unique_id_filter = []
# Compile
unique_id_filter.append('compile')
# Runtime
unique_id_filter.append('runtime.disc_space')
unique_id_filter.append('runtime.rexi')
unique_id_filter.append('runtime.simparams')
unique_id_filter.append('runtime.benchmark')
# Parallelization
unique_id_filter.append('parallelization')
jg.unique_id_filter = unique_id_filter
#
# Reference solution
if True:
#if False:
print("Reference")
tsm = ts_methods[0]
jg.parallelization.max_wallclock_seconds = ref_max_wallclock_seconds
SetupSpectralMethods(jg)
jg.runtime.timestep_size = 2 # second #jg.runtime.output_timestep_size/100.0
jg.runtime.timestepping_method = tsm[0]
jg.runtime.timestepping_order = tsm[1]
jg.runtime.timestepping_order2 = tsm[2]
jg.runtime.benchmark_name = 'benchmark_id_1'
jg.runtime.gravitation= 1
jg.runtime.sphere_rotating_coriolis_omega = 1
jg.runtime.h0 = 1
jg.runtime.plane_domain_size = 1
jg.runtime.rexi_method = 'direct'
jg.runtime.viscosity = 0.0
jg.runtime.max_simulation_time = 0.1
jg.runtime.output_timestep_size = jg.runtime.max_simulation_time
jg.unique_id_filter = ['compile', 'runtime.benchmark', 'runtime.simparams']
timestep_size_reference = 0.0001
timestep_sizes = [0.0001*(2.0**i) for i in range(0, 11)]
# Groups to execute, see below
# l: linear
# ln: linear and nonlinear
groups = ['l1', 'l2', 'ln1', 'ln2', 'ln4']
#groups = ['ln2test']
if len(sys.argv) > 1:
groups = [sys.argv[1]]
print("Groups: "+str(groups))
