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# Copyright(c)2020-2025 Shanghai Biren Technology Co., Ltd. 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
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################################################################################

from typing import Optional

import torch
from fastcore.basics import patch_to

from vllm.v1.outputs import (DraftTokenIds, KVConnectorOutput, LogprobsLists,
                             LogprobsTensors, ModelRunnerOutput)


@patch_to(ModelRunnerOutput)
def __init__(self,
             req_ids: list[str],
             req_id_to_index: dict[str, int],
             sampled_token_ids: list[list[int]],
             logprobs: Optional[LogprobsLists],
             prompt_logprobs_dict: dict[str, Optional[LogprobsTensors]],
             pooler_output: list[Optional[torch.Tensor]],
             kv_connector_output: Optional[KVConnectorOutput] = None,
             num_nans_in_logits: Optional[dict[str, int]] = None,
             draft_token_ids: Optional["DraftTokenIds"] = None):
    self._orig___init__(req_ids, req_id_to_index, sampled_token_ids, logprobs,
                        prompt_logprobs_dict, pooler_output,
                        kv_connector_output, num_nans_in_logits)

    self.draft_token_ids = draft_token_ids