chrislit /
abydos
| Conditions | 23 |
| Total Lines | 99 |
| Code Lines | 65 |
| Lines | 36 |
| Ratio | 36.36 % |
| Tests | 44 |
| CRAP Score | 23 |
| 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 abydos.stemmer._SnowballDanish.SnowballDanish.stem() 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 | # -*- coding: utf-8 -*- |
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| 71 | 1 | def stem(self, word): |
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| 72 | """Return Snowball Danish stem. |
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| 73 | |||
| 74 | Args: |
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| 75 | word (str): The word to stem |
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| 76 | |||
| 77 | Returns: |
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| 78 | str: Word stem |
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| 79 | |||
| 80 | Examples: |
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| 81 | >>> stmr = SnowballDanish() |
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| 82 | >>> stmr.stem('underviser') |
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| 83 | 'undervis' |
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| 84 | >>> stmr.stem('suspension') |
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| 85 | 'suspension' |
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| 86 | >>> stmr.stem('sikkerhed') |
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| 87 | 'sikker' |
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| 88 | |||
| 89 | """ |
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| 90 | # lowercase, normalize, and compose |
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| 91 | 1 | word = normalize('NFC', text_type(word.lower())) |
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| 92 | |||
| 93 | 1 | r1_start = min(max(3, self._sb_r1(word)), len(word)) |
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| 94 | |||
| 95 | # Step 1 |
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| 96 | 1 | _r1 = word[r1_start:] |
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| 97 | 1 | View Code Duplication | if _r1[-7:] == 'erendes': |
| 98 | 1 | word = word[:-7] |
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| 99 | 1 | elif _r1[-6:] in {'erende', 'hedens'}: |
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| 100 | 1 | word = word[:-6] |
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| 101 | 1 | elif _r1[-5:] in { |
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| 102 | 'ethed', |
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| 103 | 'erede', |
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| 104 | 'heden', |
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| 105 | 'heder', |
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| 106 | 'endes', |
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| 107 | 'ernes', |
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| 108 | 'erens', |
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| 109 | 'erets', |
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| 110 | }: |
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| 111 | 1 | word = word[:-5] |
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| 112 | 1 | elif _r1[-4:] in { |
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| 113 | 'ered', |
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| 114 | 'ende', |
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| 115 | 'erne', |
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| 116 | 'eren', |
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| 117 | 'erer', |
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| 118 | 'heds', |
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| 119 | 'enes', |
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| 120 | 'eres', |
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| 121 | 'eret', |
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| 122 | }: |
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| 123 | 1 | word = word[:-4] |
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| 124 | 1 | elif _r1[-3:] in {'hed', 'ene', 'ere', 'ens', 'ers', 'ets'}: |
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| 125 | 1 | word = word[:-3] |
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| 126 | 1 | elif _r1[-2:] in {'en', 'er', 'es', 'et'}: |
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| 127 | 1 | word = word[:-2] |
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| 128 | 1 | elif _r1[-1:] == 'e': |
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| 129 | 1 | word = word[:-1] |
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| 130 | 1 | elif _r1[-1:] == 's': |
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| 131 | 1 | if len(word) > 1 and word[-2] in self._s_endings: |
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| 132 | 1 | word = word[:-1] |
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| 133 | |||
| 134 | # Step 2 |
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| 135 | 1 | if word[r1_start:][-2:] in {'gd', 'dt', 'gt', 'kt'}: |
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| 136 | 1 | word = word[:-1] |
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| 137 | |||
| 138 | # Step 3 |
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| 139 | 1 | if word[-4:] == 'igst': |
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| 140 | 1 | word = word[:-2] |
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| 141 | |||
| 142 | 1 | _r1 = word[r1_start:] |
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| 143 | 1 | repeat_step2 = False |
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| 144 | 1 | if _r1[-4:] == 'elig': |
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| 145 | 1 | word = word[:-4] |
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| 146 | 1 | repeat_step2 = True |
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| 147 | 1 | elif _r1[-4:] == 'løst': |
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| 148 | 1 | word = word[:-1] |
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| 149 | 1 | elif _r1[-3:] in {'lig', 'els'}: |
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| 150 | 1 | word = word[:-3] |
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| 151 | 1 | repeat_step2 = True |
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| 152 | 1 | elif _r1[-2:] == 'ig': |
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| 153 | 1 | word = word[:-2] |
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| 154 | 1 | repeat_step2 = True |
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| 155 | |||
| 156 | 1 | if repeat_step2: |
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| 157 | 1 | if word[r1_start:][-2:] in {'gd', 'dt', 'gt', 'kt'}: |
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| 158 | 1 | word = word[:-1] |
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| 159 | |||
| 160 | # Step 4 |
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| 161 | 1 | if ( |
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| 162 | len(word[r1_start:]) >= 1 |
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| 163 | and len(word) >= 2 |
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| 164 | and word[-1] == word[-2] |
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| 165 | and word[-1] not in self._vowels |
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| 166 | ): |
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| 167 | 1 | word = word[:-1] |
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| 168 | |||
| 169 | 1 | return word |
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| 170 | |||
| 199 |
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