Question:
>>> timeit.timeit("'x' in ('x',)")
0.04869917374131205
>>> timeit.timeit("'x' == 'x'")
0.06144205736110564
Also works for multiple options, both seem to grow linearly:
>>> timeit.timeit("'x' in ('x', 'y')")
0.04866674801541748
>>> timeit.timeit("'x' == 'x' or 'x' == 'y'")
0.06565782838087131
>>> timeit.timeit("'x' in ('y', 'x')")
0.08975995576448526
>>> timeit.timeit("'x' == 'y' or 'x' == 'y'")
0.12992391047427532
Based on this, I think I should start using in
everywhere
instead of ==
!!
Answer:
As I mentioned to David Wolever, there's more to this than meets the eye; both methods dispatch to is
;
you can prove this by doing
min(Timer("x == x", setup="x = 'a' * 1000000").repeat(10, 10000))
#>>> 0.00045456900261342525
min(Timer("x == y", setup="x = 'a' * 1000000; y = 'a' * 1000000").repeat(10, 10000))
#>>> 0.5256857610074803
The first can only be so fast because it checks by identity.
To find out why one would take longer than the other, let's trace through execution.
They both start in ceval.c
,
from COMPARE_OP
since
that is the bytecode involved
TARGET(COMPARE_OP) {
PyObject *right = POP();
PyObject *left = TOP();
PyObject *res = cmp_outcome(oparg, left, right);
Py_DECREF(left);
Py_DECREF(right);
SET_TOP(res);
if (res == NULL)
goto error;
PREDICT(POP_JUMP_IF_FALSE);
PREDICT(POP_JUMP_IF_TRUE);
DISPATCH();
}
This pops the values from the stack (technically it only pops one)
PyObject *right = POP();
PyObject *left = TOP();
and runs the compare:
PyObject *res = cmp_outcome(oparg, left, right);
cmp_outcome
is
this:
static PyObject *
cmp_outcome(int op, PyObject *v, PyObject *w)
{
int res = 0;
switch (op) {
case PyCmp_IS: ...
case PyCmp_IS_NOT: ...
case PyCmp_IN:
res = PySequence_Contains(w, v);
if (res < 0)
return NULL;
break;
case PyCmp_NOT_IN: ...
case PyCmp_EXC_MATCH: ...
default:
return PyObject_RichCompare(v, w, op);
}
v = res ? Py_True : Py_False;
Py_INCREF(v);
return v;
}
This is where the paths split. The PyCmp_IN
branch
does
int
PySequence_Contains(PyObject *seq, PyObject *ob)
{
Py_ssize_t result;
PySequenceMethods *sqm = seq->ob_type->tp_as_sequence;
if (sqm != NULL && sqm->sq_contains != NULL)
return (*sqm->sq_contains)(seq, ob);
result = _PySequence_IterSearch(seq, ob, PY_ITERSEARCH_CONTAINS);
return Py_SAFE_DOWNCAST(result, Py_ssize_t, int);
}
Note that a tuple is defined as
static PySequenceMethods tuple_as_sequence = {
...
(objobjproc)tuplecontains, /* sq_contains */
};
PyTypeObject PyTuple_Type = {
...
&tuple_as_sequence, /* tp_as_sequence */
...
};
So the branch
if (sqm != NULL && sqm->sq_contains != NULL)
will be taken and *sqm->sq_contains
,
which is the function (objobjproc)tuplecontains
,
will be taken.
This does
static int
tuplecontains(PyTupleObject *a, PyObject *el)
{
Py_ssize_t i;
int cmp;
for (i = 0, cmp = 0 ; cmp == 0 && i < Py_SIZE(a); ++i)
cmp = PyObject_RichCompareBool(el, PyTuple_GET_ITEM(a, i),
Py_EQ);
return cmp;
}
...Wait, wasn't that PyObject_RichCompareBool
what
the other branch took? Nope, that was PyObject_RichCompare
.
That code path was short so it likely just comes down to the speed of these two. Let's compare.
int
PyObject_RichCompareBool(PyObject *v, PyObject *w, int op)
{
PyObject *res;
int ok;
/* Quick result when objects are the same.
Guarantees that identity implies equality. */
if (v == w) {
if (op == Py_EQ)
return 1;
else if (op == Py_NE)
return 0;
}
...
