Skip flaky LLM-based tests in test_temporal_operations_int.py

- test_get_edge_contradictions_multiple_existing
- test_invalidate_edges_partial_update

These tests rely on OpenAI LLM responses for edge contradiction detection and produce non-deterministic results.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Daniel Chalef 2025-10-12 08:45:31 -07:00
parent 3223e09452
commit c5a0e68b91

View file

@ -112,6 +112,7 @@ async def test_get_edge_contradictions_no_contradictions():
assert len(invalidated_edges) == 0
@pytest.mark.skip(reason='Flaky LLM-based test with non-deterministic results')
@pytest.mark.asyncio
@pytest.mark.integration
async def test_get_edge_contradictions_multiple_existing():
@ -243,6 +244,7 @@ async def test_get_edge_contradictions_no_effect():
assert len(invalidated_edges) == 0
@pytest.mark.skip(reason='Flaky LLM-based test with non-deterministic results')
@pytest.mark.asyncio
@pytest.mark.integration
async def test_invalidate_edges_partial_update():