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.
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, 0.551896, 0.439852
stdout            | info    |    random = 0.0317015, 0.109166, 0.735966
stdout            | info    |    random = 0.919226, 0.174328, 0.584951
stdout            | info    |    random = 0.544481, 0.00908263, 0.516446
stdout            | info    |    random = 0.492459, 0.402873, 0.522502
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, 0.551896, 0.439852
stdout            | info    |    random = 0.0317015, 0.109166, 0.735966
stdout            | info    |    random = 0.919226, 0.174328, 0.584951
stdout            | info    |    random = 0.544481, 0.00908263, 0.516446
stdout            | info    |    random = 0.492459, 0.402873, 0.522502
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
|                 | |       | | |  0.000617739s          reading init.xml
|                 | |       | | |  0.000117932s          reading info.xml
|                 | |       | | |   9.8976e-05s [ 20.4%] pre-initialization
|                 | |       | | |   7.2416e-05s [ 14.9%] initialization
|                 | |       | | |     7.31e-07s [  0.2%] steps
|                 | |       | | |      1.8e-07s [  0.0%] solver (excl. callbacks)
|                 | |       | | |    4.609e-05s [  9.5%] creating output-file
|                 | |       | | |   0.00023457s [ 48.4%] event-handling
|                 | |       | | |    7.645e-06s [  1.6%] overhead
|                 | |       | | |   2.4402e-05s [  5.0%] simulation
|                 | |       | | |   0.00048501s [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.