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}
}


from math import sqrt
def sim_distance(oceni,person1,person2):
    #lista na zaednicki predmeti
    si={}
    for item in oceni[person1]:
        if item in oceni[person2]:
            si[item]=1

    #ako nemaat zaednicki predmeti
    if(len(si)==0): return 0
    sum_of_squares = sum([pow(oceni[person1][item] - oceni[person2][item], 2)
        for item in oceni[person1] if item in oceni[person2]])
    return round(1 / (1 + sqrt(sum_of_squares)),3)

def sim_pearson(oceni,p1,p2):
    # Se kreira recnik vo koj ke se cuvaat predmetite (filmovi) koi se oceneti od dvajcata
    # Vo recnikot ni se vazni samo klucevite za da gi cuvame iminjata na filmovite koi se zaednicki, a vrednostite ne ni se vazni
    zaednicki = {}
    for item in oceni[p1]:
        if item in oceni[p2]: zaednicki[item] = 1

    # Se presmetuva brojot na predmeti oceneti od dvajcata
    n = len(zaednicki)

    # Ako nemaat zaednicki predmeti vrati korelacija 0
    if n == 0: return 0

    # Soberi gi zaednickite oceni (rejtinzi) za  sekoja licnost posebno
    sum1 = sum([oceni[p1][it] for it in zaednicki])
    sum2 = sum([oceni[p2][it] for it in zaednicki])

    # Soberi gi kvadratite od zaednickite oceni (rejtinzi) za  sekoja licnost posebno
    sum1Sq = sum([pow(oceni[p1][it], 2) for it in zaednicki])
    sum2Sq = sum([pow(oceni[p2][it], 2) for it in zaednicki])

    # Soberi gi proizvodite od ocenite na dvete licnosti
    pSum = sum([oceni[p1][it] * oceni[p2][it] for it in zaednicki])

    # Presmetaj go koeficientot na korelacija
    num = pSum - (sum1 * sum2 / n)
    den = sqrt((sum1Sq - pow(sum1, 2) / n) * (sum2Sq - pow(sum2, 2) / n))
    if den == 0: return 0
    r = num / den
    return round(r,3)
def zaednickiOcenki(oceni,person1,person2):
    broj=0
    for item in oceni[person1]:
        if item in oceni[person2]:
            broj+=1
    return broj


def TabelaNaSlicniKorisnici(oceni):
    slicnosti = {}
    for person1 in oceni:
        for person2 in oceni:
            slicnosti.setdefault(person1,{})
            slicnosti[person1][person2]=(sim_distance(oceni,person1,person2),sim_pearson(oceni,person1,person2),zaednickiOcenki(oceni,person1,person2))


    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])