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f979705293849de48e4b40aa8988c046fa5871da
8fdc369223509baee3422914efb3053adbd27b6391073644599a3a9ca1519cb3 experiments/LDE2G_PREREG.md
b02983dbd22674c5b234aaada26e5003133f6a70464859e831267089c24d0137 experiments/lde2g_generator.py
496e31ab7740c1f6264b94811f2d49b3a1f359a22be7df4ada78507620518638 experiments/lde2g_information_priority_confirmatory.py
0d37b5c676c7fa1f6248db6fc62b82bf64a98d60c7e0025bd387a0f63c834367 lde/swarm/protocol.py
d1e3c827a1811094ba93cf03ca9d26a1155a7f7f9883cf33608fe88062f43c2a lde/swarm/priority.py
5f2ba5f1c60718dce95bdefc86b3e77a1799934843f535388a89b58321f3524f lde/swarm/selection.py
cb004d9136656f1843dcf22b9b9a4fc5bd612962de04160781ad9c4c1e3d12f8 lde/swarm/discrimination.py
fa72322e0152f269abc67929ee17abe713206ebc0bfd07588d9d5912f32c2c38 tests/test_lde2g_confirmatory.py
=== LDE-2G S25 PRE-EXPERIMENT ENVIRONMENT ===
Captured UTC:
2026-10-07T16:05:38Z
=== REPOSITORY ===
commit: f979705293849de48e4b40aa8988c046fa5871da
working_tree_status:
=== PYTHON ===
Python 3.14.6
machine: aarch64
platform: Android-16-aarch64-64bit-ELF
implementation: CPython
python: 3.14.6 (main, Jul 5 2026, 10:35:55) [Clang 21.0.0 (https://android.googlesource.com/toolchain/llvm-project 5e96669f0
=== BUILD ===
compiler: aarch64-linux-android-clang
SOABI: cpython-314-aarch64-linux-android
=== HOST ===
Linux localhost 6.6.98-android15-8-pd6ff1cd-abogkiS938USQSCCZF9-4k #1 SMP PREEMPT Tue Aug 11 06:32:03 UTC 2026 aarch64 Android
arch: aarch64
=== ANDROID ===
model: SM-S938U
abi: arm64-v8a
android: 16
build: S938USQSCCZF9
=== STORAGE ===
Filesystem Size Used Avail Use% Mounted on
/dev/block/dm-72 459G 197G 261G 44% /data/user/0
=== LDE-2G SOURCE HASHES ===
8fdc369223509baee3422914efb3053adbd27b6391073644599a3a9ca1519cb3 experiments/LDE2G_PREREG.md
b02983dbd22674c5b234aaada26e5003133f6a70464859e831267089c24d0137 experiments/lde2g_generator.py
496e31ab7740c1f6264b94811f2d49b3a1f359a22be7df4ada78507620518638 experiments/lde2g_information_priority_confirmatory.py
0d37b5c676c7fa1f6248db6fc62b82bf64a98d60c7e0025bd387a0f63c834367 lde/swarm/protocol.py
d1e3c827a1811094ba93cf03ca9d26a1155a7f7f9883cf33608fe88062f43c2a lde/swarm/priority.py
5f2ba5f1c60718dce95bdefc86b3e77a1799934843f535388a89b58321f3524f lde/swarm/selection.py
cb004d9136656f1843dcf22b9b9a4fc5bd612962de04160781ad9c4c1e3d12f8 lde/swarm/discrimination.py
fa72322e0152f269abc67929ee17abe713206ebc0bfd07588d9d5912f32c2c38 tests/test_lde2g_confirmatory.py
e5a9d5e372e69061e2db8d9a820121637a67d61fd800bc5f8403586cab983c39 evidence/05_exploratory/generator_independence/azure/README.md
0569445b9d77d7cc21cb9d4d67499f0d5782382f2cf8a1d6b0294c54fbf03989 evidence/05_exploratory/generator_independence/azure/command.txt
95374d9ce31783a1756f5e196fe9fe90745627bba4725aeb157dbf6a0fb793a3 evidence/05_exploratory/generator_independence/azure/environment.txt
4a8ba5ad855c89dcd2746eb2e4e4cd2ce243fb2e88fcc85dedb4cec2dd4bb33f evidence/05_exploratory/generator_independence/azure/summary.json
e42987d1cf52ac827ef5039c902fb9f87a2e51371c09c2de5bbcd6b019f338d9 evidence/05_exploratory/generator_independence/azure/stdout.txt
e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855 evidence/05_exploratory/generator_independence/azure/stderr.txt
9a271f2a916b0b6ee6cecb2426f0b3206ef074578be55d9bc94f6f3fe3ab86aa evidence/05_exploratory/generator_independence/azure/exit_code.txt
PYTHONPATH="$PWD" python3 - <<'PY'
from experiments.lde2g_generator import generate_case
from experiments.exploratory.lde2g_generator_independence import generate_case_independent
from lde.swarm.blackboard import ResearchBlackboard
from lde.swarm.discrimination import candidate_discrimination
from lde.swarm.priority import priority_score
from lde.swarm.selection import select_next_experiment
def evaluate(case):
board = ResearchBlackboard()
for hypothesis in case.hypotheses:
board.add_hypothesis(hypothesis)
for request in case.requests:
board.add_experiment_request(request)
selected = select_next_experiment(board)
if selected is None:
raise AssertionError("case produced no selectable request")
hypothesis_records = tuple(
{
"hypothesis_id": h.hypothesis_id,
"author": h.author,
"statement": h.statement,
"predictions": h.predictions,
}
for h in case.hypotheses
)
scores = {
request.request_id: candidate_discrimination(
hypothesis_records,
request.input_value,
)
for request in case.requests
}
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