format files

Author: ytdHuang

src/qobj/arithmetic_and_attributes.jl

@@ -825,5 +825,9 @@ _dims_and_perm(::OperatorQuantumObject, dimslist::SVector{N,Int}, order::Abstrac
     reverse(vcat(dimslist, dimslist)), reverse((2 * L + 1) .- vcat(order, order .+ L))
 
 # if dims originates from CompoundDimensions
-_dims_and_perm(::OperatorQuantumObject, dimslist::SVector{2, SVector{N, Int}}, order::AbstractVector{Int}, L::Int) where {N} =
-    reverse(vcat(dimslist[1], dimslist[2])), reverse((2 * L + 1) .- vcat(order, order .+ L))
+_dims_and_perm(
+    ::OperatorQuantumObject,
+    dimslist::SVector{2,SVector{N,Int}},
+    order::AbstractVector{Int},
+    L::Int,
+) where {N} = reverse(vcat(dimslist[1], dimslist[2])), reverse((2 * L + 1) .- vcat(order, order .+ L))

src/qobj/operators.jl

@@ -33,10 +33,8 @@ The `distribution` specifies which of the method used to obtain the unitary matr
 """
 rand_unitary(dimensions::Int, distribution::Union{Symbol,Val} = Val(:haar)) =
     rand_unitary(SVector(dimensions), makeVal(distribution))
-rand_unitary(
-    dimensions::Union{Dimensions,AbstractVector{Int},Tuple},
-    distribution::Union{Symbol,Val} = Val(:haar),
-) = rand_unitary(dimensions, makeVal(distribution))
+rand_unitary(dimensions::Union{Dimensions,AbstractVector{Int},Tuple}, distribution::Union{Symbol,Val} = Val(:haar)) =
+    rand_unitary(dimensions, makeVal(distribution))
 function rand_unitary(dimensions::Union{Dimensions,AbstractVector{Int},Tuple}, ::Val{:haar})
     N = prod(dimensions)