Source code for abydos.tokenizer._sonoripy

# Copyright 2018-2020 by Christopher C. Little.
# This file is part of Abydos.
#
# Abydos is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Abydos is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with Abydos. If not, see <http://www.gnu.org/licenses/>.

"""abydos.tokenizer._sonoripy.

SonoriPy class
"""

from ._tokenizer import _Tokenizer

try:
    from syllabipy.sonoripy import SonoriPy
except ImportError:  # pragma: no cover
    # If the system lacks the SyllabiPy library, that's fine, but SyllabiPy
    # tokenization won't be supported.
    SonoriPy = None


[docs]class SonoriPyTokenizer(_Tokenizer): """SonoriPy tokenizer. .. versionadded:: 0.4.0 """ def __init__(self, scaler=None): """Initialize Tokenizer. Parameters ---------- scaler : None, str, or function A scaling function for the Counter: - None : no scaling - 'set' : All non-zero values are set to 1. - 'length' : Each token has weight equal to its length. - 'length-log' : Each token has weight equal to the log of its length + 1. - 'length-exp' : Each token has weight equal to e raised to its length. - a callable function : The function is applied to each value in the Counter. Some useful functions include math.exp, math.log1p, math.sqrt, and indexes into interesting integer sequences such as the Fibonacci sequence. .. versionadded:: 0.4.0 """ if SonoriPy is None: raise TypeError( # pragma: no cover 'SonoriPy tokenizer requires installation of SyllabiPy' + ' package.' ) super(SonoriPyTokenizer, self).__init__(scaler)
[docs] def tokenize(self, string): """Tokenize the term and store it. The tokenized term is stored as an ordered list and as a Counter object. Parameters ---------- string : str The string to tokenize Examples -------- >>> SonoriPyTokenizer().tokenize('seven-twelfths') SonoriPyTokenizer({'se': 1, 'ven-': 1, 'twelfths': 1}) >>> SonoriPyTokenizer().tokenize('character') SonoriPyTokenizer({'cha': 1, 'rac': 1, 'ter': 1}) .. versionadded:: 0.4.0 """ self._string = string self._ordered_tokens = [] for word in string.split(): self._ordered_tokens += SonoriPy(word) if not self._ordered_tokens: self._ordered_tokens = [self._string] super(SonoriPyTokenizer, self).tokenize() return self
if __name__ == '__main__': import doctest doctest.testmod()