Fix tests

Author: mtfishman

NDTensors/test/ITensors/Project.toml

@@ -1,4 +1,5 @@
 [deps]
+ITensorMPS = "0d1a4710-d33b-49a5-8f18-73bdf49b47e2"
 ITensors = "9136182c-28ba-11e9-034c-db9fb085ebd5"
 NDTensors = "23ae76d9-e61a-49c4-8f12-3f1a16adf9cf"
 SafeTestsets = "1bc83da4-3b8d-516f-aca4-4fe02f6d838f"

NDTensors/test/ITensors/TestITensorDMRG/dmrg.jl

@@ -1,12 +1,12 @@
-using ITensors: MPO, OpSum, dmrg, random_mps, siteinds
+using ITensorMPS: MPO, OpSum, dmrg, random_mps, siteinds
 using Random: Random
 using Test: @test
 include("../../NDTensorsTestUtils/NDTensorsTestUtils.jl")
 using .NDTensorsTestUtils: default_rtol
 # TODO: Include file with `reference_energies`.
 
 function test_dmrg(
-  elt, N::Integer; dev::Function, conserve_qns, rtol_scale=true, outputlevel=0
+  elt, N::Integer; dev::Function, conserve_qns, rtol_scale=true, outputlevel=0, broken=false
 )
   sites = siteinds("S=1/2", N; conserve_qns)
 
@@ -31,5 +31,5 @@ function test_dmrg(
 
   energy, psi = dmrg(H, psi0; nsweeps, cutoff, maxdim, noise, outputlevel)
 
-  @test energy ≈ reference_energies[N] rtol = rtol_scale * default_rtol(elt)
+  @test energy ≈ reference_energies[N] rtol = rtol_scale * default_rtol(elt) broken = broken
 end

NDTensors/test/ITensors/runtests.jl

@@ -14,13 +14,8 @@ using SafeTestsets: @safetestset
     if !is_supported_eltype(dev, elt)
       continue
     end
-    if TestITensorDMRG.is_broken(dev, elt, Val(conserve_qns))
-      # TODO: Switch to `@test ... broken=true`, introduced
-      # in Julia 1.7.
-      @test_broken TestITensorDMRG.test_dmrg(elt, N; dev, conserve_qns)
-    else
-      TestITensorDMRG.test_dmrg(elt, N; dev, conserve_qns, outputlevel=0)
-    end
+    broken = TestITensorDMRG.is_broken(dev, elt, Val(conserve_qns))
+    TestITensorDMRG.test_dmrg(elt, N; dev, conserve_qns, outputlevel=0, broken)
   end
   using ITensors.ITensorsNamedDimsArraysExt: to_nameddimsarray
   ## Without this line this test was throwing an error of ``NDTensors` not defined`

NDTensors/test/Project.toml

@@ -7,6 +7,7 @@ Dictionaries = "85a47980-9c8c-11e8-2b9f-f7ca1fa99fb4"
 EllipsisNotation = "da5c29d0-fa7d-589e-88eb-ea29b0a81949"
 FillArrays = "1a297f60-69ca-5386-bcde-b61e274b549b"
 GPUArraysCore = "46192b85-c4d5-4398-a991-12ede77f4527"
+ITensorMPS = "0d1a4710-d33b-49a5-8f18-73bdf49b47e2"
 ITensors = "9136182c-28ba-11e9-034c-db9fb085ebd5"
 JLArrays = "27aeb0d3-9eb9-45fb-866b-73c2ecf80fcb"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
@@ -23,12 +24,12 @@ Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 Zygote = "e88e6eb3-aa80-5325-afca-941959d7151f"
 
 [compat]
-cuTENSOR = "2.0"
 Metal = "1.1.0"
+cuTENSOR = "2.0"
 
 [extras]
 AMDGPU = "21141c5a-9bdb-4563-92ae-f87d6854732e"
 CUDA = "052768ef-5323-5732-b1bb-66c8b64840ba"
-cuTENSOR = "011b41b2-24ef-40a8-b3eb-fa098493e9e1"
 Metal = "dde4c033-4e86-420c-a63e-0dd931031962"
 TBLIS = "48530278-0828-4a49-9772-0f3830dfa1e9"
+cuTENSOR = "011b41b2-24ef-40a8-b3eb-fa098493e9e1"

test/Project.toml

@@ -5,7 +5,6 @@ Combinatorics = "861a8166-3701-5b0c-9a16-15d98fcdc6aa"
 Compat = "34da2185-b29b-5c13-b0c7-acf172513d20"
 FiniteDifferences = "26cc04aa-876d-5657-8c51-4c34ba976000"
 HDF5 = "f67ccb44-e63f-5c2f-98bd-6dc0ccc4ba2f"
-ITensorMPS = "0d1a4710-d33b-49a5-8f18-73bdf49b47e2"
 ITensors = "9136182c-28ba-11e9-034c-db9fb085ebd5"
 JLD2 = "033835bb-8acc-5ee8-8aae-3f567f8a3819"
 KrylovKit = "0b1a1467-8014-51b9-945f-bf0ae24f4b77"

test/runtests.jl

@@ -20,7 +20,6 @@ ITensors.disable_threaded_blocksparse()
       "threading",
       "lib/ContractionSequenceOptimization",
       "ext/ITensorsChainRulesCoreExt",
-      "ext/ITensorsPackageCompilerExt",
       "ext/ITensorsVectorInterfaceExt",
     ]
     @time for dir in dirs