arckit

library1.0.1pypypi✓ verified 80d ago

Tools for working with the Abstraction & Reasoning Corpus (ARC-AGI), including loading datasets (ARC-AGI-1, ARC-AGI-2), task manipulation, evaluation, and visualization. Current version: 1.0.1. Maintained regularly with releases.

ai-ml

pip install arckit

github ↗package ↗

INSTALL

IMPORT

SIG · ARCKIT

arckit

ai-mlpythonv1.0.1

harness data pending

Install & Compatibility

Where this runs

No compatibility data collected yet for this library.

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

Task

✓ from arckit import Task

✗ from arckit import load_tasks

data

✓ from arckit import data

load_data

✓ from arckit import load_data

Loads ARC-AGI tasks and runs a dummy solver. Default dataset is ARC-AGI-2.

from arckit import load_tasks, solve_one_task # Load tasks (defaults to ARC-AGI-2) tasks = load_tasks() # Or load ARC-AGI-1: # tasks = load_tasks('arc-agi-1') # Pick a training task task = tasks[0] # Solve the first training pair with a dummy prediction def dummy_solve(task): # Return the second grid of the first pair return task.train[0][1] result = solve_one_task(task, dummy_solve) print('Solved:', result)

Debug

Known issues

breakingDefault dataset changed from ARC-AGI-1 to ARC-AGI-2 in v1.0.1. Code relying on ARC-AGI-1 tasks must specify version string.

fix

Use load_tasks('arc-agi-1') for original ARC-AGI-1 tasks.

affects: >=1.0.1

breakingDefault evaluation topn changed from 1 to 2 in v1.0.1, affecting metrics.

fix

Explicitly set topn=1 in evaluation functions if you need the old behavior.

affects: >=1.0.1

gotchasolve_one_task expects a function that takes a dict task and returns a 2D list or numpy array. Returning incorrect shape silently may produce wrong metrics.

fix

Ensure solver returns a grid of same height/width as expected output for the test pair.

affects: all

Upgrade

Version history

1.0.1latest on PyPI · released Aug 22, 2025

Audit

Dependencies

No dependency data recorded yet.

Agent activity

18 hits · last 30 days

node

OpenAI (training)

Resources

githubhttps://github.com/mxbi/arckit ↗

packagehttps://pypi.org/project/arckit/ ↗