choose

perf.js

// PTS | 1  2   3   4   5   6   7   8   9   10  11  12 13 14
// ----+----------------------------------------------------
// R1  | t6 t12 t4  t8  t5  t14 t11 t10 t13 t1  t2  t9 t3 t7
// R2  | t6 t4  t14 t13 t11 t10 t12 t1  t8  t5  t2  t9 t3 t7
// R3  | t6 t5  t11 t4  t14 t8  t10 t2  t1  t13 t12 t9 t3 t7
// R4  | t6 t5  t4  t10 t12 t11 t13 t8  t14 t2  t1  t9 t3 t7
// R5  | t6 t13 t11 t2  t10 t5  t12 t14 t8  t1  t4  t9 t3 t7
// R6  | t6 t5  t4  t13 t12 t8  t14 t11 t10 t1  t2  t9 t3 t7
// R7  | t6 t5  t13 t8  t4  t10 t1  t2  t14 t11 t12 t3 t9 t7
// R8  | t6 t5  t11 t14 t8  t4  t13 t10 t12 t1  t2  t3 t9 t7
// R9  | t6 t10 t11 t5  t1  t14 t8  t2  t4  t12 t13 t9 t3 t7
// R10 | t6 t5  t12 t14 t8  t4  t13 t11 t10 t1  t2  t3 t9 t7
// ----+----------------------------------------------------
//     | t6 t5  t4  t11 t14 t8  t10 t13 t12 t1  t2  t9 t3 t7
//       ^                                                 ^
//       Best                                          Worst

const bench = require("nodemark")

const t = (label, fn, ...args) => {
  const result = bench(() => fn(...args))
  console.log(label, result.nanoseconds(), result)
}

const binA = 0
const binB = 1
const binC = 2

const binIsA = v => v.tag & binA
const binIsB = v => v.tag & binB
const binIsC = v => v.tag & binC

const nonA = "A"
const nonB = "B"
const nonC = "C"

const nonIsA = v => v.tag === nonA
const nonIsB = v => v.tag === nonB
const nonIsC = v => v.tag === nonC

const fn = label => value => [label, value]

const binFoo = {
  tag: binC,
  foo: "bar",
}

const nonFoo = {
  tag: nonC,
  foo: "bar",
}

// non - standard switch
const t1 = foo => {
  switch (foo.tag) {
    case nonA:
      return fn("A")(foo)
    case nonB:
      return fn("B")(foo)
    case nonC:
      return fn("C")(foo)
  }
}

// non - standard true switch
const t2 = foo => {
  switch (true) {
    case nonIsA(foo):
      return fn("A")(foo)
    case nonIsB(foo):
      return fn("B")(foo)
    case nonIsC(foo):
      return fn("C")(foo)
  }
}

// non - inline object
const t3 = foo => {
  const opts = {
    [nonA]: fn("A"),
    [nonB]: fn("B"),
    [nonC]: fn("C"),
  }
  return opts[foo.tag](foo)
}

// non - external object
const nonOpts = {
  [nonA]: fn("A"),
  [nonB]: fn("B"),
  [nonC]: fn("C"),
}

const t4 = foo => {
  return nonOpts[foo.tag](foo)
}

// bin - standard switch
const t5 = foo => {
  switch (foo.tag) {
    case binA:
      return fn("A")(foo)
    case binB:
      return fn("B")(foo)
    case binC:
      return fn("C")(foo)
  }
}

// bin - standard true switch
const t6 = foo => {
  switch (true) {
    case binIsA(foo):
      return fn("A")(foo)
    case binIsB(foo):
      return fn("B")(foo)
    case binIsC(foo):
      return fn("C")(foo)
  }
}

// bin - inline object
const t7 = foo => {
  const opts = {
    [binA]: fn("A"),
    [binB]: fn("B"),
    [binC]: fn("C"),
  }
  return opts[foo.tag](foo)
}

// bin - external object
const binOpts = {
  [binA]: fn("A"),
  [binB]: fn("B"),
  [binC]: fn("C"),
}

const t8 = foo => {
  return binOpts[foo.tag](foo)
}

// bin -- array inline
const t9 = foo => {
  const binArr = [fn("A"), fn("B"), fn("C")]
  return binArr[foo.tag](foo)
}

