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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 collections.abc import Mapping

from vllm.model_executor.models.qwen2_vl import (Qwen2VLDummyInputsBuilder,
                                                 Qwen2VLProcessingInfo)
from vllm.multimodal.parse import ImageSize


def get_image_size_with_most_features(self) -> ImageSize:
    """This function is used in Qwen2_VL, Qwen2_5_VL, patch it in qwen2_vl.py"""
    max_image_size, _ = self._get_vision_info(
        image_width=240,
        image_height=240,
        image_processor=None,
    )
    return max_image_size


def get_dummy_text(self, mm_counts: Mapping[str, int]) -> str:
    num_images = 1
    num_videos = 0

    hf_processor = self.info.get_hf_processor()
    image_token: str = hf_processor.image_token
    video_token: str = hf_processor.video_token

    return image_token * num_images + video_token * num_videos


Qwen2VLProcessingInfo.get_image_size_with_most_features = (
    get_image_size_with_most_features)
Qwen2VLDummyInputsBuilder.get_dummy_text = get_dummy_text