yarn 3.1.1 does not support list command line argument

[simkoc]

Description

The current build relies on an yarn command line argument list which is not supported.

Reproduce

Install jupyter-lab using pip on an archlinux system.

I looked at the command line output when running jupyter-lab and got the error:

$> jupyter-lab --version
Fail to get yarn configuration. Unknown Syntax Error: Extraneous positional argument ("list").

$ yarn config [-v,--verbose] [--why] [--json]

3.4.4

Expected behavior

No yarn error.

Context

• up to date arch linux
• yarn 3.1.1
• python 3.10.5
• pip 22.1.2
• jupyterlab 3.4.4

The mistake seems to be here. Simply deleting "list" solves the issue without any side effects as far as I can tell.

$> yarn config --help
Display the current configuration

━━━ Usage ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

$ yarn config

━━━ Options ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

  -v,--verbose    Print the setting description on top of the regular key/value information
  --why           Print the reason why a setting is set a particular way
  --json          Format the output as an NDJSON stream

━━━ Details ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

This command prints the current active configuration settings.

━━━ Examples ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Print the active configuration settings
  $ yarn config

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[simkoc]

There seems to be a general yarn issue. You are using "--non-interactive" as a flag. This flag has been deprecated!

$> yarn install --non-interactive
➤ YN0050: The --non-interactive option is deprecated

[jtpio]

Thanks @simkoc for opening this.

yarn 3 is not yet supported although there is a draft PR to update to it, which requires a couple of changes: #10929

[JasonWeill]

Currently, JupyterLab uses "Classic" Yarn 1.x, which we provide as jlpm. Resolving this issue in favor of #10929 per @jtpio.

[JasonWeill]

JupyterLab should depend on Yarn 1.x, but it looks like the packaged version in pip is depending on your local Yarn instead. We may need to update the packaged version to have the "classic" Yarn as a dependency.

[raffaem]

so what we do as a workaround in the meantime?

[jtpio]

@simkoc looks like this issue can be closed now that JupyterLab uses Yarn 3 for its jlpm? #13875