Begin test
Now print a real number: 3.14159
Print 20 N(0,1) random numbers - should be the same as in sample output
1.60382
-1.30754
-1.35107
-1.13924
0.273018
1.06615
-0.124875
-0.948578
0.275591
1.44853
-2.07826
-3.06759
1.09382
1.21352
-0.643038
-0.222574
-0.611443
-0.180788
-1.19885
-0.756851
Print histograms of data from a variety distributions
Histograms should be close to those in sample output
s. mean and s. var should be close to p. mean and s. mean
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Constant
p. mean = 5, p. var = 0
s. mean = 5, s. var = 0, max = 5, min = 5
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Uniform
p. mean = 0.5, p. var = 0.083333
s. mean = 0.49995, s. var = 0.08335, max = 0.99999, min = 9.3156e-06
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SumRandom
p. mean = 0, p. var = 0.25
s. mean = 0.00079356, s. var = 0.25123, max = 1.4883, min = -1.4611
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|**
SumRandom
p. mean = 0, p. var = 0.16667
s. mean = -0.0019918, s. var = 0.16737, max = 0.99511, min = -0.99786
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|**
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Normal
p. mean = 0, p. var = 1
s. mean = -0.0032337, s. var = 0.99744, max = 4.1587, min = -5.2177
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Cauchy
p. mean = indefinite, p. var = plus-infinity
s. mean = 0.80419, s. var = 2.7224e+05, max = 1.1516e+05, min = -59877
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AsymGenX
p. mean = missing, p. var = missing
s. mean = 9.9999, s. var = 3.9894, max = 19.58, min = 1.4902
Mean and variance should be 10.0 and 4.0
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AsymGenX
p. mean = missing, p. var = missing
s. mean = 0.50012, s. var = 0.083635, max = 0.99999, min = 6.248e-06
Mean and variance should be 0.5 and 0.083333
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|**
SymGenX
p. mean = missing, p. var = missing
s. mean = -0.00015745, s. var = 0.1664, max = 0.99919, min = -0.99559
Mean and variance should be 0 and 0.16667
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Poisson
p. mean = 0.25, p. var = 0.25
s. mean = 0.2503, s. var = 0.25124, max = 5, min = 0
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Poisson
p. mean = 10, p. var = 10
s. mean = 9.9929, s. var = 9.9663, max = 27, min = 0
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Poisson
p. mean = 16, p. var = 16
s. mean = 15.996, s. var = 16.039, max = 38, min = 1
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Binomial
p. mean = 5.4, p. var = 3.78
s. mean = 5.4078, s. var = 3.7748, max = 15, min = 0
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Binomial
p. mean = 5.7, p. var = 3.99
s. mean = 5.704, s. var = 3.9894, max = 15, min = 0
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Binomial
p. mean = 6, p. var = 4.2
s. mean = 5.996, s. var = 4.226, max = 15, min = 0
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Binomial
p. mean = 17.4, p. var = 12.18
s. mean = 17.405, s. var = 12.183, max = 35, min = 2
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Binomial
p. mean = 17.7, p. var = 12.39
s. mean = 17.699, s. var = 12.422, max = 35, min = 2
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Binomial
p. mean = 18, p. var = 12.6
s. mean = 17.99, s. var = 12.515, max = 36, min = 4
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Binomial
p. mean = 0.9, p. var = 0.855
s. mean = 0.90194, s. var = 0.85461, max = 7, min = 0
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Binomial
p. mean = 0.95, p. var = 0.9025
s. mean = 0.9499, s. var = 0.89855, max = 7, min = 0
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Binomial
p. mean = 1, p. var = 0.95
s. mean = 0.99921, s. var = 0.94935, max = 8, min = 0
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Binomial
p. mean = 0.98, p. var = 0.9702
s. mean = 0.98157, s. var = 0.96966, max = 7, min = 0
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Binomial
p. mean = 0.99, p. var = 0.9801
s. mean = 0.99201, s. var = 0.97687, max = 8, min = 0
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Binomial
p. mean = 1, p. var = 0.99
s. mean = 0.99788, s. var = 0.98926, max = 8, min = 0
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Binomial
p. mean = 17.1, p. var = 0.855
s. mean = 17.1, s. var = 0.85559, max = 18, min = 11
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Binomial
p. mean = 18.05, p. var = 0.9025
s. mean = 18.05, s. var = 0.90174, max = 19, min = 11
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Binomial
p. mean = 19, p. var = 0.95
s. mean = 18.997, s. var = 0.95375, max = 20, min = 12
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Binomial
p. mean = 97.02, p. var = 0.9702
s. mean = 97.017, s. var = 0.9764, max = 98, min = 91
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Binomial
p. mean = 98.01, p. var = 0.9801
s. mean = 98.013, s. var = 0.97848, max = 99, min = 91
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Binomial
p. mean = 99, p. var = 0.99
s. mean = 98.999, s. var = 0.98719, max = 100, min = 93
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|*****
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NegativeBinomial
p. mean = 600, p. var = 4200
s. mean = 600.06, s. var = 4184.8, max = 971, min = 364
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NegativeBinomial
