Fix torch import issue in test_automatic_gpu_parallelization.py

- Use pytest.importorskip() to conditionally import torch and numpy
- This prevents ModuleNotFoundError during test collection in CI
- Tests will be automatically skipped if dependencies aren't available
- Resolves GitHub Actions failure due to missing torch dependency

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

Co-Authored-By: Claude <noreply@anthropic.com>

Author: jeremymanning

tests/real_world/test_automatic_gpu_parallelization.py

@@ -10,12 +10,14 @@
 """
 
 import pytest
-import torch
-import numpy as np
 from clustrix import cluster
 from clustrix.config import load_config, configure
 from tests.real_world import credentials
 
+# Skip entire module if torch/numpy not available
+torch = pytest.importorskip("torch")
+np = pytest.importorskip("numpy")
+
 
 @pytest.mark.real_world
 class TestAutomaticGPUParallelization: