Fix SWAP-MTX: Fisher-Yates shuffle was never actually shuffling correctly
Found while building the analysis report for the ACL-RWT relaunch campaign: cfg=0 was missing from run coverage for 2 of 3 seeds, reproduced identically across all three architectures. Root-caused rather than worked around, per Captain Bob's "this is worrisome." SWAP-MTX (capsules/doe.4th Block 2104) never actually swapped two RUN-MATRIX cells -- it performed a lossy one-way copy (second MATRIX! call mis-targeted mat[i] again instead of mat[j]). Confirmed by direct empirical test on the hosted build: INIT-MATRIX gives mat[0]=0, mat[5]=5; after 0 5 SWAP-MTX, mat[0]=0 (unchanged, should be 5) and mat[5]=0 (correct), with the original value 5 permanently destroyed. Every Fisher-Yates shuffle this mechanism has ever run silently duplicated some values and dropped others -- not a true permutation. Not new, not introduced by item 4.6/Stadium work; predates this session. Fixed with explicit temp variables (SW-I/SW-J/SW-VI/SW-VJ), trivially verifiable by inspection over clever stack juggling. Verified on the hosted build for all three seeds used by the relaunch campaign: each now produces all 16 cfg values exactly 30 times, run_id 0-479 fully distinct. Three-arch QEMU acceptance clean: 1012/0/0 POST on all three, identical dict_hash (expected -- doe.4th isn't C-registered or auto-loaded at boot). BLOCK_MAP.md correctly shows only doe.4th's own hash changed. Also includes the R analysis/chart pipeline (analyse_stadium_relaunch.R) built for the relaunch campaign report, and the three acceptance boot logs. Retroactive caveat: the relaunch campaign's own run-matrix coverage (experiments/bare_metal/runs/acl-rwt-20260820/) is not a valid uniform permutation, having run against the buggy shuffle. Whether to re-run it against the fix is a separate call, not made here. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
This commit is contained in:
Robert Allan James
co-authored by
Claude Sonnet 5
Claude Sonnet 5
parent
79d160c1ca
commit
7e2fd9f044
+67
@@ -1993,3 +1993,70 @@ number.** `capsules/ACL.4th` is not self-activated in this repo's default `init.
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other boot in this document. Reproducing the original `+0.0054%–+0.0088%` measurement would
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need a paired run (ACL enabled vs. disabled) using this now-validated mechanism and tooling —
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scoped but not attempted here.
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## N. `SWAP-MTX` real correctness bug found and fixed — Fisher-Yates shuffle was never actually shuffling correctly — 2026-08-20
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While building the analysis/report for Section M's campaign, `cfg` (one of 16 L8 factor
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configs) was found completely absent from `run_id`'s output for 2 of the 3 seeds (12345,
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13579), present for the third (67890) — reproduced identically across all three architectures
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for a given seed. Captain Bob: "this is worrisome" — root-caused rather than worked around.
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**Root cause, confirmed by direct trace and empirical test, not just code reading: `SWAP-MTX`
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(`capsules/doe.4th` Block 2104, feeding `SHUFFLE-MATRIX`'s Fisher-Yates permutation) does not
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swap — it performs a lossy one-way copy.**
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```forth
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: SWAP-MTX ( i j -- )
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OVER MATRIX@ >R
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OVER MATRIX@ ROT MATRIX! \ writes mat[i] back into mat[i] -- a no-op, NOT mat[j]!
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R> SWAP MATRIX! ; \ writes old mat[i] into mat[j] -- only half a swap
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```
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Direct empirical test on the hosted build: `INIT-MATRIX` gives `mat[0]=0, mat[5]=5`. After
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`0 5 SWAP-MTX`: `mat[0]=0` (unchanged — should have become `5`), `mat[5]=0` (correctly
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received old `mat[0]`, but the original value `5` is destroyed, never written anywhere). Every
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"Fisher-Yates shuffle" this mechanism has ever performed silently duplicates some values and
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permanently destroys others — not a true permutation. This directly explains the `cfg`
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absence pattern in Section M and calls into question the "Fisher-Yates shuffled" claim for
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**every** historical `EXEC-DOE`/`DOE` campaign run with this code, including the original
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ACL-RWT campaign (June 2026) Section M's own methodology was modeled on. Not new, not
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introduced by item 4.6/Stadium work — this bug predates this session entirely.