p. mean = 99, p. var = 990
s. mean = 99.152, s. var = 989.14, max = 281, min = 10
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|*******
|**
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NegativeBinomial
p. mean = 20.9, p. var = 60.61
s. mean = 20.896, s. var = 60.975, max = 78, min = 0
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NegativeBinomial
p. mean = 1.1, p. var = 1.21
s. mean = 1.0981, s. var = 1.2039, max = 9, min = 0
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|*
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NegativeBinomial
p. mean = 2.85, p. var = 8.265
s. mean = 2.841, s. var = 8.2365, max = 33, min = 0
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|****************
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|****
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NegativeBinomial
p. mean = 1.9, p. var = 5.51
s. mean = 1.899, s. var = 5.5088, max = 29, min = 0
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|**
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NegativeBinomial
p. mean = 5.7, p. var = 114
s. mean = 5.6841, s. var = 114.4, max = 191, min = 0
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|***
|*
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NegativeBinomial
p. mean = 0.57, p. var = 1.653
s. mean = 0.57119, s. var = 1.6673, max = 22, min = 0
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NegativeBinomial
p. mean = 0.015, p. var = 0.01575
s. mean = 0.015155, s. var = 0.015895, max = 3, min = 0
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|******************
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|***
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NegativeBinomial
p. mean = 18.144, p. var = 21.41
s. mean = 18.15, s. var = 21.428, max = 42, min = 2
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|*****************
|********
|****
|*
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ChiSq
p. mean = 3, p. var = 10
s. mean = 2.9951, s. var = 9.9774, max = 40.363, min = 1.6837e-10
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|****
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ChiSq
p. mean = 4, p. var = 12
s. mean = 3.9934, s. var = 12.002, max = 41.413, min = 7.195e-05
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|****
|**
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ChiSq
p. mean = 5, p. var = 14
s. mean = 5.0038, s. var = 14.059, max = 36.399, min = 0.0018844
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|****
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ChiSq
p. mean = 6, p. var = 16
s. mean = 6.0068, s. var = 16.018, max = 42.121, min = 0.0049078
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|***************
|******
|***
|*
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ChiSq
p. mean = 1, p. var = 2
s. mean = 0.99996, s. var = 1.9779, max = 19.277, min = 8.8905e-12
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|********************************
|**************
|******
|**
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ChiSq
p. mean = 2, p. var = 4
s. mean = 2.0101, s. var = 4.0482, max = 30.022, min = 1.286e-06
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|**********************************************
|****************************
|****************
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|****
|**
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ChiSq
p. mean = 3, p. var = 6
s. mean = 2.9991, s. var = 5.9871, max = 25.858, min = 8.9163e-05
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|**************************************************
|******************************
|****************
|********
|***
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ChiSq
p. mean = 4, p. var = 8
s. mean = 3.9999, s. var = 8.019, max = 33.768, min = 0.0027881
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|*************************************
|*******************
|**********
|*****
|**
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Gamma
p. mean = 1, p. var = 1
s. mean = 0.9991, s. var = 0.99949, max = 12.222, min = 1.1793e-06
|*********************************************************************
|**************
|******
|**
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Gamma
p. mean = 0.5, p. var = 0.5
s. mean = 0.50127, s. var = 0.49883, max = 10.602, min = 2.5741e-12
|*********************************************************************
|*************************************
|*******************
|*********
|****
|**
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Gamma
p. mean = 1.01, p. var = 1.01
s. mean = 1.007, s. var = 1.0022, max = 12.51, min = 3.1699e-06
|********************************************
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|*******************************************************
|*************************************
|**********************
|************
|******
|***
|*
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Gamma
p. mean = 2, p. var = 2
s. mean = 1.9999, s. var = 2.0085, max = 14.766, min = 0.0053616
|*********************************************************************
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Pareto
p. mean = plus-infinity, p. var = plus-infinity
s. mean = 1.8228e+05, s. var = 1.2602e+15, max = 1.3147e+10, min = 1
