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nhttp: add the entry (Erlang, nhttp 1.4.0) - #1670

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nomasystems:nhttp
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mrrubinos wants to merge 2 commits into
MDA2AV:mainfrom
nomasystems:nhttp

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Description

nhttp is a pure-Erlang HTTP/1.1, HTTP/2 and HTTP/3 server. One TLS
listener serves h1 and h2 by ALPN, and h3 over QUIC on the same port
number. A cleartext listener serves h2c with prior knowledge.

The entry uses the published Hex package nhttp 1.4.0, pinned in
rebar.lock. It subscribes to the H/1.1, H/2, h2c, H/3, latency, JSON,
static and WebSocket profiles. validate.sh nhttp passes 104 of 104
checks, including the h3 checks.

Type is emerging and mode is standard, with no VM flags.

Completeness:

  • routing: false. nhttp has no router. The handler matches the path.
  • middleware: false. nhttp has no handler pipeline.
  • request: false. nhttp does not parse the query string, so the entry
    parses it.
  • response: true. nhttp_resp:ok/2 sets status, headers and body in
    one call.

Static files: nhttp has no static file handler. The entry reads the
file on each request. It selects the .br or .gz variant from
Accept-Encoding, because the built-in negotiation of nhttp does not
support br.


PR Commands — comment on this PR to trigger (requires collaborator approval):

Command Description
/benchmark -f <framework> Run every test the framework subscribes to
/benchmark -f <framework> -t <test> Run one test only
/benchmark -f <framework> --save Run and save results (updates the leaderboard on merge)
/benchmark -f <framework> -t <test> --save Run one test and save results
/benchmark -f <framework> --compare <other> Measure the deltas against another framework instead of this one
/benchmark-multiple -f <fw1>,<fw2>,... Benchmark several frameworks in one run — takes -t and --save too; saved results land in a single commit
/benchmark-multiple --save No -f needed: benchmark and save every framework the PR touches
/benchmark-test -t <test> Benchmark all enabled frameworks subscribed to <test> and save the results

For /benchmark, always specify -f <framework>; the flags combine in any order. Results come back as a comment with a per-profile table of RPS, p99, CPU and memory — one table per framework on multi runs. A new benchmark comment while a run is in flight queues behind it (one deep) instead of cancelling it. For multi-framework PRs (dependency bumps, same-language refactors) prefer /benchmark-multiple, which runs everything in a single job and commits all saved results together, so no run overwrites another. --compare works on single-framework runs only.

What the deltas are measured against. By default, this framework's own results published on main - answering "did this change help?". When you are tuning a variant or a successor entry, --compare re-bases them on another entry instead:

/benchmark -f genhttp --compare genhttp-kestrel

The reply states which baseline it used, and profiles the other framework does not run show n/a rather than a delta.


Run benchmarks locally

You can validate and benchmark your framework locally with the lite script — no CPU pinning, fixed connection counts, all load generators run in Docker.

./scripts/validate.sh <framework>
./scripts/benchmark-lite.sh <framework> baseline
./scripts/benchmark-lite.sh --load-threads 4 <framework>

Requirements: Docker Engine on Linux. Load generators (gcannon, h2load, h2load-h3, wrk) are built as self-contained Docker images on first run.

@mrrubinos

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/benchmark -f nhttp

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👋 Benchmark request received. A collaborator will review and approve the run.

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Benchmark Results

Framework: nhttp | Test: all tests

Test Conn RPS Rate CPU/req p99 p99.9 CPU Mem Δ RPS Δ Mem
baseline 4096 1,253,119 — — — — 6656.8% 337MiB ~0% ~0%
pipelined 4096 6,092,979 — — — — 6224.8% 420MiB ~0% ~0%
limited-conn 4096 333,327 — — — — 4956.6% 708MiB ~0% ~0%
json-comp 4096 91,219 — — — — 6275.1% 1.0GiB ~0% ~0%
json-comp 16384 90,151 — — — — 6146.3% 1.1GiB ~0% ~0%
json-tls 4096 173,799 — — — — 6184.6% 1.9GiB ~0% ~0%
8gbit 512 48,734 0.9747 ⚠️ 328.10us 23320.0us 71072.0us 1723.7% 655MiB ~0% ~0%
static-tls 1024 119,053 — — — — 5545.0% 814MiB ~0% ~0%
baseline-h2 256 3,362,306 — — — — 6287.9% 509MiB ~0% ~0%
baseline-h2 1024 3,259,822 — — — — 6396.1% 766MiB ~0% ~0%
static-h2 256 137,111 — — — — 4873.9% 487MiB ~0% ~0%
static-h2 1024 145,931 — — — — 5764.4% 1.2GiB ~0% ~0%
baseline-h2c 256 3,958,571 — — — — 6293.6% 457MiB ~0% ~0%
baseline-h2c 1024 3,827,584 — — — — 6357.9% 706MiB ~0% ~0%
baseline-h2c 4096 3,513,274 — — — — 6360.9% 1.4GiB ~0% ~0%
json-h2c 1024 255,099 — — — — 5536.0% 975MiB ~0% ~0%
json-h2c 4096 259,955 — — — — 4547.0% 2.6GiB ~0% ~0%
baseline-h3 64 1,613,079 — — — — 5389.4% 426MiB ~0% ~0%
static-h3 64 31,369 — — — — 3298.4% 856MiB ~0% ~0%
echo-ws 512 706,244 — — — — 4319.7% 254MiB ~0% ~0%
echo-ws 4096 610,717 — — — — 3701.6% 417MiB ~0% ~0%
echo-ws 16384 554,237 — — — — 3751.5% 1.0GiB ~0% ~0%
echo-ws-pipeline 512 9,356,512 — — — — 6386.1% 319MiB ~0% ~0%
echo-ws-pipeline 4096 8,126,393 — — — — 4914.7% 931MiB ~0% ~0%
echo-ws-pipeline 16384 7,901,113 — — — — 4777.6% 2.7GiB ~0% ~0%
echo-ws-limited 512 506,189 — — — — 4314.5% 255MiB ~0% ~0%
echo-ws-limited 4096 515,921 — — — — 3882.6% 283MiB ~0% ~0%
latency-1m 1024 922,962 0.9230 ⚠️ 62.51us 5314560.0us 5371904.0us 5898.2% 326MiB ~0% ~0%
latency-10k 1024 9,983 0.9983 135.56us 138.0us 3329.0us 133.9% 246MiB ~0% ~0%
latency-500k-8cpu 1024 202,948 0.4059 ⚠️ 39.33us 11759616.0us 11988992.0us 774.5% 145MiB ~0% ~0%
async 32000 1,230,779 — — — — 6346.5% 908MiB ~0% ~0%

Composite score, main against this run, in the board's default view:

Family main this run Δ
HTTP/1.1 - 2033.6 (#65 of 103) -
HTTP/2 - 855.6 (#17 of 36) -
HTTP/3 - 396.2 (#13 of 20) -
WebSocket - 526.8 (#27 of 36) -

The results on main were measured in another session, so a few points up or down can be the machine and not the change.

