How to use the dacite.types.is_instance function in dacite

def test_is_instance_with_new_type_and_matching_value_type():
    assert is_instance("test", NewType("MyStr", str))

def test_is_instance_with_built_in_type_and_not_matching_value_type():
    assert not is_instance("test", int)

def test_is_instance_with_built_in_type_and_matching_value_type():
    assert is_instance(1, int)

def test_is_instance_with_generic_collection_and_not_matching_value_type():
    assert not is_instance({1}, List[int])

if extra_fields:
            raise UnexpectedDataError(keys=extra_fields)
    for field in data_class_fields:
        field = copy.copy(field)
        field.type = data_class_hints[field.name]
        try:
            try:
                field_data = data[field.name]
                transformed_value = transform_value(
                    type_hooks=config.type_hooks, cast=config.cast, target_type=field.type, value=field_data
                )
                value = _build_value(type_=field.type, data=transformed_value, config=config)
            except DaciteFieldError as error:
                error.update_path(field.name)
                raise
            if config.check_types and not is_instance(value, field.type):
                raise WrongTypeError(field_path=field.name, field_type=field.type, value=value)
        except KeyError:
            try:
                value = get_default_value_for_field(field)
            except DefaultValueNotFoundError:
                if not field.init:
                    continue
                raise MissingValueError(field.name)
        if field.init:
            init_values[field.name] = value
        else:
            post_init_values[field.name] = value

    return create_instance(data_class=data_class, init_values=init_values, post_init_values=post_init_values)

def _build_value(type_: Type, data: Any, config: Config) -> Any:
    if is_union(type_):
        return _build_value_for_union(union=type_, data=data, config=config)
    elif is_generic_collection(type_) and is_instance(data, extract_origin_collection(type_)):
        return _build_value_for_collection(collection=type_, data=data, config=config)
    elif is_dataclass(type_) and is_instance(data, Data):
        return from_dict(data_class=type_, data=data, config=config)
    return data