| Conditions | 16 | 
| Total Lines | 57 | 
| Code Lines | 44 | 
| Lines | 0 | 
| Ratio | 0 % | 
| Changes | 0 | ||
Small methods make your code easier to understand, in particular if combined with a good name. Besides, if your method is small, finding a good name is usually much easier.
For example, if you find yourself adding comments to a method's body, this is usually a good sign to extract the commented part to a new method, and use the comment as a starting point when coming up with a good name for this new method.
Commonly applied refactorings include:
If many parameters/temporary variables are present:
Complex classes like ige.IMarshal.IMarshal.__encodeV11() often do a lot of different things. To break such a class down, we need to identify a cohesive component within that class. A common approach to find such a component is to look for fields/methods that share the same prefixes, or suffixes.
Once you have determined the fields that belong together, you can apply the Extract Class refactoring. If the component makes sense as a sub-class, Extract Subclass is also a candidate, and is often faster.
| 1 | #  | 
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| 71 | #try:  | 
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| 72 | # from ICompressScheme import compress  | 
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| 73 | #except ImportError:  | 
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| 74 | compress = {} | 
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| 75 | |||
| 76 | decompress = {} | 
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| 77 | |||
| 78 | for key, value in compress.items():  | 
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| 79 | decompress[str(value)] = key  | 
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| 80 | |||
| 81 | # statistics  | 
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| 82 | import cPickle as pickle  | 
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| 83 | |||
| 84 | class Stats:  | 
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| 85 | def __init__(self):  | 
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| 86 |         self.data = {} | 
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| 87 | self.total = 0  | 
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| 88 | self.hits = 0  | 
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| 89 | self.totalBytes = 0  | 
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| 90 | self.savedBytes = 0  | 
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| 91 | self.encBytes = 0  | 
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| 92 | self.zipBytes = 0  | 
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| 93 | |||
| 94 | # load stats TODO remove profiling code  | 
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| 95 | # TODO change dir according to config file  | 
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| 96 | try:  | 
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| 97 |     fh = open('var/marshal.stats.data', 'rb') | 
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| 98 | stats = pickle.load(fh)  | 
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| 99 | fh.close()  | 
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| 100 | except IOError, e:  | 
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| 101 | stats = Stats()  | 
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| 102 | except EOFError, e:  | 
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| 103 | stats = Stats()  | 
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| 104 | |||
| 105 | def saveStats(directory):  | 
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| 106 | print 'Saving IMarshal statistics'  | 
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| 107 | # stats  | 
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| 108 | fh = open(os.path.join(directory, 'marshal.stats.data'), 'wb')  | 
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| 109 | pickle.dump(stats, fh, 1)  | 
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| 110 | fh.close()  | 
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| 111 | # various data  | 
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| 112 | keys = []  | 
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| 113 | for key in stats.data.keys():  | 
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| 114 | keys.append((len(key) * stats.data[key],key))  | 
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| 115 | keys.sort()  | 
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| 116 | keys.reverse()  | 
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| 117 | fstats = open(os.path.join(directory, 'marshal.stats'), 'w')  | 
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| 118 | fscheme = open(os.path.join(directory, 'marshal.cscheme'), 'w')  | 
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| 119 | fpysrc = open(os.path.join(directory, 'marshal.cscheme.py'), 'w')  | 
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| 120 |     print >> fpysrc, 'compress = {' | 
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| 121 | print >> fstats, '# Summary'  | 
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| 122 | print >> fstats, '# Total strings:', stats.total  | 
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| 123 | print >> fstats, '# Compressed strings:', stats.hits  | 
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| 124 | print >> fstats, '# Uncompressed strings:', stats.total - stats.hits  | 
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| 125 | print >> fstats, '# Ratio:', stats.hits / stats.total * 100L, '%'  | 
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| 126 | print >> fstats, '# Uncompressed size:', stats.totalBytes  | 
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| 127 | print >> fstats, '# Compressed size:', stats.totalBytes - stats.savedBytes  | 
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| 128 | print >> fstats, '# Saved bytes:', stats.savedBytes  | 
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| 184 |