def executeInstanceReadingFromFile_Wrapper(
current_index, pickled_model, pickled_project_parameters,
current_analysis, random_variable, time_for_qoi, mapping_flag,
pickled_mapping_reference_model, print_to_file, current_contribution):
if (current_index == 0):
qoi_and_time_list = executeInstanceReadingFromFileAuxLev0_Task(
pickled_model, pickled_project_parameters, current_analysis,
random_variable, time_for_qoi, mapping_flag,
pickled_mapping_reference_model, print_to_file, "filename_level_" +
str(current_index) + "_contribution_" + str(current_contribution) +
"_random_variable_" + str(random_variable[0]) + ".dat")
elif (current_index == 1):
qoi_and_time_list = executeInstanceReadingFromFileAuxLev1_Task(
pickled_model, pickled_project_parameters, current_analysis,
random_variable, time_for_qoi, mapping_flag,
pickled_mapping_reference_model, print_to_file, "filename_level_" +
str(current_index) + "_contribution_" + str(current_contribution) +
"_random_variable_" + str(random_variable[0]) + ".dat")
elif (current_index == 2):
qoi_and_time_list = executeInstanceReadingFromFileAuxLev2_Task(
pickled_model, pickled_project_parameters, current_analysis,
random_variable, time_for_qoi, mapping_flag,
pickled_mapping_reference_model, print_to_file, "filename_level_" +
str(current_index) + "_contribution_" + str(current_contribution) +
"_random_variable_" + str(random_variable[0]) + ".dat")
else:
raise Exception("Level not supported")
if IsDistributedRun():
# running with mpirun the whole xmc algorithm
qoi, time_for_qoi = UnfoldQT(qoi_and_time_list)
else:
# running with distributed environment framework, only Kratos tasks are run with mpi
qoi, time_for_qoi = UnfoldFutureQT(qoi_and_time_list)
return qoi, time_for_qoi
def SelectAndVerifyLinearSolver(settings, skiptest):
# The mechanical solver selects automatically the fastest linear-solver available
# this might not be appropriate for a test, therefore in case nothing is specified,
# the previous default linear-solver is set
if not settings["solver_settings"].Has("linear_solver_settings"):
# check if running in MPI because there we use a different default linear solver
if IsDistributedRun():
default_lin_solver_settings = KratosMultiphysics.Parameters("""{
"solver_type" : "amesos",
"amesos_solver_type" : "Amesos_Klu"
}""")
else:
default_lin_solver_settings = KratosMultiphysics.Parameters("""{
"solver_type": "EigenSolversApplication.sparse_lu"
}""")
settings["solver_settings"].AddValue("linear_solver_settings",
default_lin_solver_settings)
solver_type = settings["solver_settings"]["linear_solver_settings"][
"solver_type"].GetString()
solver_type_splitted = solver_type.split(".")
if len(solver_type_splitted) == 2:
# this means that we use a solver from an application
# hence we have to check if it exists, otherwise skip the test
app_name = solver_type_splitted[0]
solver_name = solver_type_splitted[1]
if not kratos_utils.CheckIfApplicationsAvailable(app_name):
skiptest(
'Application "{}" is needed for the specified solver "{}" but is not available'
.format(app_name, solver_name))
def setUp(self):
# Within this location context:
with KratosUnittest.WorkFolderScope(".", __file__):
# Reading the ProjectParameters
with open(self.file_name + "_parameters.json",
'r') as parameter_file:
ProjectParameters = KratosMultiphysics.Parameters(
parameter_file.read())
# The mechanical solver selects automatically the fastest linear-solver available
# this might not be appropriate for a test, therefore in case nothing is specified,
# the previous default linear-solver is set
if not ProjectParameters["solver_settings"].Has(
"linear_solver_settings"):
# check if running in MPI because there we use a different default linear solver
if IsDistributedRun():
default_lin_solver_settings = KratosMultiphysics.Parameters(
"""{
"solver_type" : "amesos",
"amesos_solver_type" : "Amesos_Klu"
}""")
else:
default_lin_solver_settings = KratosMultiphysics.Parameters(
"""{
"solver_type": "EigenSolversApplication.sparse_lu"
}""")
ProjectParameters["solver_settings"].AddValue(
"linear_solver_settings", default_lin_solver_settings)
solver_type = ProjectParameters["solver_settings"][
"linear_solver_settings"]["solver_type"].GetString()
solver_type_splitted = solver_type.split(".")
if len(solver_type_splitted) == 2:
# this means that we use a solver from an application
# hence we have to check if it exists, otherwise skip the test
app_name = solver_type_splitted[0]
solver_name = solver_type_splitted[1]
if not kratos_utils.CheckIfApplicationsAvailable(app_name):
self.skipTest(
'Application "{}" is needed for the specified solver "{}" but is not available'
.format(app_name, solver_name))
self.modify_parameters(ProjectParameters)
# To avoid many prints
if ProjectParameters["problem_data"]["echo_level"].GetInt() == 0:
KratosMultiphysics.Logger.GetDefaultOutput().SetSeverity(
KratosMultiphysics.Logger.Severity.WARNING)
else:
KratosMultiphysics.Logger.GetDefaultOutput().SetSeverity(
KratosMultiphysics.Logger.Severity.INFO)
# Creating the test
model = KratosMultiphysics.Model()
self.test = StructuralMechanicsAnalysis(model, ProjectParameters)
self.test.Initialize()
def GetKratosObjectType(type_name):
type_dict = {
"LinearSolverFactory": [
"KratosMultiphysics.python_linear_solver_factory.ConstructSolver",
"KratosMultiphysics.TrilinosApplication.trilinos_linear_solver_factory.ConstructSolver"
],
"ResidualBasedNewtonRaphsonStrategy": [
"KratosMultiphysics.ResidualBasedNewtonRaphsonStrategy",
"KratosMultiphysics.TrilinosApplication.TrilinosNewtonRaphsonStrategy"
],
"MixedGenericCriteria": [
"KratosMultiphysics.MixedGenericCriteria",
"KratosMultiphysics.TrilinosApplication.TrilinosMixedGenericCriteria"
],
"ResidualBasedIncrementalUpdateStaticScheme": [
"KratosMultiphysics.ResidualBasedIncrementalUpdateStaticScheme",
"KratosMultiphysics.TrilinosApplication.TrilinosResidualBasedIncrementalUpdateStaticScheme"
],
"SteadyScalarScheme": [
"KratosMultiphysics.RANSApplication.SteadyScalarScheme",
"KratosMultiphysics.RANSApplication.TrilinosExtension.MPISteadyScalarScheme"
],
"AlgebraicFluxCorrectedSteadyScalarScheme": [
"KratosMultiphysics.RANSApplication.AlgebraicFluxCorrectedSteadyScalarScheme",
"KratosMultiphysics.RANSApplication.TrilinosExtension.MPIAlgebraicFluxCorrectedSteadyScalarScheme"
],
"BossakRelaxationScalarScheme": [
"KratosMultiphysics.RANSApplication.BossakRelaxationScalarScheme",
"KratosMultiphysics.RANSApplication.TrilinosExtension.MPIBossakRelaxationScalarScheme"
],
"RansWallDistanceCalculationProcess": [
"KratosMultiphysics.RANSApplication.RansWallDistanceCalculationProcess",
"KratosMultiphysics.RANSApplication.TrilinosExtension.TrilinosRansWallDistanceCalculationProcess"
],
"ResidualBasedSimpleSteadyScheme": [
"KratosMultiphysics.FluidDynamicsApplication.ResidualBasedSimpleSteadyScheme",
"KratosMultiphysics.FluidDynamicsApplication.TrilinosExtension.TrilinosResidualBasedSimpleSteadyScheme"
],
"ResidualBasedPredictorCorrectorVelocityBossakSchemeTurbulent": [
"KratosMultiphysics.FluidDynamicsApplication.ResidualBasedPredictorCorrectorVelocityBossakSchemeTurbulent",
"KratosMultiphysics.FluidDynamicsApplication.TrilinosExtension.TrilinosPredictorCorrectorVelocityBossakSchemeTurbulent"
]
}
if (type_name not in type_dict.keys()):
raise Exception(
type_name +
" not found in type_dict. Followings are allowed type_names:\n\t" +
"\n\t".join(sorted(type_dict.keys())))
module_info = type_dict[type_name][IsDistributedRun()]
index = module_info.rfind(".")
module_name = module_info[:index]
attribute_name = module_info[index + 1:]
module = import_module(module_name)
return getattr(module, attribute_name)
def _CreateSolverSettings(self, *args):
if (self.IsPeriodic()):
solver_settings_type = GetKratosObjectPrototype("FractionalStepSettingsPeriodic")
else:
solver_settings_type = GetKratosObjectPrototype("FractionalStepSettings")
if (IsDistributedRun()):
return solver_settings_type(self.GetCommunicator(), *args)
else:
return solver_settings_type(*args)
def ImportModelPart(self):
if (IsDistributedRun()):
## Construct the MPI import model part utility
self.distributed_model_part_importer = DistributedImportModelPartUtility(
self.main_model_part, self.settings)
## Execute the Metis partitioning and reading
self.distributed_model_part_importer.ImportModelPart()
else:
# we can use the default implementation in the base class
self._ImportModelPart(self.main_model_part,
self.settings["model_import_settings"])
def AddVariables(self):
self.formulation.AddVariables()
if self.is_periodic:
self.main_model_part.AddNodalSolutionStepVariable(
KratosCFD.PATCH_INDEX)
if (IsDistributedRun()):
self.main_model_part.AddNodalSolutionStepVariable(
Kratos.PARTITION_INDEX)
Kratos.Logger.PrintInfo(self.__class__.__name__,
"Solver variables added correctly.")
