Mercurial > pylearn

annotate bin/pkldu.py @ 1473:91a475ca9b6d

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image_tiling with better scaling for integer inputs
author James Bergstra <bergstrj@iro.umontreal.ca>
date Wed, 18 May 2011 10:52:22 -0400
parents 509d6669429d
children
rev   line source
1459
509d6669429d pkldu - changed /bin/env to /usr/bin/env which is more standard I hope.
James Bergstra <bergstrj@iro.umontreal.ca>
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1 #!/usr/bin/env python
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2 """
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3 Script to analyze disk usage of pickled files. See usage.
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4 """
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5 __authors__ = "Ian Goodfellow, Razvan Pascanu"
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6 __copyright__ = "(c) 2010, Universite de Montreal"
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7 __contact__ = "Razvan Pascanu <r.pascanu@gmail>"
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8
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9 import cPickle, optparse, time, sys
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10
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11
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12 usage = """
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13 pkldu [OPTIONS] file indices
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14
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15 First argument of the program is the file to analyze. Following arguments
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16 help you indexing in the object. For example :
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17 pkldu.py foo.pkl .my_field [my_key] 3
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18
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19 will load an object obj from foo.pkl and analyze obj.my_field["my_key"][3]
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20 """
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21
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22 space_units = [(' B', 1),
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23 ('kB', 2**10),
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24 ('MB', 2**20),
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25 ('GB', 2**30),
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26 ('TB', 2**40)]
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27
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28 time_units = [('s', 1),
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29 ('m', 60),
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30 ('h', 3600) ]
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31
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32 def load(filepath):
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33 f = open(filepath,'rb')
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34 obj = cPickle.load(f)
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35 f.close()
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36 return obj
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37
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38 def format_string(s, maxlen):
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39 if len(s) > maxlen:
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40 s = s[:maxlen]
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41 return s + ' '*(maxlen - len(s))
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42
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43 def prettyprint(size, units, human_readable = False):
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44 unit_name = units[0][0]
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45 rval = size
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46 if human_readable:
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47 for unit, val in units:
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48 if float(size)/val > 1:
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49 unit_name = unit
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50 rval = float(size)/val
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51 return (rval, unit_name)
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52
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53
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54 def analyze(options, filepath, indices):
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56 orig_obj = load(filepath)
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57 cycle_check = {}
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58 obj_name = 'root_obj'
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59 cycle_check[id(orig_obj)] = obj_name
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60
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61 for field in indices:
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62 if field.startswith('['):
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63 assert field.endswith(']')
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64 obj_name += '[' + field[1:-1] + ']'
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65 orig_obj = orig_obj[field[1:-1]]
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66 elif field.startswith('.'):
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67 obj_name += '.' + field
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68 orig_obj = getattr(orig_obj,field[1:])
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69 else:
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70 obj_name + '[' + field + ']'
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71 orig_obj = orig_obj[eval(field)]
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72 if id(orig_obj) in cycle_check:
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73 print ( "You're going in circles, "+obj_name+" is the same as "
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74 +cycle_check[id(orig_obj)])
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75 quit()
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76 cycle_check[id(orig_obj)] = obj_name
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77
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78 s = cPickle.dumps(orig_obj)
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79 prev_bytes = len(s)
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80 print 'original object : \t\t\t\t%6.2f %s'%prettyprint(prev_bytes,
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81 space_units,
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82 options.human)
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83
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84 t1 = time.time()
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85 x = cPickle.loads(s)
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86 t2 = time.time()
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87 prev_t = t2 - t1
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88 print 'load time: %6.2f %s'%prettyprint(prev_t, time_units,
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89 options.human)
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90
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91 print_entries = []
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92 if isinstance(orig_obj, dict):
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93 print 'Object is a dictionary'
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94 keys = [ key for key in orig_obj.keys() ]
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95 for key in keys:
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96 key_name = format_string(key, 40)
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97 s = cPickle.dumps(orig_obj[key])
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98 new_bytes = len(s)
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99 t1 = time.time()
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100 x = cPickle.loads(s)
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101 t2 = time.time()
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102 new_t = t2 - t1
