Skip to main content

Common domain-specific language analyzers for hypergumbo

Project description

hypergumbo-lang-common

Domain-specific language analyzers for hypergumbo.

Supported Languages

Haskell, OCaml, Elixir, Erlang, Clojure, F#, Julia, R, MATLAB, Fortran, Dart, Vue, Svelte, Astro, SCSS, GraphQL, Proto, Thrift, Nix, HCL, LaTeX, RST, Robot, Puppet, Starlark, Meson, CUDA, GLSL, HLSL, WGSL, Elm, PureScript, Racket, Scheme, Common Lisp

Installation

# With core
pip install hypergumbo-core hypergumbo-lang-common

# Full installation (recommended)
pip install hypergumbo

Usage

from hypergumbo_lang_common.haskell import analyze_haskell
from hypergumbo_lang_common.elixir import analyze_elixir
from hypergumbo_lang_common.graphql import analyze_graphql

Documentation

See https://codeberg.org/iterabloom/hypergumbo for full documentation.

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

hypergumbo_lang_common-2.1.0.tar.gz (242.8 kB view details)

Uploaded Source

Built Distribution

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

hypergumbo_lang_common-2.1.0-py3-none-any.whl (166.8 kB view details)

Uploaded Python 3

File details

Details for the file hypergumbo_lang_common-2.1.0.tar.gz.

File metadata

  • Download URL: hypergumbo_lang_common-2.1.0.tar.gz
  • Upload date:
  • Size: 242.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.14

File hashes

Hashes for hypergumbo_lang_common-2.1.0.tar.gz
Algorithm Hash digest
SHA256 147d81fd412dedd7fb949ba16548d30c652c1c56413e73fec673ee2e8c509086
MD5 713527040455c3f0cb58291b010f3b85
BLAKE2b-256 776ef4945bc792c43d2b63eb10c41911eafe0ca2e52fc5a5b0522b3fbeb1246e

See more details on using hashes here.

File details

Details for the file hypergumbo_lang_common-2.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for hypergumbo_lang_common-2.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 dd6db231dba70ae1c67477b282b004fb24e4aff0f56db6a7e9a862e5e525cc1d
MD5 270b121a6c4533bc251d58d9e0e74b7e
BLAKE2b-256 aaf30fd949ffdf9f4c027a271f9d0c23e871bf5d338955133107993169a50815

See more details on using hashes here.

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