Total Complexity | 74 |
Total Lines | 476 |
Duplicated Lines | 18.49 % |
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:
Complex classes like abydos.phonetic.de 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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2 | |||
3 | # Copyright 2014-2018 by Christopher C. Little. |
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4 | # This file is part of Abydos. |
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5 | # |
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6 | # Abydos is free software: you can redistribute it and/or modify |
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7 | # it under the terms of the GNU General Public License as published by |
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8 | # the Free Software Foundation, either version 3 of the License, or |
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9 | # (at your option) any later version. |
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10 | # |
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11 | # Abydos is distributed in the hope that it will be useful, |
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12 | # but WITHOUT ANY WARRANTY; without even the implied warranty of |
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13 | # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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14 | # GNU General Public License for more details. |
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15 | # |
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16 | # You should have received a copy of the GNU General Public License |
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17 | # along with Abydos. If not, see <http://www.gnu.org/licenses/>. |
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18 | |||
19 | """abydos.phonetic.de. |
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20 | |||
21 | The phonetic.de module implements the Kölner Phonetik and related |
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22 | algorithms for German: |
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23 | |||
24 | - Kölner Phonetik |
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25 | - Phonem |
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26 | - Haase Phonetik |
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27 | - Reth-Schek Phonetik |
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28 | """ |
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29 | |||
30 | from __future__ import unicode_literals |
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31 | |||
32 | from itertools import product |
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33 | from unicodedata import normalize as unicode_normalize |
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34 | |||
35 | from six import text_type |
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36 | from six.moves import range |
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37 | |||
38 | from . import _delete_consecutive_repeats |
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39 | |||
40 | __all__ = ['haase_phonetik', 'koelner_phonetik', |
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41 | 'koelner_phonetik_alpha', 'koelner_phonetik_num_to_alpha', |
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42 | 'phonem', 'reth_schek_phonetik'] |
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43 | |||
44 | |||
45 | def koelner_phonetik(word): |
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46 | """Return the Kölner Phonetik (numeric output) code for a word. |
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47 | |||
48 | Based on the algorithm defined by :cite:`Postel:1969`. |
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49 | |||
50 | While the output code is numeric, it is still a str because 0s can lead |
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51 | the code. |
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52 | |||
53 | :param str word: the word to transform |
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54 | :returns: the Kölner Phonetik value as a numeric string |
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55 | :rtype: str |
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56 | |||
57 | >>> koelner_phonetik('Christopher') |
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58 | '478237' |
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59 | >>> koelner_phonetik('Niall') |
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60 | '65' |
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61 | >>> koelner_phonetik('Smith') |
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62 | '862' |
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63 | >>> koelner_phonetik('Schmidt') |
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64 | '862' |
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65 | >>> koelner_phonetik('Müller') |
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66 | '657' |
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67 | >>> koelner_phonetik('Zimmermann') |
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68 | '86766' |
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69 | """ |
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70 | def _after(word, pos, letters): |
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71 | """Return True if word[i] follows one of the supplied letters.""" |
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72 | return pos > 0 and word[pos-1] in letters |
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73 | |||
74 | def _before(word, pos, letters): |
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75 | """Return True if word[i] precedes one of the supplied letters.""" |
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76 | return pos+1 < len(word) and word[pos+1] in letters |
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77 | |||
78 | _vowels = {'A', 'E', 'I', 'J', 'O', 'U', 'Y'} |
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79 | |||
80 | sdx = '' |
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81 | |||
82 | word = unicode_normalize('NFKD', text_type(word.upper())) |
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83 | word = word.replace('ß', 'SS') |
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84 | |||
85 | word = word.replace('Ä', 'AE') |
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86 | word = word.replace('Ö', 'OE') |
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87 | word = word.replace('Ü', 'UE') |
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88 | word = ''.join(c for c in word if c in |
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89 | {'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', |
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90 | 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', |
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91 | 'Y', 'Z'}) |
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92 | |||
93 | # Nothing to convert, return base case |
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94 | if not word: |
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95 | return sdx |
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96 | |||
