СНЗ Лаб.4 Табела на слични корисници

import math
oceniPoKorisnici={
    'Lisa Rose': {'Catch Me If You Can': 3.0 , 'Snakes on a Plane': 3.5, 'Superman Returns': 3.5, 'You, Me and Dupree': 2.5, 'The Night Listener': 3.0, 'Snitch': 3.0},
    'Gene Seymour': {'Lady in the Water': 3.0, 'Snakes on a Plane': 3.5, 'Just My Luck': 1.5,  'The Night Listener': 3.0,'You, Me and Dupree': 3.5},
    'Michael Phillips': {'Catch Me If You Can': 2.5, 'Lady in the Water': 2.5,'Superman Returns': 3.5, 'The Night Listener': 4.0, 'Snitch': 2.0},
    'Claudia Puig': {'Snakes on a Plane': 3.5, 'Just My Luck': 3.0,'The Night Listener': 4.5, 'Superman Returns': 4.0,'You, Me and Dupree': 2.5},
    'Mick LaSalle': {'Lady in the Water': 3.0, 'Snakes on a Plane': 4.0,'Just My Luck': 2.0, 'Superman Returns': 3.0, 'You, Me and Dupree': 2.0},
    'Jack Matthews': {'Catch Me If You Can': 4.5, 'Lady in the Water': 3.0, 'Snakes on a Plane': 4.0,'The Night Listener': 3.0, 'Superman Returns': 5.0, 'You, Me and Dupree': 3.5, 'Snitch': 4.5},
    'Toby': {'Snakes on a Plane':4.5, 'Snitch': 5.0},
    'Michelle Nichols': {'Just My Luck' : 1.0, 'The Night Listener': 4.5, 'You, Me and Dupree': 3.5, 'Catch Me If You Can': 2.5, 'Snakes on a Plane': 3.0},
    'Gary Coleman': {'Lady in the Water': 1.0, 'Catch Me If You Can': 1.5, 'Superman Returns': 1.5, 'You, Me and Dupree': 2.0},
    'Larry': {'Lady in the Water': 3.0, 'Just My Luck': 3.5, 'Snitch': 1.5, 'The Night Listener': 3.5}
    }
def sim_distance(prefs,person1,person2):
    si={}
    for item in prefs[person1]:
        if item in prefs[person2]:
            si[item]=1
    if len(si)==0: return 0
    sum_of_squares=sum([pow(prefs[person1][item]-prefs[person2][item],2)
    for item in prefs[person1] if item in prefs[person2]])
    return round(1/(1+math.sqrt(sum_of_squares)),3)
def sim_pearson(oceni,person1,person2):
    si={}
    for item in oceni[person1]:
        if item in oceni[person2]:
            si[item] = 1
    n = len(si)
    if n==0:
        return 0
    sum1=sum([oceni[person1][it] for it in si])
    sum2=sum([oceni[person2][it] for it in si])
    sum1Sq=sum([pow(oceni[person1][it],2) for it in si])
    sum2Sq=sum([pow(oceni[person2][it],2) for it in si])
    pSum=sum([oceni[person1][it]*oceni[person2][it] for it in si])
    num=pSum-(sum1*sum2/n)
    den=math.sqrt((sum1Sq-pow(sum1,2)/n)*(sum2Sq-pow(sum2,2)/n))
    if den==0: return 0
    r=num/den
    return round(r,3)
def sim (oceni,person1, person2):
    numb=0
    for item in oceni[person1]:
        if item in oceni[person2]:
           numb+=1
    return numb
def TabelaNaSlicniKorisnici(oceni):
    slicnosti={}
    for p1 in oceni:
        for p2 in oceni:
            slicnosti.setdefault(p1,{})
            slicnosti[p1][p2] = (sim_distance(oceni,p1,p2),sim_pearson(oceni,p1,p2),sim(oceni,p1,p2))
    return slicnosti
if __name__ == "__main__":
    korisnik1=input()
    korisnik2=input()
    # korisnik1='Mick LaSalle'
    # korisnik2='Lisa Rose'
    # print oceniPoKorisnici
    tabela=TabelaNaSlicniKorisnici(oceniPoKorisnici)
    # print tabela
    print tabela[korisnik1][korisnik2]