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⚡️ Faster fc.integer on generate#7035

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perf/integer-arbitrary-bis
Jun 3, 2026
Merged

⚡️ Faster fc.integer on generate#7035
dubzzz merged 11 commits into
mainfrom
perf/integer-arbitrary-bis

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@dubzzz dubzzz commented Jun 3, 2026

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Description

The suggestion come from a first proposal made by Claude. We then refined it to keep the legitimate part from it and put for later next parts of it.

Related to #7022

Checklist

Don't delete this checklist and make sure you do the following before opening the PR

  • I have a full understanding of every line in this PR — whether the code was hand-written, AI-generated, copied from external sources or produced by any other tool
  • I flagged the impact of my change (minor / patch / major) either by running pnpm run bump or by following the instructions from the changeset bot
  • I kept this PR focused on a single concern and did not bundle unrelated changes
  • I followed the gitmoji specification for the name of the PR, including the package scope (e.g. 🐛(vitest) Something...) when the change targets a package other than fast-check
  • I added relevant tests and they would have failed without my PR (when applicable)

claude and others added 7 commits May 24, 2026 00:28
Compute the default shrink target once in the constructor and store it as
a private readonly field, rather than recomputing it on every `shrink()`
call. `shrink()` reads the field directly; the `defaultTarget()` method
is removed.

ALONE vs origin/main:
  # integer - generate default (i32 range):  +10.2%
  # integer - generate small range (0..100): +16.0%
  # integer - generate signed (-100..100):   +11.9%
  # integer - shrink default mid value:      +10.3%
  # nat     - generate default:              +19.8%

CUMULATIVE vs origin/main (chain state at this commit):
  # integer - generate default (i32 range):  +55.9%
  # integer - shrink default mid value:       +8.5%
  # nat     - generate default:              +47.1%

INCREMENTAL (vs origin/main, first commit):
  same as ALONE.

Noise floor: hot integer/nat benches show run-to-run swings up to ~±40%
on this hardware; the slower `shrink` bench is stable to ~±10%.

Why it works: the default shrink target depends only on `min` and `max`,
which are immutable on `IntegerArbitrary`. Hoisting the conditional into
the constructor turns three branches into a single field load on every
`shrink()` call.
`biasNumericRange(min, max, integerLogLike)` depends only on `min`/`max`,
which never change for a given `IntegerArbitrary`. Compute the list once
on the first biased call and reuse it for every subsequent biased
`generate()`.

ALONE vs origin/main:
  # integer - generate default (i32 range):  +16.1%
  # integer - generate biased default:       +17.8%
  # integer - shrink default mid value:      +28.0% (noisy)
  # nat     - generate default:              +69.3% (noisy)

CUMULATIVE vs origin/main (chain state at this commit):
  # integer - generate default (i32 range):  +70.7%
  # integer - generate small range (0..100): +21.0%
  # integer - generate biased default:       +14.8%
  # nat     - generate default:              +11.7%

INCREMENTAL (vs previous commit):
  # integer - generate biased default:       ~+15-20%
  Other benches within noise of commit 1.

Noise floor: ~±40% on hot generate benches, ~±10% on shrink. Reported
ALONE numbers are best signal across multiple runs.

Why it works: removes a `biasNumericRange()` call plus its allocations
from the biased branch hot path, leaving a single field load and the
range selection.
…teger)

Inline the unbiased fast path directly into `generate()` and call
`mrng.nextInt(this.min, this.max)` without going through
`computeGenerateRange`. The biased branch is also inlined back into
`generate()`. `computeGenerateRange` is removed.

