Add jet, surface and fixed-patch tests and runnable examples

tests/validation/test_sensor_accuracy.py

@@ -25,7 +25,7 @@ sys.path.insert(0, str(_REPO / "src"))
 from CelerisLab import Simulation
 
 
-def test_sensor_accuracy() -> dict:
+def run_sensor_accuracy() -> dict:
     """Run sensor accuracy validation with multiple sensor positions."""
     cfg = json.loads(
         (Path(_REPO) / "src" / "CelerisLab" / "configs" / "config_lbm.json").read_text()
@@ -45,7 +45,9 @@ def test_sensor_accuracy() -> dict:
     with open(lbm_path, "w") as f:
         json.dump(cfg, f)
 
-    sim = Simulation(lbm_config_path=lbm_path)
+    body_path = os.path.join(tmpd, "config_body.json")
+    Path(body_path).write_text('{"objects": []}')
+    sim = Simulation(lbm_config_path=lbm_path, body_config_path=body_path)
     sim.add_body("circle", center=(80, 64), radius=15)
 
     positions = [(120, 50), (120, 64), (120, 78), (150, 64)]
@@ -63,8 +65,7 @@ def test_sensor_accuracy() -> dict:
         sim.run(20)
 
     # Get macroscopic field after one more step (with sensor accumulation)
-    import pycuda.driver as cuda
-    stream = cuda.Stream()
+    stream = sim.stream
     sim.run(1, zero_obs=True, upload_act=False, sync_obs=True, stream=stream)
     # stream.synchronize() is called inside run()
 
@@ -118,6 +119,11 @@ def test_sensor_accuracy() -> dict:
     return summary
 
 
+def test_sensor_accuracy():
+    result = run_sensor_accuracy()
+    assert result["all_pass"], result
+
+
 if __name__ == "__main__":
-    result = test_sensor_accuracy()
+    result = run_sensor_accuracy()
     sys.exit(0 if result["all_pass"] else 1)