text: """
   Copyright (c) 2019 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 numpy as np
  
  from mo.front.common.partial_infer.elemental import copy_shape_infer
  from mo.graph.graph import Node, Graph
  from mo.middle.passes.convert_data_type import np_data_type_to_precision
  from mo.ops.op import Op
  
  
  class Cast(Op):
      op = 'Cast'
  
      def __init__(self, graph: Graph, attrs: dict):
          mandatory_props = {
              'op': __class__.op,
              'type': 'Convert',
              'infer': __class__.infer,
              'type_infer': __class__.type_infer,
              'dst_type': None,
              'in_ports_count': 1,
              'out_ports_count': 1,
          }
          super().__init__(graph, mandatory_props, attrs)
  
      def backend_attrs(self):
          return [('precision', lambda node: np_data_type_to_precision(node.dst_type))]
  
      @staticmethod
      def type_infer(node: Node):
          assert node.has_valid('dst_type'), 'Destination type of "Cast" operation should be extracted earlier'
          node.out_port(0).set_data_type(node.dst_type)
  
      @staticmethod
      def infer(node: Node):
          assert node.has_valid('dst_type'), 'Destination type of "Cast" operation should be extracted earlier'
          copy_shape_infer(node, lambda n: n.in_node().value.astype(n.dst_type))
  