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docs(benches): 🏗️ benchmarking ladder for sensitive PRs
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docs(benches): 🏗️ benchmarking ladder for sensitive PRs
#317
diagonal-hamiltonian
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docs(benches): 📝 the benchmarking ladder for sensitive PRs
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Revise LADDER.md for improved benchmarking clarity
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Revise benchmarks documentation and add ladder section
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docs(benches): 📝 general shapes, gradient rows, inputtable model sizes
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Revise LADDER.md for better benchmarking summary
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perf(benches): ⚡ build the random graph once for build_graph, energy and gradient
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fix(bench-tools): 🐛 reject a --gen-length whose monomials are not Hermitian
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docs(benches): 📝 size the Schrödinger rows to ~100M terms and split energy from gradient
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docs(benches): 📝 size the Schrödinger rows against gradient, not build_graph
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docs(benches): 📝 split L2 into one rank and one node of ranks
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Potential fix for pull request finding
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style(bench-tools): 🎨 bring the observable-site comment under the line limit
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less wordy
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style(benches): 🎨 fix trailing whitespace and missing final newline
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