Docs: Update benchmark for openrouter/bert-nebulon-alpha

tests/10_scrypt_hash/outputs/openrouter_bert-nebulon-alpha.js

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+const hashPassword = async (password, salt) => {
+  const { scrypt } = await import('https://cdn.jsdelivr.net/npm/scrypt-js@3.0.1/scrypt.min.js')
+  const encoder = new TextEncoder()
+  const passwordBytes = encoder.encode(password)
+  const saltBytes = encoder.encode(salt)
+
+  const hashBytes = await scrypt(passwordBytes, saltBytes, 1024, 8, 1, 32)
+  return Array.from(hashBytes)
+    .map(b => b.toString(16).padStart(2, '0'))
+    .join('')
+}
+export default hashPassword;

tests/11_geospatial/outputs/openrouter_bert-nebulon-alpha.js

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+export const analyzeGPS = async (readings, boundary) => {
+  const { default: turf } = await import('https://unpkg.com/@turf/turf@6/turf.min.js')
+
+  const inside = readings.filter(({ loc }) =>
+    turf.booleanPointInPolygon(turf.point(loc), boundary, { ignoreBoundary: false })
+  )
+
+  if (inside.length < 2) return 0
+
+  const sorted = inside.sort((a, b) => a.ts - b.ts)
+  const line = turf.lineString(sorted.map(({ loc }) => loc))
+  const length = turf.length(line, { units: 'kilometers' })
+
+  return Math.round(length * 100) / 100
+}
+export default analyzeGPS;

tests/1_dijkstra/outputs/openrouter_bert-nebulon-alpha.js

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+const findShortestPath = async (graph, start, end) => {
+  const { default: PriorityQueue } = await import('https://cdn.jsdelivr.net/npm/js-priority-queue@1.0.0/+esm')
+
+  if (!graph[start] || !graph[end]) return Infinity
+
+  const distances = Object.keys(graph).reduce((acc, node) => {
+    acc[node] = node === start ? 0 : Infinity
+    return acc
+  }, {})
+
+  const pq = new PriorityQueue({ comparator: (a, b) => a.distance - b.distance })
+  pq.queue({ node: start, distance: 0 })
+
+  const visited = new Set()
+
+  while (pq.length) {
+    const { node, distance } = pq.dequeue()
+
+    if (node === end) return distance
+    if (visited.has(node)) continue
+
+    visited.add(node)
+
+    Object.entries(graph[node]).forEach(([neighbor, weight]) => {
+      if (visited.has(neighbor)) return
+
+      const newDistance = distance + weight
+      if (newDistance < distances[neighbor]) {
+        distances[neighbor] = newDistance
+        pq.queue({ node: neighbor, distance: newDistance })
+      }
+    })
+  }
+
+  return Infinity
+}
+export default findShortestPath;

tests/2_convex_hull/outputs/openrouter_bert-nebulon-alpha.js

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+const findConvexHull = async points => {
+  const { sortBy, uniqWith, isEqual } = await import('https://cdn.skypack.dev/lodash')
+
+  const cross = (o, a, b) => (a.x - o.x) * (b.y - o.y) - (a.y - o.y) * (b.x - o.x)
+
+  const preparePoints = pts => {
+    const unique = uniqWith(pts, isEqual)
+    return sortBy(unique, ['x', 'y'])
+  }
+
+  const buildHull = pts => {
+    const hull = []
+
+    for (const p of pts) {
+      while (hull.length >= 2 && cross(hull[hull.length - 2], hull[hull.length - 1], p) <= 0) {
+        hull.pop()
+      }
+      hull.push(p)
+    }
+
+    const lowerHullSize = hull.length + 1
+    for (let i = pts.length - 1; i >= 0; i--) {
+      const p = pts[i]
+      while (hull.length >= lowerHullSize && cross(hull[hull.length - 2], hull[hull.length - 1], p) <= 0) {
+        hull.pop()
+      }
+      hull.push(p)
+    }
+
+    hull.pop()
+    return hull
+  }
+
+  if (points.length < 3) return [...points]
+  const prepared = preparePoints(points)
+  return buildHull(prepared)
+}
+export default findConvexHull;

