[英]Haskell Lists - Count fst of tuples and compare with length of list
I have the following list: 我有以下清单:
[(Libri,50.0),(Proxis,20.0),(Proxis,45.0),(Amazon,45.0)]
And I have a certain List called articles
. 而且我有一个称为“
articles
列表。 I want to transform the list above, with tuples so that if I have (length articles) times the first element of a tuple showing up in the list, get only that! 我想用元组转换上面的列表,这样,如果我使(元篇文章)乘以元组的第一个元素出现在列表中,就只能得到它!
So, for example, if I have a list articles=["HP","Haskell"]
, the list should show: 因此,例如,如果我有一个列表
articles=["HP","Haskell"]
,则该列表应显示:
[(Proxis,20.0),(Proxis,45.0)]
Because Proxis
shows up two times! 因为
Proxis
出现了两次!
Edit: 编辑:
Data Types: 资料类型:
data Magasin = Proxis | Amazon | Libri deriving (Eq, Show)
type Article = String
type Prix = Float
data Entree = E Magasin Article Prix deriving (Eq, Show)
type Stock = [Entree]
This is my current code: 这是我当前的代码:
disponible::[Article]->Stock->[(Magasin,Float)]
disponible [] stk = []
disponible (art:reste) stk = (foldl(\acc (E m a p)->if a==art then (m,p):acc else acc) [] stk)++(disponible reste stk)
Any ideas? 有任何想法吗?
Edit: 编辑:
disponible::[Article]->Stock->[(Magasin,Float)]
disponible articles stock = map(\(m,ls)->(m,sum $ map (\(E _ _ p)->p) ls)) $ filter ((==length articles).length.snd) magasinsArticles
where contientArticles = (filter (\(E _ a _)->a`elem`articles) stock)
magasins = foldl (\acc e-> if e`elem`acc then acc else (e:acc)) [] $ map (\(E m _ _)->m) contientArticles
magasinsArticles = map (\m->(m,filter(\(E m2 _ _)->m2==m) contientArticles)) magasins
Found the answer I was looking for. 找到了我想要的答案。
disponible::[Article]->Stock->[(Magasin,Float)]
disponible articles stock = map(\(m,ls)->(m,sum $ map (\(E _ _ p)->p) ls)) $ filter ((==length articles).length.snd) magasinsArticles
where contientArticles = (filter (\(E _ a _)->a`elem`articles) stock)
magasins = foldl (\acc e-> if e`elem`acc then acc else (e:acc)) [] $ map (\(E m _ _)->m) contientArticles
magasinsArticles = map (\m->(m,filter(\(E m2 _ _)->m2==m) contientArticles)) magasins
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