How to implement boundary conditions with `masked_value` about bitinformation.jl HOT 3 OPEN

julia> using BitInformation
julia> a = rand(Float32,100)
julia> bitinformation(a,set_zero_insignificant=true)
32-element Vector{Float64}:
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 ⋮
 0.0

julia> bitinformation(a,set_zero_insignificant=false)
32-element Vector{Float64}:
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0040017578752447125
 0.00762811148439329
 0.004276987851521523
 0.00023748155804284116
 ⋮
 0.007157098012580706
 0.00791399692709715
 0.00480941092599706
 0.002926451394794344
 0.008214283901808138
 0.005549176061803784
 0.00359966561437504
 0.017224936442887365
 0.0059782906996011615

julia> bitinformation(a,set_zero_insignificant=false,masked_value=NaN32)
32-element Vector{Float64}:
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0038971829878380847
 0.005576694247738862
 0.005576694247738862
 0.0005831180658698092
 ⋮
 0.0059096798906598975
 0.006578377952308912
 0.003943640725332606
 0.004330712596832224
 0.006655303074143492
 0.004283055423926335
 0.002705618353765177
 0.018927358053287838
 0.006400338428602179

julia> bitinformation(Float32[1,2,3,4,5], set_zero_insignificant=false, masked_value=NaN32)
32-element Vector{Float64}:
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.0
 0.25162916738782287
 0.25162916738782287
 ⋮