Back to Multiple platform build/check report for BioC 3.6
ABCDEFGHIJKLMN[O]PQRSTUVWXYZ

CHECK report for OncoSimulR on veracruz1

This page was generated on 2018-04-12 13:39:00 -0400 (Thu, 12 Apr 2018).

Package 971/1472HostnameOS / ArchINSTALLBUILDCHECKBUILD BIN
OncoSimulR 2.8.0
Ramon Diaz-Uriarte
Snapshot Date: 2018-04-11 16:45:18 -0400 (Wed, 11 Apr 2018)
URL: https://git.bioconductor.org/packages/OncoSimulR
Branch: RELEASE_3_6
Last Commit: 4e3de2b
Last Changed Date: 2017-10-30 12:40:20 -0400 (Mon, 30 Oct 2017)
malbec1 Linux (Ubuntu 16.04.1 LTS) / x86_64  NotNeeded  OK  OK UNNEEDED, same version exists in internal repository
tokay1 Windows Server 2012 R2 Standard / x64  NotNeeded  OK  WARNINGS  OK UNNEEDED, same version exists in internal repository
veracruz1 OS X 10.11.6 El Capitan / x86_64  NotNeeded  OK [ OK ] OK UNNEEDED, same version exists in internal repository

Summary

Package: OncoSimulR
Version: 2.8.0
Command: /Library/Frameworks/R.framework/Versions/Current/Resources/bin/R CMD check --no-vignettes --timings OncoSimulR_2.8.0.tar.gz
StartedAt: 2018-04-12 07:15:28 -0400 (Thu, 12 Apr 2018)
EndedAt: 2018-04-12 07:24:35 -0400 (Thu, 12 Apr 2018)
EllapsedTime: 547.1 seconds
RetCode: 0
Status:  OK 
CheckDir: OncoSimulR.Rcheck
Warnings: 0

Command output

##############################################################################
##############################################################################
###
### Running command:
###
###   /Library/Frameworks/R.framework/Versions/Current/Resources/bin/R CMD check --no-vignettes --timings OncoSimulR_2.8.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/Users/biocbuild/bbs-3.6-bioc/meat/OncoSimulR.Rcheck’
* using R version 3.4.4 (2018-03-15)
* using platform: x86_64-apple-darwin15.6.0 (64-bit)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘OncoSimulR/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘OncoSimulR’ version ‘2.8.0’
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘OncoSimulR’ can be installed ... OK
* checking installed package size ... NOTE
  installed size is  7.5Mb
  sub-directories of 1Mb or more:
    doc   6.5Mb
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... OK
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking loading without being on the library search path ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking line endings in C/C++/Fortran sources/headers ... OK
* checking line endings in Makefiles ... OK
* checking compilation flags in Makevars ... OK
* checking for GNU extensions in Makefiles ... OK
* checking for portable use of $(BLAS_LIBS) and $(LAPACK_LIBS) ... OK
* checking compiled code ... OK
* checking installed files from ‘inst/doc’ ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU or elapsed time > 5s
                user system elapsed
oncoSimulIndiv 9.171  3.099  11.239
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘testthat.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes in ‘inst/doc’ ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE

Status: 1 NOTE
See
  ‘/Users/biocbuild/bbs-3.6-bioc/meat/OncoSimulR.Rcheck/00check.log’
for details.



Installation output

OncoSimulR.Rcheck/00install.out

* installing *source* package ‘OncoSimulR’ ...
** libs
clang++ -std=gnu++11 -I/Library/Frameworks/R.framework/Resources/include -DNDEBUG  -I"/Library/Frameworks/R.framework/Versions/3.4/Resources/library/Rcpp/include" -I/usr/local/include   -fPIC  -Wall -g -O2 -c BNB_nr.cpp -o BNB_nr.o
clang++ -std=gnu++11 -I/Library/Frameworks/R.framework/Resources/include -DNDEBUG  -I"/Library/Frameworks/R.framework/Versions/3.4/Resources/library/Rcpp/include" -I/usr/local/include   -fPIC  -Wall -g -O2 -c BNB_v1.cpp -o BNB_v1.o
clang -I/Library/Frameworks/R.framework/Resources/include -DNDEBUG  -I"/Library/Frameworks/R.framework/Versions/3.4/Resources/library/Rcpp/include" -I/usr/local/include   -fPIC  -Wall -g -O2  -c OncoSimulR_init.c -o OncoSimulR_init.o
clang++ -std=gnu++11 -I/Library/Frameworks/R.framework/Resources/include -DNDEBUG  -I"/Library/Frameworks/R.framework/Versions/3.4/Resources/library/Rcpp/include" -I/usr/local/include   -fPIC  -Wall -g -O2 -c RcppExports.cpp -o RcppExports.o
clang++ -std=gnu++11 -I/Library/Frameworks/R.framework/Resources/include -DNDEBUG  -I"/Library/Frameworks/R.framework/Versions/3.4/Resources/library/Rcpp/include" -I/usr/local/include   -fPIC  -Wall -g -O2 -c accessible_genotypes.cpp -o accessible_genotypes.o
accessible_genotypes.cpp:224:7: warning: unused variable 'numMutdiff' [-Wunused-variable]
  int numMutdiff = 0;
      ^
1 warning generated.
clang++ -std=gnu++11 -I/Library/Frameworks/R.framework/Resources/include -DNDEBUG  -I"/Library/Frameworks/R.framework/Versions/3.4/Resources/library/Rcpp/include" -I/usr/local/include   -fPIC  -Wall -g -O2 -c bnb_common.cpp -o bnb_common.o
clang++ -std=gnu++11 -I/Library/Frameworks/R.framework/Resources/include -DNDEBUG  -I"/Library/Frameworks/R.framework/Versions/3.4/Resources/library/Rcpp/include" -I/usr/local/include   -fPIC  -Wall -g -O2 -c new_restrict.cpp -o new_restrict.o
clang++ -std=gnu++11 -I/Library/Frameworks/R.framework/Resources/include -DNDEBUG  -I"/Library/Frameworks/R.framework/Versions/3.4/Resources/library/Rcpp/include" -I/usr/local/include   -fPIC  -Wall -g -O2 -c new_restrict_former_print_utils.cpp -o new_restrict_former_print_utils.o
clang++ -std=gnu++11 -dynamiclib -Wl,-headerpad_max_install_names -undefined dynamic_lookup -single_module -multiply_defined suppress -L/Library/Frameworks/R.framework/Resources/lib -L/usr/local/lib -o OncoSimulR.so BNB_nr.o BNB_v1.o OncoSimulR_init.o RcppExports.o accessible_genotypes.o bnb_common.o new_restrict.o new_restrict_former_print_utils.o -F/Library/Frameworks/R.framework/.. -framework R -Wl,-framework -Wl,CoreFoundation
installing to /Users/biocbuild/bbs-3.6-bioc/meat/OncoSimulR.Rcheck/OncoSimulR/libs
** R
** data
** inst
** preparing package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (OncoSimulR)

Tests output

OncoSimulR.Rcheck/tests/testthat.Rout


R version 3.4.4 (2018-03-15) -- "Someone to Lean On"
Copyright (C) 2018 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin15.6.0 (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(testthat)
> # library(OncoSimulR)
> 
> test_check("OncoSimulR")
Loading required package: OncoSimulR

 Hitted maxtries. Exiting.
 Hitting max tries is regarded as an error. 

 Hitted maxtries. Exiting.
 Hitting max tries is regarded as an error. 

 Hitted maxtries. Exiting.
 Hitting max tries is regarded as an error. 

 Hitted maxtries. Exiting.
 Hitting max tries is regarded as an error. 

 Hitted maxtries. Exiting.
 Hitting max tries is regarded as an error. 

 Hitted maxtries. Exiting.
 Hitting max tries is regarded as an error. 

 Hitted maxtries. Exiting.
 Hitting max tries is regarded as an error. 

 Hitted maxtries. Exiting.
 Hitting max tries is regarded as an error. 

 ... output from mue11

Individual OncoSimul trajectory with call:
 oncoSimulIndiv(fp = fe31, model = "McFL", mu = 1e-06, detectionSize = 5e+06, 
    initSize = 1e+05, finalTime = 5, onlyCancer = FALSE)

  NumClones TotalPopSize LargestClone MaxNumDrivers MaxDriversLast
1         7        99552        99538             1              0
  NumDriversLargestPop TotalPresentDrivers FinalTime NumIter HittedWallTime
1                    0                   1         5     206          FALSE
  HittedMaxTries     errorMF minDMratio minBMratio OccurringDrivers
1          FALSE 0.001230723    99677.1      1e+05               g2

Final population composition:
  Genotype     N
1          99538
2       g2     0
3       g4     1
4       g7     0
5       g8     8
6      g10     5
7      g11     0

 Hitted wall time. Exiting.
 Hitting wall time is regarded as an error. 

 Using  17400  as seed for C++ generator



*** Looping through 5.2. Iter = 1 


  iteration 1; minNextMutationTime = 11; timeNextPopSample = 1; popParams.size() = 1

 We are SAMPLING at time 1



*** Looping through 5.2. Iter = 2 


  iteration 2; minNextMutationTime = 12; timeNextPopSample = 2; popParams.size() = 1

 We are SAMPLING at time 2



*** Looping through 5.2. Iter = 3 


  iteration 3; minNextMutationTime = 13; timeNextPopSample = 3; popParams.size() = 1

 We are SAMPLING at time 3



*** Looping through 5.2. Iter = 4 


  iteration 4; minNextMutationTime = 14; timeNextPopSample = 4; popParams.size() = 1

 We are SAMPLING at time 4



*** Looping through 5.2. Iter = 5 


  iteration 5; minNextMutationTime = 15; timeNextPopSample = 5; popParams.size() = 1

 We are SAMPLING at time 5



*** Looping through 5.2. Iter = 6 


  iteration 6; minNextMutationTime = 16; timeNextPopSample = 6; popParams.size() = 1

 We are SAMPLING at time 6



*** Looping through 5.2. Iter = 7 


  iteration 7; minNextMutationTime = 17; timeNextPopSample = 7; popParams.size() = 1

 We are SAMPLING at time 7



*** Looping through 5.2. Iter = 8 


  iteration 8; minNextMutationTime = 18; timeNextPopSample = 8; popParams.size() = 1

 We are SAMPLING at time 8



*** Looping through 5.2. Iter = 9 


  iteration 9; minNextMutationTime = 19; timeNextPopSample = 9; popParams.size() = 1

 We are SAMPLING at time 9



*** Looping through 5.2. Iter = 10 


  iteration 10; minNextMutationTime = 20; timeNextPopSample = 10; popParams.size() = 1

 We are SAMPLING at time 10



*** Looping through 5.2. Iter = 11 


  iteration 11; minNextMutationTime = 21; timeNextPopSample = 11; popParams.size() = 1

 We are SAMPLING at time 11



*** Looping through 5.2. Iter = 12 


  iteration 12; minNextMutationTime = 22; timeNextPopSample = 12; popParams.size() = 1

 We are SAMPLING at time 12



*** Looping through 5.2. Iter = 13 


  iteration 13; minNextMutationTime = 23; timeNextPopSample = 13; popParams.size() = 1

 We are SAMPLING at time 13



*** Looping through 5.2. Iter = 14 


  iteration 14; minNextMutationTime = 24; timeNextPopSample = 14; popParams.size() = 1

 We are SAMPLING at time 14



*** Looping through 5.2. Iter = 15 


  iteration 15; minNextMutationTime = 25; timeNextPopSample = 15; popParams.size() = 1

 We are SAMPLING at time 15



*** Looping through 5.2. Iter = 16 


  iteration 16; minNextMutationTime = 26; timeNextPopSample = 16; popParams.size() = 1

 We are SAMPLING at time 16



*** Looping through 5.2. Iter = 17 


  iteration 17; minNextMutationTime = 27; timeNextPopSample = 17; popParams.size() = 1

 We are SAMPLING at time 17



*** Looping through 5.2. Iter = 18 


  iteration 18; minNextMutationTime = 28; timeNextPopSample = 18; popParams.size() = 1

 We are SAMPLING at time 18



*** Looping through 5.2. Iter = 19 


  iteration 19; minNextMutationTime = 29; timeNextPopSample = 19; popParams.size() = 1

 We are SAMPLING at time 19



*** Looping through 5.2. Iter = 20 


  iteration 20; minNextMutationTime = 30; timeNextPopSample = 20; popParams.size() = 1

 We are SAMPLING at time 20



*** Looping through 5.2. Iter = 21 


  iteration 21; minNextMutationTime = 31; timeNextPopSample = 21; popParams.size() = 1

 We are SAMPLING at time 21



*** Looping through 5.2. Iter = 22 


  iteration 22; minNextMutationTime = 32; timeNextPopSample = 22; popParams.size() = 1

 We are SAMPLING at time 22



*** Looping through 5.2. Iter = 23 


  iteration 23; minNextMutationTime = 33; timeNextPopSample = 23; popParams.size() = 1

 We are SAMPLING at time 23



*** Looping through 5.2. Iter = 24 


  iteration 24; minNextMutationTime = 34; timeNextPopSample = 24; popParams.size() = 1

 We are SAMPLING at time 24



*** Looping through 5.2. Iter = 25 


  iteration 25; minNextMutationTime = 35; timeNextPopSample = 25; popParams.size() = 1

 We are SAMPLING at time 25



*** Looping through 5.2. Iter = 26 


  iteration 26; minNextMutationTime = 36; timeNextPopSample = 26; popParams.size() = 1

 We are SAMPLING at time 26



*** Looping through 5.2. Iter = 27 


  iteration 27; minNextMutationTime = 37; timeNextPopSample = 27; popParams.size() = 1

 We are SAMPLING at time 27



*** Looping through 5.2. Iter = 28 


  iteration 28; minNextMutationTime = 27.4816; timeNextPopSample = 28; popParams.size() = 1

     Creating new species   1         from species 0


*** Looping through 5.2. Iter = 29 


  iteration 29; minNextMutationTime = 38; timeNextPopSample = 28; popParams.size() = 2

 We are SAMPLING at time 28



*** Looping through 5.2. Iter = 30 


  iteration 30; minNextMutationTime = 39; timeNextPopSample = 29; popParams.size() = 2

 We are SAMPLING at time 29



*** Looping through 5.2. Iter = 31 


  iteration 31; minNextMutationTime = 40; timeNextPopSample = 30; popParams.size() = 1

 We are SAMPLING at time 30



*** Looping through 5.2. Iter = 32 


  iteration 32; minNextMutationTime = 30.8538; timeNextPopSample = 31; popParams.size() = 1

     Creating new species   1         from species 0


*** Looping through 5.2. Iter = 33 


  iteration 33; minNextMutationTime = 41; timeNextPopSample = 31; popParams.size() = 2

 We are SAMPLING at time 31



*** Looping through 5.2. Iter = 34 


  iteration 34; minNextMutationTime = 42; timeNextPopSample = 32; popParams.size() = 2

 We are SAMPLING at time 32



*** Looping through 5.2. Iter = 35 


  iteration 35; minNextMutationTime = 43; timeNextPopSample = 33; popParams.size() = 1

 We are SAMPLING at time 33



*** Looping through 5.2. Iter = 36 


  iteration 36; minNextMutationTime = 44; timeNextPopSample = 34; popParams.size() = 1

 We are SAMPLING at time 34



*** Looping through 5.2. Iter = 37 


  iteration 37; minNextMutationTime = 45; timeNextPopSample = 35; popParams.size() = 1

 We are SAMPLING at time 35



*** Looping through 5.2. Iter = 38 


  iteration 38; minNextMutationTime = 46; timeNextPopSample = 36; popParams.size() = 1

 We are SAMPLING at time 36



*** Looping through 5.2. Iter = 39 


  iteration 39; minNextMutationTime = 47; timeNextPopSample = 37; popParams.size() = 1

 We are SAMPLING at time 37



*** Looping through 5.2. Iter = 40 


  iteration 40; minNextMutationTime = 37.6018; timeNextPopSample = 38; popParams.size() = 1

     Creating new species   1         from species 0


*** Looping through 5.2. Iter = 41 


  iteration 41; minNextMutationTime = 48; timeNextPopSample = 38; popParams.size() = 2

 We are SAMPLING at time 38



*** Looping through 5.2. Iter = 42 


  iteration 42; minNextMutationTime = 49; timeNextPopSample = 39; popParams.size() = 2

 We are SAMPLING at time 39



*** Looping through 5.2. Iter = 43 


  iteration 43; minNextMutationTime = 50; timeNextPopSample = 40; popParams.size() = 2

 We are SAMPLING at time 40



*** Looping through 5.2. Iter = 44 


  iteration 44; minNextMutationTime = 51; timeNextPopSample = 41; popParams.size() = 2

 We are SAMPLING at time 41



*** Looping through 5.2. Iter = 45 


  iteration 45; minNextMutationTime = 52; timeNextPopSample = 42; popParams.size() = 1

 We are SAMPLING at time 42



*** Looping through 5.2. Iter = 46 


  iteration 46; minNextMutationTime = 53; timeNextPopSample = 43; popParams.size() = 1

 We are SAMPLING at time 43



*** Looping through 5.2. Iter = 47 


  iteration 47; minNextMutationTime = 43.5756; timeNextPopSample = 44; popParams.size() = 1

     Creating new species   1         from species 0


*** Looping through 5.2. Iter = 48 


  iteration 48; minNextMutationTime = 54; timeNextPopSample = 44; popParams.size() = 2

 We are SAMPLING at time 44



*** Looping through 5.2. Iter = 49 


  iteration 49; minNextMutationTime = 55; timeNextPopSample = 45; popParams.size() = 2

 We are SAMPLING at time 45



*** Looping through 5.2. Iter = 50 


  iteration 50; minNextMutationTime = 56; timeNextPopSample = 46; popParams.size() = 1

 We are SAMPLING at time 46



*** Looping through 5.2. Iter = 51 


  iteration 51; minNextMutationTime = 46.7129; timeNextPopSample = 47; popParams.size() = 1

     Creating new species   1         from species 0


*** Looping through 5.2. Iter = 52 


  iteration 52; minNextMutationTime = 57; timeNextPopSample = 47; popParams.size() = 2

 We are SAMPLING at time 47



*** Looping through 5.2. Iter = 53 


  iteration 53; minNextMutationTime = 58; timeNextPopSample = 48; popParams.size() = 1

 We are SAMPLING at time 48



*** Looping through 5.2. Iter = 54 


  iteration 54; minNextMutationTime = 59; timeNextPopSample = 49; popParams.size() = 1

 We are SAMPLING at time 49



*** Looping through 5.2. Iter = 55 


  iteration 55; minNextMutationTime = 60; timeNextPopSample = 50; popParams.size() = 1

 We are SAMPLING at time 50



*** Looping through 5.2. Iter = 56 


  iteration 56; minNextMutationTime = 61; timeNextPopSample = 51; popParams.size() = 1

 We are SAMPLING at time 51



*** Looping through 5.2. Iter = 57 


  iteration 57; minNextMutationTime = 62; timeNextPopSample = 52; popParams.size() = 1

 We are SAMPLING at time 52



*** Looping through 5.2. Iter = 58 


  iteration 58; minNextMutationTime = 63; timeNextPopSample = 53; popParams.size() = 1

 We are SAMPLING at time 53



*** Looping through 5.2. Iter = 59 


  iteration 59; minNextMutationTime = 64; timeNextPopSample = 54; popParams.size() = 1

 We are SAMPLING at time 54



*** Looping through 5.2. Iter = 60 


  iteration 60; minNextMutationTime = 65; timeNextPopSample = 55; popParams.size() = 1

 We are SAMPLING at time 55



*** Looping through 5.2. Iter = 61 


  iteration 61; minNextMutationTime = 66; timeNextPopSample = 56; popParams.size() = 1

 We are SAMPLING at time 56



*** Looping through 5.2. Iter = 62 


  iteration 62; minNextMutationTime = 67; timeNextPopSample = 57; popParams.size() = 1

 We are SAMPLING at time 57



*** Looping through 5.2. Iter = 63 


  iteration 63; minNextMutationTime = 68; timeNextPopSample = 58; popParams.size() = 1

 We are SAMPLING at time 58



*** Looping through 5.2. Iter = 64 


  iteration 64; minNextMutationTime = 69; timeNextPopSample = 59; popParams.size() = 1

 We are SAMPLING at time 59



*** Looping through 5.2. Iter = 65 


  iteration 65; minNextMutationTime = 70; timeNextPopSample = 60; popParams.size() = 1

 We are SAMPLING at time 60



*** Looping through 5.2. Iter = 66 


  iteration 66; minNextMutationTime = 60.5645; timeNextPopSample = 61; popParams.size() = 1

     Creating new species   1         from species 0


*** Looping through 5.2. Iter = 67 


  iteration 67; minNextMutationTime = 71; timeNextPopSample = 61; popParams.size() = 2

 We are SAMPLING at time 61



*** Looping through 5.2. Iter = 68 


  iteration 68; minNextMutationTime = 72; timeNextPopSample = 62; popParams.size() = 2

 We are SAMPLING at time 62



*** Looping through 5.2. Iter = 69 


  iteration 69; minNextMutationTime = 73; timeNextPopSample = 63; popParams.size() = 1

 We are SAMPLING at time 63



*** Looping through 5.2. Iter = 70 


  iteration 70; minNextMutationTime = 74; timeNextPopSample = 64; popParams.size() = 1

 We are SAMPLING at time 64



*** Looping through 5.2. Iter = 71 


  iteration 71; minNextMutationTime = 75; timeNextPopSample = 65; popParams.size() = 1

 We are SAMPLING at time 65



*** Looping through 5.2. Iter = 72 


  iteration 72; minNextMutationTime = 65.842; timeNextPopSample = 66; popParams.size() = 1

     Creating new species   1         from species 0


*** Looping through 5.2. Iter = 73 


  iteration 73; minNextMutationTime = 76; timeNextPopSample = 66; popParams.size() = 2

 We are SAMPLING at time 66



*** Looping through 5.2. Iter = 74 


  iteration 74; minNextMutationTime = 77; timeNextPopSample = 67; popParams.size() = 1

 We are SAMPLING at time 67



*** Looping through 5.2. Iter = 75 


  iteration 75; minNextMutationTime = 78; timeNextPopSample = 68; popParams.size() = 1

 We are SAMPLING at time 68



*** Looping through 5.2. Iter = 76 


  iteration 76; minNextMutationTime = 79; timeNextPopSample = 69; popParams.size() = 1

 We are SAMPLING at time 69



*** Looping through 5.2. Iter = 77 


  iteration 77; minNextMutationTime = 80; timeNextPopSample = 70; popParams.size() = 1

 We are SAMPLING at time 70



*** Looping through 5.2. Iter = 78 


  iteration 78; minNextMutationTime = 81; timeNextPopSample = 71; popParams.size() = 1

 We are SAMPLING at time 71



*** Looping through 5.2. Iter = 79 


  iteration 79; minNextMutationTime = 82; timeNextPopSample = 72; popParams.size() = 1

 We are SAMPLING at time 72



*** Looping through 5.2. Iter = 80 


  iteration 80; minNextMutationTime = 83; timeNextPopSample = 73; popParams.size() = 1

 We are SAMPLING at time 73



*** Looping through 5.2. Iter = 81 


  iteration 81; minNextMutationTime = 84; timeNextPopSample = 74; popParams.size() = 1

 We are SAMPLING at time 74



*** Looping through 5.2. Iter = 82 


  iteration 82; minNextMutationTime = 85; timeNextPopSample = 75; popParams.size() = 1

 We are SAMPLING at time 75



*** Looping through 5.2. Iter = 83 


  iteration 83; minNextMutationTime = 86; timeNextPopSample = 76; popParams.size() = 1

 We are SAMPLING at time 76



*** Looping through 5.2. Iter = 84 


  iteration 84; minNextMutationTime = 87; timeNextPopSample = 77; popParams.size() = 1

 We are SAMPLING at time 77



*** Looping through 5.2. Iter = 85 


  iteration 85; minNextMutationTime = 88; timeNextPopSample = 78; popParams.size() = 1

 We are SAMPLING at time 78



*** Looping through 5.2. Iter = 86 


  iteration 86; minNextMutationTime = 89; timeNextPopSample = 79; popParams.size() = 1

 We are SAMPLING at time 79



*** Looping through 5.2. Iter = 87 


  iteration 87; minNextMutationTime = 90; timeNextPopSample = 80; popParams.size() = 1

 We are SAMPLING at time 80



*** Looping through 5.2. Iter = 88 


  iteration 88; minNextMutationTime = 91; timeNextPopSample = 81; popParams.size() = 1

 We are SAMPLING at time 81



*** Looping through 5.2. Iter = 89 


  iteration 89; minNextMutationTime = 92; timeNextPopSample = 82; popParams.size() = 1

 We are SAMPLING at time 82



*** Looping through 5.2. Iter = 90 


  iteration 90; minNextMutationTime = 93; timeNextPopSample = 83; popParams.size() = 1

 We are SAMPLING at time 83



*** Looping through 5.2. Iter = 91 


  iteration 91; minNextMutationTime = 94; timeNextPopSample = 84; popParams.size() = 1

 We are SAMPLING at time 84



*** Looping through 5.2. Iter = 92 


  iteration 92; minNextMutationTime = 95; timeNextPopSample = 85; popParams.size() = 1

 We are SAMPLING at time 85



*** Looping through 5.2. Iter = 93 


  iteration 93; minNextMutationTime = 96; timeNextPopSample = 86; popParams.size() = 1

 We are SAMPLING at time 86



*** Looping through 5.2. Iter = 94 


  iteration 94; minNextMutationTime = 86.7287; timeNextPopSample = 87; popParams.size() = 1

     Creating new species   1         from species 0


*** Looping through 5.2. Iter = 95 


  iteration 95; minNextMutationTime = 97; timeNextPopSample = 87; popParams.size() = 2

 We are SAMPLING at time 87



*** Looping through 5.2. Iter = 96 


  iteration 96; minNextMutationTime = 98; timeNextPopSample = 88; popParams.size() = 1

 We are SAMPLING at time 88



*** Looping through 5.2. Iter = 97 


  iteration 97; minNextMutationTime = 99; timeNextPopSample = 89; popParams.size() = 1

 We are SAMPLING at time 89



*** Looping through 5.2. Iter = 98 


  iteration 98; minNextMutationTime = 100; timeNextPopSample = 90; popParams.size() = 1

 We are SAMPLING at time 90



*** Looping through 5.2. Iter = 99 


  iteration 99; minNextMutationTime = 101; timeNextPopSample = 91; popParams.size() = 1

 We are SAMPLING at time 91



*** Looping through 5.2. Iter = 100 


  iteration 100; minNextMutationTime = 102; timeNextPopSample = 92; popParams.size() = 1

 We are SAMPLING at time 92



*** Looping through 5.2. Iter = 101 


  iteration 101; minNextMutationTime = 103; timeNextPopSample = 93; popParams.size() = 1

 We are SAMPLING at time 93



*** Looping through 5.2. Iter = 102 


  iteration 102; minNextMutationTime = 104; timeNextPopSample = 94; popParams.size() = 1

 We are SAMPLING at time 94



*** Looping through 5.2. Iter = 103 


  iteration 103; minNextMutationTime = 105; timeNextPopSample = 95; popParams.size() = 1

 We are SAMPLING at time 95



*** Looping through 5.2. Iter = 104 


  iteration 104; minNextMutationTime = 106; timeNextPopSample = 96; popParams.size() = 1

 We are SAMPLING at time 96



*** Looping through 5.2. Iter = 105 


  iteration 105; minNextMutationTime = 107; timeNextPopSample = 97; popParams.size() = 1

 We are SAMPLING at time 97



*** Looping through 5.2. Iter = 106 


  iteration 106; minNextMutationTime = 108; timeNextPopSample = 98; popParams.size() = 1

 We are SAMPLING at time 98



*** Looping through 5.2. Iter = 107 


  iteration 107; minNextMutationTime = 109; timeNextPopSample = 99; popParams.size() = 1

 We are SAMPLING at time 99



*** Looping through 5.2. Iter = 108 


  iteration 108; minNextMutationTime = 99.3919; timeNextPopSample = 100; popParams.size() = 1

     Creating new species   1         from species 0


*** Looping through 5.2. Iter = 109 


  iteration 109; minNextMutationTime = 110; timeNextPopSample = 100; popParams.size() = 2

