struct
struct QSortStack {
public int high;
public int low;
}
QSortStack* stack = stackalloc QSortStack [];
unsafe static void qsort<T, U> (T[] keys, U[] items, int low0, int high0) where T : IComparable<T>
{
QSortStack* stack = stackalloc QSortStack [];
const int QSORT_THRESHOLD = ;
int high, low, mid, i, k;
int sp = ;
T key; // initialize our stack
stack[].high = high0;
stack[].low = low0; do {
// pop the stack
sp--;
high = stack[sp].high;
low = stack[sp].low; if ((low + QSORT_THRESHOLD) > high) {
// switch to insertion sort
for (i = low + ; i <= high; i++) {
for (k = i; k > low; k--) {
// if keys[k] >= keys[k-1], break
if (keys[k-] == null)
break; if (keys[k] != null && keys[k].CompareTo (keys[k-]) >= )
break; swap (keys, items, k - , k);
}
} continue;
} // calculate the middle element
mid = low + ((high - low) / ); // once we re-order the lo, mid, and hi elements to be in
// ascending order, we'll use mid as our pivot.
QSortArrange<T, U> (keys, items, low, mid);
if (QSortArrange<T, U> (keys, items, mid, high))
QSortArrange<T, U> (keys, items, low, mid); key = keys[mid]; // since we've already guaranteed that lo <= mid and mid <= hi,
// we can skip comparing them again
k = high - ;
i = low + ; do {
if (key != null) {
// find the first element with a value >= pivot value
while (i < k && key.CompareTo (keys[i]) > )
i++; // find the last element with a value <= pivot value
while (k > i && key.CompareTo (keys[k]) < )
k--;
} else {
while (i < k && keys[i] == null)
i++; while (k > i && keys[k] != null)
k--;
} if (k <= i)
break; swap (keys, items, i, k); i++;
k--;
} while (true); // push our partitions onto the stack, largest first
// (to make sure we don't run out of stack space)
if ((high - k) >= (k - low)) {
if ((k + ) < high) {
stack[sp].high = high;
stack[sp].low = k;
sp++;
} if ((k - ) > low) {
stack[sp].high = k;
stack[sp].low = low;
sp++;
}
} else {
if ((k - ) > low) {
stack[sp].high = k;
stack[sp].low = low;
sp++;
} if ((k + ) < high) {
stack[sp].high = high;
stack[sp].low = k;
sp++;
}
}
} while (sp > );
} // Specialized version for items==null
unsafe static void qsort<T> (T[] keys, int low0, int high0) where T : IComparable<T>
{
QSortStack* stack = stackalloc QSortStack [];
const int QSORT_THRESHOLD = ;
int high, low, mid, i, k;
int sp = ;
T key; // initialize our stack
stack[].high = high0;
stack[].low = low0; do {
// pop the stack
sp--;
high = stack[sp].high;
low = stack[sp].low; if ((low + QSORT_THRESHOLD) > high) {
// switch to insertion sort
for (i = low + ; i <= high; i++) {
for (k = i; k > low; k--) {
// if keys[k] >= keys[k-1], break
if (keys[k-] == null)
break; if (keys[k] != null && keys[k].CompareTo (keys[k-]) >= )
break; swap (keys, k - , k);
}
} continue;
} // calculate the middle element
mid = low + ((high - low) / ); // once we re-order the lo, mid, and hi elements to be in
// ascending order, we'll use mid as our pivot.
