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