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perf: Update aggregated performance analysis [ci skip]

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AGGREGATED-PERFORMANCE.md
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# UN Inception: Aggregated Performance Analysis
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**Analysis Date:** 1769732494.6057673
**Reports Analyzed:** 4.2.0, 4.2.10, 4.2.11, 4.2.12, 4.2.13, 4.2.14, 4.2.15, 4.2.16, 4.2.17, 4.2.18, 4.2.19, 4.2.20, 4.2.21, 4.2.22, 4.2.23, 4.2.24, 4.2.25, 4.2.26, 4.2.27, 4.2.28, 4.2.29, 4.2.3, 4.2.30, 4.2.31, 4.2.32, 4.2.36, 4.2.37, 4.2.38, 4.2.4, 4.2.46, 4.2.5, 4.2.50, 4.2.6, 4.2.7, 4.2.8, 4.2.9
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**Analysis Date:** 1769879566.6617892
**Reports Analyzed:** 4.2.0, 4.2.10, 4.2.11, 4.2.12, 4.2.13, 4.2.14, 4.2.15, 4.2.16, 4.2.17, 4.2.18, 4.2.19, 4.2.20, 4.2.21, 4.2.22, 4.2.23, 4.2.24, 4.2.25, 4.2.26, 4.2.27, 4.2.28, 4.2.29, 4.2.3, 4.2.30, 4.2.31, 4.2.32, 4.2.36, 4.2.37, 4.2.38, 4.2.4, 4.2.46, 4.2.5, 4.2.50, 4.2.51, 4.2.6, 4.2.7, 4.2.8, 4.2.9
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**Analysis Date:** 1769891003.3041687
**Reports Analyzed:** 4.2.0, 4.2.10, 4.2.11, 4.2.12, 4.2.13, 4.2.14, 4.2.15, 4.2.16, 4.2.17, 4.2.18, 4.2.19, 4.2.20, 4.2.21, 4.2.22, 4.2.23, 4.2.24, 4.2.25, 4.2.26, 4.2.27, 4.2.28, 4.2.29, 4.2.3, 4.2.30, 4.2.31, 4.2.32, 4.2.36, 4.2.37, 4.2.38, 4.2.4, 4.2.46, 4.2.5, 4.2.50, 4.2.51, 4.2.52, 4.2.6, 4.2.7, 4.2.8, 4.2.9
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## Executive Summary
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Analysis of 36 performance reports reveals **significant variance** in execution metrics across releases. Different languages rank as slowest/fastest in different runs, indicating **non-deterministic execution patterns** likely caused by:
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Analysis of 37 performance reports reveals **significant variance** in execution metrics across releases. Different languages rank as slowest/fastest in different runs, indicating **non-deterministic execution patterns** likely caused by:
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Analysis of 38 performance reports reveals **significant variance** in execution metrics across releases. Different languages rank as slowest/fastest in different runs, indicating **non-deterministic execution patterns** likely caused by:
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1. **Orchestrator placement on CPU-bound pool** (not an SRE best practice)
2. **Resource contention** between the orchestrator & test jobs
@ -64,11 +73,17 @@ Analysis of 37 performance reports reveals **significant variance** in execution
| 4.2.5 | 67s | v (114s) | erlang (44s) | -157s (-70.1%) |
| 4.2.50 | 183s | go (480s) | fortran (107s) | +116s (+173.1%) |
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| 4.2.6 | 54s | haskell (128s) | awk (23s) | -129s (-70.5%) |
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| 4.2.51 | 162s | go (425s) | powershell (50s) | -21s (-11.5%) |
| 4.2.6 | 54s | haskell (128s) | awk (23s) | -108s (-66.7%) |
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| 4.2.51 | 162s | go (425s) | powershell (50s) | -21s (-11.5%) |
| 4.2.52 | 136s | go (393s) | awk (48s) | -26s (-16.0%) |
| 4.2.6 | 54s | haskell (128s) | awk (23s) | -82s (-60.3%) |
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| 4.2.7 | 117s | typescript (319s) | dotnet (5s) | +63s (+116.7%) |
| 4.2.8 | 111s | kotlin (313s) | fortran (28s) | -6s (-5.1%) |
| 4.2.9 | 107s | ruby (279s) | d (19s) | -4s (-3.6%) |
@ -121,8 +136,13 @@ The same language changes dramatically in rank between runs:
- 4.2.5: 60s
- 4.2.50: 241s
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- 4.2.51: 70s
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- 4.2.51: 70s
- 4.2.52: 160s
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- 4.2.6: 50s
- 4.2.7: 155s
@ -164,8 +184,13 @@ The same language changes dramatically in rank between runs:
- 4.2.5: 52s
- 4.2.50: 223s
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- 4.2.51: 250s
