======================================================
Command used: wombat --inv animal.gin
======================================================

wombat --inv animal.gin
Script started on 2025-05-26 16:48:32+1000
 WOMBAT 26-05-2025 Maximum no. of threads to be used set to	      8

 WOMBAT: Run to invert a matrix only
 INVERSION: Input file	"			   = animal.gin"
    No. of elements read			   =	    15754
    Max. row no. found				   =	     4901
    Max. column no. found			   =	     4901
    Matrix storage mode 			   = FULL
    Inversion option				   = LAP dpotrf
    Skip (single) "header" line 		   =  T

 Output file: Inverse of full matrix		   = "animal.gin.inv"
 Output file: Diagonal elements of inverse	   = "animal.gin.diainv"
 Output file: Log determinant of input matrix	   = "animal.gin.det"
 No. of non-zero elements			   =	 11688310
 Rank of matrix found				   =	     4901
 Operational zero used				   = 0.100000E-11
 Log determinant of input matrix		   =  2624.82
 Total time used (secs): CPU =		30  System =	      26
 Machine used = "didgeridoo"
 "WOMBAT" has finished !  26/05/2025


17.066u 13.369s 0:26.95 112.8%	0+0k 0+1118992io 0pf+0w

Script done on 2025-05-26 16:48:59+1000
======================================================
Command used: mv -vf animal.gin.inv animal.matrix
======================================================

mv -vf animal.gin.inv animal.matrix
Script started on 2025-05-26 16:48:59+1000
renamed 'animal.gin.inv' -> 'animal.matrix'
0.001u 0.000s 0:00.00 0.0%	0+0k 0+0io 0pf+0w

Script done on 2025-05-26 16:48:59+1000
======================================================
Command used: wombat wombat.par
======================================================

wombat wombat.par
Script started on 2025-05-26 16:48:59+1000
 WOMBAT 26-05-2025 Maximum no. of threads to be used set to	      8

	   1 cwt
	   2 cema
	   3 cimf
	   4 crby
	   5 cp8
	   6 crib
 Will try to allocate large array: "RAWDAT" next
   ... size required		 :	  66409. elements
   ... individual dimensions	 :	     7	      9487
 Sucessfully read RAW data for in-core storage
 No. of records in total			   =	     9487
 No. of records in subset to be used		   =	     9487
 File						   = "animal.gin"
 No. of records 				   =	    15754
 Denseness of matrix				   = 0.131148	 %
 No. of diagonal elements found 		   =	     4901
 No. of zero elements found			   =		0
 No. of elements close to zero			   =		0    0.00%
 Log determinant given				   = -2624.91
 ***** Found more levels of RE in GIN^{-1} than in data
       No. of levels found in data		   =	     1796
       Max. row/column no. in GIN^{-1}		   =	     4901



 Have read					   =	     4901 codes from file "animal.codes"
 Max. number of levels for "animal" set to	   =	     4901
 Will try to allocate large array: "COR_JFIRST" next
   ... size required		 :	   4902. elements
   ... individual dimensions	 :	  4902		 1
 Will try to allocate large array: "COR_JVCOL" next
   ... size required		 :	  15755. elements
   ... individual dimensions	 :	 15755		 1
 Will try to allocate large array: "COR_GZHZ" next
   ... size required		 :	  15755. elements
   ... individual dimensions	 :	 15755		 1
 Successfully allocated arrays for in-core GIN
	1796	   12000 F F F
 Successfully allocated arrays for in-core DATA
 alloc cor nr	     1796	12000 T T T
 No. of "subjects" in data			   =	     1796
 No. of combinations of records 		   =	       10
 No. of effect codes/ind. (maxnr)		   =	       10
 adjact ivcol	 49934178    49934178
 Start of "GENMMD": no. of rows 		   =	    21154
 End of "GENMMD": no of subscripts		   =	   182014
 adjact ivcol	 49934178    49934178
 End of "SMBFCT": maxsub			   =	   144660	 21155
		  maxlnz			   =	  1316304
		  nnops 			   = 0.224695E+09 0.100000E+16
 Change in automatic settings: Reduced rank REML with GIN relationship matrix
 --> this used to be available for (PX)EM and derivative-free algorithms only
 New: Now implemented for AI-REML
 --> this requires *.matrix or *.chlsky file corresponding to *.gin file (see manual)
     and can be demanding in RAM required
 To change back to old scenario specify maximisation algorithm explicitly
 "Super-nodes" :  No. of nodes			   =	     4712
		  Max. size			   =	      735
 nacross T	     1 F
 *** EM round	    0  log L =	-17852.7633	 D =   0.0000	    0.0000	Time	    1	     1
 *** EM round	    1  log L =	-16658.0972	 D =   1194.7	   0.24238	Time	    3	     0
 *** EM round	    2  log L =	-16514.9920	 D =   143.11	   0.10285	Time	    4	     0
 *** EM round	    3  log L =	-16452.5791	 D =   62.413	   0.50816E-01	Time	    3	     0
 *** EM round	    4  log L =	-16416.1600	 D =   36.419	   0.32190E-01	Time	    3	     0
 Input file "animal.matrix" with    11688310  elements
  -->	97.3 % NZ elements (one triangle)
 Mode for calculations set to "DENSE"

