# From: https://github.com/ActiveState/recipe-577504-compute-mem-footprint
# License: MIT
# Copyright: Raymond Hettinger

from collections import deque
from itertools import chain
from sys import getsizeof


def total_size(o, handlers=None):
    """ Returns the approximate memory footprint an object and all of its contents.
    Automatically finds the contents of the following builtin containers and
    their subclasses:  tuple, list, deque, dict, set and frozenset.
    To search other containers, add handlers to iterate over their contents:
        handlers = {SomeContainerClass: iter,
                    OtherContainerClass: OtherContainerClass.get_elements}
    """
    if handlers is None:
        handlers = {}

    dict_handler = lambda d: chain.from_iterable(d.items())
    all_handlers = {
        tuple: iter,
        list: iter,
        deque: iter,
        dict: dict_handler,
        set: iter,
        frozenset: iter,
    }
    all_handlers.update(handlers)  # user handlers take precedence
    seen = set()  # track which object id's have already been seen
    default_size = getsizeof(0)  # estimate sizeof object without __sizeof__

    def sizeof(o):
        if id(o) in seen:  # do not double count the same object
            return 0
        seen.add(id(o))
        s = getsizeof(o, default_size)

        for typ, handler in all_handlers.items():
            if isinstance(o, typ):
                s += sum(map(sizeof, handler(o)))
                break
        return s

    return sizeof(o)
