Hacktoberfest 2026: le issue che i maintainer hanno segnato per ottobre, aperte e adatte ai principianti. Sfoglia le issue Hacktoberfest

Segfault when plotting to axis of closed figure

Aperta
#28 0 commenti 0 reazioni 0 assegnatari Vedi su GitHub

Nessuno ha ancora preso questa issue.

Valutazione

Difficoltà
4/5
Tempo stimato
3-5 giorni
Idoneità per principianti
35/100
Tipo di issue
Bug
Chiarezza
Abbastanza chiara
Stato di attività
Ferma
Stack tecnologico
julia, matplotlib, python

Direzione di ricerca

Inizia riproducendo lo scenario di una figure chiusa con PythonPlot v1.0.2 e l’esempio Julia riportato nell’issue. Poi esamina la gestione della GUI di PythonPlot intorno a src/pygui.jl, riga 199, e lo stack matplotlib/Tk mostrato nel trace. Il lavoro è completato quando il plotting su una figure chiusa non provoca più un segmentation fault e si comporta invece in modo sicuro, idealmente sollevando un errore se l’operazione non è supportata.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

If we attempt to plot to the axis of a figure that has already been displayed and closed, then on my machine Juliaa segfaults.

julia> fig, ax = subplots()  # opens plot window, leave open
Python: (<Figure size 640x480 with 1 Axes>, <Axes: >)

julia> ax.scatter(randn(10), randn(10))  # adds plot to window
Python: <matplotlib.collections.PathCollection object at 0x7f0df059df50>

Then close the opened plot window and run the following, which causes the segfault.

julia> ax.scatter(randn(10), randn(10))
Python: <matplotlib.collections.PathCollection object at 0x7f0df19db050>

