# Copyright 2021 Google LLC.
#
# 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.
"""Tests for private_outputs."""

from absl.testing import absltest

import numpy as np

from clustering import private_outputs


class PrivateOutputsTest(absltest.TestCase):

  def test_data(self):
    weights = np.array([2., 3., 1.])
    data = private_outputs.PrivateWeightedData(
        np.ones(shape=(3, 2)), weights)
    self.assertSequenceAlmostEqual(data.weights, weights)


if __name__ == '__main__':
  absltest.main()