}
The code path in PyObject_RichCompareBool
pretty
much immediately terminates. For PyObject_RichCompare
,
it does
PyObject *
PyObject_RichCompare(PyObject *v, PyObject *w, int op)
{
PyObject *res;
assert(Py_LT <= op && op <= Py_GE);
if (v == NULL || w == NULL) { ... }
if (Py_EnterRecursiveCall(" in comparison"))
return NULL;
res = do_richcompare(v, w, op);
Py_LeaveRecursiveCall();
return res;
}
The Py_EnterRecursiveCall
/Py_LeaveRecursiveCall
combo
are not taken in the previous path, but these are relatively quick macros that'll short-circuit after incrementing and decrementing some globals.
do_richcompare
does:
static PyObject *
do_richcompare(PyObject *v, PyObject *w, int op)
{
richcmpfunc f;
PyObject *res;
int checked_reverse_op = 0;
if (v->ob_type != w->ob_type && ...) { ... }
if ((f = v->ob_type->tp_richcompare) != NULL) {
res = (*f)(v, w, op);
if (res != Py_NotImplemented)
return res;
...
}
...
}
This does some quick checks to call v->ob_type->tp_richcompare
which
is
PyTypeObject PyUnicode_Type = {
...
PyUnicode_RichCompare, /* tp_richcompare */
...
};
which does
PyObject *
PyUnicode_RichCompare(PyObject *left, PyObject *right, int op)
{
int result;
PyObject *v;
if (!PyUnicode_Check(left) || !PyUnicode_Check(right))
Py_RETURN_NOTIMPLEMENTED;
if (PyUnicode_READY(left) == -1 ||
PyUnicode_READY(right) == -1)
return NULL;
if (left == right) {
switch (op) {
case Py_EQ:
case Py_LE:
case Py_GE:
/* a string is equal to itself */
v = Py_True;
break;
case Py_NE:
case Py_LT:
case Py_GT:
v = Py_False;
break;
default:
...
}
}
else if (...) { ... }
else { ...}
Py_INCREF(v);
return v;
}
Namely, this shortcuts on left
... but only after doing
== right
if (!PyUnicode_Check(left) || !PyUnicode_Check(right))
if (PyUnicode_READY(left) == -1 ||
PyUnicode_READY(right) == -1)
All in all the paths then look something like this (manually recursively inlining, unrolling and pruning known branches)
POP() # Stack stuff
TOP() #
#
case PyCmp_IN: # Dispatch on operation
#
sqm != NULL # Dispatch to builtin op
sqm->sq_contains != NULL #
*sqm->sq_contains #
#
cmp == 0 # Do comparison in loop
i < Py_SIZE(a) #
v == w #
op == Py_EQ #
++i #
cmp == 0 #
#
res < 0 # Convert to Python-space
res ? Py_True : Py_False #
Py_INCREF(v) #
#
Py_DECREF(left) # Stack stuff
Py_DECREF(right) #
SET_TOP(res) #
res == NULL #
DISPATCH() #
vs
POP() # Stack stuff
TOP() #
#
default: # Dispatch on operation
#
Py_LT <= op # Checking operation
op <= Py_GE #
v == NULL #
w == NULL #
Py_EnterRecursiveCall(...) # Recursive check
#
v->ob_type != w->ob_type # More operation checks
f = v->ob_type->tp_richcompare # Dispatch to builtin op
f != NULL #
#
!PyUnicode_Check(left) # ...More checks
!PyUnicode_Check(right)) #
PyUnicode_READY(left) == -1 #
PyUnicode_READY(right) == -1 #
left == right # Finally, doing comparison
case Py_EQ: # Immediately short circuit
Py_INCREF(v); #
#
res != Py_NotImplemented #
#
Py_LeaveRecursiveCall() # Recursive check
#
Py_DECREF(left) # Stack stuff
Py_DECREF(right) #
SET_TOP(res) #
res == NULL #
DISPATCH() #
Now, PyUnicode_Check
and PyUnicode_READY
are
pretty cheap since they only check a couple of fields, but it should be obvious that the top one is a smaller code path, it has fewer function calls, only one switch statement and is just a bit thinner.
TL;DR:
Both dispatch to if
; the difference is just how much work they do to get there.
(left_pointer == right_pointer)in
just
does less.
Why is 'x' in ('x',) faster than 'x' == 'x'?的更多相关文章
-
faster r-cnn 在CPU配置下训练自己的数据
因为没有GPU,所以在CPU下训练自己的数据,中间遇到了各种各样的坑,还好没有放弃,特以此文记录此过程. 1.在CPU下配置faster r-cnn,参考博客:http://blog.csdn.net ...
