chore: import upstream snapshot with attribution

2026-07-13 13:05:14 +08:00
commit 2a547be7fe
7904 changed files with 1000926 additions and 0 deletions
@@ -0,0 +1,95 @@
+from __future__ import annotations
+
+import argparse
+
+import rerun as rr
+import rerun.blueprint as rrb
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(description="Simple benchmark for many transforms over time & space.")
+    rr.script_add_args(parser)
+
+    parser.add_argument("--branching-factor", type=int, default=2, help="How many children each node has")
+    parser.add_argument("--hierarchy-depth", type=int, default=10, help="How many levels of hierarchy we want")
+    parser.add_argument(
+        "--transforms-every-n-levels", type=int, default=2, help="At which level in the hierarchies we add transforms"
+    )
+    parser.add_argument(
+        "--num-timestamps",
+        type=int,
+        default=100,
+        help="Number of timestamps to log. Stamps shift for each entity a bit.",
+    )
+    parser.add_argument("--transforms-only", action="store_true", help="If set, don't log a point at each leaf")
+    parser.add_argument(
+        "--num-views", type=int, default=6, help="Number of 3D views to create (each will use a different origin)"
+    )
+
+    args = parser.parse_args()
+
+    rr.script_setup(args, "rerun_example_benchmark_many_transforms")
+    rr.set_time("sim_time", duration=0)
+
+    entity_paths = []
+    call_id = 0
+
+    def log_hierarchy(entity_path: str, level: int) -> None:
+        nonlocal call_id
+        call_id += 1
+        entity_paths.append(entity_path)
+
+        # Add a transform at every 'transforms_every_n_levels' level except root
+        if level > 0 and level % args.transforms_every_n_levels == 0:
+            # Add a static transform that has to be combined in to stress the per-timestamp transform resolve.
+            rr.log(
+                entity_path,
+                # Have to be careful to not override all other transforms, therefore, use `from_fields`.
+                rr.Transform3D.from_fields(
+                    mat3x3=[
+                        [1.0 + level * 0.1, 0.0, 0.0],
+                        [0.0, 1.0 + level * 0.1, 0.0],
+                        [0.0, 0.0, 1.0 + level * 0.1],
+                    ]
+                ),
+                static=True,
+            )
+
+            # Add a transform that changes for each timestamp.
+            for i in range(args.num_timestamps):
+                call_id_factor = call_id * 0.02
+                rr.set_time("sim_time", duration=i + call_id_factor)
+                rr.log(
+                    entity_path,
+                    rr.Transform3D(
+                        translation=[i * 0.1 * level + call_id_factor, call_id_factor * level, 0.0],
+                        rotation_axis_angle=rr.RotationAxisAngle(axis=(0.0, 1.0, 0.0), degrees=i * 0.1),
+                    ),
+                )
+
+        if level == args.hierarchy_depth:
+            if not args.transforms_only:
+                # Log a single point at the leaf
+                rr.set_time("sim_time", duration=0)
+                rr.log(entity_path, rr.Points3D([[0.0, 0.0, 0.0]]))
+            return
+
+        for i in range(args.branching_factor):
+            child_path = f"{entity_path}/{i}_at_{level}"
+            log_hierarchy(child_path, level + 1)
+
+    log_hierarchy("root", 0)
+
+    # All views display all entities.
+    rr.send_blueprint(
+        rrb.Blueprint(
+            rrb.Grid(
+                contents=[rrb.Spatial3DView(origin=path, contents="/**") for path in entity_paths[: args.num_views]]
+            ),
+            collapse_panels=True,  # Collapse panels, so perf is mostly about the data & the views.
+        )
+    )
+
+
+if __name__ == "__main__":
+    main()