%matplotlib osx crashses
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還沒有人認領這個 Issue。
評估
- 難度
- 4/5
- 預估耗時
- 3-5 天
- 新手友好度
- 30/100
研究方向
先在 macOS Ventura 上使用回報的 Python、IPython、Jupyter console 和 PyQt 版本重現 %matplotlib osx，然後比較此處及所連結 issue 中描述的 IPython 和 Jupyter console 行為。當命令不再當機，且預期的互動式繪圖行為獲得恢復，或清楚記錄該限制時，即表示完成。
由索引模型根據 Issue 內容生成。
描述
See https://github.com/jupyter/jupyter_console/issues/294 and https://github.com/jupyterlab/jupyterlab/issues/14653
Original reporter is @ubaldot
Output of %matplotlib osx gives the following error message:
2023-05-03 19:46:24.850 python[46916:7042851] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647
2023-05-03 19:46:24.852 python[46916:7042851] *** Terminating app due to uncaught exception 'NSInternalInconsistencyException', reason: 'Invalid parameter not satisfying: _NSEventMask64FromType(type) & WeirdMask'
*** First throw call stack:
(
0 CoreFoundation 0x00000001aa69319c __exceptionPreprocess + 176
1 libobjc.A.dylib 0x00000001aa1b24d4 objc_exception_throw + 60
2 Foundation 0x00000001ab645b88 -[NSCalendarDate initWithCoder:] + 0
3 AppKit 0x00000001ad9dad50 +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:] + 264
4 libffi.8.dylib 0x0000000105ac404c ffi_call_SYSV + 76
5 libffi.8.dylib 0x0000000105ac1790 ffi_call_int + 1256
6 _ctypes.cpython-310-darwin.so 0x0000000105aa4a30 _ctypes_callproc + 1324
7 _ctypes.cpython-310-darwin.so 0x0000000105a9ebf8 PyCFuncPtr_call + 1160
8 python3.10 0x0000000104ed2294 _PyObject_MakeTpCall + 612
9 python3.10 0x0000000104fc10f0 call_function + 676
10 python3.10 0x0000000104fbce58 _PyEval_EvalFrameDefault + 26500
11 python3.10 0x0000000104fb5dc8 _PyEval_Vector + 2056
12 python3.10 0x0000000104fc1058 call_function + 524
13 python3.10 0x0000000104fbce58 _PyEval_EvalFrameDefault + 26500
14 python3.10 0x0000000104fb5dc8 _PyEval_Vector + 2056
15 _ctypes.cpython-310-darwin.so 0x0000000105aa2e0c closure_fcn + 644
16 libffi.8.dylib 0x0000000105ac1b6c ffi_closure_SYSV_inner + 796
17 libffi.8.dylib 0x0000000105ac41d4 ffi_closure_SYSV + 52
18 CoreFoundation 0x00000001aa63448c __CFRUNLOOP_IS_CALLING_OUT_TO_A_TIMER_CALLBACK_FUNCTION__ + 32
19 CoreFoundation 0x00000001aa634134 __CFRunLoopDoTimer + 940
20 CoreFoundation 0x00000001aa633c8c __CFRunLoopDoTimers + 356
21 CoreFoundation 0x00000001aa61941c __CFRunLoopRun + 1852
22 CoreFoundation 0x00000001aa61858c CFRunLoopRunSpecific + 612
23 HIToolbox 0x00000001b3e4ddf4 RunCurrentEventLoopInMode + 292
24 HIToolbox 0x00000001b3e4dc30 ReceiveNextEventCommon + 648
25 HIToolbox 0x00000001b3e4d988 _BlockUntilNextEventMatchingListInModeWithFilter + 76
26 AppKit 0x00000001ad837f58 _DPSNextEvent + 636
27 AppKit 0x00000001ad8370f4 -[NSApplication(NSEvent) _nextEventMatchingEventMask:untilDate:inMode:dequeue:] + 716
28 AppKit 0x00000001ad82b558 -[NSApplication run] + 464
29 libffi.8.dylib 0x0000000105ac404c ffi_call_SYSV + 76
30 libffi.8.dylib 0x0000000105ac1790 ffi_call_int + 1256
31 _ctypes.cpython-310-darwin.so 0x0000000105aa4a30 _ctypes_callproc + 1324
32 _ctypes.cpython-310-darwin.so 0x0000000105a9ebf8 PyCFuncPtr_call + 1160
33 python3.10 0x0000000104ed2294 _PyObject_MakeTpCall + 612
34 python3.10 0x0000000104fc10f0 call_function + 676
35 python3.10 0x0000000104fbce58 _PyEval_EvalFrameDefault + 26500
36 python3.10 0x0000000104fb5dc8 _PyEval_Vector + 2056
37 python3.10 0x0000000104fc1058 call_function + 524
38 python3.10 0x0000000104fbce58 _PyEval_EvalFrameDefault + 26500
39 python3.10 0x0000000104fb5dc8 _PyEval_Vector + 2056
40 python3.10 0x0000000104fc1058 call_function + 524
