ClaudeandClaude Opus 5.5
02bde0f751
Test-only opt-in. New shear_twin.py: same two L0->L1 boxes as shear_nested, no L2; leaves [7936,33792], hops [2048,4096], work 154664960. Four fresh cases U128/U256/constant R128 d2/projected R128 d2; physics is the unchanged depth-2/2N shear_wave.assess. run_case: --diagnostic twin_shear_n128 with shear_twin.py+shear_nested.py pins, no snapshot. assess_shear_wave: nested contract made preset-generic (PRESETS) with nested behaviour unchanged. Labels: twin vs nested = effect of adding this nested refinement (not abstract depth). shear_wave.py, shear_nested.py and oracle.py byte-identical. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
37 lines
1.4 KiB
Python
37 lines
1.4 KiB
Python
"""Depth-2 twin of the nested shear preset (opt-in twin_shear_n128).
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Same two L0->L1 boxes as shear_nested, no L2. Four fresh cases: U128, U256
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(finest control = 2N), constant R128 depth 2, projected R128 depth 2; same
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wave, phase, Re100/U=0.03, initialization, times, eps(root N), limits, floors.
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Twin vs nested measures the effect of adding this nested L2 refinement.
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Removing L2 also changes the finest spacing and refined volume, so the
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contrast does not isolate abstract depth. Physics is the unchanged depth-2,
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2N-control shear_wave.assess; shear_nested.py stays byte-identical.
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"""
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import numpy as np
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import shear_nested as nested
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ROOT_N = nested.ROOT_N
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DEPTH = 2
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FINEST_FACTOR = 2
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REFINEMENTS = [nested.REFINEMENTS[0]] # L0 -> L1 only, root coordinates
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CASES = ((100, ROOT_N, 1, "constant"), (100, FINEST_FACTOR * ROOT_N, 1, "constant"),
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(100, ROOT_N, DEPTH, "constant"), (100, ROOT_N, DEPTH, "projected_linear"))
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ROOT_STEPS = 16 * ROOT_N
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LEAVES = [7936, 33792]
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HOPS = [ROOT_STEPS * 2**level for level in range(DEPTH)] # [2048, 4096]
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WORK = sum(c * h for c, h in zip(LEAVES, HOPS)) # 154664960 per refined case
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NU = nested.NU[:DEPTH]
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TAU = nested.TAU[:DEPTH]
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def leaf_masks():
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"""Independent numpy leaf masks (root complement, full L1 boxes)."""
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child = np.zeros((ROOT_N, ROOT_N), bool)
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for x0, y0, x1, y1 in REFINEMENTS[0]:
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child[y0:y1, x0:x1] = True
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return [~child, np.kron(child, np.ones((2, 2), bool))]
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