[2411] | 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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[2425] | 12 | # import matplotlib.pyplot as plt |
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| 13 | # from matplotlib.backends.backend_pdf import PdfPages |
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[2411] | 14 | |
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[2413] | 15 | # Application library imports |
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[2460] | 16 | from libconso import * |
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[2411] | 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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[2524] | 22 | def __init__(self, date, login, dirname, size, date_init, dirsize_init): |
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| 23 | self.date = date |
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[2411] | 24 | self.login = login |
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| 25 | self.dirname = dirname |
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| 26 | self.dirsize = size |
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[2524] | 27 | self.date_init = date_init |
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| 28 | self.dirsize_init = dirsize_init |
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[2411] | 29 | |
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| 30 | #--------------------------------------- |
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| 31 | def __repr__(self): |
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[2524] | 32 | return "{}={}-{}".format(self.dirname, self.dirsize, self.dirsize_init) |
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[2411] | 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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[2524] | 42 | def fill_data(self, filein, fileinit): |
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[2427] | 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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[2462] | 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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[2427] | 55 | missing_values="nan", |
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| 56 | ) |
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[2524] | 57 | except Exception as rc: |
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| 58 | print("Problem with file {} :\n{}".format(filein, rc)) |
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[2427] | 59 | exit(1) |
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[2411] | 60 | |
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[2524] | 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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[2411] | 76 | |
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[2524] | 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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[2411] | 84 | #--------------------------------------- |
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[2524] | 85 | def add_item(self, date, login, dirsize, dirname, date_init, dirsize_init): |
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[2411] | 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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[2524] | 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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[2411] | 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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[2524] | 139 | def add_directory(self, date, login, dirsize, dirname, |
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| 140 | date_init, dirsize_init): |
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[2411] | 141 | """ |
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| 142 | """ |
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[2524] | 143 | self.listdir.append(DirVolume(date, login, dirname, dirsize, |
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| 144 | date_init, dirsize_init)) |
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[2717] | 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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[2411] | 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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[2524] | 160 | def plot_data(ax, coords, ylabels, values, values_init): |
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[2411] | 161 | """ |
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| 162 | """ |
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[2524] | 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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[2411] | 167 | |
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| 168 | |
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| 169 | ######################################## |
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[2524] | 170 | def plot_config(ax, coords, ylabels, dirnames, title, |
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| 171 | tot_volume, tot_volume_init, delta): |
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[2411] | 172 | """ |
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| 173 | """ |
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[2632] | 174 | from matplotlib.ticker import AutoMinorLocator |
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| 175 | |
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[2411] | 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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[2632] | 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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[2411] | 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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[2524] | 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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[2411] | 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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[2526] | 219 | help="verbose mode") |
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[2411] | 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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[2425] | 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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[2411] | 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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[2425] | 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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[2427] | 250 | # from matplotlib.backends.backend_pdf import PdfPages |
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[2425] | 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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[2411] | 255 | # ... Files and directories ... |
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| 256 | # ----------------------------- |
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[2460] | 257 | project_name, DIR, OUT = parse_config("bin/config.ini") |
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| 258 | |
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[2427] | 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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[2411] | 262 | |
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[2524] | 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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[2427] | 270 | today = os.path.basename(file_param).strip(OUT["PARAM"]) |
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| 271 | |
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[2417] | 272 | if args.verbose: |
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[2524] | 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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[2417] | 281 | |
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[2411] | 282 | # .. Get project info .. |
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| 283 | # ====================== |
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[2464] | 284 | projet = Project(project_name) |
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[2460] | 285 | projet.fill_data(file_param) |
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| 286 | projet.get_date_init(file_utheo) |
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[2411] | 287 | |
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[2526] | 288 | # .. Fill in data .. |
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| 289 | # ================== |
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[2411] | 290 | stores = StoreDict() |
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[2524] | 291 | stores.fill_data(file_data, file_init) |
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[2411] | 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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[2524] | 302 | fmt_str = "{:8s} " + 2*"{:%F} {} {:>18s} " + "{} " |
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[2411] | 303 | print( |
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[2524] | 304 | fmt_str.format( |
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[2411] | 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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[2524] | 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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[2411] | 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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[2524] | 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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[2411] | 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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[2524] | 341 | plot_data(ax, coords, ylabels, values, values_init) |
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[2411] | 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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[2460] | 346 | projet.project.upper(), |
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[2411] | 347 | date |
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| 348 | ) |
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[2524] | 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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[2411] | 354 | plot_config(ax, coords, ylabels, dirnames, title, |
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[2524] | 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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[2411] | 358 | |
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| 359 | # ... Save figure ... |
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| 360 | # ------------------- |
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[2428] | 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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[2411] | 364 | |
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[2460] | 365 | plot_save(img_in, img_out, title, DIR) |
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[2428] | 366 | |
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[2425] | 367 | # ... Publish figure on dods ... |
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| 368 | # ------------------------------ |
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| 369 | if args.dods: |
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[2524] | 370 | if args.verbose: |
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| 371 | print("Publish figure on dods") |
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[2460] | 372 | dods_cp(img_in, DIR) |
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[2425] | 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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[2427] | 377 | exit(0) |
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[2433] | 378 | |
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