WildAi
699a12f403
- pyproject: [tool.pytest.ini_options] with testpaths=tests, the four plan markers (unit/mock_integration/headless/gpu_acceptance), addopts '-v --tb=short --import-mode=importlib', consider_namespace_packages and pythonpath=['.'] - tests/test_sanity.py::test_python_and_torch pins the supported interpreter and the torch import - 'python -m pytest --collect-only -q' exits 0 (40 tests collected)
39 lines
1.3 KiB
Python
39 lines
1.3 KiB
Python
"""P1.1 - harness sanity.
|
|
|
|
The plan requires the harness to be green **before** the refactor starts, so
|
|
this file pins the two facts every later phase relies on:
|
|
|
|
* the interpreter is a supported Python (the plan's embedded interpreter is
|
|
3.13; the CI matrix of P1.5 adds 3.10 and 3.12 - see the deviation note in
|
|
``docs/audit/2026-10-23-p1-test-infrastructure.md``),
|
|
* ``torch`` is importable - every tier of the suite imports it, and the
|
|
``sample_image`` fixture of the root conftest is a torch tensor.
|
|
"""
|
|
|
|
from __future__ import annotations
|
|
|
|
import sys
|
|
|
|
import pytest
|
|
|
|
#: The Python versions the project supports (P1.5 CI matrix + the local
|
|
#: embedded interpreter, which is 3.13).
|
|
SUPPORTED_PYTHON_VERSIONS = {(3, 10), (3, 12), (3, 13)}
|
|
|
|
|
|
@pytest.mark.unit
|
|
def test_python_and_torch():
|
|
"""The interpreter is supported and torch is importable."""
|
|
version = sys.version_info[:2]
|
|
assert version in SUPPORTED_PYTHON_VERSIONS, (
|
|
f"unsupported Python {version[0]}.{version[1]}; supported: "
|
|
f"{sorted(SUPPORTED_PYTHON_VERSIONS)}"
|
|
)
|
|
|
|
import torch # noqa: PLC0415 - imported here on purpose: the import is the assertion
|
|
|
|
assert isinstance(torch.__version__, str) and torch.__version__, (
|
|
"torch must expose a version string"
|
|
)
|
|
assert hasattr(torch, "Tensor"), "torch must expose the Tensor type"
|