mirror of
https://github.com/boostorg/histogram.git
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80 lines
2.1 KiB
Python
80 lines
2.1 KiB
Python
import numpy as np
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import matplotlib.pyplot as plt
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import sys
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import re
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from collections import defaultdict, OrderedDict
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from matplotlib.patches import Rectangle
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from matplotlib.lines import Line2D
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from matplotlib.text import Text
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from matplotlib.font_manager import FontProperties
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data = defaultdict(lambda:[])
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for line in open("perf.dat"):
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if line and line[0] == "#": continue
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if line.isspace(): continue
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r = re.search("([0-9])D\n", line)
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if r:
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dim = int(r.group(1))
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continue
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if line.startswith("uniform"):
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dist = "uniform"
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continue
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if line.startswith("normal"):
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dist = "normal"
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continue
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label, time = line.strip().split(" ")
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time = float(time)
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data[dim].append((label, dist, time))
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plt.figure(figsize=(10, 8))
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plt.subplots_adjust(left=0.15, right=0.92, top=0.95, bottom=0.1)
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i = 0
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for dim in sorted(data):
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v = data[dim]
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labels = OrderedDict()
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for label, dist, time in v:
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if label in labels:
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labels[label][dist] = time
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else:
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labels[label] = {dist: time}
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j = 0
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for label, d in labels.items():
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t1 = d["uniform"]
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t2 = d["normal"]
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i -= 1
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z = float(j) / len(labels)
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col = ((1.0-z) * np.array((1.0, 0.0, 0.0))
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+ z * np.array((1.0, 1.0, 0.0)))
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if label == "root":
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col = "k"
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if "numpy" in label:
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col = "0.6"
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if "gsl" in label:
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col = "0.3"
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# r1 = Rectangle((0, i), tmin, 1, facecolor=col, edgecolor="None")
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# r2 = Rectangle((0, i), tmax, 1, facecolor="None", edgecolor=col)
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# plt.gca().add_artist(r1)
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# plt.gca().add_artist(r2)
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r1 = Rectangle((0, i), t1, 0.5, facecolor=col)
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r2 = Rectangle((0, i+0.5), t2, 0.5, facecolor=col)
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plt.gca().add_artist(r1)
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plt.gca().add_artist(r2)
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tx = Text(-0.01, i+0.5, "%s" % label,
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fontsize=17, va="center", ha="right", clip_on=False)
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plt.gca().add_artist(tx)
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j += 1
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i -= 1
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font0 = FontProperties()
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font0.set_size(20)
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font0.set_weight("bold")
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tx = Text(-0.01, i+0.6, "%iD" % dim,
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fontproperties=font0, va="center", ha="right", clip_on=False)
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plt.gca().add_artist(tx)
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plt.ylim(0, i)
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plt.xlim(0, 0.5)
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plt.tick_params("y", left="off", labelleft="off")
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plt.xlabel("time (smaller is better)")
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plt.savefig("benchmark.png")
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plt.show() |