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VSCode interactive mode "disconnects" from kernel periodically #16369

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1 of 2 tasks
colehaus opened this issue Jan 10, 2025 · 1 comment
Open
1 of 2 tasks

VSCode interactive mode "disconnects" from kernel periodically #16369

colehaus opened this issue Jan 10, 2025 · 1 comment
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@DonJayamanne
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bug Issue identified by VS Code Team member as probable bug

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@colehaus
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colehaus commented Jan 10, 2025 •
edited
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Applies To

  • Notebooks (.ipynb files)
  • Interactive Window and/or Cell Scripts (.py files with #%% markers)

What happened?

Every so often—often within 10 minutes—the interactive window seems to "disconnect" from the running Jupyter kernel. Any additional attempts to execute cells just queue up and do nothing (see screenshot). Hitting the restart button brings up the UI elements associated with restarting the kernel but that process continues indefinitely and never completes.

Image

I'm pretty confident the issue is not with Jupyter since I can connect to initial kernel from the Jupyter Lab web interface and everything works normally. The kernel remains available from Jupyter Lab even after hitting restart in VSCode.

I did not used to have this issue with earlier versions of VSCode and the extension (though I don't know ATM exactly which version the problem first appears).

The disconnection occurs right around the time of the repeated "CodeLensFactory" lines at the end of the log. Nothing other actions show up in the log once in this "disconnected" state except for the kernel restart request.

(The VSCode version pasted below is 1.95.3, but I get the same behavior with 1.96.0 and 1.96.2. I was also using 2024.11.0 of the extension then and still had the problem.)

VS Code Version

Version: 1.95.3 Commit: f1a4fb101478ce6ec82fe9627c43efbf9e98c813 Date: 2024-11-13T14:50:04.152Z Electron: 32.2.1 ElectronBuildId: 10427718 Chromium: 128.0.6613.186 Node.js: 20.18.0 V8: 12.8.374.38-electron.0 OS: Linux x64 6.6.64

Jupyter Extension Version

2024.10.0

Jupyter logs

11:51:13.179 [info] Starting Kernel (Python 3 (ipykernel)) for '/Interactive-1.interactive' (disableUI=false)
11:51:14.006 [warn] Password for http://localhost:8080/ was invalid.
11:51:14.527 [info] http://localhost:8080/: Kernel started: 0bb5235a-b5db-4db3-ad2e-d832fb33c7a0
11:51:14.998 [info] Started session for kernel startUsingRemoteKernelSpec:cff860c0f77ba501557c510bf961253f9c64cbff4fe03051291853eb1c87167a..python3./python./.-m#ipykernel_launcher
11:51:15.698 [info] Kernel successfully started
11:51:16.028 [warn] Disposing old controller connectToLiveRemoteKernel:'69e69796-291f-4f3e-ae07-8a403689f54b' for view = 'jupyter-notebook'
11:51:16.029 [warn] Disposing old controller connectToLiveRemoteKernel:'69e69796-291f-4f3e-ae07-8a403689f54b (Interactive)' for view = 'interactive'
11:51:16.133 [warn] Password for http://localhost:8080/ was invalid.
11:51:16.237 [error] Error fetching kernels from http://localhost:8080/ (localhost): i [Error]: Forbidden
    at Function.create (/home/~/.vscode/extensions/ms-toolsai.jupyter-2024.10.0-linux-x64/dist/node_modules/@jupyterlab/services.js:11:650)
    at processTicksAndRejections (node:internal/process/task_queues:95:5)
    at Object.Of [as listRunning] (/home/~/.vscode/extensions/ms-toolsai.jupyter-2024.10.0-linux-x64/dist/node_modules/@jupyterlab/services.js:11:43016)
    at n.getRunningKernels (/home/~/.vscode/extensions/ms-toolsai.jupyter-2024.10.0-linux-x64/dist/extension.node.js:181:18447)
    at async Promise.all (index 0)
    at VD.listKernelsFromConnection (/home/~/.vscode/extensions/ms-toolsai.jupyter-2024.10.0-linux-x64/dist/extension.node.js:282:19672)
    at /home/~/.vscode/extensions/ms-toolsai.jupyter-2024.10.0-linux-x64/dist/extension.node.js:282:18405 {
  response: p [Response] {
    size: 0,
    timeout: 0,
    [Symbol(Body internals)]: { body: [PassThrough], disturbed: true, error: null },
    [Symbol(Response internals)]: {
      url: 'http://localhost:8080/api/kernels?1736538676133',
      status: 403,
      statusText: 'Forbidden',
      headers: [p [Headers]],
      counter: 0
    }
  },
  traceback: ''
}
11:51:16.259 [error] Jupyter Lab Helper:getKernelSpecs failure:  Error: Poll (@jupyterlab/services:KernelSpecManager#specs) is disposed.
    at i.dispose (/home/~/.vscode/extensions/ms-toolsai.jupyter-2024.10.0-linux-x64/dist/node_modules/@jupyterlab/services.js:11:35855)
    at Kr.dispose (/home/~/.vscode/extensions/ms-toolsai.jupyter-2024.10.0-linux-x64/dist/node_modules/@jupyterlab/services.js:11:75419)
    at /home/~/.vscode/extensions/ms-toolsai.jupyter-2024.10.0-linux-x64/dist/extension.node.js:181:17985
    at processTicksAndRejections (node:internal/process/task_queues:95:5)
11:51:16.644 [warn] Password for http://localhost:8080/ was invalid.
11:51:16.765 [error] Error fetching kernels from http://localhost:8080/ (localhost): i [Error]: Forbidden
    at Function.create (/home/~/.vscode/extensions/ms-toolsai.jupyter-2024.10.0-linux-x64/dist/node_modules/@jupyterlab/services.js:11:650)
    at processTicksAndRejections (node:internal/process/task_queues:95:5)
    at Object.Of [as listRunning] (/home/~/.vscode/extensions/ms-toolsai.jupyter-2024.10.0-linux-x64/dist/node_modules/@jupyterlab/services.js:11:43016)
    at n.getRunningKernels (/home/~/.vscode/extensions/ms-toolsai.jupyter-2024.10.0-linux-x64/dist/extension.node.js:181:18447)