97 | for i in range(len(word)): |
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98 | View Code Duplication | if word[i] in _vowels: |
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99 | sdx += '0' |
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100 | elif word[i] == 'B': |
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101 | sdx += '1' |
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102 | elif word[i] == 'P': |
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103 | if _before(word, i, {'H'}): |
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104 | sdx += '3' |
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105 | else: |
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106 | sdx += '1' |
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107 | elif word[i] in {'D', 'T'}: |
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108 | if _before(word, i, {'C', 'S', 'Z'}): |
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109 | sdx += '8' |
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110 | else: |
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111 | sdx += '2' |
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112 | elif word[i] in {'F', 'V', 'W'}: |
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113 | sdx += '3' |
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114 | elif word[i] in {'G', 'K', 'Q'}: |
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115 | sdx += '4' |
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116 | elif word[i] == 'C': |
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117 | if _after(word, i, {'S', 'Z'}): |
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118 | sdx += '8' |
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119 | elif i == 0: |
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120 | if _before(word, i, {'A', 'H', 'K', 'L', 'O', 'Q', 'R', 'U', |
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121 | 'X'}): |
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122 | sdx += '4' |
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123 | else: |
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124 | sdx += '8' |
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125 | elif _before(word, i, {'A', 'H', 'K', 'O', 'Q', 'U', 'X'}): |
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126 | sdx += '4' |
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127 | else: |
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128 | sdx += '8' |
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129 | elif word[i] == 'X': |
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130 | if _after(word, i, {'C', 'K', 'Q'}): |
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131 | sdx += '8' |
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132 | else: |
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133 | sdx += '48' |
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134 | elif word[i] == 'L': |
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135 | sdx += '5' |
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136 | elif word[i] in {'M', 'N'}: |
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137 | sdx += '6' |
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138 | elif word[i] == 'R': |
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139 | sdx += '7' |
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140 | elif word[i] in {'S', 'Z'}: |
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141 | sdx += '8' |
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142 | |||
143 | sdx = _delete_consecutive_repeats(sdx) |
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144 | |||
145 | if sdx: |
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146 | sdx = sdx[:1] + sdx[1:].replace('0', '') |
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147 | |||
148 | return sdx |
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149 | |||
150 | |||
151 | def koelner_phonetik_num_to_alpha(num): |
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152 | """Convert a Kölner Phonetik code from numeric to alphabetic. |
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153 | |||
154 | :param str num: a numeric Kölner Phonetik representation (can be a str or |
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155 | an int) |
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156 | :returns: an alphabetic representation of the same word |
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157 | :rtype: str |
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158 | |||
159 | >>> koelner_phonetik_num_to_alpha('862') |
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160 | 'SNT' |
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161 | >>> koelner_phonetik_num_to_alpha('657') |
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162 | 'NLR' |
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163 | >>> koelner_phonetik_num_to_alpha('86766') |
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164 | 'SNRNN' |
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165 | """ |
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166 | _koelner_num_translation = dict(zip((ord(_) for _ in '012345678'), |
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167 | 'APTFKLNRS')) |
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168 | num = ''.join(c for c in text_type(num) if c in {'0', '1', '2', '3', '4', |
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169 | '5', '6', '7', '8'}) |
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170 | return num.translate(_koelner_num_translation) |
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171 | |||
172 | |||
173 | def koelner_phonetik_alpha(word): |
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174 | """Return the Kölner Phonetik (alphabetic output) code for a word. |
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175 | |||
176 | :param str word: the word to transform |
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177 | :returns: the Kölner Phonetik value as an alphabetic string |
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178 | :rtype: str |
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179 | |||
180 | >>> koelner_phonetik_alpha('Smith') |
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181 | 'SNT' |
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182 | >>> koelner_phonetik_alpha('Schmidt') |
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183 | 'SNT' |
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184 | >>> koelner_phonetik_alpha('Müller') |
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185 | 'NLR' |
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186 | >>> koelner_phonetik_alpha('Zimmermann') |
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187 | 'SNRNN' |
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188 | """ |
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189 | return koelner_phonetik_num_to_alpha(koelner_phonetik(word)) |
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190 | |||
191 | |||
192 | def phonem(word): |
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193 | """Return the Phonem code for a word. |
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194 | |||
