Test cleanup

Author: mtfishman

Project.toml

@@ -1,7 +1,7 @@
 name = "ITensorNetworks"
 uuid = "2919e153-833c-4bdc-8836-1ea460a35fc7"
 authors = ["Matthew Fishman <[email protected]>, Joseph Tindall <[email protected]> and contributors"]
-version = "0.15.0"
+version = "0.15.1"
 
 [deps]
 AbstractTrees = "1520ce14-60c1-5f80-bbc7-55ef81b5835c"

test/solvers/test_fitting.jl

@@ -3,12 +3,10 @@ using ITensorNetworks: ITensorNetwork, siteinds, ttn, random_tensornetwork
 using ITensorNetworks.ModelHamiltonians: heisenberg
 using NamedGraphs.NamedGraphGenerators: named_comb_tree
 using Test: @test, @testset
-using Printf
 using StableRNGs: StableRNG
 using TensorOperations: TensorOperations #For contraction order finding
 
 @testset "Fitting Tests" begin
-    outputlevel = 1
     for elt in (Float32, Float64, Complex{Float32}, Complex{Float64})
         (outputlevel >= 1) && println("\nFitting tests with elt = ", elt)
         g = named_comb_tree((3, 2))
@@ -22,7 +20,6 @@ using TensorOperations: TensorOperations #For contraction order finding
         #f =
         #  inner(a, b; alg="exact") /
         #  sqrt(inner(a, a; alg="exact") * inner(b, b; alg="exact"))
-        #(outputlevel >= 1) && @printf("One-site truncation. Fidelity = %s\n", f)
         #@test abs(abs(f) - 1.0) <= 10*eps(real(elt))
 
         ##Two-site truncation
@@ -31,23 +28,20 @@ using TensorOperations: TensorOperations #For contraction order finding
         #f =
         #  inner(a, b; alg="exact") /
         #  sqrt(inner(a, a; alg="exact") * inner(b, b; alg="exact"))
-        #(outputlevel >= 1) && @printf("Two-site truncation. Fidelity = %s\n", f)
         #@test abs(abs(f) - 1.0) <= 10*eps(real(elt))
 
         # #One-site apply (no normalization)
         a = random_tensornetwork(rng, elt, s; link_space = 2)
         H = ITensorNetwork(ttn(heisenberg(g), s))
         Ha = apply(H, a; maxdim = 4, nsites = 1, normalize = false)
         f = inner(Ha, a; alg = "exact") / inner(a, H, a; alg = "exact")
-        (outputlevel >= 1) && @printf("One-site apply. Fidelity = %s\n", f)
         @test abs(f - 1.0) <= 500 * eps(real(elt))
 
         # #Two-site apply (no normalization)
         a = random_tensornetwork(rng, elt, s; link_space = 2)
         H = ITensorNetwork(ttn(heisenberg(g), s))
         Ha = apply(H, a; maxdim = 4, cutoff = 1.0e-16, nsites = 2, normalize = false)
         f = inner(Ha, a; alg = "exact") / inner(a, H, a; alg = "exact")
-        (outputlevel >= 1) && @printf("Two-site apply. Fidelity = %s\n", f)
         @test abs(f - 1.0) <= 500 * eps(real(elt))
     end
 end