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-2.4.0.tar.gz (256.1 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-2.4.0-py3-none-any.whl (176.4 kB view details)

Uploaded Python 3

File details

Details for the file hypergumbo_lang_common-2.4.0.tar.gz.

File metadata

  • Download URL: hypergumbo_lang_common-2.4.0.tar.gz
  • Upload date:
  • Size: 256.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for hypergumbo_lang_common-2.4.0.tar.gz
Algorithm Hash digest
SHA256 c2557462fafb0ffd96eca09b8c4f04b17f3a15874014b693041f511f53273c3c
MD5 bdef5ef1319e99535747d953889d6920
BLAKE2b-256 b9c42b2b017b8a899486cc005e7c617bda4c8eafb150a7c9196db9f6f78daa28

See more details on using hashes here.

File details

Details for the file hypergumbo_lang_common-2.4.0-py3-none-any.whl.

File metadata

File hashes

Hashes for hypergumbo_lang_common-2.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 0c69ed6f275b33dca005c6f6f405ec6464ba60f9d9c56fbe0e32460871337f9a
MD5 3669ce2658d595d4d1b8645c7dd0d1bb
BLAKE2b-256 7af9389c54522ad65f2d508147a2ee59965a1baf21c3cc5c510489d63ef71732

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