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**Fix — explicit temp variables, no clever stack juggling (trivially verifiable by
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inspection):**
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```forth
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VARIABLE SW-I VARIABLE SW-J VARIABLE SW-VI VARIABLE SW-VJ
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: SWAP-MTX ( i j -- )
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SW-J ! SW-I !
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SW-I @ MATRIX@ SW-VI !
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SW-J @ MATRIX@ SW-VJ !
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SW-VJ @ SW-I @ MATRIX!
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SW-VI @ SW-J @ MATRIX! ;
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```
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Block 2104 stayed within both the 1024-byte and 16-content-line block limits (`mkcapsule
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--lint` clean); one line needed a `VARIABLE`-name shortening (`SWAP-*` → `SW-*`) to fit the
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64-char/line limit.
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**Verification, hosted build, all three seeds used by Section M's campaign:** `12345 30
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EXEC-DOE`, `67890 30 EXEC-DOE`, `13579 30 EXEC-DOE` each now produce exactly 480 rows, all 16
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`cfg` values represented exactly 30 times each, `run_id` 0–479 fully distinct — a genuine
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uniform permutation for the first time. Confirmed by piping the stripped capsule source
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directly into the hosted binary (same method as Sections K/L), not by QEMU boot — `doe.4th`
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is capsule-level FORTH content, outside the C-registered `test_runner`/`WordTestSuite`
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harness's scope entirely, so this is the correct verification method for this class of fix,
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not a shortcut around it.
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**Three-arch QEMU acceptance, clean:** amd64/aarch64/riscv64 all booted to `ok>`, identical
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`1012/0/0` POST totals and identical `dict_hash=0x5935ce53526d2152` on all three (expected —
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`doe.4th` isn't C-registered and isn't auto-loaded at boot, so base-dictionary content is
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untouched by this fix). `capsules/BLOCK_MAP.md` correctly shows only `doe.4th`'s own capsule
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hash changed (`0xb6ecf5374e8ee77c` → `0xf154616d248e861f`); every other capsule's hash
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unchanged, confirming the fix is isolated to its own file.
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**Retroactive caveat, not re-litigated here:** Section M's campaign (all 9 cells, `experiments/
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bare_metal/runs/acl-rwt-20260820/`) ran with the buggy shuffle — its per-run-matrix coverage
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is not a valid uniform permutation, though total row count (480/cell) and the mechanism's
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completion/error-free behavior are unaffected by this bug and remain valid findings. Whether to
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re-run Section M's campaign against the fixed shuffle is Captain Bob's call, not made here.
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+10
-10
@@ -1,5 +1,5 @@
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# Capsule Block Manifest — Auto-generated
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<!-- Generated by mkcapsule --manifest 2026-08-19T11:54:28Z -->
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<!-- Generated by mkcapsule --manifest 2026-08-20T14:53:07Z -->
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<!-- DO NOT EDIT — re-run mkcapsule --manifest to refresh. -->
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<!-- Hand-written justifications and immutability notes live -->
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<!-- in MANIFEST.md alongside this auto-generated index. -->
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@@ -12,7 +12,7 @@