tests/3_lis/outputs/openrouter_bert-nebulon-alpha.js

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+const findLISLength = async (nums) => {
+  if (!nums.length) return 0
+
+  const { bisectLeft } = await import('https://cdn.jsdelivr.net/npm/d3-array@3/+esm')
+  const tails = []
+
+  for (const num of nums) {
+    const i = bisectLeft(tails, num)
+    tails[i] = num
+  }
+
+  return tails.length
+}
+export default findLISLength;

tests/4_determinant/outputs/openrouter_bert-nebulon-alpha.js

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+const calculateDeterminant = async matrix => {
+  const { create } = await import('https://cdn.jsdelivr.net/npm/mathjs@11.7.0/+esm')
+  const math = create()
+
+  if (!Array.isArray(matrix) || !matrix.every(Array.isArray)) {
+    throw new TypeError('Input must be an array of arrays')
+  }
+
+  if (matrix.length === 0 || matrix.some(row => row.length !== matrix.length)) {
+    throw new Error('Matrix must be square (n x n)')
+  }
+
+  return math.det(matrix)
+}
+export default calculateDeterminant;

tests/5_markdown_parser/outputs/openrouter_bert-nebulon-alpha.js

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+const parseMarkdown = async (markdown) => {
+  const { default: marked } = await import('https://cdn.jsdelivr.net/npm/marked@4.0.12/lib/marked.esm.js')
+  const { default: DOMPurify } = await import('https://cdn.jsdelivr.net/npm/dompurify@3.0.5/dist/purify.es.mjs')
+
+  marked.setOptions({
+    gfm: true,
+    breaks: true,
+    headerIds: false,
+    mangle: false
+  })
+
+  const html = marked.parse(markdown)
+  return DOMPurify.sanitize(html)
+}
+export default parseMarkdown;

tests/6_csv_processor/outputs/openrouter_bert-nebulon-alpha.js

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+const processCSV = async (csvData, config) => {
+  const { parse } = await import('https://cdn.skypack.dev/papaparse@5.3.0')
+  const { filterColumn, filterValue, groupBy, aggregateColumn, operation } = config
+  const { data } = parse(csvData, { header: true })
+
+  const filtered = data.filter(row => row[filterColumn] == filterValue)
+  const groups = filtered.reduce((acc, row) => {
+    const key = row[groupBy]
+    if (!acc[key]) acc[key] = []
+    acc[key].push(row)
+    return acc
+  }, {})
+
+  return Object.entries(groups).map(([groupValue, rows]) => {
+    const numbers = rows.map(row => +row[aggregateColumn] || 0)
+    let result
+
+    if (operation === 'sum') result = numbers.reduce((a, b) => a + b, 0)
+    if (operation === 'avg') result = numbers.reduce((a, b) => a + b, 0) / numbers.length
+    if (operation === 'count') result = numbers.length
+
+    return { [groupBy]: groupValue, result }
+  })
+}
+export default processCSV;