Full log
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 10000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.002,
  "requests": 199682,
  "bytes": 12979330,
  "achieved_rate": 9982.91,
  "target_rate": 10000,
  "target_rate_end": 10000,
  "rate_ratio": 0.9983,
  "bytes_per_sec": 648889.38,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 0,
  "latency_us": {
    "min": 42, "mean": 87.8, "stdev": 493.8, "max": 29391,
    "p50": 69, "p75": 81, "p90": 97, "p99": 138, "p99_9": 3329, "p99_99": 23224
  },
  "status_codes": { "1xx": 0, "2xx": 199682, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": "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"
}
[info] CPU 133.9% | Mem 246MiB
[info] run 3 wins on score

=== Best: 9983 req/s (CPU: 133.9%, Mem: 246MiB) ===
[info] exact CPU: 27.07 core-seconds | 135.556 us/req
=== Fixed-rate: cpu/req 135.56us | p99 138.0us | p99.9 3329.0us | rate_ratio 0.9983 ===
[info] saved results/latency-10k/1024/nhttp.json
httparena-bench-nhttp
httparena-bench-nhttp

==============================================
=== nhttp / latency-500k-8cpu / 1024c (tool=zrk) ===
==============================================
[info] waiting for server...
[info] server ready

[run 1/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.006,
  "requests": 4060258,
  "bytes": 263916770,
  "achieved_rate": 202948.10,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.4059,
  "bytes_per_sec": 13191626.23,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 12147500,
  "latency_us": {
    "min": 56, "mean": 5922958.1, "stdev": 3418419.8, "max": 12156927,
    "p50": 5928960, "p75": 8876032, "p90": 10653696, "p99": 11759616, "p99_9": 11988992, "p99_99": 12070912
  },
  "status_codes": { "1xx": 0, "2xx": 4060258, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": "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"
}
[info] CPU 774.5% | Mem 145MiB

[run 2/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.008,
  "requests": 4015038,
  "bytes": 260977470,
  "achieved_rate": 200676.49,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.4014,
  "bytes_per_sec": 13043972.17,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 12245898,
  "latency_us": {
    "min": 63, "mean": 5976493.0, "stdev": 3445038.7, "max": 12255231,
    "p50": 5974016, "p75": 8957952, "p90": 10743808, "p99": 11841536, "p99_9": 12013568, "p99_99": 12111872
  },
  "status_codes": { "1xx": 0, "2xx": 4015038, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": 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"
}
[info] CPU 776.6% | Mem 144MiB

[run 3/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.008,
  "requests": 4000005,
  "bytes": 260000325,
  "achieved_rate": 199923.70,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.3998,
  "bytes_per_sec": 12995040.59,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 12241983,
  "latency_us": {
    "min": 61, "mean": 5990054.0, "stdev": 3447874.7, "max": 12255231,
    "p50": 5990400, "p75": 8974336, "p90": 10768384, "p99": 11849728, "p99_9": 11997184, "p99_99": 12161024
  },
  "status_codes": { "1xx": 0, "2xx": 4000005, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": 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"
}
[info] CPU 775.0% | Mem 147MiB
[info] run 1 wins on score

=== Best: 202948 req/s (CPU: 774.5%, Mem: 145MiB) ===
[info] exact CPU: 159.68 core-seconds | 39.327 us/req
=== Fixed-rate: cpu/req 39.33us | p99 11759616.0us | p99.9 11988992.0us | rate_ratio 0.4059 ===
[warn] offered rate fell short: rate_ratio=0.4059 (target 500000/s)
[warn]   the CPU number is not comparable with runs that held the rate
[info] saved results/latency-500k-8cpu/1024/nhttp.json
httparena-bench-nhttp
httparena-bench-nhttp

==============================================
=== nhttp / async / 32000c (tool=gcannon) ===
==============================================
[info] waiting for server...
[info] server ready

[run 1/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   26.10ms   24.30ms   31.20ms   38.80ms   773.90ms

  12167010 requests in 10.00s, 12135010 responses
  Throughput: 1.21M req/s
  Bandwidth:  76.37MB/s
  Status codes: 2xx=12135010, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 12135010 / 12135010 responses (100.0%)
[info] CPU 6169.2% | Mem 805MiB

[run 2/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   25.81ms   24.30ms   31.10ms   38.90ms   653.60ms

  12327340 requests in 10.00s, 12295340 responses
  Throughput: 1.23M req/s
  Bandwidth:  77.38MB/s
  Status codes: 2xx=12295340, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 12295340 / 12295340 responses (100.0%)
[info] CPU 6282.3% | Mem 917MiB

[run 3/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   25.76ms   24.40ms   31.10ms   37.80ms   604.20ms

  12339799 requests in 10.00s, 12307799 responses
  Throughput: 1.23M req/s
  Bandwidth:  77.45MB/s
  Status codes: 2xx=12307799, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 12307799 / 12307799 responses (100.0%)
[info] CPU 6346.5% | Mem 908MiB

=== Best: 1230779 req/s (CPU: 6346.5%, Mem: 908MiB) ===
[info] input BW: 56.34MB/s (avg template: 48 bytes)
[info] saved results/async/32000/nhttp.json
httparena-bench-nhttp
httparena-bench-nhttp
[info] rebuilding site/data/*.json
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/frameworks.json
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/results/nhttp.json - 31 new, 31 total
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/current.json
[info] done
[info] restoring loopback MTU to 65536

@MDA2AV

MDA2AV commented Nov 2, 2026

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/benchmark --save

@github-actions

github-actions Bot commented Nov 2, 2026

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👋 Benchmark request received. A collaborator will review and approve the run.

