chore: import upstream snapshot with attribution
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# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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from paddle.base import core
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from paddle.device.cpu import get_rng_state, set_rng_state # noqa: F401
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__all__ = ["initial_seed"]
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def initial_seed() -> int:
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"""
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Returns the initial seed for generating random numbers as a Python `int`.
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Returns:
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int: The 64-bit initial seed of the default generator on CPU place only.
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Examples:
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.. code-block:: pycon
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>>> import paddle
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>>> s = paddle.random.initial_seed()
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"""
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return core.default_cpu_generator().initial_seed()
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