Testing
The suite is layered by dependency and purpose:
# Fast shared-package tests
uv run pytest tests/unit
# Full CPU suite, including integration and parity tests
uv run pytest
# Required ROOT-GNN parity gate (must fail if DGL is unavailable)
GNN4COLLIDERS_REQUIRE_ROOT_GNN=1 uv run pytest
# Optional layers
uv run pytest -m distributed -v
uv run pytest -m onnx -v
uv run pytest -m gpu -v
GNN4COLLIDERS_ROOT_FIXTURE=/path/to/reduced.root uv run pytest -m real_data -v
On Apple Silicon macOS, uv sync --dev --extra root-gnn supports CPU
ROOT-GNN unit and integration testing. CUDA and the required ROOT-GNN parity
gate are validated on Linux x86_64 with the root-gnn extra installed.
Unit tests use deterministic, small tensors and generated ROOT files. DGL,
ONNX, CUDA, distributed execution, and reduced real-data fixtures remain
optional layers. Tests should assert public contracts and scientific
invariants rather than private call sequences. New regression tests should
use tmp_path, explicit seeds, and justified numerical tolerances.
Release validation additionally builds a wheel and runs the CLI help command in a clean environment; it is not part of the ordinary pytest suite.