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| `artemis:init.4th` | 4110, 4111, 4112, 4113, 4122, 4123, 4124, 4125, 4126, 4127, 4128, 4129, 4130, 4131, 4132, 4133, 4134, 4135, 4136, 4137, 4138, 4139, 4140, 4141, 4160, 4161, 4162, 4163, 4164, 4165, 4166, 4167, 4168, 4169, 4170, 4171, 4172, 4173, 4174, 4177, 4178, 4179, 4180, 4181, 4182, 4851, 4852 | `0x1859f0148048a2c1` |
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| `common:msg.4th` | 4055 | `0xa99c5bcd3877f80e` |
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| `doe-campaign.4th` | 4060, 4061, 4062, 4063, 4064, 4065 | `0x3d4549142d91ec20` |
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| `doe.4th` | 2100, 2101, 2102, 2103, 2104, 2105, 2106, 2107 | `0xb6ecf5374e8ee77c` |
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| `doe.4th` | 2100, 2101, 2102, 2103, 2104, 2105, 2106, 2107 | `0xf154616d248e861f` |
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| `fabric.4th` | 4900, 4901, 4902, 4903, 4904, 4905, 4906, 4907, 4908, 4909, 4910, 4911, 4912, 4913, 4914, 4915, 4916, 4917, 4918, 4919, 4920, 4921, 4922, 4923, 4924, 5000, 5001, 5002 | `0x9b1d061339cea98d` |
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| `font.4th` | 4925, 4926, 4927, 4928, 4929, 4930, 4931, 4932, 4933, 4934, 4935, 4936, 4937, 4938, 4939, 4940, 4941, 4942, 4943, 4944, 4945, 4946, 4947, 4948, 4949, 4950, 4951, 4952, 4953, 4954, 4955, 4956, 4957, 4958, 4959, 4960, 4961, 4962, 4963, 4964, 4965, 4966, 4967, 4968, 4969, 4970, 4971, 4972, 4973, 4974, 4975, 4976, 4977, 4978, 4979, 4980, 4981, 4982, 4983, 4984, 4985 | `0x720792b4fc758156` |
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| `hermes:init.4th` | 4100, 4101, 4102, 4103, 4104, 4105, 4106, 4107, 4108, 4109, 4114, 4115, 4116, 4117, 4118, 4119, 4120, 4121, 4142, 4143, 4144, 4145, 4146, 4147, 4148, 4149, 4150, 4151, 4152, 4153, 4154, 4155, 4156, 4157, 4158, 4159, 4175, 4176 | `0x85c7b311d1e5bf97` |
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@@ -79,14 +79,14 @@
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| 2093 | `init-6.4th` | `0x06fc0ce1e369ef5a` | ok |
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| 2094 | `init-6.4th` | `0x06fc0ce1e369ef5a` | ok |
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| 2095 | `init-6.4th` | `0x06fc0ce1e369ef5a` | ok |
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| 2100 | `doe.4th` | `0xb6ecf5374e8ee77c` | ok |
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| 2101 | `doe.4th` | `0xb6ecf5374e8ee77c` | ok |
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| 2102 | `doe.4th` | `0xb6ecf5374e8ee77c` | ok |
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| 2103 | `doe.4th` | `0xb6ecf5374e8ee77c` | ok |
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| 2104 | `doe.4th` | `0xb6ecf5374e8ee77c` | ok |
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| 2105 | `doe.4th` | `0xb6ecf5374e8ee77c` | ok |
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| 2106 | `doe.4th` | `0xb6ecf5374e8ee77c` | ok |
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| 2107 | `doe.4th` | `0xb6ecf5374e8ee77c` | ok |
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| 2100 | `doe.4th` | `0xf154616d248e861f` | ok |
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| 2101 | `doe.4th` | `0xf154616d248e861f` | ok |
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| 2102 | `doe.4th` | `0xf154616d248e861f` | ok |
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| 2103 | `doe.4th` | `0xf154616d248e861f` | ok |
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| 2104 | `doe.4th` | `0xf154616d248e861f` | ok |
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| 2105 | `doe.4th` | `0xf154616d248e861f` | ok |
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| 2106 | `doe.4th` | `0xf154616d248e861f` | ok |
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| 2107 | `doe.4th` | `0xf154616d248e861f` | ok |
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| 2130 | `init-4.4th` | `0x89e3ef1db5ac0627` | ok |
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| 2131 | `init-4.4th` | `0x89e3ef1db5ac0627` | ok |
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| 2132 | `init-4.4th` | `0x89e3ef1db5ac0627` | ok |
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+6
-3
@@ -66,10 +66,13 @@ Block 2104
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CREATE RUN-MATRIX N-RUNS 8 * ALLOT
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: MATRIX! ( val idx -- ) 8 * RUN-MATRIX + ! ;
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: MATRIX@ ( idx -- val ) 8 * RUN-MATRIX + @ ;
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VARIABLE SW-I VARIABLE SW-J VARIABLE SW-VI VARIABLE SW-VJ
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: SWAP-MTX ( i j -- )
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OVER MATRIX@ >R
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OVER MATRIX@ ROT MATRIX!
