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#           This file was automatically generated from src/transformers/models/tipsv2/modular_tipsv2.py.
#               Do NOT edit this file manually as any edits will be overwritten by the generation of
#             the file from the modular. If any change should be done, please apply the change to the
#                          modular_tipsv2.py file directly. One of our CI enforces this.
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# Copyright 2026 Google LLC and the HuggingFace Inc. team. 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 ...processing_utils import ProcessingKwargs, ProcessorMixin
from ...utils import auto_docstring


class Tipsv2ProcessorKwargs(ProcessingKwargs, total=False):
    _defaults = {
        "text_kwargs": {
            "padding": "max_length",
            "truncation": True,
            "max_length": 64,
        },
    }


@auto_docstring
class Tipsv2Processor(ProcessorMixin):
    valid_processor_kwargs = Tipsv2ProcessorKwargs

    def __init__(self, image_processor=None, tokenizer=None):
        super().__init__(image_processor, tokenizer)


__all__ = ["Tipsv2Processor"]