Total Complexity | 74 |
Total Lines | 647 |
Duplicated Lines | 13.6 % |
Coverage | 100% |
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 | 1 | """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 | 1 | from __future__ import unicode_literals |
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31 | |||
32 | 1 | from itertools import product |
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33 | 1 | from unicodedata import normalize as unicode_normalize |
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34 | |||
35 | 1 | from six import text_type |
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36 | 1 | from six.moves import range |
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37 | |||
38 | 1 | from . import _delete_consecutive_repeats |
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39 | |||
40 | 1 | __all__ = [ |
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41 | 'haase_phonetik', |
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42 | 'koelner_phonetik', |
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43 | 'koelner_phonetik_alpha', |
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44 | 'koelner_phonetik_num_to_alpha', |
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45 | 'phonem', |
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46 | 'reth_schek_phonetik', |
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47 | ] |
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48 | |||
49 | |||
50 | 1 | def koelner_phonetik(word): |
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51 | """Return the Kölner Phonetik (numeric output) code for a word. |
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52 | |||
53 | Based on the algorithm defined by :cite:`Postel:1969`. |
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54 | |||
55 | While the output code is numeric, it is still a str because 0s can lead |
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56 | the code. |
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57 | |||
58 | :param str word: the word to transform |
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59 | :returns: the Kölner Phonetik value as a numeric string |
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60 | :rtype: str |
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61 | |||
62 | >>> koelner_phonetik('Christopher') |
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63 | '478237' |
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64 | >>> koelner_phonetik('Niall') |
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65 | '65' |
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66 | >>> koelner_phonetik('Smith') |
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67 | '862' |
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68 | >>> koelner_phonetik('Schmidt') |
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69 | '862' |
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70 | >>> koelner_phonetik('Müller') |
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71 | '657' |
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72 | >>> koelner_phonetik('Zimmermann') |
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73 | '86766' |
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74 | """ |
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75 | |||
76 | 1 | def _after(word, pos, letters): |
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77 | """Return True if word[i] follows one of the supplied letters.""" |
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78 | 1 | return pos > 0 and word[pos - 1] in letters |
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79 | |||
80 | 1 | def _before(word, pos, letters): |
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81 | """Return True if word[i] precedes one of the supplied letters.""" |
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82 | 1 | return pos + 1 < len(word) and word[pos + 1] in letters |
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83 | |||
84 | 1 | _vowels = {'A', 'E', 'I', 'J', 'O', 'U', 'Y'} |
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85 | |||
86 | 1 | sdx = '' |
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87 | |||
88 | 1 | word = unicode_normalize('NFKD', text_type(word.upper())) |
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89 | 1 | word = word.replace('ß', 'SS') |
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90 | |||
91 | 1 | word = word.replace('Ä', 'AE') |
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92 | 1 | word = word.replace('Ö', 'OE') |
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93 | 1 | word = word.replace('Ü', 'UE') |
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94 | 1 | word = ''.join( |
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95 | c |
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96 | for c in word |
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97 | if c |
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98 | in { |
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99 | 'A', |
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100 | 'B', |
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101 | 'C', |
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102 | 'D', |
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103 | 'E', |
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104 | 'F', |
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105 | 'G', |
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106 | 'H', |
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107 | 'I', |
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108 | 'J', |
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109 | 'K', |
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110 | 'L', |
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111 | 'M', |
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112 | 'N', |
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113 | 'O', |
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114 | 'P', |
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115 | 'Q', |
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116 | 'R', |
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117 | 'S', |
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118 | 'T', |
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119 | 'U', |
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120 | 'V', |
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121 | 'W', |
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122 | 'X', |
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123 | 'Y', |
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124 | 'Z', |
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125 | } |
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126 | ) |
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127 | |||
128 | # Nothing to convert, return base case |
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129 | 1 | if not word: |
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130 | 1 | return sdx |
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131 | |||
132 | 1 | for i in range(len(word)): |
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133 | 1 | View Code Duplication | if word[i] in _vowels: |
134 | 1 | sdx += '0' |
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135 | 1 | elif word[i] == 'B': |
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136 | 1 | sdx += '1' |
