text: """
   Copyright (C) 2018-2020 Intel Corporation
  
   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.
  """
  
  import unittest
  
  import numpy as np
  
  from extensions.front.caffe.pooling_ext import PoolingFrontExtractor
  from mo.front.common.extractors.utils import layout_attrs
  from mo.ops.pooling import Pooling
  from mo.utils.unittest.extractors import PB, FakeMultiParam
  
  
  class FakeProtoLayer:
      def __init__(self, val):
          self.pooling_param = val
  
  
  class TestPooling(unittest.TestCase):
      def test_pooling_ext_global(self):
          params = {
              'kernel_size': 1,
              'stride': 2,
              'pad': 3,
              'pool': 0,
              'global_pooling': 1,
              'ceil_mode': 1
          }
          node = PB({'pb': FakeProtoLayer(FakeMultiParam(params))})
          PoolingFrontExtractor.extract(node)
          res = node
          exp_res = {
              'window': np.array([1, 1, 0, 0], dtype=np.int64),
              'stride': np.array([1, 1, 1, 1], dtype=np.int64),
              'pad': np.array([[0, 0], [0, 0], [0, 0], [0, 0]], dtype=np.int64),
              'pad_spatial_shape': np.array([[0, 0], [0, 0]], dtype=np.int64),
              'pool_method': 'max',
              'exclude_pad': 'true',
              'infer': Pooling.infer,
              'global_pool': 1,
              'output_spatial_shape': None,
              'pooling_convention': 'full',
              'rounding_type': 'ceil'
  
          }
          exp_res.update(layout_attrs())
          for i in exp_res.keys():
              if i in ('window', 'stride',
                       'pad', 'pad_spatial_shape',
                       'spatial_dims', 'batch_dims',
                       'channel_dims'):
                  np.testing.assert_array_equal(res[i], exp_res[i])
              else:
                  self.assertEqual(res[i], exp_res[i])
  
      def test_pooling_ext(self):
          params = {
              'kernel_size': 1,
              'stride': 2,
              'pad': 3,
              'pool': 1,
              'global_pooling': 0,
              'ceil_mode': 0
          }
          node = PB({'pb': FakeProtoLayer(FakeMultiParam(params))})
          PoolingFrontExtractor.extract(node)
          res = node
          exp_res = {
              'window': np.array([1, 1, 1, 1], dtype=np.int64),
              'stride': np.array([1, 1, 2, 2], dtype=np.int64),
              'pad': np.array([[0, 0], [0, 0], [3, 3], [3, 3]], dtype=np.int64),
              'pad_spatial_shape': np.array([[3, 3], [3, 3]], dtype=np.int64),
              'pool_method': 'avg',
              'exclude_pad': 'false',
              'infer': Pooling.infer,
              'global_pool': 0,
              'output_spatial_shape': None,
              'pooling_convention': 'valid'
          }
          exp_res.update(layout_attrs())
          for i in exp_res.keys():
              if i in ('window', 'stride',
                       'pad', 'pad_spatial_shape',
                       'spatial_dims', 'batch_dims',
                       'channel_dims'):
                  np.testing.assert_array_equal(res[i], exp_res[i])
              else:
                  self.assertEqual(res[i], exp_res[i])
  
      def test_pooling_ext_exception(self):
          params = {
              'kernel_size': 1,
              'stride': 2,
              'pad': 3,
              'pool': 3,
              'global_pooling': 1
          }
          node = PB({'pb': FakeProtoLayer(FakeMultiParam(params))})
          self.assertRaises(ValueError, PoolingFrontExtractor.extract, node)
  