// bin -- array external
const binArr = [fn("A"), fn("B"), fn("C")]

const t10 = foo => {
  return binArr[foo.tag](foo)
}

// non -- if
const t11 = foo => {
  if (nonIsA(foo)) return fn("A")(foo)
  if (nonIsB(foo)) return fn("B")(foo)
  if (nonIsC(foo)) return fn("C")(foo)
}

// non -- if else
const t12 = foo => {
  if (nonIsA(foo)) return fn("A")(foo)
  else if (nonIsB(foo)) return fn("B")(foo)
  else if (nonIsC(foo)) return fn("C")(foo)
}

// bin -- if
const t13 = foo => {
  if (binIsA(foo)) return fn("A")(foo)
  if (binIsB(foo)) return fn("B")(foo)
  if (binIsC(foo)) return fn("C")(foo)
}

// bin -- if else
const t14 = foo => {
  if (binIsA(foo)) return fn("A")(foo)
  else if (binIsB(foo)) return fn("B")(foo)
  else if (binIsC(foo)) return fn("C")(foo)
}

t("t1", t1, nonFoo)
t("t2", t2, nonFoo)
t("t3", t3, nonFoo)
t("t4", t4, nonFoo)
t("t5", t5, binFoo)
t("t6", t6, binFoo)
t("t7", t7, binFoo)
t("t8", t8, binFoo)
t("t9", t9, binFoo)
t("t10", t10, binFoo)
t("t11", t11, nonFoo)
t("t12", t12, nonFoo)
t("t13", t13, binFoo)
t("t14", t14, binFoo)

results.js

// Run 1
// t6  10  95,616,182 ops/sec ±3.44% (5606892 samples)
// t12 15  67,982,577 ops/sec ±4.05% (5619493 samples)
// t4  15  65,920,581 ops/sec ±4.33% (5576717 samples)
// t8  15  64,551,179 ops/sec ±4.28% (5614327 samples)
// t5  15  65,286,515 ops/sec ±5.33% (5591630 samples)
// t14 16  64,124,484 ops/sec ±4.03% (5621866 samples)
// t11 16  63,886,856 ops/sec ±4.55% (5517265 samples)
// t10 16  63,597,306 ops/sec ±3.9% (5601690 samples)
// t13 16  63,534,015 ops/sec ±4.38% (5629404 samples)
// t1  16  61,530,462 ops/sec ±4.14% (5583633 samples)
// t2  17  58,982,494 ops/sec ±4.36% (5534838 samples)
// t9  67  14,852,593 ops/sec ±1.74% (5091493 samples)
// t3  68  14,639,564 ops/sec ±1.59% (5103353 samples)
// t7  403  2,482,556 ops/sec ±0.45% (3220159 samples)

// Run 2
// t6  13  78,253,589 ops/sec ±3.17% (5447466 samples)
// t4  15  66,635,312 ops/sec ±4.49% (5385800 samples)
// t14 15  65,248,822 ops/sec ±4.56% (5400517 samples)
// t13 16  63,709,943 ops/sec ±4.2% (5404798 samples)
// t11 16  62,453,636 ops/sec ±4.11% (5431338 samples)
// t10 16  62,351,122 ops/sec ±4.8% (5379142 samples)
// t12 16  62,041,790 ops/sec ±5.15% (5414844 samples)
// t1  16  61,795,603 ops/sec ±4.64% (5364153 samples)
// t8  16  61,733,245 ops/sec ±3.85% (5425504 samples)
// t5  17  60,183,941 ops/sec ±4.26% (5377451 samples)
// t2  17  58,631,932 ops/sec ±4.35% (5427319 samples)
// t9  68  14,774,325 ops/sec ±1.7% (4913451 samples)
// t3  70  14,211,270 ops/sec ±1.68% (4874387 samples)
// t7  404  2,474,727 ops/sec ±0.47% (3140623 samples)

