问题
I want to derive a class from list
, add a few instance attributes to it, and make it hashable. What is a good (fast and neat) way to do it?
UPDATE:
I deleted a lengthy explanation of a use case. I also moved a related but separate issue into a different question.
回答1:
This code is fine. You're making a copy of the list, which could be a bit slow.
def __hash__(self):
return hash(tuple(self.list_attribute))
You have several options if you want to be faster.
- Store
list_attribute
as a tuple, not a list (after it is fully constructed) - Compute the hash once at init time and store the hash value. You can do this because your class is immutable, so the hash will never change.
- Write your own hash function. Here's the hash function for tuple, do something similar.
回答2:
You can apply tuple
to self
:
class State(list):
def __hash__(self):
return hash((self.some_attribute, tuple(self)))
tuple
-ing self
takes about half the time of the whole hashing process:
from timeit import timeit
setup = "from __main__ import State; s = State(range(1000)); s.some_attribute = 'foo'"
stmt = "hash(s)"
print(timeit(stmt=stmt, setup=setup, number=100000))
setup = "r = list(range(1000))"
stmt = "tuple(r)"
print(timeit(stmt=stmt, setup=setup, number=100000))
prints
0.9382011891054844
0.3911763069244216
回答3:
This is more of a comment than an answer, but it's too long to be a comment. This is how one can accesses instance attributes from inside __new__
:
class Data(tuple):
def __new__(klass, arg):
data_inst = tuple.__new__(klass, arg)
data_inst.min = min(data_inst)
data_inst.max = max(data_inst)
return data_inst
>>> d = Data([1,2,3,4])
>>> d
(1, 2, 3, 4)
>>> d.min
1
>>> d.max
4
>>> d1 = Data([1,2,3,4,5,6])
>>> d1.max
6
>>> d.max
4
来源:https://stackoverflow.com/questions/10253783/making-a-list-subclass-hashable