 We are SAMPLING at time 100



*** Looping through 5.2. Iter = 110 


  iteration 110; minNextMutationTime = 111; timeNextPopSample = 101; popParams.size() = 2

 We are SAMPLING at time 101



*** Looping through 5.2. Iter = 111 


  iteration 111; minNextMutationTime = 112; timeNextPopSample = 102; popParams.size() = 2

 We are SAMPLING at time 102



*** Looping through 5.2. Iter = 112 


  iteration 112; minNextMutationTime = 113; timeNextPopSample = 103; popParams.size() = 2

 We are SAMPLING at time 103



*** Looping through 5.2. Iter = 113 


  iteration 113; minNextMutationTime = 114; timeNextPopSample = 104; popParams.size() = 2

 We are SAMPLING at time 104



*** Looping through 5.2. Iter = 114 


  iteration 114; minNextMutationTime = 115; timeNextPopSample = 105; popParams.size() = 2

 We are SAMPLING at time 105



*** Looping through 5.2. Iter = 115 


  iteration 115; minNextMutationTime = 116; timeNextPopSample = 106; popParams.size() = 2

 We are SAMPLING at time 106



*** Looping through 5.2. Iter = 116 


  iteration 116; minNextMutationTime = 117; timeNextPopSample = 107; popParams.size() = 2

 We are SAMPLING at time 107



*** Looping through 5.2. Iter = 117 


  iteration 117; minNextMutationTime = 118; timeNextPopSample = 108; popParams.size() = 2

 We are SAMPLING at time 108



*** Looping through 5.2. Iter = 118 


  iteration 118; minNextMutationTime = 119; timeNextPopSample = 109; popParams.size() = 2

 We are SAMPLING at time 109



*** Looping through 5.2. Iter = 119 


  iteration 119; minNextMutationTime = 120; timeNextPopSample = 110; popParams.size() = 2

 We are SAMPLING at time 110



*** Looping through 5.2. Iter = 120 


  iteration 120; minNextMutationTime = 121; timeNextPopSample = 111; popParams.size() = 2

 We are SAMPLING at time 111



*** Looping through 5.2. Iter = 121 


  iteration 121; minNextMutationTime = 122; timeNextPopSample = 112; popParams.size() = 2

 We are SAMPLING at time 112



*** Looping through 5.2. Iter = 122 


  iteration 122; minNextMutationTime = 123; timeNextPopSample = 113; popParams.size() = 1

 We are SAMPLING at time 113



*** Looping through 5.2. Iter = 123 


  iteration 123; minNextMutationTime = 124; timeNextPopSample = 114; popParams.size() = 1

 We are SAMPLING at time 114



*** Looping through 5.2. Iter = 124 


  iteration 124; minNextMutationTime = 125; timeNextPopSample = 115; popParams.size() = 1

 We are SAMPLING at time 115



*** Looping through 5.2. Iter = 125 


  iteration 125; minNextMutationTime = 126; timeNextPopSample = 116; popParams.size() = 1

 We are SAMPLING at time 116



*** Looping through 5.2. Iter = 126 


  iteration 126; minNextMutationTime = 127; timeNextPopSample = 117; popParams.size() = 1

 We are SAMPLING at time 117



*** Looping through 5.2. Iter = 127 


  iteration 127; minNextMutationTime = 128; timeNextPopSample = 118; popParams.size() = 1

 We are SAMPLING at time 118



*** Looping through 5.2. Iter = 128 


  iteration 128; minNextMutationTime = 129; timeNextPopSample = 119; popParams.size() = 1

 We are SAMPLING at time 119



*** Looping through 5.2. Iter = 129 


  iteration 129; minNextMutationTime = 119.745; timeNextPopSample = 120; popParams.size() = 1

     Creating new species   1         from species 0


*** Looping through 5.2. Iter = 130 


  iteration 130; minNextMutationTime = 130; timeNextPopSample = 120; popParams.size() = 2

 We are SAMPLING at time 120



*** Looping through 5.2. Iter = 131 


  iteration 131; minNextMutationTime = 131; timeNextPopSample = 121; popParams.size() = 2

 We are SAMPLING at time 121



*** Looping through 5.2. Iter = 132 


  iteration 132; minNextMutationTime = 132; timeNextPopSample = 122; popParams.size() = 2

 We are SAMPLING at time 122



*** Looping through 5.2. Iter = 133 


  iteration 133; minNextMutationTime = 133; timeNextPopSample = 123; popParams.size() = 2

 We are SAMPLING at time 123



*** Looping through 5.2. Iter = 134 


  iteration 134; minNextMutationTime = 134; timeNextPopSample = 124; popParams.size() = 2

 We are SAMPLING at time 124



*** Looping through 5.2. Iter = 135 


  iteration 135; minNextMutationTime = 135; timeNextPopSample = 125; popParams.size() = 2

 We are SAMPLING at time 125



*** Looping through 5.2. Iter = 136 


  iteration 136; minNextMutationTime = 136; timeNextPopSample = 126; popParams.size() = 2

 We are SAMPLING at time 126



*** Looping through 5.2. Iter = 137 


  iteration 137; minNextMutationTime = 137; timeNextPopSample = 127; popParams.size() = 2

 We are SAMPLING at time 127



*** Looping through 5.2. Iter = 138 


  iteration 138; minNextMutationTime = 138; timeNextPopSample = 128; popParams.size() = 2

 We are SAMPLING at time 128



*** Looping through 5.2. Iter = 139 


  iteration 139; minNextMutationTime = 128.21; timeNextPopSample = 129; popParams.size() = 2

     Creating new species   2         from species 0


*** Looping through 5.2. Iter = 140 


  iteration 140; minNextMutationTime = 139; timeNextPopSample = 129; popParams.size() = 3

 We are SAMPLING at time 129



*** Looping through 5.2. Iter = 141 


  iteration 141; minNextMutationTime = 140; timeNextPopSample = 130; popParams.size() = 3

 We are SAMPLING at time 130



*** Looping through 5.2. Iter = 142 


  iteration 142; minNextMutationTime = 141; timeNextPopSample = 131; popParams.size() = 2

 We are SAMPLING at time 131



*** Looping through 5.2. Iter = 143 


  iteration 143; minNextMutationTime = 142; timeNextPopSample = 132; popParams.size() = 2

 We are SAMPLING at time 132



*** Looping through 5.2. Iter = 144 


  iteration 144; minNextMutationTime = 143; timeNextPopSample = 133; popParams.size() = 2

 We are SAMPLING at time 133



*** Looping through 5.2. Iter = 145 


  iteration 145; minNextMutationTime = 144; timeNextPopSample = 134; popParams.size() = 2

 We are SAMPLING at time 134



*** Looping through 5.2. Iter = 146 


  iteration 146; minNextMutationTime = 145; timeNextPopSample = 135; popParams.size() = 2

 We are SAMPLING at time 135



*** Looping through 5.2. Iter = 147 


  iteration 147; minNextMutationTime = 146; timeNextPopSample = 136; popParams.size() = 1

 We are SAMPLING at time 136



*** Looping through 5.2. Iter = 148 


  iteration 148; minNextMutationTime = 147; timeNextPopSample = 137; popParams.size() = 1

 We are SAMPLING at time 137



*** Looping through 5.2. Iter = 149 


  iteration 149; minNextMutationTime = 148; timeNextPopSample = 138; popParams.size() = 1

 We are SAMPLING at time 138



*** Looping through 5.2. Iter = 150 


  iteration 150; minNextMutationTime = 149; timeNextPopSample = 139; popParams.size() = 1

 We are SAMPLING at time 139



*** Looping through 5.2. Iter = 151 


  iteration 151; minNextMutationTime = 150; timeNextPopSample = 140; popParams.size() = 1

 We are SAMPLING at time 140



*** Looping through 5.2. Iter = 152 


  iteration 152; minNextMutationTime = 151; timeNextPopSample = 141; popParams.size() = 1

 We are SAMPLING at time 141



*** Looping through 5.2. Iter = 153 


  iteration 153; minNextMutationTime = 152; timeNextPopSample = 142; popParams.size() = 1

 We are SAMPLING at time 142



*** Looping through 5.2. Iter = 154 


  iteration 154; minNextMutationTime = 153; timeNextPopSample = 143; popParams.size() = 1

 We are SAMPLING at time 143



*** Looping through 5.2. Iter = 155 


  iteration 155; minNextMutationTime = 143.599; timeNextPopSample = 144; popParams.size() = 1

     Creating new species   1         from species 0


*** Looping through 5.2. Iter = 156 


  iteration 156; minNextMutationTime = 154; timeNextPopSample = 144; popParams.size() = 2

 We are SAMPLING at time 144



*** Looping through 5.2. Iter = 157 


  iteration 157; minNextMutationTime = 155; timeNextPopSample = 145; popParams.size() = 2

 We are SAMPLING at time 145



*** Looping through 5.2. Iter = 158 


  iteration 158; minNextMutationTime = 156; timeNextPopSample = 146; popParams.size() = 2

 We are SAMPLING at time 146



*** Looping through 5.2. Iter = 159 


  iteration 159; minNextMutationTime = 157; timeNextPopSample = 147; popParams.size() = 2

 We are SAMPLING at time 147



*** Looping through 5.2. Iter = 160 


  iteration 160; minNextMutationTime = 158; timeNextPopSample = 148; popParams.size() = 2

 We are SAMPLING at time 148



*** Looping through 5.2. Iter = 161 


  iteration 161; minNextMutationTime = 159; timeNextPopSample = 149; popParams.size() = 1

 We are SAMPLING at time 149



*** Looping through 5.2. Iter = 162 


  iteration 162; minNextMutationTime = 160; timeNextPopSample = 150; popParams.size() = 1

 We are SAMPLING at time 150



*** Looping through 5.2. Iter = 163 


  iteration 163; minNextMutationTime = 161; timeNextPopSample = 151; popParams.size() = 1

 We are SAMPLING at time 151



*** Looping through 5.2. Iter = 164 


  iteration 164; minNextMutationTime = 162; timeNextPopSample = 152; popParams.size() = 1

 We are SAMPLING at time 152



*** Looping through 5.2. Iter = 165 


  iteration 165; minNextMutationTime = 163; timeNextPopSample = 153; popParams.size() = 1

 We are SAMPLING at time 153



*** Looping through 5.2. Iter = 166 


  iteration 166; minNextMutationTime = 164; timeNextPopSample = 154; popParams.size() = 1

 We are SAMPLING at time 154



*** Looping through 5.2. Iter = 167 


  iteration 167; minNextMutationTime = 165; timeNextPopSample = 155; popParams.size() = 1

 We are SAMPLING at time 155



*** Looping through 5.2. Iter = 168 


  iteration 168; minNextMutationTime = 166; timeNextPopSample = 156; popParams.size() = 1

 We are SAMPLING at time 156



*** Looping through 5.2. Iter = 169 


  iteration 169; minNextMutationTime = 167; timeNextPopSample = 157; popParams.size() = 1

 We are SAMPLING at time 157



*** Looping through 5.2. Iter = 170 


  iteration 170; minNextMutationTime = 168; timeNextPopSample = 158; popParams.size() = 1

 We are SAMPLING at time 158



*** Looping through 5.2. Iter = 171 


  iteration 171; minNextMutationTime = 169; timeNextPopSample = 159; popParams.size() = 1

 We are SAMPLING at time 159



*** Looping through 5.2. Iter = 172 


  iteration 172; minNextMutationTime = 170; timeNextPopSample = 160; popParams.size() = 1

 We are SAMPLING at time 160



*** Looping through 5.2. Iter = 173 


  iteration 173; minNextMutationTime = 171; timeNextPopSample = 161; popParams.size() = 1

 We are SAMPLING at time 161



*** Looping through 5.2. Iter = 174 


  iteration 174; minNextMutationTime = 172; timeNextPopSample = 162; popParams.size() = 1

 We are SAMPLING at time 162



*** Looping through 5.2. Iter = 175 


  iteration 175; minNextMutationTime = 173; timeNextPopSample = 163; popParams.size() = 1

 We are SAMPLING at time 163



*** Looping through 5.2. Iter = 176 


  iteration 176; minNextMutationTime = 174; timeNextPopSample = 164; popParams.size() = 1

 We are SAMPLING at time 164



*** Looping through 5.2. Iter = 177 


  iteration 177; minNextMutationTime = 175; timeNextPopSample = 165; popParams.size() = 1

 We are SAMPLING at time 165



*** Looping through 5.2. Iter = 178 


  iteration 178; minNextMutationTime = 176; timeNextPopSample = 166; popParams.size() = 1

 We are SAMPLING at time 166



*** Looping through 5.2. Iter = 179 


  iteration 179; minNextMutationTime = 177; timeNextPopSample = 167; popParams.size() = 1

 We are SAMPLING at time 167



*** Looping through 5.2. Iter = 180 


  iteration 180; minNextMutationTime = 178; timeNextPopSample = 168; popParams.size() = 1

 We are SAMPLING at time 168



*** Looping through 5.2. Iter = 181 


  iteration 181; minNextMutationTime = 179; timeNextPopSample = 169; popParams.size() = 1

 We are SAMPLING at time 169



*** Looping through 5.2. Iter = 182 


  iteration 182; minNextMutationTime = 169.627; timeNextPopSample = 170; popParams.size() = 1

     Creating new species   1         from species 0


*** Looping through 5.2. Iter = 183 


  iteration 183; minNextMutationTime = 180; timeNextPopSample = 170; popParams.size() = 2

 We are SAMPLING at time 170



*** Looping through 5.2. Iter = 184 


  iteration 184; minNextMutationTime = 181; timeNextPopSample = 171; popParams.size() = 1

 We are SAMPLING at time 171



*** Looping through 5.2. Iter = 185 


  iteration 185; minNextMutationTime = 182; timeNextPopSample = 172; popParams.size() = 1

 We are SAMPLING at time 172



*** Looping through 5.2. Iter = 186 


  iteration 186; minNextMutationTime = 183; timeNextPopSample = 173; popParams.size() = 1

 We are SAMPLING at time 173



*** Looping through 5.2. Iter = 187 


  iteration 187; minNextMutationTime = 184; timeNextPopSample = 174; popParams.size() = 1

 We are SAMPLING at time 174



*** Looping through 5.2. Iter = 188 


  iteration 188; minNextMutationTime = 185; timeNextPopSample = 175; popParams.size() = 1

 We are SAMPLING at time 175



*** Looping through 5.2. Iter = 189 


  iteration 189; minNextMutationTime = 186; timeNextPopSample = 176; popParams.size() = 1

 We are SAMPLING at time 176



*** Looping through 5.2. Iter = 190 


  iteration 190; minNextMutationTime = 176.162; timeNextPopSample = 177; popParams.size() = 1

     Creating new species   1         from species 0


*** Looping through 5.2. Iter = 191 


  iteration 191; minNextMutationTime = 187; timeNextPopSample = 177; popParams.size() = 2

 We are SAMPLING at time 177



*** Looping through 5.2. Iter = 192 


  iteration 192; minNextMutationTime = 188; timeNextPopSample = 178; popParams.size() = 1

 We are SAMPLING at time 178



*** Looping through 5.2. Iter = 193 


  iteration 193; minNextMutationTime = 189; timeNextPopSample = 179; popParams.size() = 1

 We are SAMPLING at time 179



*** Looping through 5.2. Iter = 194 


  iteration 194; minNextMutationTime = 190; timeNextPopSample = 180; popParams.size() = 1

 We are SAMPLING at time 180



*** Looping through 5.2. Iter = 195 


  iteration 195; minNextMutationTime = 191; timeNextPopSample = 181; popParams.size() = 1

 We are SAMPLING at time 181



*** Looping through 5.2. Iter = 196 


  iteration 196; minNextMutationTime = 192; timeNextPopSample = 182; popParams.size() = 1

 We are SAMPLING at time 182



*** Looping through 5.2. Iter = 197 


  iteration 197; minNextMutationTime = 193; timeNextPopSample = 183; popParams.size() = 1

 We are SAMPLING at time 183



*** Looping through 5.2. Iter = 198 


  iteration 198; minNextMutationTime = 194; timeNextPopSample = 184; popParams.size() = 1

 We are SAMPLING at time 184



*** Looping through 5.2. Iter = 199 


  iteration 199; minNextMutationTime = 195; timeNextPopSample = 185; popParams.size() = 1

 We are SAMPLING at time 185



*** Looping through 5.2. Iter = 200 


  iteration 200; minNextMutationTime = 196; timeNextPopSample = 186; popParams.size() = 1

 We are SAMPLING at time 186



*** Looping through 5.2. Iter = 201 


  iteration 201; minNextMutationTime = 197; timeNextPopSample = 187; popParams.size() = 1

 We are SAMPLING at time 187



*** Looping through 5.2. Iter = 202 


  iteration 202; minNextMutationTime = 198; timeNextPopSample = 188; popParams.size() = 1

 We are SAMPLING at time 188



*** Looping through 5.2. Iter = 203 


  iteration 203; minNextMutationTime = 199; timeNextPopSample = 189; popParams.size() = 1

 We are SAMPLING at time 189



*** Looping through 5.2. Iter = 204 


  iteration 204; minNextMutationTime = 189.335; timeNextPopSample = 190; popParams.size() = 1

     Creating new species   1         from species 0


*** Looping through 5.2. Iter = 205 


  iteration 205; minNextMutationTime = 200; timeNextPopSample = 190; popParams.size() = 2

 We are SAMPLING at time 190



*** Looping through 5.2. Iter = 206 


  iteration 206; minNextMutationTime = 201; timeNextPopSample = 191; popParams.size() = 2

 We are SAMPLING at time 191



*** Looping through 5.2. Iter = 207 


  iteration 207; minNextMutationTime = 202; timeNextPopSample = 192; popParams.size() = 2

 We are SAMPLING at time 192



*** Looping through 5.2. Iter = 208 


  iteration 208; minNextMutationTime = 203; timeNextPopSample = 193; popParams.size() = 2

 We are SAMPLING at time 193



*** Looping through 5.2. Iter = 209 


  iteration 209; minNextMutationTime = 204; timeNextPopSample = 194; popParams.size() = 1

 We are SAMPLING at time 194



*** Looping through 5.2. Iter = 210 


  iteration 210; minNextMutationTime = 205; timeNextPopSample = 195; popParams.size() = 1

 We are SAMPLING at time 195



*** Looping through 5.2. Iter = 211 


  iteration 211; minNextMutationTime = 206; timeNextPopSample = 196; popParams.size() = 1

 We are SAMPLING at time 196



*** Looping through 5.2. Iter = 212 


  iteration 212; minNextMutationTime = 207; timeNextPopSample = 197; popParams.size() = 1

 We are SAMPLING at time 197



*** Looping through 5.2. Iter = 213 


  iteration 213; minNextMutationTime = 208; timeNextPopSample = 198; popParams.size() = 1

 We are SAMPLING at time 198



*** Looping through 5.2. Iter = 214 


  iteration 214; minNextMutationTime = 209; timeNextPopSample = 199; popParams.size() = 1

 We are SAMPLING at time 199



*** Looping through 5.2. Iter = 215 


  iteration 215; minNextMutationTime = 210; timeNextPopSample = 200; popParams.size() = 1

 We are SAMPLING at time 200



*** Looping through 5.2. Iter = 216 


  iteration 216; minNextMutationTime = 211; timeNextPopSample = 201; popParams.size() = 1

 We are SAMPLING at time 201



*** Looping through 5.2. Iter = 217 


  iteration 217; minNextMutationTime = 212; timeNextPopSample = 202; popParams.size() = 1

 We are SAMPLING at time 202



*** Looping through 5.2. Iter = 218 


  iteration 218; minNextMutationTime = 213; timeNextPopSample = 203; popParams.size() = 1

 We are SAMPLING at time 203



*** Looping through 5.2. Iter = 219 


  iteration 219; minNextMutationTime = 214; timeNextPopSample = 204; popParams.size() = 1

 We are SAMPLING at time 204



*** Looping through 5.2. Iter = 220 


  iteration 220; minNextMutationTime = 204.137; timeNextPopSample = 205; popParams.size() = 1

     Creating new species   1         from species 0


*** Looping through 5.2. Iter = 221 


  iteration 221; minNextMutationTime = 215; timeNextPopSample = 205; popParams.size() = 2

 We are SAMPLING at time 205



*** Looping through 5.2. Iter = 222 


  iteration 222; minNextMutationTime = 216; timeNextPopSample = 206; popParams.size() = 1

 We are SAMPLING at time 206



*** Looping through 5.2. Iter = 223 


  iteration 223; minNextMutationTime = 217; timeNextPopSample = 207; popParams.size() = 1

 We are SAMPLING at time 207



*** Looping through 5.2. Iter = 224 


  iteration 224; minNextMutationTime = 218; timeNextPopSample = 208; popParams.size() = 1

 We are SAMPLING at time 208



*** Looping through 5.2. Iter = 225 


  iteration 225; minNextMutationTime = 219; timeNextPopSample = 209; popParams.size() = 1

 We are SAMPLING at time 209



*** Looping through 5.2. Iter = 226 


  iteration 226; minNextMutationTime = 220; timeNextPopSample = 210; popParams.size() = 1

 We are SAMPLING at time 210



*** Looping through 5.2. Iter = 227 


  iteration 227; minNextMutationTime = 221; timeNextPopSample = 211; popParams.size() = 1

 We are SAMPLING at time 211



*** Looping through 5.2. Iter = 228 


  iteration 228; minNextMutationTime = 222; timeNextPopSample = 212; popParams.size() = 1

 We are SAMPLING at time 212



*** Looping through 5.2. Iter = 229 


  iteration 229; minNextMutationTime = 223; timeNextPopSample = 213; popParams.size() = 1

 We are SAMPLING at time 213



*** Looping through 5.2. Iter = 230 


  iteration 230; minNextMutationTime = 224; timeNextPopSample = 214; popParams.size() = 1

 We are SAMPLING at time 214



*** Looping through 5.2. Iter = 231 


  iteration 231; minNextMutationTime = 225; timeNextPopSample = 215; popParams.size() = 1

 We are SAMPLING at time 215



*** Looping through 5.2. Iter = 232 


  iteration 232; minNextMutationTime = 226; timeNextPopSample = 216; popParams.size() = 1

 We are SAMPLING at time 216



*** Looping through 5.2. Iter = 233 


  iteration 233; minNextMutationTime = 227; timeNextPopSample = 217; popParams.size() = 1

 We are SAMPLING at time 217



*** Looping through 5.2. Iter = 234 


  iteration 234; minNextMutationTime = 228; timeNextPopSample = 218; popParams.size() = 1

 We are SAMPLING at time 218



*** Looping through 5.2. Iter = 235 


  iteration 235; minNextMutationTime = 229; timeNextPopSample = 219; popParams.size() = 1

 We are SAMPLING at time 219



*** Looping through 5.2. Iter = 236 


  iteration 236; minNextMutationTime = 230; timeNextPopSample = 220; popParams.size() = 1

 We are SAMPLING at time 220



*** Looping through 5.2. Iter = 237 


  iteration 237; minNextMutationTime = 231; timeNextPopSample = 221; popParams.size() = 1

 We are SAMPLING at time 221



*** Looping through 5.2. Iter = 238 


  iteration 238; minNextMutationTime = 232; timeNextPopSample = 222; popParams.size() = 1

 We are SAMPLING at time 222



*** Looping through 5.2. Iter = 239 


  iteration 239; minNextMutationTime = 222.555; timeNextPopSample = 223; popParams.size() = 1

     Creating new species   1         from species 0


*** Looping through 5.2. Iter = 240 


  iteration 240; minNextMutationTime = 233; timeNextPopSample = 223; popParams.size() = 2

 We are SAMPLING at time 223



*** Looping through 5.2. Iter = 241 


  iteration 241; minNextMutationTime = 234; timeNextPopSample = 224; popParams.size() = 2

 We are SAMPLING at time 224



*** Looping through 5.2. Iter = 242 


  iteration 242; minNextMutationTime = 235; timeNextPopSample = 225; popParams.size() = 1

 We are SAMPLING at time 225



*** Looping through 5.2. Iter = 243 


  iteration 243; minNextMutationTime = 236; timeNextPopSample = 226; popParams.size() = 1

 We are SAMPLING at time 226



*** Looping through 5.2. Iter = 244 


  iteration 244; minNextMutationTime = 237; timeNextPopSample = 227; popParams.size() = 1

 We are SAMPLING at time 227



*** Looping through 5.2. Iter = 245 


  iteration 245; minNextMutationTime = 238; timeNextPopSample = 228; popParams.size() = 1

 We are SAMPLING at time 228



*** Looping through 5.2. Iter = 246 


  iteration 246; minNextMutationTime = 239; timeNextPopSample = 229; popParams.size() = 1

 We are SAMPLING at time 229



*** Looping through 5.2. Iter = 247 


  iteration 247; minNextMutationTime = 240; timeNextPopSample = 230; popParams.size() = 1

 We are SAMPLING at time 230



*** Looping through 5.2. Iter = 248 


  iteration 248; minNextMutationTime = 241; timeNextPopSample = 231; popParams.size() = 1

 We are SAMPLING at time 231



*** Looping through 5.2. Iter = 249 


  iteration 249; minNextMutationTime = 242; timeNextPopSample = 232; popParams.size() = 1

 We are SAMPLING at time 232



*** Looping through 5.2. Iter = 250 


  iteration 250; minNextMutationTime = 232.601; timeNextPopSample = 233; popParams.size() = 1

     Creating new species   1         from species 0


*** Looping through 5.2. Iter = 251 


  iteration 251; minNextMutationTime = 243; timeNextPopSample = 233; popParams.size() = 2

 We are SAMPLING at time 233



*** Looping through 5.2. Iter = 252 


  iteration 252; minNextMutationTime = 244; timeNextPopSample = 234; popParams.size() = 2

 We are SAMPLING at time 234



*** Looping through 5.2. Iter = 253 


  iteration 253; minNextMutationTime = 245; timeNextPopSample = 235; popParams.size() = 2

 We are SAMPLING at time 235



*** Looping through 5.2. Iter = 254 


  iteration 254; minNextMutationTime = 246; timeNextPopSample = 236; popParams.size() = 1

 We are SAMPLING at time 236



*** Looping through 5.2. Iter = 255 


  iteration 255; minNextMutationTime = 247; timeNextPopSample = 237; popParams.size() = 1

 We are SAMPLING at time 237



*** Looping through 5.2. Iter = 256 


  iteration 256; minNextMutationTime = 248; timeNextPopSample = 238; popParams.size() = 1

 We are SAMPLING at time 238



*** Looping through 5.2. Iter = 257 


  iteration 257; minNextMutationTime = 249; timeNextPopSample = 239; popParams.size() = 1

 We are SAMPLING at time 239



*** Looping through 5.2. Iter = 258 


  iteration 258; minNextMutationTime = 250; timeNextPopSample = 240; popParams.size() = 1

 We are SAMPLING at time 240



*** Looping through 5.2. Iter = 259 


  iteration 259; minNextMutationTime = 251; timeNextPopSample = 241; popParams.size() = 1

 We are SAMPLING at time 241



*** Looping through 5.2. Iter = 260 


  iteration 260; minNextMutationTime = 252; timeNextPopSample = 242; popParams.size() = 1

 We are SAMPLING at time 242



*** Looping through 5.2. Iter = 261 


  iteration 261; minNextMutationTime = 242.134; timeNextPopSample = 243; popParams.size() = 1

     Creating new species   1         from species 0


*** Looping through 5.2. Iter = 262 


  iteration 262; minNextMutationTime = 253; timeNextPopSample = 243; popParams.size() = 2

 We are SAMPLING at time 243



*** Looping through 5.2. Iter = 263 


  iteration 263; minNextMutationTime = 254; timeNextPopSample = 244; popParams.size() = 2

 We are SAMPLING at time 244



*** Looping through 5.2. Iter = 264 


  iteration 264; minNextMutationTime = 255; timeNextPopSample = 245; popParams.size() = 2

 We are SAMPLING at time 245



*** Looping through 5.2. Iter = 265 


  iteration 265; minNextMutationTime = 256; timeNextPopSample = 246; popParams.size() = 2

 We are SAMPLING at time 246



*** Looping through 5.2. Iter = 266 


  iteration 266; minNextMutationTime = 257; timeNextPopSample = 247; popParams.size() = 2

 We are SAMPLING at time 247



*** Looping through 5.2. Iter = 267 


  iteration 267; minNextMutationTime = 258; timeNextPopSample = 248; popParams.size() = 2