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R> SWAP MATRIX! ;
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SW-J ! SW-I !
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SW-I @ MATRIX@ SW-VI !
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SW-J @ MATRIX@ SW-VJ !
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SW-VJ @ SW-I @ MATRIX!
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SW-VI @ SW-J @ MATRIX! ;
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: INIT-MATRIX ( -- )
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N-RUNS 0 DO I I MATRIX! LOOP ;
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Binary file not shown.
@@ -0,0 +1,229 @@
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#!/usr/bin/env Rscript
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# analyse_stadium_relaunch.R
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# StarForth LithosAnanke — EXEC-DOE 3x3 Latin square campaign,
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# re-run on the post-item-4.6 Stadium substrate (2026-08-20).
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#
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# Generates figures + tables for stadium_relaunch_report.tex
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#
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# Data source: runs/acl-rwt-20260820/{arch}-seed{seed}.csv
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# 9 cells: {amd64,aarch64,riscv64} x {12345,67890,13579}
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# 480 rows/cell (16 L8 configs x 30 reps, Fisher-Yates shuffled)
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#
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# Scope note: this campaign validates that the EXEC-DOE mechanism runs
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# cleanly and completely on the Stadium substrate (item 5.1's own concern:
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# "a green POST suite is not evidence that determinism holds"). It is NOT
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# an ACL-RWT overhead measurement -- ACL.4th is not self-activated in this
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# repo's default init.4th, so these cells ran with ACL inactive.
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suppressPackageStartupMessages({
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library(ggplot2)
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library(svglite)
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library(dplyr)
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library(tidyr)
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library(scales)
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library(patchwork)
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})
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SCRIPT_DIR <- tryCatch(
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dirname(normalizePath(sys.frames()[[1]]$ofile)),
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error = function(e) getwd()
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)
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BASE_DIR <- normalizePath(file.path(SCRIPT_DIR, ".."))
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RUNS_DIR <- file.path(BASE_DIR, "runs", "acl-rwt-20260820")
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OUT_CHARTS <- file.path(SCRIPT_DIR, "charts")
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OUT_TABLES <- file.path(SCRIPT_DIR, "tables")
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dir.create(OUT_CHARTS, showWarnings = FALSE, recursive = TRUE)
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dir.create(OUT_TABLES, showWarnings = FALSE, recursive = TRUE)
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cat("══════════════════════════════════════════════════════════════════\n")
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cat(" StarForth LithosAnanke — Stadium-substrate EXEC-DOE relaunch\n")
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cat(" Item 5.1 / F.3 — campaign-mechanism validation, 2026-08-20\n")
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cat("══════════════════════════════════════════════════════════════════\n\n")
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# ── palette (matches analyse_acl_rwt.R) ───────────────────────────────────────
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arch_colours <- c(amd64 = "#E07B39",
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aarch64 = "#4A90D9",
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riscv64 = "#50C878")
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theme_light_sf <- function(base = 11) {
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theme_minimal(base_size = base) %+replace% theme(
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panel.grid.minor = element_blank(),
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panel.grid.major = element_line(colour = "grey90"),
