ClaudeandClaude Opus 5.5
48ee0982c9
Tests load research drivers via importlib under unique module names instead of a bare 'import run' (shared-process collision between the Dütsch and VIV drivers). lifecycle.md qualifies immutable geometry and the host-only get_flags for translating circles; supported_settings.md points to the dense-only moving-circle feature; leontini_viv_predeclare.md is renamed viv_re150_predeclare.md (Re 150 Kolahdouz/Qin case) with references updated. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
195 lines
8.9 KiB
Python
195 lines
8.9 KiB
Python
"""CPU tests of the Dütsch protocol arithmetic (docs/validation/duetsch_re100_kc5_protocol.md §6a)."""
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import importlib.util
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import math
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from pathlib import Path
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import numpy as np
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import pytest
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_spec = importlib.util.spec_from_file_location(
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"duetsch_protocol", Path(__file__).resolve().parents[2] / "research/duetsch_re100_kc5/protocol.py")
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p = importlib.util.module_from_spec(_spec)
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_spec.loader.exec_module(p)
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def _load(rel, name):
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"""Load a research driver module under a unique name (no bare ``import run``)."""
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import sys
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path = Path(__file__).resolve().parents[2] / rel
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sys.path.insert(0, str(path.parent)) # for the driver's own sibling imports
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try:
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spec = importlib.util.spec_from_file_location(name, path)
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mod = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(mod)
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finally:
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sys.path.remove(str(path.parent))
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return mod
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T = 2520
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def test_phase_and_cycle_bookkeeping():
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assert p.phase(0, T) == 270.0 and p.cycle(0, T) == 0 # +A, at rest, phi = -90
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assert p.phase(T // 4, T) == 0.0 and p.cycle(T // 4, T) == 1 # mean position, u = -U_max
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assert p.position(0, T, 1.0) == 1.0
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assert p.cycle(T // 4 - 1, T) == 0 and p.cycle(T // 4 + T - 1, T) == 1
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assert p.cycle(T // 4 + T, T) == 2
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assert p.phase(T // 6, T) == pytest.approx(330.0) and p.cycle(T // 6, T) == 0 # startup quarter
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assert p.phase(7 * T // 6, T) == pytest.approx(330.0) and p.cycle(7 * T // 6, T) == 1
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for ph, frac in ((180.0, .75), (210.0, 5 / 6)):
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s = round(frac * T) + T
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assert p.phase(s, T) == pytest.approx(ph) and p.bin_phase(s, T) == ph
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assert p.bin_phase(round(.75 * T) + T - 1, T) is None
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assert sum(p.bin_phase(s, T) == 180.0 for s in range(T, 2 * T)) == T // 360
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def test_settling_and_common_window():
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passes = {k: True for k in range(3, 12)}
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assert p.settled_start(passes) == 7 # pairs 3->4, 4->5, 5->6
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late = {**passes, 5: False}
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assert p.settled_start(late) == 9 # pairs 6->7, 7->8, 8->9
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assert p.common_window([7, 9], [passes, passes]) == (9, 10, 11)
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assert p.common_window([7, 10], [passes, passes]) is None # K + 2 = 12 beyond the cap
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assert p.common_window([7, None], [passes, passes]) is None
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assert p.common_window([7, 7], [passes, {**passes, 8: False}]) is None # must stay settled
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# a case settled early must keep passing while waiting for the common K
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assert p.common_window([7, 9], [{**passes, 8: False}, passes]) is None
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long = {k: True for k in range(3, 32)}
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assert p.common_window([10], [long]) is None # default cap 11
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assert p.common_window([29], [long], last_scored=31) == (29, 30, 31)
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assert p.common_window([30], [long], last_scored=31) is None
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def test_solid_aware_bilinear():
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field = np.arange(16.0).reshape(4, 4)
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fluid = np.ones((4, 4), bool)
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value, used, total = p.bilinear_fluid(field, fluid, 1.25, 1.5)
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assert total == pytest.approx(1.0) and value == pytest.approx(0.75 * 0.5 * (5 + 9) + 0.25 * 0.5 * (6 + 10))
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fluid[1, 1] = False # one solid corner
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value, used, total = p.bilinear_fluid(field, fluid, 1.25, 1.5)
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assert total == pytest.approx(1.0 - 0.75 * 0.5)
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assert all(not (i == 1 and j == 1) for i, j, _ in used)
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assert sum(w for *_, w in used) == pytest.approx(1.0)
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fluid[:] = False
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assert p.bilinear_fluid(field, fluid, 1.25, 1.5) == (None, (), 0.0)
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def test_interval_bases_and_morison_fit_recover_known_coefficients():
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b = np.array([p.interval_bases(n, T) for n in range(T // 4, T // 4 + 3 * T)])
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phi = 2 * np.pi * (np.arange(T // 4, T // 4 + 3 * T) + .5) / T - np.pi / 2
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assert np.allclose(b[:, 1], np.sin(phi), atol=1e-5) # midpoint ~ interval mean
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f = 2.09 * b[:, 0] - (math.pi ** 2 * 1.45 / p.KC) * b[:, 1]
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assert p.morison_fit(f, b[:, 0], b[:, 1]) == pytest.approx((2.09, 1.45), abs=1e-9)
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def test_geometry_repeats_exactly_across_cycles():
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A = p.amplitude(20)
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for m in (0, 1, T // 4, T // 2 - 1, 7 * T // 12):
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for c in (1, 5, 11):
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assert p.position(m + c * T, T, A) == p.position(m, T, A)
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assert p.phase(m + c * T, T) == p.phase(m, T)
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v0 = p.position(m + 1, T, A) - p.position(m, T, A)
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assert p.position(m + 1 + c * T, T, A) - p.position(m + c * T, T, A) == v0