    at async Promise.all (index 0)
    at VD.listKernelsFromConnection (/home/~/.vscode/extensions/ms-toolsai.jupyter-2024.10.0-linux-x64/dist/extension.node.js:282:19672)
    at /home/~/.vscode/extensions/ms-toolsai.jupyter-2024.10.0-linux-x64/dist/extension.node.js:282:18405 {
  response: p [Response] {
    size: 0,
    timeout: 0,
    [Symbol(Body internals)]: { body: [PassThrough], disturbed: true, error: null },
    [Symbol(Response internals)]: {
      url: 'http://localhost:8080/api/kernels?1736538676645',
      status: 403,
      statusText: 'Forbidden',
      headers: [p [Headers]],
      counter: 0
    }
  },
  traceback: ''
}
11:51:16.766 [error] Jupyter Lab Helper:getKernelSpecs failure:  Error: Poll (@jupyterlab/services:KernelSpecManager#specs) is disposed.
    at i.dispose (/home/~/.vscode/extensions/ms-toolsai.jupyter-2024.10.0-linux-x64/dist/node_modules/@jupyterlab/services.js:11:35855)
    at Kr.dispose (/home/~/.vscode/extensions/ms-toolsai.jupyter-2024.10.0-linux-x64/dist/node_modules/@jupyterlab/services.js:11:75419)
    at /home/~/.vscode/extensions/ms-toolsai.jupyter-2024.10.0-linux-x64/dist/extension.node.js:181:17985
    at processTicksAndRejections (node:internal/process/task_queues:95:5)
11:51:16.766 [warn] Could not fetch kernels from the remote server, falling back to cache: Error: Forbidden
11:53:02.137 [debug] CodeLensFactory: Generating new code lenses for version 1 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:53:17.984 [info] Generated code for 1 = <ipython-input-1-7d2e8dff9557> with 542 lines
11:53:17.989 [trace] Cell Index:34 sent to kernel
11:53:18.130 [trace] Start cell 34 execution @ 1736538798129 (clear output)
11:53:18.130 [debug] Kernel acknowledged execution of cell 34 @ 1736538798129
11:53:20.060 [trace] Cell 34 completed in 1.931s (start: 1736538798129, end: 1736538800060)
11:53:20.060 [trace] Cell 34 executed successfully
11:53:25.778 [debug] CodeWatcher::runCell, Class name = qt (started execution)
11:53:25.781 [info] Generated code for 2 = <ipython-input-2-6bc420862092> with 13 lines
11:53:25.783 [trace] Cell Index:35 sent to kernel
11:53:25.935 [trace] Start cell 35 execution @ 1736538805935 (clear output)
11:53:25.935 [debug] Kernel acknowledged execution of cell 35 @ 1736538805935
11:54:23.313 [warn] Cell completed with errors iu [Error]: stack requires ndarray or scalar arguments, got <class 'NoneType'> at position 3.
    at n.execute (/home/~/.vscode/extensions/ms-toolsai.jupyter-2024.10.0-linux-x64/dist/extension.node.js:297:4958)
    at processTicksAndRejections (node:internal/process/task_queues:95:5) {
  ename: 'TypeError',
  evalue: "stack requires ndarray or scalar arguments, got <class 'NoneType'> at position 3.",
  traceback: [
    '\x1B[0;31m---------------------------------------------------------------------------\x1B[0m',
    '\x1B[0;31mTypeError\x1B[0m                                 Traceback (most recent call last)',
    'Cell \x1B[0;32mIn[4], line 12\x1B[0m\n' +
      '\x1B[1;32m     10\x1B[0m mesh \x1B[38;5;241m=\x1B[39m summon_mesh()\n' +
      '\x1B[1;32m     11\x1B[0m data_sharding \x1B[38;5;241m=\x1B[39m jax\x1B[38;5;241m.\x1B[39msharding\x1B[38;5;241m.\x1B[39mNamedSharding(mesh, PSpec(mesh\x1B[38;5;241m.\x1B[39maxis_names, \x1B[38;5;28;01mNone\x1B[39;00m))\n' +
