| from pathlib import Path |
| import json |
| import matplotlib |
| matplotlib.use('Agg') |
| import matplotlib.pyplot as plt |
| import numpy as np |
| root=Path(__file__).resolve().parent |
| m=json.loads((root/'results/metrics.json').read_text()) |
| plt.rcParams.update({ |
| 'font.family':'DejaVu Sans','font.size':10.5, |
| 'axes.labelsize':10.5,'axes.titlesize':11, |
| 'xtick.labelsize':9.5,'ytick.labelsize':9.5, |
| 'axes.spines.top':False,'axes.spines.right':False, |
| 'figure.facecolor':'white','pdf.fonttype':42}) |
| |
| |
| |
| fig=plt.figure(figsize=(6.5,6.6),layout='constrained') |
| grid=fig.add_gridspec(2,2,height_ratios=[1.12,.88]) |
| axs=[fig.add_subplot(grid[0,0]),fig.add_subplot(grid[0,1]), |
| fig.add_subplot(grid[1,:])] |
| colors=['#233954','#a94960','#6a9e9b'] |
| labels=['Raw int16','zlib','WAV'] |
| x=np.arange(2) |
| for j,key in enumerate(['raw_bytes','compressed_bytes','wav_bytes']): |
| axs[0].bar(x+(j-1)*.24,[r[key]/1024 for r in m['codec']],width=.23,label=labels[j],color=colors[j]) |
| axs[0].set_xticks(x,['Structured','Uniform\nrandom']) |
| axs[0].set_ylabel('Size (KiB)');axs[0].set_title('A. Lossless file sizes',loc='left') |
| axs[0].set_ylim(0,65) |
| axs[0].legend(frameon=False,fontsize=9.5,loc='upper left',handlelength=1.2) |
| axs[0].grid(axis='y',alpha=.15);axs[0].set_axisbelow(True) |
| for order,color in zip([1,2,5],colors): |
| rows=[r for r in m['jet']['finite_difference_controls'] if r['order']==order] |
| axs[1].loglog([r['step'] for r in rows],[r['absolute_error'] for r in rows],'-o',color=color,markersize=4,label=f'FD order {order}') |
| axs[1].axhline(m['jet']['max_absolute_error'],ls='--',color='#756b96',label='Jet max (32)') |
| axs[1].set_xlabel('Step size h');axs[1].set_ylabel('Absolute derivative error') |
| axs[1].set_title('B. Mixed derivatives',loc='left') |
| axs[1].legend(frameon=False,fontsize=9.5,loc='lower right', |
| bbox_to_anchor=(1,.08),handlelength=1.2) |
| axs[1].grid(alpha=.15) |
| rows=m['heat']['progression'];base=rows[0]['centered_l2_norm'] |
| axs[2].plot([r['time'] for r in rows],[r['centered_l2_norm']/base for r in rows],'-o',color='#a94960',lw=1.8,markersize=5) |
| axs[2].set_xlabel('Heat evolution parameter t');axs[2].set_ylabel('Centered L2 norm ratio') |
| axs[2].set_title('C. Five-axis smoothing',loc='left') |
| axs[2].set_ylim(0,1.05) |
| axs[2].grid(alpha=.15) |
| axs[2].text(.97,.95,'Axis rates: 0.4, 0.8, 1.2, 1.6, 2.0', |
| transform=axs[2].transAxes,ha='right',va='top',fontsize=9.5) |
| fig.savefig(root/'results/codec_checks.png',dpi=200) |
| fig.savefig(root/'results/codec_checks.pdf') |
| plt.close(fig) |
|
|
