Segfault with header

[muschellij2]

TAS1H30182785_2019-09-1760sec.csv

Failing at https://github.com/paulhibbing/AGread/blob/master/src/get_VM_C.cpp.

Reads "OK" with header = FALSE, but Axis1-3 are in row 1

AGread::read_AG_counts("TAS1H30182785_2019-09-1760sec.csv", header = TRUE)

 *** caught segfault ***
address 0x15970, cause 'memory not mapped'

Traceback:
 1: get_VM_C(AG[, first_col], AG[, first_col + 1], AG[, first_col +     2])
 2: all.equal(., AG[, ncol(AG)], tolerance = 0.015)
 3: isTRUE(.)
 4: get_VM_C(AG[, first_col], AG[, first_col + 1], AG[, first_col +     2]) %>% round(2) %>% all.equal(AG[, ncol(AG)], tolerance = 0.015) %>%     isTRUE(.)
 5: AGread::read_AG_counts("TAS1H30182785_2019-09-1760sec.csv", header = TRUE)

Possible actions:
1: abort (with core dump, if enabled)
2: normal R exit
3: exit R without saving workspace
4: exit R saving workspace

[paulhibbing]

Hmm... My first thought is an issue with cross-platform performance, since this runs fine for me on the following:

R version 4.2.2 (2022-10-31 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 26100)

For what it's worth, AGread was removed from CRAN due to 'issues' with c++ code, and my proficiency in c++ is worse than novice, so I'm a little at a loss how to correct any of this.