OMSimulator -r=ModelicaTest_trunk_ModelicaTest.Math.Random.TestRandomNumbers_res.mat --tempDir=temp_ModelicaTest_trunk_ModelicaTest_Math_Random_TestRandomNumbers_fmu --startTime=0 --stopTime=1.5 --timeout=50 --tolerance=1e-06 ModelicaTest_trunk_ModelicaTest_Math_Random_TestRandomNumbers.fmu
info:    Set temp directory to    "/tmp/omsimulator"
info:    Set working directory to "."
info:    New temp directory has been created: "temp_ModelicaTest_trunk_ModelicaTest_Math_Random_TestRandomNumbers_fmu"
info:    Set temp directory to    "/var/lib/jenkins/ws/OpenModelicaLibraryTestingWork/OpenModelicaLibraryTesting/ModelicaTest_trunk_ModelicaTest.Math.Random.TestRandomNumbers/temp_ModelicaTest_trunk_ModelicaTest_Math_Random_TestRandomNumbers_fmu"
info:    Set working directory to "/var/lib/jenkins/ws/OpenModelicaLibraryTestingWork/OpenModelicaLibraryTesting/ModelicaTest_trunk_ModelicaTest.Math.Random.TestRandomNumbers"
info:    New model "model" with corresponding temp directory "/var/lib/jenkins/ws/OpenModelicaLibraryTestingWork/OpenModelicaLibraryTesting/ModelicaTest_trunk_ModelicaTest.Math.Random.TestRandomNumbers/temp_ModelicaTest_trunk_ModelicaTest_Math_Random_TestRandomNumbers_fmu/model-589k6esn"
info:    model doesn't contain any continuous state
stdout            | info    | 
|                 | |       | ... Demonstrate how to generate uniform random numbers with xorshift64*:
stdout            | info    |    random = 0.313593
stdout            | info    |    random = 0.511035
stdout            | info    |    random = 0.0424458
stdout            | info    |    random = 0.686031
stdout            | info    |    random = 0.448066
stdout            | info    | 
|                 | |       | ... Demonstrate how to generate uniform random numbers with xorshift128+ (and 3 different localSeeds):
stdout            | info    |    random = 0.461154, 0.551896, 0.439852
stdout            | info    |    random = 0.0317015, 0.109166, 0.735966
stdout            | info    |    random = 0.919226, 0.174328, 0.584951
stdout            | info    |    random = 0.544481, 0.00908263, 0.516446
stdout            | info    |    random = 0.492459, 0.402873, 0.522502
stdout            | info    | 
|                 | |       | ... Demonstrate how to generate uniform random numbers with xorshift1024*:
stdout            | info    |    random = 0.311559
stdout            | info    |    random = 0.0599521
stdout            | info    |    random = 0.9468
stdout            | info    |    random = 0.0379248
stdout            | info    |    random = 0.67468
info:    No result file will be created
stdout            | info    | 
|                 | |       | ... Demonstrate how to generate uniform random numbers with xorshift64*:
stdout            | info    |    random = 0.313593
stdout            | info    |    random = 0.511035
stdout            | info    |    random = 0.0424458
stdout            | info    |    random = 0.686031
stdout            | info    |    random = 0.448066
stdout            | info    | 
|                 | |       | ... Demonstrate how to generate uniform random numbers with xorshift128+ (and 3 different localSeeds):
stdout            | info    |    random = 0.461154, 0.551896, 0.439852
stdout            | info    |    random = 0.0317015, 0.109166, 0.735966
stdout            | info    |    random = 0.919226, 0.174328, 0.584951
stdout            | info    |    random = 0.544481, 0.00908263, 0.516446
stdout            | info    |    random = 0.492459, 0.402873, 0.522502
stdout            | info    | 
|                 | |       | ... Demonstrate how to generate uniform random numbers with xorshift1024*:
stdout            | info    |    random = 0.311559
stdout            | info    |    random = 0.0599521
stdout            | info    |    random = 0.9468
stdout            | info    |    random = 0.0379248
stdout            | info    |    random = 0.67468