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