QSortArrange<T> (keys, low, mid);
if (QSortArrange<T> (keys, mid, high))
QSortArrange<T> (keys, low, mid); key = keys[mid]; // since we've already guaranteed that lo <= mid and mid <= hi,
// we can skip comparing them again
k = high - ;
i = low + ; do {
if (key != null) {
// find the first element with a value >= pivot value
while (i < k && key.CompareTo (keys[i]) > )
i++; // find the last element with a value <= pivot value
while (k >= i && key.CompareTo (keys[k]) < )
k--;
} else {
while (i < k && keys[i] == null)
i++; while (k >= i && keys[k] != null)
k--;
} if (k <= i)
break; swap (keys, i, k); i++;
k--;
} while (true); // push our partitions onto the stack, largest first
// (to make sure we don't run out of stack space)
if ((high - k) >= (k - low)) {
if ((k + ) < high) {
stack[sp].high = high;
stack[sp].low = k;
sp++;
} if ((k - ) > low) {
stack[sp].high = k;
stack[sp].low = low;
sp++;
}
} else {
if ((k - ) > low) {
stack[sp].high = k;
stack[sp].low = low;
sp++;
} if ((k + ) < high) {
stack[sp].high = high;
stack[sp].low = k;
sp++;
}
}
} while (sp > );
} static bool QSortArrange<K, V> (K [] keys, V [] items, int lo, int hi, IComparer<K> comparer)
{
IComparable<K> gcmp;
IComparable cmp; if (comparer != null) {
if (comparer.Compare (keys[hi], keys[lo]) < ) {
swap<K, V> (keys, items, lo, hi);
return true;
}
} else if (keys[lo] != null) {
if (keys[hi] == null) {
swap<K, V> (keys, items, lo, hi);
return true;
} gcmp = keys[hi] as IComparable<K>;
if (gcmp != null) {
if (gcmp.CompareTo (keys[lo]) < ) {
swap<K, V> (keys, items, lo, hi);
return true;
} return false;
} cmp = keys[hi] as IComparable;
if (cmp != null) {
if (cmp.CompareTo (keys[lo]) < ) {
swap<K, V> (keys, items, lo, hi);
return true;
} return false;
}
} return false;
} // Specialized version for items==null
static bool QSortArrange<K> (K [] keys, int lo, int hi, IComparer<K> comparer)
{
IComparable<K> gcmp;
IComparable cmp; if (comparer != null) {
if (comparer.Compare (keys[hi], keys[lo]) < ) {
swap<K> (keys, lo, hi);
return true;
}
} else if (keys[lo] != null) {
if (keys[hi] == null) {
swap<K> (keys, lo, hi);
return true;
} gcmp = keys[hi] as IComparable<K>;
if (gcmp != null) {
if (gcmp.CompareTo (keys[lo]) < ) {
swap<K> (keys, lo, hi);
return true;
} return false;
} cmp = keys[hi] as IComparable;
if (cmp != null) {
if (cmp.CompareTo (keys[lo]) < ) {
swap<K> (keys, lo, hi);
return true;
} return false;
}
} return false;
} unsafe static void qsort<K, V> (K [] keys, V [] items, int low0, int high0, IComparer<K> comparer)
{
QSortStack* stack = stackalloc QSortStack [];
const int QSORT_THRESHOLD = ;
int high, low, mid, i, k;
IComparable<K> gcmp;
IComparable cmp;
int sp = ;
K key; // initialize our stack
stack[].high = high0;
stack[].low = low0; do {
// pop the stack
sp--;
high = stack[sp].high;
low = stack[sp].low; if ((low + QSORT_THRESHOLD) > high) {
// switch to insertion sort
for (i = low + ; i <= high; i++) {
for (k = i; k > low; k--) {
// if keys[k] >= keys[k-1], break
if (comparer != null) {
if (comparer.Compare (keys[k], keys[k-]) >= )
break;
} else {
if (keys[k-] == null)
break; if (keys[k] != null) {
gcmp = keys[k] as IComparable<K>;
cmp = keys[k] as IComparable;
if (gcmp != null) {
if (gcmp.CompareTo (keys[k-]) >= )
break;
} else {
if (cmp.CompareTo (keys[k-]) >= )
break;
}
}
} swap<K, V> (keys, items, k - , k);
}
} continue;
} // calculate the middle element
mid = low + ((high - low) / ); // once we re-order the low, mid, and high elements to be in
// ascending order, we'll use mid as our pivot.
