Add a parameterized validator for the given tag prefix.
    If tag_prefix is None, it is automatically constructed as
    u'!~%s(' % param_validator.__name__
    A parametrized validator is a function that accepts a document node
    (in the form of a Python object), a schema node (also a Python
    object), and other parameters (integer or string) that directly come
    from its complete YAML name in the schema.  It returns True if the
    document node is valid according to the schema node.  Note that the
    validator function does not have to recurse in sub-nodes, because
    XYS already does that.

def add_parameterized_validator(param_validator, base_tag, tag_prefix=None):
    """
    Add a parameterized validator for the given tag prefix.
    If tag_prefix is None, it is automatically constructed as
    u'!~%s(' % param_validator.__name__
    A parametrized validator is a function that accepts a document node
    (in the form of a Python object), a schema node (also a Python
    object), and other parameters (integer or string) that directly come
    from its complete YAML name in the schema.  It returns True if the
    document node is valid according to the schema node.  Note that the
    validator function does not have to recurse in sub-nodes, because
    XYS already does that.
    """
    # pylint: disable-msg=C0111,W0621
    if not tag_prefix:
        tag_prefix = u'!~%s(' % param_validator.__name__
    def multi_constructor(loader, tag_suffix, node):
        def temp_validator(node, schema):
            return param_validator(node, schema, *_split_params(tag_prefix, tag_suffix))
        temp_validator.__name__ = str(tag_prefix + tag_suffix)
        return ContructorValidatorNode(base_tag,
                                       base_tag,
                                       temp_validator)(loader, node)

    yaml.add_multi_constructor(tag_prefix, multi_constructor)