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69 lines
2.0 KiB
69 lines
2.0 KiB
2 years ago
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import numpy
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import plotly.graph_objects as go
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ee_timings = []
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vf_timings = []
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with open("ccd-timings.txt", "r") as file:
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for line in file:
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stripped_line = line.strip()
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if stripped_line[:2] == "EE":
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ee_timings.append(float(stripped_line.split()[1]))
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elif stripped_line[:2] == "VF":
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vf_timings.append(float(stripped_line.split()[1]))
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# ee_timings = [ee_timing for ee_timing in ee_timings if ee_timing < 2e-4]
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# vf_timings = [vf_timing for vf_timing in vf_timings if vf_timing < 2e-4]
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ee_timings_arr = numpy.array(ee_timings)
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vf_timings_arr = numpy.array(vf_timings)
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max_time = max(max(ee_timings), max(vf_timings))
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print(max_time)
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nbins = 100
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fig = go.Figure(data=[
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go.Histogram(
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x=ee_timings, histnorm="percent",
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xbins=dict(start=0, end=max_time, size=max_time / nbins),
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autobinx=False,
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name="Edge-Edge (mean {:.1e}s)".format(ee_timings_arr.mean())),
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go.Histogram(
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x=vf_timings, histnorm="percent", nbinsx=100,
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xbins=dict(start=0, end=max_time, size=max_time / nbins),
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autobinx=False,
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name="Vertex-Face (mean {:.1e}s)".format(vf_timings_arr.mean()))])
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fig.update_layout(
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# barmode='overlay',
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title="Runtimes Rigid Body CCD",
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xaxis_title="Query Runtime",
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yaxis_title="Percentage of Queries",
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yaxis={
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"ticksuffix": "%",
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"gridcolor": "rgba(0,0,0,0.4)",
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"linecolor": "black",
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"ticks": "outside",
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# "range": [0, 45 if dataset == "handcrafted" else 90]
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},
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xaxis={
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"ticksuffix": "s",
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"showexponent": "all",
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"exponentformat": "e",
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"linecolor": "black",
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"ticks": "outside",
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# "range": [0, 1.7763568394002505e-15]
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},
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bargap=0.1,
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paper_bgcolor='rgba(255,255,255,255)',
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plot_bgcolor='rgba(255,255,255,255)',
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font=dict(
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color="black",
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size=10
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),
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# margin=dict(l=0, r=0, t=5, b=0),
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width=1200,
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height=800
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)
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fig.write_image(f"ccd-timing-histo.pdf")
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fig.show()
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