df.merge with identically-named `on` columns produces duplicate output columns

Failed example:
    df1.merge(df2, how='inner', on='a')
Expected:
    0   foo  1  3
          a  b  c
Got:
    0  foo  1  foo  3
       a_x  b  a_y  c