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How to create unitary tests
- Overview
- Python:
- C++:
- [How to run test][runtestscpp]
- [General structure][generalstructurecpp]
- [Some common commands in Unittests][unittestscommoncpp]
Kratos Multiphysics has a mechanism to automatically test your code called KratosUnittest
. If you are familiar with Python, this module is basically an extension of Unittest and you can expect to find every functionality that exists there in KratosUnittest
as well.
In order for your application to be robust, it is recommended to add Unittests to it. Here we present some guidelines on how to do it.
Kratos unittest are executed using the run_tests.py
script located in the kratos/kratos/python_scripts
folder.
Usage is the following:
python run_tests.py
you can specify the following options:
-l,--level: Select the suit. Values: "All", "Nightly", "Small"(default)
-v,--verbosity: Select the verbosity level of the output. Values: 0, 1 (default) , 2
-a,--applications: List of applications to run separated by ":". For example "-a KratosKore:IncompressibleFluidApplication"
All applications compiled are run by default.
Tests are defined in a python script. To keep tests organized we recommend you to create the tests in your "application/tests/" directory.
Tests are organized in suites. Suites are a collection of tests that will be run together as a package. In Kratos, we define three basic suites:
-
All
: which should contain all the tests -
Nightly
: which should contain a set of tests that could be executed in less than 10 min -
Small
: which should contain a set of tests that could be executed in less than 1 min
All applications should implement those packages as they can be automatically run, for example in the Nightly
runs. In order to add tests you should create at least a couple of files, one to define the tests and one to define the suites:
"application/tests/test_NAME_OF_OUR_APPLICATION.py"
for example:
kratos/applications/example_application/tests/test_example_application.py
This file will define the suites to run the tests. We define three different levels of suites in kratos:
- All: which should contain all the tests.
- Nightly: which should contain a set of tests that could be executed in less than 10 min.
- Small: which should contain a set of tests that could be executed in less than 1 min.
In order to add a test to some of these suites, one can do it as shown in this example:
from __future__ import print_function, absolute_import, division
# import Kratos
from KratosMultiphysics import *
# Import Kratos "wrapper" for unittests
import KratosMultiphysics.KratosUnittest as KratosUnittest
# Import the tests o test_classes to create the suites. For example
from test_my_app_example_tests_1 import TestCase1 as TestCase1
from test_my_app_example_tests_2 import TestCase2 as TestCase2
def AssembleTestSuites():
Populates the test suites to run.
Populates the test suites to run. At least, it should populate the suites:
"small", "nightly" and "all"
Return
------
suites: A dictionary of suites
The set of suites with its test_cases added.
# Get the already defined suites
suites = KratosUnittest.KratosSuites
# Get the small suite and populate it with some tests from TestCase1 and TestCase2
smallSuite = suites['small']
smallSuite.addTest(TestCase1('test_example_small_boo_1'))
smallSuite.addTest(TestCase2('test_example_small_foo_1'))
# Get the small suite and populate it with some tests from TestCase1 and TestCase2
nightSuite = suites['nightly']
smallSuite.addTest(TestCase1('test_example_nightly_boo_1'))
smallSuite.addTest(TestCase1('test_example_nightly_boo_2'))
smallSuite.addTest(TestCase2('test_example_nightly_foo_1'))
# Get the small suite and populate it with all tests from TestCase1 and TestCase2
allSuite = suites['all']
allSuite.addTests(
KratosUnittest.TestLoader().loadTestsFromTestCases([
TestCase1,
TestCase2
])
)
# Return the suites
return suites
# The main function executes the tests
if __name__ == '__main__':
KratosUnittest.runTests(AssembleTestSuites())
Examples are cases that test your code/application, but are more complex than the unitary tests, take longer and involve many functionalities. A typical example is a Finite Element calculation of few time steps and a few elements. In order to compute some examples (the examples that used to be located in the folder test_examples
) some additional considerations must to be taken into account. These considerations can be observed in the following example that is located in the StructuralMechanicsApplication/tests. In order to compute a dynamic test (Bossak and Newmark) and a patch test (with bending and membrane behaviours), the following files has been considered, first the main file, which will be the one launched.