// Run 3
// t6  13  78,844,008 ops/sec ±3.27% (5604463 samples)
// t5  16  64,291,737 ops/sec ±4.1% (5559322 samples)
// t11 16  63,026,717 ops/sec ±4.78% (5568469 samples)
// t4  16  63,855,981 ops/sec ±3.85% (5580070 samples)
// t14 16  62,010,250 ops/sec ±3.88% (5587206 samples)
// t8  16  61,694,044 ops/sec ±4.05% (5563343 samples)
// t10 16  61,024,381 ops/sec ±6.64% (5558689 samples)
// t2  17  59,253,678 ops/sec ±3.92% (5556373 samples)
// t1  17  58,837,419 ops/sec ±5.02% (5509958 samples)
// t13 17  58,255,621 ops/sec ±3.74% (5550827 samples)
// t12 17  57,652,534 ops/sec ±5.75% (5583893 samples)
// t9  65  15,351,754 ops/sec ±1.73% (5070506 samples)
// t3  70  14,185,018 ops/sec ±1.63% (5028662 samples)
// t7  399  2,504,929 ops/sec ±0.45% (3245039 samples)

// Run4
// t6  12  81,730,226 ops/sec ±2.94% (5719964 samples)
// t5  14  73,895,227 ops/sec ±4.54% (5682163 samples)
// t4  14  72,251,685 ops/sec ±4.45% (5660938 samples)
// t10 14  71,184,741 ops/sec ±4.35% (5706315 samples)
// t12 14  71,094,997 ops/sec ±4.63% (5625127 samples)
// t11 14  70,890,592 ops/sec ±4.88% (5654009 samples)
// t13 14  69,988,086 ops/sec ±4.41% (5671990 samples)
// t8  14  69,579,334 ops/sec ±5.38% (5662969 samples)
// t14 15  68,669,695 ops/sec ±4.3% (5666156 samples)
// t2  15  67,936,009 ops/sec ±4.28% (5673873 samples)
// t1  15  66,623,769 ops/sec ±4.37% (5654863 samples)
// t9  64  15,509,500 ops/sec ±1.96% (5127815 samples)
// t3  68  14,683,280 ops/sec ±1.74% (5122542 samples)
// t7  399  2,506,734 ops/sec ±0.47% (3249852 samples)

// Run5
// t6  12  82,602,611 ops/sec ±3.23% (5567327 samples)
// t13 15  67,757,801 ops/sec ±5.04% (5529836 samples)
// t11 15  66,201,293 ops/sec ±4.01% (5503597 samples)
// t2  15  66,138,288 ops/sec ±4.28% (5532916 samples)
// t10 15  64,994,750 ops/sec ±4.07% (5573779 samples)
// t5  16  64,420,196 ops/sec ±4.49% (5511658 samples)
// t12 16  64,350,691 ops/sec ±4.22% (5543241 samples)
// t14 16  63,608,852 ops/sec ±4.29% (5533829 samples)
// t8  16  62,180,585 ops/sec ±4.28% (5589059 samples)
// t1  16  61,317,595 ops/sec ±4.49% (5499203 samples)
// t4  17  60,565,023 ops/sec ±4.09% (5452154 samples)
// t9  67  14,872,355 ops/sec ±1.92% (5009781 samples)
// t3  70  14,248,844 ops/sec ±1.94% (4984826 samples)
// t7  402  2,485,232 ops/sec ±0.46% (3195191 samples)

// Run6
// t6  12  83,087,966 ops/sec ±4.22% (5511086 samples)
// t5  15  68,365,926 ops/sec ±4.45% (5489280 samples)
// t4  15  67,871,747 ops/sec ±4.5% (5508866 samples)
// t13 15  65,433,470 ops/sec ±3.76% (5522122 samples)
// t12 15  64,906,796 ops/sec ±4.14% (5462456 samples)
// t8  16  64,117,755 ops/sec ±3.94% (5505389 samples)
// t14 16  63,613,924 ops/sec ±4.11% (5480734 samples)
// t11 16  63,333,235 ops/sec ±3.83% (5523122 samples)
// t10 16  60,789,312 ops/sec ±3.79% (5514921 samples)
// t1  16  60,650,965 ops/sec ±4.46% (5450159 samples)
// t2  17  58,591,028 ops/sec ±4.26% (5416216 samples)
// t9  67  14,830,069 ops/sec ±1.84% (5018648 samples)
// t3  68  14,662,999 ops/sec ±1.77% (4973228 samples)
// t7  404  2,473,769 ops/sec ±0.51% (3170824 samples)

