startTime=0
stopTime=1.5
tolerance=1e-06
numberOfIntervals=2
stepSize=0.75
wasm artifact (me: FMI 3.0 Model Exchange, integrated by omc with the model's own solver (DASKR unless its annotation says otherwise; IDA over the fmi-ls-dae residuals for a --daeMode model)): simulate(ModelicaTest.Math.Random.TestRandomNumbers,startTime=0,stopTime=1.5,tolerance=1e-06,numberOfIntervals=2,outputFormat="mat",variableFilter="time|result",fileNamePrefix="ModelicaTest_4.1.0_ModelicaTest.Math.Random.TestRandomNumbers",simflags=" -alarm=240  -emit_protected -lv LOG_STATS -startTime=0 -stopTime=1.5 -tolerance=1e-06 -stepSize=0.75 -variableFilter=time|result -r=ModelicaTest_4.1.0_ModelicaTest.Math.Random.TestRandomNumbers_me_res.mat -s fmi3:me",resimulateExecutable="ModelicaTest_4_1_0_ModelicaTest_Math_Random_TestRandomNumbers.fmu")
LOG_STDOUT        | info    | wasm artifact loaded in 0.1 ms (model kernel linked against the cached adapter, 0.0 MB)
LOG_STDOUT        | info    | 
|                 | |       | ... Demonstrate how to generate uniform random numbers with xorshift64*:
LOG_STDOUT        | info    |    random = 0.313593
LOG_STDOUT        | info    |    random = 0.511035
LOG_STDOUT        | info    |    random = 0.0424458
LOG_STDOUT        | info    |    random = 0.686031
LOG_STDOUT        | info    |    random = 0.448066
LOG_STDOUT        | info    | 
|                 | |       | ... Demonstrate how to generate uniform random numbers with xorshift128+ (and 3 different localSeeds):
LOG_STDOUT        | info    |    random = 0.461154, 0.551896, 0.439852
LOG_STDOUT        | info    |    random = 0.0317015, 0.109166, 0.735966
LOG_STDOUT        | info    |    random = 0.919226, 0.174328, 0.584951
LOG_STDOUT        | info    |    random = 0.544481, 0.00908263, 0.516446
LOG_STDOUT        | info    |    random = 0.492459, 0.402873, 0.522502
LOG_STDOUT        | info    | 
|                 | |       | ... Demonstrate how to generate uniform random numbers with xorshift1024*:
LOG_STDOUT        | info    |    random = 0.311559
LOG_STDOUT        | info    |    random = 0.0599521
LOG_STDOUT        | info    |    random = 0.9468
LOG_STDOUT        | info    |    random = 0.0379248
LOG_STDOUT        | info    |    random = 0.67468
LOG_STDOUT        | info    | 
|                 | |       | ... Demonstrate how to generate uniform random numbers with xorshift64*:
LOG_STDOUT        | info    |    random = 0.313593
LOG_STDOUT        | info    |    random = 0.511035
LOG_STDOUT        | info    |    random = 0.0424458
LOG_STDOUT        | info    |    random = 0.686031
LOG_STDOUT        | info    |    random = 0.448066
LOG_STDOUT        | info    | 
|                 | |       | ... Demonstrate how to generate uniform random numbers with xorshift128+ (and 3 different localSeeds):
LOG_STDOUT        | info    |    random = 0.461154, 0.551896, 0.439852
LOG_STDOUT        | info    |    random = 0.0317015, 0.109166, 0.735966
LOG_STDOUT        | info    |    random = 0.919226, 0.174328, 0.584951
LOG_STDOUT        | info    |    random = 0.544481, 0.00908263, 0.516446
LOG_STDOUT        | info    |    random = 0.492459, 0.402873, 0.522502
LOG_STDOUT        | info    | 
|                 | |       | ... Demonstrate how to generate uniform random numbers with xorshift1024*:
LOG_STDOUT        | info    |    random = 0.311559
LOG_STDOUT        | info    |    random = 0.0599521
LOG_STDOUT        | info    |    random = 0.9468
LOG_STDOUT        | info    |    random = 0.0379248
LOG_STDOUT        | info    |    random = 0.67468
LOG_STDOUT        | info    | ModelExchange instantiated in 39.9 ms
LOG_STDOUT        | info    | ModelExchange run: 3 steps, 3 evaluations, 0 Jacobians, 0 state events, 1 time events, 5 samples in 0.5 ms
LOG_SUCCESS       | info    | The simulation finished successfully.