# import Kratos
import KratosMultiphysics
import KratosMultiphysics.ExternalSolversApplication
import KratosMultiphysics.SolidMechanicsApplication
import KratosMultiphysics.StructuralMechanicsApplication
# Import Kratos "wrapper" for unittests
import KratosMultiphysics.KratosUnittest as KratosUnittest
# Import the tests o test_classes to create the suits
## SMALL TESTS
from SmallTests import SimpleMeshMovingTest as TSimpleMeshMovingTest
from SmallTests import DynamicBossakTests as TDynamicBossakTests
from SmallTests import DynamicNewmarkTests as TDynamicNewmarkTests
from SmallTests import SprismMembranePatchTests as TSprismMembranePatchTests
from SmallTests import SprismBendingPatchTests as TSprismBendingPatchTests
from SmallTests import ShellQ4ThickBendingRollUpTests as TShellQ4ThickBendingRollUpTests
from SmallTests import ShellQ4ThickDrillingRollUpTests as TShellQ4ThickDrillingRollUpTests
from SmallTests import ShellT3ThinBendingRollUpTests as TShellT3ThinBendingRollUpTests
from SmallTests import ShellT3ThinDrillingRollUpTests as TShellT3ThinDrillingRollUpTests
from SmallTests import EigenQ4Thick2x2PlateTests as TEigenQ4Thick2x2PlateTests
from SmallTests import EigenTL3D8NCubeTests as TEigenTL3D8NCubeTests
## NIGTHLY TESTS
from NightlyTests import ShellT3IsotropicScordelisTests as TShellT3IsotropicScordelisTests
## VALIDATION TESTS
from ValidationTests import SprismPanTests as TSprismPanTests
def AssambleTestSuites():
''' Populates the test suites to run.
Populates the test suites to run. At least, it should pupulate the suites:
"small", "nighlty" and "all"
Return
------
suites: A dictionary of suites
The set of suites with its test_cases added.
'''
suites = KratosUnittest.KratosSuites
# Create a test suit with the selected tests (Small tests):
smallSuite = suites['small']
smallSuite.addTest(TSimpleMeshMovingTest('test_execution'))
smallSuite.addTest(TDynamicBossakTests('test_execution'))
smallSuite.addTest(TDynamicNewmarkTests('test_execution'))
smallSuite.addTest(TSprismMembranePatchTests('test_execution'))
smallSuite.addTest(TSprismBendingPatchTests('test_execution'))
smallSuite.addTest(TShellQ4ThickBendingRollUpTests('test_execution'))
smallSuite.addTest(TShellQ4ThickDrillingRollUpTests('test_execution'))
smallSuite.addTest(TShellT3ThinBendingRollUpTests('test_execution'))
smallSuite.addTest(TShellT3ThinDrillingRollUpTests('test_execution'))
smallSuite.addTest(TEigenQ4Thick2x2PlateTests('test_execution'))
smallSuite.addTest(TEigenTL3D8NCubeTests('test_execution'))
# Create a test suit with the selected tests plus all small tests
nightSuite = suites['nightly']
nightSuite.addTests(smallSuite)
nightSuite.addTest(TShellT3IsotropicScordelisTests('test_execution'))
# For very long tests that should not be in nighly and you can use to validate
validationSuite = suites['validation']
validationSuite.addTest(TSprismPanTests('test_execution'))
# Create a test suit that contains all the tests:
allSuite = suites['all']
allSuite.addTests(
KratosUnittest.TestLoader().loadTestsFromTestCases([
TSimpleMeshMovingTest,
TDynamicBossakTests,
TDynamicNewmarkTests,
TSprismMembranePatchTests,
TSprismBendingPatchTests,
TShellQ4ThickBendingRollUpTests,
TShellQ4ThickDrillingRollUpTests,
TShellT3ThinBendingRollUpTests,
TShellT3ThinDrillingRollUpTests,
TShellT3IsotropicScordelisTests
])
)
if( hasattr(KratosMultiphysics.ExternalSolversApplication, "FEASTSolver") ):
allSuite.addTests(
KratosUnittest.TestLoader().loadTestsFromTestCases([
TEigenQ4Thick2x2PlateTests,
TEigenTL3D8NCubeTests
])
)
else:
print("FEASTSolver solver is not included in the compilation of the External Solvers Application")
return suites
if __name__ == '__main__':
KratosUnittest.runTests(AssambleTestSuites())
The following can be added as commentary to clarify what the script is doing:
- The tests are added using the string
test_nametest
from the imported class. - Nightly should consider at least all the small tests, in the same way all should consider all the nightly tests.