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strip.text = element_text(face = "bold"),
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plot.title = element_text(face = "bold", size = base + 1),
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plot.subtitle = element_text(colour = "grey40", size = base - 2),
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legend.position = "bottom",
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legend.key.size = unit(0.5, "cm")
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)
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}
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theme_dark_sf <- function(base = 11) {
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theme_minimal(base_size = base) %+replace% theme(
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panel.background = element_rect(fill = "#0d0d0d", colour = NA),
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plot.background = element_rect(fill = "#0d0d0d", colour = NA),
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panel.grid.major = element_line(colour = "#1e1e1e"),
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panel.grid.minor = element_blank(),
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axis.text = element_text(colour = "#aaaaaa"),
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axis.title = element_text(colour = "#cccccc"),
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strip.text = element_text(colour = "white", face = "bold"),
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plot.title = element_text(colour = "white", face = "bold", size = base + 1),
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plot.subtitle = element_text(colour = "#666666", size = base - 2),
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legend.text = element_text(colour = "#aaaaaa"),
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legend.title = element_text(colour = "#cccccc"),
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legend.background = element_rect(fill = "#0d0d0d", colour = NA),
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legend.position = "bottom",
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legend.key.size = unit(0.5, "cm")
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)
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}
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save_svg <- function(plot, name, w = 12, h = 7) {
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path <- file.path(OUT_CHARTS, paste0(name, ".svg"))
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svglite(path, width = w, height = h)
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print(plot)
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dev.off()
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cat(sprintf(" Saved: %s.svg\n", name))
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invisible(path)
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}
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# ── load data ──────────────────────────────────────────────────────────────
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col_names <- c("run_id", "cfg", "rep", "ent_in", "cv_in", "tmp_in", "stb_in",
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"l8_mode", "win_div", "infer_win", "infer_dec_q", "infer_var_q",
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"early_exit", "bc_mean_q", "bb_mean_q", "fit_q")
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archs <- c("amd64", "aarch64", "riscv64")
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seeds <- c("12345", "67890", "13579")
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load_cell <- function(arch, seed) {
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f <- file.path(RUNS_DIR, sprintf("%s-seed%s.csv", arch, seed))
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raw <- readLines(f)
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data_lines <- raw[grepl("^[0-9]", raw)]
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df <- read.csv(text = paste(data_lines, collapse = "\n"),
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header = FALSE, col.names = col_names,
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strip.white = TRUE)
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df$arch <- arch
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df$seed <- seed
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df
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}
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cat("Loading 9 cells...\n")
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all_data <- bind_rows(lapply(archs, function(a) {
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bind_rows(lapply(seeds, function(s) load_cell(a, s)))
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}))
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cat(sprintf(" Total rows loaded: %d (expect 4320)\n", nrow(all_data)))
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# ── per-cell completeness table ───────────────────────────────────────────