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- 4.2.51: 250s
- 4.2.52: 88s
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- 4.2.6: 47s
- 4.2.7: 313s
@ -207,8 +232,13 @@ The same language changes dramatically in rank between runs:
- 4.2.5: 102s
- 4.2.50: 157s
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- 4.2.51: 135s
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- 4.2.51: 135s
- 4.2.52: 158s
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- 4.2.6: 42s
- 4.2.7: 146s
@ -250,8 +280,13 @@ The same language changes dramatically in rank between runs:
- 4.2.5: 61s
- 4.2.50: 119s
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- 4.2.51: 81s
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- 4.2.51: 81s
- 4.2.52: 211s
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- 4.2.6: 52s
- 4.2.7: 58s
@ -293,8 +328,13 @@ The same language changes dramatically in rank between runs:
- 4.2.5: 51s
- 4.2.50: 152s
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- 4.2.51: 141s
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- 4.2.51: 141s
- 4.2.52: 158s
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- 4.2.6: 42s
- 4.2.7: 148s
@ -342,9 +382,14 @@ The same language changes dramatically in rank between runs:
4.2.5: erlang, awk, bash, deno, tcl
4.2.50: fortran, csharp, bash, ocaml, python
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4.2.51: powershell, prolog, javascript, python, forth
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4.2.51: powershell, prolog, javascript, python, forth
4.2.52: awk, prolog, perl, objc, fortran
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4.2.6: awk, powershell, crystal, raku, erlang
4.2.7: dotnet, deno, awk, fortran, commonlisp
4.2.8: fortran, groovy, crystal, java, powershell
@ -385,9 +430,14 @@ The same language changes dramatically in rank between runs:
4.2.5: v, haskell, scheme, ocaml, powershell
4.2.50: go, groovy, awk, javascript, erlang
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4.2.51: go, php, clojure, lua, perl
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4.2.51: go, php, clojure, lua, perl
4.2.52: go, python, ruby, typescript, rust
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4.2.6: haskell, go, cpp, rust, forth
4.2.7: typescript, ruby, r, elixir, crystal
4.2.8: kotlin, python, javascript, tcl, raku
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### 4. API Health Trends
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**Overall API Health:** 0.0/100 (avg across 5 releases)
**Trend:** STABLE
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**Trend:** IMPROVING
**Total Retries (all releases):** 2735
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**Overall API Health:** 8.9/100 (avg across 7 releases)
**Trend:** IMPROVING
**Total Retries (all releases):** 2768
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| Release | Health Score | Total Retries | 429 (Rate Limit) | 5xx (Server) | Timeout | Connection |
|---------|--------------|---------------|------------------|--------------|---------|------------|
@ -420,9 +476,14 @@ The same language changes dramatically in rank between runs:
| 4.2.46 | 0/100 | 146 | 0 | 146 | 0 | 0 |
| 4.2.50 | 0/100 | 58 | 0 | 58 | 0 | 0 |
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| 4.2.51 | 28/100 | 36 | 0 | 36 | 0 | 0 |
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| 4.2.51 | 28/100 | 36 | 0 | 36 | 0 | 0 |
| 4.2.52 | 34/100 | 33 | 0 | 33 | 0 | 0 |
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**Interpretation:**
- **Score 95-100:** API healthy, tests pass on first attempt
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| Language | Min (s) | Max (s) | Avg (s) | Range (s) | Variance % |
|----------|---------|---------|---------|-----------|------------|
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| DOTNET | 5 | 1539 | 167.0 | 1534 | 30680.0% |
| R | 9 | 1834 | 225.7 | 1825 | 20277.8% |
| NIM | 8 | 1557 | 171.5 | 1549 | 19362.5% |
@ -621,6 +683,28 @@ Keep it as-is for stress testing, but in separate test environment.
