chore: import upstream snapshot with attribution

python/paddle/distributed/auto_parallel/static/tuner/storable.py

@@ -0,0 +1,42 @@
+#   Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+#
+# 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.
+
+# Notice that the following codes are modified from KerasTuner for a different purpose.
+# Please refer to https://github.com/keras-team/keras-tuner/blob/master/keras_tuner/engine/metrics_tracking.py.
+
+import json
+
+
+class Storable:
+    def get_state(self):
+        raise NotImplementedError
+
+    def set_state(self, state):
+        raise NotImplementedError
+
+    def save(self, path):
+        state = self.get_state()
+        state_json = json.dumps(state)
+        try:
+            with open(path, "w") as f:
+                f.write(state_json)
+            return str(path)
+        except OSError as e:
+            raise OSError(f"Failed to save file at {path}: {e}") from e
+
+    def load(self, path):
+        with open(path, "r") as f:
+            state_data = f.read()
+        state = json.loads(state_data)
+        self.set_state(state)