 We are SAMPLING at time 248



*** Looping through 5.2. Iter = 268 


  iteration 268; minNextMutationTime = 259; timeNextPopSample = 249; popParams.size() = 2

 We are SAMPLING at time 249



*** Looping through 5.2. Iter = 269 


  iteration 269; minNextMutationTime = 260; timeNextPopSample = 250; popParams.size() = 2

 We are SAMPLING at time 250



*** Looping through 5.2. Iter = 270 


  iteration 270; minNextMutationTime = 261; timeNextPopSample = 251; popParams.size() = 2

 We are SAMPLING at time 251



*** Looping through 5.2. Iter = 271 


  iteration 271; minNextMutationTime = 262; timeNextPopSample = 252; popParams.size() = 2

 We are SAMPLING at time 252



*** Looping through 5.2. Iter = 272 


  iteration 272; minNextMutationTime = 263; timeNextPopSample = 253; popParams.size() = 1

 We are SAMPLING at time 253



*** Looping through 5.2. Iter = 273 


  iteration 273; minNextMutationTime = 264; timeNextPopSample = 254; popParams.size() = 1

 We are SAMPLING at time 254



*** Looping through 5.2. Iter = 274 


  iteration 274; minNextMutationTime = 265; timeNextPopSample = 255; popParams.size() = 1

 We are SAMPLING at time 255



*** Looping through 5.2. Iter = 275 


  iteration 275; minNextMutationTime = 266; timeNextPopSample = 256; popParams.size() = 1

 We are SAMPLING at time 256



*** Looping through 5.2. Iter = 276 


  iteration 276; minNextMutationTime = 267; timeNextPopSample = 257; popParams.size() = 1

 We are SAMPLING at time 257



*** Looping through 5.2. Iter = 277 


  iteration 277; minNextMutationTime = 257.689; timeNextPopSample = 258; popParams.size() = 1

     Creating new species   1         from species 0


*** Looping through 5.2. Iter = 278 


  iteration 278; minNextMutationTime = 268; timeNextPopSample = 258; popParams.size() = 2

 We are SAMPLING at time 258



*** Looping through 5.2. Iter = 279 


  iteration 279; minNextMutationTime = 269; timeNextPopSample = 259; popParams.size() = 2

 We are SAMPLING at time 259



*** Looping through 5.2. Iter = 280 


  iteration 280; minNextMutationTime = 270; timeNextPopSample = 260; popParams.size() = 2

 We are SAMPLING at time 260



*** Looping through 5.2. Iter = 281 


  iteration 281; minNextMutationTime = 271; timeNextPopSample = 261; popParams.size() = 2

 We are SAMPLING at time 261



*** Looping through 5.2. Iter = 282 


  iteration 282; minNextMutationTime = 272; timeNextPopSample = 262; popParams.size() = 2

 We are SAMPLING at time 262



*** Looping through 5.2. Iter = 283 


  iteration 283; minNextMutationTime = 273; timeNextPopSample = 263; popParams.size() = 2

 We are SAMPLING at time 263



*** Looping through 5.2. Iter = 284 


  iteration 284; minNextMutationTime = 274; timeNextPopSample = 264; popParams.size() = 2

 We are SAMPLING at time 264



*** Looping through 5.2. Iter = 285 


  iteration 285; minNextMutationTime = 275; timeNextPopSample = 265; popParams.size() = 2

 We are SAMPLING at time 265



*** Looping through 5.2. Iter = 286 


  iteration 286; minNextMutationTime = 276; timeNextPopSample = 266; popParams.size() = 2

 We are SAMPLING at time 266



*** Looping through 5.2. Iter = 287 


  iteration 287; minNextMutationTime = 277; timeNextPopSample = 267; popParams.size() = 2

 We are SAMPLING at time 267



*** Looping through 5.2. Iter = 288 


  iteration 288; minNextMutationTime = 278; timeNextPopSample = 268; popParams.size() = 2

 We are SAMPLING at time 268



*** Looping through 5.2. Iter = 289 


  iteration 289; minNextMutationTime = 279; timeNextPopSample = 269; popParams.size() = 2

 We are SAMPLING at time 269



*** Looping through 5.2. Iter = 290 


  iteration 290; minNextMutationTime = 280; timeNextPopSample = 270; popParams.size() = 2

 We are SAMPLING at time 270



*** Looping through 5.2. Iter = 291 


  iteration 291; minNextMutationTime = 281; timeNextPopSample = 271; popParams.size() = 2

 We are SAMPLING at time 271



*** Looping through 5.2. Iter = 292 


  iteration 292; minNextMutationTime = 282; timeNextPopSample = 272; popParams.size() = 2

 We are SAMPLING at time 272



*** Looping through 5.2. Iter = 293 


  iteration 293; minNextMutationTime = 283; timeNextPopSample = 273; popParams.size() = 2

 We are SAMPLING at time 273



*** Looping through 5.2. Iter = 294 


  iteration 294; minNextMutationTime = 284; timeNextPopSample = 274; popParams.size() = 2

 We are SAMPLING at time 274



*** Looping through 5.2. Iter = 295 


  iteration 295; minNextMutationTime = 285; timeNextPopSample = 275; popParams.size() = 2

 We are SAMPLING at time 275



*** Looping through 5.2. Iter = 296 


  iteration 296; minNextMutationTime = 286; timeNextPopSample = 276; popParams.size() = 2

 We are SAMPLING at time 276



*** Looping through 5.2. Iter = 297 


  iteration 297; minNextMutationTime = 287; timeNextPopSample = 277; popParams.size() = 2

 We are SAMPLING at time 277



*** Looping through 5.2. Iter = 298 


  iteration 298; minNextMutationTime = 288; timeNextPopSample = 278; popParams.size() = 2

 We are SAMPLING at time 278



*** Looping through 5.2. Iter = 299 


  iteration 299; minNextMutationTime = 289; timeNextPopSample = 279; popParams.size() = 2

 We are SAMPLING at time 279



*** Looping through 5.2. Iter = 300 


  iteration 300; minNextMutationTime = 279.726; timeNextPopSample = 280; popParams.size() = 2

     Creating new species   2         from species 0


*** Looping through 5.2. Iter = 301 


  iteration 301; minNextMutationTime = 290; timeNextPopSample = 280; popParams.size() = 3

 We are SAMPLING at time 280



*** Looping through 5.2. Iter = 302 


  iteration 302; minNextMutationTime = 291; timeNextPopSample = 281; popParams.size() = 2

 We are SAMPLING at time 281



*** Looping through 5.2. Iter = 303 


  iteration 303; minNextMutationTime = 292; timeNextPopSample = 282; popParams.size() = 2

 We are SAMPLING at time 282



*** Looping through 5.2. Iter = 304 


  iteration 304; minNextMutationTime = 293; timeNextPopSample = 283; popParams.size() = 2

 We are SAMPLING at time 283



*** Looping through 5.2. Iter = 305 


  iteration 305; minNextMutationTime = 294; timeNextPopSample = 284; popParams.size() = 2

 We are SAMPLING at time 284



*** Looping through 5.2. Iter = 306 


  iteration 306; minNextMutationTime = 295; timeNextPopSample = 285; popParams.size() = 2

 We are SAMPLING at time 285



*** Looping through 5.2. Iter = 307 


  iteration 307; minNextMutationTime = 296; timeNextPopSample = 286; popParams.size() = 2

 We are SAMPLING at time 286



*** Looping through 5.2. Iter = 308 


  iteration 308; minNextMutationTime = 297; timeNextPopSample = 287; popParams.size() = 2

 We are SAMPLING at time 287



*** Looping through 5.2. Iter = 309 


  iteration 309; minNextMutationTime = 298; timeNextPopSample = 288; popParams.size() = 2

 We are SAMPLING at time 288



*** Looping through 5.2. Iter = 310 


  iteration 310; minNextMutationTime = 299; timeNextPopSample = 289; popParams.size() = 2

 We are SAMPLING at time 289



*** Looping through 5.2. Iter = 311 


  iteration 311; minNextMutationTime = 300; timeNextPopSample = 290; popParams.size() = 2

 We are SAMPLING at time 290



*** Looping through 5.2. Iter = 312 


  iteration 312; minNextMutationTime = 301; timeNextPopSample = 291; popParams.size() = 2

 We are SAMPLING at time 291



*** Looping through 5.2. Iter = 313 


  iteration 313; minNextMutationTime = 302; timeNextPopSample = 292; popParams.size() = 2

 We are SAMPLING at time 292



*** Looping through 5.2. Iter = 314 


  iteration 314; minNextMutationTime = 303; timeNextPopSample = 293; popParams.size() = 2

 We are SAMPLING at time 293



*** Looping through 5.2. Iter = 315 


  iteration 315; minNextMutationTime = 304; timeNextPopSample = 294; popParams.size() = 2

 We are SAMPLING at time 294



*** Looping through 5.2. Iter = 316 


  iteration 316; minNextMutationTime = 305; timeNextPopSample = 295; popParams.size() = 2

 We are SAMPLING at time 295



*** Looping through 5.2. Iter = 317 


  iteration 317; minNextMutationTime = 306; timeNextPopSample = 296; popParams.size() = 2

 We are SAMPLING at time 296



*** Looping through 5.2. Iter = 318 


  iteration 318; minNextMutationTime = 307; timeNextPopSample = 297; popParams.size() = 2

 We are SAMPLING at time 297



*** Looping through 5.2. Iter = 319 


  iteration 319; minNextMutationTime = 297.41; timeNextPopSample = 298; popParams.size() = 2

     Creating new species   2         from species 0


*** Looping through 5.2. Iter = 320 


  iteration 320; minNextMutationTime = 308; timeNextPopSample = 298; popParams.size() = 3

 We are SAMPLING at time 298



*** Looping through 5.2. Iter = 321 


  iteration 321; minNextMutationTime = 309; timeNextPopSample = 299; popParams.size() = 2

 We are SAMPLING at time 299



*** Looping through 5.2. Iter = 322 


  iteration 322; minNextMutationTime = 310; timeNextPopSample = 300; popParams.size() = 2

 We are SAMPLING at time 300



*** Looping through 5.2. Iter = 323 


  iteration 323; minNextMutationTime = 311; timeNextPopSample = 301; popParams.size() = 2

 We are SAMPLING at time 301



*** Looping through 5.2. Iter = 324 


  iteration 324; minNextMutationTime = 312; timeNextPopSample = 302; popParams.size() = 2

 We are SAMPLING at time 302



*** Looping through 5.2. Iter = 325 


  iteration 325; minNextMutationTime = 313; timeNextPopSample = 303; popParams.size() = 2

 We are SAMPLING at time 303



*** Looping through 5.2. Iter = 326 


  iteration 326; minNextMutationTime = 314; timeNextPopSample = 304; popParams.size() = 2

 We are SAMPLING at time 304



*** Looping through 5.2. Iter = 327 


  iteration 327; minNextMutationTime = 315; timeNextPopSample = 305; popParams.size() = 2

 We are SAMPLING at time 305



*** Looping through 5.2. Iter = 328 


  iteration 328; minNextMutationTime = 316; timeNextPopSample = 306; popParams.size() = 2

 We are SAMPLING at time 306



*** Looping through 5.2. Iter = 329 


  iteration 329; minNextMutationTime = 317; timeNextPopSample = 307; popParams.size() = 2

 We are SAMPLING at time 307



*** Looping through 5.2. Iter = 330 


  iteration 330; minNextMutationTime = 318; timeNextPopSample = 308; popParams.size() = 2

 We are SAMPLING at time 308



*** Looping through 5.2. Iter = 331 


  iteration 331; minNextMutationTime = 319; timeNextPopSample = 309; popParams.size() = 2

 We are SAMPLING at time 309



*** Looping through 5.2. Iter = 332 


  iteration 332; minNextMutationTime = 320; timeNextPopSample = 310; popParams.size() = 2

 We are SAMPLING at time 310



*** Looping through 5.2. Iter = 333 


  iteration 333; minNextMutationTime = 321; timeNextPopSample = 311; popParams.size() = 2

 We are SAMPLING at time 311



*** Looping through 5.2. Iter = 334 


  iteration 334; minNextMutationTime = 322; timeNextPopSample = 312; popParams.size() = 2

 We are SAMPLING at time 312



*** Looping through 5.2. Iter = 335 


  iteration 335; minNextMutationTime = 323; timeNextPopSample = 313; popParams.size() = 2

 We are SAMPLING at time 313



*** Looping through 5.2. Iter = 336 


  iteration 336; minNextMutationTime = 324; timeNextPopSample = 314; popParams.size() = 2

 We are SAMPLING at time 314



*** Looping through 5.2. Iter = 337 


  iteration 337; minNextMutationTime = 325; timeNextPopSample = 315; popParams.size() = 2

 We are SAMPLING at time 315



*** Looping through 5.2. Iter = 338 


  iteration 338; minNextMutationTime = 326; timeNextPopSample = 316; popParams.size() = 2

 We are SAMPLING at time 316



*** Looping through 5.2. Iter = 339 


  iteration 339; minNextMutationTime = 327; timeNextPopSample = 317; popParams.size() = 2

 We are SAMPLING at time 317



*** Looping through 5.2. Iter = 340 


  iteration 340; minNextMutationTime = 328; timeNextPopSample = 318; popParams.size() = 2

 We are SAMPLING at time 318



*** Looping through 5.2. Iter = 341 


  iteration 341; minNextMutationTime = 329; timeNextPopSample = 319; popParams.size() = 2

 We are SAMPLING at time 319



*** Looping through 5.2. Iter = 342 


  iteration 342; minNextMutationTime = 330; timeNextPopSample = 320; popParams.size() = 2

 We are SAMPLING at time 320



*** Looping through 5.2. Iter = 343 


  iteration 343; minNextMutationTime = 320.032; timeNextPopSample = 321; popParams.size() = 2

     Mutated to existing species 1 (Genotype = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 1)
 from species 0 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000000; sp_id = 1)
 New popSize = 544



*** Looping through 5.2. Iter = 344 


  iteration 344; minNextMutationTime = 331; timeNextPopSample = 321; popParams.size() = 2

 We are SAMPLING at time 321



*** Looping through 5.2. Iter = 345 


  iteration 345; minNextMutationTime = 332; timeNextPopSample = 322; popParams.size() = 2

 We are SAMPLING at time 322



*** Looping through 5.2. Iter = 346 


  iteration 346; minNextMutationTime = 333; timeNextPopSample = 323; popParams.size() = 2

 We are SAMPLING at time 323



*** Looping through 5.2. Iter = 347 


  iteration 347; minNextMutationTime = 334; timeNextPopSample = 324; popParams.size() = 2

 We are SAMPLING at time 324



*** Looping through 5.2. Iter = 348 


  iteration 348; minNextMutationTime = 335; timeNextPopSample = 325; popParams.size() = 2

 We are SAMPLING at time 325



*** Looping through 5.2. Iter = 349 


  iteration 349; minNextMutationTime = 336; timeNextPopSample = 326; popParams.size() = 2

 We are SAMPLING at time 326



*** Looping through 5.2. Iter = 350 


  iteration 350; minNextMutationTime = 326.469; timeNextPopSample = 327; popParams.size() = 2

     Creating new species   2         from species 0


*** Looping through 5.2. Iter = 351 


  iteration 351; minNextMutationTime = 337; timeNextPopSample = 327; popParams.size() = 3

 We are SAMPLING at time 327



*** Looping through 5.2. Iter = 352 


  iteration 352; minNextMutationTime = 338; timeNextPopSample = 328; popParams.size() = 3

 We are SAMPLING at time 328



*** Looping through 5.2. Iter = 353 


  iteration 353; minNextMutationTime = 339; timeNextPopSample = 329; popParams.size() = 2

 We are SAMPLING at time 329



*** Looping through 5.2. Iter = 354 


  iteration 354; minNextMutationTime = 340; timeNextPopSample = 330; popParams.size() = 2

 We are SAMPLING at time 330



*** Looping through 5.2. Iter = 355 


  iteration 355; minNextMutationTime = 341; timeNextPopSample = 331; popParams.size() = 2

 We are SAMPLING at time 331



*** Looping through 5.2. Iter = 356 


  iteration 356; minNextMutationTime = 342; timeNextPopSample = 332; popParams.size() = 2

 We are SAMPLING at time 332



*** Looping through 5.2. Iter = 357 


  iteration 357; minNextMutationTime = 343; timeNextPopSample = 333; popParams.size() = 2

 We are SAMPLING at time 333



*** Looping through 5.2. Iter = 358 


  iteration 358; minNextMutationTime = 344; timeNextPopSample = 334; popParams.size() = 2

 We are SAMPLING at time 334



*** Looping through 5.2. Iter = 359 


  iteration 359; minNextMutationTime = 345; timeNextPopSample = 335; popParams.size() = 2

 We are SAMPLING at time 335



*** Looping through 5.2. Iter = 360 


  iteration 360; minNextMutationTime = 346; timeNextPopSample = 336; popParams.size() = 2

 We are SAMPLING at time 336



*** Looping through 5.2. Iter = 361 


  iteration 361; minNextMutationTime = 347; timeNextPopSample = 337; popParams.size() = 2

 We are SAMPLING at time 337



*** Looping through 5.2. Iter = 362 


  iteration 362; minNextMutationTime = 348; timeNextPopSample = 338; popParams.size() = 2

 We are SAMPLING at time 338



*** Looping through 5.2. Iter = 363 


  iteration 363; minNextMutationTime = 349; timeNextPopSample = 339; popParams.size() = 2

 We are SAMPLING at time 339



*** Looping through 5.2. Iter = 364 


  iteration 364; minNextMutationTime = 339.647; timeNextPopSample = 340; popParams.size() = 2

     Creating new species   2         from species 1


*** Looping through 5.2. Iter = 365 


  iteration 365; minNextMutationTime = 350; timeNextPopSample = 340; popParams.size() = 3

 We are SAMPLING at time 340



*** Looping through 5.2. Iter = 366 


  iteration 366; minNextMutationTime = 351; timeNextPopSample = 341; popParams.size() = 2

 We are SAMPLING at time 341



*** Looping through 5.2. Iter = 367 


  iteration 367; minNextMutationTime = 341.566; timeNextPopSample = 342; popParams.size() = 2

     Creating new species   2         from species 0


*** Looping through 5.2. Iter = 368 


  iteration 368; minNextMutationTime = 352; timeNextPopSample = 342; popParams.size() = 3

 We are SAMPLING at time 342



*** Looping through 5.2. Iter = 369 


  iteration 369; minNextMutationTime = 353; timeNextPopSample = 343; popParams.size() = 3

 We are SAMPLING at time 343



*** Looping through 5.2. Iter = 370 


  iteration 370; minNextMutationTime = 343.073; timeNextPopSample = 344; popParams.size() = 3

     Creating new species   3         from species 1


*** Looping through 5.2. Iter = 371 


  iteration 371; minNextMutationTime = 354; timeNextPopSample = 344; popParams.size() = 4

 We are SAMPLING at time 344



*** Looping through 5.2. Iter = 372 


  iteration 372; minNextMutationTime = 355; timeNextPopSample = 345; popParams.size() = 3

 We are SAMPLING at time 345



*** Looping through 5.2. Iter = 373 


  iteration 373; minNextMutationTime = 356; timeNextPopSample = 346; popParams.size() = 3

 We are SAMPLING at time 346



*** Looping through 5.2. Iter = 374 


  iteration 374; minNextMutationTime = 346.915; timeNextPopSample = 347; popParams.size() = 3

     Creating new species   3         from species 0


*** Looping through 5.2. Iter = 375 


  iteration 375; minNextMutationTime = 357; timeNextPopSample = 347; popParams.size() = 4

 We are SAMPLING at time 347



*** Looping through 5.2. Iter = 376 


  iteration 376; minNextMutationTime = 358; timeNextPopSample = 348; popParams.size() = 4

 We are SAMPLING at time 348



*** Looping through 5.2. Iter = 377 


  iteration 377; minNextMutationTime = 359; timeNextPopSample = 349; popParams.size() = 3

 We are SAMPLING at time 349



*** Looping through 5.2. Iter = 378 


  iteration 378; minNextMutationTime = 360; timeNextPopSample = 350; popParams.size() = 3

 We are SAMPLING at time 350



*** Looping through 5.2. Iter = 379 


  iteration 379; minNextMutationTime = 361; timeNextPopSample = 351; popParams.size() = 3

 We are SAMPLING at time 351



*** Looping through 5.2. Iter = 380 


  iteration 380; minNextMutationTime = 362; timeNextPopSample = 352; popParams.size() = 3

 We are SAMPLING at time 352



*** Looping through 5.2. Iter = 381 


  iteration 381; minNextMutationTime = 363; timeNextPopSample = 353; popParams.size() = 3

 We are SAMPLING at time 353



*** Looping through 5.2. Iter = 382 


  iteration 382; minNextMutationTime = 364; timeNextPopSample = 354; popParams.size() = 3

 We are SAMPLING at time 354



*** Looping through 5.2. Iter = 383 


  iteration 383; minNextMutationTime = 365; timeNextPopSample = 355; popParams.size() = 2

 We are SAMPLING at time 355



*** Looping through 5.2. Iter = 384 


  iteration 384; minNextMutationTime = 366; timeNextPopSample = 356; popParams.size() = 2

 We are SAMPLING at time 356



*** Looping through 5.2. Iter = 385 


  iteration 385; minNextMutationTime = 367; timeNextPopSample = 357; popParams.size() = 2

 We are SAMPLING at time 357



*** Looping through 5.2. Iter = 386 


  iteration 386; minNextMutationTime = 368; timeNextPopSample = 358; popParams.size() = 2

 We are SAMPLING at time 358



*** Looping through 5.2. Iter = 387 


  iteration 387; minNextMutationTime = 369; timeNextPopSample = 359; popParams.size() = 2

 We are SAMPLING at time 359



*** Looping through 5.2. Iter = 388 


  iteration 388; minNextMutationTime = 359.585; timeNextPopSample = 360; popParams.size() = 2

     Creating new species   2         from species 1


*** Looping through 5.2. Iter = 389 


  iteration 389; minNextMutationTime = 370; timeNextPopSample = 360; popParams.size() = 3

 We are SAMPLING at time 360



*** Looping through 5.2. Iter = 390 


  iteration 390; minNextMutationTime = 371; timeNextPopSample = 361; popParams.size() = 3

 We are SAMPLING at time 361



*** Looping through 5.2. Iter = 391 


  iteration 391; minNextMutationTime = 372; timeNextPopSample = 362; popParams.size() = 3

 We are SAMPLING at time 362



*** Looping through 5.2. Iter = 392 


  iteration 392; minNextMutationTime = 373; timeNextPopSample = 363; popParams.size() = 3

 We are SAMPLING at time 363



*** Looping through 5.2. Iter = 393 


  iteration 393; minNextMutationTime = 374; timeNextPopSample = 364; popParams.size() = 3

 We are SAMPLING at time 364



*** Looping through 5.2. Iter = 394 


  iteration 394; minNextMutationTime = 375; timeNextPopSample = 365; popParams.size() = 3

 We are SAMPLING at time 365



*** Looping through 5.2. Iter = 395 


  iteration 395; minNextMutationTime = 365.619; timeNextPopSample = 366; popParams.size() = 3

     Creating new species   3         from species 1


*** Looping through 5.2. Iter = 396 


  iteration 396; minNextMutationTime = 376; timeNextPopSample = 366; popParams.size() = 4

 We are SAMPLING at time 366



*** Looping through 5.2. Iter = 397 


  iteration 397; minNextMutationTime = 377; timeNextPopSample = 367; popParams.size() = 4

 We are SAMPLING at time 367



*** Looping through 5.2. Iter = 398 


  iteration 398; minNextMutationTime = 378; timeNextPopSample = 368; popParams.size() = 3

 We are SAMPLING at time 368



*** Looping through 5.2. Iter = 399 


  iteration 399; minNextMutationTime = 368.34; timeNextPopSample = 369; popParams.size() = 2

     Creating new species   2         from species 1


*** Looping through 5.2. Iter = 400 


  iteration 400; minNextMutationTime = 379; timeNextPopSample = 369; popParams.size() = 3

 We are SAMPLING at time 369



*** Looping through 5.2. Iter = 401 


  iteration 401; minNextMutationTime = 380; timeNextPopSample = 370; popParams.size() = 3

 We are SAMPLING at time 370



*** Looping through 5.2. Iter = 402 


  iteration 402; minNextMutationTime = 381; timeNextPopSample = 371; popParams.size() = 2

 We are SAMPLING at time 371



*** Looping through 5.2. Iter = 403 


  iteration 403; minNextMutationTime = 371.482; timeNextPopSample = 372; popParams.size() = 2

     Creating new species   2         from species 1


*** Looping through 5.2. Iter = 404 


  iteration 404; minNextMutationTime = 382; timeNextPopSample = 372; popParams.size() = 3

 We are SAMPLING at time 372



*** Looping through 5.2. Iter = 405 


  iteration 405; minNextMutationTime = 372.856; timeNextPopSample = 373; popParams.size() = 2

     Creating new species   2         from species 1


*** Looping through 5.2. Iter = 406 


  iteration 406; minNextMutationTime = 383; timeNextPopSample = 373; popParams.size() = 3

 We are SAMPLING at time 373



*** Looping through 5.2. Iter = 407 


  iteration 407; minNextMutationTime = 373.35; timeNextPopSample = 374; popParams.size() = 3

     Creating new species   3         from species 1


*** Looping through 5.2. Iter = 408 


  iteration 408; minNextMutationTime = 384; timeNextPopSample = 374; popParams.size() = 4

 We are SAMPLING at time 374



*** Looping through 5.2. Iter = 409 


  iteration 409; minNextMutationTime = 374.152; timeNextPopSample = 375; popParams.size() = 2

     Creating new species   2         from species 1


*** Looping through 5.2. Iter = 410 


  iteration 410; minNextMutationTime = 385; timeNextPopSample = 375; popParams.size() = 3

 We are SAMPLING at time 375



*** Looping through 5.2. Iter = 411 


  iteration 411; minNextMutationTime = 375.991; timeNextPopSample = 376; popParams.size() = 3

     Creating new species   3         from species 1


*** Looping through 5.2. Iter = 412 


  iteration 412; minNextMutationTime = 386; timeNextPopSample = 376; popParams.size() = 4

 We are SAMPLING at time 376



*** Looping through 5.2. Iter = 413 


  iteration 413; minNextMutationTime = 376.148; timeNextPopSample = 377; popParams.size() = 4

     Creating new species   4         from species 1


*** Looping through 5.2. Iter = 414 


  iteration 414; minNextMutationTime = 376.338; timeNextPopSample = 377; popParams.size() = 5

     Creating new species   5         from species 0


*** Looping through 5.2. Iter = 415 


  iteration 415; minNextMutationTime = 387; timeNextPopSample = 377; popParams.size() = 6

 We are SAMPLING at time 377



*** Looping through 5.2. Iter = 416 


  iteration 416; minNextMutationTime = 377.474; timeNextPopSample = 378; popParams.size() = 3

     Creating new species   3         from species 1


*** Looping through 5.2. Iter = 417 


  iteration 417; minNextMutationTime = 388; timeNextPopSample = 378; popParams.size() = 4

 We are SAMPLING at time 378



*** Looping through 5.2. Iter = 418 


  iteration 418; minNextMutationTime = 389; timeNextPopSample = 379; popParams.size() = 3

 We are SAMPLING at time 379



*** Looping through 5.2. Iter = 419 


  iteration 419; minNextMutationTime = 379.987; timeNextPopSample = 380; popParams.size() = 3

     Creating new species   3         from species 1


*** Looping through 5.2. Iter = 420 


  iteration 420; minNextMutationTime = 390; timeNextPopSample = 380; popParams.size() = 4

 We are SAMPLING at time 380



*** Looping through 5.2. Iter = 421 


  iteration 421; minNextMutationTime = 391; timeNextPopSample = 381; popParams.size() = 4

 We are SAMPLING at time 381



*** Looping through 5.2. Iter = 422 


  iteration 422; minNextMutationTime = 392; timeNextPopSample = 382; popParams.size() = 4

 We are SAMPLING at time 382



*** Looping through 5.2. Iter = 423 


  iteration 423; minNextMutationTime = 382.978; timeNextPopSample = 383; popParams.size() = 3

     Creating new species   3         from species 1


*** Looping through 5.2. Iter = 424 


  iteration 424; minNextMutationTime = 393; timeNextPopSample = 383; popParams.size() = 4

