How Python computes 2 + 5 under the hood (part 1)

Suppose we have a very simple Python function that accepts two arguments and returns their sum, and let’s name this function with an (un)imaginative name add:

def add(x, y):
    return x + y

>>> add (2, 5)

As a bonus, since Python is a dynamic language, the function also works with (some) other argument types out of the box. If given, say, two sequences, it returns their concatenation:

>>> add([1, 2], [3, 4])
[1, 2, 3, 4]
>>> add('foo', 'bar')

How does this work, you might ask? What happens behind the scenes when we invoke add()? We will see this in a minute.

Python 3.7 will be used in the examples (currently in beta 1 at the time of writing).

The dis module

For a start, we will inspect the add() function by using a handy built-in module dis.

>>> import dis
>>> bytecode = dis.Bytecode(add)
>>> print(
Name:              add
Filename:          <stdin>
Argument count:    2
Kw-only arguments: 0
Number of locals:  2
Stack size:        2
   0: None
Variable names:
   0: x
   1: y

Besides peeking into function’s metadata, we can also disassemble it:

>>> dis.dis(add)
  2           0 LOAD_FAST                0 (x)
              2 LOAD_FAST                1 (y)
              4 BINARY_ADD
              6 RETURN_VALUE

Disassembling shows that the function is comprised of four primitive bytecode instructions, which are understood and interpreted by the Python virtual machine.

Python is a stack-based machine

In CPython implementation, the interpreter is a stack-based machine, meaning that it does not have registers, but instead uses a stack to perform the computations.

The first bytecode instruction, LOAD_FAST, pushes a reference to a particular local variable onto the stack, and the single argument to the instruction specifies which variable that is. LOAD_FAST 0 thus picks a reference to x, because x is the first local variable, i.e. at index 0, which can be also seen from the function’s metadata presented just above.

Similarly, LOAD_FAST 1 pushes a reference to y onto the stack, resulting in the following state after the first two bytecode instructions have been executed:

    +---+  <-- TOS (Top Of Stack)
    | y |
    | x |

The next instruction, BINARY_ADD, takes no arguments. It simply takes the top two elements from the stack, performs an addition on them, and pushes the result of the operation back onto the stack.

At the end, RETURN_VALUE takes whatever the remaining element on the stack is, and returns that element to the caller of the add() function.

Going even deeper (enter the C level)

The bytecode instructions themselves are also just an abstraction, and something needs to make sense of them. That “something” is the Python interpreter. In CPython, its reference implementation, this is a program written in C that loops through the bytecode given to it, and interprets the instructions in it one by one.

The heart of this machinery is implemented in Python/ceval.c file. It runs an infinite loop that contains a giant switch statement with each case (target) handling on of the possible bytecode operations.

This is how the code for the instruction BINARY_ADD looks like:

    PyObject *right = POP();
    PyObject *left = TOP();
    PyObject *sum;

    /* the computation of the "sum" omitted */

    if (sum == NULL)
        goto error;

POP(), TOP(), and SET_TOP() are convenience C macros that perform primitive interpreter stack operations such as popping the top value from the stack, or replacing the current TOS (Top Of Stack) value with a different one.

The code above is actually pretty straightforward. It pops the right-hand operand from the top of the stack, which is a reference to y in our case, and stores it under the name right. It then also stores a reference to the left-hand side operand, i.e. x, that became the new TOS.

After performing the calculation, it sets the sum, i.e. a reference to the result, as the new TOS, performs a quick error check, and dispatches the control to the next bytecode instruction in the line.

In Part 2 the representation of Python objects at C level is explained, and how adding two such objects is done.

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