tests/7_scheduler/outputs/openrouter_bert-nebulon-alpha.js

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+const findAvailableSlots = async (calendar1, calendar2, constraints) => {
+  const { DateTime, Interval } = await import('https://cdn.skypack.dev/luxon@3.0.1')
+
+  const { durationMinutes, searchRange, workHours } = constraints
+  const workStart = DateTime.fromISO(`${searchRange.start.split('T')[0]}T${workHours.start}:00Z`)
+  const workEnd = DateTime.fromISO(`${searchRange.start.split('T')[0]}T${workHours.end}:00Z`)
+  const searchStart = DateTime.fromISO(searchRange.start)
+  const searchEnd = DateTime.fromISO(searchRange.end)
+
+  const mergeCalendars = (cal1, cal2) => {
+    const allSlots = [...cal1, ...cal2].map(slot => ({
+      start: DateTime.fromISO(slot.start),
+      end: DateTime.fromISO(slot.end)
+    })).sort((a, b) => a.start - b.start)
+
+    return allSlots.reduce((merged, current) => {
+      if (merged.length === 0) return [current]
+
+      const last = merged[merged.length - 1]
+      if (current.start <= last.end) {
+        last.end = current.end > last.end ? current.end : last.end
+        return merged
+      }
+
+      return [...merged, current]
+    }, [])
+  }
+
+  const mergedBusy = mergeCalendars(calendar1, calendar2)
+  const freeIntervals = []
+
+  let currentStart = searchStart
+  for (const busy of mergedBusy) {
+    if (busy.start > currentStart) {
+      freeIntervals.push(Interval.fromDateTimes(currentStart, busy.start))
+    }
+    currentStart = busy.end > currentStart ? busy.end : currentStart
+  }
+
+  if (currentStart < searchEnd) {
+    freeIntervals.push(Interval.fromDateTimes(currentStart, searchEnd))
+  }
+
+  const availableSlots = freeIntervals.flatMap(interval => {
+    const slots = []
+    let slotStart = interval.start
+
+    while (slotStart.plus({ minutes: durationMinutes }) <= interval.end) {
+      const slotEnd = slotStart.plus({ minutes: durationMinutes })
+      const slotInterval = Interval.fromDateTimes(slotStart, slotEnd)
+
+      if (slotInterval.engulfs(workStart) && slotInterval.engulfs(workEnd)) {
+        slots.push({
+          start: slotStart.toISO(),
+          end: slotEnd.toISO()
+        })
+      }
+
+      slotStart = slotEnd
+    }
+
+    return slots
+  })
+
+  return availableSlots.filter(slot => {
+    const slotStart = DateTime.fromISO(slot.start)
+    const slotEnd = DateTime.fromISO(slot.end)
+    return slotStart >= workStart && slotEnd <= workEnd
+  })
+}
+export default findAvailableSlots;

tests/8_json_validator/outputs/openrouter_bert-nebulon-alpha.js

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+const validateJSON = async (json, schema) => {
+  try {
+    const { default: Ajv } = await import('https://cdn.jsdelivr.net/npm/ajv@8.12.0/+esm')
+    const { default: addFormats } = await import('https://cdn.jsdelivr.net/npm/ajv-formats@2.1.1/+esm')
+
+    const ajv = new Ajv({
+      allErrors: true,
+      strict: false,
+      validateSchema: true
+    })
+
+    addFormats(ajv)
+
+    const validate = ajv.compile(schema)
+    const valid = validate(json)
+
+    return {
+      valid,
+      errors: valid ? [] : validate.errors.map(err => ({
+        message: err.message,
+        instancePath: err.instancePath,
+        schemaPath: err.schemaPath,
+        params: err.params
+      }))
+    }
+  } catch (error) {
+    return {
+      valid: false,
+      errors: [{
+        message: error.message,
+        stack: error.stack
+      }]
+    }
+  }
+}
+export default validateJSON;

tests/9_stream_visualizer/outputs/openrouter_bert-nebulon-alpha.js

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+const createStreamVisualizer = async (asyncIterable, {
+  maxPoints = 1000,
+  alpha = 0.3,
+  width = 800,
+  height = 400,
+  yDomain = [0, 1]
+} = {}) => {
+  const { scaleLinear, line } = await import('https://cdn.skypack.dev/d3@7');
+  const data = [];
+  let prevEma;
+
+  for await (const { timestamp, value } of asyncIterable) {
+    const ema = prevEma === undefined
+      ? value
+      : alpha * value + (1 - alpha) * prevEma;
+    prevEma = ema;
+
+    data.push({ timestamp, value, ema });
+    if (data.length > maxPoints) data.shift();
+  }
+
+  if (!data.length) return { data: [], path: '' };
+
+  const xScale = scaleLinear()
+    .domain([data[0].timestamp, data[data.length - 1].timestamp])
+    .range([0, width]);
+
+  const yScale = scaleLinear()
+    .domain(yDomain)
+    .range([height, 0]);
+
+  const pathGenerator = line()
+    .x(d => xScale(d.timestamp))
+    .y(d => yScale(d.ema));
+
+  return {
+    data,
+    path: pathGenerator(data)
+  };
+};
+export default createStreamVisualizer;