ALONE vs origin/main:
  # integer - generate default (i32 range):  +48.6%
  # integer - generate signed (-100..100):   +30.2%
  # integer - generate biased default:       within noise
  # nat     - generate default:              +12.3%
  # integer - shrink default mid value:      neutral

CUMULATIVE vs origin/main (chain state at this commit):
  # integer - generate default (i32 range):  +92.1%
  # integer - generate biased default:       +58.9%
  # integer - generate signed (-100..100):   +29.6%
  # nat     - generate default:              +62.6%
  # integer - shrink default mid value:       +9.9%

INCREMENTAL (vs previous commit):
  # integer - generate default (i32 range):  ~+13% on top of commit 2
  # integer - generate biased default:       ~+38% on top of commit 2
  # nat     - generate default:              ~+46% on top of commit 2

Noise floor: ~±40% on hot generate benches.

Why it works: drops a per-call `{ min, max }` object allocation, plus
the method call/return overhead. The unbiased path becomes a single
branch + `nextInt` + `new Value`.
…n shrink)

Replace the two `function*` generators (`shrinkDecr` / `shrinkIncr`)
in `shrinkInteger` with a single `ShrinkIntegerIterator` class. The
class holds the loop state on the instance and exposes `next()` /
`[Symbol.iterator]()` directly, eliminating the generator-frame and
closure allocations done on every call.

The shrink sequence is identical for any (current, target,
tryTargetAsap): the direction is picked once in the constructor by
storing the appropriate `halve` / `stopAtZero` callbacks, and `next()`
applies them step by step. The same `toremove === realGap` overflow
guard is preserved.

ALONE vs origin/main:
  # integer - shrink default mid value:      +1948.8%  (x20.5)
  # integer - generate default (i32 range):  +52.6%  (likely partly noise)
  # nat     - generate default:              +64.1%  (likely partly noise)

CUMULATIVE vs origin/main (chain state at this commit):
  # integer - shrink default mid value:      +2119.7%  (x22.2)
  # integer - generate biased default:       +24.7%
  # nat     - generate default:              +114.6%

INCREMENTAL (vs previous commit):
  # integer - shrink default mid value:      ~+1900% absolute jump
  Generate benches are within the ±40% noise of commit 3.

Noise floor: ±40% on hot generate benches; the shrink result is so
large it dwarfs the noise.

Why it works: each call to a `function*` generator allocates a fresh
generator-state object and a fresh closure capturing `current`,
`target`, `tryTargetAsap`, etc. A class instance with the same state
on `this` lets V8 inline `next()` and removes the suspend/resume
machinery — for a sub-microsecond shrink step that overhead dominated.
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🦋 Changeset detected

Latest commit: e3249fd

The changes in this PR will be included in the next version bump.

This PR includes changesets to release 1 package
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commit: e3249fd

