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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def validated_type(base_type, name=None, validate=None):
 """Convenient way to create a new type by adding validation to existing type. Example: :: Ipv4Address = validated_type( String, 'Ipv4Address', # regexp simplified for demo purposes Regexp('^\d+\.\d+\.\d+\.\d+$', error='Invalid IP address') ) Percentage = validated_type(Integer, validate=Range(0, 100)) # The above is the same as class Ipv4Address(String):
 def __init__(self, *args, **kwargs):
 super(Ipv4Address, self).__init__(*args, **kwargs) self.validators.insert(0, Regexp('^\d+\.\d+\.\d+\.\d+$', error='Invalid IP address')) class Percentage(Integer):
 def __init__(self, *args, **kwargs):
 super(Percentage, self).__init__(*args, **kwargs) self.validators.insert(0, Range(0, 100)) :param Type base_type: Base type for a new type. :param name str: Optional class name for new type (will be shown in places like repr). :param validate: A validator or list of validators for this data type. See `Type.validate` for details. """

    if validate is None:
        validate = []
    if not is_sequence(validate):
        validate = [validate]

    class ValidatedSubtype(base_type):
        if name is not None:
            __name__ = name

        def __init__(self, *args, **kwargs):
            super(ValidatedSubtype, self).__init__(*args, **kwargs)
            for validator in reversed(validate):
                self.validators.insert(0, validator)

    return ValidatedSubtype