      '\x1B[0;32m---> 12\x1B[0m \x1B[43mrun_benchmarks\x1B[49m\x1B[43m(\x1B[49m\x1B[43mptg\x1B[49m\x1B[43m,\x1B[49m\x1B[43m \x1B[49m\x1B[43mtkn\x1B[49m\x1B[43m,\x1B[49m\x1B[43m \x1B[49m\x1B[43mdata_sharding\x1B[49m\x1B[43m,\x1B[49m\x1B[43m \x1B[49m\x1B[43mverbosity\x1B[49m\x1B[38;5;241;43m=\x1B[39;49m\x1B[38;5;124;43m"\x1B[39;49m\x1B[38;5;124;43mna\x1B[39;49m\x1B[38;5;124;43m"\x1B[39;49m\x1B[43m)\x1B[49m\n',
    'Cell \x1B[0;32mIn[3], line 525\x1B[0m, in \x1B[0;36mrun_benchmarks\x1B[0;34m(gemma, tkn, data_sharding, verbosity)\x1B[0m\n' +
      '\x1B[1;32m    523\x1B[0m benchmark \x1B[38;5;241m=\x1B[39m ft\x1B[38;5;241m.\x1B[39mpartial(benchmark, verbosity\x1B[38;5;241m=\x1B[39mverbosity)  \x1B[38;5;66;03m# noqa: PLW2901\x1B[39;00m\n' +
      '\x1B[1;32m    524\x1B[0m \x1B[38;5;28mprint\x1B[39m(name)\n' +
      '\x1B[0;32m--> 525\x1B[0m res \x1B[38;5;241m=\x1B[39m \x1B[43mbenchmark\x1B[49m\x1B[43m(\x1B[49m\x1B[43minference_helper_with_logits\x1B[49m\x1B[43m(\x1B[49m\x1B[43mgemma\x1B[49m\x1B[43m,\x1B[49m\x1B[43m \x1B[49m\x1B[43mtkn\x1B[49m\x1B[43m,\x1B[49m\x1B[43m \x1B[49m\x1B[43mdata_sharding\x1B[49m\x1B[38;5;241;43m=\x1B[39;49m\x1B[43mdata_sharding\x1B[49m\x1B[43m)\x1B[49m\x1B[43m,\x1B[49m\x1B[43m \x1B[49m\x1B[43mtkn\x1B[49m\x1B[43m)\x1B[49m\n' +
      '\x1B[1;32m    526\x1B[0m \x1B[38;5;28mprint\x1B[39m(res)\n',
    'Cell \x1B[0;32mIn[3], line 194\x1B[0m, in \x1B[0;36mmmlu\x1B[0;34m(gemma, tkn, num_problems, verbosity)\x1B[0m\n' +
      '\x1B[1;32m    187\x1B[0m \x1B[38;5;28;01mdef\x1B[39;00m \x1B[38;5;21mmmlu\x1B[39m(\n' +
      '\x1B[1;32m    188\x1B[0m     gemma: ModelFuncWLogits,\n' +
      '\x1B[1;32m    189\x1B[0m     tkn: spm\x1B[38;5;241m.\x1B[39mSentencePieceProcessor[Fin[VocabSize]],\n' +
      '\x1B[0;32m   (...)\x1B[0m\n' +
      '\x1B[1;32m    192\x1B[0m     verbosity: Verbosity \x1B[38;5;241m=\x1B[39m \x1B[38;5;124m"\x1B[39m\x1B[38;5;124mlight\x1B[39m\x1B[38;5;124m"\x1B[39m,\n' +
      '\x1B[1;32m    193\x1B[0m ):\n' +
      '\x1B[0;32m--> 194\x1B[0m     \x1B[38;5;28;01mreturn\x1B[39;00m \x1B[43mbenchmark\x1B[49m\x1B[43m(\x1B[49m\n' +
      '\x1B[1;32m    195\x1B[0m \x1B[43m        \x1B[49m\x1B[43mgemma\x1B[49m\x1B[43m,\x1B[49m\n' +
      '\x1B[1;32m    196\x1B[0m \x1B[43m        \x1B[49m\x1B[43mtkn\x1B[49m\x1B[43m,\x1B[49m\n' +
      '\x1B[1;32m    197\x1B[0m \x1B[43m        \x1B[49m\x1B[43mdatasets\x1B[49m\x1B[38;5;241;43m.\x1B[39;49m\x1B[43mload_dataset\x1B[49m\x1B[43m(\x1B[49m\x1B[38;5;124;43m"\x1B[39;49m\x1B[38;5;124;43mcais/mmlu\x1B[39;49m\x1B[38;5;124;43m"\x1B[39;49m\x1B[43m,\x1B[49m\x1B[43m \x1B[49m\x1B[38;5;124;43m"\x1B[39;49m\x1B[38;5;124;43mall\x1B[39;49m\x1B[38;5;124;43m"\x1B[39;49m\x1B[43m)\x1B[49m\x1B[43m[\x1B[49m\x1B[38;5;124;43m"\x1B[39;49m\x1B[38;5;124;43mvalidation\x1B[39;49m\x1B[38;5;124;43m"\x1B[39;49m\x1B[43m]\x1B[49m\x1B[43m,\x1B[49m\n' +
      '\x1B[1;32m    198\x1B[0m \x1B[43m        \x1B[49m\x1B[43mpreamble\x1B[49m\x1B[38;5;241;43m=\x1B[39;49m\x1B[38;5;124;43m"\x1B[39;49m\x1B[38;5;124;43mAnswer the following question in the specified subject area.\x1B[39;49m\x1B[38;5;130;43;01m\\n\x1B[39;49;00m\x1B[38;5;124;43m"\x1B[39;49m\x1B[43m,\x1B[49m\n' +
