deps

Author: daanhb

Project.toml

@@ -25,13 +25,13 @@ SpecialFunctions = "276daf66-3868-5448-9aa4-cd146d93841b"
 StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
 
 [compat]
-BasisFunctions = "0.6.0"
+BasisFunctions = "0.6.3"
 CompositeTypes = "0.1.3"
-DomainSets = "0.6.1"
+DomainSets = "0.7"
 FillArrays = "0.12,0.13"
 GenericFFT = "0.1.3"
 GenericLinearAlgebra = "0.3"
-GridArrays = "0.2.0"
+GridArrays = "0.2.1"
 LowRankApprox = "0.5"
 MacroTools = "0.5"
 PGFPlotsX = "1.4"

test/test_scenariolist.jl

@@ -33,15 +33,15 @@ using BasisFunctions, LinearAlgebra, DomainSets, GridArrays, Test, StaticArrays,
     # Test differnence sampling_normalization
     ap2 = approximationproblem(Fourier(100),0.0..0.5;
             samplingstyle=OversamplingStyle(), oversamplingfactor=2, normalizedsampling=false)
-    s = svdvals(AZ_A(ap2))
+    s = svdvals(matrix(AZ_A(ap2)))
     N = sampling_weights(FrameFun.NormalizedSampling(OversamplingStyle()),approximationproblem(Fourier(100),0.0..0.5))
     L = samplingparameter(ap2)
     @test L == 399
     @test N[1] ≈ 1/sqrt(L)
     @test 47==sum(s.<.1*sqrt(L))
     @test 49==sum(s.>.9*sqrt(L))
 
-    s = svdvals(AZ_A(Fourier(100),0.0..0.5;oversamplingfactor=2,normalizedsampling=true))
+    s = svdvals(matrix(AZ_A(Fourier(100),0.0..0.5;oversamplingfactor=2,normalizedsampling=true)))
     @test 47==sum(s.<.1)
     @test 49==sum(1+1e-10 .> s .>.9)