| Total Complexity | 4 |
| Total Lines | 27 |
| Duplicated Lines | 70.37 % |
| Changes | 0 | ||
Duplicate code is one of the most pungent code smells. A rule that is often used is to re-structure code once it is duplicated in three or more places.
Common duplication problems, and corresponding solutions are:
| 1 | """Simplemma analyzer for Annif, based on simplemma lemmatizer.""" |
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| 2 | |||
| 3 | import functools |
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| 4 | import simplemma |
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| 5 | from . import analyzer |
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| 6 | |||
| 7 | |||
| 8 | View Code Duplication | class SimplemmaAnalyzer(analyzer.Analyzer): |
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| 9 | name = "simplemma" |
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| 10 | |||
| 11 | def __init__(self, param, **kwargs): |
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| 12 | self.lang = param |
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| 13 | self.langdata = None |
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| 14 | super().__init__(**kwargs) |
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| 15 | |||
| 16 | def __getstate__(self): |
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| 17 | """Return the state of the object for pickling purposes. The langdata |
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| 18 | field is set to None as it's more efficient to use load_data.""" |
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| 19 | |||
| 20 | return {'lang': self.lang, 'langdata': None} |
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| 21 | |||
| 22 | @functools.lru_cache(maxsize=500000) |
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| 23 | def _normalize_word(self, word): |
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| 24 | if self.langdata is None: |
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| 25 | self.langdata = simplemma.load_data(self.lang) |
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| 26 | return simplemma.lemmatize(word, self.langdata) |
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| 27 |