julia> 
[306116] signal (11.1): Segmentation fault
in expression starting at none:0
Tk_GetImageMasterData at /tmp/jl_GaEsxY/.CondaPkg/env/lib/python3.11/lib-dynload/../../libtk8.6.so (unknown line)
Tk_FindPhoto at /tmp/jl_GaEsxY/.CondaPkg/env/lib/python3.11/lib-dynload/../../libtk8.6.so (unknown line)
_ZL11mpl_tk_blitP7_objectS0_ at /tmp/jl_GaEsxY/.CondaPkg/env/lib/python3.11/site-packages/matplotlib/backends/_tkagg.cpython-311-x86_64-linux-gnu.so (unknown line)
cfunction_call at /usr/local/src/conda/python-3.11.4/Objects/methodobject.c:553
_PyObject_MakeTpCall at /usr/local/src/conda/python-3.11.4/Objects/call.c:214
_PyEval_EvalFrameDefault at /usr/local/src/conda/python-3.11.4/Python/ceval.c:4774
_PyEval_EvalFrame at /usr/local/src/conda/python-3.11.4/Include/internal/pycore_ceval.h:73 [inlined]
_PyEval_Vector at /usr/local/src/conda/python-3.11.4/Python/ceval.c:6439 [inlined]
_PyFunction_Vectorcall at /usr/local/src/conda/python-3.11.4/Objects/call.c:393
PythonCmd at /usr/local/src/conda/python-3.11.4/Modules/_tkinter.c:2252
TclNRRunCallbacks at /tmp/jl_GaEsxY/.CondaPkg/env/lib/python3.11/lib-dynload/../../libtcl8.6.so (unknown line)
Tkapp_Call at /usr/local/src/conda/python-3.11.4/Modules/_tkinter.c:1462
method_vectorcall_VARARGS at /usr/local/src/conda/python-3.11.4/Objects/descrobject.c:330
_PyObject_VectorcallTstate at /usr/local/src/conda/python-3.11.4/Include/internal/pycore_call.h:92 [inlined]
PyObject_Vectorcall at /usr/local/src/conda/python-3.11.4/Objects/call.c:299
_PyEval_EvalFrameDefault at /usr/local/src/conda/python-3.11.4/Python/ceval.c:4774
_PyEval_EvalFrame at /usr/local/src/conda/python-3.11.4/Include/internal/pycore_ceval.h:73 [inlined]
_PyEval_Vector at /usr/local/src/conda/python-3.11.4/Python/ceval.c:6439 [inlined]
_PyFunction_Vectorcall at /usr/local/src/conda/python-3.11.4/Objects/call.c:393
do_call_core at /usr/local/src/conda/python-3.11.4/Python/ceval.c:7357 [inlined]
_PyEval_EvalFrameDefault at /usr/local/src/conda/python-3.11.4/Python/ceval.c:5381
_PyEval_EvalFrame at /usr/local/src/conda/python-3.11.4/Include/internal/pycore_ceval.h:73 [inlined]
_PyEval_Vector at /usr/local/src/conda/python-3.11.4/Python/ceval.c:6439 [inlined]
_PyFunction_Vectorcall at /usr/local/src/conda/python-3.11.4/Objects/call.c:393
do_call_core at /usr/local/src/conda/python-3.11.4/Python/ceval.c:7357 [inlined]
_PyEval_EvalFrameDefault at /usr/local/src/conda/python-3.11.4/Python/ceval.c:5381
_PyEval_EvalFrame at /usr/local/src/conda/python-3.11.4/Include/internal/pycore_ceval.h:73 [inlined]
_PyEval_Vector at /usr/local/src/conda/python-3.11.4/Python/ceval.c:6439 [inlined]
_PyFunction_Vectorcall at /usr/local/src/conda/python-3.11.4/Objects/call.c:393 [inlined]
_PyObject_VectorcallTstate at /usr/local/src/conda/python-3.11.4/Include/internal/pycore_call.h:92
method_vectorcall at /usr/local/src/conda/python-3.11.4/Objects/classobject.c:67
PythonCmd at /usr/local/src/conda/python-3.11.4/Modules/_tkinter.c:2252
TclNRRunCallbacks at /tmp/jl_GaEsxY/.CondaPkg/env/lib/python3.11/lib-dynload/../../libtcl8.6.so (unknown line)
AfterProc at /tmp/jl_GaEsxY/.CondaPkg/env/lib/python3.11/lib-dynload/../../libtcl8.6.so (unknown line)
TclServiceIdle at /tmp/jl_GaEsxY/.CondaPkg/env/lib/python3.11/lib-dynload/../../libtcl8.6.so (unknown line)
Tcl_DoOneEvent at /tmp/jl_GaEsxY/.CondaPkg/env/lib/python3.11/lib-dynload/../../libtcl8.6.so (unknown line)
_tkinter_tkapp_dooneevent_impl at /usr/local/src/conda/python-3.11.4/Modules/_tkinter.c:2785 [inlined]
_tkinter_tkapp_dooneevent at /usr/local/src/conda/python-3.11.4/Modules/clinic/_tkinter.c.h:566
cfunction_vectorcall_FASTCALL at /usr/local/src/conda/python-3.11.4/Objects/methodobject.c:427
PyObject_CallObject at /home/sethaxen/.julia/packages/PythonCall/qTEA1/src/cpython/pointers.jl:299 [inlined]
macro expansion at /home/sethaxen/.julia/packages/PythonCall/qTEA1/src/Py.jl:131 [inlined]
pycallargs at /home/sethaxen/.julia/packages/PythonCall/qTEA1/src/abstract/object.jl:210
unknown function (ip: 0x7f4b801c1ea6)
_jl_invoke at /cache/build/default-amdci5-2/julialang/julia-release-1-dot-9/src/gf.c:2758 [inlined]
ijl_apply_generic at /cache/build/default-amdci5-2/julialang/julia-release-1-dot-9/src/gf.c:2940
#pycall#59 at /home/sethaxen/.julia/packages/PythonCall/qTEA1/src/abstract/object.jl:228
_jl_invoke at /cache/build/default-amdci5-2/julialang/julia-release-1-dot-9/src/gf.c:2758 [inlined]
ijl_apply_generic at /cache/build/default-amdci5-2/julialang/julia-release-1-dot-9/src/gf.c:2940
jl_apply at /cache/build/default-amdci5-2/julialang/julia-release-1-dot-9/src/julia.h:1879 [inlined]
do_apply at /cache/build/default-amdci5-2/julialang/julia-release-1-dot-9/src/builtins.c:730
pycall at /home/sethaxen/.julia/packages/PythonCall/qTEA1/src/abstract/object.jl:218
_jl_invoke at /cache/build/default-amdci5-2/julialang/julia-release-1-dot-9/src/gf.c:2758 [inlined]
ijl_apply_generic at /cache/build/default-amdci5-2/julialang/julia-release-1-dot-9/src/gf.c:2940
jl_apply at /cache/build/default-amdci5-2/julialang/julia-release-1-dot-9/src/julia.h:1879 [inlined]
do_apply at /cache/build/default-amdci5-2/julialang/julia-release-1-dot-9/src/builtins.c:730
#_#11 at /home/sethaxen/.julia/packages/PythonCall/qTEA1/src/Py.jl:341
_jl_invoke at /cache/build/default-amdci5-2/julialang/julia-release-1-dot-9/src/gf.c:2758 [inlined]
ijl_apply_generic at /cache/build/default-amdci5-2/julialang/julia-release-1-dot-9/src/gf.c:2940
jl_apply at /cache/build/default-amdci5-2/julialang/julia-release-1-dot-9/src/julia.h:1879 [inlined]
do_apply at /cache/build/default-amdci5-2/julialang/julia-release-1-dot-9/src/builtins.c:730
Py at /home/sethaxen/.julia/packages/PythonCall/qTEA1/src/Py.jl:341
_jl_invoke at /cache/build/default-amdci5-2/julialang/julia-release-1-dot-9/src/gf.c:2758 [inlined]
ijl_apply_generic at /cache/build/default-amdci5-2/julialang/julia-release-1-dot-9/src/gf.c:2940
#9 at /home/sethaxen/.julia/packages/PythonPlot/f591M/src/pygui.jl:199
macro expansion at ./asyncevent.jl:281 [inlined]
#702 at ./task.jl:134
unknown function (ip: 0x7f4b801d59df)
_jl_invoke at /cache/build/default-amdci5-2/julialang/julia-release-1-dot-9/src/gf.c:2758 [inlined]
ijl_apply_generic at /cache/build/default-amdci5-2/julialang/julia-release-1-dot-9/src/gf.c:2940
jl_apply at /cache/build/default-amdci5-2/julialang/julia-release-1-dot-9/src/julia.h:1879 [inlined]
start_task at /cache/build/default-amdci5-2/julialang/julia-release-1-dot-9/src/task.c:1092
Allocations: 10747647 (Pool: 10739903; Big: 7744); GC: 15
Segmentation fault (core dumped)