195 | Phonem is defined in :cite:`Wilde:1988`. |
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196 | |||
197 | This version is based on the Perl implementation documented at |
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198 | :cite:`Wilz:2005`. |
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199 | It includes some enhancements presented in the Java port at |
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200 | :cite:`dcm4che:2011`. |
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201 | |||
202 | Phonem is intended chiefly for German names/words. |
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203 | |||
204 | :param str word: the word to transform |
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205 | :returns: the Phonem value |
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206 | :rtype: str |
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207 | |||
208 | >>> phonem('Christopher') |
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209 | 'CRYSDOVR' |
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210 | >>> phonem('Niall') |
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211 | 'NYAL' |
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212 | >>> phonem('Smith') |
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213 | 'SMYD' |
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214 | >>> phonem('Schmidt') |
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215 | 'CMYD' |
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216 | """ |
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217 | _phonem_substitutions = (('SC', 'C'), ('SZ', 'C'), ('CZ', 'C'), |
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218 | ('TZ', 'C'), ('TS', 'C'), ('KS', 'X'), |
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219 | ('PF', 'V'), ('QU', 'KW'), ('PH', 'V'), |
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220 | ('UE', 'Y'), ('AE', 'E'), ('OE', 'Ö'), |
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221 | ('EI', 'AY'), ('EY', 'AY'), ('EU', 'OY'), |
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222 | ('AU', 'A§'), ('OU', '§')) |
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223 | _phonem_translation = dict(zip((ord(_) for _ in |
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224 | 'ZKGQÇÑßFWPTÁÀÂÃÅÄÆÉÈÊËIJÌÍÎÏÜݧÚÙÛÔÒÓÕØ'), |
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225 | 'CCCCCNSVVBDAAAAAEEEEEEYYYYYYYYUUUUOOOOÖ')) |
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226 | |||
227 | word = unicode_normalize('NFC', text_type(word.upper())) |
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228 | for i, j in _phonem_substitutions: |
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229 | word = word.replace(i, j) |
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230 | word = word.translate(_phonem_translation) |
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231 | |||
232 | return ''.join(c for c in _delete_consecutive_repeats(word) |
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233 | if c in {'A', 'B', 'C', 'D', 'L', 'M', 'N', 'O', 'R', 'S', |
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234 | 'U', 'V', 'W', 'X', 'Y', 'Ö'}) |
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235 | |||
236 | |||
237 | def haase_phonetik(word, primary_only=False): |
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238 | """Return the Haase Phonetik (numeric output) code for a word. |
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239 | |||
240 | Based on the algorithm described at :cite:`Prante:2015`. |
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241 | |||
242 | Based on the original :cite:`Haase:2000`. |
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243 | |||
244 | While the output code is numeric, it is nevertheless a str. |
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245 | |||
246 | :param str word: the word to transform |
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247 | :param bool primary_only: if True, only the primary code is returned |
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248 | :returns: the Haase Phonetik value as a numeric string |
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249 | :rtype: tuple |
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250 | |||
251 | >>> haase_phonetik('Joachim') |
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252 | ('9496',) |
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253 | >>> haase_phonetik('Christoph') |
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254 | ('4798293', '8798293') |
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255 | >>> haase_phonetik('Jörg') |
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256 | ('974',) |
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257 | >>> haase_phonetik('Smith') |
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258 | ('8692',) |
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259 | >>> haase_phonetik('Schmidt') |
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260 | ('8692', '4692') |
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261 | """ |
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262 | def _after(word, i, letters): |
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263 | """Return True if word[i] follows one of the supplied letters.""" |
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264 | if i > 0 and word[i-1] in letters: |
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265 | return True |
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266 | return False |
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267 | |||
268 | def _before(word, i, letters): |
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269 | """Return True if word[i] precedes one of the supplied letters.""" |
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270 | if i+1 < len(word) and word[i+1] in letters: |
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271 | return True |
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272 | return False |
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273 | |||
274 | _vowels = {'A', 'E', 'I', 'J', 'O', 'U', 'Y'} |
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275 | |||
276 | word = unicode_normalize('NFKD', text_type(word.upper())) |
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277 | word = word.replace('ß', 'SS') |
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278 | |||
279 | word = word.replace('Ä', 'AE') |
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280 | word = word.replace('Ö', 'OE') |
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281 | word = word.replace('Ü', 'UE') |
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282 | word = ''.join(c for c in word if c in |
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283 | {'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', |
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284 | 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', |
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285 | 'Y', 'Z'}) |
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286 | |||
287 | variants = [] |
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288 | if primary_only: |
