21638916092

Committed 03 Feb 2026 04:42PM UTC coverage: 25.939% (-71.1%) from 97.034%

Build # 21638916092

Build Type

Pull #2754

github

Committed by

web-flow

Commit Message

Merge ee9b4b1c0 into ead0db32a

Pull Request Pull Request #2754: `VolumeIntegralAdaptive` with `IndicatorEntropyChange`

Run Details

0 of 83 new or added lines in 6 files covered. (0.0%)

31545 existing lines in 536 files now uncovered.

11563 of 44578 relevant lines covered (25.94%)

469675.74 hits per line

Source File
Press 'n' to go to next uncovered line, 'b' for previous

0.0

/examples/t8code_2d_dgsem/elixir_euler_source_terms_nonconforming_unstructured_flag.jl

using OrdinaryDiffEqLowStorageRK
using Trixi

###############################################################################
# semidiscretization of the compressible Euler equations

equations = CompressibleEulerEquations2D(1.4)

initial_condition = initial_condition_convergence_test

source_terms = source_terms_convergence_test

# BCs must be passed as Dict
boundary_condition = BoundaryConditionDirichlet(initial_condition)
boundary_conditions = Dict(:all => boundary_condition)

# Up to version 0.13.0, `max_abs_speed_naive` was used as the default wave speed estimate of
# `const flux_lax_friedrichs = FluxLaxFriedrichs(), i.e., `FluxLaxFriedrichs(max_abs_speed = max_abs_speed_naive)`.
# In the `StepsizeCallback`, though, the less diffusive `max_abs_speeds` is employed which is consistent with `max_abs_speed`.
# Thus, we exchanged in PR#2458 the default wave speed used in the LLF flux to `max_abs_speed`.
# To ensure that every example still runs we specify explicitly `FluxLaxFriedrichs(max_abs_speed_naive)`.
# We remark, however, that the now default `max_abs_speed` is in general recommended due to compliance with the 
# `StepsizeCallback` (CFL-Condition) and less diffusion.
solver = DGSEM(polydeg = 3, surface_flux = FluxLaxFriedrichs(max_abs_speed_naive))

# Deformed rectangle that looks like a waving flag,
# lower and upper faces are sinus curves, left and right are vertical lines.
f1(s) = SVector(-1.0, s - 1.0)
f2(s) = SVector(1.0, s + 1.0)
f3(s) = SVector(s, -1.0 + sin(0.5 * pi * s))
f4(s) = SVector(s, 1.0 + sin(0.5 * pi * s))
faces = (f1, f2, f3, f4)

Trixi.validate_faces(faces)
mapping_flag = Trixi.transfinite_mapping(faces)

# Get the uncurved mesh from a file (downloads the file if not available locally)
# Unstructured mesh with 24 cells of the square domain [-1, 1]^n
mesh_file = Trixi.download("https://gist.githubusercontent.com/efaulhaber/63ff2ea224409e55ee8423b3a33e316a/raw/7db58af7446d1479753ae718930741c47a3b79b7/square_unstructured_2.inp",
                           joinpath(@__DIR__, "square_unstructured_2.inp"))

mesh = T8codeMesh(mesh_file, 2; polydeg = 3,
                  mapping = mapping_flag,
                  initial_refinement_level = 1)

function adapt_callback(forest, ltreeid, eclass_scheme, lelemntid, elements, is_family,
                        user_data)
    vertex = Vector{Cdouble}(undef, 3)

    Trixi.t8_element_vertex_reference_coords(eclass_scheme, elements[1], 0, pointer(vertex))

    level = Trixi.t8_element_level(eclass_scheme, elements[1])

    # TODO: Make this condition more general.
    if vertex[1] < 1e-8 && vertex[2] < 1e-8 && level < 2
        # return true (refine)
        return 1
    else
        # return false (don't refine)
        return 0
    end
end

Trixi.adapt!(mesh, adapt_callback)

semi = SemidiscretizationHyperbolic(mesh, equations, initial_condition, solver,
                                    source_terms = source_terms,
                                    boundary_conditions = boundary_conditions)

###############################################################################
# ODE solvers, callbacks etc.

tspan = (0.0, 1.0)
ode = semidiscretize(semi, tspan)

summary_callback = SummaryCallback()

analysis_interval = 100
analysis_callback = AnalysisCallback(semi, interval = analysis_interval)

alive_callback = AliveCallback(analysis_interval = analysis_interval)

save_restart = SaveRestartCallback(interval = 100,
                                   save_final_restart = true)

save_solution = SaveSolutionCallback(interval = 100,
                                     save_initial_solution = true,
                                     save_final_solution = true,
                                     solution_variables = cons2prim)

stepsize_callback = StepsizeCallback(cfl = 0.8)

callbacks = CallbackSet(summary_callback,
                        analysis_callback, alive_callback,
                        save_restart, save_solution,
                        stepsize_callback)
###############################################################################
# run the simulation

sol = solve(ode, CarpenterKennedy2N54(williamson_condition = false);
            dt = 1.0, # solve needs some value here but it will be overwritten by the stepsize_callback
            ode_default_options()..., callback = callbacks);