|*********************************************************************
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Pareto
p. mean = 3, p. var = plus-infinity
s. mean = 3.0174, s. var = 1216.2, max = 14299, min = 1
|*********************************************************************
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Pareto
p. mean = 1.6667, p. var = 2.2222
s. mean = 1.6679, s. var = 2.3002, max = 343.92, min = 1
|*********************************************************************
|****
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Pareto
p. mean = 1.2857, p. var = 0.14694
s. mean = 1.2854, s. var = 0.14493, max = 15.143, min = 1
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|**********
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|************************
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|**********
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|**********
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|**********************
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|*********************************
DiscreteGen
p. mean = 3.93, p. var = 10.645
s. mean = 3.9228, s. var = 10.604, max = 9, min = 0
|*********************************************************************
|***************
|******
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|*****
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|******
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|******
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|**************
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|**********************
DiscreteGen
p. mean = 15.24, p. var = 274.16
s. mean = 15.199, s. var = 273.93, max = 48, min = 2
|******************************************************************
|*******************************************************************
|*******************************************************************
|******************************************************************
|*******************************************************************
|*********************************************************************
|*******************************************************************
|********************************************************************
|******************************************************************
|******************************************************************
|******************************************************************
|********************************************************************
|********************************************************************
|*******************************************************************
|*******************************************************************
|********************************************************************
|*******************************************************************
|*******************************************************************
|*******************************************************************
|*******************************************************************
SumRandom
p. mean = -0.5, p. var = 0.083333
s. mean = -0.49943, s. var = 0.083184, max = -3.2163e-06, min = -1
Mean and variance should be -0.5 and 0.083333
|********************************************************************
|********************************************************************
|*******************************************************************
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|*******************************************************************
|********************************************************************
|******************************************************************
|*******************************************************************
|********************************************************************
|********************************************************************
|*********************************************************************
|********************************************************************
|*******************************************************************
|********************************************************************
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|********************************************************************
|*******************************************************************
SumRandom
p. mean = 4.5, p. var = 0.083333
s. mean = 4.5002, s. var = 0.0834, max = 5, min = 4
Mean and variance should be 4.5 and 0.083333
|*********************************************************************
|*******************************************************************
|*******************************************************************
|******************************************************************
|*******************************************************************
|********************************************************************
|*******************************************************************
|********************************************************************
|*******************************************************************
|********************************************************************
|********************************************************************
|*******************************************************************
|*******************************************************************
