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- # Copyright (c) 2024 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 .base_result import BaseResult
- from .mixin import CSVMixin, ImgMixin
- class BaseTSResult(BaseResult, CSVMixin, ImgMixin):
- """Base class for times series results."""
- INPUT_TS_KEY = "input_ts"
- def __init__(self, data: dict) -> None:
- """
- Initialize the BaseTSResult.
- Args:
- data (dict): The initial data.
- Raises:
- AssertionError: If the required key (`BaseTSResult.INPUT_TS_KEY`) are not found in the data.
- """
- assert (
- BaseTSResult.INPUT_TS_KEY in data
- ), f"`{BaseTSResult.INPUT_TS_KEY}` is needed, but not found in `{list(data.keys())}`!"
- data.pop("input_ts", None)
- super().__init__(data)
- CSVMixin.__init__(self, "pandas")
- ImgMixin.__init__(self, "pillow")
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