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fix(twin-parity,#8057,#12778): rebaseline 3 paires DRIFT Probas-2/3/4 #12975

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Merged
myia-ai-01 merged 6 commits into from
Aug 26, 2026
Merged

fix(twin-parity,#8057,#12778): rebaseline 3 paires DRIFT Probas-2/3/4 #12975

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8ede8f0
Merge branch 'main' into feature/c536-pymc-tranche1
jsboige Aug 24, 2026
cee4ce8
Merge branch 'main' into feature/c536-pymc-tranche1
jsboige Aug 24, 2026
83d5ef4
Merge branch 'main' into feature/c536-pymc-tranche1
jsboige Aug 25, 2026
9925b6b
Merge branch 'main' into feature/c536-pymc-tranche1
jsboige Aug 25, 2026
d41b56e
fix(twin-parity,#8057,#12778): rebaseline 3 paires DRIFT Probas-2/3/4
jsboige Aug 25, 2026
5a9f686
Merge branch 'feature/c536-pymc-tranche1' into fix/12778-twin-parity-…
jsboige Aug 25, 2026
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6 changes: 6 additions & 0 deletions scripts/notebook_tools/twin_pairs.d/probas-2-gaussian-mixtures.yaml
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Expand Up @@ -51,6 +51,12 @@
content_python_sha: 916fbbb8450f5f2df1da842265489f54672036cd3f0b454bc90c63a36e516f91
content_csharp_sha: 193d1a1aa8d5a5fe5da8159efcba581bcbc402afb68247a3c3e14d78f380a76a
reason: "PR #12592 (#12578) : lecture az.summary apres chaque pm.sample + diagnostic honnete du label switching, cote Python (PyMC-2), re-exec 11/11 0 erreur. Mouvement unilateral legitime (parity_level native-both, moteurs distincts PyMC vs Infer.NET) ; jumeau C# (Infer-2) inchange et toujours au SHA atteste. Aucun strip outille en attente (probe banner 0, machine path 0, papermill deja en basename)."
- date: "2026-08-25"
by: myia-po-2026:CoursIA-2
python_sha: f6a9fc76030641009abda7b94a2fb169b682ae90
csharp_sha: f7d507ae2ac763906e13d6ba61240219f5193ab4
content_python_sha: d097e445246d572e6a5e758b31e5c98587b7d29174d6c55596e949e4874da28b
content_csharp_sha: 193d1a1aa8d5a5fe5da8159efcba581bcbc402afb68247a3c3e14d78f380a76a
known_differences:
- '2026-08-21 (rebaseline asymetrique myia-po-2024:CoursIA-2) : PR #12065 corrige heading_in_list cote C# (Infer-2-Gaussian-Mixtures.ipynb, 1 finding) tandis que le jumeau Python (PyMC-2-Gaussian-Mixtures.ipynb) etait deja a 0 finding. La convergence unilaterale est legitime (cf ai-01 arbitrage 2026-08-21 15:00Z, DM msg-20260821T130006-lc9u2c) : la parite reelle s''ameliore, elle n''est pas enshrinee. Aucun strip outille en attente (probe banner 0, papermill 0, machine paths 0).'
- 'Socle pedagogique commun : melanges de distributions gaussiennes (GMM) modelise dans les deux stacks.'
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6 changes: 6 additions & 0 deletions scripts/notebook_tools/twin_pairs.d/probas-3-factor-graphs.yaml
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Expand Up @@ -33,6 +33,12 @@
csharp_sha: a04788dfccb1330a63c264e4c18726943f4a03aa
content_python_sha: 2e3a92140ef42a21c65bcf464d784e37b9e2856902c779b303310de7c682b0dc
content_csharp_sha: 4516c2c0a108f167aea626ccb6ce18b2a32c4ff8f2b92383fb6b8ab2c516a426
- date: "2026-08-25"
by: myia-po-2026:CoursIA-2
python_sha: 7a7c6b93e60fadaee124a52c1b288723522bd9c6
csharp_sha: a04788dfccb1330a63c264e4c18726943f4a03aa
content_python_sha: 9f4909cdefb53a713ddaf508d83c3216955d802bbb46be4f4b4830b3e8d54789
content_csharp_sha: 4516c2c0a108f167aea626ccb6ce18b2a32c4ff8f2b92383fb6b8ab2c516a426
known_differences:
- '2026-08-19 (myia-ai-01) #11685 : REBASELINE cote C# apres reparation. Le merge 9881553 (#11622) avait re-execute Infer-3 sur une machine sans Graphviz -- le helper .NET imprime l''echec au lieu de lever, donc 6 bannieres "Problem with converting DOT to SVG" + chemins machine se sont retrouves dans les sorties, et l''audit precedent a enregistre un csharp_sha (bb769dc0f648) qui n''a JAMAIS ete le blob du fichier (test_twin_registry_integrity rouge sur main depuis ce merge). Repare par re-execution reelle avec dot sur le PATH (Graphviz 14.1.3 present sur ai-01, seulement absent du PATH) puis strip_probe_banner.py, --update en DERNIER (#8957). Volume de rendu verifie contre la base de fusion : blocs SVG 13356 -> 13362 et 28948 -> 28954 B, svg 2 -> 2 -- aucun livrable rendu perdu. content_python_sha inchange : le jumeau Python n''est pas touche.'
- 'Socle pedagogique commun : graphes de facteurs et variables aleatoires modelise dans les deux stacks.'
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6 changes: 6 additions & 0 deletions scripts/notebook_tools/twin_pairs.d/probas-4-bayesian-networks.yaml
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Expand Up @@ -26,6 +26,12 @@
csharp_sha: 9935364fad5fda48d306b739658ed36e63b1dddc
content_python_sha: 11ce4b52e436e3137f0bfc9994cb9672d9444bbf8cc1eaf7165f2e25d24b643a
content_csharp_sha: 95d237b72c8448add06ccfcbb5d1c55e1e668b41d2faa472e0f5bd0b28ada7d6
- date: "2026-08-25"
by: myia-po-2026:CoursIA-2
python_sha: 823bf025661bbf8df4cf8d1e2e885d27fdcd5bd7
csharp_sha: 9935364fad5fda48d306b739658ed36e63b1dddc
content_python_sha: 6e70eb5e2d96db206e403bf11656cf1f66074d3c3d533565afad6eddd4e66a35
content_csharp_sha: 95d237b72c8448add06ccfcbb5d1c55e1e668b41d2faa472e0f5bd0b28ada7d6
known_differences:
- 'Socle pedagogique commun : reseaux bayesiens (DAG de dependances conditionnelles) modelise dans les deux stacks.'
- 'Moteurs d''inference distincts : C# Infer.NET = inference deterministe approchee (Expectation Propagation / Variational
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