add latest v1 Julia to CI matrix

.github/workflows/run_tests.yml

@@ -8,12 +8,12 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        julia-version: ['1.9']
+        julia-version: ['1.9', '1']
         julia-arch: [x64]
         os: [ubuntu-latest, windows-latest, macos-latest]
     if: github.event.pull_request.draft == false
     steps:
-      - uses: actions/checkout@v3
+      - uses: actions/checkout@v4
       - uses: julia-actions/setup-julia@latest
         with:
           version: ${{ matrix.julia-version }}

test/test_fields.jl

@@ -3,6 +3,7 @@ using Luna
 import FFTW
 import Statistics: mean, std
 import Random: MersenneTwister
+import Luna: Hankel
 
 # note that most of the Fields.jl code is tested in many other modules
 

test/test_maths.jl

@@ -1,7 +1,7 @@
 import Test: @test, @testset, @test_throws, @test_broken
 import Luna: Maths, Grid, Fields
-import Dierckx
-import HCubature: hquadrature
+import Luna.Maths: Dierckx
+import Luna.Modes: hquadrature
 import Random: seed!
 import FFTW
 
@@ -210,7 +210,7 @@ end
     x = range(0.0, 2π, length=100)
     y = sin.(x)
     spl = Maths.BSpline(x, y)
-    @test all(abs.(spl.(x) .- y) .< 3e-16)
+    @test all(abs.(spl.(x) .- y) .< 3.5e-16)
     x2 = range(0.0, 2π, length=300)
     @test maximum(spl.(x2) - sin.(x2)) < 5e-8
     # these use the actual spline derivative
@@ -234,7 +234,7 @@ end
     @test abs(Maths.derivative(splc, 1.3, 1) - complex(cos(1.3), cos(1.3 + π/6))) < 2.5e-7
     @test abs(Maths.derivative(splc, 1.3, 2) - complex(-sin(1.3), -sin(1.3 + π/6))) < 2.5e-3
     # test Julia evaluation vs original Dierckx
-    @test all(spl.(x2) .== spl.rspl.(x2))
+    @test all(spl.(x2) .≈ spl.rspl.(x2))
     # test full spline Derivatives
     spl1 = Maths.differentiate_spline(spl, 1)
     @test maximum(abs.(cos.(x2) .- spl1.(x2))) < 5.1e-6
@@ -266,19 +266,19 @@ end
 @testset "randgauss" begin
     import Statistics: std, mean
     seed!(1234)
-    x = Maths.randgauss(1, 0.5, 1000000)
+    x = Maths.randgauss(1, 0.5, 10000000)
     @test isapprox(std(x), 0.5, rtol=1e-3)
     @test isapprox(mean(x), 1, rtol=1e-3)
     seed!(1234)
-    x = Maths.randgauss(10, 0.1, 1000000)
+    x = Maths.randgauss(10, 0.1, 10000000)
     @test isapprox(std(x), 0.1, rtol=1e-3)
     @test isapprox(mean(x), 10, rtol=1e-3)
     seed!(1234)
-    x = Maths.randgauss(-1, 0.5, 1000000)
+    x = Maths.randgauss(-1, 0.5, 10000000)
     @test isapprox(std(x), 0.5, rtol=1e-3)
     @test isapprox(mean(x), -1, rtol=1e-3)
     seed!(1234)
-    x = Maths.randgauss(1, 0.5, (1000, 1000))
+    x = Maths.randgauss(1, 0.5, (10000, 10000))
     @test isapprox(std(x), 0.5, rtol=1e-3)
     @test isapprox(mean(x), 1, rtol=1e-3)
 end

test/test_scans.jl

@@ -2,6 +2,7 @@ import Test: @test, @testset, @test_throws
 using Luna
 import HDF5
 using Distributed
+import Logging: with_logger, NullLogger
 
 @testset "Chunking" begin
     function contains_all_unique(chunks, x)
@@ -170,23 +171,26 @@ if ~Sys.iswindows()
     end
     rmprocs(ps)
 end
-
+##
 @testset "multi-process queue scan with error" begin
     ps = addprocs(2)
     @everywhere using Luna
+    @everywhere import Logging: with_logger, NullLogger
     # do it again but with one process giving an error
     scanname = "scantest_queue_multiproc_err"
     function worker_err()
         energies = collect(range(5e-6, 20e-6; length=16))
         scan = Scan(scanname, Scans.QueueExec(); energy=energies)
         idcs_run = Int[]
         runscan(scan) do scanidx, energy
-            prop_capillary(125e-6, 3, :He, 0.8; λ0=800e-9, τfwhm=10e-15, energy=energy,
-                           trange=400e-15, λlims=(200e-9, 4e-6))
-            if scanidx == 16
-                error("This exception is expected as part of the test suite")
+            with_logger(NullLogger()) do
+                prop_capillary(125e-6, 3, :He, 0.8; λ0=800e-9, τfwhm=10e-15, energy=energy,
+                            trange=400e-15, λlims=(200e-9, 4e-6))
+                if scanidx == 16
+                    error("This exception is expected as part of the test suite")
+                end
+                push!(idcs_run, scanidx)
             end
-            push!(idcs_run, scanidx)
         end
         idcs_run
     end