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SnowballNorwegian.stem()   F

Complexity

Conditions 21

Size

Total Lines 85
Code Lines 49

Duplication

Lines 0
Ratio 0 %

Code Coverage

Tests 37
CRAP Score 21

Importance

Changes 0
Metric Value
cc 21
eloc 49
nop 2
dl 0
loc 85
ccs 37
cts 37
cp 1
crap 21
rs 0
c 0
b 0
f 0

How to fix   Long Method    Complexity   

Long Method

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:

Complexity

Complex classes like abydos.stemmer._snowball_norwegian.SnowballNorwegian.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.

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# -*- coding: utf-8 -*-
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# Copyright 2014-2018 by Christopher C. Little.
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# This file is part of Abydos.
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#
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# Abydos is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# Abydos is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with Abydos. If not, see <http://www.gnu.org/licenses/>.
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"""abydos.stemmer._snowball_norwegian.
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Snowball Norwegian stemmer
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"""
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from __future__ import (
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    absolute_import,
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    division,
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    print_function,
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    unicode_literals,
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)
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from unicodedata import normalize
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from six import text_type
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from ._snowball import _Snowball
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__all__ = ['SnowballNorwegian', 'sb_norwegian']
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class SnowballNorwegian(_Snowball):
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    """Snowball Norwegian stemmer.
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    The Snowball Norwegian stemmer is defined at:
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    http://snowball.tartarus.org/algorithms/norwegian/stemmer.html
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    """
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    _vowels = {'a', 'e', 'i', 'o', 'u', 'y', 'å', 'æ', 'ø'}
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    _s_endings = {
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        'b',
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        'c',
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        'd',
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        'f',
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        'g',
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        'h',
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        'j',
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        'l',
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        'm',
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        'n',
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        'o',
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        'p',
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        'r',
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        't',
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        'v',
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        'y',
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        'z',
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    }
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    def stem(self, word):
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        """Return Snowball Norwegian stem.
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        Parameters
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        ----------
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        word : str
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            The word to stem
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        Returns
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        -------
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        str
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            Word stem
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        Examples
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        --------
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        >>> stmr = SnowballNorwegian()
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        >>> stmr.stem('lese')
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        'les'
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        >>> stmr.stem('suspensjon')
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        'suspensjon'
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        >>> stmr.stem('sikkerhet')
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        'sikker'
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        """
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        # lowercase, normalize, and compose
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        word = normalize('NFC', text_type(word.lower()))
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        r1_start = min(max(3, self._sb_r1(word)), len(word))
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        # Step 1
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        _r1 = word[r1_start:]
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        if _r1[-7:] == 'hetenes':
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            word = word[:-7]
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        elif _r1[-6:] in {'hetene', 'hetens'}:
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            word = word[:-6]
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        elif _r1[-5:] in {'heten', 'heter', 'endes'}:
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            word = word[:-5]
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        elif _r1[-4:] in {'ande', 'ende', 'edes', 'enes', 'erte'}:
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            if word[-4:] == 'erte':
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                word = word[:-2]
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            else:
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                word = word[:-4]
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        elif _r1[-3:] in {
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            'ede',
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            'ane',
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            'ene',
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            'ens',
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            'ers',
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            'ets',
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            'het',
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            'ast',
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            'ert',
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        }:
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            if word[-3:] == 'ert':
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                word = word[:-1]
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            else:
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                word = word[:-3]
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        elif _r1[-2:] in {'en', 'ar', 'er', 'as', 'es', 'et'}:
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            word = word[:-2]
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        elif _r1[-1:] in {'a', 'e'}:
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            word = word[:-1]
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        elif _r1[-1:] == 's':
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            if (len(word) > 1 and word[-2] in self._s_endings) or (
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                len(word) > 2
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                and word[-2] == 'k'
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                and word[-3] not in self._vowels
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            ):
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                word = word[:-1]
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        # Step 2
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        if word[r1_start:][-2:] in {'dt', 'vt'}:
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            word = word[:-1]
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        # Step 3
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        _r1 = word[r1_start:]
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        if _r1[-7:] == 'hetslov':
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            word = word[:-7]
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        elif _r1[-4:] in {'eleg', 'elig', 'elov', 'slov'}:
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            word = word[:-4]
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        elif _r1[-3:] in {'leg', 'eig', 'lig', 'els', 'lov'}:
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            word = word[:-3]
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        elif _r1[-2:] == 'ig':
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            word = word[:-2]
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        return word
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def sb_norwegian(word):
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    """Return Snowball Norwegian stem.
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    This is a wrapper for :py:meth:`SnowballNorwegian.stem`.
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    Parameters
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    ----------
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    word : str
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        The word to stem
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    Returns
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    -------
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    str
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        Word stem
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    Examples
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    --------
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    >>> sb_norwegian('lese')
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    'les'
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    >>> sb_norwegian('suspensjon')
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    'suspensjon'
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    >>> sb_norwegian('sikkerhet')
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    'sikker'
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    """
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    return SnowballNorwegian().stem(word)
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if __name__ == '__main__':
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    import doctest
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    doctest.testmod()
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