1 | #!/usr/bin/env python |
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2 | # -*- coding: utf-8 -*- |
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3 | |
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4 | # this must come first |
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5 | from __future__ import print_function, unicode_literals, division |
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6 | |
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7 | # standard library imports |
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8 | from argparse import ArgumentParser |
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9 | import os |
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10 | import os.path |
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11 | import numpy as np |
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12 | # import matplotlib.pyplot as plt |
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13 | # from matplotlib.backends.backend_pdf import PdfPages |
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14 | |
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15 | # Application library imports |
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16 | from libconso import * |
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17 | |
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18 | |
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19 | ######################################## |
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20 | class DirVolume(object): |
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21 | #--------------------------------------- |
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22 | def __init__(self, date, login, dirname, size, date_init, dirsize_init): |
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23 | self.date = date |
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24 | self.login = login |
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25 | self.dirname = dirname |
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26 | self.dirsize = size |
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27 | self.date_init = date_init |
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28 | self.dirsize_init = dirsize_init |
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29 | |
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30 | #--------------------------------------- |
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31 | def __repr__(self): |
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32 | return "{}={}-{}".format(self.dirname, self.dirsize, self.dirsize_init) |
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33 | |
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34 | |
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35 | ######################################## |
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36 | class StoreDict(dict): |
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37 | #--------------------------------------- |
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38 | def __init__(self): |
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39 | self = {} |
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40 | |
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41 | #--------------------------------------- |
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42 | def fill_data(self, filein, fileinit): |
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43 | """ |
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44 | """ |
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45 | try: |
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46 | data = np.genfromtxt( |
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47 | filein, |
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48 | skip_header=1, |
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49 | converters={ |
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50 | 0: string_to_date, |
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51 | 1: str, |
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52 | 2: string_to_size_unit, |
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53 | 3: str, |
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54 | }, |
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55 | missing_values="nan", |
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56 | ) |
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57 | except Exception as rc: |
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58 | print("Problem with file {} :\n{}".format(filein, rc)) |
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59 | exit(1) |
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60 | |
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61 | try: |
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62 | init = np.genfromtxt( |
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63 | fileinit, |
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64 | skip_header=1, |
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65 | converters={ |
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66 | 0: string_to_date, |
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67 | 1: str, |
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68 | 2: string_to_size_unit, |
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69 | 3: str, |
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70 | }, |
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71 | missing_values="nan", |
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72 | ) |
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73 | except Exception as rc: |
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74 | print("Problem with file {} :\n{}".format(filein, rc)) |
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75 | exit(1) |
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76 | |
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77 | for (date, login, dirsize, dirname), \ |
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78 | (date_init, _, dirsize_init, _) in zip(data, init): |
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79 | self.add_item( |
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80 | date, login, dirsize, dirname, |
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81 | date_init, dirsize_init |
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82 | ) |
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83 | |
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84 | #--------------------------------------- |
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85 | def add_item(self, date, login, dirsize, dirname, date_init, dirsize_init): |
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86 | """ |
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87 | """ |
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88 | if login not in self: |
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89 | self[login] = Login(date, login) |
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90 | self[login].add_directory( |
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91 | date, login, dirsize, dirname, |
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92 | date_init, dirsize_init |
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93 | ) |
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94 | |
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95 | #--------------------------------------- |
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96 | def get_items(self): |
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97 | """ |
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98 | """ |
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99 | items = (subitem for item in self.itervalues() |
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100 | for subitem in item.listdir) |
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101 | items = sorted(items, key=lambda item: item.login) |
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102 | |
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103 | return items |
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104 | |
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105 | #--------------------------------------- |
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106 | def get_items_by_name(self, pattern): |
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107 | """ |
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108 | """ |
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109 | items = (subitem for item in self.itervalues() |
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110 | for subitem in item.listdir |
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111 | if pattern in subitem.dirname) |
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112 | items = sorted(items, key=lambda item: item.login) |
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113 | |
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114 | return items |
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115 | |
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116 | |
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117 | ######################################## |
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118 | class Login(object): |
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119 | #--------------------------------------- |
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120 | def __init__(self, date, login): |
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121 | self.date = date |
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122 | self.login = login |
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123 | self.total = SizeUnit(0., "K") |
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124 | self.listdir = [] |
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125 | |
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126 | #--------------------------------------- |
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127 | def __repr__(self): |
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128 | return "{}/{:%F}: {}".format(self.login, self.date, self.listdir) |
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129 | |
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130 | #--------------------------------------- |
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131 | def add_to_total(self, dirsize): |
