在已有字典中给整型值添加内容

Question

我正在尝试设置一个函数，用来计算两部电影之间的相似度分数。现在有一些现成的字典，这些字典的键是电影名，值则是导演、类型或主要演员。关于演员的字典有三个（每部电影列出了三位主要演员）。代码大部分运行得很好，但有时候我得到的分数比应该得到的要高。

# create a two-variable function to deterime the FavActor Similarity score: 
def FavActorFunction(film1,film2):

    #set the result of the FavActor formula between two films to a default of 0.
    FavActorScore = 0
    #add 3 to the similarity score if the films have the same director.
    if direct[film1] == direct[film2]:
        FavActorScore += 3
    #add 2 to the similarity score if the films are in the same genre.
    if genre[film1] == genre[film2]:
        FavActorScore += 2
    #add 5 to the similarity score for each actor they have in common.
    if actor1[film1] == actor1[film2] or actor2[film2] or actor3[film2]:
        FavActorScore += 5
    if actor2[film1] == actor1[film2] or actor2[film2] or actor3[film2]:
        FavActorScore += 5     
    if actor3[film1] == actor1[film2] or actor2[film2] or actor3[film2]:
        FavActorScore += 5
    #print the resulting score.                    
    return FavActorScore

我猜测在计算共同演员时，可能有些东西被计算了两次。有没有办法修改这部分代码，让结果更准确呢？

if actor1[film1] == actor1[film2] or actor2[film2] or actor3[film2]:   
    FavActorScore += 5
if actor2[film1] == actor1[film2] or actor2[film2] or actor3[film2]:  
    FavActorScore += 5     
if actor3[film1] == actor1[film2] or actor2[film2] or actor3[film2]:  
    FavActorScore += 5     

Answer 1

试试用 in 条件：

if actor1[film1] in (actor1[film2], actor2[film2], actor3[film2]):
   FavActorScore += 5 
if actor2[film1] in ( actor1[film2], actor2[film2], actor3[film2]):
   FavActorScore += 5
if actor3[film1] in (actor1[film2], actor2[film2], actor3[film2]):
   FavActorScore += 5

当你写 a==b or c or d 时，这个表达式会在以下情况为真：如果 a 等于 b，或者 c 为真，或者 d 为真。并不是说 a 等于 b、c 或 d。