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added missing prefixes for non-exported Trixi functions and fixed sig…
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…nature in SemidiscretizationHyperbolic constructor
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tristanmontoya committed Aug 16, 2024
1 parent 302acc5 commit da79bbc
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29 changes: 29 additions & 0 deletions out/analysis.dat
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#timestep time dt l2_rho l2_rho_v1 l2_rho_v2 l2_rho_v3 l2_rho_e linf_rho linf_rho_v1 linf_rho_v2 linf_rho_v3 linf_rho_e cons_rho cons_rho_v1 cons_rho_v2 cons_rho_v3 cons_rho_e dsdu_ut density
0 0.00000000e+00 1.00000000e+00 2.21887283e-03 2.28866191e-03 3.01124498e-04 0.00000000e+00 1.14602158e-03 4.05099281e-02 4.22895068e-02 3.41171134e-03 0.00000000e+00 2.11674389e-02 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00 -4.29373949e-17 1.02565822e+00
10 1.17959017e-01 1.17957297e-02 5.59069803e-02 5.43542813e-02 1.15111209e-02 0.00000000e+00 2.95945890e-03 4.37469168e-01 4.32224474e-01 9.61664060e-02 0.00000000e+00 4.02411171e-02 7.99360578e-15 1.27497417e-16 8.17786679e-17 0.00000000e+00 9.15045817e-11 1.65299789e-02 1.02565822e+00
20 2.35912555e-01 1.17950313e-02 1.01571488e-01 9.79594331e-02 2.42696966e-02 0.00000000e+00 8.89125220e-03 7.49898908e-01 7.48028165e-01 2.17024358e-01 0.00000000e+00 8.87253699e-02 1.11022302e-15 7.04201601e-17 1.20030050e-16 0.00000000e+00 6.07473627e-10 1.90890546e-02 1.02565822e+00
30 3.53860382e-01 1.17946859e-02 1.32071159e-01 1.25647151e-01 3.78442234e-02 0.00000000e+00 1.59307519e-02 9.12442879e-01 9.12130077e-01 3.46756033e-01 0.00000000e+00 1.54013321e-01 5.10702591e-15 1.74540534e-17 1.40193235e-16 0.00000000e+00 2.10639239e-09 1.05162812e-02 1.02565822e+00
40 4.71808445e-01 1.17949633e-02 1.48364011e-01 1.38358170e-01 5.08716650e-02 0.00000000e+00 2.24206250e-02 9.86241248e-01 9.86108938e-01 4.53584824e-01 0.00000000e+00 2.03371534e-01 2.22044605e-15 4.22288010e-17 5.20990121e-17 0.00000000e+00 3.02267589e-09 3.54263190e-03 1.02565822e+00
50 5.89760168e-01 1.17953205e-02 1.55413880e-01 1.41130711e-01 6.26583321e-02 0.00000000e+00 2.77970853e-02 1.00211933e+00 1.00207498e+00 5.35323624e-01 0.00000000e+00 2.41957961e-01 1.77635684e-15 3.64740538e-17 1.62685927e-16 0.00000000e+00 3.65847175e-09 9.37792620e-04 1.02565822e+00
60 7.07714490e-01 1.17954890e-02 1.57766320e-01 1.38688262e-01 7.30553308e-02 0.00000000e+00 3.23625881e-02 1.00438396e+00 1.00436597e+00 6.33390819e-01 0.00000000e+00 2.78231799e-01 3.55271368e-15 9.26195073e-18 8.36207047e-17 0.00000000e+00 4.15928447e-09 -4.74287654e-04 1.02565822e+00
70 8.25668382e-01 1.17951944e-02 1.58236799e-01 1.34033971e-01 8.21772418e-02 0.00000000e+00 3.65313771e-02 9.98192634e-01 9.98224107e-01 6.97316795e-01 0.00000000e+00 3.12382544e-01 3.33066907e-15 2.56936090e-17 1.04603531e-16 0.00000000e+00 3.62623620e-09 -2.90798790e-06 1.02565822e+00