def setUp(self):
# Within this location context:
with KratosUnittest.WorkFolderScope(".", __file__):
# Reading the ProjectParameters
with open(self.file_name + "_parameters.json",
'r') as parameter_file:
ProjectParameters = KratosMultiphysics.Parameters(
parameter_file.read())
# The mechanical solver selects automatically the fastest linear-solver available
# this might not be appropriate for a test, therefore in case nothing is specified,
# the previous default linear-solver is set
if not ProjectParameters["solver_settings"].Has(
"linear_solver_settings"):
# check if running in MPI because there we use a different default linear solver
if IsDistributedRun():
default_lin_solver_settings = KratosMultiphysics.Parameters(
"""{
"solver_type" : "amesos",
"amesos_solver_type" : "Amesos_Klu"
}""")
else:
default_lin_solver_settings = KratosMultiphysics.Parameters(
"""{
"solver_type": "ExternalSolversApplication.super_lu",
"max_iteration": 500,
"tolerance": 1e-9,
"scaling": false,
"symmetric_scaling": true,
"verbosity": 0
}""")
ProjectParameters["solver_settings"].AddValue(
"linear_solver_settings", default_lin_solver_settings)
self.modify_parameters(ProjectParameters)
# To avoid many prints
if ProjectParameters["problem_data"]["echo_level"].GetInt() == 0:
KratosMultiphysics.Logger.GetDefaultOutput().SetSeverity(
KratosMultiphysics.Logger.Severity.WARNING)
else:
KratosMultiphysics.Logger.GetDefaultOutput().SetSeverity(
KratosMultiphysics.Logger.Severity.INFO)
# Creating the test
model = KratosMultiphysics.Model()
self.test = StructuralMechanicsAnalysis(model, ProjectParameters)
self.test.Initialize()
def CreateBlockBuilderAndSolver(linear_solver, is_periodic, communicator):
if (IsDistributedRun()):
if (is_periodic):
return TrilinosBlockBuilderAndSolverPeriodic(
communicator, 30, linear_solver, KratosCFD.PATCH_INDEX)
else:
return TrilinosBlockBuilderAndSolver(communicator, 30,
linear_solver)
else:
if (is_periodic):
return ResidualBasedBlockBuilderAndSolverPeriodic(
linear_solver, KratosCFD.PATCH_INDEX)
else:
return ResidualBasedBlockBuilderAndSolver(linear_solver)
def executeInstanceStochasticAdaptiveRefinementAllAtOnce_Wrapper(
current_index, pickled_coarse_model, pickled_coarse_project_parameters,
pickled_custom_metric_refinement_parameters,
pickled_custom_remesh_refinement_parameters, random_variable,
current_analysis, time_for_qoi, mapping_flag,
adaptive_refinement_jump_to_finest_level, print_to_file,
current_contribution):
if (current_index == 0):
qoi_and_time_list = ExecuteInstanceStochasticAdaptiveRefinementAllAtOnceAuxLev0_Task(
current_index, pickled_coarse_model,
pickled_coarse_project_parameters,
pickled_custom_metric_refinement_parameters,
pickled_custom_remesh_refinement_parameters, random_variable,
current_analysis, time_for_qoi, mapping_flag,
adaptive_refinement_jump_to_finest_level, print_to_file,
"filename_level_" + str(current_index) + "_contribution_" +
str(current_contribution) + "_random_variable_" +
str(random_variable[0]) + ".dat")
elif (current_index == 1):
qoi_and_time_list = ExecuteInstanceStochasticAdaptiveRefinementAllAtOnceAuxLev1_Task(
current_index, pickled_coarse_model,
pickled_coarse_project_parameters,
pickled_custom_metric_refinement_parameters,
pickled_custom_remesh_refinement_parameters, random_variable,
current_analysis, time_for_qoi, mapping_flag,
adaptive_refinement_jump_to_finest_level, print_to_file,
"filename_level_" + str(current_index) + "_contribution_" +
str(current_contribution) + "_random_variable_" +
str(random_variable[0]) + ".dat")
elif (current_index == 2):
qoi_and_time_list = ExecuteInstanceStochasticAdaptiveRefinementAllAtOnceAuxLev2_Task(
current_index, pickled_coarse_model,
pickled_coarse_project_parameters,
pickled_custom_metric_refinement_parameters,
pickled_custom_remesh_refinement_parameters, random_variable,
current_analysis, time_for_qoi, mapping_flag,
adaptive_refinement_jump_to_finest_level, print_to_file,
"filename_level_" + str(current_index) + "_contribution_" +
str(current_contribution) + "_random_variable_" +
str(random_variable[0]) + ".dat")
else:
raise Exception("Level not supported")
if IsDistributedRun():
# running with mpirun the whole xmc algorithm
qoi, time_for_qoi = UnfoldQT(qoi_and_time_list)
else:
# running with distributed environment framework, only Kratos tasks are run with mpi
qoi, time_for_qoi = UnfoldFutureQT(qoi_and_time_list)
return qoi, time_for_qoi
def PrepareModelPart(self):
if not self.main_model_part.ProcessInfo[Kratos.IS_RESTARTED]:
## Set fluid properties from materials json file
materials_imported = self._SetPhysicalProperties()
if not materials_imported:
Kratos.Logger.PrintWarning(
self.__class__.__name__,
"Material properties have not been imported. Check \'material_import_settings\' in your ProjectParameters.json."
