"""Scientific playback of native rod poses, explicitly a material fixture.""" import argparse,json from pathlib import Path import numpy as np import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt from matplotlib.animation import FuncAnimation,PillowWriter p=argparse.ArgumentParser();p.add_argument('result',type=Path);a=p.parse_args();root=a.result r=json.loads((root/'report.json').read_text());d=np.load(root/'replay.npz');rows=json.loads((root/'trajectory.json').read_text()) assert r['status']=='completed';q=d['body_q'];ids=r['rod_bodies'];times=d['times'] fig=plt.figure(figsize=(11.5,5.3));ax=fig.add_subplot(121,projection='3d');chart=fig.add_subplot(122) fig.subplots_adjust(left=.035,right=.98,bottom=.17,top=.89,wspace=.32) ax.set(xlim=(-.2,.2),ylim=(-.2,.2),zlim=(0,.45),xlabel='x (m)',ylabel='y (m)',zlabel='z (m)') ax.view_init(elev=22,azim=-65);ax.set_box_aspect((1,1,1.1));line,=ax.plot([],[],[],lw=2,color='#346d88');point,=ax.plot([],[],[],'o',color='#c56c36') chart.plot([x['time'] for x in rows],[x['tip_z_m'] for x in rows],label='Measured upper endpoint height',color='#346d88') chart.axvline(r['release_time_s'],ls='--',color='#c56c36',label='Fixture force removed');marker=chart.axvline(0,color='#263644',alpha=.5) chart.set(xlabel='Simulation time (s)',ylabel='Endpoint height (m)',ylim=(0,.45));chart.legend(fontsize=8);chart.grid(alpha=.2) label=fig.suptitle('');fig.text(.5,.025,'Native rod poses. Boundary-fixture diagnostic: no cloth, straps or robot. NOT a completed basket benchmark.',ha='center',fontsize=9) def update(i): pts=q[i,ids,:3];line.set_data_3d(pts[:,0],pts[:,1],pts[:,2]);tip=q[i,r['tip_body'],:3];point.set_data_3d([tip[0]],[tip[1]],[tip[2]]) marker.set_xdata([times[i],times[i]]);label.set_text(f"PL03 coil probe | gravity={r['args'].get('gravity',-9.81):g} m/s² | t={times[i]:.2f}s") return line,point,marker,label indices=range(0,len(times),2);ani=FuncAnimation(fig,update,frames=indices,interval=40,blit=False) ani.save(root/'mechanism_diagnostic.gif',writer=PillowWriter(fps=25));update(min(range(len(times)),key=lambda i:abs(times[i]-1.65))) fig.savefig(root/'mechanism_diagnostic.png',dpi=160);plt.close(fig) print(root/'mechanism_diagnostic.gif')