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103 print_entry = 'key: %40s %6.2f %s ( loads in %6.2f %s)'%(
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104 (key_name,) +
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105 prettyprint(new_bytes, space_units, options.human) +
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106 prettyprint(new_t, time_units, options.human) )
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107 if options.order is not 'none':
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108 print 'Processed', key_name
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109 print_entries += [(new_bytes, print_entry)]
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110 else:
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111 print print_entry
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112
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113 elif isinstance(orig_obj, (tuple, list)):
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114 print 'Object is a list/tuple of ', len(orig_obj), 'elements'
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115 for idx, v in enumerate(orig_obj):
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116 s = cPickle.dumps(v)
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117 new_bytes = len(s)
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118 t1 = time.time()
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119 x = cPickle.loads(s)
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120 t2 = time.time()
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121 new_t = t2 - t1
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122 print_entry = 'entry: %03d \t\t\t\t %6.2f %s ( loads in %6.2f %s)' %(
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123 (idx,)+
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124 prettyprint(new_bytes, space_units, options.human) +
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125 prettyprint(new_t, time_units, options.human) )
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126
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127 if options.order is not 'none':
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128 print 'Processed entry number ', idx
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129 print_entries += [(new_bytes, print_entry)]
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130 else:
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131 print print_entry
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132 else:
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133 print 'Object is a '+str(type(orig_obj))
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134 for field in dir(orig_obj):
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135 field_name = format_string( field, 40)
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136 if field.startswith('__') and not options.reserved:
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137 # We skip reserved fields
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138 break
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139 try:
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140 s = cPickle.dumps(getattr(orig_obj, field))
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141 new_bytes = len(s)
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142 t1 = time.time()
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143 x = cPickle.loads(s)
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144 t2 = time.time()
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145 new_t = t2 - t1
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146 print_entry ='field: %40s %6.2f %s ( loads in %6.2f %s)' %(
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147 (field_name,)+
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148 prettyprint(new_bytes, space_units, options.human) +
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149 prettyprint(new_t, time_units, options.human) )
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150
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151 if options.order is not 'none':
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152 print 'Processed field ', field_name
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153 print_entries += [(new_bytes, print_entry)]
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154 else:
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155 print print_entry
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156 except:
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157 print 'Could not pickle field', field_name
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158 if options.order in ('desc','asc'):
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159 reverse = False
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160 if options.order == 'desc':
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161 reverse = True
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162 print_entries = sorted(print_entries
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163 , key = lambda x:x[0]
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164 , reverse = reverse)
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165 for entry in print_entries:
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166 print entry[1]
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167
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168
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169 def process_options():
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170
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171 parser = optparse.OptionParser(usage)
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172
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173 parser.add_option( '-H'
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174 , "--human-readable"
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175 , dest = 'human'
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176 , action="store_true"
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177 , default=False
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178 , help = (' If information should be presented in '
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179 'human readable format')
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180 )
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181
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182 parser.add_option( '-r'
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183 , "--reserved-fields"
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184 , dest = 'reserved'
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185 , action="store_true"
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186 , default=False
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187 , help = (' If information about python reserved '
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188 ' fields (i.e. starting with `__`) '
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189 ' should be displayed' )
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190 )
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191
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192
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193 parser.add_option( '-o'
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194 , "--order-fields"
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195 , dest = 'order'
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196 , default= 'none'
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197 , help = (' Order fields acording the their size.'
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198 ' Possible values are {none, desc, asc}')
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199 )
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200
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201 return parser.parse_args()
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202
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203
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204 if __name__ == '__main__':
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205 (options,args) = process_options()
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206 analyze(options, args[0], args[1:])