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get rid of comments
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lib/NonlinearSolveBase/ext/NonlinearSolveBaseLinearSolveExt.jl

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@@ -22,12 +22,10 @@ function (cache::LinearSolveJLCache)(;
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linres = solve!(cache.lincache)
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cache.lincache = linres.cache
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#Main.@infiltrate
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# Unfortunately LinearSolve.jl doesn't have the most uniform ReturnCode handling
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if linres.retcode === ReturnCode.Failure || linres.retcode === ReturnCode.Stalled
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structured_mat = ArrayInterface.isstructured(cache.lincache.A)
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is_gpuarray = ArrayInterface.device(cache.lincache.A) isa ArrayInterface.GPU
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#Main.@infiltrate
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if !(cache.linsolve isa QRFactorization{ColumnNorm}) && !is_gpuarray &&
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!structured_mat
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if verbose

lib/NonlinearSolveBase/src/descent/newton.jl

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@@ -55,7 +55,6 @@ function InternalAPI.init(
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abstol = nothing, reltol = nothing,
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timer = get_timer_output(), kwargs...
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)
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#Main.@infiltrate
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length(fu) != length(u) &&
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@assert !Utils.unwrap_val(pre_inverted) "Precomputed Inverse for Non-Square Jacobian doesn't make sense."
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lib/NonlinearSolveBase/src/linear_solve.jl

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@@ -72,11 +72,9 @@ function construct_linear_solver(alg, linsolve, A, b, u; stats, kwargs...)
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u_fixed = fix_incompatible_linsolve_arguments(A, b, u)
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@bb u_cache = copy(u_fixed)
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linprob = LinearProblem(A, b; u0 = u_cache)
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#Main.@infiltrate
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# unlias here, we will later use these as caches
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lincache = init(
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linprob, linsolve; alias = LinearAliasSpecifier(alias_A = false, alias_b = false), kwargs...)
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#Main.@infiltrate
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return LinearSolveJLCache(lincache, linsolve, nothing, stats)
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end
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