The following corresponds to the script that contains the test examples:
import os
# Import Kratos
from KratosMultiphysics import *
# Import KratosUnittest
import KratosMultiphysics.KratosUnittest as KratosUnittest
import Kratos_Execute_Solid_Test as Execute_Test
# This utility will control the execution scope in case we need to acces files or we depend
# on specific relative locations of the files.
# TODO: Should we move this to KratosUnittest?
class controlledExecutionScope:
def __init__(self, scope):
self.currentPath = os.getcwd()
self.scope = scope
def __enter__(self):
os.chdir(self.scope)
def __exit__(self, type, value, traceback):
os.chdir(self.currentPath)
class StructuralMechanichsTestFactory(KratosUnittest.TestCase):
def setUp(self):
# Within this location context:
with controlledExecutionScope(os.path.dirname(os.path.realpath(__file__))):
# Initialize GiD I/O
parameter_file = open(self.file_name + "_parameters.json", 'r')
ProjectParameters = Parameters(parameter_file.read())
# Creating the model part
self.test = Execute_Test.Kratos_Execute_Test(ProjectParameters)
def test_execution(self):
# Within this location context:
with controlledExecutionScope(os.path.dirname(os.path.realpath(__file__))):
self.test.Solve()
def tearDown(self):
pass
class SimpleMeshMovingTest(StructuralMechanichsTestFactory):
file_name = "mesh_moving_test/simple_mesh_moving_test"
class DynamicBossakTests(StructuralMechanichsTestFactory):
file_name = "dynamic_test/dynamic_bossak_test"
class DynamicNewmarkTests(StructuralMechanichsTestFactory):
file_name = "dynamic_test/dynamic_newmark_test"
class SprismMembranePatchTests(StructuralMechanichsTestFactory):
file_name = "sprism_test/patch_membrane_test"
class SprismBendingPatchTests(StructuralMechanichsTestFactory):
file_name = "sprism_test/patch_bending_test"
class ShellQ4ThickBendingRollUpTests(StructuralMechanichsTestFactory):
file_name = "shell_test/Shell_Q4_Thick__BendingRollUp_test"
class ShellQ4ThickDrillingRollUpTests(StructuralMechanichsTestFactory):
file_name = "shell_test/Shell_Q4_Thick__DrillingRollUp_test"
class ShellT3ThinBendingRollUpTests(StructuralMechanichsTestFactory):
file_name = "shell_test/Shell_T3_Thin__BendingRollUp_test"
class ShellT3ThinDrillingRollUpTests(StructuralMechanichsTestFactory):
file_name = "shell_test/Shell_T3_Thin__DrillingRollUp_test"
class EigenQ4Thick2x2PlateTests(StructuralMechanichsTestFactory):
file_name = "eigen_test/Eigen_Q4_Thick_2x2_Plate_test"
class EigenTL3D8NCubeTests(StructuralMechanichsTestFactory):
file_name = "eigen_test/Eigen_TL_3D8N_Cube_test"
This file calls the main file, which is very similar to the one used by the GiD's problem type:
from __future__ import print_function, absolute_import, division # makes KratosMultiphysics backward compatible with python 2.6 and 2.7
from KratosMultiphysics import *
from KratosMultiphysics.SolidMechanicsApplication import *
from KratosMultiphysics.StructuralMechanicsApplication import *
import os
import process_factory
class Kratos_Execute_Test:
def __init__(self, ProjectParameters):
self.ProjectParameters = ProjectParameters
self.main_model_part = ModelPart(self.ProjectParameters["problem_data"]["model_part_name"].GetString())
self.main_model_part.ProcessInfo.SetValue(DOMAIN_SIZE, self.ProjectParameters["problem_data"]["domain_size"].GetInt())
self.Model = {self.ProjectParameters["problem_data"]["model_part_name"].GetString(): self.main_model_part}
