Environment - simulationEnvironment: startTime=0 stopTime=1.5 tolerance=1e-06 numberOfIntervals=2 stepSize=0.75 Regular simulation: ./ModelicaTest_3.2.3_ModelicaTest.Math.Random.TestRandomNumbers -abortSlowSimulation -alarm=240 -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, 0.195231, 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 ### | | | | | timer | | | | | | 0.000486996s reading init.xml | | | | | | 6.8018e-05s reading info.xml | | | | | | 6.382e-05s [ 14.6%] pre-initialization | | | | | | 0.000200648s [ 45.8%] initialization | | | | | | 3.5e-07s [ 0.1%] steps | | | | | | 7.1e-08s [ 0.0%] solver (excl. callbacks) | | | | | | 0.000155584s [ 35.5%] creating output-file | | | | | | 0.000110659s [ 25.3%] event-handling | | | | | | 5.641e-06s [ 1.3%] overhead | | | | | | -9.8709e-05s [-22.5%] simulation | | | | | | 0.000438064s [100.0%] total | | | | | events | | | | | | 0 state events | | | | | | 2 time events | | | | | solver: euler | | | | | | 4 steps taken | | | | | | 4 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.