-
r-cnn学习系列(三):从r-cnn到faster r-cnn
把r-cnn系列总结下,让整个流程更清晰. 整个系列是从r-cnn至spp-net到fast r-cnn再到faster r-cnn. RCNN 输入图像,使用selective search来构造 ...
-
faster with MyISAM tables than with InnoDB or NDB tables
http://dev.mysql.com/doc/refman/5.7/en/partitioning-limitations.html Performance considerations. So ...
-
situations where MyISAM will be faster than InnoDB
http://www.tocker.ca/categories/myisam Converting MyISAM to InnoDB and a lesson on variance I'm abou ...
-
Faster RNNLM (HS/NCE) toolkit
https://github.com/kjw0612/awesome-rnn Faster Recurrent Neural Network Language Modeling Toolkit wit ...
-
Faster R-CNN CPU环境搭建
操作系统: bigtop@bigtop-SdcOS-Hypervisor:~/py-faster-rcnn/tools$ cat /etc/issue Ubuntu LTS \n \l Python版 ...
-
Why is processing a sorted array faster than an unsorted array?
这是我在逛 Stack Overflow 时遇见的一个高分问题:Why is processing a sorted array faster than an unsorted array?,我觉得这 ...
-
Introducing the Accelerated Mobile Pages Project, for a faster, open mobile web
https://googleblog.blogspot.com/2015/10/introducing-accelerated-mobile-pages.html October 7, 2015 Sm ...
-
论文阅读之:Is Faster R-CNN Doing Well for Pedestrian Detection?
Is Faster R-CNN Doing Well for Pedestrian Detection? ECCV 2016 Liliang Zhang & Kaiming He 原文链接 ...
-
如何才能将Faster R-CNN训练起来?
如何才能将Faster R-CNN训练起来? 首先进入 Faster RCNN 的官网啦,即:https://github.com/rbgirshick/py-faster-rcnn#installa ...
随机推荐
-
C语言打印记事本内搜索字符串所在行信息
本程序采用C语言编写,使用方法: 1.双击“甲骨文字符串查询作品.exe”运行程序; 2.运行前请确保此可执行程序目录下有1.txt文件. 3.根据提示输入一个字符串,程序将显示存在所搜索字符串的所有 ...
-
python安装失败0x80240017
安装KB2999226更新补丁后, 可以正常安装python3.5. 此更新包在vs2015的patch包里有.Microsoft下载中心也有,这里列出的适用于win7x86: Windows 7 更 ...
-
Effective C++ 之 Item 6 : 若不想使用编译器自动生成的函数,就该明确拒绝
Effective C++ chapter 2. 构造 / 析构 / 赋值运算 (Constructors, Destructors, and Assignment Operators) Item 6 ...
-
const 与指针
深入理解const char*p,char const*p,char *const p,const char **p,char const**p,char *const*p,char**const p ...
-
iOS 隔离导航控制器
题外话:最近这两个月一直很闲,项目上基本没有啥大的需求.对于程序员来说,如果没有需求其实是一件很难受的事情,之前好多次在项目中没事找事,该优化的优化,该整理的整理.可能好多程序员都遇到过与我类似的情况 ...
-
git fetch, merge, pull, push需要注意的地方(转)
在git操作中,我们经常会用到fetch, merge, pull和push等命令,以下是一些我们需要注意的地方. 给大家准备了参考资料: 1. Whatʼs a Fast Forward Merge ...
-
第三部分:Android 应用程序接口指南---第二节:UI---第十章 拖放
第10章 拖放 使用Android的拖放框架,允许用户通过一个图形化的拖放动作,把数据从当前布局中的一个视图上转移到另一个视图上.这个框架包含了一个拖动事件类,拖动监听器和一些辅助的方法和类. 虽然这 ...
-
Chap5:操作文件和目录[The Linux Command Line]
Wildcards Wildcard Meaning * Matches any characters ? Matches any single character [characters] Matc ...
-
sublime使用技巧总结
软件右下角可以选择文档语法模式 Ctrl + Shift + P ------------------命令模式sshtml模糊匹配-----语法切换到html模式,同理所得,ss+相应文件名匹配相应模 ...
-
【python】BytesIO与串化
一共有以下几个概念 1.类文件: File(path), open(path), BytesIO(), ... 文件读之前要seek(0) 2.字符串: file.read() 3.对象: dict, ...