Example #1
0
def printBasicNoteStats(user):
    notes = Note.objects.filter(owner=user)
    print "# Notes:", notes.count()
    noteLen = map(lambda x:len(x.contents), notes)
    noteLines = map(lambda x:len(x.contents.split('\n')), notes)
    print "Ave #Chars:", mean(noteLen), ", Ave Var:", variance(noteLen) 
    print "Ave #Lines:", mean(noteLines), ", Ave Var:", variance(noteLines)
Example #2
0
def printBasicNoteStats(user):
    notes = Note.objects.filter(owner=user)
    print "# Notes:", notes.count()
    noteLen = map(lambda x: len(x.contents), notes)
    noteLines = map(lambda x: len(x.contents.split('\n')), notes)
    print "Ave #Chars:", mean(noteLen), ", Ave Var:", variance(noteLen)
    print "Ave #Lines:", mean(noteLines), ", Ave Var:", variance(noteLines)
Example #3
0
def analyzeUserWalk(user):
    totalDays, activeDays, aliveAndDeadTotal, aliveAndDeadGained = userWalk(user)
    aliveGained = map(lambda x:x[0],aliveAndDeadGained)
    nAddVel = sum(aliveGained)*1.0/activeDays
    nAddVar = variance(aliveGained)
    print "Add v:", nAddVel, ", var:", nAddVar
    deadGained = map(lambda x:x[1],aliveAndDeadGained)
    nDelVel = sum(deadGained)*1.0/activeDays
    nDelVar = variance(deadGained)*1.0
    print "Del v:", nDelVel, ", var:", nDelVar
    printBasicNoteStats(user)
    return nAddVel, nAddVar, nDelVel, nDelVar
Example #4
0
def analyzeUserWalk(user):
    totalDays, activeDays, aliveAndDeadTotal, aliveAndDeadGained = userWalk(
        user)
    aliveGained = map(lambda x: x[0], aliveAndDeadGained)
    nAddVel = sum(aliveGained) * 1.0 / activeDays
    nAddVar = variance(aliveGained)
    print "Add v:", nAddVel, ", var:", nAddVar
    deadGained = map(lambda x: x[1], aliveAndDeadGained)
    nDelVel = sum(deadGained) * 1.0 / activeDays
    nDelVar = variance(deadGained) * 1.0
    print "Del v:", nDelVel, ", var:", nDelVar
    printBasicNoteStats(user)
    return nAddVel, nAddVar, nDelVel, nDelVar
Example #5
0
def user_var_change(userid):
    global _walk_cache
    if userid not in _walk_cache:
        _walk_cache[userid] = userWalk(User.objects.filter(id=userid)[0])
    totDays,activeDays,adeadtotal,adeadgained = _walk_cache[userid]
    delta = [(new - dead) for new,dead in adeadgained]
    return ca.make_feature('var_change', variance(delta))
Example #6
0
def creations(users):
    print "bar"
    cusave = [wuw.reduceRepeatLogsValues(list(cu.activitylog_set.filter(action__in=['notecapture-focus','note-add']).values())) for cu in users]
    means = []
    varss = []
    userstimes = []
    for u_i in xrange(len(cusave)):
        print u_i
        user = users[u_i]
        print user                
        uals = cusave[u_i]
        uals.sort(key=lambda x: long(x["when"]))
        if len(uals) == 0: continue
        print len(uals)
        thisal = uals[0]
        usertimes = []
        for al in uals[1:]:
            if thisal["action"] == 'notecapture-focus' and al["action"] == 'note-add':
                elapsed = long(al["when"]) - long(thisal["when"])
                usertimes.append(long(al["when"]) - long(thisal["when"]))
            thisal = al
        userstimes.append(usertimes)
        try:
            means.append(mean(usertimes))
            varss.append(variance(usertimes))
        except:
            import sys
            print sys.exc_info()
    return reduce(lambda x,y:x+y, userstimes),userstimes,means,varss
Example #7
0
def user_var_change(userid):
    global _walk_cache
    if userid not in _walk_cache:
        _walk_cache[userid] = userWalk(User.objects.filter(id=userid)[0])
    totDays, activeDays, adeadtotal, adeadgained = _walk_cache[userid]
    delta = [(new - dead) for new, dead in adeadgained]
    return ca.make_feature('var_change', variance(delta))
Example #8
0
def user_var_day_del(userid):
    global _walk_cache
    if userid not in _walk_cache:
        _walk_cache[userid] = userWalk(User.objects.filter(id=userid)[0])
    totDays, activeDays, adeadtotal, adeadgained = _walk_cache[userid]
    return ca.make_feature('var_del_notes_per_day',
                           variance([dead for alive, dead in adeadgained]))
Example #9
0
def user_var_alive_percent(userid):
    global _walk_cache
    if userid not in _walk_cache:
        _walk_cache[userid] = userWalk(User.objects.filter(id=userid)[0])
    totDays, activeDays, adeadtotal, adeadgained = _walk_cache[userid]
    return ca.make_feature(
        'variance_alive_notes',
        variance([(alive / (1.0 * (alive + dead + 0.00001)))
                  for alive, dead in adeadtotal]))
Example #10
0
def creations(users):
    print "bar"
    cusave = [
        wuw.reduceRepeatLogsValues(
            list(
                cu.activitylog_set.filter(
                    action__in=['notecapture-focus', 'note-add']).values()))
        for cu in users
    ]
    means = []
    varss = []
    userstimes = []
    for u_i in xrange(len(cusave)):
        print u_i
        user = users[u_i]
        print user
        uals = cusave[u_i]
        uals.sort(key=lambda x: long(x["when"]))
        if len(uals) == 0: continue
        print len(uals)
        thisal = uals[0]
        usertimes = []
        for al in uals[1:]:
            if thisal["action"] == 'notecapture-focus' and al[
                    "action"] == 'note-add':
                elapsed = long(al["when"]) - long(thisal["when"])
                usertimes.append(long(al["when"]) - long(thisal["when"]))
            thisal = al
        userstimes.append(usertimes)
        try:
            means.append(mean(usertimes))
            varss.append(variance(usertimes))
        except:
            import sys
            print sys.exc_info()
    return reduce(lambda x, y: x + y, userstimes), userstimes, means, varss
Example #11
0
def user_var_day_del(userid):
    global _walk_cache
    if userid not in _walk_cache:
        _walk_cache[userid] = userWalk(User.objects.filter(id=userid)[0])
    totDays,activeDays,adeadtotal,adeadgained = _walk_cache[userid]
    return ca.make_feature('var_del_notes_per_day',variance([dead for alive,dead in adeadgained ] ))
Example #12
0
def user_var_alive_percent(userid):
    global _walk_cache
    if userid not in _walk_cache:
        _walk_cache[userid] = userWalk(User.objects.filter(id=userid)[0])
    totDays,activeDays,adeadtotal,adeadgained = _walk_cache[userid]
    return ca.make_feature('variance_alive_notes',variance( [(alive/(1.0*(alive+dead+0.00001))) for alive,dead in adeadtotal ] ))