I've got a loop that wants to execute to exhaustion or until some user specified limit is reached. I've got a construct that looks bad yet I can't seem to find a more elegant way to express it; is there one?
我有一个循环,想要执行到耗尽或直到达到一些用户指定的限制。我有一个看起来不好的结构,但我似乎找不到更优雅的表达方式;有吗?
def ello_bruce(limit=None):
for i in xrange(10**5):
if predicate(i):
if not limit is None:
limit -= 1
if limit <= 0:
break
def predicate(i):
# lengthy computation
return True
Holy nesting! There has to be a better way. For purposes of a working example, xrange
is used where I normally have an iterator of finite but unknown length (and predicate sometimes returns False).
神圣的筑巢!一定有更好的方法。出于工作示例的目的,使用xrange,其中我通常具有有限但未知长度的迭代器(并且谓词有时返回False)。
6 个解决方案
#1
11
Maybe something like this would be a little better:
也许这样的事情会好一点:
from itertools import ifilter, islice
def ello_bruce(limit=None):
for i in islice(ifilter(predicate, xrange(10**5)), limit):
# do whatever you want with i here
#2
2
I'd take a good look at the itertools library. Using that, I think you'd have something like...
我会好好看一下itertools库。使用它,我想你会有......
# From the itertools examples
def tabulate(function, start=0):
return imap(function, count(start))
def take(n, iterable):
return list(islice(iterable, n))
# Then something like:
def ello_bruce(limit=None):
take(filter(tabulate(predicate)), limit)
#3
1
I'd start with
我先说
if limit is None: return
since nothing can ever happen to limit
when it starts as None
(if there are no desirable side effects in the iteration and in the computation of predicate
-- if there are, then, in this case you can just do for i in xrange(10**5): predicate(i)
).
因为没有任何事情可以发生限制,当它开始为无(如果在迭代和谓词的计算中没有理想的副作用 - 如果有,那么,在这种情况下,你可以在xrange中为我做(10) ** 5):谓词(i))。
If limit
is not None
, then you just want to perform max(limit, 1)
computations of predicate
that are true, so an itertools.islice
of an itertools.ifilter
would do:
如果limit不是None,那么你只想执行谓词的max(limit,1)计算是真的,所以itertools.isilice的itertools.islice会这样做:
import itertools as it
def ello_bruce(limit=None):
if limit is None:
for i in xrange(10**5): predicate(i)
else:
for _ in it.islice(
it.ifilter(predicate, xrange(10**5),
max(limit, 1)): pass
#4
1
You should remove the nested ifs:
您应该删除嵌套的ifs:
if predicate(i) and not limit is None:
...
#5
0
What you want to do seems perfectly suited for a while loop:
你想做什么似乎非常适合while循环:
def ello_bruce(limit=None):
max = 10**5
# if you consider 0 to be an invalid value for limit you can also do
# if limit:
if limit is None:
limit = max
while max and limit:
if predicate(i):
limit -= 1
max -=1
The loop stops if either max
or limit
reaches zero.
如果max或limit达到零,则循环停止。
#6
0
Um. As far as I understand it, predicate
just computes in segments, and you totally ignore its return value, right?
嗯。据我所知,谓词只是按段计算,你完全忽略它的返回值,对吧?
This is another take:
这是另一种看法:
import itertools
def ello_bruce(limit=None):
if limit is None:
limiter= itertools.repeat(None)
else:
limiter= xrange(limit)
# since predicate is a Python function
# itertools looping won't be faster, so use plain for.
# remember to replace the xrange(100000) with your own iterator
for dummy in itertools.izip(xrange(100000), limiter):
pass
Also, remove the unneeded return True
from the end of predicate
.
另外,从谓词末尾删除不需要的返回True。
#1
11
Maybe something like this would be a little better:
也许这样的事情会好一点:
from itertools import ifilter, islice
def ello_bruce(limit=None):
for i in islice(ifilter(predicate, xrange(10**5)), limit):
# do whatever you want with i here
#2
2
I'd take a good look at the itertools library. Using that, I think you'd have something like...
我会好好看一下itertools库。使用它,我想你会有......
# From the itertools examples
def tabulate(function, start=0):
return imap(function, count(start))
def take(n, iterable):
return list(islice(iterable, n))
# Then something like:
def ello_bruce(limit=None):
take(filter(tabulate(predicate)), limit)
#3
1
I'd start with
我先说
if limit is None: return
since nothing can ever happen to limit
when it starts as None
(if there are no desirable side effects in the iteration and in the computation of predicate
-- if there are, then, in this case you can just do for i in xrange(10**5): predicate(i)
).
因为没有任何事情可以发生限制,当它开始为无(如果在迭代和谓词的计算中没有理想的副作用 - 如果有,那么,在这种情况下,你可以在xrange中为我做(10) ** 5):谓词(i))。
If limit
is not None
, then you just want to perform max(limit, 1)
computations of predicate
that are true, so an itertools.islice
of an itertools.ifilter
would do:
如果limit不是None,那么你只想执行谓词的max(limit,1)计算是真的,所以itertools.isilice的itertools.islice会这样做:
import itertools as it
def ello_bruce(limit=None):
if limit is None:
for i in xrange(10**5): predicate(i)
else:
for _ in it.islice(
it.ifilter(predicate, xrange(10**5),
max(limit, 1)): pass
#4
1
You should remove the nested ifs:
您应该删除嵌套的ifs:
if predicate(i) and not limit is None:
...
#5
0
What you want to do seems perfectly suited for a while loop:
你想做什么似乎非常适合while循环:
def ello_bruce(limit=None):
max = 10**5
# if you consider 0 to be an invalid value for limit you can also do
# if limit:
if limit is None:
limit = max
while max and limit:
if predicate(i):
limit -= 1
max -=1
The loop stops if either max
or limit
reaches zero.
如果max或limit达到零,则循环停止。
#6
0
Um. As far as I understand it, predicate
just computes in segments, and you totally ignore its return value, right?
嗯。据我所知,谓词只是按段计算,你完全忽略它的返回值,对吧?
This is another take:
这是另一种看法:
import itertools
def ello_bruce(limit=None):
if limit is None:
limiter= itertools.repeat(None)
else:
limiter= xrange(limit)
# since predicate is a Python function
# itertools looping won't be faster, so use plain for.
# remember to replace the xrange(100000) with your own iterator
for dummy in itertools.izip(xrange(100000), limiter):
pass
Also, remove the unneeded return True
from the end of predicate
.
另外,从谓词末尾删除不需要的返回True。