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⏱️ Benchmark Results

Click to expand

 RUN  v4.1.5 /home/runner/work/fast-check/fast-check


 ✓  fast-check  test/bench/arbitraries.bench.ts > generate 46413ms
     name                                                         hz     min      max    mean     p75     p99    p995     p999      rme  samples
   · boolean()                                          6,750,757.81  0.0001   0.1202  0.0001  0.0001  0.0007  0.0013   0.0018   ±0.24%  3375380  [1.22x] ⇑
     boolean()                                          5,541,661.46  0.0001   0.4099  0.0002  0.0002  0.0016  0.0018   0.0029   ±0.34%  2770831  (baseline)
   · integer()                                          7,753,286.08  0.0001   0.2434  0.0001  0.0002  0.0003  0.0004   0.0006   ±0.13%  3876644  [1.17x] ⇑
     integer()                                          6,606,187.01  0.0001   0.6531  0.0002  0.0002  0.0003  0.0003   0.0004   ±0.37%  3303094  (baseline)
   · maxSafeInteger()                                   5,597,468.88  0.0001   0.3153  0.0002  0.0002  0.0004  0.0004   0.0007   ±0.27%  2798735  [1.11x] ⇑
     maxSafeInteger()                                   5,022,347.15  0.0002   0.2778  0.0002  0.0002  0.0003  0.0004   0.0009   ±0.26%  2511174  (baseline)
   · bigInt()                                             980,575.12  0.0006  11.8715  0.0010  0.0011  0.0020  0.0022   0.0084   ±4.68%   490288  [0.80x] ⇓
     bigInt()                                           1,222,245.60  0.0006   0.2533  0.0008  0.0011  0.0012  0.0014   0.0033   ±0.26%   611123  (baseline)
   · float()                                            4,544,981.87  0.0002   0.3104  0.0002  0.0002  0.0004  0.0005   0.0008   ±0.27%  2272624  [1.18x] ⇑
     float()                                            3,842,093.90  0.0002   0.5154  0.0003  0.0003  0.0004  0.0006   0.0020   ±0.38%  1921047  (baseline)
   · double()                                           1,564,803.61  0.0004   3.3410  0.0006  0.0007  0.0012  0.0014   0.0023   ±3.55%   785318  [1.05x] ⇑
     double()                                           1,490,127.48  0.0004   3.9982  0.0007  0.0008  0.0009  0.0012   0.0022   ±4.23%   745064  (baseline)
   · date()                                             2,894,829.03  0.0002   2.4908  0.0003  0.0003  0.0006  0.0008   0.0011   ±2.28%  1447415  [1.16x] ⇑
     date()                                             2,488,470.17  0.0003   2.5264  0.0004  0.0004  0.0005  0.0007   0.0013   ±2.80%  1244236  (baseline)
   · string()                                             787,810.41  0.0003   6.4447  0.0013  0.0013  0.0035  0.0045   0.0151   ±7.30%   393906  [1.05x] ⇑
     string()                                             750,689.34  0.0003   8.9561  0.0013  0.0014  0.0039  0.0055   0.0167   ±7.47%   375345  (baseline)
   · string({ maxLength: 100, size: 'max' })              172,537.83  0.0003   4.2084  0.0058  0.0078  0.0149  0.0169   0.0251   ±4.56%    86271  [1.14x] ⇑
     string({ maxLength: 100, size: 'max' })              151,657.31  0.0003   3.7767  0.0066  0.0089  0.0184  0.0217   0.0315   ±4.29%    75830  (baseline)
   · string({ unit: 'grapheme' })                         576,352.17  0.0003   9.0836  0.0017  0.0020  0.0050  0.0068   0.0107   ±8.75%   288177  [1.12x] ⇑
     string({ unit: 'grapheme' })                         516,285.40  0.0003   8.9514  0.0019  0.0021  0.0049  0.0062   0.0141  ±10.28%   258143  (baseline)
   · base64String()                                       811,801.05  0.0003   7.3941  0.0012  0.0013  0.0032  0.0043   0.0092   ±7.64%   405901  [1.09x] ⇑
     base64String()                                       743,286.66  0.0003   7.6751  0.0013  0.0014  0.0032  0.0045   0.0130   ±8.17%   371644  (baseline)
   · array(integer())                                   1,258,973.91  0.0002   8.1775  0.0008  0.0008  0.0019  0.0023   0.0062   ±8.29%   629487  [1.04x] ⇑
     array(integer())                                   1,206,937.89  0.0002   5.7745  0.0008  0.0008  0.0017  0.0019   0.0050   ±8.90%   609908  (baseline)