)
## Executes the check and prepare model process
self._ExecuteCheckAndPrepare()
## Set buffer size
self.main_model_part.SetBufferSize(self.min_buffer_size)
if (IsDistributedRun()):
self.distributed_model_part_importer.CreateCommunicators()
self.formulation.PrepareModelPart()
Kratos.Logger.PrintInfo(self.__class__.__name__,
"Model reading finished.")
def executeInstanceStochasticAdaptiveRefinementMultipleTasks_Wrapper(
current_index,
pickled_coarse_model,
pickled_coarse_project_parameters,
pickled_custom_metric_refinement_parameters,
pickled_custom_remesh_refinement_parameters,
random_variable,
current_local_index,
current_analysis,
time_for_qoi,
mapping_flag,
print_to_file,
current_contribution,
pickled_mapping_reference_model=None):
if (current_index == 0):
qoi_pickled_current_model_time_for_qoi_list = ExecuteInstanceStochasticAdaptiveRefinementMultipleTasksAuxLev0_Task(
current_index, pickled_coarse_model,
pickled_coarse_project_parameters,
pickled_custom_metric_refinement_parameters,
pickled_custom_remesh_refinement_parameters, random_variable,
current_local_index, current_analysis, time_for_qoi, mapping_flag,
pickled_mapping_reference_model, print_to_file, "filename_level_" +
str(current_index) + "_contribution_" + str(current_contribution) +
"_random_variable_" + str(random_variable[0]) + ".dat")
else:
# We cannot run with multiple tasks, since tasks of different levels are normally run with different number of processors,
# and when running with MPI the model should be pickled with the number of processes of the task.
# For example, if I want to run with MPI and 4 processes, I need to serialize within an MPI task of 4 processes.
raise Exception(
"Level not supported. You should set \"taskAllAtOnce\" to \"true\" to run multi-level algorithms with \"stochastic_adaptive_refinement\" as \"refinement_strategy\"."
)
if IsDistributedRun():
# running with mpirun the whole xmc algorithm
qoi, pickled_current_model, time_for_qoi = UnfoldQMT(
qoi_pickled_current_model_time_for_qoi_list)
else:
# running with distributed environment framework, only Kratos tasks are run with mpi
qoi, pickled_current_model, time_for_qoi = UnfoldFutureQMT(
qoi_pickled_current_model_time_for_qoi_list)
return qoi, pickled_current_model, time_for_qoi
def Initialize(self):
if (IsDistributedRun()):
self.EpetraComm = KratosTrilinos.CreateCommunicator()
self.formulation.SetCommunicator(self.EpetraComm)
else:
self.formulation.SetCommunicator(None)
self.main_model_part.ProcessInfo[Kratos.STEP] = 0
# If needed, create the estimate time step utility
if (self.settings["time_stepping"]["automatic_time_step"].GetBool()):
self.EstimateDeltaTimeUtility = self._GetAutomaticTimeSteppingUtility(
)
RansVariableUtilities.AssignBoundaryFlagsToGeometries(
self.main_model_part)
self.formulation.Initialize()
Kratos.Logger.PrintInfo(self.__class__.__name__,
self.formulation.GetInfo())
Kratos.Logger.PrintInfo(self.__class__.__name__,
"Solver initialization finished.")
def CreateStrategy(self, solver_settings, scheme_settings, model_part,
scalar_variable, scalar_variable_rate,
relaxed_scalar_variable_rate):
default_solver_settings = Kratos.Parameters(r'''{
"is_periodic" : false,
"relative_tolerance" : 1e-3,
"absolute_tolerance" : 1e-5,
"max_iterations" : 200,
"relaxation_factor" : 0.5,
"echo_level" : 0,
"linear_solver_settings": {
"solver_type" : "amgcl"
},
"reform_dofs_at_each_step": true,
"move_mesh_strategy": 0,
"move_mesh_flag": false,
"compute_reactions": false
}''')
default_scheme_settings = Kratos.Parameters(r'''{
"scheme_type": "bossak",
"alpha_bossak": -0.3
}''')
solver_settings.ValidateAndAssignDefaults(default_solver_settings)
scheme_settings.ValidateAndAssignDefaults(default_scheme_settings)
linear_solver = linear_solver_factory.ConstructSolver(
solver_settings["linear_solver_settings"])
is_periodic = solver_settings["is_periodic"].GetBool()
if is_periodic:
self.__InitializePeriodicConditions(model_part, scalar_variable)
# TODO:
if is_periodic and IsDistributedRun():
msg = "\nCurrently periodic conditions in mpi is not supported due to following reasons:\n\n"
msg += " 1. TrilinosResidualCriteria [ConvergenceCriterian]\n"
msg += "PeriodicConditions duplicates one patch's equation ids to the counter patch. "
msg += "The node and its corresponding dof might not fall in to the same partition raising an error in convergence calculation.\n\n"
msg += " 2. ConnectivityPreserveModeller\n"
msg += "Currently connectivity preserve modeller replaces all the conditions in an mdpa with given new condition. "
msg += "This modeller is used to create modelparts having k-epsilon elements and conditions while sharing the same nodes as in VMS solution. "
msg += "In the case of MPI, it is essential to have the PeriodicConditions in the mdpa file in order to properly distribute nodes to partitions using MetisApplication. "
msg += "But if this is the case, PeriodicConditions also will be replaced by k-epsilon specific conditions casuing a segmentation fault.\n"
msg += " 3. TrilinosBlockBuilderAndSolverPeriodic\n"
msg += "In the case of MPI periodic in 2D, problem uses TrilinosBlockBuilderAndSolverPeriodic block builder and solver, which identifies "
msg += "periodic conditions by number of nodes in the condition. So, In 2D all wall conditions and PeriodicConditions have only 2 nodes, all will be "
msg += "considered as PeriodicConditions and will make the global assembly accordingly which is wrong."