 We are SAMPLING at time 383



*** Looping through 5.2. Iter = 425 


  iteration 425; minNextMutationTime = 383.532; timeNextPopSample = 384; popParams.size() = 4

     Creating new species   4         from species 1


*** Looping through 5.2. Iter = 426 


  iteration 426; minNextMutationTime = 394; timeNextPopSample = 384; popParams.size() = 5

 We are SAMPLING at time 384



*** Looping through 5.2. Iter = 427 


  iteration 427; minNextMutationTime = 395; timeNextPopSample = 385; popParams.size() = 4

 We are SAMPLING at time 385



*** Looping through 5.2. Iter = 428 


  iteration 428; minNextMutationTime = 385.321; timeNextPopSample = 386; popParams.size() = 3

     Creating new species   3         from species 1


*** Looping through 5.2. Iter = 429 


  iteration 429; minNextMutationTime = 385.744; timeNextPopSample = 386; popParams.size() = 4

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 1



*** Looping through 5.2. Iter = 430 


  iteration 430; minNextMutationTime = 396; timeNextPopSample = 386; popParams.size() = 4

 We are SAMPLING at time 386



*** Looping through 5.2. Iter = 431 


  iteration 431; minNextMutationTime = 386.224; timeNextPopSample = 387; popParams.size() = 3

     Creating new species   3         from species 1


*** Looping through 5.2. Iter = 432 


  iteration 432; minNextMutationTime = 386.333; timeNextPopSample = 387; popParams.size() = 4

     Creating new species   4         from species 1


*** Looping through 5.2. Iter = 433 


  iteration 433; minNextMutationTime = 386.352; timeNextPopSample = 387; popParams.size() = 5

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 2



*** Looping through 5.2. Iter = 434 


  iteration 434; minNextMutationTime = 386.582; timeNextPopSample = 387; popParams.size() = 5

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 6



*** Looping through 5.2. Iter = 435 


  iteration 435; minNextMutationTime = 397; timeNextPopSample = 387; popParams.size() = 5

 We are SAMPLING at time 387



*** Looping through 5.2. Iter = 436 


  iteration 436; minNextMutationTime = 387.239; timeNextPopSample = 388; popParams.size() = 5

     Creating new species   5         from species 1


*** Looping through 5.2. Iter = 437 


  iteration 437; minNextMutationTime = 387.442; timeNextPopSample = 388; popParams.size() = 6

     Creating new species   6         from species 1


*** Looping through 5.2. Iter = 438 


  iteration 438; minNextMutationTime = 398; timeNextPopSample = 388; popParams.size() = 7

 We are SAMPLING at time 388



*** Looping through 5.2. Iter = 439 


  iteration 439; minNextMutationTime = 388.502; timeNextPopSample = 389; popParams.size() = 7

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 2



*** Looping through 5.2. Iter = 440 


  iteration 440; minNextMutationTime = 388.672; timeNextPopSample = 389; popParams.size() = 7

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 12



*** Looping through 5.2. Iter = 441 


  iteration 441; minNextMutationTime = 399; timeNextPopSample = 389; popParams.size() = 7

 We are SAMPLING at time 389



*** Looping through 5.2. Iter = 442 


  iteration 442; minNextMutationTime = 389.29; timeNextPopSample = 390; popParams.size() = 7

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 7



*** Looping through 5.2. Iter = 443 


  iteration 443; minNextMutationTime = 389.729; timeNextPopSample = 390; popParams.size() = 7

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 15



*** Looping through 5.2. Iter = 444 


  iteration 444; minNextMutationTime = 389.86; timeNextPopSample = 390; popParams.size() = 7

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 5



*** Looping through 5.2. Iter = 445 


  iteration 445; minNextMutationTime = 389.971; timeNextPopSample = 390; popParams.size() = 7

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 2



*** Looping through 5.2. Iter = 446 


  iteration 446; minNextMutationTime = 400; timeNextPopSample = 390; popParams.size() = 7

 We are SAMPLING at time 390



*** Looping through 5.2. Iter = 447 


  iteration 447; minNextMutationTime = 401; timeNextPopSample = 391; popParams.size() = 7

 We are SAMPLING at time 391



*** Looping through 5.2. Iter = 448 


  iteration 448; minNextMutationTime = 391.012; timeNextPopSample = 392; popParams.size() = 7

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 8



*** Looping through 5.2. Iter = 449 


  iteration 449; minNextMutationTime = 391.299; timeNextPopSample = 392; popParams.size() = 7

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 4



*** Looping through 5.2. Iter = 450 


  iteration 450; minNextMutationTime = 402; timeNextPopSample = 392; popParams.size() = 7

 We are SAMPLING at time 392



*** Looping through 5.2. Iter = 451 


  iteration 451; minNextMutationTime = 392.145; timeNextPopSample = 393; popParams.size() = 7

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 5



*** Looping through 5.2. Iter = 452 


  iteration 452; minNextMutationTime = 392.487; timeNextPopSample = 393; popParams.size() = 7

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 5



*** Looping through 5.2. Iter = 453 


  iteration 453; minNextMutationTime = 403; timeNextPopSample = 393; popParams.size() = 7

 We are SAMPLING at time 393



*** Looping through 5.2. Iter = 454 


  iteration 454; minNextMutationTime = 393.022; timeNextPopSample = 394; popParams.size() = 7

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 28



*** Looping through 5.2. Iter = 455 


  iteration 455; minNextMutationTime = 393.122; timeNextPopSample = 394; popParams.size() = 7

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 3



*** Looping through 5.2. Iter = 456 


  iteration 456; minNextMutationTime = 404; timeNextPopSample = 394; popParams.size() = 7

 We are SAMPLING at time 394



*** Looping through 5.2. Iter = 457 


  iteration 457; minNextMutationTime = 394.141; timeNextPopSample = 395; popParams.size() = 7

     Creating new species   7         from species 1


*** Looping through 5.2. Iter = 458 


  iteration 458; minNextMutationTime = 394.435; timeNextPopSample = 395; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 2



*** Looping through 5.2. Iter = 459 


  iteration 459; minNextMutationTime = 394.653; timeNextPopSample = 395; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 5



*** Looping through 5.2. Iter = 460 


  iteration 460; minNextMutationTime = 394.697; timeNextPopSample = 395; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 6



*** Looping through 5.2. Iter = 461 


  iteration 461; minNextMutationTime = 394.765; timeNextPopSample = 395; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 46



*** Looping through 5.2. Iter = 462 


  iteration 462; minNextMutationTime = 405; timeNextPopSample = 395; popParams.size() = 8

 We are SAMPLING at time 395



*** Looping through 5.2. Iter = 463 


  iteration 463; minNextMutationTime = 395.604; timeNextPopSample = 396; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 6



*** Looping through 5.2. Iter = 464 


  iteration 464; minNextMutationTime = 395.655; timeNextPopSample = 396; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 8



*** Looping through 5.2. Iter = 465 


  iteration 465; minNextMutationTime = 395.754; timeNextPopSample = 396; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 61



*** Looping through 5.2. Iter = 466 


  iteration 466; minNextMutationTime = 395.876; timeNextPopSample = 396; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 61



*** Looping through 5.2. Iter = 467 


  iteration 467; minNextMutationTime = 406; timeNextPopSample = 396; popParams.size() = 8

 We are SAMPLING at time 396



*** Looping through 5.2. Iter = 468 


  iteration 468; minNextMutationTime = 396.093; timeNextPopSample = 397; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 6



*** Looping through 5.2. Iter = 469 


  iteration 469; minNextMutationTime = 396.395; timeNextPopSample = 397; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 8



*** Looping through 5.2. Iter = 470 


  iteration 470; minNextMutationTime = 396.448; timeNextPopSample = 397; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 6



*** Looping through 5.2. Iter = 471 


  iteration 471; minNextMutationTime = 396.487; timeNextPopSample = 397; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 47



*** Looping through 5.2. Iter = 472 


  iteration 472; minNextMutationTime = 396.6; timeNextPopSample = 397; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 5



*** Looping through 5.2. Iter = 473 


  iteration 473; minNextMutationTime = 396.74; timeNextPopSample = 397; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 1



*** Looping through 5.2. Iter = 474 


  iteration 474; minNextMutationTime = 396.771; timeNextPopSample = 397; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 2



*** Looping through 5.2. Iter = 475 


  iteration 475; minNextMutationTime = 396.796; timeNextPopSample = 397; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 3



*** Looping through 5.2. Iter = 476 


  iteration 476; minNextMutationTime = 396.85; timeNextPopSample = 397; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 49



*** Looping through 5.2. Iter = 477 


  iteration 477; minNextMutationTime = 407; timeNextPopSample = 397; popParams.size() = 8

 We are SAMPLING at time 397



*** Looping through 5.2. Iter = 478 


  iteration 478; minNextMutationTime = 397.884; timeNextPopSample = 398; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 70



*** Looping through 5.2. Iter = 479 


  iteration 479; minNextMutationTime = 397.95; timeNextPopSample = 398; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 69



*** Looping through 5.2. Iter = 480 


  iteration 480; minNextMutationTime = 397.956; timeNextPopSample = 398; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 5



*** Looping through 5.2. Iter = 481 


  iteration 481; minNextMutationTime = 408; timeNextPopSample = 398; popParams.size() = 8

 We are SAMPLING at time 398



*** Looping through 5.2. Iter = 482 


  iteration 482; minNextMutationTime = 398.391; timeNextPopSample = 399; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 74



*** Looping through 5.2. Iter = 483 


  iteration 483; minNextMutationTime = 398.986; timeNextPopSample = 399; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 91



*** Looping through 5.2. Iter = 484 


  iteration 484; minNextMutationTime = 409; timeNextPopSample = 399; popParams.size() = 8

 We are SAMPLING at time 399



*** Looping through 5.2. Iter = 485 


  iteration 485; minNextMutationTime = 399.005; timeNextPopSample = 400; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 7



*** Looping through 5.2. Iter = 486 


  iteration 486; minNextMutationTime = 399.019; timeNextPopSample = 400; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 74



*** Looping through 5.2. Iter = 487 


  iteration 487; minNextMutationTime = 399.206; timeNextPopSample = 400; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 83



*** Looping through 5.2. Iter = 488 


  iteration 488; minNextMutationTime = 399.407; timeNextPopSample = 400; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 93



*** Looping through 5.2. Iter = 489 


  iteration 489; minNextMutationTime = 399.799; timeNextPopSample = 400; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 7



*** Looping through 5.2. Iter = 490 


  iteration 490; minNextMutationTime = 410; timeNextPopSample = 400; popParams.size() = 8

 We are SAMPLING at time 400



*** Looping through 5.2. Iter = 491 


  iteration 491; minNextMutationTime = 400.504; timeNextPopSample = 401; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 15



*** Looping through 5.2. Iter = 492 


  iteration 492; minNextMutationTime = 400.566; timeNextPopSample = 401; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 96



*** Looping through 5.2. Iter = 493 


  iteration 493; minNextMutationTime = 400.6; timeNextPopSample = 401; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 11



*** Looping through 5.2. Iter = 494 


  iteration 494; minNextMutationTime = 400.696; timeNextPopSample = 401; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 14



*** Looping through 5.2. Iter = 495 


  iteration 495; minNextMutationTime = 400.901; timeNextPopSample = 401; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 106



*** Looping through 5.2. Iter = 496 


  iteration 496; minNextMutationTime = 411; timeNextPopSample = 401; popParams.size() = 8

 We are SAMPLING at time 401



*** Looping through 5.2. Iter = 497 


  iteration 497; minNextMutationTime = 401.026; timeNextPopSample = 402; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 13



*** Looping through 5.2. Iter = 498 


  iteration 498; minNextMutationTime = 401.7; timeNextPopSample = 402; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 18



*** Looping through 5.2. Iter = 499 


  iteration 499; minNextMutationTime = 401.781; timeNextPopSample = 402; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 13



*** Looping through 5.2. Iter = 500 


  iteration 500; minNextMutationTime = 401.816; timeNextPopSample = 402; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 5



*** Looping through 5.2. Iter = 501 


  iteration 501; minNextMutationTime = 412; timeNextPopSample = 402; popParams.size() = 8

 We are SAMPLING at time 402



*** Looping through 5.2. Iter = 502 


  iteration 502; minNextMutationTime = 402.062; timeNextPopSample = 403; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 119



*** Looping through 5.2. Iter = 503 


  iteration 503; minNextMutationTime = 402.343; timeNextPopSample = 403; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 121



*** Looping through 5.2. Iter = 504 


  iteration 504; minNextMutationTime = 402.414; timeNextPopSample = 403; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 25



*** Looping through 5.2. Iter = 505 


  iteration 505; minNextMutationTime = 402.44; timeNextPopSample = 403; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 17



*** Looping through 5.2. Iter = 506 


  iteration 506; minNextMutationTime = 402.959; timeNextPopSample = 403; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 24



*** Looping through 5.2. Iter = 507 


  iteration 507; minNextMutationTime = 413; timeNextPopSample = 403; popParams.size() = 8

 We are SAMPLING at time 403



*** Looping through 5.2. Iter = 508 


  iteration 508; minNextMutationTime = 403.429; timeNextPopSample = 404; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 16



*** Looping through 5.2. Iter = 509 


  iteration 509; minNextMutationTime = 403.53; timeNextPopSample = 404; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 117



*** Looping through 5.2. Iter = 510 


  iteration 510; minNextMutationTime = 403.568; timeNextPopSample = 404; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 25



*** Looping through 5.2. Iter = 511 


  iteration 511; minNextMutationTime = 403.682; timeNextPopSample = 404; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 118



*** Looping through 5.2. Iter = 512 


  iteration 512; minNextMutationTime = 403.92; timeNextPopSample = 404; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 119



*** Looping through 5.2. Iter = 513 


  iteration 513; minNextMutationTime = 414; timeNextPopSample = 404; popParams.size() = 8

 We are SAMPLING at time 404



*** Looping through 5.2. Iter = 514 


  iteration 514; minNextMutationTime = 404.003; timeNextPopSample = 405; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 10



*** Looping through 5.2. Iter = 515 


  iteration 515; minNextMutationTime = 404.071; timeNextPopSample = 405; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 122



*** Looping through 5.2. Iter = 516 


  iteration 516; minNextMutationTime = 404.091; timeNextPopSample = 405; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 18



*** Looping through 5.2. Iter = 517 


  iteration 517; minNextMutationTime = 404.151; timeNextPopSample = 405; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 127



*** Looping through 5.2. Iter = 518 


  iteration 518; minNextMutationTime = 404.174; timeNextPopSample = 405; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 19



*** Looping through 5.2. Iter = 519 


  iteration 519; minNextMutationTime = 404.251; timeNextPopSample = 405; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 118



*** Looping through 5.2. Iter = 520 


  iteration 520; minNextMutationTime = 404.379; timeNextPopSample = 405; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 21



*** Looping through 5.2. Iter = 521 


  iteration 521; minNextMutationTime = 404.594; timeNextPopSample = 405; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 24



*** Looping through 5.2. Iter = 522 


  iteration 522; minNextMutationTime = 404.716; timeNextPopSample = 405; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 10



*** Looping through 5.2. Iter = 523 


  iteration 523; minNextMutationTime = 404.905; timeNextPopSample = 405; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 24



*** Looping through 5.2. Iter = 524 


  iteration 524; minNextMutationTime = 404.95; timeNextPopSample = 405; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 12



*** Looping through 5.2. Iter = 525 


  iteration 525; minNextMutationTime = 415; timeNextPopSample = 405; popParams.size() = 8

 We are SAMPLING at time 405



*** Looping through 5.2. Iter = 526 


  iteration 526; minNextMutationTime = 405.027; timeNextPopSample = 406; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 25



*** Looping through 5.2. Iter = 527 


  iteration 527; minNextMutationTime = 405.232; timeNextPopSample = 406; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 24



*** Looping through 5.2. Iter = 528 


  iteration 528; minNextMutationTime = 405.424; timeNextPopSample = 406; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 21



*** Looping through 5.2. Iter = 529 


  iteration 529; minNextMutationTime = 405.444; timeNextPopSample = 406; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 134



*** Looping through 5.2. Iter = 530 


  iteration 530; minNextMutationTime = 405.663; timeNextPopSample = 406; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 28



*** Looping through 5.2. Iter = 531 


  iteration 531; minNextMutationTime = 405.716; timeNextPopSample = 406; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 29



*** Looping through 5.2. Iter = 532 


  iteration 532; minNextMutationTime = 405.719; timeNextPopSample = 406; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 22



*** Looping through 5.2. Iter = 533 


  iteration 533; minNextMutationTime = 405.927; timeNextPopSample = 406; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 22



*** Looping through 5.2. Iter = 534 


  iteration 534; minNextMutationTime = 416; timeNextPopSample = 406; popParams.size() = 8

 We are SAMPLING at time 406



*** Looping through 5.2. Iter = 535 


  iteration 535; minNextMutationTime = 406.04; timeNextPopSample = 407; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 23



*** Looping through 5.2. Iter = 536 


  iteration 536; minNextMutationTime = 406.248; timeNextPopSample = 407; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 15



*** Looping through 5.2. Iter = 537 


  iteration 537; minNextMutationTime = 406.413; timeNextPopSample = 407; popParams.size() = 8

     Creating new species   8         from species 0


*** Looping through 5.2. Iter = 538 


  iteration 538; minNextMutationTime = 406.658; timeNextPopSample = 407; popParams.size() = 9

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 17



*** Looping through 5.2. Iter = 539 


  iteration 539; minNextMutationTime = 406.667; timeNextPopSample = 407; popParams.size() = 9

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 19



*** Looping through 5.2. Iter = 540 


  iteration 540; minNextMutationTime = 406.688; timeNextPopSample = 407; popParams.size() = 9

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 140



*** Looping through 5.2. Iter = 541 


  iteration 541; minNextMutationTime = 406.745; timeNextPopSample = 407; popParams.size() = 9

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 139



*** Looping through 5.2. Iter = 542 


  iteration 542; minNextMutationTime = 406.746; timeNextPopSample = 407; popParams.size() = 9

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 36



*** Looping through 5.2. Iter = 543 


  iteration 543; minNextMutationTime = 406.869; timeNextPopSample = 407; popParams.size() = 9

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 143



*** Looping through 5.2. Iter = 544 


  iteration 544; minNextMutationTime = 406.965; timeNextPopSample = 407; popParams.size() = 9

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 43



*** Looping through 5.2. Iter = 545 


  iteration 545; minNextMutationTime = 417; timeNextPopSample = 407; popParams.size() = 9

 We are SAMPLING at time 407



*** Looping through 5.2. Iter = 546 


  iteration 546; minNextMutationTime = 407.225; timeNextPopSample = 408; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 46



*** Looping through 5.2. Iter = 547 


  iteration 547; minNextMutationTime = 407.289; timeNextPopSample = 408; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 153



*** Looping through 5.2. Iter = 548 


  iteration 548; minNextMutationTime = 407.33; timeNextPopSample = 408; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 23



*** Looping through 5.2. Iter = 549 


  iteration 549; minNextMutationTime = 407.453; timeNextPopSample = 408; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 16



*** Looping through 5.2. Iter = 550 


  iteration 550; minNextMutationTime = 407.508; timeNextPopSample = 408; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 24



*** Looping through 5.2. Iter = 551 


  iteration 551; minNextMutationTime = 407.757; timeNextPopSample = 408; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 61



*** Looping through 5.2. Iter = 552 


  iteration 552; minNextMutationTime = 407.897; timeNextPopSample = 408; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 22



*** Looping through 5.2. Iter = 553 


  iteration 553; minNextMutationTime = 407.964; timeNextPopSample = 408; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 153



*** Looping through 5.2. Iter = 554 


  iteration 554; minNextMutationTime = 407.982; timeNextPopSample = 408; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 18



*** Looping through 5.2. Iter = 555 


  iteration 555; minNextMutationTime = 418; timeNextPopSample = 408; popParams.size() = 8

 We are SAMPLING at time 408



*** Looping through 5.2. Iter = 556 


  iteration 556; minNextMutationTime = 408.036; timeNextPopSample = 409; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 152



*** Looping through 5.2. Iter = 557 


  iteration 557; minNextMutationTime = 408.042; timeNextPopSample = 409; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 18



*** Looping through 5.2. Iter = 558 


  iteration 558; minNextMutationTime = 408.184; timeNextPopSample = 409; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 18



*** Looping through 5.2. Iter = 559 


  iteration 559; minNextMutationTime = 408.186; timeNextPopSample = 409; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 61



*** Looping through 5.2. Iter = 560 


  iteration 560; minNextMutationTime = 408.289; timeNextPopSample = 409; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 58



*** Looping through 5.2. Iter = 561 


  iteration 561; minNextMutationTime = 408.56; timeNextPopSample = 409; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 166



*** Looping through 5.2. Iter = 562 


  iteration 562; minNextMutationTime = 408.641; timeNextPopSample = 409; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 18



*** Looping through 5.2. Iter = 563 


  iteration 563; minNextMutationTime = 408.906; timeNextPopSample = 409; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 15



*** Looping through 5.2. Iter = 564 


  iteration 564; minNextMutationTime = 419; timeNextPopSample = 409; popParams.size() = 8

 We are SAMPLING at time 409



*** Looping through 5.2. Iter = 565 


  iteration 565; minNextMutationTime = 409.039; timeNextPopSample = 410; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 22



*** Looping through 5.2. Iter = 566 


  iteration 566; minNextMutationTime = 409.062; timeNextPopSample = 410; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 16



*** Looping through 5.2. Iter = 567 


  iteration 567; minNextMutationTime = 409.065; timeNextPopSample = 410; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 22



*** Looping through 5.2. Iter = 568 


  iteration 568; minNextMutationTime = 409.093; timeNextPopSample = 410; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 23



*** Looping through 5.2. Iter = 569 


  iteration 569; minNextMutationTime = 409.251; timeNextPopSample = 410; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 24



*** Looping through 5.2. Iter = 570 


  iteration 570; minNextMutationTime = 409.256; timeNextPopSample = 410; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 61



*** Looping through 5.2. Iter = 571 


  iteration 571; minNextMutationTime = 409.277; timeNextPopSample = 410; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 67



*** Looping through 5.2. Iter = 572 


  iteration 572; minNextMutationTime = 409.338; timeNextPopSample = 410; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 163



*** Looping through 5.2. Iter = 573 


  iteration 573; minNextMutationTime = 409.342; timeNextPopSample = 410; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 25



*** Looping through 5.2. Iter = 574 


  iteration 574; minNextMutationTime = 409.36; timeNextPopSample = 410; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 164



*** Looping through 5.2. Iter = 575 


  iteration 575; minNextMutationTime = 409.383; timeNextPopSample = 410; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 26



*** Looping through 5.2. Iter = 576 


  iteration 576; minNextMutationTime = 409.437; timeNextPopSample = 410; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 171



*** Looping through 5.2. Iter = 577 


  iteration 577; minNextMutationTime = 409.49; timeNextPopSample = 410; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 173



*** Looping through 5.2. Iter = 578 


  iteration 578; minNextMutationTime = 409.501; timeNextPopSample = 410; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 67



*** Looping through 5.2. Iter = 579 


  iteration 579; minNextMutationTime = 409.606; timeNextPopSample = 410; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 27



*** Looping through 5.2. Iter = 580 


  iteration 580; minNextMutationTime = 409.798; timeNextPopSample = 410; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 65



*** Looping through 5.2. Iter = 581 


  iteration 581; minNextMutationTime = 409.936; timeNextPopSample = 410; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 186



*** Looping through 5.2. Iter = 582 


  iteration 582; minNextMutationTime = 409.968; timeNextPopSample = 410; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 63



*** Looping through 5.2. Iter = 583 


  iteration 583; minNextMutationTime = 420; timeNextPopSample = 410; popParams.size() = 8

 We are SAMPLING at time 410



*** Looping through 5.2. Iter = 584 


  iteration 584; minNextMutationTime = 410.044; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 25



*** Looping through 5.2. Iter = 585 


  iteration 585; minNextMutationTime = 410.12; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 184



*** Looping through 5.2. Iter = 586 


  iteration 586; minNextMutationTime = 410.214; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 57



*** Looping through 5.2. Iter = 587 


  iteration 587; minNextMutationTime = 410.226; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 196



*** Looping through 5.2. Iter = 588 


  iteration 588; minNextMutationTime = 410.231; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 185



*** Looping through 5.2. Iter = 589 


  iteration 589; minNextMutationTime = 410.253; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 186



*** Looping through 5.2. Iter = 590 


  iteration 590; minNextMutationTime = 410.263; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 18



*** Looping through 5.2. Iter = 591 


  iteration 591; minNextMutationTime = 410.272; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 27



*** Looping through 5.2. Iter = 592 


  iteration 592; minNextMutationTime = 410.306; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 27



*** Looping through 5.2. Iter = 593 


  iteration 593; minNextMutationTime = 410.306; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 58



*** Looping through 5.2. Iter = 594 


  iteration 594; minNextMutationTime = 410.324; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 29



*** Looping through 5.2. Iter = 595 


  iteration 595; minNextMutationTime = 410.342; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 198



*** Looping through 5.2. Iter = 596 


  iteration 596; minNextMutationTime = 410.376; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 62



*** Looping through 5.2. Iter = 597 


  iteration 597; minNextMutationTime = 410.386; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 198



*** Looping through 5.2. Iter = 598 


  iteration 598; minNextMutationTime = 410.611; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 208



*** Looping through 5.2. Iter = 599 


  iteration 599; minNextMutationTime = 410.634; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 64



*** Looping through 5.2. Iter = 600 


  iteration 600; minNextMutationTime = 410.702; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 66



*** Looping through 5.2. Iter = 601 


  iteration 601; minNextMutationTime = 410.742; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 33



*** Looping through 5.2. Iter = 602 


  iteration 602; minNextMutationTime = 410.779; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 213



*** Looping through 5.2. Iter = 603 


  iteration 603; minNextMutationTime = 410.799; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 27



*** Looping through 5.2. Iter = 604 


  iteration 604; minNextMutationTime = 410.829; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 217



*** Looping through 5.2. Iter = 605 


  iteration 605; minNextMutationTime = 410.878; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 25



*** Looping through 5.2. Iter = 606 


  iteration 606; minNextMutationTime = 410.951; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 33



*** Looping through 5.2. Iter = 607 


  iteration 607; minNextMutationTime = 410.964; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 182



*** Looping through 5.2. Iter = 608 


  iteration 608; minNextMutationTime = 410.982; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 35



*** Looping through 5.2. Iter = 609 


  iteration 609; minNextMutationTime = 410.989; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 66



*** Looping through 5.2. Iter = 610 


  iteration 610; minNextMutationTime = 410.994; timeNextPopSample = 411; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 67



*** Looping through 5.2. Iter = 611 


  iteration 611; minNextMutationTime = 421; timeNextPopSample = 411; popParams.size() = 8

 We are SAMPLING at time 411



*** Looping through 5.2. Iter = 612 


  iteration 612; minNextMutationTime = 411.06; timeNextPopSample = 412; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 27



*** Looping through 5.2. Iter = 613 


  iteration 613; minNextMutationTime = 411.108; timeNextPopSample = 412; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 217



*** Looping through 5.2. Iter = 614 


  iteration 614; minNextMutationTime = 411.109; timeNextPopSample = 412; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 28



*** Looping through 5.2. Iter = 615 


  iteration 615; minNextMutationTime = 411.187; timeNextPopSample = 412; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 228



*** Looping through 5.2. Iter = 616 


  iteration 616; minNextMutationTime = 411.345; timeNextPopSample = 412; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 34



*** Looping through 5.2. Iter = 617 


  iteration 617; minNextMutationTime = 411.36; timeNextPopSample = 412; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 34



*** Looping through 5.2. Iter = 618 


  iteration 618; minNextMutationTime = 411.401; timeNextPopSample = 412; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 32



*** Looping through 5.2. Iter = 619 


  iteration 619; minNextMutationTime = 411.473; timeNextPopSample = 412; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 27



*** Looping through 5.2. Iter = 620 


  iteration 620; minNextMutationTime = 411.499; timeNextPopSample = 412; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 32



*** Looping through 5.2. Iter = 621 


  iteration 621; minNextMutationTime = 411.663; timeNextPopSample = 412; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 17



*** Looping through 5.2. Iter = 622 


  iteration 622; minNextMutationTime = 411.74; timeNextPopSample = 412; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 174



