也许monad允许链接一组所有可能失败的运算符(通过返回None),并且Some result如果每个子操作成功,或者None如果有任何失败,则返回结束.这是一个小例子:
type MaybeBuilder() =
member this.Return(x) =
Some x
member this.Bind(m, f) =
match m with
| Some x -> f x
| None -> None
let maybe = MaybeBuilder()
let list = [1;2;3;4]
// evaluates to Some 3
maybe {
let! x1 = List.tryFind ((=) 1) list
let! x2 = List.tryFind ((=) 2) list
return x1 + x2
}
// evaluates to None
maybe {
let! x1 = List.tryFind ((=) 1) list
let! x2 = List.tryFind ((=) 6) list
return x1 + x2
}
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这大致相当于:
// evaluates to Some 3
match List.tryFind ((=) 1) list with
| None -> None
| Some x1 ->
match List.tryFind ((=) 2) list with
| None -> None
| Some x2 -> Some (x1 + x2)
// evaluates to None
match List.tryFind ((=) 1) list with
| None -> None
| Some x1 ->
match List.tryFind ((=) 6) list with
| None -> None
| Some x2 -> Some (x1 + x2)
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在我的一段代码中,我正在做与此相反的"反面",返回第一个成功命中:
// evaluates to Some 1
match List.tryFind ((=) 1) list with
| Some x1 -> Some x1
| None ->
match List.tryFind ((=) 2) list with
| Some x2 -> Some x2
| None -> None
// evaluates to Some 2
match List.tryFind ((=) 6) list with
| Some x1 -> Some x1
| None ->
match List.tryFind ((=) 2) list with
| Some x2 -> Some x2
| None -> None
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这也可以用monad来获得漂亮的计算表达式语法吗?
前段时间,我写了一篇博客,在F#中实现命令式计算构建器.例如,以下是返回0并且从不执行printfn语句的计算:
let test() = imperative {
return 0
printfn "after return!"
return 1 }
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我认为您的代码示例可以写成:
imperative { return! List.tryFind ((=) 1) list
return! List.tryFind ((=) 2) list }
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正如你所建议的那样(和Lee也提到过),类型也是基于option<'T>类型,但是我使用延迟选项值的小差异(这样你可以在不评估它们的情况下组成计算),所以monadic的类型类型实际上是:
type Imperative<'T> = unit -> option<'T>
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计算构建器中的关键技巧是添加Combine(其行为类似于mplusLee的Haskell版本),它运行第一次计算并返回其结果(如果是Some)或运行其余的(如果是None)(两者a并且b实际上是函数 -所以我们需要调用它们并延迟结果):
member x.Combine(a, b) = (fun () ->
match a() with
| Some(v) -> Some(v) // if it returned, we can return the result immediately
| _ -> b() ) // otherwise, we need to run the second part
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它实际上非常好用 - 你可以添加对循环和异常处理的支持,如果你使类型更复杂,你可以添加其他功能,如break:
imperative {
for x in 1 .. 5 do
if (x % 2 = 0) then do! continue
printfn "number = %d" x }
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托马斯的解决方案
imperative {
return! List.tryFind ((=) 1) list
return! List.tryFind ((=) 2) list }
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做我想要的,但我刚刚意识到我也可以通过这个简单地实现我所需要的:
// evaluates to Some 1
[1;2] |> List.tryPick (fun x -> List.tryFind ((=) x) list)
// evaluates to Some 2
[6;2] |> List.tryPick (fun x -> List.tryFind ((=) x) list)
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Haskell使用MonadPlus定义为的类型类来完成此操作:
class Monad m => MonadPlus m where
mzero :: m a
mplus :: m a -> m a -> m a
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Maybe 将此类型类实现为
instance MonadPlus Maybe where
mzero = Nothing
Nothing `mplus` Nothing = Nothing
Just x `mplus` Nothing = Just x
Nothing `mplus` Just x = Just x
Just x `mplus` Just y = Just x
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看来,mzero和mplus成员MonadPlus对应于Zero和Combine部件所使用的F#计算表达式.