Fix tests

Author: JoeyT1994

src/caches/beliefpropagationcache.jl

@@ -78,7 +78,7 @@ function default_update_alg(bp_cache::BeliefPropagationCache)
   )
 end
 function default_message_update_alg(bp_cache::BeliefPropagationCache)
-  Algorithm("contract"; normalize=true, sequence_alg="optimal")
+  return Algorithm("contract"; normalize=true, sequence_alg="optimal")
 end
 function set_kwargs(alg::Algorithm"contract")
   normalize = get(alg.kwargs, :normalize, true)

test/test_apply.jl

@@ -30,12 +30,12 @@ using Test: @test, @testset
   ψψ = norm_sqr_network(ψ)
   #Simple Belief Propagation Grouping
   bp_cache = BeliefPropagationCache(ψψ, group(v -> v[1], vertices(ψψ)))
-  bp_cache = update(bp_cache; maxiter=20)
+  bp_cache = update(bp_cache; alg=Algorithm("bp"; maxiter=20))
   envsSBP = environment(bp_cache, [(v1, "bra"), (v1, "ket"), (v2, "bra"), (v2, "ket")])
   ψv = VidalITensorNetwork(ψ)
   #This grouping will correspond to calculating the environments exactly (each column of the grid is a partition)
   bp_cache = BeliefPropagationCache(ψψ, group(v -> v[1][1], vertices(ψψ)))
-  bp_cache = update(bp_cache; maxiter=20)
+  bp_cache = update(bp_cache; alg=Algorithm("bp"; maxiter=20))
   envsGBP = environment(bp_cache, [(v1, "bra"), (v1, "ket"), (v2, "bra"), (v2, "ket")])
   inner_alg = "exact"
   ngates = 5

test/test_belief_propagation.jl

@@ -62,7 +62,7 @@ using Test: @test, @testset
     @test bpc[vket] == new_A
     @test bpc[vbra] == new_A_dag
 
-    bpc = update(bpc; maxiter=25, tol=eps(real(elt)))
+    bpc = update(bpc; alg=Algorithm("bp"; maxiter=25, tol=eps(real(elt))))
     #Test messages are converged
     for pe in partitionedges(bpc)
       @test message_diff(updated_message(bpc, pe), message(bpc, pe)) < 10 * eps(real(elt))

test/test_gauging.jl

@@ -28,7 +28,9 @@ using Test: @test, @testset
   ψ = random_tensornetwork(rng, s; link_space=χ)
 
   # Move directly to vidal gauge
-  ψ_vidal = VidalITensorNetwork(ψ; cache_update_kwargs=(; maxiter=30, verbose=true))
+  ψ_vidal = VidalITensorNetwork(
+    ψ; cache_update_kwargs=(; alg=Algorithm("bp"; maxiter=30, verbose=true))
+  )
   @test gauge_error(ψ_vidal) < 1e-8
 
   # Move to symmetric gauge
@@ -40,7 +42,7 @@ using Test: @test, @testset
   @test inner(ψ_symm, ψ) / sqrt(inner(ψ_symm, ψ_symm) * inner(ψ, ψ)) ≈ 1.0 atol = 1e-8
 
   #Test all message tensors are approximately diagonal even when we keep running BP
-  bp_cache = update(bp_cache; maxiter=10)
+  bp_cache = update(bp_cache; alg=Algorithm("bp"; maxiter=10))
   for m_e in values(messages(bp_cache))
     @test diag_itensor(vector(diag(only(m_e))), inds(only(m_e))) ≈ only(m_e) atol = 1e-8
   end