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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.distance.editex. |
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The distance.editex module implements editex functions. |
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""" |
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from __future__ import division, unicode_literals |
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from unicodedata import normalize as unicode_normalize |
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from numpy import int as np_int |
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from numpy import zeros as np_zeros |
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from six import text_type |
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from six.moves import range |
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__all__ = ['dist_editex', 'editex', 'sim_editex'] |
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def editex(src, tar, cost=(0, 1, 2), local=False): |
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"""Return the Editex distance between two strings. |
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As described on pages 3 & 4 of :cite:`Zobel:1996`. |
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The local variant is based on :cite:`Ring:2009`. |
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:param str src: source string for comparison |
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:param str tar: target string for comparison |
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:param tuple cost: a 3-tuple representing the cost of the four possible |
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edits: |
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match, same-group, and mismatch respectively (by default: (0, 1, 2)) |
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:param bool local: if True, the local variant of Editex is used |
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:returns: Editex distance |
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:rtype: int |
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>>> editex('cat', 'hat') |
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2 |
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>>> editex('Niall', 'Neil') |
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2 |
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>>> editex('aluminum', 'Catalan') |
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12 |
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>>> editex('ATCG', 'TAGC') |
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6 |
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""" |
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match_cost, group_cost, mismatch_cost = cost |
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letter_groups = ( |
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{'A', 'E', 'I', 'O', 'U', 'Y'}, |
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{'B', 'P'}, |
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{'C', 'K', 'Q'}, |
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{'D', 'T'}, |
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{'L', 'R'}, |
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{'M', 'N'}, |
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{'G', 'J'}, |
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{'F', 'P', 'V'}, |
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{'S', 'X', 'Z'}, |
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{'C', 'S', 'Z'}, |
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) |
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all_letters = { |
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'A', |
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'B', |
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'C', |
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'D', |
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'E', |
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'F', |
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'G', |
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'I', |
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'J', |
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'K', |
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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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'Q', |
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'R', |
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'S', |
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'T', |
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'U', |
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'V', |
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'X', |
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'Y', |
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'Z', |
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} |
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def r_cost(ch1, ch2): |
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"""Return r(a,b) according to Zobel & Dart's definition.""" |
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if ch1 == ch2: |
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return match_cost |
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if ch1 in all_letters and ch2 in all_letters: |
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for group in letter_groups: |
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if ch1 in group and ch2 in group: |
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return group_cost |
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return mismatch_cost |
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def d_cost(ch1, ch2): |
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"""Return d(a,b) according to Zobel & Dart's definition.""" |
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if ch1 != ch2 and (ch1 == 'H' or ch1 == 'W'): |
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return group_cost |
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return r_cost(ch1, ch2) |
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# convert both src & tar to NFKD normalized unicode |
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src = unicode_normalize('NFKD', text_type(src.upper())) |
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tar = unicode_normalize('NFKD', text_type(tar.upper())) |
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# convert ß to SS (for Python2) |
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src = src.replace('ß', 'SS') |
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tar = tar.replace('ß', 'SS') |
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if src == tar: |
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return 0 |
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if not src: |
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return len(tar) * mismatch_cost |
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if not tar: |
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return len(src) * mismatch_cost |
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d_mat = np_zeros((len(src) + 1, len(tar) + 1), dtype=np_int) |
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lens = len(src) |
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lent = len(tar) |
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src = ' ' + src |
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tar = ' ' + tar |
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if not local: |
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for i in range(1, lens + 1): |
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d_mat[i, 0] = d_mat[i - 1, 0] + d_cost(src[i - 1], src[i]) |
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for j in range(1, lent + 1): |
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d_mat[0, j] = d_mat[0, j - 1] + d_cost(tar[j - 1], tar[j]) |
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for i in range(1, lens + 1): |
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for j in range(1, lent + 1): |
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d_mat[i, j] = min( |
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d_mat[i - 1, j] + d_cost(src[i - 1], src[i]), |
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d_mat[i, j - 1] + d_cost(tar[j - 1], tar[j]), |
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d_mat[i - 1, j - 1] + r_cost(src[i], tar[j]), |
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) |
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return d_mat[lens, lent] |
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def dist_editex(src, tar, cost=(0, 1, 2), local=False): |
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"""Return the normalized Editex distance between two strings. |
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The Editex distance is normalized by dividing the Editex distance |
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(calculated by any of the three supported methods) by the greater of |
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the number of characters in src times the cost of a delete and |
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the number of characters in tar times the cost of an insert. |
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For the case in which all operations have :math:`cost = 1`, this is |
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equivalent to the greater of the length of the two strings src & tar. |
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:param str src: source string for comparison |
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:param str tar: target string for comparison |
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:param tuple cost: a 3-tuple representing the cost of the four possible |
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edits: |
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match, same-group, and mismatch respectively (by default: (0, 1, 2)) |
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:param bool local: if True, the local variant of Editex is used |
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:returns: normalized Editex distance |
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:rtype: float |
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>>> round(dist_editex('cat', 'hat'), 12) |
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0.333333333333 |
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>>> round(dist_editex('Niall', 'Neil'), 12) |
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0.2 |
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>>> dist_editex('aluminum', 'Catalan') |
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0.75 |
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>>> dist_editex('ATCG', 'TAGC') |
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0.75 |
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""" |
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if src == tar: |
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return 0 |
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mismatch_cost = cost[2] |
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return editex(src, tar, cost, local) / ( |
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max(len(src) * mismatch_cost, len(tar) * mismatch_cost) |
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) |
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def sim_editex(src, tar, cost=(0, 1, 2), local=False): |
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"""Return the normalized Editex similarity of two strings. |
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The Editex similarity is the complement of Editex distance: |
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:math:`sim_{Editex} = 1 - dist_{Editex}`. |
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:param str src: source string for comparison |
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:param str tar: target string for comparison |
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:param tuple cost: a 3-tuple representing the cost of the four possible |
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edits: |
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match, same-group, and mismatch respectively (by default: (0, 1, 2)) |
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:param bool local: if True, the local variant of Editex is used |
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:returns: normalized Editex similarity |
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:rtype: float |
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>>> round(sim_editex('cat', 'hat'), 12) |
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0.666666666667 |
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>>> round(sim_editex('Niall', 'Neil'), 12) |
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0.8 |
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>>> sim_editex('aluminum', 'Catalan') |
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0.25 |
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>>> sim_editex('ATCG', 'TAGC') |
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0.25 |
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""" |
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return 1 - dist_editex(src, tar, cost, local) |
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if __name__ == '__main__': |
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import doctest |
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doctest.testmod() |
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