# Construct the solver (main setting methods are located in the solver_module)
solver_module = __import__(self.ProjectParameters["solver_settings"]["solver_type"].GetString())
self.solver = solver_module.CreateSolver(self.main_model_part, self.ProjectParameters["solver_settings"])
# Add variables (always before importing the model part) (it must be integrated in the ImportModelPart)
# If we integrate it in the model part we cannot use combined solvers
self.solver.AddVariables()
# Read model_part (note: the buffer_size is set here) (restart can be read here)
self.solver.ImportModelPart()
# Add dofs (always after importing the model part) (it must be integrated in the ImportModelPart)
# If we integrate it in the model part we cannot use combined solvers
self.solver.AddDofs()
# Build sub_model_parts or submeshes (rearrange parts for the application of custom processes)
# #Get the list of the submodel part in the object Model
for i in range(self.ProjectParameters["solver_settings"]["processes_sub_model_part_list"].size()):
part_name = self.ProjectParameters["solver_settings"]["processes_sub_model_part_list"][i].GetString()
self.Model.update({part_name: self.main_model_part.GetSubModelPart(part_name)})
# Obtain the list of the processes to be applied
self.list_of_processes = process_factory.KratosProcessFactory(self.Model).ConstructListOfProcesses(self.ProjectParameters["constraints_process_list"])
self.list_of_processes += process_factory.KratosProcessFactory(self.Model).ConstructListOfProcesses(self.ProjectParameters["loads_process_list"])
self.list_of_processes += process_factory.KratosProcessFactory(self.Model).ConstructListOfProcesses(self.ProjectParameters["list_other_processes"])
for process in self.list_of_processes:
process.ExecuteInitialize()
# ### START SOLUTION ####
self.computing_model_part = self.solver.GetComputingModelPart()
# ### Output settings start ####
self.problem_path = os.getcwd()
self.problem_name = self.ProjectParameters["problem_data"]["problem_name"].GetString()
# ### Output settings start ####
self.output_post = ProjectParameters.Has("output_configuration")
if (self.output_post == True):
from gid_output_process import GiDOutputProcess
output_settings = ProjectParameters["output_configuration"]
self.gid_output = GiDOutputProcess(self.computing_model_part,
self.problem_name,
output_settings)
self.gid_output.ExecuteInitialize()
# Sets strategies, builders, linear solvers, schemes and solving info, and fills the buffer
self.solver.Initialize()
self.solver.SetEchoLevel(0) # Avoid to print anything
if (self.output_post == True):
self.gid_output.ExecuteBeforeSolutionLoop()
def Solve(self):
for process in self.list_of_processes:
process.ExecuteBeforeSolutionLoop()
# #Stepping and time settings (get from process info or solving info)
# Delta time
delta_time = self.ProjectParameters["problem_data"]["time_step"].GetDouble()
# Start step
self.main_model_part.ProcessInfo[TIME_STEPS] = 0
# Start time
time = self.ProjectParameters["problem_data"]["start_time"].GetDouble()
# End time
end_time = self.ProjectParameters["problem_data"]["end_time"].GetDouble()
# Solving the problem (time integration)
while(time <= end_time):
time = time + delta_time
self.main_model_part.ProcessInfo[TIME_STEPS] += 1
self.main_model_part.CloneTimeStep(time)
for process in self.list_of_processes:
process.ExecuteInitializeSolutionStep()
if (self.output_post == True):
self.gid_output.ExecuteInitializeSolutionStep()
self.solver.Solve()
