Troubles when expanding self object during debug in constructor

[ibobak]

Type: Bug

Behaviour

When I am debugging a constructor of the object and in that debug session I am trying to expand "self" in the watch window, the python process crashes,

Steps to reproduce:

1. install anaconda
2. create a new environment
3. pip install catboost
4. create a new notebook, make a single cell with this code

from catboost import CatBoostRegressor, Pool
# Initialize data

train_data = [[1, 4, 5, 6],
              [4, 5, 6, 7],
              [30, 40, 50, 60]]

eval_data = [[2, 4, 6, 8],
             [1, 4, 50, 60]]

train_labels = [10, 20, 30]

p = Pool(data=train_data, label=train_labels)

# Initialize CatBoostRegressor
model = CatBoostRegressor(iterations=2,
                          learning_rate=1,
                          depth=2)
# Fit model
model.fit(train_data, train_labels)
# Get predictions
preds = model.predict(eval_data)

5. Put a brakpoint on line

p = Pool(data=train_data, label=train_labels)

6. "Go to definition" for Pool, you will be redirected to Pool class, inside this class put a breakpoint on the firtst line

with log_fixup(log_cout, log_cerr):

7. Debug this cell.
8. As soon as your debugging line is this "with log_fixup(log_cout, log_cerr)", open the "self" object
   
   

Diagnostic data

launch.json configuration

XXX

Output for Python in the Output panel (View→Output, change the drop-down the upper-right of the Output panel to Python)

XXX

Output for Python Debugger in the Output panel (View→Output, change the drop-down the upper-right of the Output panel to Python Debugger)

XXX

Extension version: 2024.6.0
VS Code version: Code 1.90.2 (5437499feb04f7a586f677b155b039bc2b3669eb, 2024-06-18T22:33:48.698Z)
OS version: Linux x64 6.4.6-060406-generic
Modes:

• Python version (& distribution if applicable, e.g. Anaconda): 3.11.9
• Type of virtual environment used (e.g. conda, venv, virtualenv, etc.): Conda

System Info

Item	Value
CPUs	Intel(R) Xeon(R) CPU E5-2696 v4 @ 2.20GHz (88 x 2706)
GPU Status	2d_canvas: enabled canvas_oop_rasterization: disabled_off direct_rendering_display_compositor: disabled_off_ok gpu_compositing: enabled multiple_raster_threads: enabled_on opengl: enabled_on rasterization: enabled raw_draw: disabled_off_ok skia_graphite: disabled_off video_decode: enabled video_encode: disabled_software vulkan: disabled_off webgl: enabled webgl2: enabled webgpu: disabled_off
Load (avg)	17, 21, 14
Memory (System)	251.76GB (41.57GB free)
Process Argv	--crash-reporter-id 27d42247-63fb-4d9e-9cb0-87d9974843dc
Screen Reader	no
VM	50%
DESKTOP_SESSION	ubuntu-xorg
XDG_CURRENT_DESKTOP	Unity
XDG_SESSION_DESKTOP	ubuntu-xorg
XDG_SESSION_TYPE	x11

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legacy_priority:31077528

[rchiodo]

Thanks for the issue. I can repro without a notebook too. Retrieving the value for cat_features is causing pydevd to crash.

[rchiodo]

Here's the logs from my crash:
debugpy.server-11776.zip

[ibobak]

Rich, if you tell me how to get the logs, next time I will know how to do this and will attach them.

[rchiodo]

I'm actually not sure how to do it when jupyter debugging, but if you're using a launch.json (for a python file), it's a setting:

        {
            "name": "Python Debugger: Current File",
            "type": "debugpy",
            "request": "launch",
            "program": "${file}",
            "console": "integratedTerminal",
            "logToFile": true, // This setting
            "justMyCode": false
        }

It writes the logs to where the python debugger extension is installed. In my case, that's here:

C:\Users\rchiodo.vscode\extensions\ms-python.debugpy-2024.7.11591013-win32-x64