chore: import upstream snapshot with attribution

python/ray/train/tests/test_telemetry.py

@@ -0,0 +1,50 @@
+import sys
+
+import pytest
+
+import ray
+import ray._common.usage.usage_lib as ray_usage_lib
+from ray._common.test_utils import TelemetryCallsite, check_library_usage_telemetry
+from ray.train.data_parallel_trainer import DataParallelTrainer
+
+
+@pytest.fixture
+def reset_usage_lib():
+    yield
+    ray.shutdown()
+    ray_usage_lib.reset_global_state()
+
+
+@pytest.mark.parametrize("callsite", list(TelemetryCallsite))
+def test_not_used_on_import(reset_usage_lib, callsite: TelemetryCallsite):
+    def _import_ray_train():
+        from ray import train  # noqa: F401
+
+    check_library_usage_telemetry(
+        _import_ray_train, callsite=callsite, expected_library_usages=[set(), {"core"}]
+    )
+
+
+@pytest.mark.parametrize("callsite", list(TelemetryCallsite))
+def test_used_on_train_fit(reset_usage_lib, callsite: TelemetryCallsite):
+    def _call_train_fit():
+        def train_fn():
+            pass
+
+        trainer = DataParallelTrainer(train_fn)
+        trainer.fit()
+
+    check_library_usage_telemetry(
+        _call_train_fit,
+        callsite=callsite,
+        expected_library_usages=[{"train", "tune"}, {"core", "train", "tune"}],
+        expected_extra_usage_tags={
+            "air_entrypoint": "Trainer.fit",
+            "air_storage_configuration": "local",
+            "air_trainer": "Custom",
+        },
+    )
+
+
+if __name__ == "__main__":
+    sys.exit(pytest.main(["-v", "-s", __file__]))