Created
June 2, 2019 06:38
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Approx. calculate memory ussage by object in Python
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from __future__ import print_function | |
from sys import getsizeof, stderr | |
from itertools import chain | |
from collections import deque | |
try: | |
from reprlib import repr | |
except ImportError: | |
pass | |
def total_size(o, handlers={}, verbose=False): | |
""" 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} | |
""" | |
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) | |
if verbose: | |
print(s, type(o), repr(o), file=stderr) | |
for typ, handler in all_handlers.items(): | |
if isinstance(o, typ): | |
s += sum(map(sizeof, handler(o))) | |
break | |
return s | |
return sizeof(o) |
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