| OCAML | 19 | 1537 | 168.8 | 1518 | 7989.5% |
| TCL | 20 | 1572 | 181.5 | 1552 | 7760.0% |
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| DOTNET | 5 | 1539 | 164.3 | 1534 | 30680.0% |
| R | 9 | 1834 | 222.7 | 1825 | 20277.8% |
| NIM | 8 | 1557 | 169.7 | 1549 | 19362.5% |
| CLOJURE | 8 | 1549 | 175.8 | 1541 | 19262.5% |
| FORTRAN | 8 | 1547 | 135.6 | 1539 | 19237.5% |
| PERL | 8 | 1546 | 172.9 | 1538 | 19225.0% |
| D | 8 | 1545 | 136.0 | 1537 | 19212.5% |
| ZIG | 8 | 1542 | 214.4 | 1534 | 19175.0% |
| FORTH | 8 | 1540 | 169.1 | 1532 | 19150.0% |
| KOTLIN | 8 | 1536 | 150.1 | 1528 | 19100.0% |
| CSHARP | 8 | 1534 | 157.4 | 1526 | 19075.0% |
| LUA | 9 | 1548 | 198.1 | 1539 | 17100.0% |
| PROLOG | 9 | 1540 | 123.5 | 1531 | 17011.1% |
| RUST | 9 | 1537 | 184.7 | 1528 | 16977.8% |
| SCHEME | 15 | 1574 | 165.1 | 1559 | 10393.3% |
| OBJC | 17 | 1559 | 151.2 | 1542 | 9070.6% |
| POWERSHELL | 14 | 1269 | 124.8 | 1255 | 8964.3% |
| PYTHON | 19 | 1574 | 162.4 | 1555 | 8184.2% |
| OCAML | 19 | 1537 | 167.7 | 1518 | 7989.5% |
| TCL | 20 | 1572 | 180.9 | 1552 | 7760.0% |
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@ -708,9 +792,14 @@ Individual Reports → Aggregation Script → Chart Generation (via UN) → Fina
- `reports/4.2.5/perf.json` - 658 tests, generated 2026-01-19T19:10:23Z
- `reports/4.2.50/perf.json` - 860 tests, generated 2026-01-30T00:20:38Z
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- `reports/4.2.51/perf.json` - 860 tests, generated 2026-01-31T17:11:41Z
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- `reports/4.2.51/perf.json` - 860 tests, generated 2026-01-31T17:11:41Z
- `reports/4.2.52/perf.json` - 860 tests, generated 2026-01-31T20:22:30Z
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- `reports/4.2.6/perf.json` - 642 tests, generated 2026-01-19T20:22:16Z
- `reports/4.2.7/perf.json` - 631 tests, generated 2026-01-23T09:36:18Z
- `reports/4.2.8/perf.json` - 645 tests, generated 2026-01-23T10:01:33Z
@ -912,8 +1001,12 @@ For questions about this methodology or to report issues:
**Generated by UN Inception Performance Analysis Pipeline**
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**Analysis Date:** 2026-01-29T19:21:34.732904
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**Analysis Date:** 2026-01-31T12:12:46.788611
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**Analysis Date:** 2026-01-31T15:23:23.428600
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**Report Version:** 1.0.0