QSortArrange<K, V> (keys, items, low, mid, comparer);
if (QSortArrange<K, V> (keys, items, mid, high, comparer))
QSortArrange<K, V> (keys, items, low, mid, comparer); key = keys[mid];
gcmp = key as IComparable<K>;
cmp = key as IComparable; // since we've already guaranteed that lo <= mid and mid <= hi,
// we can skip comparing them again.
k = high - ;
i = low + ; do {
// Move the walls in
if (comparer != null) {
// find the first element with a value >= pivot value
while (i < k && comparer.Compare (key, keys[i]) > )
i++; // find the last element with a value <= pivot value
while (k > i && comparer.Compare (key, keys[k]) < )
k--;
} else {
if (gcmp != null) {
// find the first element with a value >= pivot value
while (i < k && gcmp.CompareTo (keys[i]) > )
i++; // find the last element with a value <= pivot value
while (k > i && gcmp.CompareTo (keys[k]) < )
k--;
} else if (cmp != null) {
// find the first element with a value >= pivot value
while (i < k && cmp.CompareTo (keys[i]) > )
i++; // find the last element with a value <= pivot value
while (k > i && cmp.CompareTo (keys[k]) < )
k--;
} else {
while (i < k && keys[i] == null)
i++; while (k > i && keys[k] != null)
k--;
}
} if (k <= i)
break; swap<K, V> (keys, items, i, k); i++;
k--;
} while (true); // push our partitions onto the stack, largest first
// (to make sure we don't run out of stack space)
if ((high - k) >= (k - low)) {
if ((k + ) < high) {
stack[sp].high = high;
stack[sp].low = k;
sp++;
} if ((k - ) > low) {
stack[sp].high = k;
stack[sp].low = low;
sp++;
}
} else {
if ((k - ) > low) {
stack[sp].high = k;
stack[sp].low = low;
sp++;
} if ((k + ) < high) {
stack[sp].high = high;
stack[sp].low = k;
sp++;
}
}
} while (sp > );
} // Specialized version for items==null
unsafe static void qsort<K> (K [] keys, int low0, int high0, IComparer<K> comparer)
{
QSortStack* stack = stackalloc QSortStack [];
const int QSORT_THRESHOLD = ;
int high, low, mid, i, k;
IComparable<K> gcmp;
IComparable cmp;
int sp = ;
K key; // initialize our stack
stack[].high = high0;
stack[].low = low0; do {
// pop the stack
sp--;
high = stack[sp].high;
low = stack[sp].low; if ((low + QSORT_THRESHOLD) > high) {
// switch to insertion sort
for (i = low + ; i <= high; i++) {
for (k = i; k > low; k--) {
// if keys[k] >= keys[k-1], break
if (comparer != null) {
if (comparer.Compare (keys[k], keys[k-]) >= )
break;
} else {
if (keys[k-] == null)
break; if (keys[k] != null) {
gcmp = keys[k] as IComparable<K>;
cmp = keys[k] as IComparable;
if (gcmp != null) {
if (gcmp.CompareTo (keys[k-]) >= )
break;
} else {
if (cmp.CompareTo (keys[k-]) >= )
break;
}
}
} swap<K> (keys, k - , k);
}
} continue;
} // calculate the middle element
mid = low + ((high - low) / ); // once we re-order the low, mid, and high elements to be in
// ascending order, we'll use mid as our pivot.
QSortArrange<K> (keys, low, mid, comparer);
if (QSortArrange<K> (keys, mid, high, comparer))
QSortArrange<K> (keys, low, mid, comparer); key = keys[mid];
gcmp = key as IComparable<K>;
cmp = key as IComparable; // since we've already guaranteed that lo <= mid and mid <= hi,
// we can skip comparing them again.
