Begin by importing the ssdeep library and creating three strings:
import ssdeep
str1 = "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua." str2 = "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore Magna aliqua." str3 = "Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore aliqua." str4 = "Something completely different from the other strings."
As a reference,
hash1 is u'3:f4oo8MRwRJFGW1gC6uWv6MQ2MFSl+JuBF8BSnJi:f4kPvtHMCMubyFtQ',
hash2 is u'3:f4oo8MRwRJFGW1gC6uWv6MQ2MFSl+JuBF8BS+EFECJi:f4kPvtHMCMubyFIsJQ',
hash3 is u'3:f4oo8MRwRJFGW1gC6uWv6MQ2MFSl+JuBF8BS6:f4kPvtHMCMubyF0', and
hash4 is u'3:60QKZ+4CDTfDaRFKYLVL:ywKDC2mVL'.
Next, we see what kind of similarity scores the strings have: