text: """
   Copyright (C) 2018-2021 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.ops.sparse_fill_empty_rows import SparseFillEmptyRows
  from mo.front.common.partial_infer.utils import int64_array
  from mo.graph.graph import Node
  from mo.utils.unittest.graph import build_graph
  
  nodes_attributes = {'input_indices': {'shape': None, 'value': None, 'kind': 'data'},
                      'input_values': {'shape': None, 'value': None, 'kind': 'data'},
                      'dense_shape': {'shape': None, 'value': None, 'kind': 'data'},
                      'default_value': {'shape': None, 'value': None, 'kind': 'data'},
                      'sparse_fill_empty_rows_node': {'op': 'SparseFillEmptyRows', 'kind': 'op'},
                      'output_indices': {'shape': None, 'value': None, 'kind': 'data'},
                      'output_values': {'shape': None, 'value': None, 'kind': 'data'},
                      'empty_row_indicator': {'shape': None, 'value': None, 'kind': 'data'},
                      }
  
  # graph 1
  edges1 = [('input_indices', 'sparse_fill_empty_rows_node', {'in': 0}),
            ('input_values', 'sparse_fill_empty_rows_node', {'in': 1}),
            ('dense_shape', 'sparse_fill_empty_rows_node', {'in': 2}),
            ('default_value', 'sparse_fill_empty_rows_node', {'in': 3}),
            ('sparse_fill_empty_rows_node', 'output_indices', {'out': 0}),
            ('sparse_fill_empty_rows_node', 'output_values', {'out': 1}),
            ('sparse_fill_empty_rows_node', 'empty_row_indicator', {'out': 2})]
  
  inputs1 = {'input_indices': {'shape': int64_array([20, 2]), 'value': None},
             'input_values': {'shape': int64_array([20]), 'value': None},
             'dense_shape': {'shape': int64_array([2]), 'value': np.array([4, 5])},
             'default_value': {'shape': int64_array([]), 'value': None}}
  
  class TestSparseFillEmptyRows(unittest.TestCase):
      def test_partial_infer(self):
          graph = build_graph(nodes_attributes, edges1, inputs1)
  
          sparse_fill_empty_rows_node = Node(graph, 'sparse_fill_empty_rows_node')
          SparseFillEmptyRows.infer(sparse_fill_empty_rows_node)
  
          # prepare reference results
          ref_output_indices_shape = int64_array([20, 2])
          ref_output_values_shape = int64_array([20])
          ref_empty_row_indicator_shape = int64_array([4])
  
          # get resulted shapes
          res_output_indices_shape = graph.node['output_indices']['shape']
          res_output_values_shape = graph.node['output_values']['shape']
          res_empty_row_indicator_shape = graph.node['empty_row_indicator']['shape']
  
          self.assertTrue(np.array_equal(ref_output_indices_shape, res_output_indices_shape),
                          'shapes do not match expected: {} and given: {}'.format(ref_output_indices_shape, res_output_indices_shape))
  
          self.assertTrue(np.array_equal(ref_output_values_shape, res_output_values_shape),
                          'shapes do not match expected: {} and given: {}'.format(ref_output_values_shape, res_output_values_shape))
  
          self.assertTrue(np.array_equal(ref_empty_row_indicator_shape, res_empty_row_indicator_shape),
                          'shapes do not match expected: {} and given: {}'.format(ref_empty_row_indicator_shape, res_empty_row_indicator_shape))
  
      def test_partial_infer_for_some_out_ports(self):
          edges = [('input_indices', 'sparse_fill_empty_rows_node', {'in': 0}),
                   ('input_values', 'sparse_fill_empty_rows_node', {'in': 1}),
                   ('dense_shape', 'sparse_fill_empty_rows_node', {'in': 2}),
                   ('default_value', 'sparse_fill_empty_rows_node', {'in': 3}),
                   ('sparse_fill_empty_rows_node', 'output_indices', {'out': 0}),
                   ('sparse_fill_empty_rows_node', 'empty_row_indicator', {'out': 2})]
          graph = build_graph(nodes_attributes, edges, inputs1)
  
          sparse_fill_empty_rows_node = Node(graph, 'sparse_fill_empty_rows_node')
          SparseFillEmptyRows.infer(sparse_fill_empty_rows_node)
  
          # prepare reference results
          ref_output_indices_shape = int64_array([20, 2])
          ref_empty_row_indicator_shape = int64_array([4])
  
          # get resulted shapes
          res_output_indices_shape = graph.node['output_indices']['shape']
          res_empty_row_indicator_shape = graph.node['empty_row_indicator']['shape']
  
          self.assertTrue(np.array_equal(ref_output_indices_shape, res_output_indices_shape),
                          'shapes do not match expected: {} and given: {}'.format(ref_output_indices_shape, res_output_indices_shape))
  
          self.assertTrue(np.array_equal(ref_empty_row_indicator_shape, res_empty_row_indicator_shape),
                          'shapes do not match expected: {} and given: {}'.format(ref_empty_row_indicator_shape, res_empty_row_indicator_shape))
  
      def test_incorrect_shape_of_default_value(self):
          inputs = {'input_indices': {'shape': int64_array([20, 2]), 'value': None},
                     'input_values': {'shape': int64_array([20]), 'value': None},
                     'dense_shape': {'shape': int64_array([2]), 'value': np.array([4, 5])},
                     'default_value': {'shape': int64_array([3]), 'value': None}}
          graph = build_graph(nodes_attributes, edges1, inputs)
          sparse_fill_empty_rows_node = Node(graph, 'sparse_fill_empty_rows_node')
          self.assertRaises(AssertionError, SparseFillEmptyRows.infer, sparse_fill_empty_rows_node)
  
      def test_no_value_of_dense_shape(self):
          inputs = {'input_indices': {'shape': int64_array([20, 2]), 'value': None},
                     'input_values': {'shape': int64_array([20]), 'value': None},
                     'dense_shape': {'shape': int64_array([2]), 'value': None},
                     'default_value': {'shape': int64_array([]), 'value': None}}
          graph = build_graph(nodes_attributes, edges1, inputs)
          sparse_fill_empty_rows_node = Node(graph, 'sparse_fill_empty_rows_node')
          self.assertRaises(AssertionError, SparseFillEmptyRows.infer, sparse_fill_empty_rows_node)
  
      def test_incorrect_shape_of_dense_shape(self):
          inputs = {'input_indices': {'shape': int64_array([20, 2]), 'value': None},
                     'input_values': {'shape': int64_array([20]), 'value': None},
                     'dense_shape': {'shape': int64_array([2, 2]), 'value': np.array([[4, 5],[1, 2]])},
                     'default_value': {'shape': int64_array([]), 'value': None}}
          graph = build_graph(nodes_attributes, edges1, inputs)
          sparse_fill_empty_rows_node = Node(graph, 'sparse_fill_empty_rows_node')
          self.assertRaises(AssertionError, SparseFillEmptyRows.infer, sparse_fill_empty_rows_node)
  