diff options
Diffstat (limited to 'plot_rtas12_betaexp.py')
-rwxr-xr-x | plot_rtas12_betaexp.py | 118 |
1 files changed, 118 insertions, 0 deletions
diff --git a/plot_rtas12_betaexp.py b/plot_rtas12_betaexp.py new file mode 100755 index 0000000..31846f4 --- /dev/null +++ b/plot_rtas12_betaexp.py | |||
@@ -0,0 +1,118 @@ | |||
1 | #!/usr/bin/env python | ||
2 | |||
3 | import sys | ||
4 | import optparse | ||
5 | |||
6 | from plot import Plot | ||
7 | from gnuplot import curve | ||
8 | |||
9 | COLS = {'beta-mean': 0, | ||
10 | 'rel-rt-max-b': 1, | ||
11 | 'rel-rt-mean-b': 2, | ||
12 | 'misses-b': 3, | ||
13 | 'new-misses-b': 4, | ||
14 | 'rel-rt-max-c': 5, | ||
15 | 'rel-rt-mean-c': 6, | ||
16 | 'misses-c': 7, | ||
17 | 'new-misses-c': 8, | ||
18 | 'mean-misses-c': 9, | ||
19 | 'miss-ratio-b': 10, | ||
20 | 'miss-ratio-c': 11} | ||
21 | |||
22 | |||
23 | def parse_args(): | ||
24 | p = optparse.OptionParser(description='make graphs') | ||
25 | p.add_option('--paper', dest='paper', action='store_true', default=False) | ||
26 | return p.parse_args() | ||
27 | |||
28 | |||
29 | def col(key): | ||
30 | """Get the column in the data set.""" | ||
31 | return COLS[key] | ||
32 | |||
33 | |||
34 | def g_col(key): | ||
35 | """Gnuplot is 1-indexed.""" | ||
36 | return 1 + col(key) | ||
37 | |||
38 | |||
39 | def get_y_label(metric): | ||
40 | LABELS = {'rel-rt-max': 'relative response time maximum', | ||
41 | 'rel-rt-mean': 'relative response time mean', | ||
42 | 'miss-ratio': 'deadline miss ratio'} | ||
43 | return LABELS[metric] | ||
44 | |||
45 | |||
46 | def set_plot_opts(p): | ||
47 | p.rounded_caps = True | ||
48 | p.font = 'Helvetica' | ||
49 | p.font_size = '5pt' | ||
50 | p.size = ('8.5cm', '5.25cm') | ||
51 | p.default_style = 'linespoints lw 2.5' | ||
52 | p.default_style += ' smooth bezier' | ||
53 | p.monochrome = False | ||
54 | p.ylog = True | ||
55 | |||
56 | p.line_styles = [(1, "lw 1.5 ps 0.4"), | ||
57 | (2, "lw 1.5 ps 0.4"), | ||
58 | (3, "lw 1.5 ps 0.4"), | ||
59 | (4, "lw 1.5 ps 0.4")] | ||
60 | for i, c in enumerate(p.curves): | ||
61 | c.style = "linespoints ls %d" % (i + 1) | ||
62 | |||
63 | |||
64 | def plot_metric(opts, dat_dir, metric, coin_prob, xr=None): | ||
65 | """Plot metric for each level, enforcement pair at the specified | ||
66 | probability. | ||
67 | |||
68 | .""" | ||
69 | # each coin value gets a plot | ||
70 | p = Plot() | ||
71 | p.output = '{0}/beta-exp_metric={1}_prob={2}'.format(dat_dir, metric, coin_prob) | ||
72 | if xr is not None: | ||
73 | p.output = '{0}_zoom=1'.format(p.output) | ||
74 | p.output = '{0}.pdf'.format(p.output) | ||
75 | |||
76 | p.format = 'pdf' | ||
77 | |||
78 | for (level, enforcement) in [(l, e) for l in ('b', 'c') for e in (0, 1)]: | ||
79 | fname = '{0}/beta_be={1}_prob={2}.csv'.format(dat_dir, enforcement, coin_prob) | ||
80 | ycol = g_col('{0}-{1}'.format(metric, level)) | ||
81 | if enforcement == 1: | ||
82 | ti ='{0} {1}'.format(level.upper(), 'enforcement') | ||
83 | else: | ||
84 | ti ='{0} {1}'.format(level.upper(), 'no enforcement') | ||
85 | c = curve(fname=fname, xcol=g_col('beta-mean'), ycol=ycol, title=ti) | ||
86 | p.curves += [c] | ||
87 | p.xlabel = 'beta mean with probability {0}'.format(coin_prob) | ||
88 | p.ylabel = get_y_label(metric) | ||
89 | set_plot_opts(p) | ||
90 | if xr is not None: | ||
91 | p.xrange = xr | ||
92 | |||
93 | # special formatting cases | ||
94 | if -1 != metric.find('ratio'): | ||
95 | p.ylog = False | ||
96 | p.yrange = (-0.01, 1.01) | ||
97 | p.gnuplot_exec() | ||
98 | |||
99 | def main(): | ||
100 | |||
101 | opts, files = parse_args() | ||
102 | |||
103 | if len(files) < 1: | ||
104 | print >>sys.stderr, "missing directory" | ||
105 | sys.exit(1) | ||
106 | |||
107 | data_dir = files[0] | ||
108 | |||
109 | COIN_VALS = [0.1, 0.5] | ||
110 | for coin_val in COIN_VALS: | ||
111 | plot_metric(opts, data_dir, 'rel-rt-mean', coin_val) | ||
112 | plot_metric(opts, data_dir, 'rel-rt-mean', coin_val, xr=(0.02, 0.11)) | ||
113 | plot_metric(opts, data_dir, 'miss-ratio', coin_val) | ||
114 | # not in paper | ||
115 | plot_metric(opts, data_dir, 'rel-rt-max', coin_val) | ||
116 | |||
117 | if __name__ == '__main__': | ||
118 | main() | ||