只是好奇，我已经用Python编写了3个测试并使用timeit将它们计时：
import timeit
# simple range based on generator
def my_range(start, stop):
i = start
while (i < stop):
yield i
i += 1
# test regular range
def test_range():
x = range(1, 100000)
sum = 0
for i in x:
sum += i
# test xrange
def test_xrange():
x = xrange(1, 100000)
sum = 0
for i in x:
sum += i
# test my range
def test_my_range():
x = my_range(1, 100000)
sum = 0
for i in x:
sum += i
print timeit.timeit("test_range()", setup = "from __main__ import test_range", number = 100)
print timeit.timeit("test_xrange()", setup = "from __main__ import test_xrange", number = 100)
print timeit.timeit("test_my_range()", setup = "from __main__ import test_my_range", number = 100)
我已经获得了这些基准：
regular range based test - 0.616795163262
xrange based test - 0.537716731096
my_range (generator) based test - **1.27872886337**
我的范围甚至比创建列表的范围慢了X2。为什么呢？
是否直接使用C实施了xrange() / range()？
它们是否在没有条件检查的情况下实施？
谢谢！
答案 0 :(得分：4)
我觉得简单的答案是xrange()内置并用C语言编写。
我在测试中添加了另一个案例（见下文）：基于CPython源的xrange() import timeit
from collections import Sequence, Iterator
from math import ceil
# simple range based on generator
def my_range(start, stop):
i = start
while (i < stop):
yield i
i += 1
# test regular range
def test_range():
x = range(1, 100000)
sum = 0
for i in x:
sum += i
# test xrange
def test_xrange():
x = xrange(1, 100000)
sum = 0
for i in x:
sum += i
# test my range
def test_my_range():
x = my_range(1, 100000)
sum = 0
for i in x:
sum += i
class pure_python_xrange(Sequence):
"""Pure-Python implementation of an ``xrange`` (aka ``range``
in Python 3) object. See `the CPython documentation
<http://docs.python.org/py3k/library/functions.html#range>`_
for details.
"""
def __init__(self, *args):
if len(args) == 1:
start, stop, step = 0, args[0], 1
elif len(args) == 2:
start, stop, step = args[0], args[1], 1
elif len(args) == 3:
start, stop, step = args
else:
raise TypeError('pure_python_xrange() requires 1-3 int arguments')
try:
start, stop, step = int(start), int(stop), int(step)
except ValueError:
raise TypeError('an integer is required')
if step == 0:
raise ValueError('pure_python_xrange() arg 3 must not be zero')
elif step < 0:
stop = min(stop, start)
else:
stop = max(stop, start)
self._start = start
self._stop = stop
self._step = step
self._len = (stop - start) // step + bool((stop - start) % step)
def __repr__(self):
if self._start == 0 and self._step == 1:
return 'pure_python_xrange(%d)' % self._stop
elif self._step == 1:
return 'pure_python_xrange(%d, %d)' % (self._start, self._stop)
return 'pure_python_xrange(%d, %d, %d)' % (self._start, self._stop, self._step)
def __eq__(self, other):
return isinstance(other, xrange) and \
self._start == other._start and \
self._stop == other._stop and \
self._step == other._step
def __len__(self):
return self._len
def index(self, value):
"""Return the 0-based position of integer `value` in
the sequence this xrange represents."""
diff = value - self._start
quotient, remainder = divmod(diff, self._step)
if remainder == 0 and 0 <= quotient < self._len:
return abs(quotient)
raise ValueError('%r is not in range' % value)
def count(self, value):
"""Return the number of ocurrences of integer `value`
in the sequence this xrange represents."""
# a value can occur exactly zero or one times
return int(value in self)
def __contains__(self, value):
"""Return ``True`` if the integer `value` occurs in
the sequence this xrange represents."""
try:
self.index(value)
return True
except ValueError:
return False
def __reversed__(self):
"""Return an xrange which represents a sequence whose
contents are the same as the sequence this xrange
represents, but in the opposite order."""
sign = self._step / abs(self._step)
last = self._start + ((self._len - 1) * self._step)
return pure_python_xrange(last, self._start - sign, -1 * self._step)
def __getitem__(self, index):
"""Return the element at position ``index`` in the sequence
this xrange represents, or raise :class:`IndexError` if the
position is out of range."""
if isinstance(index, slice):
return self.__getitem_slice(index)
if index < 0:
# negative indexes access from the end
index = self._len + index
if index < 0 or index >= self._len:
raise IndexError('xrange object index out of range')
return self._start + index * self._step
def __getitem_slice(self, slce):
"""Return an xrange which represents the requested slce
of the sequence represented by this xrange.
"""
start, stop, step = slce.start, slce.stop, slce.step
if step == 0:
raise ValueError('slice step cannot be 0')
start = start or self._start
stop = stop or self._stop
if start < 0:
start = max(0, start + self._len)
if stop < 0:
stop = max(start, stop + self._len)
if step is None or step > 0:
return pure_python_xrange(start, stop, step or 1)
else:
rv = reversed(self)
rv._step = step
return rv
def __iter__(self):
"""Return an iterator which enumerates the elements of the
sequence this xrange represents."""
return xrangeiterator(self)
class xrangeiterator(Iterator):
"""An iterator for an :class:`xrange`.
"""
def __init__(self, xrangeobj):
self._xrange = xrangeobj
# Intialize the "last outputted value" to the value
# just before the first value; this simplifies next()
self._last = self._xrange._start - self._xrange._step
self._count = 0
def __iter__(self):
"""An iterator is already an iterator, so return ``self``.
"""
return self
def next(self):
"""Return the next element in the sequence represented
by the xrange we are iterating, or raise StopIteration
if we have passed the end of the sequence."""
self._last += self._xrange._step
self._count += 1
if self._count > self._xrange._len:
raise StopIteration()
return self._last
# test xrange
def test_pure_python_xrange():
x = pure_python_xrange(1, 100000)
sum = 0
for i in x:
sum += i
print timeit.timeit("test_range()", setup = "from __main__ import test_range", number = 100)
print timeit.timeit("test_xrange()", setup = "from __main__ import test_xrange", number = 100)
print timeit.timeit("test_my_range()", setup = "from __main__ import test_my_range", number = 100)
print timeit.timeit("test_pure_python_xrange()", setup = "from __main__ import test_pure_python_xrange", number = 100)
。
xrange()结果？
$ python so.py
0.426695823669
0.371111869812
0.964643001556
6.06390094757
这只是解释的Python代码和C之间的区别。此外，正如上面提到的@byels，gcloud-node仅限于短整数，这可能会产生积极的影响。
答案 1 :(得分：2)
这是一个有趣的测试。查看xrange上的python 2 docs，我想到的一个猜测是，xrange可以利用类型限制（仅使用＆＃34;短＆＃34;整数）< / p>