Julia 朱莉娅:为什么在函数中指定参数的类型会导致(看起来)不一致的行为?

Julia 朱莉娅:为什么在函数中指定参数的类型会导致(看起来)不一致的行为?,julia,default-value,type-declaration,Julia,Default Value,Type Declaration,我有一个函数,它接受7个关键字参数,每个参数都指定了类型,最后一个参数有一个默认值,如下所示: function dummy(;truefalse1::S, somevar1::T, somevar2::T, somevar3::T, somevar4::T, scalarvar::Int64, truefalse2::D = falses(3, 3)) where { T <: Union{Array{Float64,2}, SubAr

我有一个函数,它接受7个关键字参数,每个参数都指定了类型,最后一个参数有一个默认值,如下所示:

function dummy(;truefalse1::S, somevar1::T, somevar2::T, somevar3::T, somevar4::T, 
                     scalarvar::Int64, truefalse2::D = falses(3, 3)) where {
    T <: Union{Array{Float64,2}, SubArray{Float64, 2}},
    S <: AbstractArray{Bool}, D <: AbstractArray{Bool}}

    ### 

end
换句话说,D类型已被删除,对两个实例都使用S类型

错误消息如下所示:

ERROR: MethodError: no method matching #dummy#823(::SubArray{Bool,2,BitArray{2},Tuple{UnitRange{Int64},UnitRange{Int64}},false}, ::SubArray{Float64,2,Array{Float64,2},Tuple{UnitRange{Int64},UnitRange{Int64}},false}, ::SubArray{Float64,2,Array{Float64,2},Tuple{UnitRange{Int64},UnitRange{Int64}},false}, ::SubArray{Float64,2,Array{Float64,2},Tuple{UnitRange{Int64},UnitRange{Int64}},false}, ::SubArray{Float64,2,Array{Float64,2},Tuple{UnitRange{Int64},UnitRange{Int64}},false}, ::Int64, ::BitArray{2}, ::typeof(wheretonext))
Closest candidates are:
  #dummy#823(::S, ::T, ::T, ::T, ::T, ::Int64, ::S, ::typeof(dummy)) where {T<:Union{Array{Float64,2}, SubArray{Float64,2,P,I,L} where L where I where P}, S<:(AbstractArray{Bool,N} where N)} at /SomePath/someDummyCode.jl:238
Stacktrace:
 [1] (::var"#kw##dummy")(::NamedTuple{(:truefalse1, :somevar1, :somevar2, :somevar3, :somevar4, :scalarvar),Tuple{SubArray{Bool,2,BitArray{2},Tuple{UnitRange{Int64},UnitRange{Int64}},false},SubArray{Float64,2,Array{Float64,2},Tuple{UnitRange{Int64},UnitRange{Int64}},false},SubArray{Float64,2,Array{Float64,2},Tuple{UnitRange{Int64},UnitRange{Int64}},false},SubArray{Float64,2,Array{Float64,2},Tuple{UnitRange{Int64},UnitRange{Int64}},false},SubArray{Float64,2,Array{Float64,2},Tuple{UnitRange{Int64},UnitRange{Int64}},false},Int64}}, ::typeof(dummy)) at ./none:0
 [2] top-level scope at none:0
这些情况使用第二个函数声明产生上述错误:

julia> dummy(truefalse1 = view(trf1, 2:4, 3:5), somevar1 = view(smv1, 2:4, 3:5),
              somevar2 = view(smv2, 2:4, 3:5), somevar3 = view(smv3, 2:4, 3:5),
              somevar4 = view(smv4, 2:4, 3:5), scalarvar = 1)
但是,仍然使用第二个函数声明,这种情况很好:

julia> dummy(truefalse1 = view(trf1, 2:4, 3:5), somevar1 = view(smv1, 2:4, 3:5),
              somevar2 = view(smv2, 2:4, 3:5), somevar3 = view(smv3, 2:4, 3:5),
              somevar4 = view(smv4, 2:4, 3:5), scalarvar = 1, truefalse2 = view(trf2, 2:4, 3:5))
回想一下:上述所有测试用例在第一个函数声明中都可以正常工作


我将非常感谢任何关于我可能做错了什么或Julia语言中的相关微妙之处的建议。这是我在Julia中编写代码的第二周,所以我也欢迎任何其他提示。谢谢大家!