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289 | variants = [word] |
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290 | else: |
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291 | pos = 0 |
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292 | if word[:2] == 'CH': |
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293 | variants.append(('CH', 'SCH')) |
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294 | pos += 2 |
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295 | len_3_vars = {'OWN': 'AUN', 'WSK': 'RSK', 'SCH': 'CH', 'GLI': 'LI', |
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296 | 'AUX': 'O', 'EUX': 'O'} |
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297 | while pos < len(word): |
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298 | if word[pos:pos+4] == 'ILLE': |
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299 | variants.append(('ILLE', 'I')) |
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300 | pos += 4 |
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301 | elif word[pos:pos+3] in len_3_vars: |
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302 | variants.append((word[pos:pos+3], len_3_vars[word[pos:pos+3]])) |
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303 | pos += 3 |
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304 | elif word[pos:pos+2] == 'RB': |
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305 | variants.append(('RB', 'RW')) |
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306 | pos += 2 |
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307 | elif len(word[pos:]) == 3 and word[pos:] == 'EAU': |
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308 | variants.append(('EAU', 'O')) |
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309 | pos += 3 |
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310 | elif len(word[pos:]) == 1 and word[pos:] in {'A', 'O'}: |
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311 | if word[pos:] == 'O': |
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312 | variants.append(('O', 'OW')) |
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313 | else: |
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314 | variants.append(('A', 'AR')) |
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315 | pos += 1 |
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316 | else: |
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317 | variants.append((word[pos],)) |
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318 | pos += 1 |
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319 | |||
320 | variants = [''.join(letters) for letters in product(*variants)] |
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321 | |||
322 | def _haase_code(word): |
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323 | sdx = '' |
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324 | for i in range(len(word)): |
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325 | View Code Duplication | if word[i] in _vowels: |
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326 | sdx += '9' |
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327 | elif word[i] == 'B': |
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328 | sdx += '1' |
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329 | elif word[i] == 'P': |
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330 | if _before(word, i, {'H'}): |
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331 | sdx += '3' |
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332 | else: |
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333 | sdx += '1' |
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334 | elif word[i] in {'D', 'T'}: |
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335 | if _before(word, i, {'C', 'S', 'Z'}): |
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336 | sdx += '8' |
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337 | else: |
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338 | sdx += '2' |
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339 | elif word[i] in {'F', 'V', 'W'}: |
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340 | sdx += '3' |
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341 | elif word[i] in {'G', 'K', 'Q'}: |
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342 | sdx += '4' |
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343 | elif word[i] == 'C': |
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344 | if _after(word, i, {'S', 'Z'}): |
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345 | sdx += '8' |
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346 | elif i == 0: |
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347 | if _before(word, i, {'A', 'H', 'K', 'L', 'O', 'Q', 'R', |
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348 | 'U', 'X'}): |
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349 | sdx += '4' |
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350 | else: |
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351 | sdx += '8' |
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352 | elif _before(word, i, {'A', 'H', 'K', 'O', 'Q', 'U', 'X'}): |
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353 | sdx += '4' |
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354 | else: |
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355 | sdx += '8' |
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356 | elif word[i] == 'X': |
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357 | if _after(word, i, {'C', 'K', 'Q'}): |
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358 | sdx += '8' |
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359 | else: |
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360 | sdx += '48' |
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361 | elif word[i] == 'L': |
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362 | sdx += '5' |
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363 | elif word[i] in {'M', 'N'}: |
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364 | sdx += '6' |
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365 | elif word[i] == 'R': |
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366 | sdx += '7' |
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367 | elif word[i] in {'S', 'Z'}: |
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368 | sdx += '8' |
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369 | |||
370 | sdx = _delete_consecutive_repeats(sdx) |
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371 | |||
372 | return sdx |
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373 | |||
374 | encoded = tuple(_haase_code(word) for word in variants) |
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375 | if len(encoded) > 1: |
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376 | encoded_set = set() |
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377 | encoded_single = [] |
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378 | for code in encoded: |
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379 | if code not in encoded_set: |
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380 | encoded_set.add(code) |
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381 | encoded_single.append(code) |