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132 | """ |
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133 | """ |
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134 | somme = self.total.convert_size("K").size + \ |
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135 | dirsize.convert_size("K").size |
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136 | self.total = SizeUnit(somme, "K") |
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137 | |
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138 | #--------------------------------------- |
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139 | def add_directory(self, date, login, dirsize, dirname, |
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140 | date_init, dirsize_init): |
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141 | """ |
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142 | """ |
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143 | self.listdir.append(DirVolume(date, login, dirname, dirsize, |
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144 | date_init, dirsize_init)) |
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145 | if isinstance(dirsize, SizeUnit): |
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146 | self.add_to_total(dirsize) |
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147 | elif args.verbose: |
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148 | print("No size for {}, {}".format(login, dirname)) |
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149 | |
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150 | |
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151 | ######################################## |
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152 | def plot_init(): |
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153 | paper_size = np.array([29.7, 21.0]) |
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154 | fig, ax = plt.subplots(figsize=(paper_size/2.54)) |
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155 | |
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156 | return fig, ax |
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157 | |
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158 | |
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159 | ######################################## |
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160 | def plot_data(ax, coords, ylabels, values, values_init): |
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161 | """ |
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162 | """ |
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163 | ax.barh(coords, values, align="center", color="orange", |
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164 | linewidth=0.1, label="volume sur STORE ($To$)") |
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165 | ax.barh(coords, values_init, align="center", color="linen", |
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166 | linewidth=0.1, label="volume initial sur STORE ($To$)") |
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167 | |
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168 | |
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169 | ######################################## |
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170 | def plot_config(ax, coords, ylabels, dirnames, title, |
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171 | tot_volume, tot_volume_init, delta): |
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172 | """ |
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173 | """ |
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174 | from matplotlib.ticker import AutoMinorLocator |
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175 | |
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176 | # ... Config axes ... |
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177 | # ------------------- |
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178 | # 1) Range |
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179 | ymin, ymax = coords[0]-1, coords[-1]+1 |
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180 | ax.set_ylim(ymin, ymax) |
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181 | |
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182 | # 2) Ticks labels |
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183 | ax.ticklabel_format(axis="x", style="sci", scilimits=(0, 0)) |
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184 | ax.set_yticks(coords, minor=False) |
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185 | ax.set_yticklabels(ylabels, size="x-small", fontweight="bold") |
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186 | ax.invert_yaxis() |
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187 | |
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188 | minor_locator = AutoMinorLocator() |
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189 | ax.xaxis.set_minor_locator(minor_locator) |
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190 | |
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191 | xmin, xmax = ax.get_xlim() |
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192 | xpos = xmin + (xmax-xmin)/50. |
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193 | for (ypos, text) in zip(coords, dirnames): |
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194 | ax.text(s=text, x=xpos, y=ypos, va="center", ha="left", |
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195 | size="xx-small", color="gray", style="italic") |
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196 | |
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197 | # 3) Define axes title |
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198 | ax.set_xlabel("$To$", fontweight="bold") |
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199 | |
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200 | # ... Main title and legend ... |
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201 | # ----------------------------- |
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202 | ax.set_title(title, fontweight="bold", size="large") |
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203 | ax.legend(loc="best", fontsize="x-small", frameon=False) |
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204 | |
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205 | tot_label = "prod {} = {}\n({} - {})".format( |
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206 | projet.project.upper(), |
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207 | delta, |
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208 | tot_volume, |
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209 | tot_volume_init, |
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210 | ) |
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211 | plt.figtext(x=0.95, y=0.93, s=tot_label, backgroundcolor="linen", |
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212 | ha="right", va="bottom", fontsize="small") |
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213 | |
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214 | |
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215 | ######################################## |
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216 | def get_arguments(): |
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217 | parser = ArgumentParser() |
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218 | parser.add_argument("-v", "--verbose", action="store_true", |
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219 | help="verbose mode") |
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220 | parser.add_argument("-f", "--full", action="store_true", |
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221 | help="plot all the directories in IGCM_OUT" + |
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222 | "(default: plot IPSLCM6 directories)") |
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223 | parser.add_argument("-p", "--pattern", action="store", |
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224 | default="IPSLCM6", |
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225 | help="plot the whole period") |
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226 | parser.add_argument("-s", "--show", action="store_true", |
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227 | help="interactive mode") |
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228 | parser.add_argument("-d", "--dods", action="store_true", |
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229 | help="copy output on dods") |
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230 | |
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231 | return parser.parse_args() |
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232 | |
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233 | |
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234 | ######################################## |
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235 | if __name__ == '__main__': |
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236 | |
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237 | # .. Initialization .. |
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238 | # ==================== |
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239 | # ... Command line arguments ... |
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240 | # ------------------------------ |
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241 | args = get_arguments() |
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242 | |
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243 | # ... Turn interactive mode off ... |
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244 | # --------------------------------- |
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245 | if not args.show: |
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246 | import matplotlib |
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247 | matplotlib.use('Agg') |
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248 | |
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249 | import matplotlib.pyplot as plt |
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250 | # from matplotlib.backends.backend_pdf import PdfPages |
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251 | |
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252 | if not args.show: |
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253 | plt.ioff() |