|*******************************************************************
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|*******************************************************************
SumRandom
p. mean = 4, p. var = 0.33333
s. mean = 3.9994, s. var = 0.3329, max = 5, min = 3
Mean and variance should be 4.0 and 0.33333
|********************************************************************
|*******************************************************************
|********************************************************************
|********************************************************************
|********************************************************************
|*******************************************************************
|********************************************************************
|*******************************************************************
|******************************************************************
|********************************************************************
|*******************************************************************
|*******************************************************************
|********************************************************************
|********************************************************************
|*******************************************************************
|********************************************************************
|*******************************************************************
|*******************************************************************
|*******************************************************************
|*********************************************************************
MixedRandom
p. mean = 0, p. var = 0.33333
s. mean = -0.00020872, s. var = 0.334, max = 0.99999, min = -1
Mean and variance should be 0.0 and 0.33333
|*********************************************************************
|********************************************
|************************************
|*****************************
|*************************
|*********************
|******************
|****************
|**************
|************
|**********
|********
|*******
|*****
|****
|***
|**
|*
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SumRandom
p. mean = 0.25, p. var = 0.048611
s. mean = 0.25032, s. var = 0.048551, max = 0.99802, min = 3.552e-07
Mean and variance should be 0.25 and 0.048611
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|**
|*****
|********
|***********
|***************
|*********************
|****************************
|***************************************
|*********************************************************************
|********************************************************************
|**************************************
|****************************
|*********************
|***************
|***********
|********
|****
|**
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SumRandom
p. mean = 0, p. var = 0.0069444
s. mean = -0.00024806, s. var = 0.0069229, max = 0.24918, min = -0.24906
Mean and variance should be 0.0 and 0.006944
|********************************************************************
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|**********************************
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|*********************************************************************
DiscreteGen
p. mean = 1, p. var = 0.8
s. mean = 1.0009, s. var = 0.79885, max = 2, min = 0
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|*******
|**************************
|******************************************************
|*********************************************************************
|********************************************************
|**************************************
|***********************************
|************************************
|**********************************
|****************************************
|*************************************************************
|********************************************************************
|************************************************
|********************
|****
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SumRandom
p. mean = 11, p. var = 0.925
s. mean = 11, s. var = 0.92553, max = 13.45, min = 8.3546
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|*
|****
|*********************************************************************
|**
|*
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MixedRandom
p. mean = 0, p. var = 20.8
s. mean = 0.0096326, s. var = 20.606, max = 41.243, min = -44.722
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|*
|*
|*********************************************************************
|******
|*
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MixedRandom
p. mean = 0, p. var = 20.8
s. mean = -0.012183, s. var = 20.817, max = 38.955, min = -44.229
|********************************************************************
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|*
|*****
|***********
|*******************
|*************************
|*************************
|*******************
|***********
|*****
|*
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|*********************************************************************
MixedRandom
p. mean = 5, p. var = 13