@github-actions

github-actions Bot commented Nov 2, 2026

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Benchmark Results

Framework: nhttp | Test: all tests

Test Conn RPS Rate CPU/req p99 p99.9 CPU Mem Δ RPS Δ Mem
baseline 4096 1,248,636 — — — — 6720.5% 429MiB ~0% ~0%
pipelined 4096 6,243,040 — — — — 6350.9% 421MiB ~0% ~0%
limited-conn 4096 314,842 — — — — 5077.6% 684MiB ~0% ~0%
json-comp 4096 111,414 — — — — 6316.8% 1.1GiB ~0% ~0%
json-comp 16384 99,670 — — — — 6395.1% 1.1GiB ~0% ~0%
json-tls 4096 164,308 — — — — 6132.8% 1.8GiB ~0% ~0%
8gbit 512 48,354 0.9671 ⚠️ 331.41us 7082.0us 35056.0us 1521.8% 613MiB ~0% ~0%
static-tls 1024 117,570 — — — — 5495.1% 840MiB ~0% ~0%
baseline-h2 256 3,330,219 — — — — 6415.2% 444MiB ~0% ~0%
baseline-h2 1024 3,242,569 — — — — 6277.4% 779MiB ~0% ~0%
static-h2 256 140,498 — — — — 5064.6% 493MiB ~0% ~0%
static-h2 1024 144,150 — — — — 5595.5% 1.2GiB ~0% ~0%
baseline-h2c 256 3,972,624 — — — — 6307.2% 451MiB ~0% ~0%
baseline-h2c 1024 3,709,031 — — — — 6353.5% 698MiB ~0% ~0%
baseline-h2c 4096 3,436,673 — — — — 6365.9% 1.5GiB ~0% ~0%
json-h2c 1024 296,377 — — — — 5500.5% 889MiB ~0% ~0%
json-h2c 4096 251,173 — — — — 5072.6% 2.6GiB ~0% ~0%
baseline-h3 64 1,588,204 — — — — 5645.8% 431MiB ~0% ~0%
static-h3 64 30,727 — — — — 3377.2% 922MiB ~0% ~0%
echo-ws 512 712,162 — — — — 4511.0% 255MiB ~0% ~0%
echo-ws 4096 599,899 — — — — 3694.6% 435MiB ~0% ~0%
echo-ws 16384 546,431 — — — — 3642.9% 1.1GiB ~0% ~0%
echo-ws-pipeline 512 9,259,961 — — — — 6248.5% 319MiB ~0% ~0%
echo-ws-pipeline 4096 8,115,497 — — — — 4937.4% 967MiB ~0% ~0%
echo-ws-pipeline 16384 7,827,747 — — — — 4790.8% 2.7GiB ~0% ~0%
echo-ws-limited 512 505,823 — — — — 4300.2% 254MiB ~0% ~0%
echo-ws-limited 4096 503,304 — — — — 4198.1% 271MiB ~0% ~0%
latency-1m 1024 849,190 0.8492 ⚠️ 66.99us 6252544.0us 6322176.0us 5817.7% 329MiB ~0% ~0%
latency-10k 1024 9,981 0.9981 134.81us 133.0us 279.0us 132.6% 252MiB ~0% ~0%
latency-500k-8cpu 1024 201,614 0.4032 ⚠️ 39.57us 11857920.0us 12079104.0us 771.3% 142MiB ~0% ~0%
async 32000 1,235,231 — — — — 6345.3% 1.1GiB ~0% ~0%

Composite score, main against this run, in the board's default view:

Family main this run Δ
HTTP/1.1 - 2110.4 (63 of 105) -
HTTP/2 - 855.8 (18 of 39) -
HTTP/3 - 389.6 (13 of 20) -
WebSocket - 521.4 (28 of 37) -

The results on main were measured in another session, so a few points up or down can be the machine and not the change.

Full log
  "duration_s": 20.002,
  "requests": 199639,
  "bytes": 12976535,
  "achieved_rate": 9980.86,
  "target_rate": 10000,
  "target_rate_end": 10000,
  "rate_ratio": 0.9981,
  "bytes_per_sec": 648755.91,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 0,
  "latency_us": {
    "min": 42, "mean": 87.2, "stdev": 592.0, "max": 40639,
    "p50": 70, "p75": 81, "p90": 95, "p99": 133, "p99_9": 279, "p99_99": 32680
  },
  "status_codes": { "1xx": 0, "2xx": 199639, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": "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"
}
[info] CPU 132.6% | Mem 252MiB
[info] run 3 wins on score

=== Best: 9981 req/s (CPU: 132.6%, Mem: 252MiB) ===
[info] exact CPU: 26.91 core-seconds | 134.807 us/req
=== Fixed-rate: cpu/req 134.81us | p99 133.0us | p99.9 279.0us | rate_ratio 0.9981 ===
[info] saved results/latency-10k/1024/nhttp.json
httparena-bench-nhttp
httparena-bench-nhttp

==============================================
=== nhttp / latency-500k-8cpu / 1024c (tool=zrk) ===
==============================================
[info] waiting for server...
[info] server ready

