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venv/lib/python3.12/site-packages/jax/_src/pickle_util.py

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+# Copyright 2023 The JAX Authors.
+#
+# 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
+#
+#     https://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.
+
+import dataclasses
+import functools
+import io
+from typing import Any
+
+try:
+  import cloudpickle  # pyrefly: ignore[missing-import]
+except ImportError:
+  cloudpickle = None
+
+from jax._src import profiler
+
+
+@functools.partial(profiler.annotate_function, name='pickle_util.dumps')
+def dumps(obj: Any) -> bytes:
+  """See `pickle.dumps`. Used for serializing host callbacks in jaxlib."""
+  if cloudpickle is None:
+    raise ModuleNotFoundError('No module named "cloudpickle"')
+
+  class Pickler(cloudpickle.CloudPickler):
+    """Customizes the behavior of cloudpickle."""
+
+    # Make a copy to avoid modifying cloudpickle for other users.
+    dispatch_table = cloudpickle.CloudPickler.dispatch_table.copy()  # pyrefly: ignore[missing-attribute]
+
+    # Fixes for dataclass internal singleton object serialization.
+    # Bug: https://github.com/cloudpipe/cloudpickle/issues/386
+    dispatch_table[dataclasses._FIELD_BASE] = lambda x: f'{x.name}'  # pyrefly: ignore[missing-attribute]
+    dispatch_table[dataclasses._MISSING_TYPE] = lambda _: 'MISSING'
+    dispatch_table[dataclasses._HAS_DEFAULT_FACTORY_CLASS] = (  # pyrefly: ignore[missing-attribute]
+        lambda _: '_HAS_DEFAULT_FACTORY'
+    )
+    if hasattr(dataclasses, '_KW_ONLY_TYPE'):
+      dispatch_table[dataclasses._KW_ONLY_TYPE] = (
+          lambda _: '_KW_ONLY_TYPE'
+      )  # Added in Python 3.10.
+
+  with io.BytesIO() as file:
+    Pickler(file).dump(obj)
+    return file.getvalue()
+
+
+@functools.partial(profiler.annotate_function, name='pickle_util.loads')
+def loads(data: bytes) -> Any:
+  """See `pickle.loads`."""
+  if cloudpickle is None:
+    raise ModuleNotFoundError('No module named "cloudpickle"')
+
+  return cloudpickle.loads(data)