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cell_summary <- all_data %>%
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group_by(arch, seed) %>%
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summarise(
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n_rows = n(),
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n_distinct_run_id = n_distinct(run_id),
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l8_modes = n_distinct(l8_mode),
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mean_win_div = mean(win_div),
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mean_fit_q = mean(fit_q),
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mean_bc_mean_q = mean(bc_mean_q),
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mean_bb_mean_q = mean(bb_mean_q),
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.groups = "drop"
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)
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cell_summary$arch <- factor(cell_summary$arch, levels = archs)
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write.csv(cell_summary, file.path(OUT_TABLES, "stadium_relaunch_cell_summary.csv"),
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row.names = FALSE)
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cat("\nCell summary:\n")
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print(as.data.frame(cell_summary))
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# ── cross-arch / cross-seed invariance tests (Kruskal-Wallis, matches the
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# original report's own non-parametric methodology for this kind of
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# campaign-level distributional comparison) ─────────────────────────────
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kw_arch_fit <- kruskal.test(fit_q ~ arch, data = all_data)
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kw_arch_win <- kruskal.test(win_div ~ arch, data = all_data)
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kw_seed_fit <- kruskal.test(fit_q ~ seed, data = all_data)
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kw_seed_win <- kruskal.test(win_div ~ seed, data = all_data)
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kw_results <- capture.output({
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cat("Kruskal-Wallis: fit_q ~ arch\n"); print(kw_arch_fit); cat("\n")
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cat("Kruskal-Wallis: win_div ~ arch\n"); print(kw_arch_win); cat("\n")
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cat("Kruskal-Wallis: fit_q ~ seed\n"); print(kw_seed_fit); cat("\n")
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cat("Kruskal-Wallis: win_div ~ seed\n"); print(kw_seed_win); cat("\n")
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})
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writeLines(kw_results, file.path(OUT_TABLES, "stadium_relaunch_kw_results.txt"))
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cat("\n")
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cat(paste(kw_results, collapse = "\n"))
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cat("\n\n")
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# ══════════════════════════════════════════════════════════════════════════
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# FIGURE 1: 3x3 Latin square completeness heatmap (rows captured per cell)
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# ══════════════════════════════════════════════════════════════════════════
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cat("[SR-1] Completeness heatmap (light + dark)...\n")
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df_heat <- cell_summary %>% mutate(seed = factor(seed, levels = seeds))
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|
||||
make_heatmap <- function(dark = FALSE) {
|
||||
thm <- if (dark) theme_dark_sf() else theme_light_sf()
|
||||
txt <- if (dark) "white" else "grey10"
|
||||
ggplot(df_heat, aes(x = seed, y = arch, fill = n_rows)) +
|
||||
geom_tile(colour = if (dark) "#0d0d0d" else "white", linewidth = 1.5) +
|
||||
geom_text(aes(label = sprintf("%d/480", n_rows)), colour = txt,
|
||||
fontface = "bold", size = 4.2) +
|
||||
scale_fill_gradient(low = "#c0392b", high = "#2CA02C", limits = c(0, 480),
|
||||
name = "Rows captured") +
|
||||
labs(
|
||||
title = "EXEC-DOE Campaign Completeness — Stadium Substrate",
|
||||
subtitle = "3x3 Latin square: 3 seeds x 3 ISAs, 30 reps x 16 L8 configs per cell (480 rows/cell)",
|
||||
x = "Seed", y = "Architecture"
|
||||
) +
|
||||
thm
|
||||
}
|
||||
save_svg(make_heatmap(FALSE), "stadium_relaunch_completeness_light", w = 9, h = 6)
|
||||
save_svg(make_heatmap(TRUE), "stadium_relaunch_completeness_dark", w = 9, h = 6)
|
||||
|
||||
# ══════════════════════════════════════════════════════════════════════════
|
||||
# FIGURE 2: fit_q distribution by architecture (all seeds pooled)
|
||||
# ══════════════════════════════════════════════════════════════════════════
|