   · array(integer(), { maxLength: 100, size: 'max' })    292,322.80  0.0002   3.8131  0.0034  0.0043  0.0090  0.0098   0.0147   ±5.73%   146162  [1.19x] ⇑
     array(integer(), { maxLength: 100, size: 'max' })    246,624.85  0.0003   9.5186  0.0041  0.0048  0.0133  0.0171   0.0290   ±5.89%   123313  (baseline)
   · uniqueArray(integer())                               887,235.94  0.0003   9.9862  0.0011  0.0012  0.0027  0.0033   0.0091   ±9.10%   445062  [0.88x] ⇓
     uniqueArray(integer())                             1,008,869.66  0.0003   4.2194  0.0010  0.0011  0.0022  0.0024   0.0071   ±5.59%   504435  (baseline)
   · set(integer())                                       844,816.89  0.0003   5.6631  0.0012  0.0014  0.0024  0.0027   0.0085   ±6.22%   422409  [1.05x] ⇑
     set(integer())                                       803,590.89  0.0004   8.9923  0.0012  0.0014  0.0031  0.0040   0.0128   ±5.65%   401796  (baseline)
   · tuple(integer())                                   3,634,446.78  0.0002   0.5783  0.0003  0.0003  0.0006  0.0008   0.0011   ±0.85%  1817224  [1.08x] ⇑
     tuple(integer())                                   3,366,779.41  0.0002   0.4777  0.0003  0.0004  0.0005  0.0006   0.0012   ±0.63%  1683391  (baseline)
   · record({ a: integer() })                             833,798.91  0.0006  11.3907  0.0012  0.0010  0.0024  0.0027   0.0086  ±11.98%   419435  [1.05x] ⇑
     record({ a: integer() })                             790,951.29  0.0007  12.0160  0.0013  0.0009  0.0024  0.0026   0.0104  ±14.32%   395476  (baseline)
   · dictionary(string(), integer())                       76,895.39  0.0005  10.7746  0.0130  0.0155  0.0364  0.0441   0.0605  ±11.07%    38448  [0.98x] ⇓
     dictionary(string(), integer())                       78,770.15  0.0006  10.3179  0.0127  0.0146  0.0368  0.0458   0.0754  ±11.43%    39855  (baseline)
   · map(string(), integer())                             118,465.24  0.0003  10.4770  0.0084  0.0096  0.0251  0.0327   0.0449  ±12.19%    59815  [1.05x] ⇑
     map(string(), integer())                             112,602.15  0.0004   9.2373  0.0089  0.0097  0.0256  0.0311   0.0460  ±12.65%    57265  (baseline)
   · constantFrom(...)                                  8,475,764.85  0.0001   0.0452  0.0001  0.0001  0.0003  0.0003   0.0006   ±0.09%  4237883  [1.14x] ⇑
     constantFrom(...)                                  7,464,864.69  0.0001   0.3178  0.0001  0.0001  0.0002  0.0002   0.0003   ±0.18%  3732433  (baseline)
   · oneof(integer(), integer())                        4,158,565.98  0.0002   7.2431  0.0002  0.0003  0.0004  0.0005   0.0008   ±2.84%  2079283  [1.16x] ⇑
     oneof(integer(), integer())                        3,571,945.81  0.0002   0.3980  0.0003  0.0003  0.0004  0.0005   0.0011   ±0.41%  1785974  (baseline)
   · oneof({ weight, arbitrary }, ...)                  4,323,852.58  0.0002   0.0432  0.0002  0.0002  0.0004  0.0005   0.0008   ±0.08%  2161927  [1.19x] ⇑
     oneof({ weight, arbitrary }, ...)                  3,620,303.88  0.0002   0.3280  0.0003  0.0003  0.0004  0.0004   0.0011   ±0.37%  1810153  (baseline)
   · option(integer())                                  4,201,525.92  0.0001   0.4188  0.0002  0.0003  0.0005  0.0006   0.0009   ±0.38%  2100763  [1.15x] ⇑
     option(integer())                                  3,653,606.87  0.0002   0.5953  0.0003  0.0003  0.0004  0.0004   0.0011   ±0.47%  1826804  (baseline)
   · subarray([1, 2, 3, 4, 5])                          1,877,638.01  0.0002   0.7794  0.0005  0.0007  0.0012  0.0014   0.0019   ±0.62%   938820  [1.14x] ⇑
     subarray([1, 2, 3, 4, 5])                          1,647,883.32  0.0003   0.4082  0.0006  0.0008  0.0010  0.0013   0.0021   ±0.43%   823942  (baseline)
   · letrec(tree)                                         376,483.02  0.0002  10.9227  0.0027  0.0029  0.0090  0.0104   0.0145  ±14.82%   188242  [0.92x] ⇓
     letrec(tree)                                         410,405.42  0.0002  11.0452  0.0024  0.0027  0.0085  0.0097   0.0171  ±13.56%   205204  (baseline)
   · memo(tree)                                           374,143.42  0.0002  14.6070  0.0027  0.0035  0.0097  0.0131   0.0191  ±14.78%   187073  [0.98x] ⇓