1	using OrdinaryDiffEqLowStorageRK
2	using Trixi
3
4	###############################################################################
5	# semidiscretization of the compressible Euler equations
6
7	equations = CompressibleEulerEquations2D(1.4)
8
9	initial_condition = initial_condition_convergence_test
10
11	source_terms = source_terms_convergence_test
12
13	# BCs must be passed as Dict
14	boundary_condition = BoundaryConditionDirichlet(initial_condition)
15	boundary_conditions = Dict(:all => boundary_condition)
16
17	# Up to version 0.13.0, `max_abs_speed_naive` was used as the default wave speed estimate of
18	# `const flux_lax_friedrichs = FluxLaxFriedrichs(), i.e., `FluxLaxFriedrichs(max_abs_speed = max_abs_speed_naive)`.
19	# In the `StepsizeCallback`, though, the less diffusive `max_abs_speeds` is employed which is consistent with `max_abs_speed`.
20	# Thus, we exchanged in PR#2458 the default wave speed used in the LLF flux to `max_abs_speed`.
21	# To ensure that every example still runs we specify explicitly `FluxLaxFriedrichs(max_abs_speed_naive)`.
22	# We remark, however, that the now default `max_abs_speed` is in general recommended due to compliance with the
23	# `StepsizeCallback` (CFL-Condition) and less diffusion.
24	solver = DGSEM(polydeg = 3, surface_flux = FluxLaxFriedrichs(max_abs_speed_naive))
25
26	# Deformed rectangle that looks like a waving flag,
27	# lower and upper faces are sinus curves, left and right are vertical lines.
UNCOV 28	f1(s) = SVector(-1.0, s - 1.0)	×
UNCOV 29	f2(s) = SVector(1.0, s + 1.0)	×
UNCOV 30	f3(s) = SVector(s, -1.0 + sin(0.5 * pi * s))	×
UNCOV 31	f4(s) = SVector(s, 1.0 + sin(0.5 * pi * s))	×
32	faces = (f1, f2, f3, f4)
33
34	Trixi.validate_faces(faces)
35	mapping_flag = Trixi.transfinite_mapping(faces)
36
37	# Get the uncurved mesh from a file (downloads the file if not available locally)
38	# Unstructured mesh with 24 cells of the square domain [-1, 1]^n
39	mesh_file = Trixi.download("https://gist.githubusercontent.com/efaulhaber/63ff2ea224409e55ee8423b3a33e316a/raw/7db58af7446d1479753ae718930741c47a3b79b7/square_unstructured_2.inp",
40	joinpath(@__DIR__, "square_unstructured_2.inp"))
41
42	mesh = T8codeMesh(mesh_file, 2; polydeg = 3,
43	mapping = mapping_flag,
44	initial_refinement_level = 1)
45
UNCOV 46	function adapt_callback(forest, ltreeid, eclass_scheme, lelemntid, elements, is_family,	×
47	user_data)
UNCOV 48	vertex = Vector{Cdouble}(undef, 3)	×
49
UNCOV 50	Trixi.t8_element_vertex_reference_coords(eclass_scheme, elements[1], 0, pointer(vertex))	×
51
UNCOV 52	level = Trixi.t8_element_level(eclass_scheme, elements[1])	×
53
54	# TODO: Make this condition more general.
UNCOV 55	if vertex[1] < 1e-8 && vertex[2] < 1e-8 && level < 2	×
56	# return true (refine)
UNCOV 57	return 1	×
58	else
59	# return false (don't refine)
UNCOV 60	return 0	×
61	end
62	end
63
64	Trixi.adapt!(mesh, adapt_callback)
65
66	semi = SemidiscretizationHyperbolic(mesh, equations, initial_condition, solver,
67	source_terms = source_terms,
68	boundary_conditions = boundary_conditions)
69
70	###############################################################################
71	# ODE solvers, callbacks etc.
72
73	tspan = (0.0, 1.0)
74	ode = semidiscretize(semi, tspan)
75
76	summary_callback = SummaryCallback()
77
78	analysis_interval = 100
79	analysis_callback = AnalysisCallback(semi, interval = analysis_interval)
80
81	alive_callback = AliveCallback(analysis_interval = analysis_interval)
82
83	save_restart = SaveRestartCallback(interval = 100,
84	save_final_restart = true)
85
86	save_solution = SaveSolutionCallback(interval = 100,
87	save_initial_solution = true,
88	save_final_solution = true,
89	solution_variables = cons2prim)
90
91	stepsize_callback = StepsizeCallback(cfl = 0.8)
92
93	callbacks = CallbackSet(summary_callback,
94	analysis_callback, alive_callback,
95	save_restart, save_solution,
96	stepsize_callback)
97	###############################################################################
98	# run the simulation
99
100	sol = solve(ode, CarpenterKennedy2N54(williamson_condition = false);
101	dt = 1.0, # solve needs some value here but it will be overwritten by the stepsize_callback
102	ode_default_options()..., callback = callbacks);

trixi-framework / Trixi.jl / 21638916092

Source File Press 'n' to go to next uncovered line, 'b' for previous

Source File
Press 'n' to go to next uncovered line, 'b' for previous