Package check result: ERROR Check: CRAN incoming feasibility, Result: NOTE Maintainer: ‘Juan Alberto Molina-Valero ’ Found the following (possibly) invalid URLs: URL: https://adaptbrdy.czu.cz/en From: README.md Status: Error Message: SSL peer certificate or SSH remote key was not OK [adaptbrdy.czu.cz]: server verification failed: certificate signer not trusted. (CAfile: /etc/ssl/certs/ca-certificates.crt CRLfile: none) URL: https://www.czu.cz/en From: README.md Status: Error Message: SSL peer certificate or SSH remote key was not OK [www.czu.cz]: server verification failed: certificate signer not trusted. (CAfile: /etc/ssl/certs/ca-certificates.crt CRLfile: none) 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, + + 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 Error in .check_ncores(length(names)) : 31 simultaneous processes spawned Calls: tree.detection.multi.scan -> -> makePSOCKcluster -> .check_ncores Execution halted 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’