s. mean = 5.0029, s. var = 13.001, max = 10, min = 0
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|**************************************************************
|*********************************************************************
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SumRandom
p. mean = indefinite, p. var = plus-infinity
s. mean = 1.9972, s. var = 2.2875, max = 141.61, min = -257.5
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|*********************************************************************
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MixedRandom
p. mean = indefinite, p. var = indefinite
s. mean = 0.20447, s. var = 1.5349, max = 158.26, min = -31.206
|**********************************
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|********************************************************************
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|********************************************************************
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|*********************************************************************
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|********************************************************************
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|*********************************
MixedRandom
p. mean = 2.5, p. var = 2.25
s. mean = 2.4986, s. var = 2.2527, max = 5, min = 0
|*******
|***************************************************
|*********************************************************************
|********************
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|************
|**************************************************************
|**************************************************************
|***********
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MixedRandom
p. mean = 5, p. var = 25.25
s. mean = 4.9905, s. var = 25.271, max = 12.03, min = -1.4857
|*********************************************************************
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|********************************************************************
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|********************************************************************
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|********************************************************************
SumRandom
p. mean = missing, p. var = missing
s. mean = 0.83263, s. var = 0.13907, max = 1.3333, min = 0.33333
Mean and variance should be 0.83333 and 0.13889
|********************************************************************
|********************************************************************
|*********************************************************************
|********************************************************************
|********************************************************************
|**********************************
|**********************************
|***********************************
|***********************************
|***********************************
|******************
|******************
|******************
|******************
|******************
|*******
|*******
|*******
|*******
|*******
SumRandom
p. mean = missing, p. var = missing
s. mean = 0.41695, s. var = 0.10412, max = 1.3333, min = 3.6177e-06
Mean and variance should be 0.41667 and 0.10417
|*********************************************************************
|******
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SumRandom
p. mean = missing, p. var = missing
s. mean = 1.2808, s. var = 1.5633, max = 50.203, min = 0.0020787
Mean and variance should be 1.2857 and 1.5869
ChiSquared tests for discrete data
chisq should be less than 95% point in most cases
and 99% point in almost all cases
DiscreteGen: chisq = 10.328; df = 8; 95% pt. = 15.507; 99% pt. = 20.09
DiscreteGen: chisq = 8.644; df = 8; 95% pt. = 15.507; 99% pt. = 20.09
NegativeBinomial: chisq = 29.837; df = 28; 95% pt. = 41.337; 99% pt. = 48.278
NegativeBinomial: chisq = 57.336; df = 46; 95% pt. = 62.83; 99% pt. = 71.202
NegativeBinomial: chisq = 37.62; df = 42; 95% pt. = 58.124; 99% pt. = 66.207
NegativeBinomial: chisq = 146.35; df = 148; 95% pt. = 177.39; 99% pt. = 190.94
NegativeBinomial: chisq = 716.64; df = 779; 95% pt. = 845.05; 99% pt. = 873.74
NegativeBinomial: chisq = 16.685; df = 13; 95% pt. = 22.362; 99% pt. = 27.688
NegativeBinomial: chisq = 29.791; df = 49; 95% pt. = 66.339; 99% pt. = 74.92
NegativeBinomial: chisq = 256.12; df = 269; 95% pt. = 308.26; 99% pt. = 325.88
NegativeBinomial: chisq = 4.7253; df = 5; 95% pt. = 11.07; 99% pt. = 15.086
NegativeBinomial: chisq = 10.449; df = 17; 95% pt. = 27.587; 99% pt. = 33.409
NegativeBinomial: chisq = 69.718; df = 87; 95% pt. = 109.77; 99% pt. = 120.59
Binomial: chisq = 51.199; df = 45; 95% pt. = 61.656; 99% pt. = 69.958
Binomial: chisq = 38.216; df = 39; 95% pt. = 54.572; 99% pt. = 62.429
Binomial: chisq = 17.46; df = 11; 95% pt. = 19.675; 99% pt. = 24.725
Binomial: chisq = 4.5879; df = 8; 95% pt. = 15.507; 99% pt. = 20.09
Binomial: chisq = 20.668; df = 31; 95% pt. = 44.985; 99% pt. = 52.192
Binomial: chisq = 16.956; df = 17; 95% pt. = 27.587; 99% pt. = 33.409
Binomial: chisq = 3.0977; df = 7; 95% pt. = 14.067; 99% pt. = 18.475
Binomial: chisq = 19.566; df = 9; 95% pt. = 16.919; 99% pt. = 21.666
Binomial: chisq = 9.96; df = 7; 95% pt. = 14.067; 99% pt. = 18.475