msg += "Therefore this error msg is printed in order to avoid confusion."
raise Exception(msg)
builder_and_solver = self.__CreateBuilderAndSolver(
linear_solver, is_periodic)
if (scheme_settings["scheme_type"].GetString() == "bossak"):
convergence_criteria_type = scalar_convergence_criteria
elif (scheme_settings["scheme_type"].GetString() == "steady"):
convergence_criteria_type = residual_criteria
convergence_criteria = convergence_criteria_type(
solver_settings["relative_tolerance"].GetDouble(),
solver_settings["absolute_tolerance"].GetDouble())
if (scheme_settings["scheme_type"].GetString() == "bossak"):
time_scheme = dynamic_scheme(
scheme_settings["alpha_bossak"].GetDouble(),
solver_settings["relaxation_factor"].GetDouble(),
scalar_variable, scalar_variable_rate,
relaxed_scalar_variable_rate)
elif (scheme_settings["scheme_type"].GetString() == "steady"):
time_scheme = steady_scheme(
solver_settings["relaxation_factor"].GetDouble())
self.fluid_model_part.ProcessInfo[
Kratos.
BOSSAK_ALPHA] = scheme_settings["alpha_bossak"].GetDouble()
self.fluid_model_part.ProcessInfo[
KratosRANS.IS_CO_SOLVING_PROCESS_ACTIVE] = True
if (self.fluid_model_part.ProcessInfo[Kratos.DYNAMIC_TAU] != 0.0):
Kratos.Logger.PrintWarning(
self.__class__.__name__,
"Steady solution doesn't have zero DYNAMIC_TAU [ DYNAMIC_TAU = "
+
str(self.fluid_model_part.ProcessInfo[Kratos.DYNAMIC_TAU])
+ " ].")
else:
raise Exception("Unknown scheme_type = \"" +
scheme_settings["scheme_type"] + "\"")
strategy = newton_raphson_strategy(
model_part, time_scheme, linear_solver, convergence_criteria,
builder_and_solver, solver_settings["max_iterations"].GetInt(),
solver_settings["compute_reactions"].GetBool(),
solver_settings["reform_dofs_at_each_step"].GetBool(),
solver_settings["move_mesh_flag"].GetBool())
strategy.SetEchoLevel(solver_settings["echo_level"].GetInt() - 2)
builder_and_solver.SetEchoLevel(
solver_settings["echo_level"].GetInt() - 3)
convergence_criteria.SetEchoLevel(
solver_settings["echo_level"].GetInt() - 1)
if (is_periodic):
Kratos.Logger.PrintInfo(
self.__class__.__name__,
"Successfully created periodic solving strategy for " +
scalar_variable.Name() + ".")
else:
Kratos.Logger.PrintInfo(
self.__class__.__name__,
"Successfully created solving strategy for " +
scalar_variable.Name() + ".")
return strategy
from __future__ import print_function, absolute_import, division #makes KratosMultiphysics backward compatible with python 2.6 and 2.7
from KratosMultiphysics.kratos_utilities import CheckIfApplicationsAvailable
from KratosMultiphysics import IsDistributedRun
from KratosMultiphysics.FluidDynamicsApplication.fluid_dynamics_analysis import FluidDynamicsAnalysis
if (IsDistributedRun() and CheckIfApplicationsAvailable("TrilinosApplication")):
from KratosMultiphysics.RANSApplication.trilinos_fluid_solver_no_replace import TrilinosFluidSolverNoReplace as fluid_solver_no_replace
elif (not IsDistributedRun()):
from KratosMultiphysics.RANSApplication.fluid_solver_no_replace import FluidSolverNoReplace as fluid_solver_no_replace
else:
raise Exception("Distributed run requires TrilinosApplication")
class PeriodicFluidDynamicsAnalysis(FluidDynamicsAnalysis):
def _CreateSolver(self):
return fluid_solver_no_replace(self.model, self.project_parameters["solver_settings"])
# Application dependent names and paths
from KratosMultiphysics import _ImportApplication
from KratosMultiphysics import IsDistributedRun
if IsDistributedRun():
import KratosMultiphysics.mpi # importing the MPI-Core
from KratosMeshingApplication import *
application = KratosMeshingApplication()
application_name = "KratosMeshingApplication"
_ImportApplication(application, application_name)
def setUp(self):
if (IsDistributedRun()):
self.skipTest(
"Skipping since Periodic tests are not designed to be run in MPI."
