reviewdog: Too many results (annotations) in diff. You may miss some annotations due to GitHub limitation for annotation created by logging command. Please check GitHub Actions log console to see all results. Limitation: - 10 warning annotations and 10 error annotations per step - 50 annotations per job (sum of annotations from all the steps) - 50 annotations per run (separate from the job annotations, these annotations aren't created by users) Source: https://github.community/t5/GitHub-Actions/Maximum-number-of-annotations-that-can-be-created-using-GitHub/m-p/39085

Process completed with exit code 1.

[JuliaFormatter] reported by reviewdog 🐶 Raw Output: src/beliefpropagation/beliefpropagation.jl:85:- edges = edge_update_order(undirected_graph(underlying_graph(mts))), src/beliefpropagation/beliefpropagation.jl:85:+ edges=edge_update_order(undirected_graph(underlying_graph(mts))),

[JuliaFormatter] reported by reviewdog 🐶 Raw Output: src/beliefpropagation/beliefpropagation.jl:122:- edges = edge_update_order(undirected_graph(underlying_graph(mts))) src/beliefpropagation/beliefpropagation.jl:122:+ edges=edge_update_order(undirected_graph(underlying_graph(mts))),

[JuliaFormatter] reported by reviewdog 🐶 Raw Output: src/beliefpropagation/beliefpropagation.jl:130:- println( src/beliefpropagation/beliefpropagation.jl:131:- "BP converged to desired precision after $i iterations.", src/beliefpropagation/beliefpropagation.jl:132:- ) src/beliefpropagation/beliefpropagation.jl:130:+ println("BP converged to desired precision after $i iterations.")

[JuliaFormatter] reported by reviewdog 🐶 Raw Output: src/gauging.jl:20:- edges = NamedGraphs.edges(ψ), src/gauging.jl:20:+ edges=NamedGraphs.edges(ψ),

[JuliaFormatter] reported by reviewdog 🐶 Raw Output: src/gauging.jl:177:-function vidal_itn_isometries(ψ::ITensorNetwork, bond_tensors::DataGraph; edges = vcat(NamedGraphs.edges(ψ), reverse.(NamedGraphs.edges(ψ)))) src/gauging.jl:177:+function vidal_itn_isometries( src/gauging.jl:178:+ ψ::ITensorNetwork, src/gauging.jl:179:+ bond_tensors::DataGraph; src/gauging.jl:180:+ edges=vcat(NamedGraphs.edges(ψ), reverse.(NamedGraphs.edges(ψ))), src/gauging.jl:181:+)

[JuliaFormatter] reported by reviewdog 🐶 Raw Output: src/utils.jl:33:- new_es = reverse(reverse.(edges(bfs_tree(g, v)))) src/utils.jl:34:- push!(es, setdiff(new_es, es)...) src/utils.jl:33:+ new_es = reverse(reverse.(edges(bfs_tree(g, v)))) src/utils.jl:34:+ push!(es, setdiff(new_es, es)...)

[JuliaFormatter] reported by reviewdog 🐶 Raw Output: src/utils.jl:39:-end src/utils.jl:39:+end

[JuliaFormatter] reported by reviewdog 🐶 Raw Output: test/test_belief_propagation.jl:44:- ψψ, test/test_belief_propagation.jl:45:- mts; test/test_belief_propagation.jl:46:- contract_kwargs=(; alg="exact"), test/test_belief_propagation.jl:47:- niters = 1, test/test_belief_propagation.jl:48:- update_sequence="sequential", test/test_belief_propagation.jl:44:+ ψψ, mts; contract_kwargs=(; alg="exact"), niters=1, update_sequence="sequential"

[JuliaFormatter] reported by reviewdog 🐶 Raw Output: test/test_belief_propagation.jl:60:- g = named_comb_tree((6,6)) test/test_belief_propagation.jl:56:+ g = named_comb_tree((6, 6))