Skip to main content

Language server backing the NEML2 VS Code extension

Project description

NEML2 Language Support

VS Code extension providing language support for NEML2 input files.

Features

  • Completion — type names for type = assignments, and option names with inline type hints inside typed blocks
  • Hover documentation — docstrings for types and options shown on hover
  • Format on save — re-indents the document consistently via the nmhit formatter
  • Inspect model — a 🔬 CodeLens above every [model] block under [Models] (and a matching NEML2: Inspect Model palette command) runs neml2-inspect on the current buffer and renders the model's inputs, outputs, parameters, and buffers in a side-panel webview. Requires neml2 ≥ 2.1.5; on older builds the lens is silently hidden and the rest of the extension keeps working.

Requirements

A Python environment with the neml2-langserv package installed:

pip install neml2-langserv

That single install pulls in everything the language server needs — neml2 (≥ 2.1.4 for core features, ≥ 2.1.5 to enable the Inspect model lens) for the type/option metadata, nmhit (≥ 0.1.2) for the formatter, and pygls for the LSP transport.

The extension runs the server with whichever Python interpreter is selected in the Python extension. If neml2-langserv is not installed in that interpreter on first activation, the extension prompts you to install it.

Setup

NEML2 input files share the .i extension with MOOSE input files. To tell the extension that a file is a NEML2 input, add the following as the first line:

# neml2

Files without this marker are treated as MOOSE input (or plain text) and the NEML2 language server will not activate for them.

Format on save

Enable the built-in VS Code setting to auto-format on save:

// .vscode/settings.json
{
  "[neml2]": {
    "editor.formatOnSave": true
  }
}

Inspect a model

With neml2 ≥ 2.1.5 installed, a 🔬 Inspect model CodeLens appears above each [name] sub-block under [Models]. Click it to open a side-panel webview listing the model's inputs, outputs, parameters, and buffers (with their tensor types, dtypes, and device tags) for the current buffer — unsaved edits are picked up automatically.

The same action is available from the command palette as NEML2: Inspect Model, which prompts you to pick a model.

To hide the lenses (the palette command stays available), set:

// settings.json
{
  "neml2.inspect.codeLens.enabled": false
}

MOOSE compatibility

This extension does not claim the .i extension globally, so existing MOOSE workflows are unaffected. Only files whose first line matches # neml2 (optionally followed by other text) are switched to the neml2 language mode.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

neml2_langserv-0.2.0.tar.gz (12.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

neml2_langserv-0.2.0-py3-none-any.whl (12.8 kB view details)

Uploaded Python 3

File details

Details for the file neml2_langserv-0.2.0.tar.gz.

File metadata

  • Download URL: neml2_langserv-0.2.0.tar.gz
  • Upload date:
  • Size: 12.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for neml2_langserv-0.2.0.tar.gz
Algorithm Hash digest
SHA256 e896794f9cdf2db149855477fad3275ef9748490d8264b398dbe94e5cb8ff6a7
MD5 9a595fe47c775f104d3d1489e1efed71
BLAKE2b-256 8961c6cfd512d427ff4c5678fdefa0929d33f6c58292ffbb83f75ac256519cf6

See more details on using hashes here.

Provenance

The following attestation bundles were made for neml2_langserv-0.2.0.tar.gz:

Publisher: publish.yml on applied-material-modeling/neml2-langserv

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file neml2_langserv-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: neml2_langserv-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 12.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for neml2_langserv-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 27be94c45e70b0aa51237655325cdc0777950f207fb265f55fd9a9ca4419bf07
MD5 dac6745245bad7046b2fc67817502558
BLAKE2b-256 67eee00b3f5c812db105e0ac2341d78ab58d92f2a2dac89208d171eff96f814c

See more details on using hashes here.

Provenance

The following attestation bundles were made for neml2_langserv-0.2.0-py3-none-any.whl:

Publisher: publish.yml on applied-material-modeling/neml2-langserv

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page