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137 | 1 | elif word[i] == 'P': |
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138 | 1 | if _before(word, i, {'H'}): |
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139 | 1 | sdx += '3' |
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140 | else: |
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141 | 1 | sdx += '1' |
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142 | 1 | elif word[i] in {'D', 'T'}: |
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143 | 1 | if _before(word, i, {'C', 'S', 'Z'}): |
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144 | 1 | sdx += '8' |
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145 | else: |
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146 | 1 | sdx += '2' |
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147 | 1 | elif word[i] in {'F', 'V', 'W'}: |
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148 | 1 | sdx += '3' |
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149 | 1 | elif word[i] in {'G', 'K', 'Q'}: |
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150 | 1 | sdx += '4' |
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151 | 1 | elif word[i] == 'C': |
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152 | 1 | if _after(word, i, {'S', 'Z'}): |
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153 | 1 | sdx += '8' |
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154 | 1 | elif i == 0: |
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155 | 1 | if _before( |
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156 | word, i, {'A', 'H', 'K', 'L', 'O', 'Q', 'R', 'U', 'X'} |
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157 | ): |
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158 | 1 | sdx += '4' |
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159 | else: |
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160 | 1 | sdx += '8' |
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161 | 1 | elif _before(word, i, {'A', 'H', 'K', 'O', 'Q', 'U', 'X'}): |
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162 | 1 | sdx += '4' |
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163 | else: |
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164 | 1 | sdx += '8' |
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165 | 1 | elif word[i] == 'X': |
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166 | 1 | if _after(word, i, {'C', 'K', 'Q'}): |
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167 | 1 | sdx += '8' |
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168 | else: |
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169 | 1 | sdx += '48' |
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170 | 1 | elif word[i] == 'L': |
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171 | 1 | sdx += '5' |
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172 | 1 | elif word[i] in {'M', 'N'}: |
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173 | 1 | sdx += '6' |
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174 | 1 | elif word[i] == 'R': |
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175 | 1 | sdx += '7' |
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176 | 1 | elif word[i] in {'S', 'Z'}: |
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177 | 1 | sdx += '8' |
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178 | |||
179 | 1 | sdx = _delete_consecutive_repeats(sdx) |
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180 | |||
181 | 1 | if sdx: |
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182 | 1 | sdx = sdx[:1] + sdx[1:].replace('0', '') |
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183 | |||
184 | 1 | return sdx |
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185 | |||
186 | |||
187 | 1 | def koelner_phonetik_num_to_alpha(num): |
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188 | """Convert a Kölner Phonetik code from numeric to alphabetic. |
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189 | |||
190 | :param str num: a numeric Kölner Phonetik representation (can be a str or |
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191 | an int) |
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192 | :returns: an alphabetic representation of the same word |
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193 | :rtype: str |
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194 | |||
195 | >>> koelner_phonetik_num_to_alpha('862') |
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196 | 'SNT' |
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197 | >>> koelner_phonetik_num_to_alpha('657') |
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198 | 'NLR' |
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199 | >>> koelner_phonetik_num_to_alpha('86766') |
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200 | 'SNRNN' |
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201 | """ |
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202 | 1 | _koelner_num_translation = dict( |
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203 | zip((ord(_) for _ in '012345678'), 'APTFKLNRS') |
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204 | ) |
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205 | 1 | num = ''.join( |
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206 | c |
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207 | for c in text_type(num) |
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208 | if c in {'0', '1', '2', '3', '4', '5', '6', '7', '8'} |
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209 | ) |
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210 | 1 | return num.translate(_koelner_num_translation) |
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211 | |||
212 | |||
213 | 1 | def koelner_phonetik_alpha(word): |
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214 | """Return the Kölner Phonetik (alphabetic output) code for a word. |
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215 | |||
216 | :param str word: the word to transform |
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217 | :returns: the Kölner Phonetik value as an alphabetic string |
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218 | :rtype: str |
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219 | |||
220 | >>> koelner_phonetik_alpha('Smith') |
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221 | 'SNT' |
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222 | >>> koelner_phonetik_alpha('Schmidt') |
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223 | 'SNT' |
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224 | >>> koelner_phonetik_alpha('Müller') |
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225 | 'NLR' |
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226 | >>> koelner_phonetik_alpha('Zimmermann') |
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227 | 'SNRNN' |
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228 | """ |
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229 | 1 | return koelner_phonetik_num_to_alpha(koelner_phonetik(word)) |
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230 | |||
231 | |||
232 | 1 | def phonem(word): |
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233 | """Return the Phonem code for a word. |
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234 | |||
235 | Phonem is defined in :cite:`Wilde:1988`. |
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236 | |||
237 | This version is based on the Perl implementation documented at |
