The Node class in the hana_ml.visualizers.digraph module is an entity class that represents a node with unique identification, name, icon, content, and lists of input and output port names.
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Here is a Python code template for the `Node` class from the `hana_ml.visualizers.digraph` module:

```python
class Node(object):
    def __init__(self, node_id: int, node_name: str, node_icon_id: int, node_content: str, node_in_ports: list, node_out_ports: list):
        """
        The Node class of digraph framework is an entity class.

        Parameters
        ----------
        node_id : int [Automatic generation]
            Unique identification of node.
        node_name : str
            The node name.
        node_icon_id : int [Automatic generation]
            Unique identification of node icon.
        node_content : str
            The node content.
        node_in_ports : list
            List of input port names.
        node_out_ports : list
            List of output port names.
        """
        self.node_id = node_id
        self.node_name = node_name
        self.node_icon_id = node_icon_id
        self.node_content = node_content
        self.node_in_ports = node_in_ports
        self.node_out_ports = node_out_ports
```

You can use this class like this:

```python
node = Node(1, 'Node1', 1, 'Content1', ['in1', 'in2'], ['out1', 'out2'])
```

Please note that the `node_id` and `node_icon_id` parameters are marked as "[Automatic generation]" in the documentation, which suggests that these values might be automatically generated in some way. The provided template does not include any automatic generation of these values.