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Merged
merged 1 commit into from
Oct 25, 2025
Merged

Test cleanup #260

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2 changes: 1 addition & 1 deletion Project.toml
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Original file line number Diff line number Diff line change
@@ -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"
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6 changes: 0 additions & 6 deletions test/solvers/test_fitting.jl
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Expand Up @@ -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))
Expand All @@ -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
Expand All @@ -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
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