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238 | :cite:`Wilz:2005`. |
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239 | It includes some enhancements presented in the Java port at |
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240 | :cite:`dcm4che:2011`. |
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241 | |||
242 | Phonem is intended chiefly for German names/words. |
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243 | |||
244 | :param str word: the word to transform |
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245 | :returns: the Phonem value |
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246 | :rtype: str |
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247 | |||
248 | >>> phonem('Christopher') |
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249 | 'CRYSDOVR' |
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250 | >>> phonem('Niall') |
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251 | 'NYAL' |
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252 | >>> phonem('Smith') |
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253 | 'SMYD' |
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254 | >>> phonem('Schmidt') |
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255 | 'CMYD' |
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256 | """ |
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257 | 1 | _phonem_substitutions = ( |
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258 | ('SC', 'C'), |
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259 | ('SZ', 'C'), |
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260 | ('CZ', 'C'), |
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261 | ('TZ', 'C'), |
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262 | ('TS', 'C'), |
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263 | ('KS', 'X'), |
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264 | ('PF', 'V'), |
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265 | ('QU', 'KW'), |
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266 | ('PH', 'V'), |
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267 | ('UE', 'Y'), |
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268 | ('AE', 'E'), |
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269 | ('OE', 'Ö'), |
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270 | ('EI', 'AY'), |
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271 | ('EY', 'AY'), |
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272 | ('EU', 'OY'), |
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273 | ('AU', 'A§'), |
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274 | ('OU', '§'), |
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275 | ) |
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276 | 1 | _phonem_translation = dict( |
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277 | zip( |
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278 | (ord(_) for _ in 'ZKGQÇÑßFWPTÁÀÂÃÅÄÆÉÈÊËIJÌÍÎÏÜݧÚÙÛÔÒÓÕØ'), |
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279 | 'CCCCCNSVVBDAAAAAEEEEEEYYYYYYYYUUUUOOOOÖ', |
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280 | ) |
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281 | ) |
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282 | |||
283 | 1 | word = unicode_normalize('NFC', text_type(word.upper())) |
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284 | 1 | for i, j in _phonem_substitutions: |
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285 | 1 | word = word.replace(i, j) |
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286 | 1 | word = word.translate(_phonem_translation) |
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287 | |||
288 | 1 | return ''.join( |
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289 | c |
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290 | for c in _delete_consecutive_repeats(word) |
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291 | if c |
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292 | in { |
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293 | 'A', |
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294 | 'B', |
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295 | 'C', |
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296 | 'D', |
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297 | 'L', |
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298 | 'M', |
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299 | 'N', |
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300 | 'O', |
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301 | 'R', |
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302 | 'S', |
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303 | 'U', |
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304 | 'V', |
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305 | 'W', |
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306 | 'X', |
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307 | 'Y', |
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308 | 'Ö', |
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309 | } |
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310 | ) |
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311 | |||
312 | |||
313 | 1 | def haase_phonetik(word, primary_only=False): |
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314 | """Return the Haase Phonetik (numeric output) code for a word. |
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315 | |||
316 | Based on the algorithm described at :cite:`Prante:2015`. |
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317 | |||
318 | Based on the original :cite:`Haase:2000`. |
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319 | |||
320 | While the output code is numeric, it is nevertheless a str. |
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321 | |||
322 | :param str word: the word to transform |
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323 | :param bool primary_only: if True, only the primary code is returned |
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324 | :returns: the Haase Phonetik value as a numeric string |
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325 | :rtype: tuple |
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326 | |||
327 | >>> haase_phonetik('Joachim') |
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328 | ('9496',) |
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329 | >>> haase_phonetik('Christoph') |
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330 | ('4798293', '8798293') |
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331 | >>> haase_phonetik('Jörg') |
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332 | ('974',) |
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333 | >>> haase_phonetik('Smith') |
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334 | ('8692',) |
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335 | >>> haase_phonetik('Schmidt') |
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336 | ('8692', '4692') |
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337 | """ |
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338 | |||
339 | 1 | def _after(word, i, letters): |
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340 | """Return True if word[i] follows one of the supplied letters.""" |
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341 | 1 | if i > 0 and word[i - 1] in letters: |
