| 1 | #!/usr/bin/python3
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| 2 | """
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| 3 | Python Script to plot values obtained by the rmit.py script
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| 4 | Runs a R.I.P.L.
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| 5 |
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| 6 | ./plot.py
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| 7 | -t trials
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| 8 | -o option:values
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| 9 | """
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| 10 |
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| 11 | import argparse
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| 12 | import itertools
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| 13 | import json
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| 14 | import math
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| 15 | import numpy
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| 16 | import re
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| 17 | import sys
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| 18 |
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| 19 | import matplotlib.pyplot as plt
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| 20 | from matplotlib.ticker import EngFormatter
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| 21 |
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| 22 | class Field:
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| 23 | def __init__(self, unit, _min):
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| 24 | self.unit = unit
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| 25 | self.min = _min
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| 26 |
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| 27 | field_names = {
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| 28 | "ns per ops" : Field('ns' , 0),
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| 29 | "Number of processors" : Field('' , 1),
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| 30 | "Ops per procs" : Field('Ops' , 0),
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| 31 | "Ops per threads" : Field('Ops' , 0),
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| 32 | "ns per ops/procs" : Field('ns' , 0),
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| 33 | "Number of threads" : Field('thrd' , 1),
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| 34 | "Total Operations(ops)": Field('Ops' , 0),
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| 35 | "Ops/sec/procs" : Field('Ops' , 0),
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| 36 | "Total blocks" : Field('Blocks', 0),
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| 37 | "Ops per second" : Field('Ops' , 0),
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| 38 | "Cycle size (# thrds)" : Field('thrd' , 1),
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| 39 | "Duration (ms)" : Field('ms' , 0),
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| 40 | }
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| 41 |
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| 42 | def plot(data, x, y, out):
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| 43 | fig, ax = plt.subplots()
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| 44 | colors = itertools.cycle(['#0095e3','#006cb4','#69df00','#0aa000','#fb0300','#e30002','#fd8f00','#ff7f00','#8f00d6','#4b009a','#ffff00','#b13f00'])
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| 45 | series = {}
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| 46 | for entry in data:
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| 47 | if not entry[0] in series:
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| 48 | series[entry[0]] = {'x':[], 'y':[]}
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| 49 |
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| 50 | if x in entry[2] and y in entry[2]:
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| 51 | series[entry[0]]['x'].append(entry[2][x])
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| 52 | series[entry[0]]['y'].append(entry[2][y])
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| 53 |
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| 54 | for name, data in series.items():
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| 55 | plt.scatter(data['x'], data['y'], color=next(colors), label=name, marker='x')
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| 56 |
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| 57 | mx = max([max(s['x']) for s in series.values()])
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| 58 | my = max([max(s['y']) for s in series.values()])
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| 59 |
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| 60 | plt.ylabel(y)
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| 61 | plt.xlim(field_names[x].min, mx + 0.25)
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| 62 | plt.xticks(range(1, math.ceil(mx) + 1))
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| 63 | plt.xlabel(x)
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| 64 | plt.ylim(field_names[y].min, my*1.2)
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| 65 | plt.grid(b = True)
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| 66 | ax.xaxis.set_major_formatter( EngFormatter(unit=field_names[x].unit) )
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| 67 | ax.yaxis.set_major_formatter( EngFormatter(unit=field_names[y].unit) )
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| 68 | plt.legend(loc='upper left')
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| 69 | if out:
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| 70 | plt.savefig(out)
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| 71 | else:
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| 72 | plt.show()
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| 73 |
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| 74 |
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| 75 | if __name__ == "__main__":
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| 76 | # ================================================================================
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| 77 | # parse command line arguments
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| 78 | parser = parser = argparse.ArgumentParser(description='Python Script to draw R.M.I.T. results')
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| 79 | parser.add_argument('-f', '--file', nargs='?', type=argparse.FileType('r'), default=sys.stdin)
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| 80 | parser.add_argument('-o', '--out', nargs='?', type=str, default=None)
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| 81 | parser.add_argument('-y', nargs='?', type=str, default="")
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| 82 |
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| 83 | try:
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| 84 | options = parser.parse_args()
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| 85 | except:
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| 86 | print('ERROR: invalid arguments', file=sys.stderr)
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| 87 | parser.print_help(sys.stderr)
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| 88 | sys.exit(1)
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| 89 |
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| 90 | # ================================================================================
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| 91 | # load data
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| 92 | try :
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| 93 | data = json.load(options.file)
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| 94 | except :
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| 95 | print('ERROR: could not read input', file=sys.stderr)
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| 96 | parser.print_help(sys.stderr)
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| 97 | sys.exit(1)
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| 98 |
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| 99 | # ================================================================================
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| 100 | # identify the keys
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| 101 |
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| 102 | series = set()
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| 103 | fields = set()
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| 104 |
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| 105 | for entry in data:
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| 106 | series.add(entry[0])
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| 107 | for label in entry[2].keys():
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| 108 | fields.add(label)
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| 109 |
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| 110 | if not options.out :
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| 111 | print(series)
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| 112 | print("fields")
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| 113 | for f in fields:
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| 114 | print("{}".format(f))
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| 115 |
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| 116 | if options.y and options.y in field_names.keys():
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| 117 | plot(data, "Number of processors", options.y, options.out)
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| 118 | else:
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| 119 | if options.y:
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| 120 | print("Could not find key '{}', defaulting to 'ns per ops'".format(options.y))
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| 121 | plot(data, "Number of processors", "ns per ops", options.out)
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