# coding=utf-8
# Copyright 2023 The TensorFlow Datasets Authors.
#
# 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
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# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
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"""DAS beamformed phantom images and paired clinical post-processed images test."""

from tensorflow_datasets import testing
from tensorflow_datasets.datasets.duke_ultrasound import duke_ultrasound_dataset_builder


class DukeUltrasoundTest(testing.DatasetBuilderTestCase):
  DATASET_CLASS = duke_ultrasound_dataset_builder.Builder
  OVERLAPPING_SPLITS = ["A", "B", "TRAIN"]

  SPLITS = {"train": 1, "test": 1, "validation": 1, "MARK": 1, "A": 1, "B": 1}

  DL_EXTRACT_RESULT = {
      "mark_data": "data",
      "phantom_data": "data",
      "train": "train.csv",
      "test": "test.csv",
      "validation": "validation.csv",
      "A": "train.csv",
      "B": "train.csv",
      "MARK": "mark.csv",
  }


if __name__ == "__main__":
  testing.test_main()