80 9.43614598e-01 1.17940348e-02 1.58288352e-01 1.28844814e-01 9.01799878e-02 0.00000000e+00 4.03860311e-02 9.96745195e-01 9.96776057e-01 7.60986844e-01 0.00000000e+00 3.43287059e-01 1.11022302e-15 7.79522355e-18 6.04162180e-17 0.00000000e+00 2.22373187e-09 -1.10192571e-04 1.02565822e+00
90 1.06154694e+00 1.17926351e-02 1.58172874e-01 1.23750957e-01 9.68691593e-02 0.00000000e+00 4.40577379e-02 9.98593718e-01 9.98606628e-01 8.51654057e-01 0.00000000e+00 3.70212737e-01 2.66453526e-15 1.37354686e-16 1.03309360e-16 0.00000000e+00 7.19402315e-10 -5.15325155e-04 1.02565822e+00
100 1.17946873e+00 1.17919254e-02 1.58162755e-01 1.19269844e-01 1.02315591e-01 0.00000000e+00 4.75578268e-02 9.99040616e-01 9.99054259e-01 8.74433535e-01 0.00000000e+00 3.91986046e-01 1.33226763e-15 1.47880611e-17 9.07645288e-17 0.00000000e+00 1.13343601e-09 2.38183815e-04 1.02565822e+00
110 1.29738674e+00 1.17917290e-02 1.58221324e-01 1.15700820e-01 1.06418599e-01 0.00000000e+00 5.07949374e-02 1.00063750e+00 1.00064252e+00 8.80184142e-01 0.00000000e+00 4.08784736e-01 6.66133815e-16 1.71175689e-17 1.91537314e-17 0.00000000e+00 3.21951665e-09 -4.22270774e-04 1.02565822e+00
120 1.41530330e+00 1.17916015e-02 1.58156700e-01 1.13198409e-01 1.08986232e-01 0.00000000e+00 5.38080295e-02 1.00180856e+00 1.00180763e+00 9.50084277e-01 0.00000000e+00 4.21735079e-01 2.22044605e-16 2.54735999e-17 2.91188484e-18 0.00000000e+00 5.02859177e-09 -3.24120283e-04 1.02565822e+00
130 1.53321891e+00 1.17915307e-02 1.58149514e-01 1.12008824e-01 1.10193910e-01 0.00000000e+00 5.65409556e-02 1.00062161e+00 1.00063124e+00 9.23202832e-01 0.00000000e+00 4.37794857e-01 3.77475828e-15 5.07875854e-17 8.72918365e-17 0.00000000e+00 6.58459598e-09 1.00716037e-04 1.02565822e+00
140 1.65113302e+00 1.17912436e-02 1.58083965e-01 1.12229848e-01 1.09878255e-01 0.00000000e+00 5.89819050e-02 9.99674538e-01 9.99688916e-01 9.14233553e-01 0.00000000e+00 4.58133734e-01 3.10862447e-15 7.43328705e-17 6.52995567e-17 0.00000000e+00 7.54776330e-09 -5.06180540e-04 1.02565822e+00
150 1.76904155e+00 1.17904791e-02 1.57965751e-01 1.13858085e-01 1.08021367e-01 0.00000000e+00 6.11882495e-02 9.99651223e-01 9.99662604e-01 9.17552948e-01 0.00000000e+00 4.74900538e-01 7.54951657e-15 7.02001510e-17 1.79846635e-17 0.00000000e+00 7.87135246e-09 -8.52228487e-05 1.02565822e+00
160 1.88694179e+00 1.17897026e-02 1.57952700e-01 1.16785929e-01 1.04827588e-01 0.00000000e+00 6.31153732e-02 9.99448077e-01 9.99460371e-01 8.76570965e-01 0.00000000e+00 4.87990135e-01 2.44249065e-15 3.97224231e-17 1.74730346e-16 0.00000000e+00 8.01402278e-09 -1.82428587e-04 1.02565822e+00
170 2.00483672e+00 1.17893921e-02 1.57886318e-01 1.20743165e-01 1.00146311e-01 0.00000000e+00 6.48080196e-02 9.99625575e-01 9.99637567e-01 8.33457175e-01 0.00000000e+00 4.97340718e-01 3.10862447e-15 7.26116230e-17 3.23715316e-17 0.00000000e+00 7.98946376e-09 -1.00408346e-03 1.02565822e+00
