======================================================
Command used: wombat ginv.par
======================================================

wombat ginv.par
Script started on 2025-05-26 17:31:16+1000
 WOMBAT 26-05-2025 Maximum no. of threads to be used set to	      8

 HACK_NUMBER NSNPS
 animal.gin
 Colleau's method specified for calculation of A22 - but not needed
 "In core" storage for NRM Inverse switched on
 Pedigree file					   = ../peds.dat
 Total no. of animal IDs found			   =	      130
**************************** Count of "animal" types ****************************
 No. of non-genotyped animals			   =		0
 No. of genotyped animals in total		   =	      130
 Total no. of "animals" 			   =	      130

 No UNgenotyped animals found
 Full GRM inverse specied but no. of SNPs less than no. of genotypes
 No. of genotyped individuals found =	      130
 No. of markers used		    =	      100
 Using WOODBURY form of inverse might be advantageous??
 Begin: read M2 from ../MarkerCounts.dat       sys-time 	    0.0 	    0.0
 tvec4	       100
 chevck marks	      100	  100
 No. of rows in ../MarkerCounts.dat read	   =	      130
 No. of marker allele counts per row read	   =	      100
 End: read M2 from .dat 		       sys-time 	    0.0 	    0.0
 Successfully allocated arrays for in-core NRM
 A22: No. genotyped animals + ancestors 	   =	      130
 End: calculating A22 (Colleau) 	       sys-time 	    0.1 	    0.1
 End: centering M2			       sys-time 	    0.1 	    0.1
 End: calculating GRM			       sys-time 	    0.1 	    0.1
 end calc g22 F
 All animals genotyped: H^{-1} is equal to G^{-1}
 F
 End: inverting g22			       sys-time 	    0.1 	    0.1
 End: inverting a22			       sys-time 	    0.1 	    0.1
 Start writing out "animal.gin"
 H^{-1} : No. of non-zero elements in A^11, A^21   =	   0.0000000
	 0.00000		  alpha 	  0.00000
 Total time used (secs): CPU =		 0  System =	       0
 Machine used = "didgeridoo"
 "WOMBAT" has finished !  26/05/2025


0.245u 0.085s 0:00.13 246.1%	0+0k 0+888io 0pf+0w

Script done on 2025-05-26 17:31:16+1000
======================================================
Command used: wombat snappy.par
======================================================

wombat snappy.par
Script started on 2025-05-26 17:31:16+1000
 WOMBAT 26-05-2025 Maximum no. of threads to be used set to	      8

	  50	      50 0   1.00000
 File						   = "animal.gin"
 No. of records 				   =	     8515
 Denseness of matrix				   =  100.000	 %
 Warning: GIN matrix >75% full - sparse mode
  may take a long time to set up the MME
  use "--dense" instead or store in core ?
 No. of diagonal elements found 		   =	      130
 No. of zero elements found			   =		0
 No. of elements close to zero			   =		0    0.00%
 Log determinant given				   =  0.00000
 Have read					   =	      130 codes from file "animal.codes"
 Max. number of levels for "animal" set to	   =	      130
 Will try to allocate large array: "GGINCORE" next
   ... size required		 :	   8515. elements
   ... individual dimensions	 :	  8515		 1
 No. of "subjects" in data			   =	      130
 No. of combinations of records 		   =		1
 No. of effect codes/ind. (maxnr)		   =		2
 QTLSKIP	   1 eq no	     1
 adjact ivcol	   231678      231678
 Start of "GENMMD": no. of rows 		   =	      131
 End of "GENMMD": no of subscripts		   =	      130
 adjact ivcol	   231678      231678
 adjact ivcol	   231678      231678
 End of "SMBFCT": maxsub			   =	      132	   133
		  maxlnz			   =	     8778
		  nnops 			   =  400862.	  0.100000E+16
 "Super-nodes" :  No. of nodes			   =		1
		  Max. size			   =	      133
 Starting loop over SNPs ...
 Reading SNP allele counts with format: (130i1)

 "Snappy":	   100 cases for	    1  SNPs
 Output file for estimates: "SNPSolutions.dat"
 Total time used (secs): CPU =		 0  System =	       0
 Machine used = "didgeridoo"
 "WOMBAT" has finished !  26/05/2025


0.255u 0.041s 0:00.11 263.6%	0+0k 0+392io 0pf+0w

Script done on 2025-05-26 17:31:16+1000
