| 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 |