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382 | return tuple(encoded_single) |
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383 | |||
384 | return encoded |
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385 | |||
386 | |||
387 | def reth_schek_phonetik(word): |
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388 | """Return Reth-Schek Phonetik code for a word. |
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389 | |||
390 | This algorithm is proposed in :cite:`Reth:1977`. |
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391 | |||
392 | Since I couldn't secure a copy of that document (maybe I'll look for it |
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393 | next time I'm in Germany), this implementation is based on what I could |
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394 | glean from the implementations published by German Record Linkage |
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395 | Center (www.record-linkage.de): |
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396 | |||
397 | - Privacy-preserving Record Linkage (PPRL) (in R) :cite:`Rukasz:2018` |
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398 | - Merge ToolBox (in Java) :cite:`Schnell:2004` |
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399 | |||
400 | Rules that are unclear: |
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401 | |||
402 | - Should 'C' become 'G' or 'Z'? (PPRL has both, 'Z' rule blocked) |
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403 | - Should 'CC' become 'G'? (PPRL has blocked 'CK' that may be typo) |
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404 | - Should 'TUI' -> 'ZUI' rule exist? (PPRL has rule, but I can't |
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405 | think of a German word with '-tui-' in it.) |
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406 | - Should we really change 'SCH' -> 'CH' and then 'CH' -> 'SCH'? |
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407 | |||
408 | :param str word: the word to transform |
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409 | :returns: the Reth-Schek Phonetik code |
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410 | :rtype: str |
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411 | |||
412 | >>> reth_schek_phonetik('Joachim') |
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413 | 'JOAGHIM' |
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414 | >>> reth_schek_phonetik('Christoph') |
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415 | 'GHRISDOF' |
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416 | >>> reth_schek_phonetik('Jörg') |
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417 | 'JOERG' |
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418 | >>> reth_schek_phonetik('Smith') |
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419 | 'SMID' |
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420 | >>> reth_schek_phonetik('Schmidt') |
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421 | 'SCHMID' |
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422 | """ |
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423 | replacements = {3: {'AEH': 'E', 'IEH': 'I', 'OEH': 'OE', 'UEH': 'UE', |
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424 | 'SCH': 'CH', 'ZIO': 'TIO', 'TIU': 'TIO', 'ZIU': 'TIO', |
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425 | 'CHS': 'X', 'CKS': 'X', 'AEU': 'OI'}, |
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426 | 2: {'LL': 'L', 'AA': 'A', 'AH': 'A', 'BB': 'B', 'PP': 'B', |
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427 | 'BP': 'B', 'PB': 'B', 'DD': 'D', 'DT': 'D', 'TT': 'D', |
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428 | 'TH': 'D', 'EE': 'E', 'EH': 'E', 'AE': 'E', 'FF': 'F', |
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429 | 'PH': 'F', 'KK': 'K', 'GG': 'G', 'GK': 'G', 'KG': 'G', |
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430 | 'CK': 'G', 'CC': 'C', 'IE': 'I', 'IH': 'I', 'MM': 'M', |
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431 | 'NN': 'N', 'OO': 'O', 'OH': 'O', 'SZ': 'S', 'UH': 'U', |
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432 | 'GS': 'X', 'KS': 'X', 'TZ': 'Z', 'AY': 'AI', |
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433 | 'EI': 'AI', 'EY': 'AI', 'EU': 'OI', 'RR': 'R', |
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434 | 'SS': 'S', 'KW': 'QU'}, |
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435 | 1: {'P': 'B', 'T': 'D', 'V': 'F', 'W': 'F', 'C': 'G', |
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436 | 'K': 'G', 'Y': 'I'}} |
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437 | |||
438 | # Uppercase |
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439 | word = word.upper() |
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440 | |||
441 | # Replace umlauts/eszett |
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442 | word = word.replace('Ä', 'AE') |
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443 | word = word.replace('Ö', 'OE') |
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444 | word = word.replace('Ü', 'UE') |
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445 | word = word.replace('ß', 'SS') |
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446 | |||
447 | # Main loop, using above replacements table |
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448 | pos = 0 |
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449 | while pos < len(word): |
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450 | for num in range(3, 0, -1): |
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451 | if word[pos:pos+num] in replacements[num]: |
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452 | word = (word[:pos] + replacements[num][word[pos:pos+num]] |
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453 | + word[pos+num:]) |
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454 | pos += 1 |
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455 | break |
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456 | else: |
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457 | pos += 1 # Advance if nothing is recognized |
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458 | |||
459 | # Change 'CH' back(?) to 'SCH' |
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460 | word = word.replace('CH', 'SCH') |
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461 | |||
462 | # Replace final sequences |
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463 | if word[-2:] == 'ER': |
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464 | word = word[:-2]+'R' |
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465 | elif word[-2:] == 'EL': |
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466 | word = word[:-2]+'L' |
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467 | elif word[-1:] == 'H': |
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468 | word = word[:-1] |
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469 | |||
470 | return word |
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471 | |||
472 | |||
473 | if __name__ == '__main__': |
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474 | import doctest |
||
475 | doctest.testmod() |
||
476 |