How to use the jedi.evaluate.compiled.create function in jedi

def _element_calculate(evaluator, left, operator, right):
    from jedi.evaluate import iterable, representation as er
    l_is_num = _is_number(left)
    r_is_num = _is_number(right)
    if operator == '*':
        # for iterables, ignore * operations
        if isinstance(left, iterable.Array) or is_string(left):
            return set([left])
        elif isinstance(right, iterable.Array) or is_string(right):
            return set([right])
    elif operator == '+':
        if l_is_num and r_is_num or is_string(left) and is_string(right):
            return set([create(evaluator, left.obj + right.obj)])
        elif _is_tuple(left) and _is_tuple(right) or _is_list(left) and _is_list(right):
            return set([iterable.MergedArray(evaluator, (left, right))])
    elif operator == '-':
        if l_is_num and r_is_num:
            return set([create(evaluator, left.obj - right.obj)])
    elif operator == '%':
        # With strings and numbers the left type typically remains. Except for
        # `int() % float()`.
        return set([left])
    elif operator in COMPARISON_OPERATORS:
        operation = COMPARISON_OPERATORS[operator]
        if isinstance(left, CompiledObject) and isinstance(right, CompiledObject):
            # Possible, because the return is not an option. Just compare.
            left = left.obj
            right = right.obj

def py__class__(self):
        return compiled.create(self.evaluator, type)

returns = funcdef.iter_return_stmts()
            types = set(docstrings.infer_return_types(self.function_context))
            types |= set(pep0484.infer_return_types(self.function_context))

        for r in returns:
            check = flow_analysis.reachability_check(self, funcdef, r)
            if check is flow_analysis.UNREACHABLE:
                debug.dbg('Return unreachable: %s', r)
            else:
                if check_yields:
                    types |= set(self._eval_yield(r))
                else:
                    try:
                        children = r.children
                    except AttributeError:
                        types.add(compiled.create(self.evaluator, None))
                    else:
                        types |= self.eval_node(children[1])
            if check is flow_analysis.REACHABLE:
                debug.dbg('Return reachable: %s', r)
                break
        return types

l_is_num = _is_number(left)
    r_is_num = _is_number(right)
    if operator == '*':
        # for iterables, ignore * operations
        if isinstance(left, iterable.Array) or is_string(left):
            return [left]
        elif isinstance(right, iterable.Array) or is_string(right):
            return [right]
    elif operator == '+':
        if l_is_num and r_is_num or is_string(left) and is_string(right):
            return [create(evaluator, left.obj + right.obj)]
        elif _is_tuple(left) and _is_tuple(right) or _is_list(left) and _is_list(right):
            return [iterable.MergedArray(evaluator, (left, right))]
    elif operator == '-':
        if l_is_num and r_is_num:
            return [create(evaluator, left.obj - right.obj)]
    elif operator == '%':
        # With strings and numbers the left type typically remains. Except for
        # `int() % float()`.
        return [left]
    elif operator in COMPARISON_OPERATORS:
        operation = COMPARISON_OPERATORS[operator]
        if isinstance(left, CompiledObject) and isinstance(right, CompiledObject):
            # Possible, because the return is not an option. Just compare.
            left = left.obj
            right = right.obj

        try:
            return [keyword_from_value(operation(left, right))]
        except TypeError:
            # Could be True or False.
            return [true_obj, false_obj]

@argument_clinic('obj, type, /', want_arguments=True)
def builtins_isinstance(evaluator, objects, types, arguments):
    bool_results = set([])
    for o in objects:
        try:
            mro_func = o.py__class__().py__mro__
        except AttributeError:
            # This is temporary. Everything should have a class attribute in
            # Python?! Maybe we'll leave it here, because some numpy objects or
            # whatever might not.
            return set([compiled.create(True), compiled.create(False)])

        mro = mro_func()

        for cls_or_tup in types:
            if cls_or_tup.is_class():
                bool_results.add(cls_or_tup in mro)
            elif cls_or_tup.name.string_name == 'tuple' \
                    and cls_or_tup.get_root_context() == evaluator.BUILTINS:
                # Check for tuples.
                classes = unite(
                    lazy_context.infer()
                    for lazy_context in cls_or_tup.py__iter__()
                )
                bool_results.add(any(cls in mro for cls in classes))
            else:
                _, lazy_context = list(arguments.unpack())[1]