180 2.12273035e+00 1.17893479e-02 1.57825876e-01 1.25402706e-01 9.41459395e-02 0.00000000e+00 6.64306562e-02 1.00037547e+00 1.00038268e+00 7.81691163e-01 0.00000000e+00 5.02895538e-01 5.77315973e-15 2.06635976e-17 9.80205144e-17 0.00000000e+00 8.08046074e-09 -3.02800350e-03 1.02565822e+00
190 2.24062341e+00 1.17892566e-02 1.57772538e-01 1.30412456e-01 8.69791355e-02 0.00000000e+00 6.83279770e-02 1.00017305e+00 1.00017842e+00 7.22640337e-01 0.00000000e+00 5.04670250e-01 1.99840144e-15 1.76356687e-16 1.40762670e-17 0.00000000e+00 8.69900285e-09 -9.98359526e-03 1.02565822e+00
200 2.35851496e+00 1.17890522e-02 1.57506603e-01 1.35353801e-01 7.85519599e-02 0.00000000e+00 7.08713449e-02 9.98051324e-01 9.98068666e-01 6.54516519e-01 0.00000000e+00 5.03022483e-01 3.77475828e-15 2.96796558e-18 2.37092134e-17 0.00000000e+00 9.97178562e-09 -1.78194173e-02 1.02565822e+00
210 2.47640366e+00 1.17886996e-02 1.56593089e-01 1.39437637e-01 6.90281341e-02 0.00000000e+00 7.36017968e-02 9.98899882e-01 9.98922960e-01 5.87667211e-01 0.00000000e+00 4.99007900e-01 4.66293670e-15 2.00510233e-16 1.13645473e-16 0.00000000e+00 1.20869870e-08 -1.73430576e-02 1.02565822e+00
220 2.59428838e+00 1.17882961e-02 1.52932306e-01 1.40361070e-01 5.82115350e-02 0.00000000e+00 7.51498106e-02 1.00583710e+00 1.00576966e+00 4.89629575e-01 0.00000000e+00 4.93767866e-01 6.88338275e-15 2.15306922e-17 1.45296582e-16 0.00000000e+00 1.47949013e-08 -4.60899255e-03 1.02565822e+00
230 2.71216986e+00 1.17880597e-02 1.42512569e-01 1.33903667e-01 4.60485711e-02 0.00000000e+00 7.43394094e-02 9.78351888e-01 9.78100988e-01 4.03530605e-01 0.00000000e+00 4.85559349e-01 2.22044605e-16 1.30474010e-16 2.12675441e-17 0.00000000e+00 1.77977575e-08 1.30241400e-02 1.02565822e+00
240 2.83005013e+00 1.17880235e-02 1.20689176e-01 1.15235619e-01 3.31695326e-02 0.00000000e+00 7.12706002e-02 8.33721039e-01 8.31542222e-01 3.01986839e-01 0.00000000e+00 4.68672781e-01 5.10702591e-15 1.41879971e-16 2.22166028e-18 0.00000000e+00 2.10945532e-08 1.96079306e-02 1.02565822e+00
250 2.94793075e+00 1.17881106e-02 8.46098361e-02 8.16106195e-02 2.01924941e-02 0.00000000e+00 6.75017203e-02 6.04081377e-01 6.02713724e-01 1.82438027e-01 0.00000000e+00 4.41376718e-01 5.77315973e-15 7.09335146e-17 7.72749527e-17 0.00000000e+00 2.44170892e-08 1.31036691e-02 1.02565822e+00
260 3.06581271e+00 1.17882672e-02 3.65399175e-02 3.54577576e-02 7.85631142e-03 0.00000000e+00 6.49318853e-02 2.88054571e-01 2.79194666e-01 6.87296186e-02 0.00000000e+00 4.15726735e-01 2.22044605e-15 1.97835613e-17 4.75305883e-17 0.00000000e+00 2.74742189e-08 5.20864152e-03 1.02565822e+00
267 3.14159265e+00 5.05008563e-03 8.44505073e-03 8.23414117e-03 1.84210648e-03 0.00000000e+00 6.44302430e-02 9.48950488e-02 9.64811952e-02 1.37453400e-02 0.00000000e+00 4.09322999e-01 2.66453526e-15 4.85616112e-17 7.76977152e-17 0.00000000e+00 2.91744700e-08 2.06024550e-03 1.02565822e+00