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assert p.cycle(T // 4 + 5 * T, T) == 6 # unwrapped index stays separate
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assert p.interval_bases(123 + 7 * T, T) == p.interval_bases(123, T)
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def test_exact_point_inside_body_is_missing_even_with_fluid_corners():
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field = np.zeros((6, 6))
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fluid = np.ones((6, 6), bool)
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fluid[3, 3] = False # only one corner solid
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centre, radius = (3.0, 3.0), 0.3
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value, used, total = p.sample(field, fluid, 3.2, 3.1, centre, radius) # inside the circle
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assert value is None and used == () and total == 0.0
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value, used, total = p.sample(field, fluid, 3.35, 3.0, centre, radius) # just outside
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assert value is not None and total > 0.0
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def test_generated_config_passes_the_real_loader(tmp_path):
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import json
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run = _load("research/duetsch_re100_kc5/run.py", "duetsch_run")
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from CelerisLab.config import load_lbm_config
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cfg_dict, u_max, n = run.config(20, 10.0, 2520)
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path = tmp_path / "config_lbm.json"
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path.write_text(json.dumps(cfg_dict))
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cfg = load_lbm_config(str(path))
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assert (cfg.nx, cfg.ny) == (n, n) == (200, 200)
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assert cfg.collision == "MRT" and cfg.streaming == "double_buffer" and not cfg.ddf_shifting
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assert cfg.velocity == 0.0 and cfg.viscosity == pytest.approx(u_max * 20 / 100)
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assert cfg.y_wall_bc == "bounce_back"
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def _analyze():
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return _load("research/duetsch_re100_kc5/analyze.py", "duetsch_analyze")
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def test_hf_energy_is_parseval_weighted():
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a = _analyze()
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n = 360
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t = np.arange(n)
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x = 1.0 + np.cos(2 * np.pi * 5 * t / n) + 2.0 * np.cos(2 * np.pi * 30 * t / n) + 0.5 * np.cos(np.pi * t)
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e = a.one_sided_energy(np.fft.rfft(x), n) / n
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assert e.sum() == pytest.approx(np.sum(x ** 2)) # Parseval
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expected = (2.0 ** 2 / 2 + 0.5 ** 2) / np.mean(x ** 2) # bins >= 21 (30 and Nyquist)
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assert e[21:].sum() / e.sum() == pytest.approx(expected)
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def test_horizon_excludes_future_coverage_and_events(monkeypatch):
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a = _analyze()
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T, horizon = 360, 4
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steps = round((0.25 + 6) * T) # cycles 1..6 recorded
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diag = np.zeros((steps, 15))
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diag[round((0.25 + horizon) * T):, 13] = 1.0 # synthetic future no_donor
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rows = [(s, p.cycle(s, T), 180.0, 0.0, 0.0, 0.1, 0.0, 1.0) for s in range(steps)
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if p.bin_phase(s, T) is not None and p.cycle(s, T) > p.DISCARD]
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case = dict(path="c", D=20, T=T, box=10, n=200, u_max=.04, nu=.008, tau=.524, A=1.0,
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steps=steps, cycles=6, F_ref=1.0, force=np.zeros((steps, 2)), diag=diag,
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samples=np.asarray(rows, float))
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monkeypatch.setattr(a, "load", lambda path: case)
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out = []
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monkeypatch.setattr("builtins.print", lambda text: out.append(text))
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a.main(["c", "--horizon", str(horizon)])
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import json
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entry = json.loads(out[0])["cases"][0]
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assert sorted(int(k) for k in entry["coverage"]) == [3, 4] # nothing from cycles 5, 6
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assert entry["no_donor"] == 0.0
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def _capture():
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spec = importlib.util.spec_from_file_location(
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"duetsch_capture", Path(__file__).resolve().parents[2] / "research/duetsch_re100_kc5/capture.py")
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mod = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(mod)
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return mod
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def test_capture_crop_downsample_and_trends():
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c = _capture()
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n, D = 2400, 40
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xm = ym = 0.5 * (n - 1)
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A, R = p.amplitude(D), 20.0
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box = c.crop_box(xm, ym, D, n, (xm - A - R, xm + A + R, ym - R, ym + R))
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assert box == (880, 1520, 960, 1440) and box[1] - box[0] + 1 == 641 and box[3] - box[2] + 1 == 481
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with pytest.raises(ValueError):
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c.crop_box(xm, ym, D, 600, (0, 1, 0, 1)) # leaves the domain
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with pytest.raises(ValueError):
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c.crop_box(xm, ym, D, n, (xm - 9 * D, xm, ym, ym)) # clips the swept body
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field = np.arange(64.0).reshape(8, 8)
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fluid = np.ones((8, 8), bool)
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fluid[:4, :4] = False
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down = c.downsample(field, fluid, 4)
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assert np.isnan(down[0, 0]) and down[1, 1] == field[4:, 4:].mean()
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rho = np.ones((n, n)); rho[:, 1:81] = 1.01
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row = c.trend_row(10, 3, 180.0, rho, np.zeros((n, n)), np.zeros((n, n)),
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np.ones((n, n), bool), D, n, box)
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assert row[7] == pytest.approx(1.01) and row[9] == pytest.approx(1.0)
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def test_dump_steps_are_the_first_step_of_each_bin():
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T = 5040
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for k in (11, 21, 30, 31):
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starts = [s for s in range(T // 4 + (k - 1) * T, T // 4 + k * T)
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if p.bin_phase(s, T) is not None and p.phase(s, T) == p.bin_phase(s, T)]
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assert len(starts) == 3 and all(p.cycle(s, T) == k for s in starts)
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