Package check result: ERROR

Check: CRAN incoming feasibility, Result: NOTE
  Maintainer: ‘Juan Alberto Molina-Valero <jamolinavalero@gmail.com>’
  
  Found the following (possibly) invalid file URIs:
    URI: www.czu.cz/en
      From: README.md
    URI: adaptbrdy.czu.cz/en
      From: README.md

Check: examples, Result: ERROR
  Running examples in ‘FORTLS-Ex.R’ failed
  The error most likely occurred in:
  
  > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
  > ### Name: tree.detection.multi.scan
  > ### Title: Tree-Level Variables Estimation
  > ### Aliases: tree.detection.multi.scan
  > 
  > ### ** Examples
  > 
  > 
  > ## No test: 
  > 
  > # Establishment of working directories (optional)
  > # By default here we propose the current working directory of the R process
  > 
  > dir.data <- getwd()
  > dir.result <- getwd()
  > 
  > 
  > # Loading example data of TLS multi-scan approach point cloud (LAZ file) to dir.data
  > 
  > download.file(
  + "www.dropbox.com/scl/fi/es5pfj87wj0g6y8414dpo/PiceaAbies.laz?rlkey=ayt21mbndc6i6fyiz2e7z6oap&dl=1",
  +               destfile = file.path(dir.data, "PiceaAbies.laz"),
  +               mode = "wb")
  trying URL 'www.dropbox.com/scl/fi/es5pfj87wj0g6y8414dpo/PiceaAbies.laz?rlkey=ayt21mbndc6i6fyiz2e7z6oap&dl=1'
  Content type 'application/binary' length 12898220 bytes (12.3 MB)
  ==================================================
  downloaded 12.3 MB
  
  > 
  > # Normalizing the whole point cloud data without considering arguments
  > 
  > pcd <- normalize(las = "PiceaAbies.laz",
  + 
  +                  id = "PiceaAbies",
  + 
  +                  scan.approach = "multi",
  + 
  +                  voxel_size = 0.01,
  + 
  +                  dir.data = dir.data, dir.result = dir.result)
  
                                                                                  
  /home/hornik/tmp/CRAN_special_donttest/FORTLS.Rcheck/FORTLS/python/voxel_grid_downsampling.py:7: RuntimeWarning: invalid value encountered in cast
    voxel_coord = tuple(np.floor(point / voxel_size).astype(int))
  > 
  > 
  > # Tree detection without considering arguments
  > 
  > tree.tls <- tree.detection.multi.scan(data = pcd,
  + 
  +                                       tls.precision = 0.05,
  + 
  +                                       slice = 0.2,
  + 
  +                                       threads = 2,
  + 
  +                                       dir.result = dir.result)
  Application of Statistical Outlier Removal (SOR) to the entire point cloud
  Retention of points with high verticality values
  Detection of tree stem axes
  Computing sections
  
   *** caught segfault ***
  address 0x55fc12c666d4, cause 'memory not mapped'
  
  Traceback:
   1: dbscan_int(x, as.double(eps), as.integer(minPts), as.double(weights),     as.integer(borderPoints), as.integer(search), as.integer(bucketSize),     as.integer(splitRule), as.double(approx), frNN)
   2: dbscan::dbscan(.cut[, c("x", "y"), drop = FALSE], eps = .eps,     minPts = 10)
   3: withCallingHandlers(expr, message = function(c) if (inherits(c,     classes)) tryInvokeRestart("muffleMessage"))
   4: suppressMessages(dbscan::dbscan(.cut[, c("x", "y"), drop = FALSE],     eps = .eps, minPts = 10))
   5: doTryCatch(return(expr), name, parentenv, handler)
   6: tryCatchOne(expr, names, parentenv, handlers[[1L]])
   7: tryCatchList(expr, classes, parentenv, handlers)
   8: tryCatch(expr, error = function(e) {    call <- conditionCall(e)    if (!is.null(call)) {        if (identical(call[[1L]], quote(doTryCatch)))             call <- sys.call(-4L)        dcall <- deparse(call, nlines = 1L)        prefix <- paste("Error in", dcall, ": ")        LONG <- 75L        sm <- strsplit(conditionMessage(e), "\n")[[1L]]        w <- 14L + nchar(dcall, type = "w") + nchar(sm[1L], type = "w")        if (is.na(w))             w <- 14L + nchar(dcall, type = "b") + nchar(sm[1L],                 type = "b")        if (w > LONG)             prefix <- paste0(prefix, "\n  ")    }    else prefix <- "Error : "    msg <- paste0(prefix, conditionMessage(e), "\n")    .Internal(seterrmessage(msg[1L]))    if (!silent && isTRUE(getOption("show.error.messages"))) {        cat(msg, file = outFile)        .Internal(printDeferredWarnings())    }    invisible(structure(msg, class = "try-error", condition = e))})
   9: try(suppressMessages(dbscan::dbscan(.cut[, c("x", "y"), drop = FALSE],     eps = .eps, minPts = 10)))
  10: tree.detection.multi.scan(data = pcd, tls.precision = 0.05, slice = 0.2,     threads = 2, dir.result = dir.result)
  An irrecoverable exception occurred. R is aborting now ...
  Segmentation fault

Check: for non-standard things in the check directory, Result: NOTE
  Found the following files/directories:
    ‘1.txt’ ‘2.txt’ ‘PiceaAbies.laz’ ‘PiceaAbies.txt’ ‘PinusRadiata.laz’
    ‘PinusRadiata.txt’ ‘RB.G.angle.count.html’ ‘RB.G.fixed.area.html’
    ‘RB.G.k.tree.html’ ‘RB.N.angle.count.html’ ‘RB.N.fixed.area.html’
    ‘RB.N.k.tree.html’ ‘RB.V.angle.count.html’ ‘RB.angle.count.csv’
    ‘RB.d.angle.count.html’ ‘RB.d.fixed.area.html’ ‘RB.d.k.tree.html’
    ‘RB.fixed.area.csv’ ‘RB.h.angle.count.html’ ‘RB.h.fixed.area.html’
    ‘RB.h.k.tree.html’ ‘RB.k.tree.csv’
    ‘metrics.variables.angle.count.plot.csv’
    ‘metrics.variables.fixed.area.plot.csv’
    ‘metrics.variables.k.tree.plot.csv’
    ‘opt.correlations.angle.count.pearson.html’
    ‘opt.correlations.angle.count.spearman.html’
    ‘opt.correlations.fixed.area.pearson.html’
    ‘opt.correlations.fixed.area.spearman.html’
    ‘opt.correlations.k.tree.pearson.html’
    ‘opt.correlations.k.tree.spearman.html’
    ‘simulations.angle.count.plot.csv’ ‘simulations.fixed.area.plot.csv’
    ‘simulations.k.tree.plot.csv’