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 -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 | | | | | | 0.000728376s reading init.xml | | | | | | 9.578e-05s reading info.xml | | | | | | 0.000126217s [ 25.5%] pre-initialization | | | | | | 7.9239e-05s [ 16.0%] initialization | | | | | | 4.51e-07s [ 0.1%] steps | | | | | | 2.8e-07s [ 0.1%] solver (excl. callbacks) | | | | | | 5.345e-05s [ 10.8%] creating output-file | | | | | | 0.000199205s [ 40.2%] event-handling | | | | | | 8.116e-06s [ 1.6%] overhead | | | | | | 2.8582e-05s [ 5.8%] simulation | | | | | | 0.00049554s [100.0%] total | | | | | events | | | | | | 0 state events | | | | | | 2 time events | | | | | solver: euler | | | | | | 6 steps taken | | | | | | 6 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.