If plotting to this axis is not supported, it would be much better to throw an error.

Environment

julia> versioninfo()
Julia Version 1.9.2
Commit e4ee485e909 (2023-07-05 09:39 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: 8 × 11th Gen Intel(R) Core(TM) i5-1135G7 @ 2.40GHz
  WORD_SIZE: 64
  LIBM: libopenlibm
  LLVM: libLLVM-14.0.6 (ORCJIT, tigerlake)
  Threads: 8 on 8 virtual cores
Environment:
  JULIA_CMDSTAN_HOME = /home/sethaxen/software/cmdstan/2.30.1/
  JULIA_NUM_THREADS = auto
  JULIA_EDITOR = code

(jl_jbDJBf) pkg> st
Status `/tmp/jl_jbDJBf/Project.toml`
  [274fc56d] PythonPlot v1.0.2
Lingua principale
Julia
Stelle
85
Fork
9
Metriche di merge delle PR
Nessuna PR unita negli ultimi 30g

Preparare l'ambiente

Questo progetto non fornisce container di sviluppo, Dockerfile né guida per i contributori, quindi l'ambiente è a tuo carico: parti dal suo README e consulta la nostra guida al primo contributo per i passaggi generali.

Come iniziare

  1. Leggi tutta la issue e poi la guida ai contributi del progetto.
  2. Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
  3. Fai un fork del repository e lavora su un branch.
  4. Apri una pull request che faccia riferimento al numero della issue.

Altre issue di JuliaPy/PythonPlot.jl

Tutte le issue di JuliaPy/PythonPlot.jl

Issue simili

Altre issue su Julia

Ricevi le nuove issue nella tua casella

Un breve riepilogo di issue GitHub adatte ai principianti.