The Monge-Elkan similarity of "Comput. Sci. and Eng. Dept., University of California, San Diego" and "Department of Computer Science, Univ. Calif., San Diego" is wrong in the example. The correct value is 0.8364448130130768.
Python 3.7.7 (default, Mar 10 2020, 15:43:33)
[Clang 11.0.0 (clang-1100.0.33.17)] on darwin
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>>> import py_stringmatching as sm
>>> me = sm.MongeElkan()
>>> me.get_raw_score(['Comput.', 'Sci.', 'and', 'Eng.', 'Dept.,', 'University', 'of', 'California,', 'San', 'Diego'], ['Department', 'of', 'Computer', 'Science,', 'Univ.', 'Calif.,', 'San', 'Diego'])
0.8364448130130768
Coverage remained the same at 99.903% when pulling 23e1cd0495dbeacd71e759978b2e6f08f5c01b16 on wynksaiddestroy:fix-monge-elkan-example into 45c3a09c27e44691f0e850fe060640fa2adc3ce7 on anhaidgroup:master.
The Monge-Elkan similarity of "Comput. Sci. and Eng. Dept., University of California, San Diego" and "Department of Computer Science, Univ. Calif., San Diego" is wrong in the example. The correct value is 0.8364448130130768.