)
from importlib import import_module
import KratosMultiphysics as Kratos
import KratosMultiphysics.FluidDynamicsApplication as KratosCFD
import KratosMultiphysics.RANSApplication as KratosRANS
from KratosMultiphysics import IsDistributedRun
from KratosMultiphysics import VariableUtils
from KratosMultiphysics.kratos_utilities import CheckIfApplicationsAvailable
from KratosMultiphysics.RANSApplication import RansVariableUtilities
if (IsDistributedRun()
and CheckIfApplicationsAvailable("TrilinosApplication")):
from KratosMultiphysics.TrilinosApplication import TrilinosBlockBuilderAndSolverPeriodic
from KratosMultiphysics.TrilinosApplication import TrilinosBlockBuilderAndSolver
elif (not IsDistributedRun()):
from KratosMultiphysics import ResidualBasedBlockBuilderAndSolver
from KratosMultiphysics.FluidDynamicsApplication import ResidualBasedBlockBuilderAndSolverPeriodic
else:
raise Exception("Distributed run requires TrilinosApplication")
def GetKratosObjectPrototype(type_name):
type_dict = {
"LinearSolverFactory": [
"KratosMultiphysics.python_linear_solver_factory.ConstructSolver",
"KratosMultiphysics.TrilinosApplication.trilinos_linear_solver_factory.ConstructSolver"
],
"ResidualBasedNewtonRaphsonStrategy": [
"KratosMultiphysics.ResidualBasedNewtonRaphsonStrategy",
class TestMPIParMmg(KratosUnittest.TestCase):
@KratosUnittest.skipUnless(IsDistributedRun() and ParallelEnvironment.GetDefaultSize() <= 4, "Test designed to be run with max. 4 ranks.")
def test_mpi_sphere(self):
KratosMultiphysics.Logger.GetDefaultOutput().SetSeverity(KratosMultiphysics.Logger.Severity.WARNING)
# We create the model part
current_model = KratosMultiphysics.Model()
main_model_part = current_model.CreateModelPart("MainModelPart")
main_model_part.ProcessInfo.SetValue(KratosMultiphysics.DOMAIN_SIZE, 3)
# We add the variables needed
main_model_part.AddNodalSolutionStepVariable(KratosMultiphysics.DISTANCE)
main_model_part.AddNodalSolutionStepVariable(KratosMultiphysics.DISTANCE_GRADIENT)
# We import the model main_model_part
file_path = GetFilePath("/parmmg_eulerian_test/background_mesh_sphere")
ReadModelPart(file_path, main_model_part)
communicator = main_model_part.GetCommunicator().GetDataCommunicator()
for node in main_model_part.Nodes:
distance = math.sqrt(node.X**2+node.Y**2+node.Z**2) - 1.0/2.0
node.SetSolutionStepValue(KratosMultiphysics.DISTANCE,distance)
##COMPUTE DISTANCE GRADIENT AND NODAL_H
local_gradient = KratosMultiphysics.ComputeNodalGradientProcess3D(main_model_part,
KratosMultiphysics.DISTANCE,
KratosMultiphysics.DISTANCE_GRADIENT,
KratosMultiphysics.NODAL_AREA)
local_gradient.Execute()
find_nodal_h = KratosMultiphysics.FindNodalHNonHistoricalProcess(main_model_part)
find_nodal_h.Execute()
##COMPUTE LEVEL SET METRIC
metric_parameters = KratosMultiphysics.Parameters("""
{
"minimal_size" : 0.5,
"sizing_parameters": {
"reference_variable_name" : "DISTANCE",
"boundary_layer_max_distance" : 2.0,
"interpolation" : "constant"
},
"enforce_current" : false,
"anisotropy_remeshing" : false
}
""")
metric_process = KratosMultiphysics.MeshingApplication.ComputeLevelSetSolMetricProcess3D(
main_model_part,
KratosMultiphysics.DISTANCE_GRADIENT,
metric_parameters)
metric_process.Execute()
##PERFORM REMESHING
pmmg_parameters = KratosMultiphysics.Parameters("""
{
"filename" : "output",
"save_external_files" : true,
"save_colors_files" : true,
"initialize_entities" : false,
"preserve_flags" : false,
"echo_level" : 0,
"advanced_parameters" : {
"number_of_iterations" : 4
}
}
""")
pmmg_parameters["filename"].SetString(GetFilePath(pmmg_parameters["filename"].GetString()))
pmmg_process = KratosMultiphysics.MeshingApplication.ParMmgProcess3D(main_model_part.GetRootModelPart(), pmmg_parameters)
pmmg_process.Execute()
reference_file_name = GetFilePath("parmmg_eulerian_test/cond_ref_map.json")
result_file_name = GetFilePath("output_step=0_"+str(communicator.Rank())+".cond.ref.json")
self._CompareColorFiles(reference_file_name, result_file_name)
reference_file_name = GetFilePath("parmmg_eulerian_test/elem_ref_map.json")
result_file_name = GetFilePath("output_step=0_"+str(communicator.Rank())+".elem.ref.json")
self._CompareColorFiles(reference_file_name, result_file_name)
result_dict_file_name=GetFilePath("parmmg_eulerian_test/reference_parmmg_spehere_mdpa_hierarchy.json")
with open(result_dict_file_name, 'r') as f:
reference_hierarchy = json.load(f)
self.CheckModelPartHierarchie(main_model_part, reference_hierarchy[str(communicator.Size())])
for file_name in os.listdir(GetFilePath("")):
if file_name.endswith(".json") or file_name.endswith(".mdpa") or file_name.endswith(".mesh") or file_name.endswith(".sol"):
kratos_utilities.DeleteFileIfExisting(GetFilePath(file_name))
