R Under development (unstable) (2023-11-10 r85507 ucrt) -- "Unsuffered Consequences"
Copyright (C) 2023 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64

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.

> # This file is part of the standard setup for testthat.
> # It is recommended that you do not modify it.
> #
> # Where should you do additional test configuration?
> # Learn more about the roles of various files in:
> # * https://r-pkgs.org/tests.html
> # * https://testthat.r-lib.org/reference/test_package.html#special-files
> 
> library(testthat)
> library(AnanseSeurat)
> 
> test_check("AnanseSeurat")
loading maelstrom values from maelstrom assay using the cluster identifier seurat_clusters
non-expressed genes are removed
Your data slot was not yet normalized.
Seurat NormalizeData with default settings will be run on all the genes in the RNA assay.
Performing log-normalization
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Only keep motif-TF combinations with an R > 0.01
Selecting correlating TFs
Motif best (absolute) correlated to expression is selected per TF
Selecting anticorrelating TFs
Motif best (absolute) correlated to expression is selected per TF
loading maelstrom values from maelstrom assay using the cluster identifier seurat_clusters
non-expressed genes are removed
Your data slot was not yet normalized.
Seurat NormalizeData with default settings will be run on all the genes in the RNA assay.
Performing log-normalization
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Only keep motif-TF combinations with an R > 0.01
Selecting correlating TFs
Take mean motif score of all binding motifs per TF
Selecting anticorrelating TFs
Take mean motif score of all binding motifs per TF
loading maelstrom values from maelstrom assay using the cluster identifier seurat_clusters
non-expressed genes are removed
Your data slot was not yet normalized.
Seurat NormalizeData with default settings will be run on all the genes in the RNA assay.
Performing log-normalization
0%   10   20   30   40   50   60   70   80   90   100%
[----|----|----|----|----|----|----|----|----|----|
**************************************************|
Only keep motif-TF combinations with an R > 0.01
Selecting correlating TFs
Most variable binding motif is selected per TF
Selecting anticorrelating TFs
Most variable binding motif is selected per TF
adding additional contrasts
calculating DEGS for contrast anansesnake_cluster1_average
For a (much!) faster implementation of the Wilcoxon Rank Sum Test,
(default method for FindMarkers) please install the presto package
--------------------------------------------
install.packages('devtools')
devtools::install_github('immunogenomics/presto')
--------------------------------------------
After installation of presto, Seurat will automatically use the more 
efficient implementation (no further action necessary).
This message will be shown once per session
calculating DEGS for contrast anansesnake_cluster2_average
calculating DEGS for contrast anansesnake_cluster3_average
calculating DEGS for contrast anansesnake_cluster1_cluster2
calculating CPM
Performing relative-counts-normalization
gather data from cluster1 with 5 cells
gather data from cluster2 with 5 cells
gather data from cluster3 with 5 cells
gather data from cluster1 with 5 cells
gather data from cluster2 with 5 cells
gather data from cluster3 with 5 cells
adding additional contrasts
gather data from cluster1 with 5 cells
gather data from cluster2 with 5 cells
gather data from cluster3 with 5 cells
[ FAIL 0 | WARN 19 | SKIP 0 | PASS 39 ]

[ FAIL 0 | WARN 19 | SKIP 0 | PASS 39 ]
> 
> proc.time()
   user  system elapsed 
   9.40    0.84   10.25