Remove EinExprs Tests

Author: JoeyT1994

test/test_contraction_sequence.jl

@@ -1,58 +1,58 @@
 @eval module $(gensym())
 # using EinExprs: Exhaustive, Greedy, HyPar
-# using ITensorNetworks:
-#   contraction_sequence, norm_sqr_network, random_tensornetwork, siteinds
-# using ITensors: ITensors, contract
-# using NamedGraphs.NamedGraphGenerators: named_grid
-# using OMEinsumContractionOrders: OMEinsumContractionOrders
-# using StableRNGs: StableRNG
-# using TensorOperations: TensorOperations
+using ITensorNetworks:
+  contraction_sequence, norm_sqr_network, random_tensornetwork, siteinds
+using ITensors: ITensors, contract
+using NamedGraphs.NamedGraphGenerators: named_grid
+using OMEinsumContractionOrders: OMEinsumContractionOrders
+using StableRNGs: StableRNG
+using TensorOperations: TensorOperations
 using Test: @test, @testset
 @testset "contraction_sequence" begin
-  # ITensors.@disable_warn_order begin
-  #   dims = (2, 3)
-  #   g = named_grid(dims)
-  #   s = siteinds("S=1/2", g)
-  #   χ = 10
-  #   rng = StableRNG(1234)
-  #   ψ = random_tensornetwork(rng, s; link_space=χ)
-  #   tn = norm_sqr_network(ψ)
-  #   seq_optimal = contraction_sequence(tn; alg="optimal")
-  #   res_optimal = contract(tn; sequence=seq_optimal)[]
-  #   seq_greedy = contraction_sequence(tn; alg="greedy")
-  #   res_greedy = contract(tn; sequence=seq_greedy)[]
-  #   seq_tree_sa = contraction_sequence(tn; alg="tree_sa")
-  #   res_tree_sa = contract(tn; sequence=seq_tree_sa)[]
-  #   seq_sa_bipartite = contraction_sequence(tn; alg="sa_bipartite")
-  #   res_sa_bipartite = contract(tn; sequence=seq_sa_bipartite)[]
-  #   seq_einexprs_exhaustive = contraction_sequence(
-  #     tn; alg="einexpr", optimizer=Exhaustive()
-  #   )
-  #   res_einexprs_exhaustive = contract(tn; sequence=seq_einexprs_exhaustive)[]
-  #   seq_einexprs_greedy = contraction_sequence(tn; alg="einexpr", optimizer=Greedy())
-  #   res_einexprs_greedy = contract(tn; sequence=seq_einexprs_exhaustive)[]
-  #   @test res_greedy ≈ res_optimal
-  #   @test res_tree_sa ≈ res_optimal
-  #   @test res_sa_bipartite ≈ res_optimal
-  #   @test res_einexprs_exhaustive ≈ res_optimal
-  #   @test res_einexprs_greedy ≈ res_optimal
+  ITensors.@disable_warn_order begin
+    dims = (2, 3)
+    g = named_grid(dims)
+    s = siteinds("S=1/2", g)
+    χ = 10
+    rng = StableRNG(1234)
+    ψ = random_tensornetwork(rng, s; link_space=χ)
+    tn = norm_sqr_network(ψ)
+    seq_optimal = contraction_sequence(tn; alg="optimal")
+    res_optimal = contract(tn; sequence=seq_optimal)[]
+    seq_greedy = contraction_sequence(tn; alg="greedy")
+    res_greedy = contract(tn; sequence=seq_greedy)[]
+    seq_tree_sa = contraction_sequence(tn; alg="tree_sa")
+    res_tree_sa = contract(tn; sequence=seq_tree_sa)[]
+    seq_sa_bipartite = contraction_sequence(tn; alg="sa_bipartite")
+    res_sa_bipartite = contract(tn; sequence=seq_sa_bipartite)[]
+    # seq_einexprs_exhaustive = contraction_sequence(
+    #   tn; alg="einexpr", optimizer=Exhaustive()
+    # )
+    # res_einexprs_exhaustive = contract(tn; sequence=seq_einexprs_exhaustive)[]
+    # seq_einexprs_greedy = contraction_sequence(tn; alg="einexpr", optimizer=Greedy())
+    # res_einexprs_greedy = contract(tn; sequence=seq_einexprs_exhaustive)[]
+    @test res_greedy ≈ res_optimal
+    @test res_tree_sa ≈ res_optimal
+    @test res_sa_bipartite ≈ res_optimal
+    # @test res_einexprs_exhaustive ≈ res_optimal
+    # @test res_einexprs_greedy ≈ res_optimal
 
-  #   if !Sys.iswindows()
-  #     # KaHyPar doesn't work on Windows
-  #     # https://github.com/kahypar/KaHyPar.jl/issues/9
-  #     using Pkg
-  #     Pkg.add("KaHyPar"; io=devnull)
-  #     using KaHyPar
-  #     seq_kahypar_bipartite = contraction_sequence(
-  #       tn; alg="kahypar_bipartite", sc_target=200
-  #     )
-  #     Pkg.rm("KaHyPar"; io=devnull)
-  #     res_kahypar_bipartite = contract(tn; sequence=seq_kahypar_bipartite)[]
-  #     @test res_optimal ≈ res_kahypar_bipartite
-  #     seq_einexprs_kahypar = contraction_sequence(tn; alg="einexpr", optimizer=HyPar())
-  #     res_einexprs_kahypar = contract(tn; sequence=seq_einexprs_kahypar)[]
-  #     @test res_einexprs_kahypar ≈ res_optimal
-  #   end
-  # end
+    if !Sys.iswindows()
+      # KaHyPar doesn't work on Windows
+      # https://github.com/kahypar/KaHyPar.jl/issues/9
+      using Pkg
+      Pkg.add("KaHyPar"; io=devnull)
+      using KaHyPar
+      seq_kahypar_bipartite = contraction_sequence(
+        tn; alg="kahypar_bipartite", sc_target=200
+      )
+      Pkg.rm("KaHyPar"; io=devnull)
+      res_kahypar_bipartite = contract(tn; sequence=seq_kahypar_bipartite)[]
+      @test res_optimal ≈ res_kahypar_bipartite
+      # seq_einexprs_kahypar = contraction_sequence(tn; alg="einexpr", optimizer=HyPar())
+      # res_einexprs_kahypar = contract(tn; sequence=seq_einexprs_kahypar)[]
+      # @test res_einexprs_kahypar ≈ res_optimal
+    end
+  end
 end
 end