Is there a way to automatically bind to self
(some of) the arguments of the __init__
method?
I mean something like:
class Person:
@lazy_init
def __init__(self, name, age, address):
...
... instead of:
class Person:
def __init__(self, name, age, address):
self.name = name
self.age = age
self.address = address
...
I wonder if there is something similar that people already use in such cases. Or there is any reason I'm not supposed to d开发者_StackOverflow社区o it this way in the first place?
It's definitely possible, here's a somewhat naive implementation:
from functools import wraps
def lazy_init(init):
import inspect
arg_names = inspect.getargspec(init)[0]
@wraps(init)
def new_init(self, *args):
for name, value in zip(arg_names[1:], args):
setattr(self, name, value)
init(self, *args)
return new_init
class Person:
@lazy_init
def __init__(self, name, age):
pass
p = Person("Derp", 13)
print p.name, p.age
Once you start having something besides attributes that map to properties, you're going to run into trouble though. You'll need at least some way to specify which args to initialize as properties... at which point it'll just become more hassle than it's worth.
For future reference for all others who encounter this question in the future (Python 3.7 or above): There is the dataclass decorator that does exactly this.
Example
from dataclasses import dataclass
@dataclass
class Person:
name
age
address
# other methods...
You can either use data classes as of Python 3.7 like this:
from dataclasses import dataclass
@dataclass
class MyClass:
var_1: str
var_2: float
Or you can make use of the store_attr()
method from the fastcore
lib like this:
from fastcore.utils import store_attr
class MyClass:
def __init__(self, var_1, var_2):
store_attr()
Both result in the equivalent init method:
def __init__(self, var_1, var_2):
self.var_1 = var_1
self.var_2 = var_2
http://code.activestate.com/recipes/551763-automatic-attribute-assignment/ is what you're looking for.
Also see What is the best way to do automatic attribute assignment in Python, and is it a good idea?
Here it goes, in simplest form:
def lazy_init(*param_names):
def ret(old_init):
def __init__(self, *args, **kwargs):
if len(args) > len(param_names):
raise TypeError("Too many arguments")
for k in kwargs:
if k not in param_names:
raise TypeError("Arg %r unexpected" % k)
for par, arg in zip(param_names, args):
setattr(self, par, arg)
for par, arg in kwargs.items():
setattr(self, par, arg)
old_init(*args, **kwargs)
return __init__
#
return ret
class Q(object):
@lazy_init("a", "b")
def __init__(self, *args, **kwargs):
print "Original init"
>>> q = Q(1, 2)
Original init
>>> q.a, q.b
(1, 2)
Consider making a class decorator to cover __str__
too.
initify.py created by me :) it does exactly what you'd expect.
class Animal:
@init_args(exclude=["name"])
def __init__(self, name):
pass
or with default values:
class Animal:
@init_args
def __init__(self, name="Default name"):
pass
or even excluding inheritance:
class Dog(Animal):
@init_args(exclude=["name"])
def __init__(self, species):
pass
https://github.com/prankymat/initify.py
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