kratos_utilities.DeleteTimeFiles(os.getcwd())
def _CompareColorFiles(self, ref_dict_filename, result_dict_file_name):
with open(ref_dict_filename, 'r') as f:
reference_values = json.load(f)
with open(result_dict_file_name, 'r') as f:
result_values = json.load(f)
self.assertEqual(len(reference_values.keys()), len(result_values.keys()))
for key_ref, key_result in zip(reference_values.keys(), result_values.keys()):
self.assertEqual(reference_values[key_ref], result_values[key_result])
def _CheckModelPart(self, ref_model_part, result_model_part):
self.assertEqual(ref_model_part.NumberOfNodes(), result_model_part.NumberOfNodes())
self.assertEqual(ref_model_part.NumberOfElements(), result_model_part.NumberOfElements())
self.assertEqual(ref_model_part.NumberOfConditions(), result_model_part.NumberOfConditions())
def CheckModelPartHierarchie(self, model_part, hierarchie):
"""Checking if the hierarchie of a ModelPart matches the expected one
This is intended to check larger models, where it is not feasible
save large mdpa-files as references
the hierarchie is a dict with the structure of the ModelPart. E.g.:
{
"name_model_part" : {
"nodes": 15
"elements": 11
"conditions": 5
"properties": 2,
"sub_model_parts" : {
"domain" : {
"nodes": 15,
"elements" : 11,
"properties" :1
"sub_model_parts" : {
"sub_domain" : {
"nodes" : 3,
"elements" : 2
}
}
},
"boundary" : {
"nodes": 6
"conditions" : 5,
"properties" : 1
}
}
}
}
}
"""
def CheckModelPartHierarchieNumbers(smp, smp_hierarchie):
comm = smp.GetCommunicator().GetDataCommunicator()
local_number_of_nodes = smp.GetCommunicator().LocalMesh().NumberOfNodes()
local_number_of_elem = smp.GetCommunicator().LocalMesh().NumberOfElements()
local_number_of_cond = smp.GetCommunicator().LocalMesh().NumberOfConditions()
local_number_of_prop = smp.GetCommunicator().LocalMesh().NumberOfProperties()
exp_num = smp_hierarchie.get("nodes", 0)
self.assertEqual(comm.SumAll(local_number_of_nodes), exp_num, msg='ModelPart "{}" is expected to have {} nodes but has {}'.format(smp.FullName(), exp_num, smp.NumberOfNodes()))
exp_num = smp_hierarchie.get("elements", 0)
self.assertEqual(comm.SumAll(local_number_of_elem), exp_num, msg='ModelPart "{}" is expected to have {} elements but has {}'.format(smp.FullName(), exp_num, smp.NumberOfElements()))
exp_num = smp_hierarchie.get("conditions", 0)
self.assertEqual(comm.SumAll(local_number_of_cond), exp_num, msg='ModelPart "{}" is expected to have {} conditions but has {}'.format(smp.FullName(), exp_num, smp.NumberOfConditions()))
exp_num = smp_hierarchie.get("properties", 0)
self.assertEqual(comm.SumAll(local_number_of_prop), exp_num, msg='ModelPart "{}" is expected to have {} properties but has {}'.format(smp.FullName(), exp_num, smp.NumberOfProperties()))
if "sub_model_parts" in smp_hierarchie:
smp_hierarchie = smp_hierarchie["sub_model_parts"]
for name_smp in smp_hierarchie:
self.assertTrue(smp.HasSubModelPart(name_smp), msg='ModelPart "{}" does not have SubModelPart with name "{}"'.format(smp.FullName(), name_smp))
CheckModelPartHierarchieNumbers(smp.GetSubModelPart(name_smp), smp_hierarchie[name_smp])
# check name of MainModelPart
self.assertEqual(len(hierarchie), 1)
name_main_model_part = hierarchie.__iter__().__next__()
self.assertEqual(model_part.Name, name_main_model_part)
CheckModelPartHierarchieNumbers(model_part, hierarchie[name_main_model_part])
# makes KratosMultiphysics backward compatible with python 2.6 and 2.7
from __future__ import print_function, absolute_import, division
# Application dependent names and paths
from KratosMultiphysics.kratos_utilities import CheckIfApplicationsAvailable
from KratosMultiphysics import IsDistributedRun
if (IsDistributedRun()
and CheckIfApplicationsAvailable("TrilinosApplication")):
from KratosMultiphysics.TrilinosApplication import *
from KratosRANSApplication import *
from KratosMultiphysics import _ImportApplicationAsModule
application = KratosRANSApplication()
application_name = "KratosRANSApplication"
application_folder = "RANSApplication"
_ImportApplicationAsModule(application, application_name, application_folder,
__path__)
class TestDataCommunicatorFactory(UnitTest.TestCase):
def setUp(self):
self.registered_comms = []
self.default_data_communicator = ParallelEnvironment.GetDefaultDataCommunicator(
)
self.original_default = ParallelEnvironment.GetDefaultDataCommunicatorName(
)
def tearDown(self):
if len(self.registered_comms) > 0:
ParallelEnvironment.SetDefaultDataCommunicator(
self.original_default)
for comm_name in self.registered_comms:
ParallelEnvironment.UnregisterDataCommunicator(comm_name)
def markForCleanUp(self, comm_name):
self.registered_comms.append(comm_name)
@UnitTest.skipUnless(IsDistributedRun(), "Test is distributed.")
