Environment - simulationEnvironment: startTime=0 stopTime=1.5 tolerance=1e-06 numberOfIntervals=1 stepSize=1.5 Regular simulation: ./ModelicaTest_trunk_ModelicaTest.Math.Random.TestRandomNumbers -abortSlowSimulation -alarm=480 -s gbode -emit_protected -lv LOG_STATS LOG_SUCCESS | info | The initialization finished successfully without homotopy method. 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_STATS | info | ### STATISTICS ### | | | | | timer | | | | | | 0.000657904s reading init.xml | | | | | | 8.2545e-05s reading info.xml | | | | | | 0.000129273s [ 29.7%] pre-initialization | | | | | | 7.0903e-05s [ 16.3%] initialization | | | | | | 4.61e-07s [ 0.1%] steps | | | | | | 1.6e-07s [ 0.0%] solver (excl. callbacks) | | | | | | 5.322e-05s [ 12.2%] creating output-file | | | | | | 0.000160882s [ 37.0%] event-handling | | | | | | 6.123e-06s [ 1.4%] overhead | | | | | | 1.3714e-05s [ 3.2%] simulation | | | | | | 0.000434736s [100.0%] total | | | | | events | | | | | | 0 state events | | | | | | 2 time events | | | | | solver: euler | | | | | | 8 steps taken | | | | | | 8 calls of functionODE | | | | | | 0 evaluations of jacobian | | | | | | 0 error test failures | | | | | | 0 convergence test failures | | | | | | 0s time of jacobian evaluation LOG_SUCCESS | info | The simulation finished successfully.