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) |
| Back to Multiple platform build/check report for BioC 3.6 |
|
This page was generated on 2018-04-12 13:39:00 -0400 (Thu, 12 Apr 2018).
| Package 971/1472 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||
| OncoSimulR 2.8.0 Ramon Diaz-Uriarte
| malbec1 | Linux (Ubuntu 16.04.1 LTS) / x86_64 | NotNeeded | OK | OK | | ||||||
| tokay1 | Windows Server 2012 R2 Standard / x64 | NotNeeded | OK | WARNINGS | OK | | ||||||
| veracruz1 | OS X 10.11.6 El Capitan / x86_64 | NotNeeded | OK | [ OK ] | OK | |
| 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 |
##############################################################################
##############################################################################
###
### 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.
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)
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
OncoSimulR.Rcheck/OncoSimulR-Ex.timings
| name | user | system | elapsed | |
| OncoSimulWide2Long | 0.881 | 0.034 | 0.973 | |
| POM | 2.319 | 0.258 | 2.681 | |
| allFitnessEffects | 3.828 | 0.024 | 3.917 | |
| benchmarks | 0.014 | 0.003 | 0.019 | |
| evalAllGenotypes | 0.230 | 0.007 | 0.238 | |
| example-missing-drivers | 0.484 | 0.025 | 0.518 | |
| examplePosets | 0.381 | 0.002 | 0.389 | |
| examplesFitnessEffects | 0.064 | 0.002 | 0.069 | |
| mcfLs | 3.370 | 0.153 | 3.579 | |
| oncoSimulIndiv | 9.171 | 3.099 | 11.239 | |
| plot.fitnessEffects | 1.025 | 0.019 | 1.065 | |
| plot.oncosimul | 3.811 | 0.998 | 3.315 | |
| plotClonePhylog | 1.998 | 0.426 | 2.472 | |
| plotFitnessLandscape | 1.505 | 0.007 | 1.547 | |
| plotPoset | 0.141 | 0.003 | 0.144 | |
| poset | 0.177 | 0.003 | 0.189 | |
| rfitness | 0.443 | 0.003 | 0.455 | |
| samplePop | 0.189 | 0.158 | 0.332 | |
| simOGraph | 0.261 | 0.027 | 0.296 | |
| to_Magellan | 0.031 | 0.001 | 0.032 | |