startTime=0
stopTime=1.5
tolerance=1e-06
numberOfIntervals=1
stepSize=1.5
Regular simulation: ./ModelicaTest_3.2.3_ModelicaTest.Math.Random.TestRandomNumbers -abortSlowSimulation -alarm=480   -emit_protected -lv LOG_STATS
LOG_SUCCESS       | info    | The initialization finished successfully without homotopy method.
stdout            | info    | 
|                 | |       | ... Demonstrate how to generate uniform random numbers with xorshift64*:
stdout            | info    |    random = 0.313593
stdout            | info    |    random = 0.511035
stdout            | info    |    random = 0.0424458
stdout            | info    |    random = 0.686031
stdout            | info    |    random = 0.448066
stdout            | info    | 
|                 | |       | ... Demonstrate how to generate uniform random numbers with xorshift128+ (and 3 different localSeeds):
stdout            | info    |    random = 0.461154, 0.195231, 0.343986
stdout            | info    |    random = 0.0317015, 0.483153, 0.437642
stdout            | info    |    random = 0.919226, 0.919375, 0.171549
stdout            | info    |    random = 0.544481, 0.139722, 0.226446
stdout            | info    |    random = 0.492459, 0.997483, 0.774818
stdout            | info    | 
|                 | |       | ... Demonstrate how to generate uniform random numbers with xorshift1024*:
stdout            | info    |    random = 0.311559
stdout            | info    |    random = 0.0599521
stdout            | info    |    random = 0.9468
stdout            | info    |    random = 0.0379248
stdout            | info    |    random = 0.67468
stdout            | info    | 
|                 | |       | ... Demonstrate how to generate uniform random numbers with xorshift64*:
stdout            | info    |    random = 0.313593
stdout            | info    |    random = 0.511035
stdout            | info    |    random = 0.0424458
stdout            | info    |    random = 0.686031
stdout            | info    |    random = 0.448066
stdout            | info    | 
|                 | |       | ... Demonstrate how to generate uniform random numbers with xorshift128+ (and 3 different localSeeds):
stdout            | info    |    random = 0.461154, 0.195231, 0.343986
stdout            | info    |    random = 0.0317015, 0.483153, 0.437642
stdout            | info    |    random = 0.919226, 0.919375, 0.171549
stdout            | info    |    random = 0.544481, 0.139722, 0.226446
stdout            | info    |    random = 0.492459, 0.997483, 0.774818
stdout            | info    | 
|                 | |       | ... Demonstrate how to generate uniform random numbers with xorshift1024*:
stdout            | info    |    random = 0.311559
stdout            | info    |    random = 0.0599521
stdout            | info    |    random = 0.9468
stdout            | info    |    random = 0.0379248
stdout            | info    |    random = 0.67468
LOG_STATS         | info    | ### STATISTICS ###
|                 | |       | | timer
|                 | |       | | |  0.000743024s          reading init.xml
|                 | |       | | |  0.000118102s          reading info.xml
|                 | |       | | |  0.000144711s [ 25.3%] pre-initialization
|                 | |       | | |  0.000102142s [ 17.9%] initialization
|                 | |       | | |     7.51e-07s [  0.1%] steps
|                 | |       | | |     3.02e-07s [  0.1%] solver (excl. callbacks)
|                 | |       | | |    7.096e-05s [ 12.4%] creating output-file
|                 | |       | | |  0.000238398s [ 41.7%] event-handling
|                 | |       | | |    9.549e-06s [  1.7%] overhead
|                 | |       | | |    5.011e-06s [  0.9%] simulation
|                 | |       | | |  0.000571824s [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.