[run 1/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.007,
  "requests": 4033594,
  "bytes": 262183610,
  "achieved_rate": 201613.74,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.4032,
  "bytes_per_sec": 13104892.78,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 12187788,
  "latency_us": {
    "min": 72, "mean": 5946258.7, "stdev": 3444285.6, "max": 12197887,
    "p50": 5949440, "p75": 8916992, "p90": 10702848, "p99": 11857920, "p99_9": 12079104, "p99_99": 12128256
  },
  "status_codes": { "1xx": 0, "2xx": 4033594, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": 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uZHOZrGVknXzOzhYzVi7j5AtOJpO3c4U8v47jWNWCbRaypYJlOnY+k7ZLxUK9bKVLmXwpVXOqmWK+VKuXcpVcKZMu5VL5TDGbT6ez2WwoZ9q645CIbMm2HQiYtgkOVMjhtG1Wk1krmcpF0sm4XconHTOdzJadnJVPWpZpp+MZu2Bl7FzFBE6KhObTmZyVdZIZx8rZTjpuZtCaS8XyqUQ6SUMxnKwJrdOmw22KVpRyMpRSmvibMcdO2immipZhJzHgmPmilbdj6bhDw8jYYLPTeJwzQGY4cdtxYpm4QTNIZjKxQtyIZ/RsMhI3zIKZtItUXhreG06MzpnO0llTWcc2TTovBUwpJkwzY+b5JiwzGzZTuZQpesUGFWnG0pAVwjiZpEFo4JFpJllGLdDNrAR9I8cpy4rnoVQKlll0pzSZMtKZdMxCVQaRJCSmMnLZpA2JcThj01VTaVDiKwc4huOxVDaRJl7ZSBJLFocRh6Zn0DzopEYkm6HIkkbS5NyQSli6lTZylLc0YVOPWapTpyxdt206lZXkcEhDpzmyt6ST+EfZmPR68MUzKVpyypZ9w9IhKPsKW49ZlChCefYKI5WKZRNazjYjuhlhd4pkcEAaUIw9AG8ihINCyRghGhVGdM5YsZSTAhrdW5d2E09k9JQZM0isNE7TsimDhAU0qk46sk57Efxxk33GADutEFwSiRAQ0nFpgnEQsV8lY0YkQfXSkBNWOCX9iODwD+UPOQBOH09Y1FaErJlxFsRsnVanW6EUZW1EiDdFGRG0CQ6lMVKvDqgc91irG5GwwRkxoo7GMTnPJMNyauQMHnM48FHTcjjUExFOOwn+G478Fxz2ejZaDpO87fl1XiV0v/yHopgcC+RNhv8Kwos7p42grnG44L//cHDg3OL3JeMRg7KTPTiZhQ2GYbA7cX5mg46xDets/yGDvkM0CBvRJotxQ7fYgyEzCc/GaAiWaWbpakYkzSmBowDFpGdosEY619xcTyftajJnQC6pSTuUtVJ0wLKZpBUUSnY6S6+ksxE3M53PsJ0Wqcs0O7hh2jnq2sql2QbyRaOarlv5etFxaE/Fcr1e/NpSrn8qV3LlQjpTruYK2WxrOZMrlSr5eqn+p1SxkiiXmu22cjHvlMr5fCVTqVXLdZZnSq25cqlYtOvpdNlJl6u1Sr65Wq6UK9W2fDHfXGv+Uqi2trR9bqt+bW9v/tr66VOl9KVQqRZqpVy+JVvNlevNzS3pai3rlGv55ubsD8XWUq25rdj8pd3O1/LFXMau5gsYLRXqmVKhWijmq5l6sdRcaE5XHftzvVyrZotfi/XP7flca61SKrWkS5VaS66cbUk5xUyl4iio2Xo5l6tVKp9ydrmluVys5Co1YtBWdSplBqqt2ZKDcLZazWcLzTbtu1rJ/1DOt+Uq7bXWSrbYUszS4oulT5+K5UymWsrlsvl81qJv50qOlS8ZhXq2UrbKze2VcsHJG07JKhfyhWw5V6qWmp0sjT+bNcpx1tu5Ys5OFdkqSuU0jdy2SslCLlPMZM1MoppqkW0hb1WdDP2yYBdSRi5rp9kjnGShaOYyVtHJWlV6UdouZAo0EbPELpPOF2FNzjGsdCZjmgTFyabT+YJZKIazCFgVO+PY2VSa3bgEE4qhimNitdm0swmrmkvZ6TyAaJDJtJXj3JlLWOVEMeOYlplL59kmCjnZVeysUSg1ZzBSyaRyOSdbDrPDZHLJrG1mM2ZWei1bUjafylppoSjNPe+wq9nsihknEy+mkxlODlYKUHRrqJl0bCObszJlHILbTskmoBW7nk+X0AeN6TZQ3jRqdrqcTJZSWd1ynGq8bEVK2VQmlwC6Q8jteL5iECWU08xzdOdsLMNhoZiD92mrkMqauWw6mzY4hRjFIkdqw+EYxPaTyVC7NOA0B2eHemNfYbMq5O0MscmncxYnwWRBurhp5HRUZtkkMpzIOB5ScCQ+1/pT9ofmT8V6ttBWqzW3NxfqlbZartzS0txabi2UaqVia6XYlmmvfi5Xy83f1zPlT/VCgRqsprNOrr1Qtpur1EqpXG8tZLJOBhlqLZfJVVvb8pQbO3693a7DtlrBolA+5+08qpsrxXy+TP3nilRgGWLXK7l8Pl9r+VpphcLZopHNVO1iJt1ezGXL2Uop90P2nz99KaCcCqhUMl/tilPLl8ttbem2z6VyzSxnypVUKdcMcdOW8wUtxRxr7XrJrsRT5ULdsZxcjhZUsVty2UpLqQQtOCwUi3k6Tgmn2G1LhVwZQlqxbKFc5EXAqVVzlUKB6uNQkzXTbIxG2smm5PWDYi5lHANGFau5hJmNVQoJdu6sabcZBZN6LBTy2UrByidgVT5Po8vZGaifSuWy9bpdLDvFlJNLVy27XsjXSukMHcgqlXPNtXKbXRe+ZrJVjiCcyAq1bGsun62VmwufW2tZM2uWpSsUy4m08cmsNjvtnMGa22uQPV9o/SkHnUuZeir9Oddaz9WLBTHY7lTrmbZaoZirlarVyqfmQrElx2Oh1NpSpU/UKwWOeC2Y+drW3M6pD/dK9ZZypi1TKmfqRluh1lyrt5cqVfNrc6FWRa7QVmr9VKrn7Nbql9ZKS97J1nPN9ZJZdWq1fEtrpbneUvv8U3u95VOpkitWKq3lYnu+XK2Usl9b2/OfPrdWS8VKW7GdmqzXWj+XapVqpd7y0+effqg1t9RbaXOVTKn4uaW1jcacLX/+4fsvbZ+qzXUU/ZBvrucr7e3Veqlabm37Wv30b58IT9un8pdac3OtrfL1U7XWXP70fbW1/Wt7c/m7r81093rlXz7XWlprP7a10tZbPre1fa60tJS+a659qXxfrZWLLa1f/vyltfVLe8ufPrcUvzRnKj98bW6tf661fdea/9TMboA3331qb8m31b9U2r/+c3OxBqIv31E7f678WK5+qrZ+bv2xpdDyp5/qLW3V/Jd/bf/89XN7W+XHH8ulyo9O65dPVTz+/KfWfy6i9Icvn+r1z61fv3zf8lNrofA5/7W17YeWz1/afvxcb2mutbaW2798bf/S8rn2/Y+lau1f2mvffWpr/1yrt36tt9d//FL59OWnL19aWsjgd1//9N2nWrXWWv+x9fv2cmuu/VOx8qWlrfj5zy3f/wXaVOstX378X+xQpbZCS62luV5fdA26Rl0jrlXXzz2uBT6drn7XkmuD76zr5zFXn2uM+R7XEMNdrnHXvGvLNen686BrxtXtmmB63TXNxCQTG4wMMD7ItZ/RZdewq8O1yN2E6+dRhieYGEHxCHcziOy4phDrcPWi5m8TSqYLU0tqeAZ9k5gdd83xGWTRDKNz/A7wO8TIOGjXXL+OcXOg9G0y0IuCXwTyOAO/rijPphBbwkYPzk1xJ+oW+B1n2QTK1hSCIdc2AOZUEMaV1yNoXeY6z8g0ejZAfMzaSaSmkNhSWheQWXbtEYhNZvpw+k1BXmH9PE9HKjh9wB7E0jHfVZ53uG4pG9MEuocwLblO0DXGdVOFfwQNiyrMszyPIHHI+k1GVpDfQ6t4d8l9NzZktJPZTWTGFN55ZrdAtUN01kAosVnid4bPAPOjrn3md9CzjuYJ8By7JAkj/I4RC9E0pCK0DQLxdR0dK+iSxMwqHfLZwdK+osseOtaZG+Z+iJEFpBaZ30bLmorsDNczhWAIVLvKryEVgyPWrDM7icS6q9M9gv1+NbaM/kk+3cxuKVpsgm+d3y2ldUplYAo8h1iSzI2rCG+idZ37GRWFDfSu/EbMeYV1lpWnSKywZh1LvcRvQeVxnblVxmWNeDjJiiHFmCM8nVHUWgXPosI3wNMFM2vK6zkyPcf9jJIbYmzedQ4CiceYkj3gM6lWCgPGiO9fxrmsI/QeWqHQARPTqmCmMDOM4DHPA4BYJFxj6r6XuWFFslVWSqIGVdBmWd2HMwJ6Hmotu6TIJV39StMQK3uw14szs4qYY3z+vKQY+vMkIVlURTKtqD6kUi1O9avy71eJnGRu2PXrIEvngSHF2Kt4PqYM/SJr9l3/Kpz7udcly0aUzk7szqiCnGXk337t40lSPSJFu6FcFWN/7VOxGFSqh1XAF5GVMu3iuoD0MAnqdYmQpG4ZXH3SZWZUWxhS8ISJ84iNItTH+BRi4xj765jqH9Jtfhbnh1i5RBDBOquS3e/6VSSmALGk/PvllwGVqQ4C1wPCDaVpkrufu5Unfa5fB5Qrs4qtva5fhlz/PoBEt+oVU8qRCVWBf+tWHklp/btg+uuk62+ryus+lZ5RlVxppV0s6lbB68CLOeRHJOS9KtdSHMO4+uuw4rgM0Pn6mB1i+Spiv4yrapBq/7VHufOv84z0oHda1faA6xf8HFOWx1X3EzIMI9rPqIj8ZUS1H8nWv3UzKqzuwFanCnq/4viU628dyqNZ1y/DjPyli4lFVRjd6jvFoGwyf5lFdkB1pyFZ2q8a8KAK6JhqpIuKt79O/IYChdJAJYTKdXG5k5qRWh9F16DqK5Lr/z2kquJ9q+pQDJeQLKiC/2XiN4J0uf62gNCYapFTyrKo6FdhGlMF3q+aap9yblCtHVGBkm1iBSW0JlUDkurfkj/tkvJdJhLTatsapG+MsEyqYUlxpRfROcaEyrLXCEPW4OE6aRpTRTykdpoZpLrVfjDL3K7q/4OqbAZY3cGzFOOoYsIEVmV+VhXxrGvJve6+ca+4V90b7hP3tXvTPfBhzn3qnmNkz33o7v+wz++me5/5Sfex+9x94B75sOHecm8zNuOedb+5z9xXfE/cU2rdKtcXd8eHGeQukJrluszYmbvnwybPR+4ldzdautB86n5g5N51quzvo3ndPQqiU/cwmPo/jLoH3Jfub8wugbLTPQ6iNbQvu/s+dDM3DoIj5F7dO6zoYmSZddPIHqFnmrXP7lvXLKtW3X3M9H745ppE9zQrJ/F0i/UTyHWA/YrvjrI06+7Hu1lWTfO8zugUMovueRBsEINxEK0gM4aWI2bO3Qs8i84b97NL7hZYu68QL4BjQeGSeK0hs4X302g8ICaT6B5Bdo7PLONrxGOdtePIP7kWsb6mcG24h8A5xugienYZ7UfHFrpH1e8Usb7Bypz7zTWAtwvomVS2192vri4kBP0OTzM8z7sHeZpCywralkEwgu431zT538L/AXSOMzLF/SIoRd8I+BbdvSBa5X6T+y20DOK9jC8Q2R7uJ5Qfc2jtx6bEfQ8rPcxPoksyv853zv3iEh1L7s4PB3jWz1e8PkVe8jiBxjn41IetSb7bilXLaOwE1RJ8umLFAd4JggNWir8jRKkXtmwpz2dZs8rcMFZnWDnC/Te0r+DVLFJz6LxyPzIuHqyAc0l5e8jTDnPi1SQa+9HS8eECiSUQvLpE7hLOv8GqMebn4PUCd9fcCQvO0TeMb5K5rfd6QnKU2UUy9A1PB5Uv0zyvgfyImSVWTuP1Mne9H4aJxSb52WB+jrt1ZmeRHEf7BtYm8KDnw7ziZeeHcdbcYmcb65dILMPPjg/LaH9AdpBauZK64ukQyT33PWtHiKBIbzDW/WFX8eRRxWMVRML2E+Qkw+esnHI/IbnF2kcsDasK3AWHaH5xbbLmiOcHVomeA7dU9TFyx+gfR+Mt2MXetOoC5PjDEjjGeTpC4wP4D7ifx+YrHgy57/BlSfUV6SEHiqPSG4aQO8DGIVqOWCl1sKU+Z2jd5iOdZwIPz1j/XjtHjBxg7Rhk+3hyrRi+q3zbROKJq2gcVVpfuC4hN8T6ZbqDeNuLlh3WSd/rVnE4wJt5fJ9XzHl0Sy88QeMYK6VXboP4WPF2ld9VMKyr3imd6kplfc8t+Vlj/JAVO8gPKxRnyAoD58jQOWwRHy5VXztndI810iefXOfo2VZ83VJRvVf1soWmWa6nqk/sYu2QyjtlbAkrRyobEwrhKVjWFP5jbF7C6itk1tHyonAecjfOSpkdVjUjq4+QW1T9fIOnM+Iwh5X3ChXPJe/9at84A8We8muAqF4pj6+4f3MdgnVL9Wipeenw6ypXa+Rmm9ED/FkCUTerbvmdY3wOPEcqpxuqB8j3FOlrNTILyhXwvGBD+tCq6rIn5Ej62AnPh3h2wW+v2idmlfQyK++4X0NavDjmbpaVErV3hi0jda+qUHg6oXh9TjylJl5dF3BzFAy3+DWo6rwPFGfMDaF9gxjOsPMcYXVCZVj63iMrxrC6pPbRe9WZDli7rnarNWT3mdtAZgG8B6BYZWaSuFzzdAaWJbQeo2ddsX2M2UfGpc8uE89z0BwSM3nqxo5k9og8SgffAM0K8R1i9Qpfiah0qi13l3fJe+e594x6x73d3gfPlHfQu++Z9c56DzxvniXvm6fDO+Ht9Z54hr1DrBz1Dnu/ea488957zwDru71j3lPPOmN3nhWev3nG0LTP/JR32TPH9czzyPyJp5+VF55pb6f32dPn7ee+27vq3cTKgffQc+G5ZWTBs+MdRd8wqLaURAejm1yv0H7veULjnafLO+Dt8T6BpQt8YwrjGBrvPIveFzRtMbLn2WPkxjMCgntPJ/qePc94N4+mPu851xtQ9bFiiKcjNC96p7E14T3xrnK9BlMnst3EYxj/n9D6SJy2vZeece8K4/eeDXBsea5Bcew55P4UxPusfPbc49eLp9e34nn1PBHJDvRd4+kmyDq9C/jYh9Z90HZ5j7y3ngXvJhFcwosh7wF3c94NpX/e+8p1iZF1bL6yYhUso8iI17sg7vFOevdA0+c9A/2At9t3jbUh3zoxHPftYHPc981z6XkF343nG3ILngHfhHcXjOv4sob0E2sv0Lrv6WHm2HPH2hNwT5HPY+zeYX0T7Y9YGfUue9fANs94L/gWWLtEpOfU8zQjA95FVj0TqUlyPevdRqoT/4ewcwaXbj2r3h30z6kYz3pfiP6w9xWejDJyz8gKER3FYjcyu3g4hdczxGobZj15zr0j8OGIFU+eIyz3YmOJLC2wphPZJcktT3esX1B5GwbXLLiW0bcO0jfPBXed3gdyMum9JK5j3mN0LjDbiXdz2NziKiPCPfF1BOSrv+l/QWrNKzXy7NlH97Py6xEmCOJNJLu9kq974raN9jm86AbdHJFYQucYWA5BLLa2iPE22T4n0lJty+T/AS5ugWEUhA/EYxOZXq/Ecwgsy/gsmRdfZpG45E4YPcL9A98hfOlEdgcLwvdJrK3wO6Zkh1m7g7ZF5dMCmKYZneB3lrEB2DCIxBYaJr03eLqiWDrjvSJWW4xfgHMO+S3khrlbUAxYw9KwGhskSnNcV/B3iu86umcYG+dpSWVqjvX7YJ7C1gPsPiZO+4pDR8wMe2+xN4u9Z6JwRFQXiEg/mk/J5QIsf6EK9kEwh9YhIrcA0kVldRwPj4jAKvF5Be0qPDrkKtkYwvYGHi+yboK7Uep8iLtjdM8zPwkCybNEdVHpWlOa14nOiLI1r6KzRvz2GXuhXwnTLng6oWLWiM8NI53eb9gbBX8/ei5YNw/mbmZ20TPL6nF0TaF7m4zQ5dB3qDKyh60ergugvsDaMH5LTPdYMel9hIcjVMkj3afD90KWH3gehL3Sua/Qta6yscXojrqfQ34Ci1vEX6pwFGvLfKbg0zyzkq0VlY915BbBNwqyfWyNEOtJZve4ivwGUjNcF3laV7olu0fMLmBripVnijWPoKC+8XZZRXcTGamUdcWxLe73VRXNqYivoG9ePa2zZoznQ8XITT7TXqmAWcbF5p5at8X9FJER9t1yHWV8hdhcoHfQK9no8j5hdRU00lt3GD/A72mvMHZGrRYta0gecr+M3VXmNxV7lvjsMDcC8kVW7yt8B0hvcT+GzgXuzxXHLvFiynvHd5Rsj2PzCulFrhNcz1Wl7+H7jNI4x1Witcu6M6Wb7ofkJZp76X6zoL9XkZb+uoIWicK10nXD/TyZlkp7UtUvtndB1IfGI+438WXRK5WyiI4zvJrHtvBqBdsbyotDrNGzycsR95Nkd1Fdl7E81DjQuKsNNl5oT9p445Y21HilnWlzjQdcVxqPtSttuPFeW2Pulesk1zNtrHFD627satzR+hsvtWftXjtn1a22rz0yssvcEJo6Gt+0O+2bdqSNomFbW2tc57lf6ezF3jl6LrRjbaTxSTvVOhv7GjeR6W/c166xs6S9ILfNtYORQTQ8cn+I5A1rH7QTrQ+kMvrE8zGrXrQdxvqReWL9sfagDXD/xtgh167GI9aMK5Q9jY8geQDLJuiHuA5gfZXrSOM82gbw/gKZHsa6GjsaT0H8CKpTRq7A3QWGa+1V2+Mr3p9hebhxD7vdXF/QfaHdokes37JKcFzzvMuq4cZ+bQELw9jtaVwE0zA2+xs7QfGG7AHrXvHzGk93tRt0PqLtSFm65PkM+71EXaK6ThTmwCj+SmzfiOYk2Ne0ebTdYHeL+L9qW8x1KJkLvH5EzxmfF77djSsg7EfmlNV7zHQqmSvujpl50SRDj9i+QscZlh6430fbIyNXSD2x6pKPROGalSfoEU6coEXicKdiIKtPQCIx+0YUt7DzDT3dZE348qqt48Mt67vI3AsjB6w6UkzcBfci/t3g9xmW7+DSBGvvwdIJg27UnWTkm/q+sb4Hhhzw1AVvLsHQDQe6FAtHGiWKU3DqVeX0CY07aB5oFMTDip0jRGK08Ro0Y8iccD3F00msX1IHR8gNUAE98PsZGamHXa5rxPKB+yP0DzZKNDqQFn5doKkPzZLZPiK3pR03rqFxARsHXC+UJYn6syZVMNQo3H4D1T0zvY296BxG7pTrN6Sn4N+5NguqO3BK9XQhIR5tNY6AfqlxEh1bjXPo2KSS7n+L3yYSUoeXCrPweqBxjFw8wpd9PFkG1TPaT/BzFrz3eLuKvg6yMYsd8egVWxd40sO82H4CwxTR/YbGbfyWyPQ2SmWfk6UBvBmk6uaQ7wCD1OcR2LqI1ULjaOOEttrYzexaozDnFUnJWx8SE0gPYr0PHaswdBC9ffSVRW1GRUJYJpnubXznZgeMOGHdueouUuX9jdI5HsF/BYf7yNY1nz7kXmHYMX6cqx5wqEbvVMW+EqVvfEXnK+PPRPyE+zHmhQdXim29Kq+XSuqJDA0wLhXa3SgW5onDFbE5UnJv2grzksF+uL6PbAerrtTTGhE/JBdTSHQwvgenhAXf0N3RKJwVju0qTw6UV4Kog8j3wIBHVUPSe1943gbpK32om0gdqm54o/zsbBTvbvH0VROUM0hfYlFqYYxVG9oh/N8nPw90nXvGVsnPKAwa5bqMd4tweUXbAcGGtksWnpk5wLrsC1dYEga9wZR57CzAP7nfw6vVxmlsir1bInCtuskwcRC0sn9MkeMuOu4muiZgnuwXR8SzB7TCkSfFhC7Vjwb/fyYl6g9ce5iXOj5TO8g5kRG/n1UfvlT71z4V+0C/GYIhm9zfsLIf/i2D/1kTHG/4KzF81aRjvWnC604k31QfkHnhxggjd2rHkr1GEPbjzQ0e3KhIntO7lonFIV6+aJJD8W8EL2Rf+QZvJBtibxDvhTOnale50qTLPBHbFe6XtHXFYPFun2unsvdA1GTPvFAsOSMiK2Trgmxtce3B6hMor36LsOzhwsxn5Y/s1K+qLi4VA85Z+aT2l0e1Yw5S/y/aY3Q/uhkd1A+ja9Ex/TG6GJ3S96K70S79LnoVvYg+RN+iG9EO/Sl6GF2N9upn0b3obfQkesbsNuueeVqPDusn0YPoTfQ4Os/aeyRu+GxEv0Vno536bnQ5OqLPRbeiQ/oM9rr1oei4PhF9Qv9YdFrfjC5ERxnbx9Zw9BHNM9ztRldYuQ66SywsY2kJDBdo3YpeI/eNu6noPBoH0bYQnYvO6dPgOkdHn34bnQblNZIvaDoH9V30FS1njJ2g4VlhvAPvJFJbeHas7O1h/Zzni+i7p0/RIeTeiM42np1wvUfqPrqD9CWfLSL0gIU+/ZSnG2QlZmeMT+gb4J3Vx1k/h3ed+jd8eWXVETGew/4l2Deim/okNvv1ebJwQBRH9UH0L+g9WB3QR/BzGOkxIr8YXUbbAbGcBlmfPkaWOvRlsG8T+R59EeudXB8Yn0LjOTEZJLr7WD3ieovtE3QfcHeuonjLtRPpG0YlSm9E9IHVcyoLC+g8IYLf+N4wPo/EGz5c4+Meul5YcY13G6x9Y43wZRvJb9FJvN9lRDj0RNRfuNtTMT+BA0PEZUbvZaXE5QnNs8i/REfw5D46geYO5dsB0sKpM9bvKC7ss1rieQPuMxCfKNSCZpPnMzJ4R6b2VPxXwHEc7UNuldkLZPuJ+jSRXIsK/8ajp4oJ+/iwqLTMo11snGLtLioxvWNuAWtXRKSXeK4Sp2P8uQb7JU83IF3C3jX3V6A8wI8VPDlRNbPB87maPUXbGXGVGD2yogtdmyC7hNNdxPgUHncSmXn9LfJE1GfAt0PORvVZ5l+jPeT8iciskN256K7eL3UATx5hyDh+SQ469Qv0D8CHbSIqVbYGxguw9GFnGI2zaOynUh6J2j0ZGOF3kEifYGOJ7Kzi/y1RuAXBBsiFNausmGGkl8oQnt/g4SKRFY87Qb6iOsGjqstXfpe4HrPqlBXXyN+rLL0xLhGbB4VU3QHfLvAdK7ackLMR/YjcDMKai98sHxHHfVWtx+BaY0ziOwCya5WRW9Vfzpg9QaafaEzqD9FvkSUid0r0R9F5rBCfKXQPrNzH7s5vkRnWB4jMPWtl7Bmk0gUOFWdvyc4TOG5VpQiSAyxIFUzStzqI54HqJBvgv1X5ved5EH6dole4e8yKISr7lZlVlXnpFzsguUPjgup982RdkEjUhtG+Hl2ksndBsUOW+/R9EE3q3SAf018j02CbVBE6V1V3QJ4ndOHiAL4+KO5+4yq1Mcv4kWLWEXaWyech+B5A0kU/uFHMv8PSGUiueNpTWEfI8RIWtpjdZ6afu2We1xR7j8iB8EZ6ivTWK54lTjtEQeJ7pGp/DhRd6BoD83a0F5b1gKdL/xYRzj9HukEywfqbqHT9Z1VLh3SdVzDsqR61B7+GsDCF7Ca8ndJXFHaqFvYv4vNOdJR4Sdd5VX14V9WjRFj2omdVvdK/31SULlg1D16JsETkmJiusEZ4coU/byqeT1J9xPwFHdIvb8n5DleprQOYfqqq6hQNwt8Oni+QOSbigngAvSfw6gCpZ+Rl1+wnTtITunXRJ325V1XyEHW6ojqrzG1jWzq31Msa2u5UzufxaZSr1Nm+qmz2Our3gt1yFOt9xOeO8TWsSa5k3SV+SAeXmrpWvL8Fs1TNIRKP7Kmd9JDN3/rzI5KqSpo2m56a+pvumg6ahpuumzaa5ppumvaaBpuOm86bvqUnGJluOuFupGm/6TK92LTdNNB0lb5t6mDNVNNoUxdzu03jTZNNd8xONs0yssHsS/qA+z6kV5l9Ss82XTE21jSjLC2y4g25fn4XkBpmzWN6j+tDeg2JyaZltC827XBdR2aF717TUNMY6Hb4nWi6BGEXK7+hYQDkZ03d4Jzgd50VS/hxgvwbFtaaupxxRr+hpQ8U8+DbQGabtTdYvmfdHRpGGbnB6xWkNlh9jYXFpjFnknXXTS9ovWTFQ1OHs43Oe+JxwLfHmWKs09nD0ktTrzPTtNv0CP5H7Aw4R/hx3nSB7AU6d/Bhu+kQbdM89TrDeDXijHA9xfJregPbN2SkD30rTZ1gvmD9Y/qpaQs9y3h3i9xr+hK/39L36FklxjfK73m8vCcWG3g4ybhYnAD/HPZ78e0BXCfpExDMoXmO+T5WbWF7lM+GQrSM5Dr5mMK/Edbs8bTH0zVji6x9JNe3ILokTwdgPGLuDetHPJ8gs4atM2J/y/eadQegOkTvLLNLzO4rLKfcr388+rjM5/jjyseBj6PpgY+vdu/He/uN6579YI98fLH37JWP5/aqPcRIB6sm7P6PIx+X7V175uONvWVPf9y3r+1h7pfshY/P9pw99fGR++6PvR9n7S7uz/gMfLy179B7bN/Ygx830H1r79vPjO/Yl/ajvYOdfXvbnrS77ev/8frH4z8O/PHZXP5j5x+PzQVz/58W/2nsn65TJ6nt1EzqMLWRevnvHalnY9VYNOaMxz8MGiPGzR+u/tBjjPxh4w+bf1j+x7N/WPiHq/hN/PDvn2Jdfz8V2/xv53SaocjT7xcjr78/+f3D7+9+P/L7p3BHeC90Epz+uyfeL15+d/q7jd+N/27Qf+jpcK/yv+X5m8P/dcL/Ax3OW1g="
}
[info] CPU 771.3% | Mem 142MiB

