Merge pull request #87 from ReactiveBayes/dependabot/github_actions/actions/checkout-6

build(deps): bump actions/checkout from 5 to 6

Author: Nimrais

.github/workflows/CI.yml

@@ -38,7 +38,7 @@ jobs:
         arch:
           - x64
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       - uses: julia-actions/setup-julia@v2
         with:
           include-all-prereleases: true
@@ -62,7 +62,7 @@ jobs:
       contents: write
       statuses: write
     steps:
-      - uses: actions/checkout@v5
+      - uses: actions/checkout@v6
       - uses: julia-actions/setup-julia@v2
         with:
           version: '1.11'

.github/workflows/IntegrationTest.yml

@@ -25,7 +25,7 @@ jobs:
                     - { user: ReactiveBayes, repo: RxInfer.jl }
 
         steps:
-            - uses: actions/checkout@v5
+            - uses: actions/checkout@v6
 
             - uses: julia-actions/setup-julia@v2
               with:
@@ -35,7 +35,7 @@ jobs:
             - uses: julia-actions/julia-buildpkg@v1
 
             - name: Clone Downstream
-              uses: actions/checkout@v5
+              uses: actions/checkout@v6
               with:
                   repository: ${{ matrix.package.user }}/${{ matrix.package.repo }}
                   path: downstream

test/manopt/bounded_norm_update_rule_tests.jl

@@ -82,9 +82,9 @@
             for limit in (1, 1.0, 1.0f0), p in (zeros(Float64, 3), zeros(Float32, 3))
                 cpa = DefaultManoptProblem(M, ManifoldGradientObjective(f, grad_f))
                 gst = GradientDescentState(M; p = zero(p))
-                @test_opt BoundedNormUpdateRule(limit)(cpa, gst, 1)
-                @test_opt BoundedNormUpdateRule(static(limit))(cpa, gst, 1)
-                @test_opt BoundedNormUpdateRule(
+                @test_opt target_modules=(ExponentialFamilyProjection,) BoundedNormUpdateRule(limit)(cpa, gst, 1)
+                @test_opt target_modules=(ExponentialFamilyProjection,) BoundedNormUpdateRule(static(limit))(cpa, gst, 1)
+                @test_opt target_modules=(ExponentialFamilyProjection,) BoundedNormUpdateRule(
                     static(limit);
                     direction = BoundedNormUpdateRule(limit),
                 )(