Debugger doesn't work with a specific Conda Environment

[ttopac]

I am not sure what change I made triggered, but I can no longer debug within a certain Conda environment, neither using the "Run and Debug" pane nor via Jupyter.

With the Debug pane, the loading bar goes halfway and nothing happens. Debug terminal also doesn't open. With debug cell in Jupyter, I get a Runtime Error message in the interactive window and the following in the Jupyter log.

As I mentioned, this only happens with one specific Conda environment. Everything else seems to be working fine within the environment. I've tried using different Python extension versions, restarting my computer, and defaulting Python extension settings, but none seemed to have worked.

Jupyter log (apologies but the nonstandard characters in the output are messing up the code block):
`error 21:34:55.129: Execute_request failure enabling debugging for IW import debugpy;debugpy.listen(('localhost', 0)) RuntimeError: timed out waiting for adapter to connect
�[0;31m---------------------------------------------------------------------------�[0m
�[0;31mtimeout�[0m Traceback (most recent call last)
File �[0;32m~/miniconda3/envs/python39_tf/lib/python3.9/site-packages/debugpy/server/api.py:218�[0m, in �[0;36mlisten�[0;34m(address, settrace_kwargs)�[0m
�[1;32m 217�[0m �[38;5;28;01mtry�[39;00m:
�[0;32m--> 218�[0m sock, _ �[38;5;241m=�[39m �[43mendpoints_listener�[49m�[38;5;241;43m.�[39;49m�[43maccept�[49m�[43m(�[49m�[43m)�[49m
�[1;32m 219�[0m �[38;5;28;01mtry�[39;00m:

File �[0;32m~/miniconda3/envs/python39_tf/lib/python3.9/socket.py:293�[0m, in �[0;36msocket.accept�[0;34m(self)�[0m

�[1;32m 287�[0m �[38;5;124;03m"""accept() -> (socket object, address info)�[39;00m
�[1;32m 288�[0m
�[1;32m 289�[0m �[38;5;124;03mWait for an incoming connection. Return a new socket�[39;00m
�[1;32m 290�[0m �[38;5;124;03mrepresenting the connection, and the address of the client.�[39;00m
�[1;32m 291�[0m �[38;5;124;03mFor IP sockets, the address info is a pair (hostaddr, port).�[39;00m
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�[1;32m 294�[0m sock �[38;5;241m=�[39m socket(�[38;5;28mself�[39m�[38;5;241m.�[39mfamily, �[38;5;28mself�[39m�[38;5;241m.�[39mtype, �[38;5;28mself�[39m�[38;5;241m.�[39mproto, fileno�[38;5;241m=�[39mfd)

�[0;31mtimeout�[0m: timed out

During handling of the above exception, another exception occurred:

�[0;31mRuntimeError�[0m                              Traceback (most recent call last)
Cell �[0;32mIn[1], line 1�[0m

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File �[0;32m~/miniconda3/envs/python39_tf/lib/python3.9/site-packages/debugpy/__init__.py:113�[0m, in �[0;36mlisten�[0;34m(address)�[0m

�[1;32m 94�[0m �[38;5;124;03m"""Starts a debug adapter debugging this process, that listens for�[39;00m
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File �[0;32m~/miniconda3/envs/python39_tf/lib/python3.9/site-packages/debugpy/server/api.py:143�[0m, in �[0;36m_starts_debugging.<locals>.debug�[0;34m(address, **kwargs)�[0m

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�[0;31mRuntimeError�[0m: timed out waiting for adapter to connect

