'mean',
'median',
'medianscore',
- 'mode',
+ #'mode',
'moment',
'variation',
'skew',
'kurtosis',
- 'itemfreq',
- 'histogram',
- 'cumfreq',
- 'relfreq',
+ #'itemfreq',
+ #'histogram',
+ #'cumfreq',
+ #'relfreq',
)
def statsresults(m) :
POSSIBLE_ANALYSES = {'BEGINNER' : ('songDuration',
'playingDuration',
'noteEndNoteOnLatency',
- 'noteOnCount')}
+ 'realisationRate')
+ ,'EASY' : ('songDuration',
+ 'playingDuration',
+ 'noteEndNoteOnLatency',
+ 'realisationRate',
+ 'missCount')
+ ,'NORMAL' : ('songDuration',
+ 'playingDuration',
+ 'realisationRate',
+ 'missCount')
+ ,'ADVANCED' : ('songDuration',
+ 'playingDuration',
+ 'realisationRate',
+ 'missCount')
+ ,'EXPERT' : ('songDuration',
+ 'playingDuration',
+ 'realisationRate',
+ 'missCount')
+ }
def analyse(self) :
- mode = self.getMode()
+ self.mode = mode = self.getMode()
print 'Mode :', mode
results = {}
cpt = cpt + 1
return cpt
-
+
+ def realisationRate(self) :
+ """ taux de réalisation en nombre de note
+ peut être supérieur à 100 % car la chanson
+ boucle à l'infini.
+ """
+ songFile = self.getSongFile()
+ song = musicXml2Song(songFile)
+ songNoteCpt = 0
+ for note, verseIndex in song.iterNotes() :
+ songNoteCpt = songNoteCpt + 1
+ return int(round(self.noteOnCount() / float(songNoteCpt) * 100, 0))
+ def missCount(self) :
+ eIter = self.getEventsIterator()
+ miss = 0
+ if self.mode in ('EASY', 'NORMAL') :
+ catchColUp = False
+ for ticks, eventName, message in eIter :
+ if eventName == 'COLDOWN' :
+ colState = message.split(None, 2)[1]
+ colState = colState == 'True'
+ if colState :
+ catchColUp = False
+ continue
+ else :
+ catchColUp = True
+ elif eventName == 'NOTEON' :
+ catchColUp = False
+ elif eventName == 'COLUP' and catchColUp :
+ miss = miss + 1
+ else :
+ for ticks, eventName, message in eIter :
+ if eventName == 'COLDOWN' :
+ colState = message.split(None, 2)[1]
+ colState = colState == 'True'
+ if not colState :
+ miss = miss + 1
+
+ return miss
+