这是因为在第一个定义中,您让truefalse1和truefalse2具有不同的类型S和D,这两种类型都是AbstractArray{Bool}的子类型。而在第二个定义中,truefalse1和truefalse2必须具有相同的类型S,并且约束S是AbstractArray{Bool}的子类型

的文档应该更详细地解释这一点,但以下更简单的示例可能有助于您了解事物的工作原理:

# a and b can be of different types
function foo(a::S, b::T) where {
    S<:AbstractArray{Bool},
    T<:AbstractArray{Bool}}
end

# a and b must have the same type
function bar(a::S, b::S) where {
    S<:AbstractArray{Bool}}
end

# test data
a = rand(Bool, 10); # Array
b = rand(Bool, 10); # Array
c = view(b, 1:5);   # SubArray
以下调用所有工作:

# OK because:
# - typeof(a) == Array{Bool,1} <: AbstractArray{Bool}
# - typeof(b) == Array{Bool,1} <: AbstractArray{Bool}
# => substitute S for Array{Bool,1} and T for Array{Bool,1}
julia> foo(a, b)

# OK because:
#   typeof(a) == typeof(b) == Array{Bool,1} <: AbstractArray{Bool}
# => substitute S for Array{Bool,1}
julia> bar(a, b)

# OK because:
# - a isa Array{Bool,1} <: AbstractArray
# - c isa SubArray{Bool,...} <: AbstractArray{Bool}
# => substitute S for Array{Bool,1} and T for SubArray{Bool,...}
julia> foo(a, c)

# Not OK because typeof(a) != typeof(b)
# there is no concrete type S such that
# - a isa S
# - b isa S
# - S <: AbstractArray
# => Method does not match
julia> bar(a, c)
ERROR: MethodError: no method matching bar(::Array{Bool,1}, ::SubArray{Bool,1,Array
{Bool,1},Tuple{UnitRange{Int64}},true})                                           
Closest candidates are:
  bar(::S, ::S) where S<:(AbstractArray{Bool,N} where N) at REPL[2]:3
Stacktrace:
 [1] top-level scope at REPL[9]:1

这是因为在第一个定义中,您让truefalse1和truefalse2具有不同的类型S和D,这两种类型都是AbstractArray{Bool}的子类型。而在第二个定义中,truefalse1和truefalse2必须具有相同的类型S,并且约束S是AbstractArray{Bool}的子类型

的文档应该更详细地解释这一点,但以下更简单的示例可能有助于您了解事物的工作原理:

# a and b can be of different types
function foo(a::S, b::T) where {
    S<:AbstractArray{Bool},
    T<:AbstractArray{Bool}}
end

# a and b must have the same type
function bar(a::S, b::S) where {
    S<:AbstractArray{Bool}}
end

# test data
a = rand(Bool, 10); # Array
b = rand(Bool, 10); # Array
c = view(b, 1:5);   # SubArray
以下调用所有工作:

# OK because:
# - typeof(a) == Array{Bool,1} <: AbstractArray{Bool}
# - typeof(b) == Array{Bool,1} <: AbstractArray{Bool}
# => substitute S for Array{Bool,1} and T for Array{Bool,1}
julia> foo(a, b)

# OK because:
#   typeof(a) == typeof(b) == Array{Bool,1} <: AbstractArray{Bool}
# => substitute S for Array{Bool,1}
julia> bar(a, b)

# OK because:
# - a isa Array{Bool,1} <: AbstractArray
# - c isa SubArray{Bool,...} <: AbstractArray{Bool}
# => substitute S for Array{Bool,1} and T for SubArray{Bool,...}
julia> foo(a, c)

# Not OK because typeof(a) != typeof(b)
# there is no concrete type S such that
# - a isa S
# - b isa S
# - S <: AbstractArray
# => Method does not match
julia> bar(a, c)
ERROR: MethodError: no method matching bar(::Array{Bool,1}, ::SubArray{Bool,1,Array
{Bool,1},Tuple{UnitRange{Int64}},true})                                           
Closest candidates are:
  bar(::S, ::S) where S<:(AbstractArray{Bool,N} where N) at REPL[2]:3
Stacktrace:
 [1] top-level scope at REPL[9]:1
# OK because:
# - typeof(a) == Array{Bool,1} <: AbstractArray{Bool}
# - typeof(b) == Array{Bool,1} <: AbstractArray{Bool}
# => substitute S for Array{Bool,1} and T for Array{Bool,1}
julia> foo(a, b)

# OK because:
#   typeof(a) == typeof(b) == Array{Bool,1} <: AbstractArray{Bool}
# => substitute S for Array{Bool,1}
julia> bar(a, b)

# OK because:
# - a isa Array{Bool,1} <: AbstractArray
# - c isa SubArray{Bool,...} <: AbstractArray{Bool}
# => substitute S for Array{Bool,1} and T for SubArray{Bool,...}
julia> foo(a, c)

# Not OK because typeof(a) != typeof(b)
# there is no concrete type S such that
# - a isa S
# - b isa S
# - S <: AbstractArray
# => Method does not match
julia> bar(a, c)
ERROR: MethodError: no method matching bar(::Array{Bool,1}, ::SubArray{Bool,1,Array
{Bool,1},Tuple{UnitRange{Int64}},true})                                           
Closest candidates are:
  bar(::S, ::S) where S<:(AbstractArray{Bool,N} where N) at REPL[2]:3
Stacktrace:
 [1] top-level scope at REPL[9]:1