From 669303a60afcf07193b7ff8f834cd785f12efc90 Mon Sep 17 00:00:00 2001
From: The gemma Authors <no-reply@google.com>
Date: Mon, 15 Jun 2026 16:08:50 -0700
Subject: [PATCH] Internal

PiperOrigin-RevId: 932722596
---
 gemma/script/convert_orbax_to_roc_test.py | 54 +++++++++++++++++++++++
 1 file changed, 54 insertions(+)
 create mode 100644 gemma/script/convert_orbax_to_roc_test.py

diff --git a/gemma/script/convert_orbax_to_roc_test.py b/gemma/script/convert_orbax_to_roc_test.py
new file mode 100644
index 00000000..017ab013
--- /dev/null
+++ b/gemma/script/convert_orbax_to_roc_test.py
@@ -0,0 +1,54 @@
+# Copyright 2026 DeepMind Technologies Limited.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from absl.testing import absltest
+from third_party.py.gemma.script import convert_orbax_to_roc
+
+
+class ConvertOrbaxToRocTest(absltest.TestCase):
+
+  def test_flatten_nested_tree_unwrap_value(self):
+    nested_dict = {
+        'layer_0': {
+            'bias': {'value': 'tensor_b'},
+            'scale': {'value': 'tensor_s'},
+        }
+    }
+    expected = {
+        'layer_0': {
+            'bias': 'tensor_b',
+            'scale': 'tensor_s',
+        }
+    }
+    actual = convert_orbax_to_roc.flatten_nested_tree(nested_dict)
+    self.assertEqual(actual, expected)
+
+  def test_flatten_nested_tree_normal(self):
+    nested_dict = {
+        'layer_0': {
+            'bias': 'tensor_b',
+            'scale': 'tensor_s',
+        }
+    }
+    expected = {
+        'layer_0': {
+            'bias': 'tensor_b',
+            'scale': 'tensor_s',
+        }
+    }
+    actual = convert_orbax_to_roc.flatten_nested_tree(nested_dict)
+    self.assertEqual(actual, expected)
+
+if __name__ == '__main__':
+  absltest.main()