Revision step 2 into the paper: section 9.1 (Tables 9b, 9c) as PREREG_controls prescribes. The analogy detector beats Lagouanelle-with-memory, Chandrupatla's band and no detector on corpus 4 (3656 vs 4488, 6236, 6165); with the multiplicity given, the classical transformation is 2.4-6.8x cheaper on every multiple or fractional root - stated as the price of estimating the order, in the abstract, 8.3, 8.6, the conclusion and as the first future-work question. verify_controls(): 26 checks. Server: verify 526 OK / 0 BAD, regression x2 1232 passed, PDF 30 pages, 0 errors, 0 undefined, 0 overfull.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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#!/bin/bash
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# Revision step 2 close-out: verifier, .tex/PDF build, regression x2 - detached, with markers.
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export OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1
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export PYTHONPATH="$HOME/simbracket_build/site:."
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cd "$HOME/sim-numerics" || exit 1
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~/torchenv/bin/python -u verify_article.py > ~/verify_uniform.log 2>&1
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echo "verify OK $(grep -c '^ OK' ~/verify_uniform.log) BAD $(grep -c '^ BAD' ~/verify_uniform.log)"
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grep '^ BAD' ~/verify_uniform.log
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grep -A8 '^Traceback' ~/verify_uniform.log
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~/torchenv/bin/python -u build_tex.py 2>&1 | tail -3
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for pass in 1 2; do
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echo "=== PASS $pass ==="
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~/torchenv/bin/python -m pytest tests -q -p no:cacheprovider -n 6 2>&1 | tail -1
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done
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echo "=== STEP2 DONE ==="
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