[run 2/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.008,
  "requests": 3958708,
  "bytes": 257316020,
  "achieved_rate": 197860.41,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.3957,
  "bytes_per_sec": 12860926.72,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 12385127,
  "latency_us": {
    "min": 65, "mean": 6030342.4, "stdev": 3475248.9, "max": 12394495,
    "p50": 6035456, "p75": 9039872, "p90": 10842112, "p99": 11931648, "p99_9": 12128256, "p99_99": 12226560
  },
  "status_codes": { "1xx": 0, "2xx": 3958708, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": 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"
}
[info] CPU 772.4% | Mem 144MiB

[run 3/3]
{
  "zrk_version": "2.3.0",
  "target": { "url": "http://localhost:8080/baseline11?a=1&b=2", "method": "GET" },
  "config": { "connections": 1024, "launched": 1024, "duration_s": 20.000, "closed": false, "target_rate": 500000, "timeout_ms": 2000, "deadline_ms": 0, "deadline_abort": false, "record_timeouts": true },
  "duration_s": 20.008,
  "requests": 3964659,
  "bytes": 257702835,
  "achieved_rate": 198158.34,
  "target_rate": 500000,
  "target_rate_end": 500000,
  "rate_ratio": 0.3963,
  "bytes_per_sec": 12880291.87,
  "error_rate": 0.000000,
  "max_schedule_lag_us": 12329080,
  "latency_us": {
    "min": 58, "mean": 6020160.1, "stdev": 3468764.4, "max": 12337151,
    "p50": 6019072, "p75": 9023488, "p90": 10825728, "p99": 11915264, "p99_9": 12079104, "p99_99": 12193792
  },
  "status_codes": { "1xx": 0, "2xx": 3964659, "3xx": 0, "4xx": 0, "5xx": 0 },
  "errors": { "connect": 0, "read": 0, "write": 0, "timeout": 0, "deadline": 0, "non_2xx_3xx": 0 },
  "latency_histogram": 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"
}
[info] CPU 774.2% | Mem 146MiB
[info] run 1 wins on score

