My answer:

          8588 function calls in 0.015 CPU seconds

       Ordered by: standard name

       ncalls  tottime  percall  cumtime  percall filename:lineno(function)
            1    0.000    0.000    0.015    0.015 <string>:1(<module>)
            1    0.000    0.000    0.000    0.000 __future__.py:48(<module>)
            1    0.000    0.000    0.000    0.000 __future__.py:74(_Feature)
            7    0.000    0.000    0.000    0.000 __future__.py:75(__init__)
           49    0.004    0.000    0.010    0.000 portmanteau.py:103(natalie)
           17    0.000    0.000    0.000    0.000 portmanteau.py:124(eq_)
            1    0.000    0.000    0.003    0.003 portmanteau.py:132(test_natalie1)
            1    0.000    0.000    0.007    0.007 portmanteau.py:195(test_natalie2)
            1    0.001    0.001    0.011    0.011 portmanteau.py:2(<module>)
          269    0.001    0.000    0.001    0.000 portmanteau.py:66(make_port)
          270    0.003    0.000    0.004    0.000 portmanteau.py:76(break_up_word)
          269    0.000    0.000    0.001    0.000 portmanteau.py:89(calculate_score)
          269    0.000    0.000    0.000    0.000 portmanteau.py:97(sort_ports)
          807    0.000    0.000    0.000    0.000 {abs}
            1    0.003    0.003    0.015    0.015 {execfile}
         1346    0.000    0.000    0.000    0.000 {len}
         3878    0.001    0.000    0.001    0.000 {method 'add' of 'set' objects}
            1    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}
         1080    0.000    0.000    0.000    0.000 {method 'discard' of 'set' objects}
          270    0.000    0.000    0.000    0.000 {range}
           49    0.000    0.000    0.001    0.000 {sorted}


"Official answer"


            4882 function calls in 0.016 CPU seconds

       Ordered by: standard name

       ncalls  tottime  percall  cumtime  percall filename:lineno(function)
            1    0.000    0.000    0.016    0.016 <string>:1(<module>)
            1    0.004    0.004    0.004    0.004 collections.py:1(<module>)
            1    0.000    0.000    0.000    0.000 keyword.py:11(<module>)
           49    0.002    0.000    0.007    0.000 portmanteau_official_answer.py:11(alltriples)
            1    0.000    0.000    0.005    0.005 portmanteau_official_answer.py:114(test_natalie2)
            1    0.001    0.001    0.013    0.013 portmanteau_official_answer.py:2(<module>)
          540    0.002    0.000    0.003    0.000 portmanteau_official_answer.py:26(splits)
           49    0.002    0.000    0.004    0.000 portmanteau_official_answer.py:30(compute_ends)
          269    0.001    0.000    0.001    0.000 portmanteau_official_answer.py:38(portman_score)
           49    0.001    0.000    0.009    0.000 portmanteau_official_answer.py:4(natalie)
           17    0.000    0.000    0.000    0.000 portmanteau_official_answer.py:43(eq_)
            1    0.000    0.000    0.004    0.004 portmanteau_official_answer.py:51(test_natalie1)
          807    0.000    0.000    0.000    0.000 {abs}
            1    0.003    0.003    0.016    0.016 {execfile}
          540    0.000    0.000    0.000    0.000 {len}
          269    0.000    0.000    0.000    0.000 {map}
           37    0.000    0.000    0.001    0.000 {max}
         1671    0.000    0.000    0.000    0.000 {method 'append' of 'list' objects}
            1    0.000    0.000    0.000    0.000 {method 'disable' of '_lsprof.Profiler' objects}
           37    0.000    0.000    0.000    0.000 {method 'join' of 'str' objects}
          540    0.001    0.000    0.001    0.000 {range}