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- 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])
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