=== Best: 201614 req/s (CPU: 771.3%, Mem: 142MiB) ===
[info] exact CPU: 159.61 core-seconds | 39.569 us/req
=== Fixed-rate: cpu/req 39.57us | p99 11857920.0us | p99.9 12079104.0us | rate_ratio 0.4032 ===
[warn] offered rate fell short: rate_ratio=0.4032 (target 500000/s)
[warn]   the CPU number is not comparable with runs that held the rate
[info] saved results/latency-500k-8cpu/1024/nhttp.json
httparena-bench-nhttp
httparena-bench-nhttp

==============================================
=== nhttp / async / 32000c (tool=gcannon) ===
==============================================
[info] waiting for server...
[info] server ready

[run 1/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   25.83ms   23.80ms   31.90ms   39.70ms   812.10ms

  12318344 requests in 10.00s, 12286344 responses
  Throughput: 1.23M req/s
  Bandwidth:  77.32MB/s
  Status codes: 2xx=12286344, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 12286344 / 12286344 responses (100.0%)
[info] CPU 6200.8% | Mem 1014MiB

[run 2/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   25.70ms   24.00ms   32.10ms   40.60ms   662.40ms

  12384316 requests in 10.00s, 12352316 responses
  Throughput: 1.24M req/s
  Bandwidth:  77.74MB/s
  Status codes: 2xx=12352316, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 12352316 / 12352316 responses (100.0%)
[info] CPU 6345.3% | Mem 1.1GiB

[run 3/3]
gcannon v0.5.3
  Target:    localhost:8080/
  Threads:   64
  Conns:     32000 (500/thread)
  Pipeline:  1
  Req/conn:  unlimited (keep-alive)
  Expected:  200
  Duration:  10s


  Thread Stats   Avg      p50      p90      p99    p99.9
    Latency   25.71ms   24.10ms   32.20ms   40.50ms   607.90ms

  12362165 requests in 10.00s, 12330165 responses
  Throughput: 1.23M req/s
  Bandwidth:  77.60MB/s
  Status codes: 2xx=12330165, 3xx=0, 4xx=0, 5xx=0
  Latency samples: 12330165 / 12330165 responses (100.0%)
[info] CPU 6406.5% | Mem 1.1GiB

=== Best: 1235231 req/s (CPU: 6345.3%, Mem: 1.1GiB) ===
[info] input BW: 56.54MB/s (avg template: 48 bytes)
[info] saved results/async/32000/nhttp.json
httparena-bench-nhttp
httparena-bench-nhttp
[info] rebuilding site/data/*.json
[purged stale] pyronova.json (pyronova)
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/frameworks.json
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/results/nhttp.json - 31 new, 31 total
[updated] /home/diogo/actions-runner/_work/HttpArena/HttpArena/site/data/current.json
[info] done
[info] restoring loopback MTU to 65536

@MDA2AV

MDA2AV commented Nov 2, 2026

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Please set "type" to experimental

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2 participants