
作者:麥?zhǔn)?/span>
來源:麥?zhǔn)寰幊?/span>
加注釋無疑是很好的習(xí)慣,但是有時候會被濫用。我一直持有以下幾個觀點:
先來看看什么是docstring
所以docstring是注釋,但又不是普通的注釋,可以說它具有一定的語義,可以被python的help()函數(shù)或者其他代碼識別。這些都是注釋所不具備的。
要編寫更好的代碼,最好的習(xí)慣之一是看內(nèi)置庫的源代碼。這些代碼通常都是很經(jīng)典的。
我們來看看random庫的部分源代碼:
class Random(_random.Random): """Random number generator base class used by bound module functions.
Used to instantiate instances of Random to get generators that don't
share state.
Class Random can also be subclassed if you want to use a different basic
generator of your own devising: in that case, override the following
methods: random(), seed(), getstate(), and setstate().
Optionally, implement a getrandbits() method so that randrange()
can cover arbitrarily large ranges.
""" VERSION = 3 # used by getstate/setstate def __init__(self, x=None): """Initialize an instance.
Optional argument x controls seeding, as for Random.seed().
""" self.seed(x)
self.gauss_next = None def seed(self, a=None, version=2): """Initialize internal state from a seed.
The only supported seed types are None, int, float,
str, bytes, and bytearray.
None or no argument seeds from current time or from an operating
system specific randomness source if available.
If *a* is an int, all bits are used.
For version 2 (the default), all of the bits are used if *a* is a str,
bytes, or bytearray. For version 1 (provided for reproducing random
sequences from older versions of Python), the algorithm for str and
bytes generates a narrower range of seeds.
""" if version == 1 and isinstance(a, (str, bytes)):
a = a.decode('latin-1') if isinstance(a, bytes) else a
x = ord(a[0]) << 7 if a else 0 for c in map(ord, a):
x = ((1000003 * x) ^ c) & 0xFFFFFFFFFFFFFFFF x ^= len(a)
a = -2 if x == -1 else x elif version == 2 and isinstance(a, (str, bytes, bytearray)): if isinstance(a, str):
a = a.encode()
a = int.from_bytes(a + _sha512(a).digest(), 'big') elif not isinstance(a, (type(None), int, float, str, bytes, bytearray)):
_warn('Seeding based on hashing is deprecatedn' 'since Python 3.9 and will be removed in a subsequent ' 'version. The only n' 'supported seed types are: None, ' 'int, float, str, bytes, and bytearray.',
DeprecationWarning, 2)
super().seed(a)
self.gauss_next = None def getstate(self): """Return internal state; can be passed to setstate() later.""" return self.VERSION, super().getstate(), self.gauss_next def setstate(self, state): """Restore internal state from object returned by getstate().""" version = state[0] if version == 3:
version, internalstate, self.gauss_next = state
super().setstate(internalstate) elif version == 2:
version, internalstate, self.gauss_next = state # In version 2, the state was saved as signed ints, which causes # inconsistencies between 32/64-bit systems. The state is # really unsigned 32-bit ints, so we convert negative ints from # version 2 to positive longs for version 3. try:
internalstate = tuple(x % (2 ** 32) for x in internalstate) except ValueError as e: raise TypeError from e
super().setstate(internalstate) else: raise ValueError("state with version %s passed to " "Random.setstate() of version %s" %
(version, self.VERSION))
類的開頭,和方法的開頭都有大段的docstring。
我們來試一下docstring的使用。
打開命令行窗口,進入交互式Python。
如下所示,可以看到,我們寫的docstring自動成為了一個名為__doc__的屬性:
這個屬性任何類或函數(shù)都有,只不過有的為空。
>>> import random
>>> random.__doc__
'Random variable generators.nn bytesn -----n uniform bytes (values between 0 and 255)nn integersn --------n uniform within rangenn sequencesn ---------n pick random elementn pick random samplen pick weighted random samplen generate random permutationnn distributions on the real line:n ------------------------------n uniformn triangularn normal (Gaussian)n lognormaln negative exponentialn gamman betan pareton Weibullnn distributions on the circle (angles 0 to 2pi)n ---------------------------------------------n circular uniformn von MisesnnGeneral notes on the underlying Mersenne Twister core generator:nn* The period is 2**19937-1.n* It is one of the most extensively tested generators in existence.n* The random() method is implemented in C, executes in a single Python step,n and is, therefore, threadsafe.nn'
docstring的第二個用法是,可以用help()函數(shù)打印出來。如下所示:
Python 3.10.0 (v3.10.0:b494f5935c, Oct 4 2021, 14:59:19) [Clang 12.0.5 (clang-1205.0.22.11)] on darwin
Type "help", "copyright", "credits" or "license" for more information. >>> import random >>> help(random)
這時候屏幕就會展示random模塊的docstring,這正是上面代碼中的三引號括起來的那一大段:
普通青年寫注釋,文藝青年用docstring。下一次寫類,寫函數(shù)的時候,嘗試使用docstring,而不是使用注釋吧。
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