R Under development (unstable) (2026-07-07 r90210 ucrt) -- "Unsuffered Consequences"
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Platform: x86_64-w64-mingw32/x64

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> pkgname <- "natcpp"
> source(file.path(R.home("share"), "R", "examples-header.R"))
> options(warn = 1)
> options(pager = "console")
> base::assign(".ExTimings", "natcpp-Ex.timings", pos = 'CheckExEnv')
> base::cat("name\tuser\tsystem\telapsed\n", file=base::get(".ExTimings", pos = 'CheckExEnv'))
> base::assign(".format_ptime",
+ function(x) {
+   if(!is.na(x[4L])) x[1L] <- x[1L] + x[4L]
+   if(!is.na(x[5L])) x[2L] <- x[2L] + x[5L]
+   options(OutDec = '.')
+   format(x[1L:3L], digits = 7L)
+ },
+ pos = 'CheckExEnv')
> 
> ### * </HEADER>
> library('natcpp')
> 
> base::assign(".oldSearch", base::search(), pos = 'CheckExEnv')
> base::assign(".old_wd", base::getwd(), pos = 'CheckExEnv')
> cleanEx()
> nameEx("c_EdgeListFromSegList")
> ### * c_EdgeListFromSegList
> 
> flush(stderr()); flush(stdout())
> 
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: c_EdgeListFromSegList
> ### Title: Turn a segment list into an edgelist suitable for constructing
> ###   an ngraph
> ### Aliases: c_EdgeListFromSegList
> 
> ### ** Examples
> 
> 
> ## Not run: 
> ##D library(nat)
> ##D # make a neuron with multiple subtrees
> ##D n=prune_vertices(Cell07PNs[[1]], 48L)
> ##D # Must use flatten=T if including all subtrees
> ##D sl=as.seglist(n, all = TRUE, flatten = TRUE)
> ##D c_EdgeListFromSegList(sl)
> ## End(Not run)
> 
> 
> 
> base::assign(".dptime", (proc.time() - get(".ptime", pos = "CheckExEnv")), pos = "CheckExEnv")
> base::cat("c_EdgeListFromSegList", base::get(".format_ptime", pos = 'CheckExEnv')(get(".dptime", pos = "CheckExEnv")), "\n", file=base::get(".ExTimings", pos = 'CheckExEnv'), append=TRUE, sep="\t")
> cleanEx()
> nameEx("c_ListofMatrixRows")
> ### * c_ListofMatrixRows
> 
> flush(stderr()); flush(stdout())
> 
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: c_ListofMatrixRows
> ### Title: Convert a matrix into list of row vectors
> ### Aliases: c_ListofMatrixRows
> 
> ### ** Examples
> 
> ## Not run: 
> ##D library(nat)
> ##D xyz=xyzmatrix(Cell07PNs)
> ##D mat2list = function(m) {
> ##D um=unname(m)
> ##D lapply(1:nrow(um), function(i) um[i,])
> ##D }
> ##D bench::mark(rcpp=c_ListofMatrixRows(xyz), r=mat2list(xyz))
> ## End(Not run)
> 
> 
> 
> base::assign(".dptime", (proc.time() - get(".ptime", pos = "CheckExEnv")), pos = "CheckExEnv")
> base::cat("c_ListofMatrixRows", base::get(".format_ptime", pos = 'CheckExEnv')(get(".dptime", pos = "CheckExEnv")), "\n", file=base::get(".ExTimings", pos = 'CheckExEnv'), append=TRUE, sep="\t")
> cleanEx()
> nameEx("c_weighted_jaccard_sparse")
> ### * c_weighted_jaccard_sparse
> 
> flush(stderr()); flush(stdout())
> 
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: c_weighted_jaccard_sparse
> ### Title: Sparse weighted Jaccard similarity via C++
> ### Aliases: c_weighted_jaccard_sparse
> 
> ### ** Examples
> 
> ## Not run: 
> ##D library(Matrix)
> ##D m <- sparseMatrix(i = c(1,2,1,2,3,3), j = c(1,1,2,2,2,3),
> ##D                   x = c(4,2,1,3,3,1), dims = c(3,3))
> ##D c_weighted_jaccard_sparse(m)
> ## End(Not run)
> 
> 
> 
> base::assign(".dptime", (proc.time() - get(".ptime", pos = "CheckExEnv")), pos = "CheckExEnv")
> base::cat("c_weighted_jaccard_sparse", base::get(".format_ptime", pos = 'CheckExEnv')(get(".dptime", pos = "CheckExEnv")), "\n", file=base::get(".ExTimings", pos = 'CheckExEnv'), append=TRUE, sep="\t")
> ### * <FOOTER>
> ###
> cleanEx()
> options(digits = 7L)
> base::cat("Time elapsed: ", proc.time() - base::get("ptime", pos = 'CheckExEnv'),"\n")
Time elapsed:  0.5 0.05 0.55 NA NA 
> grDevices::dev.off()
null device 
          1 
> ###
> ### Local variables: ***
> ### mode: outline-minor ***
> ### outline-regexp: "\\(> \\)?### [*]+" ***
> ### End: ***
> quit('no')