*** Looping through 5.2. Iter = 623 


  iteration 623; minNextMutationTime = 411.805; timeNextPopSample = 412; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 241



*** Looping through 5.2. Iter = 624 


  iteration 624; minNextMutationTime = 411.821; timeNextPopSample = 412; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 29



*** Looping through 5.2. Iter = 625 


  iteration 625; minNextMutationTime = 411.843; timeNextPopSample = 412; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 69



*** Looping through 5.2. Iter = 626 


  iteration 626; minNextMutationTime = 411.929; timeNextPopSample = 412; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 245



*** Looping through 5.2. Iter = 627 


  iteration 627; minNextMutationTime = 411.949; timeNextPopSample = 412; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 29



*** Looping through 5.2. Iter = 628 


  iteration 628; minNextMutationTime = 411.978; timeNextPopSample = 412; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 70



*** Looping through 5.2. Iter = 629 


  iteration 629; minNextMutationTime = 422; timeNextPopSample = 412; popParams.size() = 8

 We are SAMPLING at time 412



*** Looping through 5.2. Iter = 630 


  iteration 630; minNextMutationTime = 412.025; timeNextPopSample = 413; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 18



*** Looping through 5.2. Iter = 631 


  iteration 631; minNextMutationTime = 412.073; timeNextPopSample = 413; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 71



*** Looping through 5.2. Iter = 632 


  iteration 632; minNextMutationTime = 412.137; timeNextPopSample = 413; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 190



*** Looping through 5.2. Iter = 633 


  iteration 633; minNextMutationTime = 412.189; timeNextPopSample = 413; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 19



*** Looping through 5.2. Iter = 634 


  iteration 634; minNextMutationTime = 412.199; timeNextPopSample = 413; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 20



*** Looping through 5.2. Iter = 635 


  iteration 635; minNextMutationTime = 412.202; timeNextPopSample = 413; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 72



*** Looping through 5.2. Iter = 636 


  iteration 636; minNextMutationTime = 412.224; timeNextPopSample = 413; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 20



*** Looping through 5.2. Iter = 637 


  iteration 637; minNextMutationTime = 412.249; timeNextPopSample = 413; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 249



*** Looping through 5.2. Iter = 638 


  iteration 638; minNextMutationTime = 412.295; timeNextPopSample = 413; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 256



*** Looping through 5.2. Iter = 639 


  iteration 639; minNextMutationTime = 412.373; timeNextPopSample = 413; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 20



*** Looping through 5.2. Iter = 640 


  iteration 640; minNextMutationTime = 412.667; timeNextPopSample = 413; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 34



*** Looping through 5.2. Iter = 641 


  iteration 641; minNextMutationTime = 412.706; timeNextPopSample = 413; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 72



*** Looping through 5.2. Iter = 642 


  iteration 642; minNextMutationTime = 412.831; timeNextPopSample = 413; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 264



*** Looping through 5.2. Iter = 643 


  iteration 643; minNextMutationTime = 412.993; timeNextPopSample = 413; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 39



*** Looping through 5.2. Iter = 644 


  iteration 644; minNextMutationTime = 423; timeNextPopSample = 413; popParams.size() = 8

 We are SAMPLING at time 413



*** Looping through 5.2. Iter = 645 


  iteration 645; minNextMutationTime = 413.242; timeNextPopSample = 414; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 185



*** Looping through 5.2. Iter = 646 


  iteration 646; minNextMutationTime = 413.251; timeNextPopSample = 414; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 39



*** Looping through 5.2. Iter = 647 


  iteration 647; minNextMutationTime = 413.264; timeNextPopSample = 414; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 187



*** Looping through 5.2. Iter = 648 


  iteration 648; minNextMutationTime = 413.271; timeNextPopSample = 414; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 20



*** Looping through 5.2. Iter = 649 


  iteration 649; minNextMutationTime = 413.363; timeNextPopSample = 414; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 41



*** Looping through 5.2. Iter = 650 


  iteration 650; minNextMutationTime = 413.376; timeNextPopSample = 414; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 192



*** Looping through 5.2. Iter = 651 


  iteration 651; minNextMutationTime = 413.413; timeNextPopSample = 414; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 35



*** Looping through 5.2. Iter = 652 


  iteration 652; minNextMutationTime = 413.541; timeNextPopSample = 414; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 277



*** Looping through 5.2. Iter = 653 


  iteration 653; minNextMutationTime = 413.549; timeNextPopSample = 414; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 41



*** Looping through 5.2. Iter = 654 


  iteration 654; minNextMutationTime = 413.569; timeNextPopSample = 414; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 41



*** Looping through 5.2. Iter = 655 


  iteration 655; minNextMutationTime = 413.849; timeNextPopSample = 414; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 307



*** Looping through 5.2. Iter = 656 


  iteration 656; minNextMutationTime = 413.867; timeNextPopSample = 414; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 192



*** Looping through 5.2. Iter = 657 


  iteration 657; minNextMutationTime = 413.947; timeNextPopSample = 414; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 34



*** Looping through 5.2. Iter = 658 


  iteration 658; minNextMutationTime = 413.973; timeNextPopSample = 414; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 317



*** Looping through 5.2. Iter = 659 


  iteration 659; minNextMutationTime = 424; timeNextPopSample = 414; popParams.size() = 8

 We are SAMPLING at time 414



*** Looping through 5.2. Iter = 660 


  iteration 660; minNextMutationTime = 414.072; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 335



*** Looping through 5.2. Iter = 661 


  iteration 661; minNextMutationTime = 414.117; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 42



*** Looping through 5.2. Iter = 662 


  iteration 662; minNextMutationTime = 414.135; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 41



*** Looping through 5.2. Iter = 663 


  iteration 663; minNextMutationTime = 414.157; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 195



*** Looping through 5.2. Iter = 664 


  iteration 664; minNextMutationTime = 414.201; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 23



*** Looping through 5.2. Iter = 665 


  iteration 665; minNextMutationTime = 414.211; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 199



*** Looping through 5.2. Iter = 666 


  iteration 666; minNextMutationTime = 414.248; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 200



*** Looping through 5.2. Iter = 667 


  iteration 667; minNextMutationTime = 414.282; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 40



*** Looping through 5.2. Iter = 668 


  iteration 668; minNextMutationTime = 414.288; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 77



*** Looping through 5.2. Iter = 669 


  iteration 669; minNextMutationTime = 414.359; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 340



*** Looping through 5.2. Iter = 670 


  iteration 670; minNextMutationTime = 414.367; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 346



*** Looping through 5.2. Iter = 671 


  iteration 671; minNextMutationTime = 414.513; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 347



*** Looping through 5.2. Iter = 672 


  iteration 672; minNextMutationTime = 414.543; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 352



*** Looping through 5.2. Iter = 673 


  iteration 673; minNextMutationTime = 414.592; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 41



*** Looping through 5.2. Iter = 674 


  iteration 674; minNextMutationTime = 414.622; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 200



*** Looping through 5.2. Iter = 675 


  iteration 675; minNextMutationTime = 414.631; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 23



*** Looping through 5.2. Iter = 676 


  iteration 676; minNextMutationTime = 414.663; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 206



*** Looping through 5.2. Iter = 677 


  iteration 677; minNextMutationTime = 414.689; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 26



*** Looping through 5.2. Iter = 678 


  iteration 678; minNextMutationTime = 414.693; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 41



*** Looping through 5.2. Iter = 679 


  iteration 679; minNextMutationTime = 414.704; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 209



*** Looping through 5.2. Iter = 680 


  iteration 680; minNextMutationTime = 414.707; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 78



*** Looping through 5.2. Iter = 681 


  iteration 681; minNextMutationTime = 414.752; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 40



*** Looping through 5.2. Iter = 682 


  iteration 682; minNextMutationTime = 414.802; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 39



*** Looping through 5.2. Iter = 683 


  iteration 683; minNextMutationTime = 414.829; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 357



*** Looping through 5.2. Iter = 684 


  iteration 684; minNextMutationTime = 414.835; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 27



*** Looping through 5.2. Iter = 685 


  iteration 685; minNextMutationTime = 414.851; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 40



*** Looping through 5.2. Iter = 686 


  iteration 686; minNextMutationTime = 414.929; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 42



*** Looping through 5.2. Iter = 687 


  iteration 687; minNextMutationTime = 414.971; timeNextPopSample = 415; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 79



*** Looping through 5.2. Iter = 688 


  iteration 688; minNextMutationTime = 425; timeNextPopSample = 415; popParams.size() = 8

 We are SAMPLING at time 415



*** Looping through 5.2. Iter = 689 


  iteration 689; minNextMutationTime = 415.031; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 373



*** Looping through 5.2. Iter = 690 


  iteration 690; minNextMutationTime = 415.048; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 215



*** Looping through 5.2. Iter = 691 


  iteration 691; minNextMutationTime = 415.052; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 82



*** Looping through 5.2. Iter = 692 


  iteration 692; minNextMutationTime = 415.169; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 224



*** Looping through 5.2. Iter = 693 


  iteration 693; minNextMutationTime = 415.228; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 39



*** Looping through 5.2. Iter = 694 


  iteration 694; minNextMutationTime = 415.285; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 43



*** Looping through 5.2. Iter = 695 


  iteration 695; minNextMutationTime = 415.304; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 27



*** Looping through 5.2. Iter = 696 


  iteration 696; minNextMutationTime = 415.376; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 50



*** Looping through 5.2. Iter = 697 


  iteration 697; minNextMutationTime = 415.392; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 381



*** Looping through 5.2. Iter = 698 


  iteration 698; minNextMutationTime = 415.419; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 225



*** Looping through 5.2. Iter = 699 


  iteration 699; minNextMutationTime = 415.609; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 48



*** Looping through 5.2. Iter = 700 


  iteration 700; minNextMutationTime = 415.613; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 382



*** Looping through 5.2. Iter = 701 


  iteration 701; minNextMutationTime = 415.624; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 49



*** Looping through 5.2. Iter = 702 


  iteration 702; minNextMutationTime = 415.7; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 230



*** Looping through 5.2. Iter = 703 


  iteration 703; minNextMutationTime = 415.705; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 83



*** Looping through 5.2. Iter = 704 


  iteration 704; minNextMutationTime = 415.752; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 42



*** Looping through 5.2. Iter = 705 


  iteration 705; minNextMutationTime = 415.768; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 382



*** Looping through 5.2. Iter = 706 


  iteration 706; minNextMutationTime = 415.798; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 381



*** Looping through 5.2. Iter = 707 


  iteration 707; minNextMutationTime = 415.87; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 390



*** Looping through 5.2. Iter = 708 


  iteration 708; minNextMutationTime = 415.888; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 86



*** Looping through 5.2. Iter = 709 


  iteration 709; minNextMutationTime = 415.938; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 45



*** Looping through 5.2. Iter = 710 


  iteration 710; minNextMutationTime = 415.989; timeNextPopSample = 416; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 42



*** Looping through 5.2. Iter = 711 


  iteration 711; minNextMutationTime = 426; timeNextPopSample = 416; popParams.size() = 8

 We are SAMPLING at time 416



*** Looping through 5.2. Iter = 712 


  iteration 712; minNextMutationTime = 416.036; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 89



*** Looping through 5.2. Iter = 713 


  iteration 713; minNextMutationTime = 416.039; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 43



*** Looping through 5.2. Iter = 714 


  iteration 714; minNextMutationTime = 416.045; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 44



*** Looping through 5.2. Iter = 715 


  iteration 715; minNextMutationTime = 416.061; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 91



*** Looping through 5.2. Iter = 716 


  iteration 716; minNextMutationTime = 416.091; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 91



*** Looping through 5.2. Iter = 717 


  iteration 717; minNextMutationTime = 416.152; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 225



*** Looping through 5.2. Iter = 718 


  iteration 718; minNextMutationTime = 416.21; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 88



*** Looping through 5.2. Iter = 719 


  iteration 719; minNextMutationTime = 416.263; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 45



*** Looping through 5.2. Iter = 720 


  iteration 720; minNextMutationTime = 416.273; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 27



*** Looping through 5.2. Iter = 721 


  iteration 721; minNextMutationTime = 416.277; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 50



*** Looping through 5.2. Iter = 722 


  iteration 722; minNextMutationTime = 416.333; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 410



*** Looping through 5.2. Iter = 723 


  iteration 723; minNextMutationTime = 416.363; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 49



*** Looping through 5.2. Iter = 724 


  iteration 724; minNextMutationTime = 416.426; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 231



*** Looping through 5.2. Iter = 725 


  iteration 725; minNextMutationTime = 416.452; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 52



*** Looping through 5.2. Iter = 726 


  iteration 726; minNextMutationTime = 416.559; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 226



*** Looping through 5.2. Iter = 727 


  iteration 727; minNextMutationTime = 416.562; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 53



*** Looping through 5.2. Iter = 728 


  iteration 728; minNextMutationTime = 416.616; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 49



*** Looping through 5.2. Iter = 729 


  iteration 729; minNextMutationTime = 416.63; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 49



*** Looping through 5.2. Iter = 730 


  iteration 730; minNextMutationTime = 416.638; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 55



*** Looping through 5.2. Iter = 731 


  iteration 731; minNextMutationTime = 416.651; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 28



*** Looping through 5.2. Iter = 732 


  iteration 732; minNextMutationTime = 416.656; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 88



*** Looping through 5.2. Iter = 733 


  iteration 733; minNextMutationTime = 416.715; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 56



*** Looping through 5.2. Iter = 734 


  iteration 734; minNextMutationTime = 416.845; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 51



*** Looping through 5.2. Iter = 735 


  iteration 735; minNextMutationTime = 416.907; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 52



*** Looping through 5.2. Iter = 736 


  iteration 736; minNextMutationTime = 416.915; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 418



*** Looping through 5.2. Iter = 737 


  iteration 737; minNextMutationTime = 416.938; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 92



*** Looping through 5.2. Iter = 738 


  iteration 738; minNextMutationTime = 416.984; timeNextPopSample = 417; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 93



*** Looping through 5.2. Iter = 739 


  iteration 739; minNextMutationTime = 427; timeNextPopSample = 417; popParams.size() = 8

 We are SAMPLING at time 417



*** Looping through 5.2. Iter = 740 


  iteration 740; minNextMutationTime = 417.068; timeNextPopSample = 418; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 241



*** Looping through 5.2. Iter = 741 


  iteration 741; minNextMutationTime = 417.086; timeNextPopSample = 418; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 93



*** Looping through 5.2. Iter = 742 


  iteration 742; minNextMutationTime = 417.086; timeNextPopSample = 418; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 53



*** Looping through 5.2. Iter = 743 


  iteration 743; minNextMutationTime = 417.115; timeNextPopSample = 418; popParams.size() = 8

     Creating new species   8         from species 0


*** Looping through 5.2. Iter = 744 


  iteration 744; minNextMutationTime = 417.169; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 94



*** Looping through 5.2. Iter = 745 


  iteration 745; minNextMutationTime = 417.174; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 96



*** Looping through 5.2. Iter = 746 


  iteration 746; minNextMutationTime = 417.194; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 247



*** Looping through 5.2. Iter = 747 


  iteration 747; minNextMutationTime = 417.197; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 33



*** Looping through 5.2. Iter = 748 


  iteration 748; minNextMutationTime = 417.226; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 96



*** Looping through 5.2. Iter = 749 


  iteration 749; minNextMutationTime = 417.226; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 97



*** Looping through 5.2. Iter = 750 


  iteration 750; minNextMutationTime = 417.253; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 433



*** Looping through 5.2. Iter = 751 


  iteration 751; minNextMutationTime = 417.307; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 96



*** Looping through 5.2. Iter = 752 


  iteration 752; minNextMutationTime = 417.317; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 251



*** Looping through 5.2. Iter = 753 


  iteration 753; minNextMutationTime = 417.335; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 31



*** Looping through 5.2. Iter = 754 


  iteration 754; minNextMutationTime = 417.353; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 32



*** Looping through 5.2. Iter = 755 


  iteration 755; minNextMutationTime = 417.37; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 428



*** Looping through 5.2. Iter = 756 


  iteration 756; minNextMutationTime = 417.417; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 431



*** Looping through 5.2. Iter = 757 


  iteration 757; minNextMutationTime = 417.42; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 71



*** Looping through 5.2. Iter = 758 


  iteration 758; minNextMutationTime = 417.47; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 55



*** Looping through 5.2. Iter = 759 


  iteration 759; minNextMutationTime = 417.473; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 55



*** Looping through 5.2. Iter = 760 


  iteration 760; minNextMutationTime = 417.475; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 57



*** Looping through 5.2. Iter = 761 


  iteration 761; minNextMutationTime = 417.489; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 85



*** Looping through 5.2. Iter = 762 


  iteration 762; minNextMutationTime = 417.581; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 437



*** Looping through 5.2. Iter = 763 


  iteration 763; minNextMutationTime = 417.592; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 33



*** Looping through 5.2. Iter = 764 


  iteration 764; minNextMutationTime = 417.597; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 255



*** Looping through 5.2. Iter = 765 


  iteration 765; minNextMutationTime = 417.623; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 74



*** Looping through 5.2. Iter = 766 


  iteration 766; minNextMutationTime = 417.628; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 37



*** Looping through 5.2. Iter = 767 


  iteration 767; minNextMutationTime = 417.673; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 263



*** Looping through 5.2. Iter = 768 


  iteration 768; minNextMutationTime = 417.688; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 74



*** Looping through 5.2. Iter = 769 


  iteration 769; minNextMutationTime = 417.697; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 39



*** Looping through 5.2. Iter = 770 


  iteration 770; minNextMutationTime = 417.77; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 88



*** Looping through 5.2. Iter = 771 


  iteration 771; minNextMutationTime = 417.796; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 62



*** Looping through 5.2. Iter = 772 


  iteration 772; minNextMutationTime = 417.808; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 44



*** Looping through 5.2. Iter = 773 


  iteration 773; minNextMutationTime = 417.831; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 275



*** Looping through 5.2. Iter = 774 


  iteration 774; minNextMutationTime = 417.873; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 440



*** Looping through 5.2. Iter = 775 


  iteration 775; minNextMutationTime = 417.879; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 68



*** Looping through 5.2. Iter = 776 


  iteration 776; minNextMutationTime = 417.896; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 283



*** Looping through 5.2. Iter = 777 


  iteration 777; minNextMutationTime = 417.902; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 450



*** Looping through 5.2. Iter = 778 


  iteration 778; minNextMutationTime = 417.906; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 70



*** Looping through 5.2. Iter = 779 


  iteration 779; minNextMutationTime = 417.907; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 284



*** Looping through 5.2. Iter = 780 


  iteration 780; minNextMutationTime = 417.953; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 76



*** Looping through 5.2. Iter = 781 


  iteration 781; minNextMutationTime = 417.954; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 71



*** Looping through 5.2. Iter = 782 


  iteration 782; minNextMutationTime = 417.976; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 81



*** Looping through 5.2. Iter = 783 


  iteration 783; minNextMutationTime = 417.996; timeNextPopSample = 418; popParams.size() = 9

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 83



*** Looping through 5.2. Iter = 784 


  iteration 784; minNextMutationTime = 428; timeNextPopSample = 418; popParams.size() = 9

 We are SAMPLING at time 418



*** Looping through 5.2. Iter = 785 


  iteration 785; minNextMutationTime = 418.01; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 288



*** Looping through 5.2. Iter = 786 


  iteration 786; minNextMutationTime = 418.07; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 290



*** Looping through 5.2. Iter = 787 


  iteration 787; minNextMutationTime = 418.173; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 74



*** Looping through 5.2. Iter = 788 


  iteration 788; minNextMutationTime = 418.184; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 457



*** Looping through 5.2. Iter = 789 


  iteration 789; minNextMutationTime = 418.193; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 295



*** Looping through 5.2. Iter = 790 


  iteration 790; minNextMutationTime = 418.21; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 83



*** Looping through 5.2. Iter = 791 


  iteration 791; minNextMutationTime = 418.236; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 77



*** Looping through 5.2. Iter = 792 


  iteration 792; minNextMutationTime = 418.289; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 102



*** Looping through 5.2. Iter = 793 


  iteration 793; minNextMutationTime = 418.3; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 82



*** Looping through 5.2. Iter = 794 


  iteration 794; minNextMutationTime = 418.367; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 77



*** Looping through 5.2. Iter = 795 


  iteration 795; minNextMutationTime = 418.399; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 83



*** Looping through 5.2. Iter = 796 


  iteration 796; minNextMutationTime = 418.414; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 45



*** Looping through 5.2. Iter = 797 


  iteration 797; minNextMutationTime = 418.463; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 83



*** Looping through 5.2. Iter = 798 


  iteration 798; minNextMutationTime = 418.463; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 84



*** Looping through 5.2. Iter = 799 


  iteration 799; minNextMutationTime = 418.467; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 457



*** Looping through 5.2. Iter = 800 


  iteration 800; minNextMutationTime = 418.47; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 81



*** Looping through 5.2. Iter = 801 


  iteration 801; minNextMutationTime = 418.48; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 297



*** Looping through 5.2. Iter = 802 


  iteration 802; minNextMutationTime = 418.482; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 457



*** Looping through 5.2. Iter = 803 


  iteration 803; minNextMutationTime = 418.495; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 47



*** Looping through 5.2. Iter = 804 


  iteration 804; minNextMutationTime = 418.501; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 297



*** Looping through 5.2. Iter = 805 


  iteration 805; minNextMutationTime = 418.505; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 459



*** Looping through 5.2. Iter = 806 


  iteration 806; minNextMutationTime = 418.521; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 103



*** Looping through 5.2. Iter = 807 


  iteration 807; minNextMutationTime = 418.532; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 295



*** Looping through 5.2. Iter = 808 


  iteration 808; minNextMutationTime = 418.54; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 461



*** Looping through 5.2. Iter = 809 


  iteration 809; minNextMutationTime = 418.546; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 85



*** Looping through 5.2. Iter = 810 


  iteration 810; minNextMutationTime = 418.61; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 83



*** Looping through 5.2. Iter = 811 


  iteration 811; minNextMutationTime = 418.678; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 295



*** Looping through 5.2. Iter = 812 


  iteration 812; minNextMutationTime = 418.685; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 104



*** Looping through 5.2. Iter = 813 


  iteration 813; minNextMutationTime = 418.757; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 106



*** Looping through 5.2. Iter = 814 


  iteration 814; minNextMutationTime = 418.79; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 301



*** Looping through 5.2. Iter = 815 


  iteration 815; minNextMutationTime = 418.799; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 302



*** Looping through 5.2. Iter = 816 


  iteration 816; minNextMutationTime = 418.801; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 48



*** Looping through 5.2. Iter = 817 


  iteration 817; minNextMutationTime = 418.83; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 87



*** Looping through 5.2. Iter = 818 


  iteration 818; minNextMutationTime = 418.858; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 464



*** Looping through 5.2. Iter = 819 


  iteration 819; minNextMutationTime = 418.893; timeNextPopSample = 419; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 47



*** Looping through 5.2. Iter = 820 


  iteration 820; minNextMutationTime = 429; timeNextPopSample = 419; popParams.size() = 8

 We are SAMPLING at time 419



*** Looping through 5.2. Iter = 821 


  iteration 821; minNextMutationTime = 419.045; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 90



*** Looping through 5.2. Iter = 822 


  iteration 822; minNextMutationTime = 419.093; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 90



*** Looping through 5.2. Iter = 823 


  iteration 823; minNextMutationTime = 419.097; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 310



*** Looping through 5.2. Iter = 824 


  iteration 824; minNextMutationTime = 419.13; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 48



*** Looping through 5.2. Iter = 825 


  iteration 825; minNextMutationTime = 419.144; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 310



*** Looping through 5.2. Iter = 826 


  iteration 826; minNextMutationTime = 419.199; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 87



*** Looping through 5.2. Iter = 827 


  iteration 827; minNextMutationTime = 419.261; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 320



*** Looping through 5.2. Iter = 828 


  iteration 828; minNextMutationTime = 419.276; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 460



*** Looping through 5.2. Iter = 829 


  iteration 829; minNextMutationTime = 419.33; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 332



*** Looping through 5.2. Iter = 830 


  iteration 830; minNextMutationTime = 419.403; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 86



*** Looping through 5.2. Iter = 831 


  iteration 831; minNextMutationTime = 419.475; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 342



*** Looping through 5.2. Iter = 832 


  iteration 832; minNextMutationTime = 419.478; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 87



*** Looping through 5.2. Iter = 833 


  iteration 833; minNextMutationTime = 419.479; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 49



*** Looping through 5.2. Iter = 834 


  iteration 834; minNextMutationTime = 419.487; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 107



*** Looping through 5.2. Iter = 835 


  iteration 835; minNextMutationTime = 419.503; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 338



*** Looping through 5.2. Iter = 836 


  iteration 836; minNextMutationTime = 419.51; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 50



*** Looping through 5.2. Iter = 837 


  iteration 837; minNextMutationTime = 419.696; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 103



*** Looping through 5.2. Iter = 838 


  iteration 838; minNextMutationTime = 419.71; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 92



*** Looping through 5.2. Iter = 839 


  iteration 839; minNextMutationTime = 419.727; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 87



*** Looping through 5.2. Iter = 840 


  iteration 840; minNextMutationTime = 419.737; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 50



*** Looping through 5.2. Iter = 841 


  iteration 841; minNextMutationTime = 419.753; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 96



*** Looping through 5.2. Iter = 842 


  iteration 842; minNextMutationTime = 419.758; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 341



*** Looping through 5.2. Iter = 843 


  iteration 843; minNextMutationTime = 419.786; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 457



*** Looping through 5.2. Iter = 844 


  iteration 844; minNextMutationTime = 419.793; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 51



*** Looping through 5.2. Iter = 845 


  iteration 845; minNextMutationTime = 419.793; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 97



*** Looping through 5.2. Iter = 846 


  iteration 846; minNextMutationTime = 419.805; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 456



*** Looping through 5.2. Iter = 847 


  iteration 847; minNextMutationTime = 419.825; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 51



*** Looping through 5.2. Iter = 848 


  iteration 848; minNextMutationTime = 419.845; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 88



*** Looping through 5.2. Iter = 849 


  iteration 849; minNextMutationTime = 419.887; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 101



*** Looping through 5.2. Iter = 850 


  iteration 850; minNextMutationTime = 419.914; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 52



*** Looping through 5.2. Iter = 851 


  iteration 851; minNextMutationTime = 419.926; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 91



*** Looping through 5.2. Iter = 852 


  iteration 852; minNextMutationTime = 419.969; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 102



*** Looping through 5.2. Iter = 853 


  iteration 853; minNextMutationTime = 419.998; timeNextPopSample = 420; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 91



*** Looping through 5.2. Iter = 854 


  iteration 854; minNextMutationTime = 430; timeNextPopSample = 420; popParams.size() = 8

 We are SAMPLING at time 420



*** Looping through 5.2. Iter = 855 


  iteration 855; minNextMutationTime = 420.084; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 98



*** Looping through 5.2. Iter = 856 


  iteration 856; minNextMutationTime = 420.108; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 347



*** Looping through 5.2. Iter = 857 


  iteration 857; minNextMutationTime = 420.121; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 53



*** Looping through 5.2. Iter = 858 


  iteration 858; minNextMutationTime = 420.127; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 456



*** Looping through 5.2. Iter = 859 


  iteration 859; minNextMutationTime = 420.255; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 341



*** Looping through 5.2. Iter = 860 


  iteration 860; minNextMutationTime = 420.353; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 98



*** Looping through 5.2. Iter = 861 


  iteration 861; minNextMutationTime = 420.381; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 53



*** Looping through 5.2. Iter = 862 


  iteration 862; minNextMutationTime = 420.424; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 52



*** Looping through 5.2. Iter = 863 


  iteration 863; minNextMutationTime = 420.425; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 343



*** Looping through 5.2. Iter = 864 


  iteration 864; minNextMutationTime = 420.427; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 102



*** Looping through 5.2. Iter = 865 


  iteration 865; minNextMutationTime = 420.527; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 98



*** Looping through 5.2. Iter = 866 


  iteration 866; minNextMutationTime = 420.547; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 108



*** Looping through 5.2. Iter = 867 


  iteration 867; minNextMutationTime = 420.559; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 339



*** Looping through 5.2. Iter = 868 


  iteration 868; minNextMutationTime = 420.584; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 110