if (self.output_post == True):
self.gid_output.ExecuteFinalizeSolutionStep()
for process in self.list_of_processes:
process.ExecuteFinalizeSolutionStep()
for process in self.list_of_processes:
process.ExecuteBeforeOutputStep()
for process in self.list_of_processes:
process.ExecuteAfterOutputStep()
if (self.output_post == True):
if self.gid_output.IsOutputStep():
self.gid_output.PrintOutput()
if (self.output_post == True):
self.gid_output.ExecuteFinalize()
for process in self.list_of_processes:
process.ExecuteFinalize()
The main is always the same, just the processes from the project parameters inside the .json
are changed, look for example the .json
that corresponds to the Bossak dynamic test:
{
"problem_data" : {
"problem_name" : "dynamic_test",
"model_part_name" : "Structure",
"domain_size" : 2,
"time_step" : 0.001,
"start_time" : 0.001,
"end_time" : 0.10,
"echo_level" : 0
},
"solver_settings" : {
"solver_type" : "solid_mechanics_implicit_dynamic_solver",
"echo_level" : 0,
"solution_type" : "Dynamic",
"time_integration_method" : "Implicit",
"scheme_type" : "Bossak",
"model_import_settings" : {
"input_type" : "mdpa",
"input_filename" : "dynamic_test/dynamic_test"
},
"line_search" : false,
"convergence_criterion" : "Residual_criterion",
"displacement_relative_tolerance" : 0.0001,
"displacement_absolute_tolerance" : 1e-9,
"residual_relative_tolerance" : 0.0001,
"residual_absolute_tolerance" : 1e-9,
"max_iteration" : 10,
"linear_solver_settings" : {
"solver_type": "SuperLUSolver",
"max_iteration": 500,
"tolerance": 1e-9,
"scaling": false,
"verbosity": 1
},
"problem_domain_sub_model_part_list" : ["Parts_Parts_Auto1"],
"processes_sub_model_part_list" : ["DISPLACEMENT_Displacement_Auto1"]
},
"constraints_process_list" : [
{
"python_module" : "impose_vector_value_by_components_process",
"kratos_module" : "KratosMultiphysics",
"help" : "This process fixes the selected components of a given vector variable",
"process_name" : "ImposeVectorValueByComponentsProcess",
"Parameters" : {
"mesh_id" : 0,
"model_part_name" : "DISPLACEMENT_Displacement_Auto1",
"variable_name" : "DISPLACEMENT",
"is_fixed_x" : false,
"is_fixed_y" : true,
"is_fixed_z" : true,
"value" : [0.1, 0.0, 0.0]
}
}
],
"loads_process_list" : [],
"list_other_processes" :[
{
"python_module" : "from_json_check_result_process",
"kratos_module" : "KratosMultiphysics",
"help" : "",
"process_name" : "FromJsonCheckResultProcess",
"Parameters" : {
"check_variables" : ["DISPLACEMENT_X"],
"input_file_name" : "dynamic_test/dynamic_bossak_test_results.json",
"model_part_name" : "DISPLACEMENT_Displacement_Auto1",
"time_frequency" : 0.01
}
}
],
"print_output_process" : [
{
"python_module" : "json_output_process",
"kratos_module" : "KratosMultiphysics",
"help" : "",
"process_name" : "JsonOutputProcess",
"Parameters" : {
"output_variables" : ["DISPLACEMENT_X","VELOCITY_X","ACCELERATION_X"],
"output_file_name" : "dynamic_test/dynamic_bossak_test_results.json",
"model_part_name" : "DISPLACEMENT_Displacement_Auto1",
"time_frequency" : 0.01
}
}
],
"check_json_results_process" : [
{
"python_module" : "from_json_check_result_process",
"kratos_module" : "KratosMultiphysics",
"help" : "",
"process_name" : "FromJsonCheckResultProcess",
"Parameters" : {
"check_variables" : ["DISPLACEMENT_X","VELOCITY_X","ACCELERATION_X"],
"input_file_name" : "dynamic_test/dynamic_bossak_test_results.json",
"model_part_name" : "DISPLACEMENT_Displacement_Auto1",
"time_frequency" : 0.01
}
}