      `\x1B[1;32m    199\x1B[0m \x1B[43m        \x1B[49m\x1B[43mbody\x1B[49m\x1B[38;5;241;43m=\x1B[39;49m\x1B[38;5;28;43;01mlambda\x1B[39;49;00m\x1B[43m \x1B[49m\x1B[43mproblem\x1B[49m\x1B[43m:\x1B[49m\x1B[43m \x1B[49m\x1B[38;5;124;43mf\x1B[39;49m\x1B[38;5;124;43m"\x1B[39;49m\x1B[38;5;124;43mSubject: \x1B[39;49m\x1B[38;5;132;43;01m{\x1B[39;49;00m\x1B[43mproblem\x1B[49m\x1B[43m[\x1B[49m\x1B[38;5;124;43m'\x1B[39;49m\x1B[38;5;124;43msubject\x1B[39;49m\x1B[38;5;124;43m'\x1B[39;49m\x1B[43m]\x1B[49m\x1B[38;5;132;43;01m}\x1B[39;49;00m\x1B[38;5;130;43;01m\\n\x1B[39;49;00m\x1B[38;5;124;43mQuestion: \x1B[39;49m\x1B[38;5;132;43;01m{\x1B[39;49;00m\x1B[43mproblem\x1B[49m\x1B[43m[\x1B[49m\x1B[38;5;124;43m'\x1B[39;49m\x1B[38;5;124;43mquestion\x1B[39;49m\x1B[38;5;124;43m'\x1B[39;49m\x1B[43m]\x1B[49m\x1B[38;5;132;43;01m}\x1B[39;49;00m\x1B[38;5;130;43;01m\\n\x1B[39;49;00m\x1B[38;5;124;43mChoices:\x1B[39;49m\x1B[38;5;130;43;01m\\n\x1B[39;49;00m\x1B[38;5;124;43ma. \x1B[39;49m\x1B[38;5;132;43;01m{\x1B[39;49;00m\x1B[43mproblem\x1B[49m\x1B[43m[\x1B[49m\x1B[38;5;124;43m'\x1B[39;49m\x1B[38;5;124;43mchoices\x1B[39;49m\x1B[38;5;124;43m'\x1B[39;49m\x1B[43m]\x1B[49m\x1B[43m[\x1B[49m\x1B[38;5;241;43m0\x1B[39;49m\x1B[43m]\x1B[49m\x1B[38;5;132;43;01m}\x1B[39;49;00m\x1B[38;5;130;43;01m\\n\x1B[39;49;00m\x1B[38;5;124;43mb. \x1B[39;49m\x1B[38;5;132;43;01m{\x1B[39;49;00m\x1B[43mproblem\x1B[49m\x1B[43m[\x1B[49m\x1B[38;5;124;43m'\x1B[39;49m\x1B[38;5;124;43mchoices\x1B[39;49m\x1B[38;5;124;43m'\x1B[39;49m\x1B[43m]\x1B[49m\x1B[43m[\x1B[49m\x1B[38;5;241;43m1\x1B[39;49m\x1B[43m]\x1B[49m\x1B[38;5;132;43;01m}\x1B[39;49;00m\x1B[38;5;130;43;01m\\n\x1B[39;49;00m\x1B[38;5;124;43mc. \x1B[39;49m\x1B[38;5;132;43;01m{\x1B[39;49;00m\x1B[43mproblem\x1B[49m\x1B[43m[\x1B[49m\x1B[38;5;124;43m'\x1B[39;49m\x1B[38;5;124;43mchoices\x1B[39;49m\x1B[38;5;124;43m'\x1B[39;49m\x1B[43m]\x1B[49m\x1B[43m[\x1B[49m\x1B[38;5;241;43m2\x1B[39;49m\x1B[43m]\x1B[49m\x1B[38;5;132;43;01m}\x1B[39;49;00m\x1B[38;5;130;43;01m\\n\x1B[39;49;00m\x1B[38;5;124;43md. \x1B[39;49m\x1B[38;5;132;43;01m{\x1B[39;49;00m\x1B[43mproblem\x1B[49m\x1B[43m[\x1B[49m\x1B[38;5;124;43m'\x1B[39;49m\x1B[38;5;124;43mchoices\x1B[39;49m\x1B[38;5;124;43m'\x1B[39;49m\x1B[43m]\x1B[49m\x1B[43m[\x1B[49m\x1B[38;5;241;43m3\x1B[39;49m\x1B[43m]\x1B[49m\x1B[38;5;132;43;01m}\x1B[39;49;00m\x1B[38;5;124;43m"\x1B[39;49m\x1B[43m,\x1B[49m\x1B[43m  \x1B[49m\x1B[38;5;66;43;03m# noqa: E501\x1B[39;49;00m\n` +
      '\x1B[1;32m    200\x1B[0m \x1B[43m        \x1B[49m\x1B[43mpostamble\x1B[49m\x1B[38;5;241;43m=\x1B[39;49m\x1B[38;5;124;43m"\x1B[39;49m\x1B[38;5;130;43;01m\\n\x1B[39;49;00m\x1B[38;5;124;43mAnswer ONLY with the letter labeling the correct choice. Answer:\x1B[39;49m\x1B[38;5;130;43;01m\\n\x1B[39;49;00m\x1B[38;5;124;43m"\x1B[39;49m\x1B[43m,\x1B[49m\n' +
      '\x1B[1;32m    201\x1B[0m \x1B[43m        \x1B[49m\x1B[43mparse_response\x1B[49m\x1B[38;5;241;43m=\x1B[39;49m\x1B[43mft\x1B[49m\x1B[38;5;241;43m.\x1B[39;49m\x1B[43mpartial\x1B[49m\x1B[43m(\x1B[49m\x1B[43mparse_mc_response_logits\x1B[49m\x1B[43m,\x1B[49m\x1B[43m \x1B[49m\x1B[43mtkn\x1B[49m\x1B[43m)\x1B[49m\x1B[43m,\x1B[49m\n' +
      '\x1B[1;32m    202\x1B[0m \x1B[43m        \x1B[49m\x1B[43mextract_answer\x1B[49m\x1B[38;5;241;43m=\x1B[39;49m\x1B[38;5;28;43;01mlambda\x1B[39;49;00m\x1B[43m \x1B[49m\x1B[43mproblem\x1B[49m\x1B[43m:\x1B[49m\x1B[43m \x1B[49m\x1B[43mproblem\x1B[49m\x1B[43m[\x1B[49m\x1B[38;5;124;43m"\x1B[39;49m\x1B[38;5;124;43manswer\x1B[39;49m\x1B[38;5;124;43m"\x1B[39;49m\x1B[43m]\x1B[49m\x1B[43m,\x1B[49m\n' +
      '\x1B[1;32m    203\x1B[0m \x1B[43m        \x1B[49m\x1B[43mnum_problems\x1B[49m\x1B[38;5;241;43m=\x1B[39;49m\x1B[43mnum_problems\x1B[49m\x1B[43m,\x1B[49m\n' +
