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###
### Running command:
###
###   /home/biocbuild/bbs-3.20-bioc/R/bin/R CMD check --install=check:ASAFE.install-out.txt --library=/home/biocbuild/bbs-3.20-bioc/R/site-library --timings ASAFE_1.32.0.tar.gz
###
##############################################################################
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* using log directory ‘/media/volume/teran2_disk/biocbuild/bbs-3.20-bioc/meat/ASAFE.Rcheck’
* using R version 4.4.1 (2024-06-14)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    gcc (Ubuntu 13.2.0-23ubuntu4) 13.2.0
    GNU Fortran (Ubuntu 13.2.0-23ubuntu4) 13.2.0
* running under: Ubuntu 24.04.1 LTS
* using session charset: UTF-8
* checking for file ‘ASAFE/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘ASAFE’ version ‘1.32.0’
* 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 ‘ASAFE’ can be installed ... OK
* checking installed package size ... OK
* 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 code 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 LazyData ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘testthat.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking re-building of vignette outputs ... OK
* checking PDF version of manual ... OK
* DONE

Status: OK

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###
### Running command:
###
###   /home/biocbuild/bbs-3.20-bioc/R/bin/R CMD INSTALL ASAFE
###
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* installing to library ‘/media/volume/teran2_disk/biocbuild/bbs-3.20-bioc/R/site-library’
* installing *source* package ‘ASAFE’ ...
** using staged installation
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (ASAFE)

R version 4.4.1 (2024-06-14) -- "Race for Your Life"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu

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.