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Original file line number Diff line number Diff line change
Expand Up @@ -18,7 +18,7 @@ function Trixi.SemidiscretizationHyperbolic(mesh::P4estMesh{2},
_boundary_conditions = Trixi.digest_boundary_conditions(boundary_conditions, mesh,
solver,
cache)
performance_counter = Trixi.PerformanceCounter()
#performance_counter = Trixi.PerformanceCounter()

SemidiscretizationHyperbolic{typeof(mesh), typeof(equations),
typeof(initial_condition),
Expand All @@ -27,6 +27,5 @@ function Trixi.SemidiscretizationHyperbolic(mesh::P4estMesh{2},
initial_condition,
_boundary_conditions,
source_terms, solver,
cache,
performance_counter)
cache)
end
2 changes: 1 addition & 1 deletion src/solvers/dgsem_p4est/dg.jl
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
# Extract contravariant vector Ja^i (i = index) as SVector
# This function dispatches on the type of contravariant_vectors
static2val(::Trixi.StaticInt{N}) where {N} = Val{N}()
@inline function get_contravariant_vector(index, contravariant_vectors::PtrArray,
@inline function Trixi.get_contravariant_vector(index, contravariant_vectors::PtrArray,
indices...)
SVector(ntuple(@inline(dim->contravariant_vectors[dim, index, indices...]),
static2val(static_size(contravariant_vectors, Trixi.StaticInt(1)))))
Expand Down
6 changes: 3 additions & 3 deletions src/solvers/dgsem_p4est/dg_2d_manifold_in_3d_cartesian.jl
Original file line number Diff line number Diff line change
Expand Up @@ -12,15 +12,15 @@
@unpack contravariant_vectors = cache.elements

for j in eachnode(dg), i in eachnode(dg)
u_node = get_node_vars(u, equations, dg, i, j, element)
u_node = Trixi.get_node_vars(u, equations, dg, i, j, element)

flux1 = flux(u_node, 1, equations)
flux2 = flux(u_node, 2, equations)
flux3 = flux(u_node, 3, equations)

# Compute the contravariant flux by taking the scalar product of the
# first contravariant vector Ja^1 and the flux vector
Ja11, Ja12, Ja13 = get_contravariant_vector(1, contravariant_vectors, i, j, element)
Ja11, Ja12, Ja13 = Trixi.get_contravariant_vector(1, contravariant_vectors, i, j, element)
contravariant_flux1 = Ja11 * flux1 + Ja12 * flux2 + Ja13 * flux3
for ii in eachnode(dg)
Trixi.multiply_add_to_node_vars!(du, alpha * derivative_dhat[ii, i],
Expand All @@ -30,7 +30,7 @@

# Compute the contravariant flux by taking the scalar product of the
# second contravariant vector Ja^2 and the flux vector
Ja21, Ja22, Ja23 = get_contravariant_vector(2, contravariant_vectors, i, j, element)
Ja21, Ja22, Ja23 = Trixi.get_contravariant_vector(2, contravariant_vectors, i, j, element)
contravariant_flux2 = Ja21 * flux1 + Ja22 * flux2 + Ja23 * flux3
for jj in eachnode(dg)
Trixi.multiply_add_to_node_vars!(du, alpha * derivative_dhat[jj, j],
Expand Down
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