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Closes#22978
This adds a locator implementation that properly detects
[Pixi](https://pixi.sh/) environments. Pixi environments are essentially
conda environments but placed in a specific directory inside the
project/workspace. This PR properly detects these and does not do much
else. This would unblock a lot of pixi users.
I would prefer to use a custom pixi plugin but since the [contribution
endpoints are not available
yet](#22797) I think
this is the next best thing.
Before I put more effort into tests I just want to verify that this
approach is valid. Let me know what you think! :)
---------
Co-authored-by: Tim de Jager <[email protected]>
Copy file name to clipboardExpand all lines: package.nls.json
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"python.locator.description": "[Experimental] Select implementation of environment locators. This is an experimental setting while we test native environment location.",
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"python.pipenvPath.description": "Path to the pipenv executable to use for activation.",
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"python.poetryPath.description": "Path to the poetry executable.",
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"python.pixiToolPath.description": "Path to the pixi executable.",
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"python.EnableREPLSmartSend.description": "Toggle Smart Send for the Python REPL. Smart Send enables sending the smallest runnable block of code to the REPL on Shift+Enter and moves the cursor accordingly.",
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"python.REPL.sendToNativeREPL.description": "Toggle to send code to Python REPL instead of the terminal on execution. Turning this on will change the behavior for both Smart Send and Run Selection/Line in the Context Menu.",
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"python.tensorBoard.logDirectory.description": "Set this setting to your preferred TensorBoard log directory to skip log directory prompt when starting TensorBoard.",
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