> # The line you need to have R CMD check work,
> # and avoid some weird error I got from R CMD check.
> 
> Sys.setenv("R_TESTS" = "")
> 
> # The following commands model off of 
> # https://github.com/hadley/testthat
> 
> library(testthat)
> library(ASAFE)
> 
> test_check("ASAFE")
[1] "alleles_1 and ancestries_1 have been defined so that\n          n is an 18-long vector of 1's,\n          algorithm_1snp(alleles_1, ancestries_1) =\n          em(n = replicate(n = 18, expr = 1), epsilon = 10^-8, iteration_cap = 1000).\n          algorithm_1snp(alleles_1, ancestries_1) = "
[1] 0.5 0.5 0.5
[1] "alleles are: "
      rs1 rs2
 [1,]   0   0
 [2,]   0   0
 [3,]   0   0
 [4,]   0   0
 [5,]   0   0
 [6,]   0   0
 [7,]   0   0
 [8,]   0   0
 [9,]   0   0
[10,]   0   0
[11,]   0   0
[12,]   0   0
[13,]   0   0
[14,]   1   1
[15,]   0   0
[16,]   1   1
[17,]   0   0
[18,]   1   1
[19,]   0   0
[20,]   1   1
[21,]   0   0
[22,]   1   1
[23,]   0   0
[24,]   1   1
[25,]   1   1
[26,]   1   1
[27,]   1   1
[28,]   1   1
[29,]   1   1
[30,]   1   1
[31,]   1   1
[32,]   1   1
[33,]   1   1
[34,]   1   1
[35,]   1   1
[36,]   1   1
[1] "ancestries are: "
             [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12]
ancestries_1    0    0    0    1    0    2    1    1    1     2     2     2
ancestries_1    0    0    0    1    0    2    1    1    1     2     2     2
             [,13] [,14] [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23]
ancestries_1     0     0     0     1     0     2     1     1     1     2     2
ancestries_1     0     0     0     1     0     2     1     1     1     2     2
             [,24] [,25] [,26] [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34]
ancestries_1     2     0     0     0     1     0     2     1     1     1     2
ancestries_1     2     0     0     0     1     0     2     1     1     1     2
             [,35] [,36]
ancestries_1     2     2
ancestries_1     2     2
[1] "algorithm_1snp_wrapper(i = 1,\n                                  alleles = alleles,\n                                  ancestries = ancestries)"
[1] "rs1" "0.5" "0.5" "0.5"
[1] "algorithm_1snp_wrapper(i = 2,\n                                  alleles = alleles,\n                                  ancestries = ancestries)"
[1] "rs2" "0.5" "0.5" "0.5"
[1] "change_ancestry(anc = 0, error_rate = 1) should be 1 or 2"
[1] 2
[1] "change_ancestry(anc = 1, error_rate = 1) should be 0 or 2"
[1] 0
[1] "change_ancestry(anc = 2, error_rate = 1) should be 0 or 1"
[1] 0
[1] "draw_allele_given_anc(anc = 0, freqs = c(1, 0, 0)) should return 1"
[1] "draw_allele_given_anc(anc = 0, freqs = c(0, 0, 0)) should return 0"
[1] "draw_allele_given_anc(anc = 1, freqs = c(0, 1, 0)) should return 1"
[1] "draw_allele_given_anc(anc = 1, freqs = c(0, 0, 0)) should return 0"
[1] "draw_allele_given_anc(anc = 2, freqs = c(0, 0, 1)) should return 1"
[1] "draw_allele_given_anc(anc = 2, freqs = c(0, 0, 0)) should return 0"
[1] "draw_allele_given_anc(anc = 3, freqs = c(0, 0, 0)) should return error"
[1] "em(n = replicate(n = 18, expr = 1),\n       epsilon = 10^-8, iteration_cap = 1000) = "
[1] 0.5 0.5 0.5
[1] "The following should run: "
[1] "n_ind =  3"
[1] "n_markers =  2"
[1] "ancestries_matrix = "
     [,1] [,2]
[1,]    0    0
[2,]    0    0
[3,]    1    1
[4,]    1    1
[5,]    2    2
[6,]    2    2
[1] "get_errors_1_scenario(p0 = 1, p1 = 1, p2 = 1,\n                                                ancestries_matrix_true = ancestries_matrix,\n                                                ancestries_matrix_estimated = ancestries_matrix)"
       [,1]   [,2]
[1,] -3e-08 -3e-08
[2,] -3e-08 -3e-08
[3,] -3e-08 -3e-08
[1] "The following should run: "
[1] "n_ind =  3"
[1] "n_markers =  2"
[1] "ancestries_matrix = "
     [,1] [,2]
[1,]    0    0
[2,]    0    0
[3,]    1    1
[4,]    1    1
[5,]    2    2
[6,]    2    2
[1] "get_errors_1_scenario(p0 = 1, p1 = 1, p2 = 1,\n                                                ancestries_matrix_true = ancestries_matrix,\n                                                ancestries_matrix_estimated = ancestries_matrix)"
       [,1]   [,2]
[1,] -3e-08 -3e-08
[2,] -3e-08 -3e-08
[3,] -3e-08 -3e-08
[1] "get_errors_summary_stats_1_scenario(p0 = 1, p1 = 1, p2 = 1,\n                                        ancestries_matrix_true = ancestries_matrix,\n                                        ancestries_matrix_estimated = ancestries_matrix)\n          takes mean error over snp columns, and errors across snps should be identical,\n          so mean errors should be the same as a column from the output of\n          the get_errors_1_scenario() call"
     mean_errors sd_errors
[1,]      -3e-08         0
[2,]      -3e-08         0
[3,]      -3e-08         0
[1] "Constructing an example where I know what to expect\n          from this function."
[1] "Say estimates are: "
     rsid Freq1_Anc0 Freq1_Anc1 Freq1_Anc2
[1,]    1       0.15       0.15       0.15
[2,]    2       0.36       0.36       0.36
[3,]    3       0.57       0.57       0.57
