朱莉娅阵列中的三点(...)有什么作用?他们为什么要更改类型签名?

时间:2015-11-20 21:28:03

标签: julia

鉴于以下数据类型,以下理解产生两个Array{Any,1} Player s:

[[team.players for team in [big_team_1, big_team_2]]]

然而,下一个理解产生了12个元素的Array{Player,1}的期望结果:

[[team.players for team in [big_team_1, big_team_2]]...]

...到底在做什么?这记录在哪里?

数据:

type Player
  ranking::Int
end

type Team
  players::Array{Player}
end

team_1 = Team([Player(10_000), Player(11_000), Player(9_000), Player(8_500),
                   Player(20_000), Player(10_500)])

team_2 = Team([Player(i.ranking + 3000) for i in team_1.players])

1 个答案:

答案 0 :(得分:12)

args...; kwargs... splat 运算符,如果您了解Python,则它与*args**kwargs相同:

您可以在此处找到文档:What does the splat ... operator do?

在方法签名中(收集参数)。

julia> function foo(pos_1, pos_2, opt_1 = :opt_1, args...;
                    opt_kw1 = :opt_kw1, opt_kw2 = :opt_kw2, kwargs...)
           [pos_1, pos_2, opt_1, args, opt_kw1, opt_kw2, (kwargs,);]
       end
foo (generic function with 2 methods)

此签名表示:

  • pos_1是第一个必需的位置参数。
  • pos_2是第二个必要的位置参数。
  • opt_1是可选的位置参数。
  • args...是以下所有位置参数,都是在元组中收集的。

注意半冒号;如何将位置参数与关键字参数分开(顺序在关键字参数中不重要):

  • opt_kw1是一个可选的关键字参数。
  • opt_kw2是一个可选的关键字参数。
  • kwargs...是在元组(键,值)对数组中收集的以下所有关键字参数。
julia> methods(foo)
# 2 methods for generic function "foo":
foo(pos_1, pos_2) at none:3
foo(pos_1, pos_2, opt_1, args...) at none:3

foo可以像这样调用:

必需参数:
julia> foo(:pos_1, :pos_2)
7-element Array{Any,1}:
 :pos_1      # provided value
 :pos_2      # provided value
 :opt_1      # default value
 ()          # empty tuple
 :opt_kw1    # default value
 :opt_kw2    # default value
 (Any[],)    # there are no kwargs
可选的位置和关键字参数:
julia> foo(:pos_1, :pos_2, :OPT_1, :a, :b, :c,
           opt_kw2 = :OPT_KW2, kwarg1 = true, opt_kw1 = :OPT_KW1, kwarg2 = false)
7-element Array{Any,1}:
 :pos_1
 :pos_2
 :OPT_1
 (:a,:b,:c)
 :OPT_KW1
 :OPT_KW2
 (Any[(:kwarg1,true),(:kwarg2,false)],)

注意关键字参数中的顺序是如何不相关的,调用函数时也不需要分号;

在函数调用中(传播参数)。

使用集合为位置参数和assosiative集合以及关键字参数的符号键:

julia> x, y, z = 1, 2, 3;

julia> sum(x, y, z)
ERROR: MethodError: `sum` has no method matching sum(::Int64, ::Int64, ::Int64)
Closest candidates are:
  sum(::Union{Base.Func{1},Function}, ::AbstractArray{T,N}, ::Any)
  sum(::Union{Base.Func{1},DataType,Function}, ::Any)
  sum(::BitArray{N}, ::Any)
  ...

julia> sum
sum (generic function with 12 methods)

julia> Base.sum(args...) = sum(args)
sum (generic function with 13 methods)

julia> sum(x, y, z)
6

julia> foo(x, y, z) = sum(x, y, z)
foo (generic function with 1 method)

julia> foo(x, y, z)
6

julia> foo([x, y, z])
ERROR: MethodError: `foo` has no method matching foo(::Array{Int64,1})
Closest candidates are:
  foo(::Any, ::Any, ::Any)

julia> foo([x, y, z]...)
6
julia> foo(; x = 0, y = 0, z = 0) = sum(x, y, z)
foo (generic function with 2 methods)

julia> foo()
0

julia> foo(z = 3, x = 1, y = 2)
6

julia> foo(; Dict(:z => 3, :y => 2, :x => 1))
ERROR: TypeError: anonymous: in typeassert, expected Symbol, got Pair{Symbol,Int64}
 in anonymous at no file

julia> foo(; Dict(:z => 3, :y => 2, :x => 1)...)
6