],
"check_analytic_results_process" : [
{
"python_module" : "from_analytic_check_result_process",
"kratos_module" : "KratosMultiphysics",
"help" : "",
"process_name" : "FromAnalyticCheckResultProcess",
"Parameters" : {
"variable_name" : "DISPLACEMENT_X",
"mesh_id" : 0,
"f(x,y,z,t)=" : "cos(10.0*t)",
"model_part_name" : "DISPLACEMENT_Displacement_Auto1",
"time_frequency" : 0.01
}
}
],
"apply_custom_function_process" : [],
"restart_options" : {
"SaveRestart" : false,
"RestartFrequency" : 0,
"LoadRestart" : false,
"Restart_Step" : 0
},
"constraints_data" : {
"incremental_load" : false,
"incremental_displacement" : false
}
}
In the previous example the tests can be checked both analitycally with check_analytic_results_process
or numerically with check_json_results_process
(for that check you need to generate first the .json
results file with the print_output_process
).
For some specific problems, where the common processes are not enough to define your test, you can define a local process, like the following one, where the displacement is imposed in the boundary and after solving the displacements they are checked in all the domain with 'AssertAlmostEqual':
from __future__ import print_function, absolute_import, division #makes KratosMultiphysics backward compatible with python 2.6 and 2.7
# Importing the Kratos Library
from KratosMultiphysics import *
from KratosMultiphysics.SolidMechanicsApplication import *
from KratosMultiphysics.StructuralMechanicsApplication import *
CheckForPreviousImport()
# Import KratosUnittest
import KratosMultiphysics.KratosUnittest as KratosUnittest
def Factory(settings, Model):
if (type(settings) != Parameters):
raise Exception("Expected input shall be a Parameters object, encapsulating a json string")
return ApplyLocalProcess(Model, settings["Parameters"])
class ApplyLocalProcess(Process, KratosUnittest.TestCase):
def __init__(self,model_part,params):
self.model_part = model_part[params["model_part_name"].GetString()]
self.params = params
def ExecuteInitialize(self):
# Find neighbours if required
sprism_neighbour_search = SprismNeighbours(self.model_part)
sprism_neighbour_search.Execute()
#pass
def ExecuteBeforeSolutionLoop(self):
# Add BC
for node in self.model_part.Nodes:
if (node.X >2.40000e-01 -1.0e-5) | (node.Y > 1.20000e-01 -1.0e-5) | (node.X < 1.0e-5) | (node.Y < 1.0e-5):
node.Fix(DISPLACEMENT_X)
node.SetSolutionStepValue(DISPLACEMENT_X, 0, -1.0e-7 * (node.Z - 0.0005) * (node.X + node.Y / 2))
node.Fix(DISPLACEMENT_Y)
node.SetSolutionStepValue(DISPLACEMENT_Y, 0, -1.0e-7 * (node.Z - 0.0005) * (node.Y + node.X / 2))
node.Fix(DISPLACEMENT_Z)
node.SetSolutionStepValue(DISPLACEMENT_Z, 0, 0.5 * 1.0e-7 * (node.X ** 2 + node.X * node.Y + node.Y ** 2))
def ExecuteInitializeSolutionStep(self):
pass
def ExecuteFinalizeSolutionStep(self):
for node in self.model_part.Nodes:
value = node.GetSolutionStepValue(DISPLACEMENT_X,0)
self.assertAlmostEqual(value, -1.0e-7 * (node.Z - 0.0005) * (node.X + node.Y / 2))
value = node.GetSolutionStepValue(DISPLACEMENT_Y,0)
self.assertAlmostEqual(value,-1.0e-7 * (node.Z - 0.0005) * (node.Y + node.X / 2))
value = node.GetSolutionStepValue(DISPLACEMENT_Z,0)
self.assertAlmostEqual(value, 0.5 * 1.0e-7 * (node.X ** 2 + node.X * node.Y + node.Y **2 ))
def ExecuteBeforeOutputStep(self):
pass
def ExecuteAfterOutputStep(self):
pass
def ExecuteFinalize(self):
pass
This specifics results can be found in the StructuralMechanicsApplication tests folder.