def eval_call_path(self, path, scope, position):
        """
        Follows a path generated by `pr.StatementElement.generate_call_path()`.
        """
        current = next(path)

        if isinstance(current, pr.Array):
            types = [iterable.Array(self, current)]
        else:
            if isinstance(current, pr.NamePart):
                # This is the first global lookup.
                types = self.find_types(scope, current, position=position,
                                        search_global=True)
            else:
                # for pr.Literal
                types = [compiled.create(self, current.value)]
            types = imports.follow_imports(self, types)

        return self.follow_path(path, types, scope)

with open(path) as f:
                    source = source_to_unicode(f.read())
                mod = FastParser(source, path[:-1]).module
                if not parser_path:
                    return mod
                found = self._evaluator.eval_call_path(iter(parser_path), mod, None)
                if found:
                    return found[0]
                debug.warning('Interpreter lookup for Python code failed %s',
                              mod)

        module = compiled.CompiledObject(raw_module)
        if raw_module == builtins:
            # The builtins module is special and always cached.
            module = compiled.builtin
        return compiled.create(self._evaluator, self._value, module, module)

l_is_num = _is_number(left)
    r_is_num = _is_number(right)
    if operator == '*':
        # for iterables, ignore * operations
        if isinstance(left, iterable.Array) or _is_string(left):
            return [left]
        elif isinstance(right, iterable.Array) or _is_string(right):
            return [right]
    elif operator == '+':
        if l_is_num and r_is_num or _is_string(left) and _is_string(right):
            return [create(evaluator, left.obj + right.obj)]
        elif _is_tuple(left) and _is_tuple(right) or _is_list(left) and _is_list(right):
            return [iterable.MergedArray(evaluator, (left, right))]
    elif operator == '-':
        if l_is_num and r_is_num:
            return [create(evaluator, left.obj - right.obj)]
    elif operator == '%':
        # With strings and numbers the left type typically remains. Except for
        # `int() % float()`.
        return [left]

    def check(obj):
        """Checks if a Jedi object is either a float or an int."""
        return isinstance(obj, er.Instance) and obj.name in ('int', 'float')

    # Static analysis, one is a number, the other one is not.
    if operator in ('+', '-') and l_is_num != r_is_num \
            and not (check(left) or check(right)):
        message = "TypeError: unsupported operand type(s) for +: %s and %s"
        analysis.add(evaluator, 'type-error-operation', operator,
                     message % (left, right))

elif operator == '%':
        # With strings and numbers the left type typically remains. Except for
        # `int() % float()`.
        return set([left])
    elif operator in COMPARISON_OPERATORS:
        operation = COMPARISON_OPERATORS[operator]
        if isinstance(left, CompiledObject) and isinstance(right, CompiledObject):
            # Possible, because the return is not an option. Just compare.
            left = left.obj
            right = right.obj

        try:
            result = operation(left, right)
        except TypeError:
            # Could be True or False.
            return set([create(evaluator, True), create(evaluator, False)])
        else:
            return set([create(evaluator, result)])
    elif operator == 'in':
        return set()

    def check(obj):
        """Checks if a Jedi object is either a float or an int."""
        return isinstance(obj, er.Instance) and obj.name.get_code() in ('int', 'float')

    # Static analysis, one is a number, the other one is not.
    if operator in ('+', '-') and l_is_num != r_is_num \
            and not (check(left) or check(right)):
        message = "TypeError: unsupported operand type(s) for +: %s and %s"
        analysis.add(evaluator, 'type-error-operation', operator,
                     message % (left, right))

def _check_getattr(self, inst):
        """Checks for both __getattr__ and __getattribute__ methods"""
        # str is important, because it shouldn't be `Name`!
        name = compiled.create(self._evaluator, self._string_name)

        # This is a little bit special. `__getattribute__` is in Python
        # executed before `__getattr__`. But: I know no use case, where
        # this could be practical and where Jedi would return wrong types.
        # If you ever find something, let me know!
        # We are inversing this, because a hand-crafted `__getattribute__`
        # could still call another hand-crafted `__getattr__`, but not the
        # other way around.
        names = (inst.get_function_slot_names('__getattr__') or
                 inst.get_function_slot_names('__getattribute__'))
        return inst.execute_function_slots(names, name)