# Copyright 2022 The KerasCV 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
#
#     https://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.
import tensorflow as tf

from keras_cv.layers.preprocessing.equalization import Equalization


class EqualizationTest(tf.test.TestCase):
    def test_return_shapes(self):
        xs = 255 * tf.ones((2, 512, 512, 3), dtype=tf.int32)
        layer = Equalization()
        xs = layer(xs)

        self.assertEqual(xs.shape, [2, 512, 512, 3])
        self.assertAllEqual(xs, 255 * tf.ones((2, 512, 512, 3)))