Important additional comments:
- The solver, constitutive laws, etc..., everything is created from the main file, that should be ALWAYS the same, and just change the processes, or even include your local processes, but never change the main.
- You can create a json with data from previous simulations for future benchmarking using the process json_output_process.py and check it with from_json_check_result_process.py.
- In order to be recognized automatically, all tests need to have the name "test_" at the beginning of the definition (
test_MembranePatch
andtest_BendingPatch
in this example). - The
tearDown
doesn't do anything, it just closes files, clears memory...imports
should be at the beginning of the file to avoid conflicts. -
NO PRINTS: please don't print anything on screen by calling the
print()
function. It is not necessary, the unittest already prints all the necessary information.
The link contents the commands that can be used with the original Unittest from Python, not all the commands from the python Unittest are available in Kratos right now, but they will be available in a near future. The following are the most common and essential commands in Kratos Unittest:
-
assertTrue/assertFalse
:They check if the two inputs are true or false respectively. -
assertEqual
: Check if the two inputs are exactly equal, if the inputs are doubles it is recommended to use the next assert, in order to avoid precision errors. -
assertAlmostEqual
: Check if the solution is almost equal in the two inputs, with a certain precision (check the unittest python wiki for more details link)
For the tests defined in C++ it is necessary to call the Tester
from KratosMultiPhysics
. Usage is the following:
from KratosMultiphysics import *
Tester.RunAllTests() #Test all cases
Tester.RunTestSuite("Suite_name_here") #Test a whole suite
Tester.RunTestCases("Test_name_here") #Test a specific case
But can consult the functioning of the C++ cases looking at the code. In general the main arguements are:
-
SetVerbosity()
: To set the verbosity level. You can choose between:-
QUITE
: -
PROGRESS
: -
TESTS_LIST
: -
FAILED_TESTS_OUTPUTS
: -
TESTS_OUTPUTS
:
-
-
ProfileAllTestCases()
: -
ProfileTestSuite()
: -
ProfileAllTestCases()
: -
NumberOfFailedTestCases()
: it returns the number of testcases failed. -
ResetAllTestCasesResults()
: -
ListOfAllTestCases()
: It lists all the avalaible test cases
In order to add a test to some of these suites, one can do it as shown in this example:
// System includes
// External includes
// Project includes
#include "testing/testing.h"
namespace Kratos {
namespace Testing {
KRATOS_TEST_CASE_IN_SUITE(TestSuite, KratosCoreFastSuite)
{
Tester::CreateTestSuite("MyTestSuite")
{
}
}
}
} // namespace Kratos.
This was the simplest example, tests with more complexity can be created, as the following one:
// System includes
#include <limits>
// External includes
// Project includes
#include "testing/testing.h"
// Utility includes
#include "utilities/math_utils.h"
namespace Kratos
{
namespace Testing
{
constexpr double EPSILON = std::numeric_limits<double>::epsilon();
constexpr double TOLERANCE = 1e-6;
/// Tests
/** Checks if the area of the triangle is calculated correctly using Heron equation.
* Checks if the area of the triangle is calculated correctly using Heron equation.
