Skip to main content

Compiler toolchain for the GSAM language.

Project description

GSAM

GSAM compiler and execution engine

PyPI GitHub

Installation

pip install gsam

About

GSAM is a compiler and execution engine built around a graph-based computation model. It is designed for extensibility, where external “Materials” define behavior and execution logic in a modular way.

Instead of traditional linear execution, GSAM represents programs as graphs of nodes, enabling flexible control flow, parallel execution patterns, and pluggable runtime behavior.

Syntax Overview

Refer to the Semantics Example for detailed syntax descriptions and usage.

? comment block (multi-line via indentation)
  lines starting with indentation are treated as part of the comment

- parent node
  = variable assignment
  @ keyword_argument
    + value
  + positional_argument
  > next node option

Example

Hello World

? use console material
$ console

? "log" node comes from "console"
- log
  + "Hello, GSAM!"

Architecture

GSAM is built as a graph-native execution system with layered components:

Pipeline

Source code flows through:

  • Parsing
  • Intermediate Representation (IR)
  • Graph construction
  • Execution

Execution Engine

  • Execution Queue (node scheduling)
  • Execution Clusters (parallel groups)
  • Execution Stack (scoped runtime context)
  • Memory Bank (runtime state storage)

Materials System

  • External modules defining execution behavior
  • Plug-in style extensibility
  • Core engine remains minimal and generic

Core Artifacts

  • Data nodes (computation units)
  • Execution units (runtime tasks)
  • Memory structures (state persistence)

Design Philosophy

GSAM follows a minimal and explicit design approach:

  • Graph-native execution model
  • Extensible through external modules called “Materials”
  • Minimal assumptions in the core engine
  • Clear separation between syntax, execution, and behavior

Status

GSAM is under active development.
The architecture and APIs may evolve as the system matures.

Links


Made with <3 by AttAditya

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

gsam-0.1.0.tar.gz (10.5 kB view details)

Uploaded Source

Built Distribution

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

gsam-0.1.0-py3-none-any.whl (14.3 kB view details)

Uploaded Python 3

File details

Details for the file gsam-0.1.0.tar.gz.

File metadata

  • Download URL: gsam-0.1.0.tar.gz
  • Upload date:
  • Size: 10.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for gsam-0.1.0.tar.gz
Algorithm Hash digest
SHA256 f1eb5b1d92f98e38c3a56967599ddcee31ff10c4e5460b1a067300bc7ada2dfe
MD5 548b57f31eeb96cf8e3f50219bcea346
BLAKE2b-256 00aaeff292877927dd02225f216db35c562058e0e24de2d4199a51594dc27486

See more details on using hashes here.

File details

Details for the file gsam-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: gsam-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 14.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for gsam-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 125642b60644396c25fce56caffe20c466a884d60dd8a2b44cf346e882a7a45e
MD5 0cb9c8e17671b373e1fe59bc3f5e580a
BLAKE2b-256 582bad5e60dc005d88e326a0859a17ad155dd52dd959cf2946dbce9f9ce0f0dd

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