error 21:34:55.129: Error in execution (get message for cell) [o [Error]: RuntimeError
at b.connectToLocal (/Users/tanay/.vscode/extensions/ms-toolsai.jupyter-2022.11.1003412109/out/extension.node.js:2:1605659)
at process.processTicksAndRejections (node:internal/process/task_queues:96:5)
at async b.connect (/Users/tanay/.vscode/extensions/ms-toolsai.jupyter-2022.11.1003412109/out/extension.node.js:2:1604020)
at async b.startDebugSession (/Users/tanay/.vscode/extensions/ms-toolsai.jupyter-2022.11.1003412109/out/extension.node.js:2:1603163)
at async z.createExecutionPromise (/Users/tanay/.vscode/extensions/ms-toolsai.jupyter-2022.11.1003412109/out/extension.node.js:2:1695955)] {
category: 'notinstalled',
kernelConnectionMetadata: f {
kind: 'startUsingPythonInterpreter',
kernelSpec: {
specFile: '/Users/tanay/.vscode/extensions/ms-toolsai.jupyter-2022.11.1003412109/temp/jupyter/kernels/pythonjvsc74a57bd09e459d461750e0ad0dd48f0512403b45939cf5739455aca8620f655ec5e30e13/kernel.json',
interpreterPath: '/Users/tanay/miniconda3/envs/python39_tf/bin/python',
isRegisteredByVSC: 'registeredByNewVersionOfExt',
name: 'pythonjvsc74a57bd09e459d461750e0ad0dd48f0512403b45939cf5739455aca8620f655ec5e30e13',
argv: [Array],
language: 'python',
executable: 'python',
display_name: 'python39_tf',
metadata: [Object],
env: {},
interrupt_mode: undefined
},
interpreter: {
id: '/Users/tanay/miniconda3/envs/python39_tf/bin/python',
sysPrefix: '/Users/tanay/miniconda3/envs/python39_tf',
envPath: [d],
displayPath: [d],
envName: 'python39_tf',
uri: [d],
displayName: 'python39_tf',
envType: 'Conda',
version: [Object]
},
id: '.jvsc74a57bd09e459d461750e0ad0dd48f0512403b45939cf5739455aca8620f655ec5e30e13./Users/tanay/miniconda3/envs/python39_tf/python./Users/tanay/miniconda3/envs/python39_tf/python.-m#ipykernel_launcher'
}
}
warn 21:34:55.130: DataScience Error [o [Error]: RuntimeError
at b.connectToLocal (/Users/tanay/.vscode/extensions/ms-toolsai.jupyter-2022.11.1003412109/out/extension.node.js:2:1605659)
at process.processTicksAndRejections (node:internal/process/task_queues:96:5)
at async b.connect (/Users/tanay/.vscode/extensions/ms-toolsai.jupyter-2022.11.1003412109/out/extension.node.js:2:1604020)
at async b.startDebugSession (/Users/tanay/.vscode/extensions/ms-toolsai.jupyter-2022.11.1003412109/out/extension.node.js:2:1603163)
at async z.createExecutionPromise (/Users/tanay/.vscode/extensions/ms-toolsai.jupyter-2022.11.1003412109/out/extension.node.js:2:1695955)] {
category: 'notinstalled',
kernelConnectionMetadata: f {
kind: 'startUsingPythonInterpreter',
kernelSpec: {
specFile: '/Users/tanay/.vscode/extensions/ms-toolsai.jupyter-2022.11.1003412109/temp/jupyter/kernels/pythonjvsc74a57bd09e459d461750e0ad0dd48f0512403b45939cf5739455aca8620f655ec5e30e13/kernel.json',
interpreterPath: '/Users/tanay/miniconda3/envs/python39_tf/bin/python',
isRegisteredByVSC: 'registeredByNewVersionOfExt',
name: 'pythonjvsc74a57bd09e459d461750e0ad0dd48f0512403b45939cf5739455aca8620f655ec5e30e13',
argv: [Array],
language: 'python',
executable: 'python',
display_name: 'python39_tf',
metadata: [Object],
env: {},
interrupt_mode: undefined
},
interpreter: {
id: '/Users/tanay/miniconda3/envs/python39_tf/bin/python',
sysPrefix: '/Users/tanay/miniconda3/envs/python39_tf',
envPath: [d],
displayPath: [d],
envName: 'python39_tf',
uri: [d],
displayName: 'python39_tf',
envType: 'Conda',
version: [Object]
},
id: '.jvsc74a57bd09e459d461750e0ad0dd48f0512403b45939cf5739455aca8620f655ec5e30e13./Users/tanay/miniconda3/envs/python39_tf/python./Users/tanay/miniconda3/envs/python39_tf/python.-m#ipykernel_launcher'
}
}`

[brettcannon]

It looks like your code is taking too long to start up, so VS Code is timing out trying to connect to it (it's really hard to read the output, so this unfortunately a partial guess based on what I can make out). You can try following the suggestions in https://code.visualstudio.com/docs/python/debugging#_troubleshooting or start your code up in an attach situation and then have the debugger attach to it when it's already running. Otherwise if it's Jupyter-specific you can ask at https://github.com/microsoft/vscode-jupyter .

[ttopac]

Thank you, however, I'm getting the exact same behavior even with trivial codes and with non-jupyter debugging settings.

I checked the troubleshooting steps in the linked page, but nothing fixed it.

I doubt this has something to do with the specific environment I'm in, but I couldn't figure out how to fix the issue with the environment.

[brettcannon]

I'm getting the exact same behavior even with trivial codes

What's "trivial code" in this instance? print("Hello, world!")?

with non-jupyter debugging settings

As in you're not using Jupyter at all and just the Python interpreter directly?

I doubt this has something to do with the specific environment I'm in,

Have you tried using a different environment? Or tried not using conda? We are not getting any specific reports of this being a widespread issue, so I'm trying to find out what may be unique about your situation to be causing this.

[ttopac]

What's "trivial code" in this instance? print("Hello, world!")?

Yes, the debugger doesn't launch even with print ("Hello, world!").

As in you're not using Jupyter at all and just the Python interpreter directly?

Yes. With or without Jupyter, debugger doesn't launch in this specific Conda environment.

Have you tried using a different environment?

Yes. The debugger works fine in any other environment (including other Conda environments).

[brettcannon]

OK, this seems to be a unique enough situation to warrant an issue. Would you mind following the instructions at https://aka.ms/pvsc-bug to create an issue?