chore: import upstream snapshot with attribution

examples/python/minimal_options/minimal_options.py

@@ -0,0 +1,31 @@
+#!/usr/bin/env python3
+"""Demonstrates the most barebone usage of the Rerun SDK, with standard options."""
+
+from __future__ import annotations
+
+import argparse
+
+import numpy as np
+
+import rerun as rr  # pip install rerun-sdk
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser(
+        description="Demonstrates the most barebone usage of the Rerun SDK, with standard options.",
+    )
+    rr.script_add_args(parser)
+    args = parser.parse_args()
+
+    rr.script_setup(args, "rerun_example_minimal_options")
+
+    positions = np.vstack([xyz.ravel() for xyz in np.mgrid[3 * [slice(-10, 10, 10j)]]]).T
+    colors = np.vstack([rgb.ravel() for rgb in np.mgrid[3 * [slice(0, 255, 10j)]]]).astype(np.uint8).T
+
+    rr.log("my_points", rr.Points3D(positions, colors=colors, radii=0.5))
+
+    rr.script_teardown(args)
+
+
+if __name__ == "__main__":
+    main()

examples/python/minimal_options/pyproject.toml

@@ -0,0 +1,11 @@
+[project]
+name = "minimal_options"
+version = "0.1.0"
+dependencies = ["numpy", "rerun-sdk"]
+
+[project.scripts]
+minimal_options = "minimal_options:main"
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"