Interp2d

Project.toml

@@ -1,7 +1,7 @@
 name = "Batsrus"
 uuid = "e74ebddf-6ac1-4047-a0e5-c32c99e57753"
 authors = ["Hongyang Zhou <[email protected]>"]
-version = "0.7.0"
+version = "0.7.1"
 
 [deps]
 FortranFiles = "c58ffaec-ab22-586d-bfc5-781a99fd0b10"

benchmark/benchmarks.jl

@@ -19,9 +19,11 @@ SUITE["read"]["ASCII"] = @benchmarkable load($file)
 
 file = joinpath(directory, files[2])
 bd = load(file)
+SUITE["read"]["Binary structured"] = @benchmarkable load($file)
 SUITE["read"]["Extract density"] = @benchmarkable Batsrus.getvar($bd, "Rho")
 SUITE["read"]["Extract B"] = @benchmarkable Batsrus.getvar($bd, "B")
-SUITE["read"]["Binary structured"] = @benchmarkable load($file)
-
+SUITE["read"]["Interp2d"] = @benchmarkable Batsrus.interp2d($bd, "rho")
+ 
 file = joinpath(directory, files[3])
+bd = load(file)
 SUITE["read"]["Anisotropy"] = @benchmarkable bd["Anisotropy1"]

src/Batsrus.jl

@@ -3,7 +3,7 @@ module Batsrus
 #
 # Hongyang Zhou, [email protected]
 
-using LinearAlgebra: normalize, ×, ⋅
+using LinearAlgebra: normalize, ×, ⋅, Adjoint
 using Printf, Reexport, Requires
 using Parsers
 using Interpolations: cubic_spline_interpolation, BSpline, Linear, scale, interpolate

src/utility.jl

@@ -13,10 +13,13 @@ data resolution is the same as the original.
 - `useMatplotlib=true`: Whether to Matplotlib (somehow faster) or NaturalNeighbours for scattered interpolation.
 """
 function interp2d(bd::BATS{2, 3, T}, var::AbstractString,
-   plotrange::Vector=[-Inf, Inf, -Inf, Inf], plotinterval::Real=Inf;
+   plotrangeIn::Vector=[-Inf32, Inf32, -Inf32, Inf32], plotinterval::Real=Inf32;
    innermask::Bool=false, rbody::Real=1.0, useMatplotlib::Bool=true) where T
    x, w = bd.x, bd.w
    varIndex_ = findindex(bd, var)
+   plotrange = T.(plotrangeIn)
+
+   local Wi::Union{Matrix{T}, Adjoint{T, Matrix{T}}}
 
    if bd.head.gencoord # Generalized coordinates
       X, Y = eachslice(x, dims=3)