startTime=0
stopTime=1.5
tolerance=1e-06
numberOfIntervals=1
stepSize=1.5
Regular simulation: ./ModelicaTest_trunk_cpp_ModelicaTest.Math.Random.TestRandomNumbers  --alarm=480   -emit_protected

... Demonstrate how to generate uniform random numbers with xorshift64*:
   random = 0.313593
   random = 0.511035
   random = 0.042446
   random = 0.686031
   random = 0.448066

... Demonstrate how to generate uniform random numbers with xorshift128+ (and 3 different localSeeds):
   random = 0.461154, 0.551896, 0.439852
   random = 0.031701, 0.109166, 0.735966
   random = 0.919226, 0.174328, 0.584951
   random = 0.544481, 0.009083, 0.516446
   random = 0.492459, 0.402873, 0.522502

... Demonstrate how to generate uniform random numbers with xorshift1024*:
   random = 0.311559
   random = 0.059952
   random = 0.946800
   random = 0.037925
   random = 0.674680

... Demonstrate how to generate uniform random numbers with xorshift64*:
   random = 0.313593
   random = 0.511035
   random = 0.042446
   random = 0.686031
   random = 0.448066

... Demonstrate how to generate uniform random numbers with xorshift128+ (and 3 different localSeeds):
   random = 0.461154, 0.551896, 0.439852
   random = 0.031701, 0.109166, 0.735966
   random = 0.919226, 0.174328, 0.584951
   random = 0.544481, 0.009083, 0.516446
   random = 0.492459, 0.402873, 0.522502

... Demonstrate how to generate uniform random numbers with xorshift1024*:
   random = 0.311559
   random = 0.059952
   random = 0.946800
   random = 0.037925
   random = 0.674680