41 python3.10 0x0000000104fbce58 _PyEval_EvalFrameDefault + 26500
42 python3.10 0x0000000104fb5dc8 _PyEval_Vector + 2056
43 python3.10 0x000000010506ab04 partial_vectorcall + 396
44 python3.10 0x0000000104fc1058 call_function + 524
45 python3.10 0x0000000104fbce58 _PyEval_EvalFrameDefault + 26500
46 python3.10 0x0000000104fb5dc8 _PyEval_Vector + 2056
47 python3.10 0x0000000104ed5aac method_vectorcall + 516
48 python3.10 0x0000000104fd9b78 context_run + 348
49 python3.10 0x0000000104f258a8 cfunction_vectorcall_FASTCALL_KEYWORDS + 112
50 python3.10 0x0000000104fbd160 _PyEval_EvalFrameDefault + 27276
51 python3.10 0x0000000104fb5dc8 _PyEval_Vector + 2056
52 python3.10 0x0000000104fc1058 call_function + 524
53 python3.10 0x0000000104fbcdc0 _PyEval_EvalFrameDefault + 26348
54 python3.10 0x0000000104fb5dc8 _PyEval_Vector + 2056
55 python3.10 0x0000000104fc1058 call_function + 524
56 python3.10 0x0000000104fbcdc0 _PyEval_EvalFrameDefault + 26348
57 python3.10 0x0000000104fb5dc8 _PyEval_Vector + 2056
58 python3.10 0x0000000104fc1058 call_function + 524
59 python3.10 0x0000000104fbcdc0 _PyEval_EvalFrameDefault + 26348
60 python3.10 0x0000000104fb5dc8 _PyEval_Vector + 2056
61 python3.10 0x0000000104fc1058 call_function + 524
62 python3.10 0x0000000104fbcdc0 _PyEval_EvalFrameDefault + 26348
63 python3.10 0x0000000104fb5dc8 _PyEval_Vector + 2056
64 python3.10 0x0000000104fc1058 call_function + 524
65 python3.10 0x0000000104fbcdc0 _PyEval_EvalFrameDefault + 26348
66 python3.10 0x0000000104fb5dc8 _PyEval_Vector + 2056
67 python3.10 0x0000000104ed594c method_vectorcall + 164
68 python3.10 0x0000000104fc1058 call_function + 524
69 python3.10 0x0000000104fbcde8 _PyEval_EvalFrameDefault + 26388
70 python3.10 0x0000000104fb5dc8 _PyEval_Vector + 2056
71 python3.10 0x0000000104fb5590 PyEval_EvalCode + 120
72 python3.10 0x0000000104fb1108 builtin_exec + 836
73 python3.10 0x0000000104f259e4 cfunction_vectorcall_FASTCALL + 200
74 python3.10 0x0000000104fc1058 call_function + 524
75 python3.10 0x0000000104fbce58 _PyEval_EvalFrameDefault + 26500
76 python3.10 0x0000000104fb5dc8 _PyEval_Vector + 2056
77 python3.10 0x0000000104fc1058 call_function + 524
78 python3.10 0x0000000104fbce58 _PyEval_EvalFrameDefault + 26500
79 python3.10 0x0000000104fb5dc8 _PyEval_Vector + 2056
80 python3.10 0x0000000105035164 pymain_run_module + 272
81 python3.10 0x00000001050347a0 Py_RunMain + 1584
82 python3.10 0x0000000105035c50 pymain_main + 1272
83 python3.10 0x0000000104e7c00c main + 56
84 dyld 0x00000001aa1e3f28 start + 2236
)
libc++abi: terminating due to uncaught exception of type NSException
/Users/ubaldot/opt/miniconda3/envs/myenv/lib/python3.10/site-packages/jupyter_console/ptshell.py:787: UserWarning: The kernel did not respond to an is_complete_request. Setting `use_kernel_is_complete` to False.
warn('The kernel did not respond to an is_complete_request. '
I tried to run %matplotlib` both in a IPython and a Jupyter console, getting the following outputs:
Using matplotlib backend: MacOSX(IPython)Using matplotlib backend: <object object at 0x104853730>(Jupyter console)
the consequence is that plots in IPython are interactive whereas plots in Jupyter console are rendered as a simple .png.
Example code follows if you want to test:
import matplotlib.pyplot as plt
import matplotlib
x = list(range(1,5))
y = list(map(lambda x: x**2, x))
plt.plot(x,y)
I am running Jupyter console 6.6.3, Python 3.10.8, IPython 8.12.0 with pyqt 5.51.7 installed through conda on Mac Os Ventura.
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