/home/hudson/saved_omc/OMSimulator/install/bin/OMSimulator -r=ModelicaTest_3.2.3_ModelicaTest.Math.Random.TestRandomNumbers_res.mat --tempDir=temp_ModelicaTest_3_2_3_ModelicaTest_Math_Random_TestRandomNumbers_fmu --startTime=0 --stopTime=1.5 --stepSize=1.5 --timeout=50 --tolerance=1e-06 ModelicaTest_3_2_3_ModelicaTest_Math_Random_TestRandomNumbers.fmu
warning: Failed to load settings: [json.exception.parse_error.101] parse error at line 4, column 1: syntax error while parsing value - unexpected '}'; expected end of input
warning: Failed to save settings: [json.exception.parse_error.101] parse error at line 4, column 1: syntax error while parsing value - unexpected '}'; expected end of input
info:    Set temp directory to    "/var/lib/jenkins1/ws/OpenModelicaLibraryTestingWork/OpenModelicaLibraryTesting/ModelicaTest_3.2.3_ModelicaTest.Math.Random.TestRandomNumbers"
info:    Set working directory to "/var/lib/jenkins1/ws/OpenModelicaLibraryTestingWork/OpenModelicaLibraryTesting/ModelicaTest_3.2.3_ModelicaTest.Math.Random.TestRandomNumbers"
info:    New model "model" with corresponding temp directory "/var/lib/jenkins1/ws/OpenModelicaLibraryTestingWork/OpenModelicaLibraryTesting/ModelicaTest_3.2.3_ModelicaTest.Math.Random.TestRandomNumbers/model-83lkt1jq"
info:    Set working directory to "/var/lib/jenkins1/ws/OpenModelicaLibraryTestingWork/OpenModelicaLibraryTesting/ModelicaTest_3.2.3_ModelicaTest.Math.Random.TestRandomNumbers"
warning: [ModelicaTest_3_2_3_ModelicaTest_Math_Random_TestRandomNumbers: resources/0001_ModelicaTest_3_2_3_ModelicaTest_Math_Random_TestRandomNumbers.fmu] The FMU lists 48 initial unknowns and exposes 53 initial unknowns.
           * 1: r2 is missing
           * 2: r33 is missing
           * 3: r4a is missing
           * 4: r4b is missing
           * 5: r4c is missing
info:    [ModelicaTest_3_2_3_ModelicaTest_Math_Random_TestRandomNumbers: resources/0001_ModelicaTest_3_2_3_ModelicaTest_Math_Random_TestRandomNumbers.fmu] The FMU contains bad initial unknowns. This might cause problems, e.g. wrong simulation results.
info:    *** FMU Simulation Info ***
          - model:     model (model exchange)
          - path:      ModelicaTest_3_2_3_ModelicaTest_Math_Random_TestRandomNumbers.fmu
          - startTime: 0.000000
          - stopTime:  1.500000
          - tolerance: 0.000001
          - stepSize:  1.500000
info:    model doesn't contain any continuous state
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
info:    maximum step size for 'model.root': 1.500000
info:    Result file: ModelicaTest_3.2.3_ModelicaTest.Math.Random.TestRandomNumbers_res.mat (bufferSize=1)
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
info:    Final Statistics for 'model.root':
         NumSteps = 4 NumRhsEvals  = 5 NumLinSolvSetups = 4
         NumNonlinSolvIters = 4 NumNonlinSolvConvFails = 0 NumErrTestFails = 0
info:    3 warnings
info:    0 errors