// Run7
// t6  12  83,818,743 ops/sec ±3.09% (5598817 samples)
// t5  14  72,949,618 ops/sec ±4.84% (5481222 samples)
// t13 15  65,705,218 ops/sec ±4.22% (5542134 samples)
// t8  16  63,927,214 ops/sec ±4.19% (5569891 samples)
// t4  16  63,665,942 ops/sec ±4.78% (5529373 samples)
// t10 16  63,522,228 ops/sec ±4.96% (5565185 samples)
// t1  16  61,889,098 ops/sec ±4.46% (5514898 samples)
// t2  17  60,096,842 ops/sec ±5.05% (5533683 samples)
// t14 17  59,859,395 ops/sec ±4.54% (5385571 samples)
// t11 17  58,293,804 ops/sec ±3.83% (5553810 samples)
// t12 18  56,823,041 ops/sec ±3.81% (5464483 samples)
// t3  70  14,294,844 ops/sec ±1.81% (5006008 samples)
// t9  71  14,127,240 ops/sec ±1.61% (5045317 samples)
// t7  402  2,487,563 ops/sec ±0.5% (3186908 samples)

// Run8
// t6  13  78,351,863 ops/sec ±3.04% (5497644 samples)
// t5  15  67,295,253 ops/sec ±4.06% (5476827 samples)
// t11 15  66,408,658 ops/sec ±6.03% (5420017 samples)
// t14 15  65,830,958 ops/sec ±4.47% (5382332 samples)
// t8  15  65,293,013 ops/sec ±4.65% (5435514 samples)
// t4  16  64,242,107 ops/sec ±6.9% (5453762 samples)
// t13 16  63,971,325 ops/sec ±4.31% (5389447 samples)
// t10 16  63,687,863 ops/sec ±3.89% (5470621 samples)
// t12 16  62,413,950 ops/sec ±4.36% (5341060 samples)
// t1  16  62,014,842 ops/sec ±5.1% (5336512 samples)
// t2  17  57,287,578 ops/sec ±3.94% (5443017 samples)
// t3  66  15,112,607 ops/sec ±1.72% (5002545 samples)
// t9  68  14,640,007 ops/sec ±1.84% (4952292 samples)
// t7  399  2,506,611 ops/sec ±0.47% (3193253 samples)

// Run9
// t6  14  72,624,878 ops/sec ±4.45% (5430590 samples)
// t10 16  61,927,817 ops/sec ±3.85% (5607718 samples)
// t11 16  61,269,898 ops/sec ±4.62% (5553984 samples)
// t5  17  60,386,155 ops/sec ±4.12% (5540839 samples)
// t1  17  59,898,306 ops/sec ±4.02% (5625523 samples)
// t14 17  59,694,290 ops/sec ±4.19% (5443165 samples)
// t8  17  58,437,878 ops/sec ±4.78% (5343447 samples)
// t2  17  58,200,446 ops/sec ±4.47% (5608102 samples)
// t4  17  57,831,911 ops/sec ±5% (5341391 samples)
// t12 17  57,468,107 ops/sec ±4.27% (5404784 samples)
// t13 18  55,777,200 ops/sec ±4.86% (5207922 samples)
// t9  72  13,861,267 ops/sec ±2.36% (4975786 samples)
// t3  73  13,680,438 ops/sec ±6.14% (4799410 samples)
// t7  431  2,321,160 ops/sec ±0.51% (3042824 samples)

// Run10
// t6  12  83,692,146 ops/sec ±2.7% (5654611 samples)
// t5  15  65,768,747 ops/sec ±3.97% (5592509 samples)
// t12 16  64,266,304 ops/sec ±3.84% (5602755 samples)
// t14 16  63,767,853 ops/sec ±3.81% (5606688 samples)
// t8  16  63,285,134 ops/sec ±5.16% (5581155 samples)
// t4  16  62,703,006 ops/sec ±4.58% (5575864 samples)
// t13 16  62,602,949 ops/sec ±3.77% (5624981 samples)
// t11 16  61,904,955 ops/sec ±3.69% (5616971 samples)
// t10 17  60,566,571 ops/sec ±4.05% (5615264 samples)
// t1  17  59,866,511 ops/sec ±4.62% (5511755 samples)
// t2  18  56,958,999 ops/sec ±3.85% (5566513 samples)
// t3  67  14,896,234 ops/sec ±1.7% (5067301 samples)
// t9  67  14,837,252 ops/sec ±1.72% (5096859 samples)
// t7  402  2,488,972 ops/sec ±0.58% (3227605 samples)