startTime=0 stopTime=1.5 tolerance=1e-06 numberOfIntervals=2 stepSize=0.75 wasm artifact (cs: FMI 3.0 Co-Simulation, the artifact integrating itself with DASKR): simulate(ModelicaTest.Math.Random.TestRandomNumbers,startTime=0,stopTime=1.5,tolerance=1e-06,numberOfIntervals=2,outputFormat="mat",variableFilter="time|result",fileNamePrefix="ModelicaTest_3.2.3_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_3.2.3_ModelicaTest.Math.Random.TestRandomNumbers_cs_res.mat -s fmi3:cs",resimulateExecutable="ModelicaTest_3_2_3_ModelicaTest_Math_Random_TestRandomNumbers.fmu") LOG_STDOUT | info | wasm artifact loaded in 0.0 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, 0.195231, 0.343986 LOG_STDOUT | info | random = 0.0317015, 0.483153, 0.437642 LOG_STDOUT | info | random = 0.919226, 0.919375, 0.171549 LOG_STDOUT | info | random = 0.544481, 0.139722, 0.226446 LOG_STDOUT | info | random = 0.492459, 0.997483, 0.774818 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, 0.195231, 0.343986 LOG_STDOUT | info | random = 0.0317015, 0.483153, 0.437642 LOG_STDOUT | info | random = 0.919226, 0.919375, 0.171549 LOG_STDOUT | info | random = 0.544481, 0.139722, 0.226446 LOG_STDOUT | info | random = 0.492459, 0.997483, 0.774818 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_STATS | info | ### STATISTICS ### LOG_STATS | info | timer LOG_STATS | info | | 0s reading init.xml LOG_STATS | info | | 0s reading info.xml LOG_STATS | info | | 0s [ 0.0%] pre-initialization LOG_STATS | info | | 0s [ 0.0%] initialization LOG_STATS | info | | 0s [ 0.0%] steps LOG_STATS | info | | 0s [ 0.0%] solver (excl. callbacks) LOG_STATS | info | | 0s [ 0.0%] creating output-file LOG_STATS | info | | 0s [ 0.0%] event-handling LOG_STATS | info | | 0s [ 0.0%] overhead LOG_STATS | info | | 0s [ 0.0%] simulation LOG_STATS | info | | 0s [100.0%] total LOG_STATS | info | events LOG_STATS | info | | 0 state events LOG_STATS | info | | 2 time events LOG_STATS | info | solver: dassl LOG_STATS | info | | 0 steps taken LOG_STATS | info | | 0 calls of functionODE LOG_STATS | info | | 0 evaluations of jacobian LOG_STATS | info | | 0 error test failures LOG_STATS | info | | 0 convergence test failures LOG_STATS | info | | 0s time of jacobian evaluation LOG_STDOUT | info | CoSimulation instantiated in 0.1 ms LOG_STDOUT | info | CoSimulation run: 3 communication steps, 1 events, 1 early returns, 5 samples in 0.3 ms LOG_SUCCESS | info | The simulation finished successfully.