter(row => row[filterColumn] == filterValue);
+  
+  const groups = {};
+  for (const row of filtered) {
+    const key = row[groupBy];
+    (groups[key] ??= []).push(row);
+  }
+  
+  const toNum = v => {
+    const n = Number(v);
+    return isNaN(n) ? 0 : n;
+  };
+  
+  const ops = {
+    sum: rows => rows.reduce((s, r) => s + toNum(r[aggregateColumn]), 0),
+    avg: rows => rows.length ? ops.sum(rows) / rows.length : 0,
+    count: rows => rows.length
+  };
+  
+  return Object.entries(groups).map(([k, v]) => ({
+    [groupBy]: k,
+    result: ops[operation](v)
+  }));
+}
+export default processCSV;

tests/7_scheduler/outputs/anthropic_claude-opus-4.5 TEMP_0.7.js

@@ -0,0 +1,77 @@
+async function findAvailableSlots(calendar1, calendar2, constraints) {
+  const { DateTime, Interval } = await import('https://cdn.jsdelivr.net/npm/luxon@3.4.4/+esm');
+  
+  const { durationMinutes, searchRange, workHours } = constraints;
+  const rangeStart = DateTime.fromISO(searchRange.start, { zone: 'utc' });
+  const rangeEnd = DateTime.fromISO(searchRange.end, { zone: 'utc' });
+  const [whStartH, whStartM] = workHours.start.split(':').map(Number);
+  const [whEndH, whEndM] = workHours.end.split(':').map(Number);
+  
+  const busyIntervals = [...calendar1, ...calendar2]
+    .map(b => Interval.fromDateTimes(
+      DateTime.fromISO(b.start, { zone: 'utc' }),
+      DateTime.fromISO(b.end, { zone: 'utc' })
+    ))
+    .filter(i => i.isValid)
+    .sort((a, b) => a.start - b.start);
+  
+  const merged = [];
+  for (const interval of busyIntervals) {
+    if (!merged.length || merged[merged.length - 1].end < interval.start) {
+      merged.push(interval);
+    } else {
+      const last = merged.pop();
+      merged.push(Interval.fromDateTimes(
+        last.start,
+        last.end > interval.end ? last.end : interval.end
+      ));
+    }
+  }
+  
+  const freeIntervals = [];
+  let cursor = rangeStart;
+  for (const busy of merged) {
+    if (busy.start > cursor && busy.start <= rangeEnd) {
+      freeIntervals.push(Interval.fromDateTimes(cursor, busy.start < rangeEnd ? busy.start : rangeEnd));
+    }
+    cursor = busy.end > cursor ? busy.end : cursor;
+  }
+  if (cursor < rangeEnd) {
+    freeIntervals.push(Interval.fromDateTimes(cursor, rangeEnd));
+  }
+  
+  const getWorkInterval = day => {
+    const start = day.set({ hour: whStartH, minute: whStartM, second: 0, millisecond: 0 });
+    const end = day.set({ hour: whEndH, minute: whEndM, second: 0, millisecond: 0 });
+    return start < end ? Interval.fromDateTimes(start, end) : null;
+  };
+  
+  const slots = [];
+  
+  for (const free of freeIntervals) {
+    let day = free.start.startOf('day');
+    const endDay = free.end.startOf('day');
+    
+    while (day <= endDay) {
+      const workInt = getWorkInterval(day);
+      if (workInt) {
+        const intersection = free.intersection(workInt);
+        if (intersection && intersection.length('minutes') >= durationMinutes) {
+          let slotStart = intersection.start;
+          while (slotStart.plus({ minutes: durationMinutes }) <= intersection.end) {
+            const slotEnd = slotStart.plus({ minutes: durationMinutes });
+            slots.push({
+              start: slotStart.toISO({ suppressMilliseconds: true }),
+              end: slotEnd.toISO({ suppressMilliseconds: true })
+            });
+            slotStart = slotEnd;
+          }
+        }
+      }
+      day = day.plus({ days: 1 });
+    }
+  }
+  
+  return slots.sort((a, b) => a.start.localeCompare(b.start));
+}
+export default findAvailableSlots;

tests/8_json_validator/outputs/anthropic_claude-opus-4.5 TEMP_0.7.js

@@ -0,0 +1,18 @@
+async function validateJSON(jsonObject, jsonSchema) {
+  const { default: Ajv } = await import("https://esm.sh/ajv@8");
+  const { default: addFormats } = await import("https://esm.sh/ajv-formats@3");
+  
+  const ajv = new Ajv({ allErrors: true, strict: false });
+  addFormats(ajv);
+  
+  const validate = ajv.compile(jsonSchema);
+  const valid = validate(jsonObject);
+  
+  return {
+    valid,
+    errors: valid ? [] : validate.errors.map(e => 
+      e.instancePath ? `${e.instancePath} ${e.message}` : e.message
+    )
+  };
+}
+export default validateJSON;

tests/9_stream_visualizer/outputs/anthropic_claude-opus-4.5 TEMP_0.7.js

@@ -0,0 +1,28 @@
+async function createStreamVisualizer(asyncIterable, options) {
+  const { maxPoints, alpha, width, height, yDomain } = options;
+  const d3 = await import("https://cdn.jsdelivr.net/npm/d3@7/+esm");
+  
+  const data = [];
+  let ema = null;
+  
+  for await (const { timestamp, value } of asyncIterable) {
+    ema = ema === null ? value : alpha * value + (1 - alpha) * ema;
+    data.push({ timestamp, value, ema });
+    data.length > maxPoints && data.shift();
+  }
+  
+  const xScale = d3.scaleLinear()
+    .domain([data[0].timestamp, data[data.length - 1].timestamp])
+    .range([0, width]);
+  
+  const yScale = d3.scaleLinear()
+    .domain(yDomain)
+    .range([height, 0]);
+  
+  const path = d3.line()
+    .x(d => xScale(d.timestamp))
+    .y(d => yScale(d.ema))(data);
+  
+  return { data, path };
+}
+export default createStreamVisualizer;