      '\x1B[1;32m    204\x1B[0m \x1B[43m        \x1B[49m\x1B[43mverbosity\x1B[49m\x1B[38;5;241;43m=\x1B[39;49m\x1B[43mverbosity\x1B[49m\x1B[43m,\x1B[49m\n' +
      '\x1B[1;32m    205\x1B[0m \x1B[43m        \x1B[49m\x1B[43mtotal_len\x1B[49m\x1B[38;5;241;43m=\x1B[39;49m\x1B[38;5;241;43m256\x1B[39;49m\x1B[43m,\x1B[49m\n' +
      '\x1B[1;32m    206\x1B[0m \x1B[43m    \x1B[49m\x1B[43m)\x1B[49m\n',
    'Cell \x1B[0;32mIn[3], line 99\x1B[0m, in \x1B[0;36mbenchmark\x1B[0;34m(model, tkn, dataset, preamble, body, postamble, parse_response, extract_answer, num_problems, verbosity, total_len)\x1B[0m\n' +
      '\x1B[1;32m     95\x1B[0m     choices_: \x1B[38;5;28mlist\x1B[39m[ndarray[Any, Any]] \x1B[38;5;241m=\x1B[39m cast(Any, choices)\n' +
      '\x1B[1;32m     96\x1B[0m     answers_: \x1B[38;5;28mlist\x1B[39m[Fin[Any]] \x1B[38;5;241m=\x1B[39m cast(Any, answers)\n' +
      '\x1B[1;32m     97\x1B[0m     \x1B[38;5;28;01mreturn\x1B[39;00m (\n' +
      '\x1B[1;32m     98\x1B[0m         discrete_analysis(choices_, answers_),  \x1B[38;5;66;03m# pyright: ignore[reportArgumentType]\x1B[39;00m\n' +
      '\x1B[0;32m---> 99\x1B[0m         cross_ent_analysis(\x1B[43mjnp\x1B[49m\x1B[38;5;241;43m.\x1B[39;49m\x1B[43mstack\x1B[49m\x1B[43m(\x1B[49m\x1B[43mchoices_\x1B[49m\x1B[43m)\x1B[49m, jnp\x1B[38;5;241m.\x1B[39marray(answers_)),\n' +
      '\x1B[1;32m    100\x1B[0m         \x1B[38;5;28mlen\x1B[39m(fchoices),\n' +
      '\x1B[1;32m    101\x1B[0m         \x1B[38;5;28mlen\x1B[39m(choices),\n' +
      '\x1B[1;32m    102\x1B[0m     )\n' +
      '\x1B[1;32m    104\x1B[0m \x1B[38;5;28;01melse\x1B[39;00m:\n' +
      '\x1B[1;32m    105\x1B[0m     \x1B[38;5;28;01mreturn\x1B[39;00m (discrete_analysis(fchoices, fanswers), \x1B[38;5;28mlen\x1B[39m(fchoices), \x1B[38;5;28mlen\x1B[39m(choices))\n',
    'File \x1B[0;32m~/ml-scratch/.venv/lib/python3.11/site-packages/jax/_src/numpy/lax_numpy.py:3075\x1B[0m, in \x1B[0;36mstack\x1B[0;34m(arrays, axis, out, dtype)\x1B[0m\n' +
      '\x1B[1;32m   3073\x1B[0m   \x1B[38;5;28;01mreturn\x1B[39;00m concatenate(expand_dims(arrays, axis \x1B[38;5;241m+\x1B[39m \x1B[38;5;241m1\x1B[39m), axis\x1B[38;5;241m=\x1B[39maxis, dtype\x1B[38;5;241m=\x1B[39mdtype)\n' +
      '\x1B[1;32m   3074\x1B[0m \x1B[38;5;28;01melse\x1B[39;00m:\n' +
      '\x1B[0;32m-> 3075\x1B[0m   \x1B[43mutil\x1B[49m\x1B[38;5;241;43m.\x1B[39;49m\x1B[43mcheck_arraylike\x1B[49m\x1B[43m(\x1B[49m\x1B[38;5;124;43m"\x1B[39;49m\x1B[38;5;124;43mstack\x1B[39;49m\x1B[38;5;124;43m"\x1B[39;49m\x1B[43m,\x1B[49m\x1B[43m \x1B[49m\x1B[38;5;241;43m*\x1B[39;49m\x1B[43marrays\x1B[49m\x1B[43m)\x1B[49m\n' +
      '\x1B[1;32m   3076\x1B[0m   shape0 \x1B[38;5;241m=\x1B[39m shape(arrays[\x1B[38;5;241m0\x1B[39m])\n' +
      '\x1B[1;32m   3077\x1B[0m   axis \x1B[38;5;241m=\x1B[39m _canonicalize_axis(axis, \x1B[38;5;28mlen\x1B[39m(shape0) \x1B[38;5;241m+\x1B[39m \x1B[38;5;241m1\x1B[39m)\n',
    'File \x1B[0;32m~/ml-scratch/.venv/lib/python3.11/site-packages/jax/_src/numpy/util.py:334\x1B[0m, in \x1B[0;36mcheck_arraylike\x1B[0;34m(fun_name, emit_warning, stacklevel, *args)\x1B[0m\n' +
      '\x1B[1;32m    331\x1B[0m   warnings\x1B[38;5;241m.\x1B[39mwarn(msg \x1B[38;5;241m+\x1B[39m \x1B[38;5;124m"\x1B[39m\x1B[38;5;124m In a future JAX release this will be an error.\x1B[39m\x1B[38;5;124m"\x1B[39m,\n' +