     memo(tree)                                           381,021.95  0.0002  13.6609  0.0026  0.0034  0.0085  0.0123   0.0188  ±14.14%   190511  (baseline)
   · anything()                                            62,573.01  0.0003  10.3420  0.0160  0.0224  0.0698  0.0801   0.1061  ±11.82%    31287  [1.18x] ⇑
     anything()                                            53,201.75  0.0003  15.5443  0.0188  0.0233  0.0896  0.1095   0.1753  ±14.03%    26920  (baseline)
   · json()                                                54,678.41  0.0003  11.6949  0.0183  0.0251  0.0830  0.1011   0.1523  ±11.79%    27340  [0.92x] ⇓
     json()                                                59,506.44  0.0004  10.7953  0.0168  0.0231  0.0730  0.0837   0.1140  ±12.18%    29755  (baseline)
   · entityGraph(node -> node)                              5,905.24  0.0094  31.5733  0.1693  0.1296  0.3726  0.6035  13.0178  ±19.80%     3035  [0.88x] ⇓
     entityGraph(node -> node)                              6,675.54  0.0095  14.9756  0.1498  0.1135  0.3729  0.4568  13.4946  ±18.15%     3396  (baseline)
   · emailAddress()                                        67,095.75  0.0026   9.5272  0.0149  0.0148  0.0237  0.0267   0.0425  ±12.84%    34086  [1.07x] ⇑
     emailAddress()                                        62,558.95  0.0026  10.3846  0.0160  0.0153  0.0393  0.0474   0.0764  ±12.45%    31280  (baseline)
   · webUrl()                                             113,666.96  0.0023  11.3752  0.0088  0.0074  0.0145  0.0175   0.0328  ±14.91%    56834  [1.04x] ⇑
     webUrl()                                             109,013.88  0.0024  11.8279  0.0092  0.0075  0.0207  0.0237   0.0408  ±14.82%    54507  (baseline)
   · ipV4()                                             1,037,852.14  0.0006   8.8054  0.0010  0.0008  0.0019  0.0022   0.0065   ±9.80%   518927  [1.08x] ⇑
     ipV4()                                               964,086.83  0.0006   6.8436  0.0010  0.0009  0.0014  0.0018   0.0064   ±8.65%   482044  (baseline)
   · ipV6()                                               166,695.19  0.0005   9.7937  0.0060  0.0054  0.0145  0.0164   0.0276  ±12.28%    83348  [1.04x] ⇑
     ipV6()                                               160,481.00  0.0006   9.2890  0.0062  0.0055  0.0151  0.0177   0.0336  ±12.21%    80241  (baseline)
   · uuid()                                               550,487.44  0.0010  10.5689  0.0018  0.0015  0.0032  0.0036   0.0095  ±11.69%   275245  [1.07x] ⇑
     uuid()                                               512,428.71  0.0011  10.9813  0.0020  0.0015  0.0023  0.0027   0.0133  ±13.66%   256215  (baseline)
   · stringMatching(/^[a-zA-Z0-9]+$/)                     412,890.51  0.0007   9.6296  0.0024  0.0023  0.0036  0.0045   0.0110  ±12.60%   206446  [1.11x] ⇑
     stringMatching(/^[a-zA-Z0-9]+$/)                     373,279.83  0.0009   9.6468  0.0027  0.0025  0.0040  0.0049   0.0151  ±13.03%   188998  (baseline)
   · mixedCase(string())                                  453,856.72  0.0005   6.1118  0.0022  0.0025  0.0049  0.0061   0.0112   ±5.35%   226929  [0.97x] ⇓
     mixedCase(string())                                  466,550.55  0.0005   6.2179  0.0021  0.0025  0.0053  0.0064   0.0151   ±4.74%   233276  (baseline)
   · integer().map(.)                                   5,370,536.30  0.0001   0.5761  0.0002  0.0002  0.0003  0.0004   0.0007   ±0.41%  2685269  [1.16x] ⇑
     integer().map(.)                                   4,620,248.87  0.0001   0.3526  0.0002  0.0003  0.0003  0.0004   0.0010   ±0.37%  2310125  (baseline)
   · integer().chain(.)                                 3,076,664.55  0.0002   0.5604  0.0003  0.0003  0.0006  0.0008   0.0012   ±0.63%  1538333  [1.07x] ⇑
     integer().chain(.)                                 2,876,410.65  0.0002   0.5796  0.0003  0.0004  0.0006  0.0006   0.0012   ±0.52%  1438206  (baseline)
   · integer().filter(.)                                3,593,867.80  0.0001   0.3898  0.0003  0.0003  0.0008  0.0009   0.0012   ±0.29%  1796934  [1.28x] ⇑
     integer().filter(.)                                2,797,728.72  0.0001   0.5370  0.0004  0.0004  0.0011  0.0013   0.0017   ±0.39%  1398865  (baseline)

