Refactor interfaces built around alternating update #247
Annotations
2 errors and 10 warnings
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src/solvers/eigsolve.jl#L23
[JuliaFormatter] reported by reviewdog 🐶
Raw Output:
src/solvers/eigsolve.jl:23:- which, updater_kwargs = _pop_which_eigenvalue(;updater_kwargs...)
src/solvers/eigsolve.jl:23:+ which, updater_kwargs = _pop_which_eigenvalue(; updater_kwargs...)
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src/solvers/eigsolve.jl#L29
[JuliaFormatter] reported by reviewdog 🐶
Raw Output:
src/solvers/eigsolve.jl:29:- updater_kwargs... #this leaves it
src/solvers/eigsolve.jl:29:+ updater_kwargs..., #this leaves it
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src/solvers/eigsolve.jl#L34
[JuliaFormatter] reported by reviewdog 🐶
Raw Output:
src/solvers/eigsolve.jl:34:-function _pop_which_eigenvalue(;which_eigenvalue, kwargs...)
src/solvers/eigsolve.jl:34:+function _pop_which_eigenvalue(; which_eigenvalue, kwargs...)
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src/solvers/eigsolve.jl#L36
[JuliaFormatter] reported by reviewdog 🐶
Raw Output:
src/solvers/eigsolve.jl:36:-end
src/solvers/eigsolve.jl:36:+end
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src/solvers/exponentiate.jl#L21
[JuliaFormatter] reported by reviewdog 🐶
Raw Output:
src/solvers/exponentiate.jl:21:-
src/solvers/exponentiate.jl:21:+
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src/solvers/exponentiate.jl#L24
[JuliaFormatter] reported by reviewdog 🐶
Raw Output:
src/solvers/exponentiate.jl:24:- projected_operator![],
src/solvers/exponentiate.jl:25:- region_kwargs.time_step,
src/solvers/exponentiate.jl:26:- init;
src/solvers/exponentiate.jl:27:- updater_kwargs...
src/solvers/exponentiate.jl:24:+ projected_operator![], region_kwargs.time_step, init; updater_kwargs...
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src/treetensornetworks/solvers/alternating_update.jl#L68
[JuliaFormatter] reported by reviewdog 🐶
Raw Output:
src/treetensornetworks/solvers/alternating_update.jl:68:- sweep_params=(;
src/treetensornetworks/solvers/alternating_update.jl:69:- maxdim=maxdim[which_sweep],
src/treetensornetworks/solvers/alternating_update.jl:70:- mindim=mindim[which_sweep],
src/treetensornetworks/solvers/alternating_update.jl:71:- cutoff=cutoff[which_sweep],
src/treetensornetworks/solvers/alternating_update.jl:72:- noise=noise[which_sweep],
src/treetensornetworks/solvers/alternating_update.jl:68:+ sweep_params = (;
src/treetensornetworks/solvers/alternating_update.jl:69:+ maxdim=maxdim[which_sweep],
src/treetensornetworks/solvers/alternating_update.jl:70:+ mindim=mindim[which_sweep],
src/treetensornetworks/solvers/alternating_update.jl:71:+ cutoff=cutoff[which_sweep],
src/treetensornetworks/solvers/alternating_update.jl:72:+ noise=noise[which_sweep],
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src/treetensornetworks/solvers/tdvp.jl#L75
[JuliaFormatter] reported by reviewdog 🐶
Raw Output:
src/treetensornetworks/solvers/tdvp.jl:75:- sweep_plan = tdvp_sweep_plan(order, nsites, time_step, init_state; root_vertex, reverse_step)
src/treetensornetworks/solvers/tdvp.jl:75:+ sweep_plan = tdvp_sweep_plan(
src/treetensornetworks/solvers/tdvp.jl:76:+ order, nsites, time_step, init_state; root_vertex, reverse_step
src/treetensornetworks/solvers/tdvp.jl:77:+ )
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src/treetensornetworks/solvers/tdvp.jl#L91
[JuliaFormatter] reported by reviewdog 🐶
Raw Output:
src/treetensornetworks/solvers/tdvp.jl:91:- updater, operator, init_state; nsweeps, sweep_observer!, sweep_plan, updater_kwargs, kwargs...
src/treetensornetworks/solvers/tdvp.jl:93:+ updater,
src/treetensornetworks/solvers/tdvp.jl:94:+ operator,
src/treetensornetworks/solvers/tdvp.jl:95:+ init_state;
src/treetensornetworks/solvers/tdvp.jl:96:+ nsweeps,
src/treetensornetworks/solvers/tdvp.jl:97:+ sweep_observer!,
src/treetensornetworks/solvers/tdvp.jl:98:+ sweep_plan,
src/treetensornetworks/solvers/tdvp.jl:99:+ updater_kwargs,
src/treetensornetworks/solvers/tdvp.jl:100:+ kwargs...,
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src/treetensornetworks/solvers/tdvp.jl#L118
[JuliaFormatter] reported by reviewdog 🐶
Raw Output:
src/treetensornetworks/solvers/tdvp.jl:118:-function tdvp(operator, t::Number, init_state::AbstractTTN; updater=exponentiate_updater, kwargs...)
src/treetensornetworks/solvers/tdvp.jl:127:+function tdvp(
src/treetensornetworks/solvers/tdvp.jl:128:+ operator, t::Number, init_state::AbstractTTN; updater=exponentiate_updater, kwargs...
src/treetensornetworks/solvers/tdvp.jl:129:+)
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