# 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 absl.testing import parameterized

from keras_cv import metrics


class SerializationTest(tf.test.TestCase, parameterized.TestCase):
    @parameterized.named_parameters(
        (
            "COCORecall",
            metrics.COCORecall,
            {"class_ids": [0, 1, 2], "bounding_box_format": "xyxy"},
        ),
        (
            "COCOMeanAveragePrecision",
            metrics.COCOMeanAveragePrecision,
            {"class_ids": [0, 1, 2], "bounding_box_format": "xyxy"},
        ),
    )
    def test_layer_serialization(self, metric_cls, init_args):
        metric = metric_cls(**init_args)
        metric_config = metric.get_config()
        reconstructed_metric = metric_cls.from_config(metric_config)

        self.assertEqual(metric.get_config(), reconstructed_metric.get_config())