*/
KRATOS_TEST_CASE_IN_SUITE(MathUtilsHeronTest, KratosCoreMathUtilsFastSuite)
{
const double area = MathUtils<double>::Heron<false>(std::sqrt(2.0), 1.0, 1.0);
KRATOS_CHECK_NEAR(area, 0.5, TOLERANCE);
}
/** Checks if it gives you the absolute value of a given value
* Checks if It gives you the absolute value of a given value
*/
KRATOS_TEST_CASE_IN_SUITE(MathUtilsAbsTest, KratosCoreMathUtilsFastSuite)
{
const double absolute = MathUtils<double>::Abs(-1.0);
KRATOS_CHECK_EQUAL(absolute, 1.0);
}
/** Checks if it gives you the minimum value of a given value
* Checks if It gives you the minimum value of a given value
*/
KRATOS_TEST_CASE_IN_SUITE(MathUtilsMinTest, KratosCoreMathUtilsFastSuite)
{
const double min = MathUtils<double>::Min(0.0,1.0);
KRATOS_CHECK_EQUAL(min, 0.0);
}
} // namespace Testing
} // namespace Kratos.
The following are the most common and essential commands in Kratos Unittest:
-
KRATOS_CHECK
/KRATOS_CHECK_IS_FALSE
:They check if the input is true or false -
KRATOS_CHECK_EXCEPTION_RAISED
: Check if an exception is raised -
KRATOS_CHECK_C_STRING_EQUAL
/KRATOS_CHECK_C_STRING__NOT_EQUAL
/KRATOS_CHECK_STRING_CONTAIN_SUB_STRING
: Check if the string is the same, or not, or a substring -
KRATOS_CHECK_EQUAL
: Check if the two inputs are exactly equal, if the inputs are doubles it is recommended to use the next assert, in order to avoid precision errors. -
KRATOS_CHECK_NEAR
: Check if the solution is almost equal in the two inputs, with a certain precision -
KRATOS_CHECK_LESS
/KRATOS_CHECK_GREATER
/KRATOS_CHECK_LESS_EQUAL
/KRATOS_CHECK_GREATER_EQUAL
: It checks if the value is <, <=, > or >= than the other
- Getting Kratos (Last compiled Release)
- Compiling Kratos
- Running an example from GiD
- Kratos input files and I/O
- Data management
- Solving strategies
- Manipulating solution values
- Multiphysics
- Video tutorials
- Style Guide
- Authorship of Kratos files
- Configure .gitignore
- How to configure clang-format
- How to use smart pointer in Kratos
- How to define adjoint elements and response functions
- Visibility and Exposure
- Namespaces and Static Classes
Kratos structure
Conventions
Solvers
Debugging, profiling and testing
- Compiling Kratos in debug mode
- Debugging Kratos using GDB
- Cross-debugging Kratos under Windows
- Debugging Kratos C++ under Windows
- Checking memory usage with Valgind
- Profiling Kratos with MAQAO
- Creating unitary tests
- Using ThreadSanitizer to detect OMP data race bugs
- Debugging Memory with ASAN
HOW TOs
- How to create applications
- Python Tutorials
- Kratos For Dummies (I)
- List of classes and variables accessible via python
- How to use Logger
- How to Create a New Application using cmake
- How to write a JSON configuration file
- How to Access DataBase
- How to use quaternions in Kratos
- How to do Mapping between nonmatching meshes
- How to use Clang-Tidy to automatically correct code
- How to use the Constitutive Law class
- How to use Serialization
- How to use GlobalPointerCommunicator
- How to use PointerMapCommunicator
- How to use the Geometry
- How to use processes for BCs
- How to use Parallel Utilities in futureproofing the code
- Porting to Pybind11 (LEGACY CODE)
- Porting to AMatrix
- How to use Cotire
- Applications: Python-modules
- How to run multiple cases using PyCOMPSs
- How to apply a function to a list of variables
- How to use Kratos Native sparse linear algebra
Utilities
Kratos API
Kratos Structural Mechanics API