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342 | 1 | return True |
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343 | 1 | return False |
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344 | |||
345 | 1 | def _before(word, i, letters): |
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346 | """Return True if word[i] precedes one of the supplied letters.""" |
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347 | 1 | if i + 1 < len(word) and word[i + 1] in letters: |
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348 | 1 | return True |
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349 | 1 | return False |
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350 | |||
351 | 1 | _vowels = {'A', 'E', 'I', 'J', 'O', 'U', 'Y'} |
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352 | |||
353 | 1 | word = unicode_normalize('NFKD', text_type(word.upper())) |
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354 | 1 | word = word.replace('ß', 'SS') |
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355 | |||
356 | 1 | word = word.replace('Ä', 'AE') |
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357 | 1 | word = word.replace('Ö', 'OE') |
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358 | 1 | word = word.replace('Ü', 'UE') |
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359 | 1 | word = ''.join( |
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360 | c |
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361 | for c in word |
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362 | if c |
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363 | in { |
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364 | 'A', |
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365 | 'B', |
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366 | 'C', |
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367 | 'D', |
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368 | 'E', |
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369 | 'F', |
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370 | 'G', |
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371 | 'H', |
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372 | 'I', |
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373 | 'J', |
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374 | 'K', |
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375 | 'L', |
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376 | 'M', |
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377 | 'N', |
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378 | 'O', |
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379 | 'P', |
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380 | 'Q', |
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381 | 'R', |
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382 | 'S', |
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383 | 'T', |
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384 | 'U', |
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385 | 'V', |
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386 | 'W', |
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387 | 'X', |
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388 | 'Y', |
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389 | 'Z', |
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390 | } |
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391 | ) |
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392 | |||
393 | 1 | variants = [] |
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394 | 1 | if primary_only: |
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395 | 1 | variants = [word] |
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396 | else: |
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397 | 1 | pos = 0 |
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398 | 1 | if word[:2] == 'CH': |
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399 | 1 | variants.append(('CH', 'SCH')) |
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400 | 1 | pos += 2 |
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401 | 1 | len_3_vars = { |
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402 | 'OWN': 'AUN', |
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403 | 'WSK': 'RSK', |
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404 | 'SCH': 'CH', |
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405 | 'GLI': 'LI', |
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406 | 'AUX': 'O', |
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407 | 'EUX': 'O', |
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408 | } |
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409 | 1 | while pos < len(word): |
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410 | 1 | if word[pos : pos + 4] == 'ILLE': |
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411 | 1 | variants.append(('ILLE', 'I')) |
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412 | 1 | pos += 4 |
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413 | 1 | elif word[pos : pos + 3] in len_3_vars: |
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414 | 1 | variants.append( |
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415 | (word[pos : pos + 3], len_3_vars[word[pos : pos + 3]]) |
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416 | ) |
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417 | 1 | pos += 3 |
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418 | 1 | elif word[pos : pos + 2] == 'RB': |
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419 | 1 | variants.append(('RB', 'RW')) |
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420 | 1 | pos += 2 |
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421 | 1 | elif len(word[pos:]) == 3 and word[pos:] == 'EAU': |
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422 | 1 | variants.append(('EAU', 'O')) |
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423 | 1 | pos += 3 |
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424 | 1 | elif len(word[pos:]) == 1 and word[pos:] in {'A', 'O'}: |
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425 | 1 | if word[pos:] == 'O': |
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426 | 1 | variants.append(('O', 'OW')) |
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427 | else: |
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428 | 1 | variants.append(('A', 'AR')) |
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429 | 1 | pos += 1 |
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430 | else: |
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431 | 1 | variants.append((word[pos],)) |
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432 | 1 | pos += 1 |
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433 | |||
434 | 1 | variants = [''.join(letters) for letters in product(*variants)] |
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435 | |||
436 | 1 | def _haase_code(word): |
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437 | 1 | sdx = '' |
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438 | 1 | for i in range(len(word)): |
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439 | 1 | View Code Duplication | if word[i] in _vowels: |
440 | 1 | sdx += '9' |
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441 | 1 | elif word[i] == 'B': |
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442 | 1 | sdx += '1' |
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443 | 1 | elif word[i] == 'P': |
