# Copyright (c) 2021 - present / Neuralmagic, Inc. 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 typing import Dict

from compressed_tensors.transform import TransformScheme
from pydantic import BaseModel, ConfigDict


__all__ = ["TransformConfig"]


class TransformConfig(BaseModel):
    """
    Configuration of transforms to be applied to a model. This config is to be
    serialized within a model's `config.json` file

    :param config_groups: A dictionary of `TransformSchemes` that should be applied
        to a particular model. The keys can be any arbitrary string
    """

    config_groups: Dict[str, TransformScheme]

    model_config = ConfigDict(extra="forbid")