*** Looping through 5.2. Iter = 869 


  iteration 869; minNextMutationTime = 420.626; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 101



*** Looping through 5.2. Iter = 870 


  iteration 870; minNextMutationTime = 420.738; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 103



*** Looping through 5.2. Iter = 871 


  iteration 871; minNextMutationTime = 420.744; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 113



*** Looping through 5.2. Iter = 872 


  iteration 872; minNextMutationTime = 420.749; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 115



*** Looping through 5.2. Iter = 873 


  iteration 873; minNextMutationTime = 420.828; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 331



*** Looping through 5.2. Iter = 874 


  iteration 874; minNextMutationTime = 420.85; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 54



*** Looping through 5.2. Iter = 875 


  iteration 875; minNextMutationTime = 420.883; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 116



*** Looping through 5.2. Iter = 876 


  iteration 876; minNextMutationTime = 420.894; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 119



*** Looping through 5.2. Iter = 877 


  iteration 877; minNextMutationTime = 420.907; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 123



*** Looping through 5.2. Iter = 878 


  iteration 878; minNextMutationTime = 420.908; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 55



*** Looping through 5.2. Iter = 879 


  iteration 879; minNextMutationTime = 420.921; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 100



*** Looping through 5.2. Iter = 880 


  iteration 880; minNextMutationTime = 420.941; timeNextPopSample = 421; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 123



*** Looping through 5.2. Iter = 881 


  iteration 881; minNextMutationTime = 431; timeNextPopSample = 421; popParams.size() = 8

 We are SAMPLING at time 421



*** Looping through 5.2. Iter = 882 


  iteration 882; minNextMutationTime = 421.079; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 88



*** Looping through 5.2. Iter = 883 


  iteration 883; minNextMutationTime = 421.103; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 336



*** Looping through 5.2. Iter = 884 


  iteration 884; minNextMutationTime = 421.117; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 340



*** Looping through 5.2. Iter = 885 


  iteration 885; minNextMutationTime = 421.135; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 60



*** Looping through 5.2. Iter = 886 


  iteration 886; minNextMutationTime = 421.203; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 136



*** Looping through 5.2. Iter = 887 


  iteration 887; minNextMutationTime = 421.215; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 62



*** Looping through 5.2. Iter = 888 


  iteration 888; minNextMutationTime = 421.228; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 451



*** Looping through 5.2. Iter = 889 


  iteration 889; minNextMutationTime = 421.238; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 452



*** Looping through 5.2. Iter = 890 


  iteration 890; minNextMutationTime = 421.251; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 335



*** Looping through 5.2. Iter = 891 


  iteration 891; minNextMutationTime = 421.257; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 135



*** Looping through 5.2. Iter = 892 


  iteration 892; minNextMutationTime = 421.269; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 333



*** Looping through 5.2. Iter = 893 


  iteration 893; minNextMutationTime = 421.291; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 332



*** Looping through 5.2. Iter = 894 


  iteration 894; minNextMutationTime = 421.294; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 63



*** Looping through 5.2. Iter = 895 


  iteration 895; minNextMutationTime = 421.304; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 62



*** Looping through 5.2. Iter = 896 


  iteration 896; minNextMutationTime = 421.343; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 86



*** Looping through 5.2. Iter = 897 


  iteration 897; minNextMutationTime = 421.376; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 136



*** Looping through 5.2. Iter = 898 


  iteration 898; minNextMutationTime = 421.394; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 455



*** Looping through 5.2. Iter = 899 


  iteration 899; minNextMutationTime = 421.406; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 335



*** Looping through 5.2. Iter = 900 


  iteration 900; minNextMutationTime = 421.462; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 328



*** Looping through 5.2. Iter = 901 


  iteration 901; minNextMutationTime = 421.462; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 105



*** Looping through 5.2. Iter = 902 


  iteration 902; minNextMutationTime = 421.467; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 63



*** Looping through 5.2. Iter = 903 


  iteration 903; minNextMutationTime = 421.479; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 65



*** Looping through 5.2. Iter = 904 


  iteration 904; minNextMutationTime = 421.498; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 465



*** Looping through 5.2. Iter = 905 


  iteration 905; minNextMutationTime = 421.518; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 64



*** Looping through 5.2. Iter = 906 


  iteration 906; minNextMutationTime = 421.529; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 106



*** Looping through 5.2. Iter = 907 


  iteration 907; minNextMutationTime = 421.536; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 107



*** Looping through 5.2. Iter = 908 


  iteration 908; minNextMutationTime = 421.56; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 135



*** Looping through 5.2. Iter = 909 


  iteration 909; minNextMutationTime = 421.588; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 145



*** Looping through 5.2. Iter = 910 


  iteration 910; minNextMutationTime = 421.591; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 65



*** Looping through 5.2. Iter = 911 


  iteration 911; minNextMutationTime = 421.621; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 105



*** Looping through 5.2. Iter = 912 


  iteration 912; minNextMutationTime = 421.654; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 88



*** Looping through 5.2. Iter = 913 


  iteration 913; minNextMutationTime = 421.658; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 105



*** Looping through 5.2. Iter = 914 


  iteration 914; minNextMutationTime = 421.662; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 66



*** Looping through 5.2. Iter = 915 


  iteration 915; minNextMutationTime = 421.667; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 467



*** Looping through 5.2. Iter = 916 


  iteration 916; minNextMutationTime = 421.69; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 104



*** Looping through 5.2. Iter = 917 


  iteration 917; minNextMutationTime = 421.766; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 490



*** Looping through 5.2. Iter = 918 


  iteration 918; minNextMutationTime = 421.812; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 499



*** Looping through 5.2. Iter = 919 


  iteration 919; minNextMutationTime = 421.865; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 501



*** Looping through 5.2. Iter = 920 


  iteration 920; minNextMutationTime = 421.89; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 66



*** Looping through 5.2. Iter = 921 


  iteration 921; minNextMutationTime = 421.949; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 147



*** Looping through 5.2. Iter = 922 


  iteration 922; minNextMutationTime = 421.968; timeNextPopSample = 422; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 331



*** Looping through 5.2. Iter = 923 


  iteration 923; minNextMutationTime = 432; timeNextPopSample = 422; popParams.size() = 8

 We are SAMPLING at time 422



*** Looping through 5.2. Iter = 924 


  iteration 924; minNextMutationTime = 422.005; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 513



*** Looping through 5.2. Iter = 925 


  iteration 925; minNextMutationTime = 422.016; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 327



*** Looping through 5.2. Iter = 926 


  iteration 926; minNextMutationTime = 422.084; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 104



*** Looping through 5.2. Iter = 927 


  iteration 927; minNextMutationTime = 422.108; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 323



*** Looping through 5.2. Iter = 928 


  iteration 928; minNextMutationTime = 422.123; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 90



*** Looping through 5.2. Iter = 929 


  iteration 929; minNextMutationTime = 422.147; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 522



*** Looping through 5.2. Iter = 930 


  iteration 930; minNextMutationTime = 422.152; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 69



*** Looping through 5.2. Iter = 931 


  iteration 931; minNextMutationTime = 422.154; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 105



*** Looping through 5.2. Iter = 932 


  iteration 932; minNextMutationTime = 422.174; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 69



*** Looping through 5.2. Iter = 933 


  iteration 933; minNextMutationTime = 422.205; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 108



*** Looping through 5.2. Iter = 934 


  iteration 934; minNextMutationTime = 422.213; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 523



*** Looping through 5.2. Iter = 935 


  iteration 935; minNextMutationTime = 422.249; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 93



*** Looping through 5.2. Iter = 936 


  iteration 936; minNextMutationTime = 422.269; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 95



*** Looping through 5.2. Iter = 937 


  iteration 937; minNextMutationTime = 422.3; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 150



*** Looping through 5.2. Iter = 938 


  iteration 938; minNextMutationTime = 422.352; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 108



*** Looping through 5.2. Iter = 939 


  iteration 939; minNextMutationTime = 422.366; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 149



*** Looping through 5.2. Iter = 940 


  iteration 940; minNextMutationTime = 422.42; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 89



*** Looping through 5.2. Iter = 941 


  iteration 941; minNextMutationTime = 422.426; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 70



*** Looping through 5.2. Iter = 942 


  iteration 942; minNextMutationTime = 422.433; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 524



*** Looping through 5.2. Iter = 943 


  iteration 943; minNextMutationTime = 422.448; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 92



*** Looping through 5.2. Iter = 944 


  iteration 944; minNextMutationTime = 422.453; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 69



*** Looping through 5.2. Iter = 945 


  iteration 945; minNextMutationTime = 422.464; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 149



*** Looping through 5.2. Iter = 946 


  iteration 946; minNextMutationTime = 422.503; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 67



*** Looping through 5.2. Iter = 947 


  iteration 947; minNextMutationTime = 422.519; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 528



*** Looping through 5.2. Iter = 948 


  iteration 948; minNextMutationTime = 422.538; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 152



*** Looping through 5.2. Iter = 949 


  iteration 949; minNextMutationTime = 422.553; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 329



*** Looping through 5.2. Iter = 950 


  iteration 950; minNextMutationTime = 422.577; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 93



*** Looping through 5.2. Iter = 951 


  iteration 951; minNextMutationTime = 422.582; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 107



*** Looping through 5.2. Iter = 952 


  iteration 952; minNextMutationTime = 422.591; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 67



*** Looping through 5.2. Iter = 953 


  iteration 953; minNextMutationTime = 422.61; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 106



*** Looping through 5.2. Iter = 954 


  iteration 954; minNextMutationTime = 422.651; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 331



*** Looping through 5.2. Iter = 955 


  iteration 955; minNextMutationTime = 422.698; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 519



*** Looping through 5.2. Iter = 956 


  iteration 956; minNextMutationTime = 422.743; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 91



*** Looping through 5.2. Iter = 957 


  iteration 957; minNextMutationTime = 422.749; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 67



*** Looping through 5.2. Iter = 958 


  iteration 958; minNextMutationTime = 422.785; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 528



*** Looping through 5.2. Iter = 959 


  iteration 959; minNextMutationTime = 422.845; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 90



*** Looping through 5.2. Iter = 960 


  iteration 960; minNextMutationTime = 422.9; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 149



*** Looping through 5.2. Iter = 961 


  iteration 961; minNextMutationTime = 422.9; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 150



*** Looping through 5.2. Iter = 962 


  iteration 962; minNextMutationTime = 422.969; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 525



*** Looping through 5.2. Iter = 963 


  iteration 963; minNextMutationTime = 422.975; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 528



*** Looping through 5.2. Iter = 964 


  iteration 964; minNextMutationTime = 422.98; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 68



*** Looping through 5.2. Iter = 965 


  iteration 965; minNextMutationTime = 422.982; timeNextPopSample = 423; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 531



*** Looping through 5.2. Iter = 966 


  iteration 966; minNextMutationTime = 433; timeNextPopSample = 423; popParams.size() = 8

 We are SAMPLING at time 423



*** Looping through 5.2. Iter = 967 


  iteration 967; minNextMutationTime = 423.018; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 111



*** Looping through 5.2. Iter = 968 


  iteration 968; minNextMutationTime = 423.03; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 339



*** Looping through 5.2. Iter = 969 


  iteration 969; minNextMutationTime = 423.036; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 156



*** Looping through 5.2. Iter = 970 


  iteration 970; minNextMutationTime = 423.056; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 92



*** Looping through 5.2. Iter = 971 


  iteration 971; minNextMutationTime = 423.113; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 105



*** Looping through 5.2. Iter = 972 


  iteration 972; minNextMutationTime = 423.128; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 158



*** Looping through 5.2. Iter = 973 


  iteration 973; minNextMutationTime = 423.141; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 107



*** Looping through 5.2. Iter = 974 


  iteration 974; minNextMutationTime = 423.16; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 161



*** Looping through 5.2. Iter = 975 


  iteration 975; minNextMutationTime = 423.166; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 161



*** Looping through 5.2. Iter = 976 


  iteration 976; minNextMutationTime = 423.175; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 160



*** Looping through 5.2. Iter = 977 


  iteration 977; minNextMutationTime = 423.176; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 340



*** Looping through 5.2. Iter = 978 


  iteration 978; minNextMutationTime = 423.176; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 93



*** Looping through 5.2. Iter = 979 


  iteration 979; minNextMutationTime = 423.185; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 162



*** Looping through 5.2. Iter = 980 


  iteration 980; minNextMutationTime = 423.216; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 340



*** Looping through 5.2. Iter = 981 


  iteration 981; minNextMutationTime = 423.22; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 93



*** Looping through 5.2. Iter = 982 


  iteration 982; minNextMutationTime = 423.229; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 69



*** Looping through 5.2. Iter = 983 


  iteration 983; minNextMutationTime = 423.247; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 94



*** Looping through 5.2. Iter = 984 


  iteration 984; minNextMutationTime = 423.25; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 70



*** Looping through 5.2. Iter = 985 


  iteration 985; minNextMutationTime = 423.253; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 107



*** Looping through 5.2. Iter = 986 


  iteration 986; minNextMutationTime = 423.305; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 346



*** Looping through 5.2. Iter = 987 


  iteration 987; minNextMutationTime = 423.307; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 95



*** Looping through 5.2. Iter = 988 


  iteration 988; minNextMutationTime = 423.351; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 349



*** Looping through 5.2. Iter = 989 


  iteration 989; minNextMutationTime = 423.354; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 351



*** Looping through 5.2. Iter = 990 


  iteration 990; minNextMutationTime = 423.357; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 108



*** Looping through 5.2. Iter = 991 


  iteration 991; minNextMutationTime = 423.361; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 531



*** Looping through 5.2. Iter = 992 


  iteration 992; minNextMutationTime = 423.367; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 352



*** Looping through 5.2. Iter = 993 


  iteration 993; minNextMutationTime = 423.386; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 350



*** Looping through 5.2. Iter = 994 


  iteration 994; minNextMutationTime = 423.433; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 163



*** Looping through 5.2. Iter = 995 


  iteration 995; minNextMutationTime = 423.478; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 168



*** Looping through 5.2. Iter = 996 


  iteration 996; minNextMutationTime = 423.511; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 70



*** Looping through 5.2. Iter = 997 


  iteration 997; minNextMutationTime = 423.52; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 110



*** Looping through 5.2. Iter = 998 


  iteration 998; minNextMutationTime = 423.537; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 539



*** Looping through 5.2. Iter = 999 


  iteration 999; minNextMutationTime = 423.541; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 110


    ... iteration 1000
    ... currentTime 423.541



*** Looping through 5.2. Iter = 1000 


  iteration 1000; minNextMutationTime = 423.548; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 542



*** Looping through 5.2. Iter = 1001 


  iteration 1001; minNextMutationTime = 423.558; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 96



*** Looping through 5.2. Iter = 1002 


  iteration 1002; minNextMutationTime = 423.585; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 556



*** Looping through 5.2. Iter = 1003 


  iteration 1003; minNextMutationTime = 423.592; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 98



*** Looping through 5.2. Iter = 1004 


  iteration 1004; minNextMutationTime = 423.593; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 99



*** Looping through 5.2. Iter = 1005 


  iteration 1005; minNextMutationTime = 423.608; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 554



*** Looping through 5.2. Iter = 1006 


  iteration 1006; minNextMutationTime = 423.611; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 100



*** Looping through 5.2. Iter = 1007 


  iteration 1007; minNextMutationTime = 423.617; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 353



*** Looping through 5.2. Iter = 1008 


  iteration 1008; minNextMutationTime = 423.633; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 70



*** Looping through 5.2. Iter = 1009 


  iteration 1009; minNextMutationTime = 423.665; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 69



*** Looping through 5.2. Iter = 1010 


  iteration 1010; minNextMutationTime = 423.68; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 562



*** Looping through 5.2. Iter = 1011 


  iteration 1011; minNextMutationTime = 423.682; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 169



*** Looping through 5.2. Iter = 1012 


  iteration 1012; minNextMutationTime = 423.682; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 354



*** Looping through 5.2. Iter = 1013 


  iteration 1013; minNextMutationTime = 423.689; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 169



*** Looping through 5.2. Iter = 1014 


  iteration 1014; minNextMutationTime = 423.69; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 355



*** Looping through 5.2. Iter = 1015 


  iteration 1015; minNextMutationTime = 423.738; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 101



*** Looping through 5.2. Iter = 1016 


  iteration 1016; minNextMutationTime = 423.757; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 556



*** Looping through 5.2. Iter = 1017 


  iteration 1017; minNextMutationTime = 423.826; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 118



*** Looping through 5.2. Iter = 1018 


  iteration 1018; minNextMutationTime = 423.828; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 355



*** Looping through 5.2. Iter = 1019 


  iteration 1019; minNextMutationTime = 423.839; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 560



*** Looping through 5.2. Iter = 1020 


  iteration 1020; minNextMutationTime = 423.846; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 119



*** Looping through 5.2. Iter = 1021 


  iteration 1021; minNextMutationTime = 423.878; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 122



*** Looping through 5.2. Iter = 1022 


  iteration 1022; minNextMutationTime = 423.896; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 101



*** Looping through 5.2. Iter = 1023 


  iteration 1023; minNextMutationTime = 423.944; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 358



*** Looping through 5.2. Iter = 1024 


  iteration 1024; minNextMutationTime = 423.967; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 100



*** Looping through 5.2. Iter = 1025 


  iteration 1025; minNextMutationTime = 423.969; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 125



*** Looping through 5.2. Iter = 1026 


  iteration 1026; minNextMutationTime = 423.981; timeNextPopSample = 424; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 101



*** Looping through 5.2. Iter = 1027 


  iteration 1027; minNextMutationTime = 434; timeNextPopSample = 424; popParams.size() = 8

 We are SAMPLING at time 424



*** Looping through 5.2. Iter = 1028 


  iteration 1028; minNextMutationTime = 424.051; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 129



*** Looping through 5.2. Iter = 1029 


  iteration 1029; minNextMutationTime = 424.083; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 126



*** Looping through 5.2. Iter = 1030 


  iteration 1030; minNextMutationTime = 424.094; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 172



*** Looping through 5.2. Iter = 1031 


  iteration 1031; minNextMutationTime = 424.094; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 362



*** Looping through 5.2. Iter = 1032 


  iteration 1032; minNextMutationTime = 424.148; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 100



*** Looping through 5.2. Iter = 1033 


  iteration 1033; minNextMutationTime = 424.159; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 101



*** Looping through 5.2. Iter = 1034 


  iteration 1034; minNextMutationTime = 424.195; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 130



*** Looping through 5.2. Iter = 1035 


  iteration 1035; minNextMutationTime = 424.245; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 176



*** Looping through 5.2. Iter = 1036 


  iteration 1036; minNextMutationTime = 424.283; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 129



*** Looping through 5.2. Iter = 1037 


  iteration 1037; minNextMutationTime = 424.321; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 107



*** Looping through 5.2. Iter = 1038 


  iteration 1038; minNextMutationTime = 424.331; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 109



*** Looping through 5.2. Iter = 1039 


  iteration 1039; minNextMutationTime = 424.345; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 176



*** Looping through 5.2. Iter = 1040 


  iteration 1040; minNextMutationTime = 424.346; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 131



*** Looping through 5.2. Iter = 1041 


  iteration 1041; minNextMutationTime = 424.366; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 72



*** Looping through 5.2. Iter = 1042 


  iteration 1042; minNextMutationTime = 424.395; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 109



*** Looping through 5.2. Iter = 1043 


  iteration 1043; minNextMutationTime = 424.413; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 75



*** Looping through 5.2. Iter = 1044 


  iteration 1044; minNextMutationTime = 424.416; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 132



*** Looping through 5.2. Iter = 1045 


  iteration 1045; minNextMutationTime = 424.443; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 368



*** Looping through 5.2. Iter = 1046 


  iteration 1046; minNextMutationTime = 424.449; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 109



*** Looping through 5.2. Iter = 1047 


  iteration 1047; minNextMutationTime = 424.484; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 367



*** Looping through 5.2. Iter = 1048 


  iteration 1048; minNextMutationTime = 424.492; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 75



*** Looping through 5.2. Iter = 1049 


  iteration 1049; minNextMutationTime = 424.515; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 177



*** Looping through 5.2. Iter = 1050 


  iteration 1050; minNextMutationTime = 424.518; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 111



*** Looping through 5.2. Iter = 1051 


  iteration 1051; minNextMutationTime = 424.568; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 134



*** Looping through 5.2. Iter = 1052 


  iteration 1052; minNextMutationTime = 424.597; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 72



*** Looping through 5.2. Iter = 1053 


  iteration 1053; minNextMutationTime = 424.607; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 135



*** Looping through 5.2. Iter = 1054 


  iteration 1054; minNextMutationTime = 424.625; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 173



*** Looping through 5.2. Iter = 1055 


  iteration 1055; minNextMutationTime = 424.658; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 363



*** Looping through 5.2. Iter = 1056 


  iteration 1056; minNextMutationTime = 424.679; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 173



*** Looping through 5.2. Iter = 1057 


  iteration 1057; minNextMutationTime = 424.68; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 136



*** Looping through 5.2. Iter = 1058 


  iteration 1058; minNextMutationTime = 424.704; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 72



*** Looping through 5.2. Iter = 1059 


  iteration 1059; minNextMutationTime = 424.712; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 364



*** Looping through 5.2. Iter = 1060 


  iteration 1060; minNextMutationTime = 424.756; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 372



*** Looping through 5.2. Iter = 1061 


  iteration 1061; minNextMutationTime = 424.771; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 113



*** Looping through 5.2. Iter = 1062 


  iteration 1062; minNextMutationTime = 424.819; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 183



*** Looping through 5.2. Iter = 1063 


  iteration 1063; minNextMutationTime = 424.834; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 114



*** Looping through 5.2. Iter = 1064 


  iteration 1064; minNextMutationTime = 424.835; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 373



*** Looping through 5.2. Iter = 1065 


  iteration 1065; minNextMutationTime = 424.845; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 140



*** Looping through 5.2. Iter = 1066 


  iteration 1066; minNextMutationTime = 424.931; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 145



*** Looping through 5.2. Iter = 1067 


  iteration 1067; minNextMutationTime = 424.958; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 74



*** Looping through 5.2. Iter = 1068 


  iteration 1068; minNextMutationTime = 424.965; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 186



*** Looping through 5.2. Iter = 1069 


  iteration 1069; minNextMutationTime = 424.974; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 372



*** Looping through 5.2. Iter = 1070 


  iteration 1070; minNextMutationTime = 424.999; timeNextPopSample = 425; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 379



*** Looping through 5.2. Iter = 1071 


  iteration 1071; minNextMutationTime = 435; timeNextPopSample = 425; popParams.size() = 8

 We are SAMPLING at time 425



*** Looping through 5.2. Iter = 1072 


  iteration 1072; minNextMutationTime = 425.023; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 189



*** Looping through 5.2. Iter = 1073 


  iteration 1073; minNextMutationTime = 425.035; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 386



*** Looping through 5.2. Iter = 1074 


  iteration 1074; minNextMutationTime = 425.052; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 116



*** Looping through 5.2. Iter = 1075 


  iteration 1075; minNextMutationTime = 425.056; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 194



*** Looping through 5.2. Iter = 1076 


  iteration 1076; minNextMutationTime = 425.071; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 148



*** Looping through 5.2. Iter = 1077 


  iteration 1077; minNextMutationTime = 425.082; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 118



*** Looping through 5.2. Iter = 1078 


  iteration 1078; minNextMutationTime = 425.126; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 73



*** Looping through 5.2. Iter = 1079 


  iteration 1079; minNextMutationTime = 425.157; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 390



*** Looping through 5.2. Iter = 1080 


  iteration 1080; minNextMutationTime = 425.175; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 148



*** Looping through 5.2. Iter = 1081 


  iteration 1081; minNextMutationTime = 425.183; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 118



*** Looping through 5.2. Iter = 1082 


  iteration 1082; minNextMutationTime = 425.198; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 118



*** Looping through 5.2. Iter = 1083 


  iteration 1083; minNextMutationTime = 425.216; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 390



*** Looping through 5.2. Iter = 1084 


  iteration 1084; minNextMutationTime = 425.242; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 75



*** Looping through 5.2. Iter = 1085 


  iteration 1085; minNextMutationTime = 425.251; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 76



*** Looping through 5.2. Iter = 1086 


  iteration 1086; minNextMutationTime = 425.272; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 150



*** Looping through 5.2. Iter = 1087 


  iteration 1087; minNextMutationTime = 425.317; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 157



*** Looping through 5.2. Iter = 1088 


  iteration 1088; minNextMutationTime = 425.341; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 572



*** Looping through 5.2. Iter = 1089 


  iteration 1089; minNextMutationTime = 425.354; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 194



*** Looping through 5.2. Iter = 1090 


  iteration 1090; minNextMutationTime = 425.374; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 203



*** Looping through 5.2. Iter = 1091 


  iteration 1091; minNextMutationTime = 425.379; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 76



*** Looping through 5.2. Iter = 1092 


  iteration 1092; minNextMutationTime = 425.381; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 570



*** Looping through 5.2. Iter = 1093 


  iteration 1093; minNextMutationTime = 425.383; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 119



*** Looping through 5.2. Iter = 1094 


  iteration 1094; minNextMutationTime = 425.388; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 573



*** Looping through 5.2. Iter = 1095 


  iteration 1095; minNextMutationTime = 425.409; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 124



*** Looping through 5.2. Iter = 1096 


  iteration 1096; minNextMutationTime = 425.41; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 157



*** Looping through 5.2. Iter = 1097 


  iteration 1097; minNextMutationTime = 425.412; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 157



*** Looping through 5.2. Iter = 1098 


  iteration 1098; minNextMutationTime = 425.432; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 575



*** Looping through 5.2. Iter = 1099 


  iteration 1099; minNextMutationTime = 425.448; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 205



*** Looping through 5.2. Iter = 1100 


  iteration 1100; minNextMutationTime = 425.454; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 76



*** Looping through 5.2. Iter = 1101 


  iteration 1101; minNextMutationTime = 425.457; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 77



*** Looping through 5.2. Iter = 1102 


  iteration 1102; minNextMutationTime = 425.469; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 204



*** Looping through 5.2. Iter = 1103 


  iteration 1103; minNextMutationTime = 425.513; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 77



*** Looping through 5.2. Iter = 1104 


  iteration 1104; minNextMutationTime = 425.543; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 203



*** Looping through 5.2. Iter = 1105 


  iteration 1105; minNextMutationTime = 425.565; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 393



*** Looping through 5.2. Iter = 1106 


  iteration 1106; minNextMutationTime = 425.567; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 204



*** Looping through 5.2. Iter = 1107 


  iteration 1107; minNextMutationTime = 425.568; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 205



*** Looping through 5.2. Iter = 1108 


  iteration 1108; minNextMutationTime = 425.6; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 81



*** Looping through 5.2. Iter = 1109 


  iteration 1109; minNextMutationTime = 425.603; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 206



*** Looping through 5.2. Iter = 1110 


  iteration 1110; minNextMutationTime = 425.619; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 394



*** Looping through 5.2. Iter = 1111 


  iteration 1111; minNextMutationTime = 425.619; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 576



*** Looping through 5.2. Iter = 1112 


  iteration 1112; minNextMutationTime = 425.689; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 128



*** Looping through 5.2. Iter = 1113 


  iteration 1113; minNextMutationTime = 425.696; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 157



*** Looping through 5.2. Iter = 1114 


  iteration 1114; minNextMutationTime = 425.698; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 128



*** Looping through 5.2. Iter = 1115 


  iteration 1115; minNextMutationTime = 425.701; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 157



*** Looping through 5.2. Iter = 1116 


  iteration 1116; minNextMutationTime = 425.811; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 402



*** Looping through 5.2. Iter = 1117 


  iteration 1117; minNextMutationTime = 425.822; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 581



*** Looping through 5.2. Iter = 1118 


  iteration 1118; minNextMutationTime = 425.829; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 400



*** Looping through 5.2. Iter = 1119 


  iteration 1119; minNextMutationTime = 425.837; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 81



*** Looping through 5.2. Iter = 1120 


  iteration 1120; minNextMutationTime = 425.85; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 82



*** Looping through 5.2. Iter = 1121 


  iteration 1121; minNextMutationTime = 425.851; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 402



*** Looping through 5.2. Iter = 1122 


  iteration 1122; minNextMutationTime = 425.851; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 83



*** Looping through 5.2. Iter = 1123 


  iteration 1123; minNextMutationTime = 425.868; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 581