 *** AI iterate     5  log L =	-16329.7182	 D =   86.442	   0.18545	Time	   32	    27
 *** AI iterate     6  log L =	-16308.6909	 D =   21.027	   0.49600E-01	Time	    4	     0
 *** AI iterate     7  log L =	-16306.9538	 D =   1.7371	   0.14891E-01	Time	    4	     0
 *** AI iterate     8  log L =	-16306.5905	 D =  0.36329	   0.64974E-02	Time	    5	     0
 *** AI iterate     9  log L =	-16306.4807	 D =  0.10986	   0.43787E-02	Time	    4	     0
 *** AI iterate    10  log L =	-16306.4146	 D =  0.66034E-01  0.35793E-02	Time	    4	     0
 *** AI iterate    11  log L =	-16306.3628	 D =  0.51863E-01  0.32671E-02	Time	    4	     0
 *** AI iterate    12  log L =	-16306.3184	 D =  0.44391E-01  0.30830E-02	Time	    4	     0
 *** AI iterate    13  log L =	-16306.2796	 D =  0.38773E-01  0.29330E-02	Time	    4	     0
 *** AI iterate    14  log L =	-16306.2457	 D =  0.33876E-01  0.27917E-02	Time	    4	     0
 *** AI iterate    15  log L =	-16306.2163	 D =  0.29426E-01  0.26506E-02	Time	    4	     0
 *** AI iterate    16  log L =	-16306.1909	 D =  0.25359E-01  0.25072E-02	Time	    4	     0
 *** AI iterate    17  log L =	-16306.1693	 D =  0.21669E-01  0.23603E-02	Time	    4	     0
 *** AI iterate    18  log L =	-16306.1509	 D =  0.18357E-01  0.22106E-02	Time	    4	     0
 *** AI iterate    19  log L =	-16306.1355	 D =  0.15419E-01  0.20594E-02	Time	    4	     0
 *** AI iterate    20  log L =	-16306.1226	 D =  0.12847E-01  0.19085E-02	Time	    4	     0
 *** AI iterate    21  log L =	-16306.1120	 D =  0.10622E-01  0.17597E-02	Time	    4	     0
 *** AI iterate    22  log L =	-16306.1033	 D =  0.87191E-02  0.16148E-02	Time	    4	     0
 *** AI iterate    23  log L =	-16306.0962	 D =  0.71105E-02  0.14751E-02	Time	    5	     0
 *** AI iterate    24  log L =	-16306.0904	 D =  0.57639E-02  0.13420E-02	Time	    4	     0
 *** AI iterate    25  log L =	-16306.0858	 D =  0.46470E-02  0.12163E-02	Time	    4	     0
 *** AI iterate    26  log L =	-16306.0820	 D =  0.37282E-02  0.10986E-02	Time	    4	     0
 *** AI iterate    27  log L =	-16306.0791	 D =  0.29781E-02  0.98929E-03	Time	    4	     0
 *** AI iterate    28  log L =	-16306.0767	 D =  0.23696E-02  0.88837E-03	Time	    4	     0
 *** AI iterate    29  log L =	-16306.0748	 D =  0.18790E-02  0.79579E-03	Time	    4	     0
 *** AI iterate    30  log L =	-16306.0733	 D =  0.14854E-02  0.71130E-03	Time	    4	     0
 *** AI iterate    31  log L =	-16306.0722	 D =  0.11711E-02  0.63455E-03	Time	    4	     0
 *** AI iterate    32  log L =	-16306.0712	 D =  0.92108E-03  0.56510E-03	Time	    4	     0
 *** AI iterate    33  log L =	-16306.0705	 D =  0.72294E-03  0.50249E-03	Time	    4	     0
 *** AI iterate    34  log L =	-16306.0700	 D =  0.56637E-03  0.44621E-03	Time	    4	     0
 *** AI iterate    35  log L =	-16306.0695	 D =  0.44300E-03  0.39577E-03	Time	    4	     0
 *** AIREML seems to have converged: Change in log L <	0.500000E-03
     Last change in log L			   = 0.442996E-03
     Norm of gradient vector			   = 0.811140E-01 (should be close to 0)
     Newton decrement				   =-0.235136E-03 (should be close to 0)
   1  animal		     19604  zero soln.s       0
 SS residuals	379171.       48573.3	    868.776	  882.489	6437.13       7801.85
 Eigenvalues of AI matrix
    1317.81	   829.471	  731.599	 701.417	683.236        589.354	      493.228	     409.973
    389.061	   366.027	  333.793	 294.117	292.772        276.200	      271.734	     170.529
    126.551	   113.511	  78.6790	 55.4887	40.6611        38.6311	      31.2660	     30.2920
    25.9833	   22.5662	  16.4325	 14.7734	12.2850        10.8437	      8.55985	     6.53340
    5.55716	   5.44643	  5.15113	 4.51841	3.50181        2.93807	     0.235956
 Total time used (secs): CPU =	       187  System =	      49
 Machine used = "didgeridoo"
 "WOMBAT" has finished !  26/05/2025


183.159u 4.846s 0:49.21 382.0%	0+0k 0+15208io 0pf+0w

Script done on 2025-05-26 16:49:49+1000