      '\x1B[1;32m    332\x1B[0m                 category\x1B[38;5;241m=\x1B[39m\x1B[38;5;167;01mDeprecationWarning\x1B[39;00m, stacklevel\x1B[38;5;241m=\x1B[39mstacklevel)\n' +
      '\x1B[1;32m    333\x1B[0m \x1B[38;5;28;01melse\x1B[39;00m:\n' +
      '\x1B[0;32m--> 334\x1B[0m   \x1B[38;5;28;01mraise\x1B[39;00m \x1B[38;5;167;01mTypeError\x1B[39;00m(msg\x1B[38;5;241m.\x1B[39mformat(fun_name, \x1B[38;5;28mtype\x1B[39m(arg), pos))\n',
    "\x1B[0;31mTypeError\x1B[0m: stack requires ndarray or scalar arguments, got <class 'NoneType'> at position 3."
  ]
}
11:54:23.314 [trace] Cell 35 completed in 57.378s (start: 1736538805935, end: 1736538863313)
11:54:23.314 [trace] Cell 35 executed with an error
11:54:23.315 [debug] CodeWatcher::runCell, Class name = qt, completed in 57537ms, has a falsy return value
11:54:36.971 [debug] CodeLensFactory: Generating new code lenses for version 2 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:54:38.101 [debug] CodeLensFactory: Generating new code lenses for version 3 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:54:53.720 [info] Generated code for 3 = <ipython-input-3-6902ad9e34b7> with 542 lines
11:54:53.725 [trace] Cell Index:36 sent to kernel
11:54:53.853 [trace] Start cell 36 execution @ 1736538893853 (clear output)
11:54:53.853 [debug] Kernel acknowledged execution of cell 36 @ 1736538893853
11:54:54.114 [trace] Cell 36 completed in 0.261s (start: 1736538893853, end: 1736538894114)
11:54:54.114 [trace] Cell 36 executed successfully
11:54:57.165 [debug] CodeWatcher::runCell, Class name = qt (started execution)
11:54:57.169 [info] Generated code for 4 = <ipython-input-4-6bc420862092> with 13 lines
11:54:57.175 [trace] Cell Index:37 sent to kernel
11:54:57.365 [trace] Start cell 37 execution @ 1736538897365 (clear output)
11:54:57.366 [debug] Kernel acknowledged execution of cell 37 @ 1736538897365
11:55:32.536 [trace] Cell 37 completed in 35.171s (start: 1736538897365, end: 1736538932536)
11:55:32.536 [trace] Cell 37 executed successfully
11:55:32.537 [debug] CodeWatcher::runCell, Class name = qt, completed in 35372ms, has a falsy return value
11:56:08.892 [debug] CodeLensFactory: Generating new code lenses for version 7 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:56:09.224 [debug] CodeLensFactory: Generating new code lenses for version 8 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:56:09.720 [debug] CodeLensFactory: Generating new code lenses for version 12 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:56:10.452 [debug] CodeLensFactory: Generating new code lenses for version 17 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:56:10.772 [debug] CodeLensFactory: Generating new code lenses for version 18 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:56:12.458 [debug] CodeLensFactory: Generating new code lenses for version 19 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:56:29.525 [debug] CodeLensFactory: Generating new code lenses for version 20 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:56:32.268 [debug] CodeLensFactory: Generating new code lenses for version 31 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:56:34.339 [debug] CodeLensFactory: Generating new code lenses for version 33 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:56:36.503 [debug] CodeLensFactory: Generating new code lenses for version 34 