Mercurial > repos > public > sbplib_julia
changeset 156:ef3e6c70b6f9 boundary_conditions
Add missing type parameter to application operator
| author | Jonatan Werpers <jonatan@werpers.com> |
|---|---|
| date | Mon, 29 Apr 2019 11:40:22 +0200 |
| parents | 9fdbae11dd77 |
| children | 63b495d5dbc7 |
| files | TensorMappings.jl |
| diffstat | 1 files changed, 1 insertions(+), 2 deletions(-) [+] |
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--- a/TensorMappings.jl Tue Apr 23 09:54:42 2019 +0200 +++ b/TensorMappings.jl Mon Apr 29 11:40:22 2019 +0200 @@ -46,14 +46,13 @@ Base.getindex(tm::TensorApplication, I::Vararg) = apply(tm.t, tm.o, I...) -→(t::TensorMapping{R,D}, o::AbstractArray{T,D}) where {T,R,D} = TensorApplication(t,o) +→(t::TensorMapping{T,R,D}, o::AbstractArray{T,D}) where {T,R,D} = TensorApplication(t,o) # Should we overload some other infix binary operator? # * has the wrong parsing properties... a*b*c is parsed to (a*b)*c (through a*b*c = *(a,b,c)) # while a→b→c is parsed as a→(b→c) # The associativity of the operators might be fixed somehow... (rfold/lfold?) # ∘ also is an option but that has the same problem as * (but is not n-ary) (or is this best used for composition of Mappings?) - struct TensorMappingComposition{T,R,K,D} <: TensorMapping{T,R,D} t1::TensorMapping{T,R,K} t2::TensorMapping{T,K,D}