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print #230

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2 changes: 2 additions & 0 deletions Project.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -12,6 +12,7 @@ GridapGmsh = "3025c34a-b394-11e9-2a55-3fee550c04c8"
GridapSolvers = "6d3209ee-5e3c-4db7-a716-942eb12ed534"
IterativeSolvers = "42fd0dbc-a981-5370-80f2-aaf504508153"
LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
StaticArrays = "90137ffa-7385-5640-81b9-e52037218182"
WriteVTK = "64499a7a-5c06-52f2-abe2-ccb03c286192"

Expand All @@ -35,6 +36,7 @@ GridapSolvers = "0.6, 0.7"
IterativeSolvers = "0.9"
LinearAlgebra = "1.10"
PartitionedArrays = "≥0.3"
Printf = "1.11.0"
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@miguelmaso miguelmaso Sep 1, 2026

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Suggested change
Printf = "1.11.0"
Printf = "1.10"

StaticArrays = "1.9"
WriteVTK = "1.21"
julia = "1.10"
1 change: 1 addition & 0 deletions src/ComputationalModels/ComputationalModels.jl
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Expand Up @@ -18,6 +18,7 @@ using GridapSolvers.SolverInterfaces: finished, print_message, converged

using LinearAlgebra
using WriteVTK
using Printf

using GridapGmsh
using GridapGmsh: GmshDiscreteModel
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10 changes: 5 additions & 5 deletions src/ComputationalModels/Drivers.jl
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Expand Up @@ -55,9 +55,9 @@ function solve!(m::StaggeredModel;
flagconv = 1 # convergence flag 0 (max bisections) 1 (max steps)
∆τ = 1.0 / nsteps
for τ in 0:nsteps-1
println("*******************************************")
println(" Staggered Step: $τ ")
println("*******************************************")
printstyled(@sprintf("*******************************************\n"), color=:green, bold=true)
printstyled(@sprintf(" Staggered Step: %i \n", τ), color=:green, bold=true)
printstyled(@sprintf("*******************************************\n"), color=:green, bold=true)
presolver(τ, ∆τ)
τ⁻=evolτ(τ*∆τ)
τ⁺=evolτ((τ+1)*∆τ)
Expand Down Expand Up @@ -177,7 +177,7 @@ function solve!(m::StaticNonlinearModel;
nbisect += 1
# @assert(nbisect <= stepping[:maxbisec], "Maximum number of bisections reached")
else
print_message(nls.log, "\nSTEP: $Λ_, Λ: $Λ\n")
print_message(nls.log, sprint(io -> printstyled(io, @sprintf("\nSTEP: %i, Λ: %.3f\n", Λ_, Λ); color=:green, bold=true)))
Λ_ += 1
# Write to PVD
post(Λ)
Expand Down Expand Up @@ -353,7 +353,7 @@ function solve!(m::DynamicNonlinearModel;

update_velocity!(m.velocity.vh, x, x⁻, Δt)
x⁻ .= x
print_message(nls.log, "\nStep: $itime, Time: $t\n")
print_message(nls.log, sprint(io -> printstyled(io, @sprintf("\nStep: %i, Time: %.3f s\n", itime, t); color=:green, bold=true)))
post(t)


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