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:57:41.292 [debug] CodeLensFactory: Generating new code lenses for version 36 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:57:41.682 [debug] CodeLensFactory: Generating new code lenses for version 38 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:57:42.015 [debug] CodeLensFactory: Generating new code lenses for version 39 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:57:43.562 [debug] CodeLensFactory: Generating new code lenses for version 50 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:57:44.522 [debug] CodeLensFactory: Generating new code lenses for version 56 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:57:44.920 [debug] CodeLensFactory: Generating new code lenses for version 58 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:57:45.910 [debug] CodeLensFactory: Generating new code lenses for version 62 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:57:47.672 [debug] CodeLensFactory: Generating new code lenses for version 69 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:57:56.473 [debug] CodeLensFactory: Generating new code lenses for version 74 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:57:56.806 [debug] CodeLensFactory: Generating new code lenses for version 75 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:58:02.328 [debug] CodeLensFactory: Generating new code lenses for version 76 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:58:08.931 [debug] CodeLensFactory: Generating new code lenses for version 77 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:58:15.662 [debug] CodeLensFactory: Generating new code lenses for version 84 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:58:54.446 [debug] CodeLensFactory: Generating new code lenses for version 85 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:58:55.017 [debug] CodeLensFactory: Generating new code lenses for version 90 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:58:55.605 [debug] CodeLensFactory: Generating new code lenses for version 91 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:58:58.374 [debug] CodeLensFactory: Generating new code lenses for version 92 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:59:28.424 [debug] CodeLensFactory: Generating new code lenses for version 93 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
11:59:29.046 [debug] CodeLensFactory: Generating new code lenses for version 94 of document file:///home/~/code/.../lc/eval/benchmark.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
12:05:56.755 [debug] Restart kernel command handler for /Interactive-1.interactive
12:05:56.756 [debug] restart the kernel, options.disableUI=false for /Interactive-1.interactive
12:05:56.756 [info] Restart requested /Interactive-1.interactive
12:05:56.757 [debug] Cancel pending cells

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Remote
@colehaus colehaus added the bug Issue identified by VS Code Team member as probable bug label Jan 10, 2025
@colehaus
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I stepped back through major versions and I seem to stop getting the issue with VSCode 1.92.2 and extension version v2024.7.0.

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@DonJayamanne DonJayamanne

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