Printing N-best feature info at top level

If you're in dialogue mode, and have N-best preferences defined, you now get them printed out at top level. This is useful for debugging feature definitions. Here's an example from the Calendar application:

>> what was the last meeting

      Old state: [lf=[[whq,form(past,[[be,term(the_last,meeting,[]),[loc,where]]])]], 
                  referents=[record(meeting,meeting_10),attribute(meeting,meeting_10,where)]]
             LF: [[whq,form(past,[[be,term(the_last,meeting,[]),term(what,null,[])]])]]
    Resolved LF: [[whq,form(past,[[be,term(the_last,meeting,[]),term(what,null,[])]])]]
     Resolution: [trivial]
  Dialogue move: [tense_information=referent(past), utterance_type=whq, 
                  aggregate(last_n_meetings(1),[])]
  Resolved move: [tense_information=interval(datime(1980,0,0,0,0,0),datime(2008,5,28,18,27,24)),
                  utterance_type=whq, aggregate(last_n_meetings(1),[])]
     Paraphrase: list meetings in past the last meeting
Abstract action: say(referent_list([record(meeting,meeting_10)]))
Concrete action: tts(meeting at pierrette 's room on november 25)
      New state: [lf=[[whq,form(past,[[be,term(the_last,meeting,[]),term(what,null,[])]])]], 
                  referents=[attribute(meeting,meeting_10,where),record(meeting,meeting_10)]]

N-BEST FEATURES AND SCORES:

rank                                    -1.00 * 0.00 = 0.00
no_dialogue_move                        -50.00 * 0.00 = 0.00
underconstrained_query                  -10.00 * 0.00 = 0.00
inconsistent_tense                      -10.00 * 0.00 = 0.00
non_indefinite_existential              -10.00 * 0.00 = 0.00
non_show_imperative                     -50.00 * 0.00 = 0.00
definite_meeting_and_meeting_referent   3.00 * 0.00 = 0.00

Total score: 0.00

Dialogue processing time: 0.00 seconds

>> when did that meeting start

      Old state: [lf=[[whq,form(past,[[be,term(the_last,meeting,[]),term(what,null,[])]])]], 
                  referents=[attribute(meeting,meeting_10,where),record(meeting,meeting_10)]]
             LF: [[whq,form(past,[[start,term(that,meeting,[])],[time,when]])]]
    Resolved LF: [[whq,form(past,[[start,term(that,meeting,[])],[time,when]])]]
     Resolution: [trivial]
  Dialogue move: [query_object=start_time, referent_from_context=meeting, 
                  tense_information=referent(past), utterance_type=whq]
  Resolved move: [meeting=meeting_10, query_object=start_time, referent_from_context=meeting, 
                  tense_information=interval(datime(1980,0,0,0,0,0),datime(2008,5,28,18,27,35)),
                  utterance_type=whq]
     Paraphrase: start time for that meeting in past
Abstract action: say(referent_list([attribute(meeting,meeting_10,start_time)]))
Concrete action: tts(10 00 on november 25)
      New state: [lf=[[whq,form(past,[[start,term(that,meeting,[])],[time,when]])]], 
                  (referents
                   = 
                   [attribute(meeting,meeting_10,where), record(meeting,meeting_10), 
                    attribute(meeting,meeting_10,start_time)])]

N-BEST FEATURES AND SCORES:

rank                                    -1.00 * 0.00 = 0.00
no_dialogue_move                        -50.00 * 0.00 = 0.00
underconstrained_query                  -10.00 * 0.00 = 0.00
inconsistent_tense                      -10.00 * 0.00 = 0.00
non_indefinite_existential              -10.00 * 0.00 = 0.00
non_show_imperative                     -50.00 * 0.00 = 0.00
definite_meeting_and_meeting_referent   3.00 * 1.00 = 3.00

Total score: 3.00

Dialogue processing time: 0.01 seconds