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444 | 1 | if _before(word, i, {'H'}): |
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445 | 1 | sdx += '3' |
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446 | else: |
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447 | 1 | sdx += '1' |
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448 | 1 | elif word[i] in {'D', 'T'}: |
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449 | 1 | if _before(word, i, {'C', 'S', 'Z'}): |
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450 | 1 | sdx += '8' |
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451 | else: |
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452 | 1 | sdx += '2' |
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453 | 1 | elif word[i] in {'F', 'V', 'W'}: |
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454 | 1 | sdx += '3' |
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455 | 1 | elif word[i] in {'G', 'K', 'Q'}: |
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456 | 1 | sdx += '4' |
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457 | 1 | elif word[i] == 'C': |
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458 | 1 | if _after(word, i, {'S', 'Z'}): |
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459 | 1 | sdx += '8' |
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460 | 1 | elif i == 0: |
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461 | 1 | if _before( |
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462 | word, i, {'A', 'H', 'K', 'L', 'O', 'Q', 'R', 'U', 'X'} |
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463 | ): |
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464 | 1 | sdx += '4' |
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465 | else: |
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466 | 1 | sdx += '8' |
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467 | 1 | elif _before(word, i, {'A', 'H', 'K', 'O', 'Q', 'U', 'X'}): |
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468 | 1 | sdx += '4' |
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469 | else: |
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470 | 1 | sdx += '8' |
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471 | 1 | elif word[i] == 'X': |
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472 | 1 | if _after(word, i, {'C', 'K', 'Q'}): |
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473 | 1 | sdx += '8' |
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474 | else: |
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475 | 1 | sdx += '48' |
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476 | 1 | elif word[i] == 'L': |
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477 | 1 | sdx += '5' |
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478 | 1 | elif word[i] in {'M', 'N'}: |
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479 | 1 | sdx += '6' |
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480 | 1 | elif word[i] == 'R': |
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481 | 1 | sdx += '7' |
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482 | 1 | elif word[i] in {'S', 'Z'}: |
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483 | 1 | sdx += '8' |
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484 | |||
485 | 1 | sdx = _delete_consecutive_repeats(sdx) |
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486 | |||
487 | 1 | return sdx |
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488 | |||
489 | 1 | encoded = tuple(_haase_code(word) for word in variants) |
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490 | 1 | if len(encoded) > 1: |
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491 | 1 | encoded_set = set() |
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492 | 1 | encoded_single = [] |
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493 | 1 | for code in encoded: |
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494 | 1 | if code not in encoded_set: |
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495 | 1 | encoded_set.add(code) |
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496 | 1 | encoded_single.append(code) |
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497 | 1 | return tuple(encoded_single) |
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498 | |||
499 | 1 | return encoded |
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500 | |||
501 | |||
502 | 1 | def reth_schek_phonetik(word): |
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503 | """Return Reth-Schek Phonetik code for a word. |
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504 | |||
505 | This algorithm is proposed in :cite:`Reth:1977`. |
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506 | |||
507 | Since I couldn't secure a copy of that document (maybe I'll look for it |
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508 | next time I'm in Germany), this implementation is based on what I could |
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509 | glean from the implementations published by German Record Linkage |
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510 | Center (www.record-linkage.de): |
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511 | |||
512 | - Privacy-preserving Record Linkage (PPRL) (in R) :cite:`Rukasz:2018` |
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513 | - Merge ToolBox (in Java) :cite:`Schnell:2004` |
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514 | |||
515 | Rules that are unclear: |
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516 | |||
517 | - Should 'C' become 'G' or 'Z'? (PPRL has both, 'Z' rule blocked) |
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518 | - Should 'CC' become 'G'? (PPRL has blocked 'CK' that may be typo) |
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519 | - Should 'TUI' -> 'ZUI' rule exist? (PPRL has rule, but I can't |
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520 | think of a German word with '-tui-' in it.) |
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521 | - Should we really change 'SCH' -> 'CH' and then 'CH' -> 'SCH'? |
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522 | |||
523 | :param str word: the word to transform |
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524 | :returns: the Reth-Schek Phonetik code |
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525 | :rtype: str |
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526 | |||
527 | >>> reth_schek_phonetik('Joachim') |
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528 | 'JOAGHIM' |
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529 | >>> reth_schek_phonetik('Christoph') |
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530 | 'GHRISDOF' |
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531 | >>> reth_schek_phonetik('Jörg') |
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532 | 'JOERG' |
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533 | >>> reth_schek_phonetik('Smith') |
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534 | 'SMID' |
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535 | >>> reth_schek_phonetik('Schmidt') |
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536 | 'SCHMID' |
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537 | """ |
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538 | 1 | replacements = { |
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539 | 3: { |
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540 | 'AEH': 'E', |
