| """Compare published peak responses without downloading the 1.12 GiB fields. |
| |
| pip install numpy matplotlib huggingface_hub |
| python compare_excitations.py |
| python compare_excitations.py --index index.jsonl --configuration 119 |
| SPDX-License-Identifier: Apache-2.0 |
| Data: HaomingLuo/AgentFEM-Structural-Dynamics-Virtual-Sensing, CC BY 4.0. |
| """ |
| import argparse |
| import json |
| from pathlib import Path |
|
|
| import matplotlib |
| matplotlib.use("Agg") |
| import matplotlib.pyplot as plt |
| import numpy as np |
|
|
| REPO = "HaomingLuo/AgentFEM-Structural-Dynamics-Virtual-Sensing" |
| REVISION = "b171870a1efddf858245cf2ecf92f96b2280c47a" |
| KINDS = ("half_sine_pulse", "sub_resonant_sine", "near_resonant_sine", "chirp") |
| LABELS = ("Pulse", "Sub-resonant\nsine", "Near-resonant\nsine", "Chirp") |
|
|
|
|
| def load_cases(path): |
| rows = [json.loads(line) for line in Path(path).read_text().splitlines() if line.strip()] |
| cases = {} |
| for row in rows: |
| case = cases.setdefault(row["configuration_id"], {}) |
| if row["excitation"] in case: |
| raise ValueError("Duplicate configuration/excitation pair") |
| case[row["excitation"]] = row |
| if len(rows) != 512 or len(cases) != 128: |
| raise ValueError("Expected the pinned v1.1 release: 512 trajectories / 128 configurations") |
| fields = ("length_m", "height_m", "young_pa", "density_kg_m3", "damping_ratio", |
| "traction_amplitude_pa", "first_frequency_hz", "split", "protocol_role") |
| for case in cases.values(): |
| if set(case) != set(KINDS): |
| raise ValueError("Missing excitation") |
| reference = case[KINDS[0]] |
| for row in case.values(): |
| if any(row[key] != reference[key] for key in fields): |
| raise ValueError("Comparisons require the same physical configuration") |
| peak = row["max_abs_tip_displacement_m"] |
| if not np.isfinite(peak) or peak <= 0: |
| raise ValueError("Invalid peak displacement") |
| return cases |
|
|
|
|
| def main(): |
| parser = argparse.ArgumentParser(description=__doc__) |
| parser.add_argument("--index", type=Path, help="Local v1.1 index; omit to download only the index") |
| parser.add_argument("--configuration", type=int, default=119) |
| parser.add_argument("--output", type=Path, default=Path("excitation-comparison.png")) |
| args = parser.parse_args() |
| if args.index is None: |
| from huggingface_hub import hf_hub_download |
| args.index = Path(hf_hub_download(REPO, "index.jsonl", repo_type="dataset", revision=REVISION)) |
| cases = load_cases(args.index) |
| if args.configuration not in cases: |
| parser.error("configuration must be an integer from 0 to 127") |
| case = cases[args.configuration] |
| reference = case[KINDS[0]] |
| peaks = np.array([case[k]["max_abs_tip_displacement_m"] * 1000 for k in KINDS]) |
| plt.rcParams.update({"font.family": "DejaVu Sans", "font.size": 10}) |
| fig, axes = plt.subplots(1, 2, figsize=(12, 5.3)) |
| ax = axes[0] |
| bars = ax.bar(np.arange(4), peaks, color=["#7792a2", "#368b90", "#c58a43", "#746899"], width=.62) |
| ax.bar_label(bars, labels=[f"{p:.4f}" for p in peaks], padding=5, fontsize=9) |
| ax.set_xticks(np.arange(4), LABELS) |
| ax.set_ylim(0, max(peaks) * 1.24) |
| ax.set_ylabel("Peak absolute tip displacement / mm") |
| ax.set_title(f"One structure, four load histories\nConfiguration {args.configuration:04d} · {reference['split']}", loc="left", pad=12) |
| ax = axes[1] |
| roles = [("id", "Test ID", "#368b90"), ("excitation_ood", "Excitation OOD", "#c58a43"), |
| ("parameter_ood", "Parameter OOD", "#746899")] |
| upper = 0.0 |
| counts = {} |
| for role, label, color in roles: |
| selected = [c for c in cases.values() if c[KINDS[0]]["split"] == "test" and c[KINDS[0]]["protocol_role"] == role] |
| counts[role] = len(selected) |
| x = np.array([c["sub_resonant_sine"]["max_abs_tip_displacement_m"] * 1000 for c in selected]) |
| y = np.array([c["near_resonant_sine"]["max_abs_tip_displacement_m"] * 1000 for c in selected]) |
| upper = max(upper, float(max(x.max(), y.max()))) |
| ax.scatter(x, y, label=f"{label} ({len(selected)})", color=color, s=38, zorder=3) |
| if counts != {"id": 8, "excitation_ood": 4, "parameter_ood": 4}: |
| raise ValueError("Unexpected frozen test cohorts") |
| ax.plot([0, upper * 1.08], [0, upper * 1.08], "--", color="#8b9498", lw=1, label="Equal peak response") |
| ax.set(xlim=(0, upper * 1.08), ylim=(0, upper * 1.08), |
| xlabel="Sub-resonant sine peak / mm", ylabel="Near-resonant sine peak / mm") |
| ax.set_title("Paired responses on 16 test structures\nOne point = one physical configuration", loc="left", pad=12) |
| ax.legend(frameon=False, fontsize=8, loc="lower right") |
| for ax in axes: |
| ax.spines[["top", "right"]].set_visible(False) |
| ax.grid(axis="y", alpha=.15) |
| ax.set_axisbelow(True) |
| fig.suptitle("AgentFEM · How excitation changes structural response", x=.08, ha="left", fontsize=16, fontweight="bold") |
| fig.text(.08, .075, f"Selected case: f1 = {reference['first_frequency_hz']:.2f} Hz · damping = {100*reference['damping_ratio']:.2f}% · traction amplitude = {reference['traction_amplitude_pa']/1000:.3f} kPa", fontsize=9) |
| fig.text(.08, .025, "Synthetic FEM peaks over 0.5 s. Different load histories, not a steady-state frequency response or an ML score.", fontsize=9, color="#52606a") |
| fig.tight_layout(rect=(0, .12, 1, .92), w_pad=3) |
| fig.savefig(args.output, dpi=160) |
| plt.close(fig) |
| print(json.dumps({"configuration": args.configuration, "peak_displacement_mm": dict(zip(KINDS, peaks.tolist())), |
| "verified_index_trajectories": 512, "test_configurations": counts, |
| "source_revision": REVISION, "output": str(args.output)}, indent=2)) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
