# Copyright (c) 2026 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.

from __future__ import annotations

from typing import TYPE_CHECKING

from paddle.io import DistributedBatchSampler

if TYPE_CHECKING:
    from collections.abc import Sized


class DistributedSampler(DistributedBatchSampler):
    def __init__(
        self,
        dataset: Sized,
        num_replicas: int | None = None,
        rank: int | None = None,
        shuffle: bool = True,
        seed: int = 0,
        drop_last: bool = False,
    ) -> None:
        super().__init__(
            dataset,
            1,
            num_replicas,
            rank,
            shuffle,
            drop_last,
            seed,
        )