[rkward] [Bug 483120] New: hang but not crash - probably trying to load an image too big for the allocated memory (I guess)

RolMo808 bugzilla_noreply at kde.org
Sun Mar 10 14:56:58 GMT 2024


https://bugs.kde.org/show_bug.cgi?id=483120

            Bug ID: 483120
           Summary: hang but not crash - probably trying to load an image
                    too big for the allocated memory (I guess)
    Classification: Applications
           Product: rkward
           Version: unspecified
          Platform: Fedora RPMs
                OS: Linux
            Status: REPORTED
          Severity: normal
          Priority: NOR
         Component: general
          Assignee: rkward-devel at kde.org
          Reporter: rollo.moore at ieee.org
  Target Milestone: ---

SUMMARY
***
NOTE: If you are reporting a crash, please try to attach a backtrace with debug
symbols.
See
https://community.kde.org/Guidelines_and_HOWTOs/Debugging/How_to_create_useful_crash_reports
***


STEPS TO REPRODUCE
1. 
2. 
3. 

OBSERVED RESULT


EXPECTED RESULT


SOFTWARE/OS VERSIONS
Windows: 
macOS: 
Linux/KDE Plasma: 
(available in About System)
KDE Plasma Version: 
KDE Frameworks Version: 
Version 5.115.0
Qt Version: 
Qt Version 5.15.12 (built against 5.15.12)
Friedrichsmeier, T. & the RKWard Team (2022). RKWard: Frontend to the R
statistics language. Version 0.7.5. https://rkward.kde.org

ADDITIONAL INFORMATION
---Problem description---
Please fill in the missing bits *in English*.

I encountered the error message quoted below. Additionally, I saw the following
symptoms:
###Please fill in (if applicable)###

What - in detail - did you do directly before you encountered this problem?
###Please fill in###

When you try to repeat the above, does the problem occur again (no, sometimes,
always)?
###Please fill in###

If applicable: When doing the same thing in an R session outside of RKWard, do
you see the same problem?
###Please fill in###

Do you have any further information that might help us to track this problem
down? In particular, if applicable, can you provide sample data and sample R
code to reproduce this problem?
###Please fill in###

RKWard is available in many different packagings, and sometimes problems are
specific to one method of installation. How did you install RKWard (which
file(s) did you download)?
###Please fill in###


---Error Message---
Message code: r_engine_has_died
Connection closed unexpectedly. Last error was: QLocalSocket: Remote closed
The R backend will be shut down immediately. This means, you can not use any
more functions that rely on it. I.e. you can do hardly anything at all, not
even save the workspace (but if you're lucky, R already did that). What you can
do, however, is save any open command-files, the output, or copy data out of
open data editors. Quit RKWard after that. Sorry!

---Session Info---
RKWard version: 0.7.5
KDE Frameworks version (runtime): 5.115.0
KDE Frameworks version (compile time): 5.109.0
Qt version (runtime): 5.15.12
Qt version (compile time): 5.15.10
Using QWebEngine for HTML rendering
Local config directory: /home/rollom/.config
RKWard storage directory: /home/rollom/.rkward/
Backend version (as known to the frontend): 4.3.3

Debug message file (this may contain relevant diagnostic output in case of
trouble):
/tmp/rkward.frontend
- backend not available or rk.sessionInfo() canceled -

[1] "230203RM_MPRAGE-GRAPPA2-1x1x1-208sl-100pcFOV_20230203164527_21.nii"
[2] "MRI-work.RData"                                                    
[3] "MRI-work.RData.rkworkplace"                                        
> image<-readNifti(file(nameRM))
Error in readNifti(file(nameRM)) : 
  File name(s) must be specified in a character vector
> mode(nameRM)
[1] "character"
> nameRM
[1] "230203RM_MPRAGE-GRAPPA2-1x1x1-208sl-100pcFOV_20230203164527_21.nii"
> image<-readNifti(file="230203RM_MPRAGE-GRAPPA2-1x1x1-208sl-100pcFOV_20230203164527_21.nii")
> dim(image)
[1] 208 256 256
> pixdim(image)
[1] 1 1 1
> pixunits(image)
[1] "mm" "s" 
> view(image)
Setting window to (0, 240)
Error: C stack usage  46892866892684 is too close to the limit

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