[mertcanaltin]

This pr improvement short strings for TextEncoder.encode.

Benchmark results:

(.venv) ➜  node git:(mert/textencoder-small-string) ✗ npx node-benchmark-compare te-clean.csv                                                        
                                                                          confidence improvement accuracy (*)   (**)  (***)
util/text-encoder.js op='encode' type='ascii' n=1000000 len=256                    *      1.67 %       ±1.45% ±1.94% ±2.54%
util/text-encoder.js op='encode' type='ascii' n=1000000 len=32                   ***    127.18 %       ±1.93% ±2.58% ±3.40%
util/text-encoder.js op='encode' type='one-byte-string' n=1000000 len=256                 1.39 %       ±2.07% ±2.79% ±3.68%
util/text-encoder.js op='encode' type='one-byte-string' n=1000000 len=32         ***     85.44 %       ±2.43% ±3.27% ±4.31%
util/text-encoder.js op='encode' type='two-byte-string' n=1000000 len=256                -0.12 %       ±0.86% ±1.15% ±1.49%
util/text-encoder.js op='encode' type='two-byte-string' n=1000000 len=32         ***     74.83 %       ±1.45% ±1.94% ±2.54%

Be aware that when doing many comparisons the risk of a false-positive result increases.
In this case, there are 6 comparisons, you can thus expect the following amount of false-positive results:
  0.30 false positives, when considering a   5% risk acceptance (*, **, ***),
  0.06 false positives, when considering a   1% risk acceptance (**, ***),
  0.01 false positives, when considering a 0.1% risk acceptance (***)

I got help from Claude Opus 5.5. I reviewed the changes and ran the tests and benchmarks myself.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 90.51%. Comparing base (e2d5522) to head (cdf9f11).
⚠️ Report is 57 commits behind head on main.

Additional details and impacted files

@@            Coverage Diff             @@
##             main   #66831      +/-   ##
==========================================
+ Coverage   90.50%   90.51%   +0.01%     
==========================================
  Files         797      797              
  Lines      277793   278237     +444     
  Branches    53366    53466     +100     
==========================================
+ Hits       251405   251838     +433     
+ Misses      16801    16765      -36     
- Partials     9587     9634      +47     

Files with missing lines	Coverage Δ
lib/internal/encoding.js	96.75% <100.00%> (+0.08%)	⬆️

... and 61 files with indirect coverage changes

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.
• 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.

[github-actions]

Benchmark GHA (util / text-encoder): https://github.com/nodejs/node/actions/runs/39607879277

Results

[!WARNING]
Do not take GHA benchmark results as face value, always confirm them
using a dedicated machine, e.g. Jenkins CI.

Benchmark results:

                                                                               confidence improvement accuracy (*)    (**)   (***)
util/text-encoder.js op='encode' type='ascii' n=1000000 len=1024                              -2.59 %      ±17.90% ±23.59% ±30.27%
util/text-encoder.js op='encode' type='ascii' n=1000000 len=256                                2.01 %      ±22.07% ±29.09% ±37.33%
util/text-encoder.js op='encode' type='ascii' n=1000000 len=32                        ***    172.54 %      ±31.10% ±41.03% ±52.72%
util/text-encoder.js op='encode' type='ascii' n=1000000 len=8192                               0.66 %      ±16.04% ±21.14% ±27.13%
util/text-encoder.js op='encode' type='one-byte-string' n=1000000 len=1024                     2.12 %      ±18.63% ±24.56% ±31.51%
util/text-encoder.js op='encode' type='one-byte-string' n=1000000 len=256                     -1.85 %      ±19.74% ±26.02% ±33.39%
util/text-encoder.js op='encode' type='one-byte-string' n=1000000 len=32              ***    140.33 %      ±25.69% ±33.87% ±43.49%
util/text-encoder.js op='encode' type='one-byte-string' n=1000000 len=8192                     0.51 %       ±7.77% ±10.24% ±13.14%
util/text-encoder.js op='encode' type='two-byte-string' n=1000000 len=1024                    -1.62 %      ±16.32% ±21.51% ±27.60%
util/text-encoder.js op='encode' type='two-byte-string' n=1000000 len=256                     -1.19 %      ±18.34% ±24.17% ±31.01%
util/text-encoder.js op='encode' type='two-byte-string' n=1000000 len=32              ***    132.39 %      ±22.45% ±29.60% ±37.99%
util/text-encoder.js op='encode' type='two-byte-string' n=1000000 len=8192                    -0.16 %       ±7.29%  ±9.61% ±12.33%
util/text-encoder.js op='encodeInto' type='ascii' n=1000000 len=1024                          -0.30 %      ±17.92% ±23.63% ±30.31%
util/text-encoder.js op='encodeInto' type='ascii' n=1000000 len=256                            1.12 %      ±20.39% ±26.88% ±34.49%
util/text-encoder.js op='encodeInto' type='ascii' n=1000000 len=32                            -4.04 %      ±17.34% ±22.85% ±29.33%
util/text-encoder.js op='encodeInto' type='ascii' n=1000000 len=8192                           0.84 %       ±8.20% ±10.81% ±13.87%
util/text-encoder.js op='encodeInto' type='one-byte-string' n=1000000 len=1024                 0.86 %      ±13.22% ±17.42% ±22.36%
util/text-encoder.js op='encodeInto' type='one-byte-string' n=1000000 len=256                 -0.60 %      ±16.01% ±21.11% ±27.08%
util/text-encoder.js op='encodeInto' type='one-byte-string' n=1000000 len=32                   2.46 %      ±19.34% ±25.49% ±32.70%
util/text-encoder.js op='encodeInto' type='one-byte-string' n=1000000 len=8192                 0.50 %       ±5.69%  ±7.50%  ±9.62%
util/text-encoder.js op='encodeInto' type='two-byte-string' n=1000000 len=1024                 0.03 %       ±9.57% ±12.61% ±16.19%
util/text-encoder.js op='encodeInto' type='two-byte-string' n=1000000 len=256                  2.47 %      ±12.39% ±16.33% ±20.96%
util/text-encoder.js op='encodeInto' type='two-byte-string' n=1000000 len=32                   2.54 %      ±17.87% ±23.56% ±30.23%
util/text-encoder.js op='encodeInto' type='two-byte-string' n=1000000 len=8192                 0.04 %       ±6.00%  ±7.91% ±10.15%

Be aware that when doing many comparisons the risk of a false-positive
result increases. In this case, there are 24 comparisons, you can thus
expect the following amount of false-positive results:
  1.20 false positives, when considering a   5% risk acceptance (*, **, ***),
  0.24 false positives, when considering a   1% risk acceptance (**, ***),
  0.02 false positives, when considering a 0.1% risk acceptance (***)

[!WARNING]
Do not take GHA benchmark results as face value, always confirm them
using a dedicated machine, e.g. Jenkins CI.

[nodejs-github-bot]

CI: https://ci.nodejs.org/job/node-test-pull-request/78544/