def testDataCommunicatorDuplication(self):
duplicate_comm = DataCommunicatorFactory.DuplicateAndRegister(
self.default_data_communicator, "Duplicate")
self.markForCleanUp("Duplicate") # to clean up during tearDown
self.assertEqual(duplicate_comm.Rank(),
self.default_data_communicator.Rank())
self.assertEqual(duplicate_comm.Size(),
self.default_data_communicator.Size())
@UnitTest.skipUnless(IsDistributedRun(), "Test is distributed.")
def testDataCommunicatorSplit(self):
rank = self.default_data_communicator.Rank()
size = self.default_data_communicator.Size()
split_comm = DataCommunicatorFactory.SplitAndRegister(
self.default_data_communicator, rank % 2, 0, "EvenOdd")
self.markForCleanUp("EvenOdd") # to clean up during tearDown
expected_rank = rank // 2
if rank % 2 == 0:
expected_size = math.ceil(size / 2)
else:
expected_size = math.floor(size / 2)
self.assertEqual(split_comm.Rank(), expected_rank)
self.assertEqual(split_comm.Size(), expected_size)
@UnitTest.skipUnless(IsDistributedRun()
and ParallelEnvironment.GetDefaultSize() > 1,
"Test requires at least two ranks.")
def testDataCommunicatorCreateFromRange(self):
rank = self.default_data_communicator.Rank()
size = self.default_data_communicator.Size()
# Create a communicator using all ranks except the first
ranks = [i for i in range(1, size)]
range_comm = DataCommunicatorFactory.CreateFromRanksAndRegister(
self.default_data_communicator, ranks, "AllExceptFirst")
self.markForCleanUp("AllExceptFirst") # to clean up during tearDown
if rank == 0:
self.assertTrue(range_comm.IsNullOnThisRank())
self.assertFalse(range_comm.IsDefinedOnThisRank())
else:
self.assertEqual(range_comm.Rank(), rank - 1)
self.assertEqual(range_comm.Size(), size - 1)
@UnitTest.skipUnless(IsDistributedRun()
and ParallelEnvironment.GetDefaultSize() > 2,
"Test requires at least three ranks.")
def testDataCommunicatorCreateUnion(self):
rank = self.default_data_communicator.Rank()
size = self.default_data_communicator.Size()
# Create a communicator using all ranks except the first
all_except_first = DataCommunicatorFactory.CreateFromRanksAndRegister(
self.default_data_communicator, [i for i in range(1, size)],
"AllExceptFirst")
self.markForCleanUp("AllExceptFirst") # to clean up during tearDown
all_except_last = DataCommunicatorFactory.CreateFromRanksAndRegister(
self.default_data_communicator, [i for i in range(0, size - 1)],
"AllExceptLast")
self.markForCleanUp("AllExceptLast") # to clean up during tearDown
# Create union communicator (should contain all ranks)
union_comm = DataCommunicatorFactory.CreateUnionAndRegister(
all_except_first, all_except_last, self.default_data_communicator,
"Union")
self.markForCleanUp("Union") # to clean up during tearDown
self.assertFalse(union_comm.IsNullOnThisRank())
self.assertEqual(union_comm.Rank(), rank)
self.assertEqual(union_comm.Size(), size)
@UnitTest.skipUnless(IsDistributedRun()
and ParallelEnvironment.GetDefaultSize() > 2,
"Test requires at least three ranks.")
def testDataCommunicatorCreateIntersection(self):
rank = self.default_data_communicator.Rank()
size = self.default_data_communicator.Size()
# Create a communicator using all ranks except the first
all_except_first = DataCommunicatorFactory.CreateFromRanksAndRegister(
self.default_data_communicator, [i for i in range(1, size)],
"AllExceptFirst")
self.markForCleanUp("AllExceptFirst") # to clean up during tearDown
all_except_last = DataCommunicatorFactory.CreateFromRanksAndRegister(
self.default_data_communicator, [i for i in range(0, size - 1)],
"AllExceptLast")
self.markForCleanUp("AllExceptLast") # to clean up during tearDown
intersection_comm = DataCommunicatorFactory.CreateIntersectionAndRegister(
all_except_first, all_except_last, self.default_data_communicator,
"Intersection")
self.markForCleanUp("Intersection") # to clean up during tearDown
if rank == 0 or rank == size - 1:
# The first and last ranks do not participate in the intersection communicator
self.assertTrue(intersection_comm.IsNullOnThisRank())
else:
self.assertEqual(intersection_comm.Rank(), rank - 1)
self.assertEqual(intersection_comm.Size(), size - 2)
