# Copyright 2019 The Sonnet 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.
# ============================================================================
"""Tests for sonnet.v2.src.conformance.descriptors."""

import sonnet as snt
from sonnet.src import test_utils
from sonnet.src.conformance import descriptors
import tensorflow as tf

BATCH_MODULES = descriptors.BATCH_MODULES
RECURRENT_MODULES = descriptors.RECURRENT_MODULES
OPTIMIZER_MODULES = descriptors.OPTIMIZER_MODULES
IGNORED_MODULES = descriptors.IGNORED_MODULES


class DescriptorsTest(test_utils.TestCase):

  def test_coverage(self):
    all_modules = frozenset(test_utils.find_all_sonnet_modules(snt, snt.Module))
    tested_modules = {
        type(descriptors.unwrap(d.create()))
        for d in BATCH_MODULES + RECURRENT_MODULES + OPTIMIZER_MODULES
    }
    self.assertEmpty(all_modules - (tested_modules | IGNORED_MODULES))


if __name__ == '__main__':
  tf.test.main()