[4,]    4       0.78       0.78       0.78
[5,]    5       0.99       0.99       0.99
[1] "Say truth is: "
     rsid Freq1_Anc0 Freq1_Anc1 Freq1_Anc2
[1,]    1        0.1        0.1        0.1
[2,]    2        0.3        0.3        0.3
[3,]    3        0.5        0.5        0.5
[4,]    4        0.7        0.7        0.7
[5,]    5        0.9        0.9        0.9
[1] "Constructing an example where I know what to expect\n          from this function."
[1] "Say estimates are: "
     rsid Freq1_Anc0 Freq1_Anc1 Freq1_Anc2
[1,]    1        0.1        0.1        0.1
[2,]    2        0.1        0.1        0.1
[3,]    3        0.1        0.1        0.1
[4,]    4        0.9        0.9        0.9
[5,]    5        0.9        0.9        0.9
[6,]    6        0.9        0.9        0.9
[1] "Say truth is: "
     rsid Freq1_Anc0 Freq1_Anc1 Freq1_Anc2
[1,]    1        0.2        0.2        0.2
[2,]    2        0.2        0.2        0.2
[3,]    3        0.5        0.5        0.5
[4,]    4        0.5        0.5        0.5
[5,]    5        0.8        0.8        0.8
[6,]    6        0.8        0.8        0.8
[1] "n_ind =  3"
[1] "n_markers =  2"
[1] "anc_spec_freqs = "
     [,1] [,2] [,3]
[1,]  1.0  1.0  1.0
[2,]  0.0  0.0  0.0
[3,]  0.5  0.5  0.5
[1] "ancestries_matrix = "
     [,1] [,2]
[1,]    0    0
[2,]    0    0
[3,]    1    1
[4,]    1    1
[5,]    2    2
[6,]    2    2
[1] "get_results_error(error_rate = 0,\n           anc_spec_freqs, ancestries_matrix_true) = "
                    p0  p1  p2     Mean          SD
Abs_Error_Afr_Freq 1.0 1.0 1.0 -3.0e-08 0.00000e+00
Abs_Error_Eur_Freq 1.0 1.0 1.0 -3.0e-08 0.00000e+00
Abs_Error_NA_Freq  1.0 1.0 1.0 -3.0e-08 0.00000e+00
Abs_Error_Afr_Freq 0.0 0.0 0.0  3.0e-08 0.00000e+00
Abs_Error_Eur_Freq 0.0 0.0 0.0  3.0e-08 0.00000e+00
Abs_Error_NA_Freq  0.0 0.0 0.0  3.0e-08 0.00000e+00
Abs_Error_Afr_Freq 0.5 0.5 0.5  1.5e-08 2.12132e-08
Abs_Error_Eur_Freq 0.5 0.5 0.5  0.0e+00 0.00000e+00
Abs_Error_NA_Freq  0.5 0.5 0.5  1.5e-08 2.12132e-08
[1] "get_results_error(error_rate = 1,\n           anc_spec_freqs, ancestries_matrix_true) = "
                    p0  p1  p2      Mean           SD
Abs_Error_Afr_Freq 1.0 1.0 1.0 -6.00e-08 0.000000e+00
Abs_Error_Eur_Freq 1.0 1.0 1.0 -4.00e-08 2.828427e-08
Abs_Error_NA_Freq  1.0 1.0 1.0 -2.25e-08 1.060660e-08
Abs_Error_Afr_Freq 0.0 0.0 0.0  6.00e-08 0.000000e+00
Abs_Error_Eur_Freq 0.0 0.0 0.0  4.00e-08 2.828427e-08
Abs_Error_NA_Freq  0.0 0.0 0.0  2.25e-08 1.060660e-08
Abs_Error_Afr_Freq 0.5 0.5 0.5  0.00e+00 0.000000e+00
Abs_Error_Eur_Freq 0.5 0.5 0.5  0.00e+00 0.000000e+00
Abs_Error_NA_Freq  0.5 0.5 0.5  0.00e+00 0.000000e+00
[1] "anc_spec_freqs = "
     [,1] [,2] [,3]
[1,]  1.0  1.0  1.0
[2,]  0.0  0.0  0.0
[3,]  0.5  0.5  0.5
[1] "ancestries_matrix = "
     [,1] [,2]
[1,]    0    0
[2,]    0    0
[3,]    1    1
[4,]    1    1
[5,]    2    2
[6,]    2    2
[1] "get_scenario_errors(row = 1, anc_spec_freqs = anc_spec_freqs,\n                        ancestries_matrix_true = ancestries_matrix,\n                        ancestries_matrix_estimated = ancestries_matrix)"
     p0 p1 p2 mean_errors sd_errors
[1,]  1  1  1      -3e-08         0
[2,]  1  1  1      -3e-08         0
[3,]  1  1  1      -3e-08         0
[1] "get_scenario_errors(row = 2, anc_spec_freqs = anc_spec_freqs,\n                        ancestries_matrix_true = ancestries_matrix,\n                        ancestries_matrix_estimated = ancestries_matrix)"
     p0 p1 p2 mean_errors sd_errors
[1,]  0  0  0       3e-08         0
[2,]  0  0  0       3e-08         0
[3,]  0  0  0       3e-08         0
[1] "get_scenario_errors(row = 3, anc_spec_freqs = anc_spec_freqs,\n                        ancestries_matrix_true = ancestries_matrix,\n                        ancestries_matrix_estimated = ancestries_matrix)"
      p0  p1  p2 mean_errors   sd_errors
[1,] 0.5 0.5 0.5     1.5e-08 2.12132e-08
[2,] 0.5 0.5 0.5     1.5e-08 2.12132e-08
[3,] 0.5 0.5 0.5     0.0e+00 0.00000e+00
[1] "get_true_freqs_1snp(alleles_1 = c(0, 0, 1, 0, 1, 1),\n           ancestries_1 = c(0, 1, 0, 2, 1, 2))\n           should return [0.5, 0.5, 0.5]"
[1] "sample_ancestry(0) = Should be something other than 0"
[1] 2
[1] "sample_ancestry(1) = Should be something other than 1"
[1] 2
[1] "sample_ancestry(2) = Should be something other than 2"
[1] 0
[ FAIL 0 | WARN 0 | SKIP 5 | PASS 63 ]

══ Skipped tests (5) ═══════════════════════════════════════════════════════════
• empty test (5): 'test_algorithm_1snp_wrapper.R:1:1',
  'test_get_errors_1_scenario.R:1:1', 'test_get_results_error.R:1:1',
  'test_get_scenario_errors.R:1:1', 'test_sample_ancestry.R:1:1'

[ FAIL 0 | WARN 0 | SKIP 5 | PASS 63 ]
> 
> # Note that in the directory tests/testthat,
> # there's 1 test file per function. I like that format,
> # because I don't have to scroll through a long file.
> # Hadley does the same thing here: 
> # https://github.com/hadley/testthat/tree/master/tests/testthat.
> 
> proc.time()
   user  system elapsed 
  0.573   0.093   0.675