 BENCH  Summary

   fast-check  constantFrom(...) - test/bench/arbitraries.bench.ts > generate
    1.09x faster than integer()
    1.26x faster than boolean()
    1.51x faster than maxSafeInteger()
    1.58x faster than integer().map(.)
    1.86x faster than float()
    1.96x faster than oneof({ weight, arbitrary }, ...)
    2.02x faster than option(integer())
    2.04x faster than oneof(integer(), integer())
    2.33x faster than tuple(integer())
    2.36x faster than integer().filter(.)
    2.75x faster than integer().chain(.)
    2.93x faster than date()
    4.51x faster than subarray([1, 2, 3, 4, 5])
    5.42x faster than double()
    6.73x faster than array(integer())
    8.17x faster than ipV4()
    8.64x faster than bigInt()
    9.55x faster than uniqueArray(integer())
    10.03x faster than set(integer())
    10.17x faster than record({ a: integer() })
    10.44x faster than base64String()
    10.76x faster than string()
    14.71x faster than string({ unit: 'grapheme' })
    15.40x faster than uuid()
    18.67x faster than mixedCase(string())
    20.53x faster than stringMatching(/^[a-zA-Z0-9]+$/)
    22.51x faster than letrec(tree)
    22.65x faster than memo(tree)
    28.99x faster than array(integer(), { maxLength: 100, size: 'max' })
    49.12x faster than string({ maxLength: 100, size: 'max' })
    50.85x faster than ipV6()
    71.55x faster than map(string(), integer())
    74.57x faster than webUrl()
    110.22x faster than dictionary(string(), integer())
    126.32x faster than emailAddress()
    135.45x faster than anything()
    155.01x faster than json()
    1435.29x faster than entityGraph(node -> node)

Benchmark report written to /home/runner/work/fast-check/fast-check/benchmark.json

Commit: e3249fd (merge: 390e14d)

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codecov Bot commented Jun 3, 2026

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Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 94.86%. Comparing base (d93047e) to head (e3249fd).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files
@@            Coverage Diff             @@
##             main    #7035      +/-   ##
==========================================
- Coverage   94.87%   94.86%   -0.01%     
==========================================
  Files         212      212              
  Lines        5888     5884       -4     
  Branches     1545     1543       -2     
==========================================
- Hits         5586     5582       -4     
  Misses        294      294              
  Partials        8        8              
Flag Coverage Δ
tests 94.86% <100.00%> (-0.01%) ⬇️

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@dubzzz
dubzzz enabled auto-merge (squash) June 3, 2026 21:45
@dubzzz
dubzzz merged commit 2b13923 into main Jun 3, 2026
52 checks passed
@dubzzz
dubzzz deleted the perf/integer-arbitrary-bis branch June 3, 2026 21:52
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2 participants