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
== right
... but only after doing

    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
(left_pointer == right_pointer)
; the difference is just how much work they do to get there. in just
does less.

Why is 'x' in ('x',) faster than 'x' == 'x'?的更多相关文章

  1. 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 ...

  2. 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 ...

  3. 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 ...

  4. 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 ...

  5. Faster RNNLM (HS/NCE) toolkit

    https://github.com/kjw0612/awesome-rnn Faster Recurrent Neural Network Language Modeling Toolkit wit ...

  6. 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 ...

  7. 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 ...

  8. 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 ...

  9. 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 ...

  10. 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

  1. MFC头文件

    AFX.H struct CRuntimeClass; // object type information class CObject; // the root of all objects cla ...

  2. noip第19课资料

  3. 《Node.js 高级编程》简介与第二章笔记

    <Node.js 高级编程> 作者简介 Pedro Teixerra 高产,开源项目程序员 Node 社区活跃成员,Node公司的创始人之一. 10岁开始编程,Visual Basic.C ...

  4. Hadoop 综合揭秘——HBase的原理与应用

    前言 现今互联网科技发展日新月异,大数据.云计算.人工智能等技术已经成为前瞻性产品,海量数据和超高并发让传统的 Web2.0 网站有点力不从心,暴露了很多难以克服的问题.为此,Google.Amazo ...

  5. Jenkins内置环境变量的使用

    一.查看Jenkins有哪些环境变量 1.新建任意一个job 2.增加构建步骤:Execute shell 或 Execute Windows batch command 3.点击输入框下方的“可用环 ...

  6. java web 乱码终结

    配置 tomcat 打开 tomcat 安装路径下的 conf/server.xml 文件,将 port 为 8080 的 connector 做如下更改: <Connector port=&q ...

  7. vue 项目记录.路飞学城(一)

    前情提要: 通过vue 搭建路飞学城记录  一:项目分析 二:项目搭建 1:创建项目 vue init webpack luffy 2:初始化项目 清除默认的HelloWorld.vue组件和APP. ...

  8. Windows Azure开发之Linux虚拟机

     Windows Azure是微软的云服务集合,用来提供云在线服务所需要的操作系统与基础存储与管理的平台,是微软的云计算的核心组成组件之一.其中windows azure提供的最重要的一项服务就是 ...

  9. C# Winform同时启动多个窗体类

    首先创建一个类,存放将要同时显示的窗体 using System; using System.Collections.Generic; using System.Linq; using System. ...

  10. centos6.6 安装adb环境

    a.安装JDK环境 centos linux JAVA(openjdk)软件包名 1.java-1.7.0-openjdk (OpenJDK Runtime Environment) 2.java-1 ...