*** Looping through 5.2. Iter = 1124 


  iteration 1124; minNextMutationTime = 425.873; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 157



*** Looping through 5.2. Iter = 1125 


  iteration 1125; minNextMutationTime = 425.929; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 402



*** Looping through 5.2. Iter = 1126 


  iteration 1126; minNextMutationTime = 425.941; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 131



*** Looping through 5.2. Iter = 1127 


  iteration 1127; minNextMutationTime = 425.958; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 581



*** Looping through 5.2. Iter = 1128 


  iteration 1128; minNextMutationTime = 425.973; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 133



*** Looping through 5.2. Iter = 1129 


  iteration 1129; minNextMutationTime = 425.987; timeNextPopSample = 426; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 155



*** Looping through 5.2. Iter = 1130 


  iteration 1130; minNextMutationTime = 436; timeNextPopSample = 426; popParams.size() = 8

 We are SAMPLING at time 426



*** Looping through 5.2. Iter = 1131 


  iteration 1131; minNextMutationTime = 426.003; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 157



*** Looping through 5.2. Iter = 1132 


  iteration 1132; minNextMutationTime = 426.018; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 204



*** Looping through 5.2. Iter = 1133 


  iteration 1133; minNextMutationTime = 426.018; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 87



*** Looping through 5.2. Iter = 1134 


  iteration 1134; minNextMutationTime = 426.073; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 202



*** Looping through 5.2. Iter = 1135 


  iteration 1135; minNextMutationTime = 426.112; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 582



*** Looping through 5.2. Iter = 1136 


  iteration 1136; minNextMutationTime = 426.131; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 403



*** Looping through 5.2. Iter = 1137 


  iteration 1137; minNextMutationTime = 426.139; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 586



*** Looping through 5.2. Iter = 1138 


  iteration 1138; minNextMutationTime = 426.15; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 583



*** Looping through 5.2. Iter = 1139 


  iteration 1139; minNextMutationTime = 426.173; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 415



*** Looping through 5.2. Iter = 1140 


  iteration 1140; minNextMutationTime = 426.181; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 135



*** Looping through 5.2. Iter = 1141 


  iteration 1141; minNextMutationTime = 426.184; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 158



*** Looping through 5.2. Iter = 1142 


  iteration 1142; minNextMutationTime = 426.186; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 417



*** Looping through 5.2. Iter = 1143 


  iteration 1143; minNextMutationTime = 426.199; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 415



*** Looping through 5.2. Iter = 1144 


  iteration 1144; minNextMutationTime = 426.216; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 164



*** Looping through 5.2. Iter = 1145 


  iteration 1145; minNextMutationTime = 426.225; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 88



*** Looping through 5.2. Iter = 1146 


  iteration 1146; minNextMutationTime = 426.233; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 169



*** Looping through 5.2. Iter = 1147 


  iteration 1147; minNextMutationTime = 426.249; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 419



*** Looping through 5.2. Iter = 1148 


  iteration 1148; minNextMutationTime = 426.273; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 137



*** Looping through 5.2. Iter = 1149 


  iteration 1149; minNextMutationTime = 426.287; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 205



*** Looping through 5.2. Iter = 1150 


  iteration 1150; minNextMutationTime = 426.34; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 141



*** Looping through 5.2. Iter = 1151 


  iteration 1151; minNextMutationTime = 426.352; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 144



*** Looping through 5.2. Iter = 1152 


  iteration 1152; minNextMutationTime = 426.352; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 584



*** Looping through 5.2. Iter = 1153 


  iteration 1153; minNextMutationTime = 426.464; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 178



*** Looping through 5.2. Iter = 1154 


  iteration 1154; minNextMutationTime = 426.469; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 207



*** Looping through 5.2. Iter = 1155 


  iteration 1155; minNextMutationTime = 426.486; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 424



*** Looping through 5.2. Iter = 1156 


  iteration 1156; minNextMutationTime = 426.539; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 178



*** Looping through 5.2. Iter = 1157 


  iteration 1157; minNextMutationTime = 426.543; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 145



*** Looping through 5.2. Iter = 1158 


  iteration 1158; minNextMutationTime = 426.546; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 585



*** Looping through 5.2. Iter = 1159 


  iteration 1159; minNextMutationTime = 426.548; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 178



*** Looping through 5.2. Iter = 1160 


  iteration 1160; minNextMutationTime = 426.554; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 423



*** Looping through 5.2. Iter = 1161 


  iteration 1161; minNextMutationTime = 426.57; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 210



*** Looping through 5.2. Iter = 1162 


  iteration 1162; minNextMutationTime = 426.594; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 419



*** Looping through 5.2. Iter = 1163 


  iteration 1163; minNextMutationTime = 426.622; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 149



*** Looping through 5.2. Iter = 1164 


  iteration 1164; minNextMutationTime = 426.633; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 588



*** Looping through 5.2. Iter = 1165 


  iteration 1165; minNextMutationTime = 426.655; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 212



*** Looping through 5.2. Iter = 1166 


  iteration 1166; minNextMutationTime = 426.66; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 418



*** Looping through 5.2. Iter = 1167 


  iteration 1167; minNextMutationTime = 426.72; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 429



*** Looping through 5.2. Iter = 1168 


  iteration 1168; minNextMutationTime = 426.727; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 181



*** Looping through 5.2. Iter = 1169 


  iteration 1169; minNextMutationTime = 426.735; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 590



*** Looping through 5.2. Iter = 1170 


  iteration 1170; minNextMutationTime = 426.752; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 213



*** Looping through 5.2. Iter = 1171 


  iteration 1171; minNextMutationTime = 426.753; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 89



*** Looping through 5.2. Iter = 1172 


  iteration 1172; minNextMutationTime = 426.792; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 619



*** Looping through 5.2. Iter = 1173 


  iteration 1173; minNextMutationTime = 426.793; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 150



*** Looping through 5.2. Iter = 1174 


  iteration 1174; minNextMutationTime = 426.796; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 429



*** Looping through 5.2. Iter = 1175 


  iteration 1175; minNextMutationTime = 426.798; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 214



*** Looping through 5.2. Iter = 1176 


  iteration 1176; minNextMutationTime = 426.806; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 91



*** Looping through 5.2. Iter = 1177 


  iteration 1177; minNextMutationTime = 426.818; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 623



*** Looping through 5.2. Iter = 1178 


  iteration 1178; minNextMutationTime = 426.819; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 92



*** Looping through 5.2. Iter = 1179 


  iteration 1179; minNextMutationTime = 426.823; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 92



*** Looping through 5.2. Iter = 1180 


  iteration 1180; minNextMutationTime = 426.826; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 431



*** Looping through 5.2. Iter = 1181 


  iteration 1181; minNextMutationTime = 426.844; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 90



*** Looping through 5.2. Iter = 1182 


  iteration 1182; minNextMutationTime = 426.871; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 442



*** Looping through 5.2. Iter = 1183 


  iteration 1183; minNextMutationTime = 426.904; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 216



*** Looping through 5.2. Iter = 1184 


  iteration 1184; minNextMutationTime = 426.906; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 91



*** Looping through 5.2. Iter = 1185 


  iteration 1185; minNextMutationTime = 426.912; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 216



*** Looping through 5.2. Iter = 1186 


  iteration 1186; minNextMutationTime = 426.95; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 96



*** Looping through 5.2. Iter = 1187 


  iteration 1187; minNextMutationTime = 426.995; timeNextPopSample = 427; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 149



*** Looping through 5.2. Iter = 1188 


  iteration 1188; minNextMutationTime = 437; timeNextPopSample = 427; popParams.size() = 8

 We are SAMPLING at time 427



*** Looping through 5.2. Iter = 1189 


  iteration 1189; minNextMutationTime = 427; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 149



*** Looping through 5.2. Iter = 1190 


  iteration 1190; minNextMutationTime = 427.001; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 150



*** Looping through 5.2. Iter = 1191 


  iteration 1191; minNextMutationTime = 427.089; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 106



*** Looping through 5.2. Iter = 1192 


  iteration 1192; minNextMutationTime = 427.142; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 185



*** Looping through 5.2. Iter = 1193 


  iteration 1193; minNextMutationTime = 427.145; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 622



*** Looping through 5.2. Iter = 1194 


  iteration 1194; minNextMutationTime = 427.146; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 186



*** Looping through 5.2. Iter = 1195 


  iteration 1195; minNextMutationTime = 427.157; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 623



*** Looping through 5.2. Iter = 1196 


  iteration 1196; minNextMutationTime = 427.167; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 624



*** Looping through 5.2. Iter = 1197 


  iteration 1197; minNextMutationTime = 427.173; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 218



*** Looping through 5.2. Iter = 1198 


  iteration 1198; minNextMutationTime = 427.186; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 189



*** Looping through 5.2. Iter = 1199 


  iteration 1199; minNextMutationTime = 427.19; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 190



*** Looping through 5.2. Iter = 1200 


  iteration 1200; minNextMutationTime = 427.19; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 219



*** Looping through 5.2. Iter = 1201 


  iteration 1201; minNextMutationTime = 427.197; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 192



*** Looping through 5.2. Iter = 1202 


  iteration 1202; minNextMutationTime = 427.199; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 448



*** Looping through 5.2. Iter = 1203 


  iteration 1203; minNextMutationTime = 427.221; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 109



*** Looping through 5.2. Iter = 1204 


  iteration 1204; minNextMutationTime = 427.233; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 629



*** Looping through 5.2. Iter = 1205 


  iteration 1205; minNextMutationTime = 427.237; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 450



*** Looping through 5.2. Iter = 1206 


  iteration 1206; minNextMutationTime = 427.25; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 631



*** Looping through 5.2. Iter = 1207 


  iteration 1207; minNextMutationTime = 427.253; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 153



*** Looping through 5.2. Iter = 1208 


  iteration 1208; minNextMutationTime = 427.268; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 221



*** Looping through 5.2. Iter = 1209 


  iteration 1209; minNextMutationTime = 427.269; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 223



*** Looping through 5.2. Iter = 1210 


  iteration 1210; minNextMutationTime = 427.284; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 453



*** Looping through 5.2. Iter = 1211 


  iteration 1211; minNextMutationTime = 427.301; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 628



*** Looping through 5.2. Iter = 1212 


  iteration 1212; minNextMutationTime = 427.301; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 629



*** Looping through 5.2. Iter = 1213 


  iteration 1213; minNextMutationTime = 427.306; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 108



*** Looping through 5.2. Iter = 1214 


  iteration 1214; minNextMutationTime = 427.324; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 109



*** Looping through 5.2. Iter = 1215 


  iteration 1215; minNextMutationTime = 427.324; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 454



*** Looping through 5.2. Iter = 1216 


  iteration 1216; minNextMutationTime = 427.324; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 110



*** Looping through 5.2. Iter = 1217 


  iteration 1217; minNextMutationTime = 427.337; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 110



*** Looping through 5.2. Iter = 1218 


  iteration 1218; minNextMutationTime = 427.338; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 193



*** Looping through 5.2. Iter = 1219 


  iteration 1219; minNextMutationTime = 427.348; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 152



*** Looping through 5.2. Iter = 1220 


  iteration 1220; minNextMutationTime = 427.361; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 152



*** Looping through 5.2. Iter = 1221 


  iteration 1221; minNextMutationTime = 427.369; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 111



*** Looping through 5.2. Iter = 1222 


  iteration 1222; minNextMutationTime = 427.433; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 156



*** Looping through 5.2. Iter = 1223 


  iteration 1223; minNextMutationTime = 427.469; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 644



*** Looping through 5.2. Iter = 1224 


  iteration 1224; minNextMutationTime = 427.47; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 112



*** Looping through 5.2. Iter = 1225 


  iteration 1225; minNextMutationTime = 427.473; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 194



*** Looping through 5.2. Iter = 1226 


  iteration 1226; minNextMutationTime = 427.502; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 113



*** Looping through 5.2. Iter = 1227 


  iteration 1227; minNextMutationTime = 427.505; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 196



*** Looping through 5.2. Iter = 1228 


  iteration 1228; minNextMutationTime = 427.506; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 225



*** Looping through 5.2. Iter = 1229 


  iteration 1229; minNextMutationTime = 427.531; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 164



*** Looping through 5.2. Iter = 1230 


  iteration 1230; minNextMutationTime = 427.564; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 117



*** Looping through 5.2. Iter = 1231 


  iteration 1231; minNextMutationTime = 427.598; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 228



*** Looping through 5.2. Iter = 1232 


  iteration 1232; minNextMutationTime = 427.609; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 231



*** Looping through 5.2. Iter = 1233 


  iteration 1233; minNextMutationTime = 427.626; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 163



*** Looping through 5.2. Iter = 1234 


  iteration 1234; minNextMutationTime = 427.638; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 165



*** Looping through 5.2. Iter = 1235 


  iteration 1235; minNextMutationTime = 427.66; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 116



*** Looping through 5.2. Iter = 1236 


  iteration 1236; minNextMutationTime = 427.662; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 196



*** Looping through 5.2. Iter = 1237 


  iteration 1237; minNextMutationTime = 427.691; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 224



*** Looping through 5.2. Iter = 1238 


  iteration 1238; minNextMutationTime = 427.715; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 461



*** Looping through 5.2. Iter = 1239 


  iteration 1239; minNextMutationTime = 427.718; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 117



*** Looping through 5.2. Iter = 1240 


  iteration 1240; minNextMutationTime = 427.724; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 645



*** Looping through 5.2. Iter = 1241 


  iteration 1241; minNextMutationTime = 427.727; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 647



*** Looping through 5.2. Iter = 1242 


  iteration 1242; minNextMutationTime = 427.75; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 119



*** Looping through 5.2. Iter = 1243 


  iteration 1243; minNextMutationTime = 427.751; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 120



*** Looping through 5.2. Iter = 1244 


  iteration 1244; minNextMutationTime = 427.781; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 122



*** Looping through 5.2. Iter = 1245 


  iteration 1245; minNextMutationTime = 427.794; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 462



*** Looping through 5.2. Iter = 1246 


  iteration 1246; minNextMutationTime = 427.823; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 220



*** Looping through 5.2. Iter = 1247 


  iteration 1247; minNextMutationTime = 427.841; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 196



*** Looping through 5.2. Iter = 1248 


  iteration 1248; minNextMutationTime = 427.855; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 223



*** Looping through 5.2. Iter = 1249 


  iteration 1249; minNextMutationTime = 427.856; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 198



*** Looping through 5.2. Iter = 1250 


  iteration 1250; minNextMutationTime = 427.871; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 223



*** Looping through 5.2. Iter = 1251 


  iteration 1251; minNextMutationTime = 427.88; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 123



*** Looping through 5.2. Iter = 1252 


  iteration 1252; minNextMutationTime = 427.882; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 224



*** Looping through 5.2. Iter = 1253 


  iteration 1253; minNextMutationTime = 427.915; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 163



*** Looping through 5.2. Iter = 1254 


  iteration 1254; minNextMutationTime = 427.915; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 463



*** Looping through 5.2. Iter = 1255 


  iteration 1255; minNextMutationTime = 427.917; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 124



*** Looping through 5.2. Iter = 1256 


  iteration 1256; minNextMutationTime = 427.94; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 201



*** Looping through 5.2. Iter = 1257 


  iteration 1257; minNextMutationTime = 427.95; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 225



*** Looping through 5.2. Iter = 1258 


  iteration 1258; minNextMutationTime = 427.989; timeNextPopSample = 428; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 468



*** Looping through 5.2. Iter = 1259 


  iteration 1259; minNextMutationTime = 438; timeNextPopSample = 428; popParams.size() = 8

 We are SAMPLING at time 428



*** Looping through 5.2. Iter = 1260 


  iteration 1260; minNextMutationTime = 428.003; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 655



*** Looping through 5.2. Iter = 1261 


  iteration 1261; minNextMutationTime = 428.004; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 470



*** Looping through 5.2. Iter = 1262 


  iteration 1262; minNextMutationTime = 428.014; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 224



*** Looping through 5.2. Iter = 1263 


  iteration 1263; minNextMutationTime = 428.02; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 661



*** Looping through 5.2. Iter = 1264 


  iteration 1264; minNextMutationTime = 428.026; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 227



*** Looping through 5.2. Iter = 1265 


  iteration 1265; minNextMutationTime = 428.031; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 479



*** Looping through 5.2. Iter = 1266 


  iteration 1266; minNextMutationTime = 428.039; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 663



*** Looping through 5.2. Iter = 1267 


  iteration 1267; minNextMutationTime = 428.074; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 127



*** Looping through 5.2. Iter = 1268 


  iteration 1268; minNextMutationTime = 428.087; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 474



*** Looping through 5.2. Iter = 1269 


  iteration 1269; minNextMutationTime = 428.097; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 168



*** Looping through 5.2. Iter = 1270 


  iteration 1270; minNextMutationTime = 428.099; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 475



*** Looping through 5.2. Iter = 1271 


  iteration 1271; minNextMutationTime = 428.106; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 172



*** Looping through 5.2. Iter = 1272 


  iteration 1272; minNextMutationTime = 428.124; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 177



*** Looping through 5.2. Iter = 1273 


  iteration 1273; minNextMutationTime = 428.133; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 129



*** Looping through 5.2. Iter = 1274 


  iteration 1274; minNextMutationTime = 428.142; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 131



*** Looping through 5.2. Iter = 1275 


  iteration 1275; minNextMutationTime = 428.162; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 479



*** Looping through 5.2. Iter = 1276 


  iteration 1276; minNextMutationTime = 428.171; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 130



*** Looping through 5.2. Iter = 1277 


  iteration 1277; minNextMutationTime = 428.197; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 130



*** Looping through 5.2. Iter = 1278 


  iteration 1278; minNextMutationTime = 428.202; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 204



*** Looping through 5.2. Iter = 1279 


  iteration 1279; minNextMutationTime = 428.204; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 205



*** Looping through 5.2. Iter = 1280 


  iteration 1280; minNextMutationTime = 428.274; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 231



*** Looping through 5.2. Iter = 1281 


  iteration 1281; minNextMutationTime = 428.302; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 134



*** Looping through 5.2. Iter = 1282 


  iteration 1282; minNextMutationTime = 428.329; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 674



*** Looping through 5.2. Iter = 1283 


  iteration 1283; minNextMutationTime = 428.334; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 135



*** Looping through 5.2. Iter = 1284 


  iteration 1284; minNextMutationTime = 428.335; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 480



*** Looping through 5.2. Iter = 1285 


  iteration 1285; minNextMutationTime = 428.337; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 480



*** Looping through 5.2. Iter = 1286 


  iteration 1286; minNextMutationTime = 428.351; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 178



*** Looping through 5.2. Iter = 1287 


  iteration 1287; minNextMutationTime = 428.397; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 140



*** Looping through 5.2. Iter = 1288 


  iteration 1288; minNextMutationTime = 428.401; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 234



*** Looping through 5.2. Iter = 1289 


  iteration 1289; minNextMutationTime = 428.404; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 482



*** Looping through 5.2. Iter = 1290 


  iteration 1290; minNextMutationTime = 428.412; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 142



*** Looping through 5.2. Iter = 1291 


  iteration 1291; minNextMutationTime = 428.413; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 676



*** Looping through 5.2. Iter = 1292 


  iteration 1292; minNextMutationTime = 428.429; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 186



*** Looping through 5.2. Iter = 1293 


  iteration 1293; minNextMutationTime = 428.429; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 206



*** Looping through 5.2. Iter = 1294 


  iteration 1294; minNextMutationTime = 428.431; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 234



*** Looping through 5.2. Iter = 1295 


  iteration 1295; minNextMutationTime = 428.44; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 142



*** Looping through 5.2. Iter = 1296 


  iteration 1296; minNextMutationTime = 428.443; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 208



*** Looping through 5.2. Iter = 1297 


  iteration 1297; minNextMutationTime = 428.474; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 237



*** Looping through 5.2. Iter = 1298 


  iteration 1298; minNextMutationTime = 428.477; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 214



*** Looping through 5.2. Iter = 1299 


  iteration 1299; minNextMutationTime = 428.49; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 673



*** Looping through 5.2. Iter = 1300 


  iteration 1300; minNextMutationTime = 428.492; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 482



*** Looping through 5.2. Iter = 1301 


  iteration 1301; minNextMutationTime = 428.531; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 213



*** Looping through 5.2. Iter = 1302 


  iteration 1302; minNextMutationTime = 428.533; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 143



*** Looping through 5.2. Iter = 1303 


  iteration 1303; minNextMutationTime = 428.537; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 484



*** Looping through 5.2. Iter = 1304 


  iteration 1304; minNextMutationTime = 428.543; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 141



*** Looping through 5.2. Iter = 1305 


  iteration 1305; minNextMutationTime = 428.547; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 488



*** Looping through 5.2. Iter = 1306 


  iteration 1306; minNextMutationTime = 428.548; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 186



*** Looping through 5.2. Iter = 1307 


  iteration 1307; minNextMutationTime = 428.552; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 490



*** Looping through 5.2. Iter = 1308 


  iteration 1308; minNextMutationTime = 428.556; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 213



*** Looping through 5.2. Iter = 1309 


  iteration 1309; minNextMutationTime = 428.56; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 672



*** Looping through 5.2. Iter = 1310 


  iteration 1310; minNextMutationTime = 428.578; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 216



*** Looping through 5.2. Iter = 1311 


  iteration 1311; minNextMutationTime = 428.58; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 217



*** Looping through 5.2. Iter = 1312 


  iteration 1312; minNextMutationTime = 428.596; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 237



*** Looping through 5.2. Iter = 1313 


  iteration 1313; minNextMutationTime = 428.598; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 187



*** Looping through 5.2. Iter = 1314 


  iteration 1314; minNextMutationTime = 428.625; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 239



*** Looping through 5.2. Iter = 1315 


  iteration 1315; minNextMutationTime = 428.634; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 186



*** Looping through 5.2. Iter = 1316 


  iteration 1316; minNextMutationTime = 428.646; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 218



*** Looping through 5.2. Iter = 1317 


  iteration 1317; minNextMutationTime = 428.652; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 671



*** Looping through 5.2. Iter = 1318 


  iteration 1318; minNextMutationTime = 428.661; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 216



*** Looping through 5.2. Iter = 1319 


  iteration 1319; minNextMutationTime = 428.662; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 142



*** Looping through 5.2. Iter = 1320 


  iteration 1320; minNextMutationTime = 428.664; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 143



*** Looping through 5.2. Iter = 1321 


  iteration 1321; minNextMutationTime = 428.669; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 190



*** Looping through 5.2. Iter = 1322 


  iteration 1322; minNextMutationTime = 428.672; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 193



*** Looping through 5.2. Iter = 1323 


  iteration 1323; minNextMutationTime = 428.676; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 240



*** Looping through 5.2. Iter = 1324 


  iteration 1324; minNextMutationTime = 428.677; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 673



*** Looping through 5.2. Iter = 1325 


  iteration 1325; minNextMutationTime = 428.68; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 241



*** Looping through 5.2. Iter = 1326 


  iteration 1326; minNextMutationTime = 428.699; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 489



*** Looping through 5.2. Iter = 1327 


  iteration 1327; minNextMutationTime = 428.701; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 491



*** Looping through 5.2. Iter = 1328 


  iteration 1328; minNextMutationTime = 428.705; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 243



*** Looping through 5.2. Iter = 1329 


  iteration 1329; minNextMutationTime = 428.726; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 493



*** Looping through 5.2. Iter = 1330 


  iteration 1330; minNextMutationTime = 428.731; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 194



*** Looping through 5.2. Iter = 1331 


  iteration 1331; minNextMutationTime = 428.737; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 144



*** Looping through 5.2. Iter = 1332 


  iteration 1332; minNextMutationTime = 428.776; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 660



*** Looping through 5.2. Iter = 1333 


  iteration 1333; minNextMutationTime = 428.778; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 244



*** Looping through 5.2. Iter = 1334 


  iteration 1334; minNextMutationTime = 428.782; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 195



*** Looping through 5.2. Iter = 1335 


  iteration 1335; minNextMutationTime = 428.793; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 219



*** Looping through 5.2. Iter = 1336 


  iteration 1336; minNextMutationTime = 428.801; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 196



*** Looping through 5.2. Iter = 1337 


  iteration 1337; minNextMutationTime = 428.804; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 245



*** Looping through 5.2. Iter = 1338 


  iteration 1338; minNextMutationTime = 428.804; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 494



*** Looping through 5.2. Iter = 1339 


  iteration 1339; minNextMutationTime = 428.827; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 256



*** Looping through 5.2. Iter = 1340 


  iteration 1340; minNextMutationTime = 428.828; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 255



*** Looping through 5.2. Iter = 1341 


  iteration 1341; minNextMutationTime = 428.833; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 198



*** Looping through 5.2. Iter = 1342 


  iteration 1342; minNextMutationTime = 428.834; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 199



*** Looping through 5.2. Iter = 1343 


  iteration 1343; minNextMutationTime = 428.842; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 144



*** Looping through 5.2. Iter = 1344 


  iteration 1344; minNextMutationTime = 428.846; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 199



*** Looping through 5.2. Iter = 1345 


  iteration 1345; minNextMutationTime = 428.862; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 221



*** Looping through 5.2. Iter = 1346 


  iteration 1346; minNextMutationTime = 428.867; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 224



*** Looping through 5.2. Iter = 1347 


  iteration 1347; minNextMutationTime = 428.901; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 254



*** Looping through 5.2. Iter = 1348 


  iteration 1348; minNextMutationTime = 428.904; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 256



*** Looping through 5.2. Iter = 1349 


  iteration 1349; minNextMutationTime = 428.931; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 260



*** Looping through 5.2. Iter = 1350 


  iteration 1350; minNextMutationTime = 428.945; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 230



*** Looping through 5.2. Iter = 1351 


  iteration 1351; minNextMutationTime = 428.967; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 498



*** Looping through 5.2. Iter = 1352 


  iteration 1352; minNextMutationTime = 428.979; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 260



*** Looping through 5.2. Iter = 1353 


  iteration 1353; minNextMutationTime = 428.989; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 200



*** Looping through 5.2. Iter = 1354 


  iteration 1354; minNextMutationTime = 428.989; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 145



*** Looping through 5.2. Iter = 1355 


  iteration 1355; minNextMutationTime = 428.993; timeNextPopSample = 429; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 262



*** Looping through 5.2. Iter = 1356 


  iteration 1356; minNextMutationTime = 439; timeNextPopSample = 429; popParams.size() = 8

 We are SAMPLING at time 429



*** Looping through 5.2. Iter = 1357 


  iteration 1357; minNextMutationTime = 429.01; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 150



*** Looping through 5.2. Iter = 1358 


  iteration 1358; minNextMutationTime = 429.014; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 230



*** Looping through 5.2. Iter = 1359 


  iteration 1359; minNextMutationTime = 429.034; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 201



*** Looping through 5.2. Iter = 1360 


  iteration 1360; minNextMutationTime = 429.041; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 228



*** Looping through 5.2. Iter = 1361 


  iteration 1361; minNextMutationTime = 429.045; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 505



*** Looping through 5.2. Iter = 1362 


  iteration 1362; minNextMutationTime = 429.059; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 264



*** Looping through 5.2. Iter = 1363 


  iteration 1363; minNextMutationTime = 429.084; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 227



*** Looping through 5.2. Iter = 1364 


  iteration 1364; minNextMutationTime = 429.139; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 260



*** Looping through 5.2. Iter = 1365 


  iteration 1365; minNextMutationTime = 429.139; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 151



*** Looping through 5.2. Iter = 1366 


  iteration 1366; minNextMutationTime = 429.141; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 153



*** Looping through 5.2. Iter = 1367 


  iteration 1367; minNextMutationTime = 429.167; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 509



*** Looping through 5.2. Iter = 1368 


  iteration 1368; minNextMutationTime = 429.169; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 228



*** Looping through 5.2. Iter = 1369 


  iteration 1369; minNextMutationTime = 429.184; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 154



*** Looping through 5.2. Iter = 1370 


  iteration 1370; minNextMutationTime = 429.241; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 151



*** Looping through 5.2. Iter = 1371 


  iteration 1371; minNextMutationTime = 429.242; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 151



*** Looping through 5.2. Iter = 1372 


  iteration 1372; minNextMutationTime = 429.261; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 663



*** Looping through 5.2. Iter = 1373 


  iteration 1373; minNextMutationTime = 429.263; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 228



