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Fermionic OpSum to TTN constructor #238

Fermionic OpSum to TTN constructor

Fermionic OpSum to TTN constructor #238

Triggered via pull request January 12, 2024 22:37
Status Failure
Total duration 1m 10s
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2 errors and 10 warnings
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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
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Process completed with exit code 1.
format: src/models.jl#L18
[JuliaFormatter] reported by reviewdog 🐶 Raw Output: src/models.jl:18:-function tight_binding(g::AbstractGraph;t=1.0, tp=0.0, h::Union{<:Real,Vector{<:Real}}=0) src/models.jl:18:+function tight_binding(g::AbstractGraph; t=1.0, tp=0.0, h::Union{<:Real,Vector{<:Real}}=0)
format: src/models.jl#L47
[JuliaFormatter] reported by reviewdog 🐶 Raw Output: src/models.jl:47:- src/models.jl:48:-
format: src/treetensornetworks/opsum_to_ttn.jl#L7
[JuliaFormatter] reported by reviewdog 🐶 Raw Output: src/treetensornetworks/opsum_to_ttn.jl:7:-
format: src/treetensornetworks/opsum_to_ttn.jl#L148
[JuliaFormatter] reported by reviewdog 🐶 Raw Output: src/treetensornetworks/opsum_to_ttn.jl:148:- src/treetensornetworks/opsum_to_ttn.jl:147:+
format: src/treetensornetworks/opsum_to_ttn.jl#L158
[JuliaFormatter] reported by reviewdog 🐶 Raw Output: src/treetensornetworks/opsum_to_ttn.jl:158:- coutmap = get!(outmaps, edge_in => not_incoming_qn , Dict{Vector{Op},Int}()) src/treetensornetworks/opsum_to_ttn.jl:157:+ coutmap = get!(outmaps, edge_in => not_incoming_qn, Dict{Vector{Op},Int}())
format: src/treetensornetworks/opsum_to_ttn.jl#L160
[JuliaFormatter] reported by reviewdog 🐶 Raw Output: src/treetensornetworks/opsum_to_ttn.jl:160:- src/treetensornetworks/opsum_to_ttn.jl:159:+
format: src/treetensornetworks/opsum_to_ttn.jl#L169
[JuliaFormatter] reported by reviewdog 🐶 Raw Output: src/treetensornetworks/opsum_to_ttn.jl:169:- T_qns[dim_in] = -incoming_qn src/treetensornetworks/opsum_to_ttn.jl:168:+ T_qns[dim_in] = -incoming_qn
format: src/treetensornetworks/opsum_to_ttn.jl#L272
[JuliaFormatter] reported by reviewdog 🐶 Raw Output: src/treetensornetworks/opsum_to_ttn.jl:272:- block_helper_inds[d] = qnblock(linkinds[d], T_qns[d]) src/treetensornetworks/opsum_to_ttn.jl:271:+ block_helper_inds[d] = qnblock(linkinds[d], T_qns[d])
format: src/treetensornetworks/opsum_to_ttn.jl#L275
[JuliaFormatter] reported by reviewdog 🐶 Raw Output: src/treetensornetworks/opsum_to_ttn.jl:275:- src/treetensornetworks/opsum_to_ttn.jl:274:+
format: src/treetensornetworks/opsum_to_ttn.jl#L284
[JuliaFormatter] reported by reviewdog 🐶 Raw Output: src/treetensornetworks/opsum_to_ttn.jl:284:- dim_ranges = Tuple(size(Vv[d][T_qns[d]], 2) for d in normal_dims) src/treetensornetworks/opsum_to_ttn.jl:283:+ dim_ranges = Tuple(size(Vv[d][T_qns[d]], 2) for d in normal_dims)