||||
cat("[SR-2] fit_q distribution by architecture (light + dark)...\n")
|
||||
|
||||
all_data$arch <- factor(all_data$arch, levels = archs)
|
||||
|
||||
make_fit_box <- function(dark = FALSE) {
|
||||
thm <- if (dark) theme_dark_sf() else theme_light_sf()
|
||||
ggplot(all_data, aes(x = arch, y = fit_q, fill = arch)) +
|
||||
geom_boxplot(alpha = 0.85, outlier.size = 0.6, outlier.alpha = 0.4) +
|
||||
scale_fill_manual(values = arch_colours, guide = "none") +
|
||||
scale_x_discrete(labels = c(amd64 = "amd64\n(x86-64)",
|
||||
aarch64 = "aarch64\n(ARMv8-A)",
|
||||
riscv64 = "riscv64\n(RV64GC)")) +
|
||||
labs(
|
||||
title = "Inference-Fit Distribution Across ISAs",
|
||||
subtitle = sprintf(
|
||||
"Kruskal-Wallis fit_q ~ arch: H=%.3f, p=%.4f (all 4,320 rows, 3 seeds pooled per ISA)",
|
||||
kw_arch_fit$statistic, kw_arch_fit$p.value
|
||||
),
|
||||
x = "Instruction-Set Architecture", y = "fit_q (Q16 fixed-point)"
|
||||
) +
|
||||
thm
|
||||
}
|
||||
save_svg(make_fit_box(FALSE), "stadium_relaunch_fitq_box_light", w = 9, h = 6)
|
||||
save_svg(make_fit_box(TRUE), "stadium_relaunch_fitq_box_dark", w = 9, h = 6)
|
||||
|
||||
# ══════════════════════════════════════════════════════════════════════════
|
||||
# FIGURE 3: mean win_div per (arch, seed) cell — grouped bar
|
||||
# ══════════════════════════════════════════════════════════════════════════
|
||||
cat("[SR-3] Mean window-diversity per cell (light + dark)...\n")
|
||||
|
||||
df_bar <- cell_summary %>% mutate(seed = factor(seed, levels = seeds))
|
||||
|
||||
make_windiv_bar <- function(dark = FALSE) {
|
||||
thm <- if (dark) theme_dark_sf() else theme_light_sf()
|
||||
ggplot(df_bar, aes(x = seed, y = mean_win_div, fill = arch)) +
|
||||
geom_col(position = position_dodge(width = 0.75), width = 0.65,
|
||||
colour = NA, alpha = 0.92) +
|
||||
scale_fill_manual(values = arch_colours, name = "ISA") +
|
||||
labs(
|
||||
title = "Mean Window-Diversity per Campaign Cell",
|
||||
subtitle = "9 cells, 480 runs each, Stadium substrate (post item-4.6 quota-grant fix)",
|
||||
x = "Seed", y = "Mean win_div"
|
||||
) +
|
||||
thm
|
||||
}
|
||||
save_svg(make_windiv_bar(FALSE), "stadium_relaunch_windiv_bar_light", w = 9, h = 6)
|
||||
save_svg(make_windiv_bar(TRUE), "stadium_relaunch_windiv_bar_dark", w = 9, h = 6)
|
||||
|
||||
cat("\nDone. Tables in analysis/tables/, charts in analysis/charts/.\n")
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<text x='340.10' y='388.15' text-anchor='middle' style='font-size: 11.00px; font-family: "Liberation Sans";' textLength='25.72px' lengthAdjust='spacingAndGlyphs'>Seed</text>
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<text transform='translate(13.05,194.66) rotate(-90)' text-anchor='middle' style='font-size: 11.00px; font-family: "Liberation Sans";' textLength='67.28px' lengthAdjust='spacingAndGlyphs'>Mean win_div</text>
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<text x='340.10' y='14.98' text-anchor='middle' style='font-size: 12.00px; font-weight: bold; font-family: "Liberation Sans";' textLength='243.20px' lengthAdjust='spacingAndGlyphs'>Mean Window-Diversity per Campaign Cell</text>
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"arch","seed","n_rows","n_distinct_run_id","l8_modes","mean_win_div","mean_fit_q","mean_bc_mean_q","mean_bb_mean_q"
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"aarch64","12345",480,480,1,246,52429,0,0
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"aarch64","13579",480,480,1,246,52429,0,0
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"aarch64","67890",480,480,1,246,52429,0,0
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"amd64","12345",480,480,1,246,52429,0,0
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"amd64","13579",480,480,1,246,52429,0,0
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"amd64","67890",480,480,1,246,52429,0,0
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"riscv64","12345",480,480,1,246,52429,0,0
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"riscv64","13579",480,480,1,246,52429,0,0
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"riscv64","67890",480,480,1,246,52429,0,0
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|
@@ -0,0 +1,32 @@
|
||||
Kruskal-Wallis: fit_q ~ arch
|
||||
|
||||
Kruskal-Wallis rank sum test
|
||||
|
||||
data: fit_q by arch
|
||||
Kruskal-Wallis chi-squared = NaN, df = 2, p-value = NA
|
||||
|
||||
|
||||
Kruskal-Wallis: win_div ~ arch
|
||||
|
||||
Kruskal-Wallis rank sum test
|
||||
|
||||
data: win_div by arch
|
||||
Kruskal-Wallis chi-squared = NaN, df = 2, p-value = NA
|
||||
|
||||
|
||||
Kruskal-Wallis: fit_q ~ seed
|
||||
|
||||
Kruskal-Wallis rank sum test
|
||||
|
||||
data: fit_q by seed
|
||||
Kruskal-Wallis chi-squared = NaN, df = 2, p-value = NA
|
||||
|
||||
|
||||
Kruskal-Wallis: win_div ~ seed
|
||||
|
||||
Kruskal-Wallis rank sum test
|
||||
|
||||
data: win_div by seed
|
||||
Kruskal-Wallis chi-squared = NaN, df = 2, p-value = NA
|
||||
|
||||
|
||||
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Reference in New Issue
Block a user