*** Looping through 5.2. Iter = 1374 


  iteration 1374; minNextMutationTime = 429.287; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 521



*** Looping through 5.2. Iter = 1375 


  iteration 1375; minNextMutationTime = 429.29; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 230



*** Looping through 5.2. Iter = 1376 


  iteration 1376; minNextMutationTime = 429.3; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 150



*** Looping through 5.2. Iter = 1377 


  iteration 1377; minNextMutationTime = 429.31; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 664



*** Looping through 5.2. Iter = 1378 


  iteration 1378; minNextMutationTime = 429.314; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 203



*** Looping through 5.2. Iter = 1379 


  iteration 1379; minNextMutationTime = 429.338; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 152



*** Looping through 5.2. Iter = 1380 


  iteration 1380; minNextMutationTime = 429.362; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 158



*** Looping through 5.2. Iter = 1381 


  iteration 1381; minNextMutationTime = 429.363; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 204



*** Looping through 5.2. Iter = 1382 


  iteration 1382; minNextMutationTime = 429.368; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 230



*** Looping through 5.2. Iter = 1383 


  iteration 1383; minNextMutationTime = 429.372; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 523



*** Looping through 5.2. Iter = 1384 


  iteration 1384; minNextMutationTime = 429.375; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 527



*** Looping through 5.2. Iter = 1385 


  iteration 1385; minNextMutationTime = 429.378; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 231



*** Looping through 5.2. Iter = 1386 


  iteration 1386; minNextMutationTime = 429.414; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 266



*** Looping through 5.2. Iter = 1387 


  iteration 1387; minNextMutationTime = 429.416; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 159



*** Looping through 5.2. Iter = 1388 


  iteration 1388; minNextMutationTime = 429.422; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 155



*** Looping through 5.2. Iter = 1389 


  iteration 1389; minNextMutationTime = 429.431; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 668



*** Looping through 5.2. Iter = 1390 


  iteration 1390; minNextMutationTime = 429.432; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 232



*** Looping through 5.2. Iter = 1391 


  iteration 1391; minNextMutationTime = 429.442; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 266



*** Looping through 5.2. Iter = 1392 


  iteration 1392; minNextMutationTime = 429.461; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 239



*** Looping through 5.2. Iter = 1393 


  iteration 1393; minNextMutationTime = 429.467; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 271



*** Looping through 5.2. Iter = 1394 


  iteration 1394; minNextMutationTime = 429.495; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 151



*** Looping through 5.2. Iter = 1395 


  iteration 1395; minNextMutationTime = 429.509; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 272



*** Looping through 5.2. Iter = 1396 


  iteration 1396; minNextMutationTime = 429.514; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 531



*** Looping through 5.2. Iter = 1397 


  iteration 1397; minNextMutationTime = 429.555; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 673



*** Looping through 5.2. Iter = 1398 


  iteration 1398; minNextMutationTime = 429.556; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 274



*** Looping through 5.2. Iter = 1399 


  iteration 1399; minNextMutationTime = 429.586; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 537



*** Looping through 5.2. Iter = 1400 


  iteration 1400; minNextMutationTime = 429.595; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 206



*** Looping through 5.2. Iter = 1401 


  iteration 1401; minNextMutationTime = 429.606; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 210



*** Looping through 5.2. Iter = 1402 


  iteration 1402; minNextMutationTime = 429.631; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 273



*** Looping through 5.2. Iter = 1403 


  iteration 1403; minNextMutationTime = 429.637; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 273



*** Looping through 5.2. Iter = 1404 


  iteration 1404; minNextMutationTime = 429.654; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 213



*** Looping through 5.2. Iter = 1405 


  iteration 1405; minNextMutationTime = 429.66; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 541



*** Looping through 5.2. Iter = 1406 


  iteration 1406; minNextMutationTime = 429.664; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 676



*** Looping through 5.2. Iter = 1407 


  iteration 1407; minNextMutationTime = 429.668; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 214



*** Looping through 5.2. Iter = 1408 


  iteration 1408; minNextMutationTime = 429.677; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 215



*** Looping through 5.2. Iter = 1409 


  iteration 1409; minNextMutationTime = 429.683; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 217



*** Looping through 5.2. Iter = 1410 


  iteration 1410; minNextMutationTime = 429.699; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 277



*** Looping through 5.2. Iter = 1411 


  iteration 1411; minNextMutationTime = 429.712; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 543



*** Looping through 5.2. Iter = 1412 


  iteration 1412; minNextMutationTime = 429.719; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 678



*** Looping through 5.2. Iter = 1413 


  iteration 1413; minNextMutationTime = 429.722; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 681



*** Looping through 5.2. Iter = 1414 


  iteration 1414; minNextMutationTime = 429.729; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 223



*** Looping through 5.2. Iter = 1415 


  iteration 1415; minNextMutationTime = 429.73; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 684



*** Looping through 5.2. Iter = 1416 


  iteration 1416; minNextMutationTime = 429.735; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 278



*** Looping through 5.2. Iter = 1417 


  iteration 1417; minNextMutationTime = 429.762; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 157



*** Looping through 5.2. Iter = 1418 


  iteration 1418; minNextMutationTime = 429.773; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 686



*** Looping through 5.2. Iter = 1419 


  iteration 1419; minNextMutationTime = 429.785; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 223



*** Looping through 5.2. Iter = 1420 


  iteration 1420; minNextMutationTime = 429.785; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 279



*** Looping through 5.2. Iter = 1421 


  iteration 1421; minNextMutationTime = 429.794; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 243



*** Looping through 5.2. Iter = 1422 


  iteration 1422; minNextMutationTime = 429.797; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 692



*** Looping through 5.2. Iter = 1423 


  iteration 1423; minNextMutationTime = 429.816; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 246



*** Looping through 5.2. Iter = 1424 


  iteration 1424; minNextMutationTime = 429.821; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 282



*** Looping through 5.2. Iter = 1425 


  iteration 1425; minNextMutationTime = 429.827; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 543



*** Looping through 5.2. Iter = 1426 


  iteration 1426; minNextMutationTime = 429.842; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 247



*** Looping through 5.2. Iter = 1427 


  iteration 1427; minNextMutationTime = 429.848; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 226



*** Looping through 5.2. Iter = 1428 


  iteration 1428; minNextMutationTime = 429.855; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 693



*** Looping through 5.2. Iter = 1429 


  iteration 1429; minNextMutationTime = 429.857; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 248



*** Looping through 5.2. Iter = 1430 


  iteration 1430; minNextMutationTime = 429.871; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 287



*** Looping through 5.2. Iter = 1431 


  iteration 1431; minNextMutationTime = 429.873; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 288



*** Looping through 5.2. Iter = 1432 


  iteration 1432; minNextMutationTime = 429.882; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 291



*** Looping through 5.2. Iter = 1433 


  iteration 1433; minNextMutationTime = 429.9; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 547



*** Looping through 5.2. Iter = 1434 


  iteration 1434; minNextMutationTime = 429.92; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 6 (Genotype = 0000000000000000000000000000000000000000000000000000000000001001; sp_id = 9)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 9)
 New popSize = 294



*** Looping through 5.2. Iter = 1435 


  iteration 1435; minNextMutationTime = 429.924; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 250



*** Looping through 5.2. Iter = 1436 


  iteration 1436; minNextMutationTime = 429.936; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 553



*** Looping through 5.2. Iter = 1437 


  iteration 1437; minNextMutationTime = 429.937; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 4 (Genotype = 0000000000000000000000000000000000000000000000000000000000100001; sp_id = 33)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 33)
 New popSize = 158



*** Looping through 5.2. Iter = 1438 


  iteration 1438; minNextMutationTime = 429.944; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 7 (Genotype = 0000000000000000000000000000000000000000000000000000000001000001; sp_id = 65)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 65)
 New popSize = 229



*** Looping through 5.2. Iter = 1439 


  iteration 1439; minNextMutationTime = 429.959; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 3 (Genotype = 0000000000000000000000000000000000000000000000000000000000000101; sp_id = 5)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 5)
 New popSize = 555



*** Looping through 5.2. Iter = 1440 


  iteration 1440; minNextMutationTime = 429.968; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 248



*** Looping through 5.2. Iter = 1441 


  iteration 1441; minNextMutationTime = 429.976; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 2 (Genotype = 0000000000000000000000000000000000000000000000000000000000010001; sp_id = 17)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 17)
 New popSize = 695



*** Looping through 5.2. Iter = 1442 


  iteration 1442; minNextMutationTime = 429.983; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 252



*** Looping through 5.2. Iter = 1443 


  iteration 1443; minNextMutationTime = 429.988; timeNextPopSample = 430; popParams.size() = 8

     Mutated to existing species 5 (Genotype = 0000000000000000000000000000000000000000000000000000000000000011; sp_id = 3)
 from species 1 (Genotypes = 0000000000000000000000000000000000000000000000000000000000000001; sp_id = 3)
 New popSize = 255



*** Looping through 5.2. Iter = 1444 


  iteration 1444; minNextMutationTime = 440; timeNextPopSample = 430; popParams.size() = 8

 We are SAMPLING at time 430

 ... finished this run:
       Total Pop Size =  15204520
       Drivers Last =  2
       Final Time =  430 

 Starting sample-only-last tests Thu Apr 12 07:18:15 2018 

   Seed =  390   bozic bozic9 . Poset =  p1101 

   Seed =  390   Exp Exp9 . Poset =  p1101 

   Seed =  390   mc mc9 . Poset =  p1101 

   Seed =  709   bozic bozic9 . Poset =  p901 

   Seed =  709   Exp Exp9 . Poset =  p901 

   Seed =  709   mc mc9 . Poset =  p901 

   Seed =  6490   bozic bozic9 . Poset =  p701 

   Seed =  6490   Exp Exp9 . Poset =  p701 

   Seed =  6490   mc mc9 . Poset =  p701 

 Ending sample-only-last tests Thu Apr 12 07:18:42 2018 

 Starting total-present-drivers tests Thu Apr 12 07:18:42 2018 

 Ending total-present-drivers tests Thu Apr 12 07:18:44 2018 

 Starting all fitness at Thu Apr 12 07:18:47 2018Genotype:  d1 , d2, f3
 Individual s terms are : 0.4
 Fitness:  1.4 
Genotype:  f3 , d1 , d2
 Individual s terms are : -0.3
 Fitness:  0.7 
Genotype:  f3 , d1 , d2
 Individual s terms are : -0.3
 Death rate:  1.3 

 DEBUG2: Value of rnb = nan

 DEBUG2: Value of m = 1

 DEBUG2: Value of pe = 0

 DEBUG2: Value of pm = 0.999999

 this is spP

 popSize = 1
 birth = 1
 death = 0
 W = 1
 R = 1
 mutation = 1e-06
 timeLastUpdate = 887.101
 absfitness = -inf
 numMutablePos =1

 Unrecoverable exception: Algo 2: retval not finite. Aborting. 

 DEBUG2: Value of rnb = nan

 DEBUG2: Value of m = 1

 DEBUG2: Value of pe = 0

 DEBUG2: Value of pm = 0.999997

 this is spP

 popSize = 1
 birth = 1
 death = 0
 W = 1
 R = 1
 mutation = 4e-06
 timeLastUpdate = 142.416
 absfitness = -inf
 numMutablePos =4

 Unrecoverable exception: Algo 2: retval not finite. Aborting. 

 Ending all-fitness at Thu Apr 12 07:18:53 2018
 Starting driverCounts at Thu Apr 12 07:18:53 2018
 doing iteration 1 

 doing iteration 2 

 doing iteration 3 

 doing iteration 4 

 doing iteration 5 

 doing iteration 6 

 doing iteration 7 

 doing iteration 8 

 doing iteration 9 

 doing iteration 10 

 doing iteration 11 

 doing iteration 12 

 doing iteration 13 

 doing iteration 14 

 doing iteration 15 

 doing iteration 16 

 doing iteration 17 

 doing iteration 18 

 doing iteration 19 

 doing iteration 20 

 doing iteration 21 

 doing iteration 22 

 doing iteration 23 

 doing iteration 24 

 doing iteration 25 

 doing iteration 26 

 doing iteration 27 

 doing iteration 28 

 doing iteration 29 

 doing iteration 30 

 doing iteration 31 

 doing iteration 32 

 doing iteration 33 

 doing iteration 34 

 doing iteration 35 

 doing iteration 36 

 doing iteration 37 

 doing iteration 38 

 doing iteration 39 

 doing iteration 40 

 doing iteration 41 

 doing iteration 42 

 doing iteration 43 

 doing iteration 44 

 doing iteration 45 

 doing iteration 46 

 doing iteration 47 

 doing iteration 48 

 doing iteration 49 

 doing iteration 50 

 doing iteration 51 

 doing iteration 52 

 doing iteration 53 

 doing iteration 54 

 doing iteration 55 

 doing iteration 56 

 doing iteration 57 

 doing iteration 58 

 doing iteration 59 

 doing iteration 60 

 doing iteration 61 

 doing iteration 62 

 doing iteration 63 

 doing iteration 64 

 doing iteration 65 

 doing iteration 66 

 doing iteration 67 

 doing iteration 68 

 doing iteration 69 

 doing iteration 70 

 doing iteration 71 

 doing iteration 72 

 doing iteration 73 

 doing iteration 74 

 doing iteration 75 

 doing iteration 76 

 doing iteration 77 

 doing iteration 78 

 doing iteration 79 

 doing iteration 80 

 doing iteration 81 

 doing iteration 82 

 doing iteration 83 

 doing iteration 84 

 doing iteration 85 

 doing iteration 86 

 doing iteration 87 

 doing iteration 88 

 doing iteration 89 

 doing iteration 90 

 doing iteration 91 

 doing iteration 92 

 doing iteration 93 

 doing iteration 94 

 doing iteration 95 

 doing iteration 96 

 doing iteration 97 

 doing iteration 98 

 doing iteration 99 

 doing iteration 100 

 Ending driverCounts at Thu Apr 12 07:19:12 2018 

 Starting epist-order-modules at Thu Apr 12 07:19:12 2018
 Ending epist-order-modules at Thu Apr 12 07:19:12 2018
 Starting exercise-plotting-code at Thu Apr 12 07:19:12 2018
 Ending exercise-plotting-code at Thu Apr 12 07:19:25 2018
 Starting fitness preds at Thu Apr 12 07:19:25 2018 

 Observed vs expected, case III

 done tries 1 

 Ending fitness preds long at Thu Apr 12 07:19:40 2018 

 Starting fixation  at Thu Apr 12 07:19:40 2018 

 Ending fixation  at Thu Apr 12 07:20:01 2018 

 Starting init-mutant tests Thu Apr 12 07:20:01 2018 

 done tries 1 

 done tries 1 

 done tries 1 

 Ending init-mutant tests Thu Apr 12 07:20:05 2018 

 Starting at mutPropGrowth  Thu Apr 12 07:20:05 2018 

 Thu Apr 12 07:20:05 2018 

 mcf1: a runif is 0.6700361 

 mcf1a: a runif is 0.2239393 

 mcf1c: a runif is 0.05217014 

 done tries 1 

 Thu Apr 12 07:20:06 2018 

 mcf1_ontime: a runif is 0.6615206 

 mcf1a: a runif is 0.3629905 

 mcf1c: a runif is 0.008009839 

 done tries 1 

 Thu Apr 12 07:20:09 2018 

 oss1: a runif is 0.08846958 

 oss1a: a runif is 0.8078041 

 oss1c: a runif is 0.8914545 

 done tries 1 

 oss1_ontime: a runif is 0.2330735 

 oss1a: a runif is 0.2633773 

 oss1c: a runif is 0.2325489 

 done tries 1 

 ossmcf1: a runif is 0.1534651 

 ossmcf1a: a runif is 0.3277486 

 ossmcf1c: a runif is 0.5734838 

 done tries 1 

 ossmcf1: a runif is 0.03028492 

 ossmcf1a: a runif is 0.2968524 

 ossmcf1c: a runif is 0.07168582 

 done tries 1 

 DEBUG2: Value of spP.death = 1

 DEBUG2: Value of spP.birth = 0

 DEBUG2: Value of pM = 1

 DEBUG2: Value of spP.W = 1

 DEBUG2: Value of spP.mutation = 0

 Unrecoverable exception: pE.f: pE not finite.
      This is expected to happen when mutationPropGrowth = TRUE 
      and you have have an initMutant with death >> birth,
      as that inevitably leads to net birth rate of 0
      and mutation rate of 0. Aborting. 

 Ended test.mutPropGrowth:  Thu Apr 12 07:20:20 2018 

 Starting test.mutator-oncoSimulSample.R test at Thu Apr 12 07:20:20 2018 

 MCFL: AEu8: a runif is 0.1656492 
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.

 done tries 1 

 mcx2bc: a runif is 0.3895882 

 done tries 1 

 x2ef: a runif is 0.3350249 

 done tries 1 

 x2gh: a runif is 0.8824237 

 done tries 1 

 nm2: a runif is 0.4095887 

 done tries 1 

 mcz2: a runif is 0.9679107 

 done tries 1 

 Finished test.mutator-oncoSimulSample.R test at Thu Apr 12 07:20:31 2018 

 Starting test.mutator.R test at Thu Apr 12 07:20:31 2018
 Individual s terms are :

 x2gh: a runif is 0.5677305 

 done tries 1 

 u6: a runif is 0.09463943 

 done tries 1 

 mcfu6: a runif is 0.1693591 

 done tries 1 

 nm2: a runif is 0.2625567 

 done tries 1 

 nm3: a runif is 0.4612555 

 done tries 1 

 mcfl_z2: a runif is 0.4160041 

 done tries 1 

 mmdSM1: a runif is 0.6514915 
[1] 3.582661e-10
[1] 7.903083e-12

 done tries  1 

 mmpg_mcfl: a runif is 0.2804001 

 done tries 1 

 Finished test.mutator.R test at Thu Apr 12 07:20:56 2018 

 Starting oncoSimulIndiv-miscell tests Thu Apr 12 07:20:56 2018 
......  Done individual  1 . Used  1 attempts. . Running for  0.002680063  secs.
......  Done individual  2 . Used  2 attempts. . Running for  0.006023884  secs.
......  Done individual  1 . Used  1 attempts. . Running for  0.002475023  secs.
......  Done individual  2 . Used  2 attempts. . Running for  0.005033016  secs.

 Hitted maxtries. Exiting.
 Hitting max tries is regarded as an error. 

 Hitted maxtries. Exiting.
 Hitting max tries is regarded as an error. 

 Hitted maxtries. Exiting.
 Hitting max tries is regarded as an error. 

 Hitted maxtries. Exiting.
 Hitting max tries is regarded as an error. 

 Hitted maxtries. Exiting.
 Hitting max tries is regarded as an error. 

 Hitted wall time. Exiting.
 Hitting wall time is regarded as an error. 

 Hitted wall time. Exiting.
 Hitting wall time is regarded as an error. 

 Hitted maxtries. Exiting.
 Hitting max tries is regarded as an error. 

 Hitted maxtries. Exiting.
 Hitting max tries is regarded as an error. 

 Hitted maxtries. Exiting.
 Hitting max tries is regarded as an error. 

 Hitted maxtries. Exiting.
 Hitting max tries is regarded as an error. 

 Ending oncoSimulIndiv-miscell tests Thu Apr 12 07:21:08 2018 

 Starting oncoSimulSample-failures tests Thu Apr 12 07:21:08 2018 

 Hitted maxtries. Exiting.
 Hitting max tries is regarded as an error. 

 Hitted maxtries. Exiting.
 Hitting max tries is regarded as an error. 

 Hitted wall time. Exiting.
 Hitting wall time is regarded as an error. 
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 0. There can be numerical problems later.

 Entered Algo2 with mutation rate = 0

 Unrecoverable exception: mutation = 0 with numMutable != 0?. Aborting. 

 Ending oncoSimulSample-failures tests Thu Apr 12 07:21:13 2018 

 Starting oncoSimulSample-limits tests Thu Apr 12 07:21:13 2018 

 Hitted maxtries. Exiting.
 Hitting max tries is regarded as an error. 

 Hitted maxtries. Exiting.
 Hitting max tries is regarded as an error. 

 Ending oncoSimulSample-limits tests Thu Apr 12 07:21:14 2018 

 Starting per-gene-mutation rates at Thu Apr 12 07:21:14 2018 

 s01: a runif is 0.2135221 

 s02: a runif is 0.8289688 

 s03: a runif is 0.6504739 

 s04: a runif is 0.5709303 

 s05: a runif is 0.2577091 

 s06: a runif is 0.06483373 

 s07: a runif is 0.9672805 

 s15: a runif is 0.8273033 

 sz01: a runif is 0.7196244 

 sz02: a runif is 0.7900102 

 sz03: a runif is 0.6708894 

 sz04: a runif is 0.7581012 

 sz05: a runif is 0.5786401 

 sz06: a runif is 0.3712732 

 s3: a runif is 0.5152225 

 done tries 1 

 s4: a runif is 0.06382742 

 done tries 1 

 s5: a runif is 0.6556787 

 done tries 1 

 s6: a runif is 0.6781967 

 done tries 1 

 s7: a runif is 0.6070141 

 done tries 1 

 s8: a runif is 0.9761523 

 done tries 1 

 s9: a runif is 0.797237 

 done tries 1 

 s10: a runif is 0.9480886 

 s12: a runif is 0.2319544 

 s12b: a runif is 0.09749035 
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.

 done tries 1 

 s14: a runif is 0.5002326 
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.

 s14b: a runif is 0.3310149 
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= WARNING: the smallest mutation rate is 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
<= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= WARNING: the smallest mutation rate is <= 1e-111e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). WARNING: the smallest mutation rate is Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
<= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
. There can be numerical problems later.
WARNING: the smallest mutation rate is <= WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
 ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.

 done tries 1 

 s18: a runif is 0.3399157 

 done tries 1 

 mcs19: a runif is 0.5573643 
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-11. There can be numerical problems later.

 done tries 1 

 s20: a runif is 0.6645095 

 s20b: a runif is 0.02565005 

 s20c: a runif is 0.6553338 

 done tries 1 

 df1: a runif is 0.8941545 

 df1a: a runif is 0.9228825 

 df1b: a runif is 0.584749 

 done tries 1 

 mcdf2: a runif is 0.8167339 

 mcdf2a: a runif is 0.3134622 

 mcdf2b: a runif is 0.8386369 

 done tries 1 

 mpgs3: a runif is 0.5154645 

 mpgs3a: a runif is 0.4440171 

 mpgs3b: a runif is 0.114293 

 done tries 1 

 mcoss11: a runif is 0.4243621 

 mcoss1a: a runif is 0.6342385 

 mcoss1b: a runif is 0.2631898 

 done tries 1 

 mcoss2: a runif is 0.2601529 

 mcoss2a: a runif is 0.7948262 

 mcoss2b: a runif is 0.7250074 

 done tries 1 

 mpg s14: a runif is 0.6573865 
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome isWARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
 ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= WARNING: the smallest mutation rate is 1e-11<= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.

 mpg s14b: a runif is 0.02868374 
WARNING: the smallest mutation rate is <= WARNING: the smallest mutation rate is 1e-11<= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
<= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11WARNING: the smallest mutation rate is <= . That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= WARNING: the smallest mutation rate is 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
<= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= WARNING: the smallest mutation rate is 1e-11. That is a really small value<= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11WARNING: the smallest mutation rate is <= . That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-111e-15. That is a really small value. There can be numerical problems later.
(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
<= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= WARNING: the smallest mutation rate is 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). <= Setting dummyMutationRate to your min/100 = 1e-11. That is a really small value(per-base mutation rate in the human genome is1e-15 ˜ 1e-11 to 1e-9). . There can be numerical problems later.
Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = WARNING: the smallest mutation rate is 1e-15<= . There can be numerical problems later.
1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.
WARNING: the smallest mutation rate is <= 1e-11. That is a really small value(per-base mutation rate in the human genome is ˜ 1e-11 to 1e-9). Setting dummyMutationRate to your min/100 = 1e-15. There can be numerical problems later.

 done tries 1 

 mpg mcdf2: a runif is 0.625741 

 mpg mcdf2a: a runif is 0.07531594 

 mpg mcdf2b: a runif is 0.3350135 

 done tries 1 

 mcsz033: a runif is 0.01343183 

 mcsz033a: a runif is 0.7160957 

 mcsz033b: a runif is 0.3860253 
[1] 1.51105
[1] 1.798961
[1] 9
[1] 12

 T1 is TRUE
 T2 is TRUE
 done tries 1 

 osSFPSMcFL: a runif is 0.885614 

 osSFPSMcFLa: a runif is 0.6758248 

 osSFPSMcFLb: a runif is 0.6327389 

 done tries 1 

 Done per-gene-mutation rates at Thu Apr 12 07:22:57 2018 

 Starting poset-transformations tests Thu Apr 12 07:23:01 2018 

 Ending poset-transformations tests Thu Apr 12 07:23:06 2018 

 Starting sample-prob Thu Apr 12 07:23:06 2018 
[1] 1.213441e-27

 done tries 1 
[1] 5.086853e-12

 done tries 1 
[1] 1.181721e-20

 done tries 1 
[1] 1.302186e-16

 done tries 1 
[1] 2.683954e-27

 done tries 1 
[1] 5.653084e-38

 done tries 1 
[1] 1.069075e-10

 done tries 1 
[1] 8.353975e-15

 done tries 1 
[1] 1.836251e-25

 done tries 1 
[1] 5.738597e-17

 done tries 1 
[1] 3.268007e-18

 done tries 1 
[1] 1.661024e-20

 done tries 1 

 Ending sample-prob tests Thu Apr 12 07:23:42 2018 

 Starting samplePop tests Thu Apr 12 07:23:42 2018 

 Ending samplePop tests Thu Apr 12 07:24:08 2018 

 Starting simuls-runs-examples tests Thu Apr 12 07:24:08 2018 

 Doing i =  1  name =  w 

 Doing i =  2  name =  cbn1 

 Doing i =  3  name =  pancr 

 Doing i =  4  name =  fbauer 

 Doing i =  5  name =  cbn2 

 Doing i =  1  name =  w 

 Doing i =  2  name =  cbn1 

 Doing i =  3  name =  pancr 

 Doing i =  4  name =  fbauer 

 Doing i =  5  name =  cbn2 

 Doing i =  1  name =  w 

 Doing i =  1  name =  w 

 Doing i =  2  name =  cbn1 

 Doing i =  2  name =  cbn1 

 Doing i =  3  name =  pancr 

 Doing i =  3  name =  pancr 

 Doing i =  4  name =  fbauer 

 Doing i =  4  name =  fbauer 

 Doing i =  5  name =  cbn2 

 Doing i =  5  name =  cbn2 

 Doing i =  1  name =  w 

 Doing i =  2  name =  cbn1 

 Doing i =  3  name =  pancr 

 Doing i =  4  name =  fbauer 

 Doing i =  5  name =  cbn2 

 Ending simuls-runs-examples tests Thu Apr 12 07:24:24 2018 

 Starting warning-mutPropGrowth tests Thu Apr 12 07:24:24 2018 

 a runif is 0.5719165 

 Ending warning-mutPropGrowth tests Thu Apr 12 07:24:26 2018 

 Starting wide2long tests Thu Apr 12 07:24:26 2018 

 Ending wide2long tests Thu Apr 12 07:24:26 2018 
══ testthat results  ═══════════════════════════════════════════════════════════
OK: 2983 SKIPPED: 10 FAILED: 0
> 
> proc.time()
   user  system elapsed 
460.865  96.947 386.451 

Example timings

OncoSimulR.Rcheck/OncoSimulR-Ex.timings

nameusersystemelapsed
OncoSimulWide2Long0.8810.0340.973
POM2.3190.2582.681
allFitnessEffects3.8280.0243.917
benchmarks0.0140.0030.019
evalAllGenotypes0.2300.0070.238
example-missing-drivers0.4840.0250.518
examplePosets0.3810.0020.389
examplesFitnessEffects0.0640.0020.069
mcfLs3.3700.1533.579
oncoSimulIndiv 9.171 3.09911.239
plot.fitnessEffects1.0250.0191.065
plot.oncosimul3.8110.9983.315
plotClonePhylog1.9980.4262.472
plotFitnessLandscape1.5050.0071.547
plotPoset0.1410.0030.144
poset0.1770.0030.189
rfitness0.4430.0030.455
samplePop0.1890.1580.332
simOGraph0.2610.0270.296
to_Magellan0.0310.0010.032