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254 | |
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255 | # ... Files and directories ... |
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256 | # ----------------------------- |
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257 | project_name, DIR, OUT = parse_config("bin/config.ini") |
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258 | |
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259 | (file_param, file_utheo, file_data) = \ |
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260 | get_input_files(DIR["SAVEDATA"], |
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261 | [OUT["PARAM"], OUT["UTHEO"], OUT["STORE"]]) |
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262 | |
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263 | (file_init, ) = \ |
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264 | get_input_files(DIR["DATA"], [OUT["SINIT"]]) |
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265 | |
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266 | img_name = os.path.splitext( |
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267 | os.path.basename(__file__) |
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268 | )[0].replace("plot_", "") |
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269 | |
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270 | today = os.path.basename(file_param).strip(OUT["PARAM"]) |
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271 | |
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272 | if args.verbose: |
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273 | fmt_str = "{:10s} : {}" |
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274 | print(fmt_str.format("args", args)) |
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275 | print(fmt_str.format("today", today)) |
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276 | print(fmt_str.format("file_param", file_param)) |
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277 | print(fmt_str.format("file_utheo", file_utheo)) |
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278 | print(fmt_str.format("file_data", file_data)) |
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279 | print(fmt_str.format("file_init", file_init)) |
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280 | print(fmt_str.format("img_name", img_name)) |
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281 | |
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282 | # .. Get project info .. |
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283 | # ====================== |
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284 | projet = Project(project_name) |
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285 | projet.fill_data(file_param) |
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286 | projet.get_date_init(file_utheo) |
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287 | |
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288 | # .. Fill in data .. |
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289 | # ================== |
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290 | stores = StoreDict() |
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291 | stores.fill_data(file_data, file_init) |
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292 | |
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293 | # .. Extract data depending on C.L. arguments .. |
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294 | # ============================================== |
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295 | if args.full: |
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296 | selected_items = stores.get_items() |
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297 | else: |
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298 | selected_items = stores.get_items_by_name(args.pattern) |
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299 | |
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300 | if args.verbose: |
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301 | for item in selected_items: |
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302 | fmt_str = "{:8s} " + 2*"{:%F} {} {:>18s} " + "{} " |
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303 | print( |
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304 | fmt_str.format( |
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305 | item.login, |
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306 | item.date, |
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307 | item.dirsize, |
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308 | item.dirsize.convert_size("K"), |
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309 | item.date_init, |
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310 | item.dirsize_init, |
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311 | item.dirsize_init.convert_size("K"), |
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312 | item.dirname, |
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313 | ) |
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314 | ) |
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315 | |
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316 | # .. Compute data to be plotted .. |
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317 | # ================================ |
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318 | ylabels = [item.login for item in selected_items] |
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319 | values = np.array( |
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320 | [item.dirsize.convert_size("T").size for item in selected_items], |
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321 | dtype=float |
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322 | ) |
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323 | values_init = np.array( |
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324 | [item.dirsize_init.convert_size("T").size for item in selected_items], |
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325 | dtype=float |
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326 | ) |
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327 | dirnames = [item.dirname for item in selected_items] |
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328 | date = selected_items[0].date |
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329 | |
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330 | nb_items = len(ylabels) |
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331 | coords = np.linspace(1, nb_items, num=nb_items) |
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332 | |
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333 | # .. Plot stuff .. |
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334 | # ================ |
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335 | # ... Initialize figure ... |
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336 | # ------------------------- |
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337 | (fig, ax) = plot_init() |
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338 | |
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339 | # ... Plot data ... |
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340 | # ----------------- |
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341 | plot_data(ax, coords, ylabels, values, values_init) |
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342 | |
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343 | # ... Tweak figure ... |
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344 | # -------------------- |
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345 | title = "Occupation {} de STORE par login\n{:%d/%m/%Y}".format( |
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346 | projet.project.upper(), |
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347 | date |
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348 | ) |
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349 | |
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350 | tot_volume = np.sum(values) |
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351 | tot_volume_init = np.sum(values_init) |
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352 | delta = tot_volume - tot_volume_init |
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353 | |
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354 | plot_config(ax, coords, ylabels, dirnames, title, |
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355 | SizeUnit(tot_volume, "T"), |
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356 | SizeUnit(tot_volume_init, "T"), |
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357 | SizeUnit(delta, "T")) |
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358 | |
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359 | # ... Save figure ... |
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360 | # ------------------- |
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361 | img_in = os.path.join(DIR["PLOT"], "{}.pdf".format(img_name)) |
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362 | img_out = os.path.join(DIR["SAVEPLOT"], |
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363 | "{}_{}.pdf".format(img_name, today)) |
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364 | |
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365 | plot_save(img_in, img_out, title, DIR) |
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366 | |
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367 | # ... Publish figure on dods ... |
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368 | # ------------------------------ |
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369 | if args.dods: |
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370 | if args.verbose: |
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371 | print("Publish figure on dods") |
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372 | dods_cp(img_in, DIR) |
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373 | |
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374 | if args.show: |
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375 | plt.show() |
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376 | |
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377 | exit(0) |
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378 | |
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