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541 | 'IEH': 'I', |
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542 | 'OEH': 'OE', |
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543 | 'UEH': 'UE', |
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544 | 'SCH': 'CH', |
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545 | 'ZIO': 'TIO', |
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546 | 'TIU': 'TIO', |
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547 | 'ZIU': 'TIO', |
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548 | 'CHS': 'X', |
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549 | 'CKS': 'X', |
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550 | 'AEU': 'OI', |
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551 | }, |
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552 | 2: { |
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553 | 'LL': 'L', |
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554 | 'AA': 'A', |
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555 | 'AH': 'A', |
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556 | 'BB': 'B', |
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557 | 'PP': 'B', |
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558 | 'BP': 'B', |
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559 | 'PB': 'B', |
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560 | 'DD': 'D', |
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561 | 'DT': 'D', |
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562 | 'TT': 'D', |
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563 | 'TH': 'D', |
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564 | 'EE': 'E', |
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565 | 'EH': 'E', |
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566 | 'AE': 'E', |
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567 | 'FF': 'F', |
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568 | 'PH': 'F', |
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569 | 'KK': 'K', |
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570 | 'GG': 'G', |
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571 | 'GK': 'G', |
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572 | 'KG': 'G', |
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573 | 'CK': 'G', |
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574 | 'CC': 'C', |
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575 | 'IE': 'I', |
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576 | 'IH': 'I', |
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577 | 'MM': 'M', |
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578 | 'NN': 'N', |
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579 | 'OO': 'O', |
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580 | 'OH': 'O', |
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581 | 'SZ': 'S', |
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582 | 'UH': 'U', |
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583 | 'GS': 'X', |
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584 | 'KS': 'X', |
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585 | 'TZ': 'Z', |
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586 | 'AY': 'AI', |
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587 | 'EI': 'AI', |
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588 | 'EY': 'AI', |
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589 | 'EU': 'OI', |
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590 | 'RR': 'R', |
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591 | 'SS': 'S', |
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592 | 'KW': 'QU', |
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593 | }, |
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594 | 1: { |
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595 | 'P': 'B', |
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596 | 'T': 'D', |
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597 | 'V': 'F', |
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598 | 'W': 'F', |
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599 | 'C': 'G', |
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600 | 'K': 'G', |
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601 | 'Y': 'I', |
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602 | }, |
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603 | } |
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604 | |||
605 | # Uppercase |
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606 | 1 | word = word.upper() |
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607 | |||
608 | # Replace umlauts/eszett |
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609 | 1 | word = word.replace('Ä', 'AE') |
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610 | 1 | word = word.replace('Ö', 'OE') |
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611 | 1 | word = word.replace('Ü', 'UE') |
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612 | 1 | word = word.replace('ß', 'SS') |
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613 | |||
614 | # Main loop, using above replacements table |
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615 | 1 | pos = 0 |
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616 | 1 | while pos < len(word): |
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617 | 1 | for num in range(3, 0, -1): |
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618 | 1 | if word[pos : pos + num] in replacements[num]: |
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619 | 1 | word = ( |
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620 | word[:pos] |
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621 | + replacements[num][word[pos : pos + num]] |
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622 | + word[pos + num :] |
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623 | ) |
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624 | 1 | pos += 1 |
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625 | 1 | break |
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626 | else: |
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627 | 1 | pos += 1 # Advance if nothing is recognized |
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628 | |||
629 | # Change 'CH' back(?) to 'SCH' |
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630 | 1 | word = word.replace('CH', 'SCH') |
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631 | |||
632 | # Replace final sequences |
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633 | 1 | if word[-2:] == 'ER': |
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634 | 1 | word = word[:-2] + 'R' |
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635 | 1 | elif word[-2:] == 'EL': |
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636 | 1 | word = word[:-2] + 'L' |
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637 | 1 | elif word[-1:] == 'H': |
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638 | 1 | word = word[:-1] |
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639 | |||
640 | 1 | return word |
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641 | |||
642 | |||
643 | if __name__ == '__main__': |
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644 | import doctest |
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645 | |||
646 | doctest.testmod() |
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647 |