source: benchmark/plot.py@ fc2c57a9

ADT ast-experimental pthread-emulation qualifiedEnum
Last change on this file since fc2c57a9 was 76f5e9f, checked in by Thierry Delisle <tdelisle@…>, 3 years ago

Forgot to commit change to plot.py
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1#!/usr/bin/python3
2"""
3Python Script to plot values obtained by the rmit.py script
4Runs a R.I.P.L.
5
6./plot.py
7-t trials
8-o option:values
9"""
10
11import argparse
12import itertools
13import json
14import math
15import numpy
16import re
17import statistics
18import sys
19
20import matplotlib.pyplot as plt
21from matplotlib.ticker import EngFormatter
22
23class Field:
24 def __init__(self, unit, _min, _log, _name=None):
25 self.unit = unit
26 self.min = _min
27 self.log = _log
28 self.name = _name
29
30field_names = {
31 "ns per ops" : Field('ns' , 0, False),
32 "Number of processors" : Field('' , 1, False),
33 "Ops per procs" : Field('Ops' , 0, False),
34 "Ops per threads" : Field('Ops' , 0, False),
35 "ns per ops/procs" : Field('' , 0, False, _name = "Latency (ns $/$ (Processor $\\times$ Operation))" ),
36 "Number of threads" : Field('' , 1, False),
37 "Total Operations(ops)" : Field('Ops' , 0, False),
38 "Ops/sec/procs" : Field('Ops' , 0, False),
39 "Total blocks" : Field('Blocks', 0, False),
40 "Ops per second" : Field('' , 0, False),
41 "Cycle size (# thrds)" : Field('thrd' , 1, False),
42 "Duration (ms)" : Field('ms' , 0, False),
43 "Target QPS" : Field('' , 0, False),
44 "Actual QPS" : Field('' , 0, False),
45 "Average Read Latency" : Field('us' , 0, True),
46 "Median Read Latency" : Field('us' , 0, True),
47 "Tail Read Latency" : Field('us' , 0, True),
48 "Average Update Latency": Field('us' , 0, True),
49 "Median Update Latency" : Field('us' , 0, True),
50 "Tail Update Latency" : Field('us' , 0, True),
51 "Update Ratio" : Field('\%' , 0, False),
52}
53
54def plot(in_data, x, y, options):
55 fig, ax = plt.subplots()
56 colors = itertools.cycle(['#0095e3','#006cb4','#69df00','#0aa000','#fb0300','#e30002','#fd8f00','#ff7f00','#8f00d6','#4b009a','#ffff00','#b13f00'])
57 series = {} # scatter data for each individual data point
58 groups = {} # data points for x value
59
60 print("Preparing Data")
61
62 for entry in in_data:
63 name = entry[0]
64 if not name in series:
65 series[name] = {'x':[], 'y':[]}
66
67 if not name in groups:
68 groups[name] = {}
69
70 if x in entry[2] and y in entry[2]:
71 xval = entry[2][x]
72 yval = entry[2][y]
73 series[name]['x'].append(xval)
74 series[name]['y'].append(yval)
75
76 if not xval in groups[name]:
77 groups[name][xval] = []
78
79 groups[name][xval].append(yval)
80
81 print("Preparing Lines")
82
83 lines = {} # lines from groups with min, max, median, etc.
84 for name, data in groups.items():
85 if not name in lines:
86 lines[name] = { 'x': [], 'min':[], 'max':[], 'med':[], 'avg':[] }
87
88 for xkey in sorted(data):
89 ys = data[xkey]
90 lines[name]['x'] .append(xkey)
91 lines[name]['min'].append(min(ys))
92 lines[name]['max'].append(max(ys))
93 lines[name]['med'].append(statistics.median(ys))
94 lines[name]['avg'].append(statistics.mean(ys))
95
96 print("Making Plots")
97
98 for name, data in sorted(series.items()):
99 _col = next(colors)
100 plt.scatter(data['x'], data['y'], color=_col, label=name, marker='x')
101 plt.plot(lines[name]['x'], lines[name]['min'], '--', color=_col)
102 plt.plot(lines[name]['x'], lines[name]['max'], '--', color=_col)
103 plt.plot(lines[name]['x'], lines[name]['med'], '-', color=_col)
104
105 print("Calculating Extremums")
106
107 mx = max([max(s['x']) for s in series.values()])
108 my = max([max(s['y']) for s in series.values()])
109
110 print("Finishing Plots")
111
112 plt.ylabel(field_names[y].name if field_names[y].name else y)
113 # plt.xticks(range(1, math.ceil(mx) + 1))
114 plt.xlabel(field_names[x].name if field_names[x].name else x)
115 plt.grid(b = True)
116 ax.xaxis.set_major_formatter( EngFormatter(unit=field_names[x].unit) )
117 if options.logx:
118 ax.set_xscale('log')
119 elif field_names[x].log:
120 ax.set_xscale('log')
121 else:
122 plt.xlim(field_names[x].min, mx + 0.25)
123
124 ax.yaxis.set_major_formatter( EngFormatter(unit=field_names[y].unit) )
125 if options.logy:
126 ax.set_yscale('log')
127 elif field_names[y].log:
128 ax.set_yscale('log')
129 else:
130 plt.ylim(field_names[y].min, options.MaxY if options.MaxY else my*1.2)
131
132 plt.legend(loc='upper left')
133
134 print("Results Ready")
135 if options.out:
136 plt.savefig(options.out, bbox_inches='tight')
137 else:
138 plt.show()
139
140
141if __name__ == "__main__":
142 # ================================================================================
143 # parse command line arguments
144 parser = argparse.ArgumentParser(description='Python Script to draw R.M.I.T. results')
145 parser.add_argument('-f', '--file', nargs='?', type=argparse.FileType('r'), default=sys.stdin, help="Input file")
146 parser.add_argument('-o', '--out', nargs='?', type=str, default=None, help="Output file")
147 parser.add_argument('-y', nargs='?', type=str, default="", help="Which field to use as the Y axis")
148 parser.add_argument('-x', nargs='?', type=str, default="", help="Which field to use as the X axis")
149 parser.add_argument('--logx', action='store_true', help="if set, makes the x-axis logscale")
150 parser.add_argument('--logy', action='store_true', help="if set, makes the y-axis logscale")
151 parser.add_argument('--MaxY', nargs='?', type=int, help="maximum value of the y-axis")
152
153 options = parser.parse_args()
154
155 # ================================================================================
156 # load data
157 try :
158 data = json.load(options.file)
159 except :
160 print('ERROR: could not read input', file=sys.stderr)
161 parser.print_help(sys.stderr)
162 sys.exit(1)
163
164 # ================================================================================
165 # identify the keys
166
167 series = set()
168 fields = set()
169
170 for entry in data:
171 series.add(entry[0])
172 for label in entry[2].keys():
173 fields.add(label)
174
175 if not options.out :
176 print(series)
177 print("fields: ", ' '.join(fields))
178
179 wantx = "Number of processors"
180 wanty = "ns per ops"
181
182 if options.x:
183 if options.x in field_names.keys():
184 wantx = options.x
185 else:
186 print("Could not find X key '{}', defaulting to '{}'".format(options.x, wantx))
187
188 if options.y:
189 if options.y in field_names.keys():
190 wanty = options.y
191 else:
192 print("Could not find Y key '{}', defaulting to '{}'".format(options.y, wanty))
193
194
195 plot(data, wantx, wanty, options)
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