Poisson: chisq = 6.6606; df = 7; 95% pt. = 14.067; 99% pt. = 18.475
Poisson: chisq = 14.609; df = 17; 95% pt. = 27.587; 99% pt. = 33.409
Poisson: chisq = 20.094; df = 28; 95% pt. = 41.337; 99% pt. = 48.278
Poisson: chisq = 93.709; df = 90; 95% pt. = 113.15; 99% pt. = 124.12
Kolmogorov-Smirnoff tests for continuous distributions
25%, 5%, 1%, .1% upper points are 1.019, 1.358, 1.628, 1.950
5% lower point is 0.520
Values should be mostly less than 5% upper point
and less than 1% point almost always
ChiSq: 0.84996
ChiSq: 0.63548
ChiSq: 0.83843
Pareto: 0.60381
Pareto: 0.54259
Normal: 0.83283
SumRandom: 0.75355
MixedRandom: 0.65278
MixedRandom: 0.64916
SumRandom: 0.70546
MixedRandom: 0.88905
Gamma: 0.90469
Gamma: 0.79434
SumRandom: 0.91984
SumRandom: 1.2616
Gamma: 0.62163
Exponential: 1.0919
Cauchy: 1.0196
SumRandom: 0.64866
Uniform: 0.73842
Combinations and permutations
At this stage just checking that we get a valid permutation or combination
Combinations should be in sorted order
Doing permutations
... select 10 items from 100...119 without replacement
107 109 117 114 104 119 116 112 101 118
111 118 107 101 103 116 119 115 105 114
119 102 113 106 112 118 114 108 105 101
106 107 110 108 112 115 119 104 103 114
117 119 103 110 109 101 118 116 113 112
107 102 101 106 115 109 110 111 114 103
109 114 112 106 110 104 115 117 116 113
111 112 119 116 102 101 115 100 104 113
111 109 104 117 106 114 102 101 112 119
113 114 109 111 107 104 110 118 119 115
... select 10 items from 100...109 without replacement
104 109 105 107 103 102 108 100 101 106
102 106 103 105 101 109 100 104 108 107
102 100 106 109 103 108 104 107 105 101
101 100 106 105 104 109 103 102 108 107
108 109 105 101 100 107 103 104 102 106
106 101 102 104 109 105 107 100 103 108
105 109 102 103 106 108 101 107 100 104
101 108 106 104 100 102 103 105 107 109
106 105 100 107 102 109 101 103 104 108
102 109 103 108 107 100 106 104 105 101
Doing combinations
... select 10 items from 100...119 without replacement
101 102 104 105 108 110 111 114 116 118
100 101 102 104 107 108 109 113 114 116
100 102 105 107 109 110 111 112 114 119
102 103 106 107 108 109 111 112 114 116
101 106 108 110 111 113 114 115 116 119
100 102 103 110 112 113 115 117 118 119
100 101 103 108 109 110 112 114 116 119
101 102 103 104 105 106 108 111 115 117
102 105 106 108 109 110 111 113 114 116
100 106 107 108 109 112 114 115 118 119
... select 10 items from 100...109 without replacement
100 101 102 103 104 105 106 107 108 109
100 101 102 103 104 105 106 107 108 109
100 101 102 103 104 105 106 107 108 109
100 101 102 103 104 105 106 107 108 109
100 101 102 103 104 105 106 107 108 109
100 101 102 103 104 105 106 107 108 109
100 101 102 103 104 105 106 107 108 109
100 101 102 103 104 105 106 107 108 109
100 101 102 103 104 105 106 107 108 109
100 101 102 103 104 105 106 107 108 109
Testing VariPoisson
- columns 2 (mean) and 3 (variance) should be close to column 1
0.25 0.24983 0.2500172211
1 1.000889 1.001333211
4 4.000748 4.003905444
10 10.004478 9.999693947
20 20.000237 20.03760698
30 29.992675 29.97745132
39.5 39.502185 39.3728166
40 40.003102 40.06277444
50 49.996871 50.01437722
59.5 59.50914 59.61066207
60 59.98322 59.96300839
60.5 60.507069 60.44770048
99.5 99.48253 99.52338032
100 99.997676 100.1130787
100.5 100.50061 100.5418222
199.5 199.488005 200.1255682
200 200.011565 199.9481312
200.5 200.497397 200.2209834
299.5 299.489898 300.067054
300 299.999663 300.2542951
300.5 300.479494 300.6219821
399.5 399.510519 399.1791385
400 399.965469 399.5963802
400.5 400.486839 400.6043334
500 500.008641 499.3841857
10000 9999.950105 10002.57253
10000 10000.69425 10010.51534
1e+05 100000.0681 100018.869
1e+05 100001.0468 99905.51609
1e+07 10000000.7 9987834.48
1e+07 10000003.98 10025256.32
Testing VariBinomial
- columns 5 (mean) and 6 (variance) should be close to columns 1 and 4
1 0.2 0.2 0.16 0.199457 0.1596740648
2 0.1 0.2 0.18 0.20029 0.1802460961
5 0.35 1.75 1.1375 1.748817 1.136199237
20 0.2 4 3.2 4.001697 3.200501321
50 0.5 25 12.5 25.003416 12.49420483
100 0.4 40 24 40.007509 23.95852457
200 0.2 40 32 40.003756 32.02917792
500 0.3 150 105 149.992416 104.9703775
1000 0.19 190 153.9 189.966631 153.5776951
1000 0.21 210 165.9 210.004574 166.0020311
10000 0.4 4000 2400 3999.977154 2400.634473
1000000 0.1 1e+05 90000 100000.1219 89963.96041
1000000 0.5 5e+05 2.5e+05 499999.9225 249781.3937
1 0.7 0.7 0.21 0.699797 0.2100813689
2 0.6 1.2 0.48 1.199994 0.4793388793
5 0.9 4.5 0.45 4.500226 0.450058399
20 0.55 11 4.95 11.000111 4.937739925
50 0.9 45 4.5 45.000718 4.497311982
100 0.99 99 0.99 99.000642 0.9888025766
200 0.51 102 49.98 102.011873 50.00480404
500 0.7 350 105 349.992878 104.8549021
1000 0.81 810 153.9 809.987691 153.9387734
1000 0.79 790 165.9 789.990528 165.8014441
10000 0.9 9000 900 8999.989336 900.2510445
1000000 0.55 5.5e+05 2.475e+05 550000.5864 247260.3545
1000000 0.7 7e+05 2.1e+05 699999.7911 210238.6658
Testing VariLogNormal
- columns 4 (mean) and 5 (variance) should be close to columns 1 and 3
0.25 0.5 0.25 0.2503119009 0.2519273557
0.5 1.5 2.25 0.5002616683 2.14422274
1.5 2.5 6.25 1.498565936 6.166010039
2 1 1 1.998513555 0.9986070703
End of tests
(The following memory checks are probably not valid with all
compilers - see documentation)
Checking for lost memory: 8141400 8141400 - ok
Checking for lost memory: 8141400 8141400 - ok
Elapsed (processor) time = 272.8 seconds