k = high - ;
i = low + ; do {
// Move the walls in
if (comparer != null) {
// find the first element with a value >= pivot value
while (i < k && comparer.Compare (key, keys[i]) > )
i++; // find the last element with a value <= pivot value
while (k > i && comparer.Compare (key, keys[k]) < )
k--;
} else {
if (gcmp != null) {
// find the first element with a value >= pivot value
while (i < k && gcmp.CompareTo (keys[i]) > )
i++; // find the last element with a value <= pivot value
while (k > i && gcmp.CompareTo (keys[k]) < )
k--;
} else if (cmp != null) {
// find the first element with a value >= pivot value
while (i < k && cmp.CompareTo (keys[i]) > )
i++; // find the last element with a value <= pivot value
while (k > i && cmp.CompareTo (keys[k]) < )
k--;
} else {
while (i < k && keys[i] == null)
i++; while (k > i && keys[k] != null)
k--;
}
} if (k <= i)
break; swap<K> (keys, i, k); i++;
k--;
} while (true); // push our partitions onto the stack, largest first
// (to make sure we don't run out of stack space)
if ((high - k) >= (k - low)) {
if ((k + ) < high) {
stack[sp].high = high;
stack[sp].low = k;
sp++;
} if ((k - ) > low) {
stack[sp].high = k;
stack[sp].low = low;
sp++;
}
} else {
if ((k - ) > low) {
stack[sp].high = k;
stack[sp].low = low;
sp++;
} if ((k + ) < high) {
stack[sp].high = high;
stack[sp].low = k;
sp++;
}
}
} while (sp > );
} static bool QSortArrange<T> (T [] array, int lo, int hi, Comparison<T> compare)
{
if (array[lo] != null) {
if (array[hi] == null || compare (array[hi], array[lo]) < ) {
swap<T> (array, lo, hi);
return true;
}
} return false;
} unsafe static void qsort<T> (T [] array, int low0, int high0, Comparison<T> compare)
{
QSortStack* stack = stackalloc QSortStack [];
const int QSORT_THRESHOLD = ;
int high, low, mid, i, k;
int sp = ;
T key; // initialize our stack
stack[].high = high0;
stack[].low = low0; do {
// pop the stack
sp--;
high = stack[sp].high;
low = stack[sp].low; if ((low + QSORT_THRESHOLD) > high) {
// switch to insertion sort
for (i = low + ; i <= high; i++) {
for (k = i; k > low; k--) {
if (compare (array[k], array[k-]) >= )
break; swap<T> (array, k - , k);
}
} continue;
} // calculate the middle element
mid = low + ((high - low) / ); // once we re-order the lo, mid, and hi elements to be in
// ascending order, we'll use mid as our pivot.
QSortArrange<T> (array, low, mid, compare);
if (QSortArrange<T> (array, mid, high, compare))
QSortArrange<T> (array, low, mid, compare); key = array[mid]; // since we've already guaranteed that lo <= mid and mid <= hi,
// we can skip comparing them again
k = high - ;
i = low + ; do {
// Move the walls in
if (key != null) {
// find the first element with a value >= pivot value
while (i < k && compare (key, array[i]) > )
i++; // find the last element with a value <= pivot value
while (k > i && compare (key, array[k]) < )
k--;
} else {
while (i < k && array[i] == null)
i++; while (k > i && array[k] != null)
k--;
} if (k <= i)
break; swap<T> (array, i, k); i++;
k--;
} while (true); // push our partitions onto the stack, largest first
// (to make sure we don't run out of stack space)
if ((high - k) >= (k - low)) {
if ((k + ) < high) {
stack[sp].high = high;
stack[sp].low = k;
sp++;
} if ((k - ) > low) {
stack[sp].high = k;
stack[sp].low = low;
sp++;
}
} else {
if ((k - ) > low) {
stack[sp].high = k;
stack[sp].low = low;
sp++;
} if ((k + ) < high) {
stack[sp].high = high;
stack[sp].low = k;
sp++;
}
}
} while (sp > );
}
struct的更多相关文章
- 使用struct处理二进制
有的时候需要用python处理二进制数据,比如,存取文件.socket操作时.这时候,可以使用python的struct模块来完成. struct模块中最重要的三个函数是pack(), unpack( ...
- golang struct扩展函数参数命名警告
今天在使用VSCode编写golang代码时,定义一个struct,扩展几个方法,如下: package storage import ( "fmt" "github.c ...
- go-使用 unsafe 修改 struct 中的 field 的值
以下是方法,不要纠结原理,等东西积累多了,你才有能力纠结原理: 首先,你需要有一个这样的函数,这是在 nsq 的源码里直接抄过来的: func unsafeValueOf(val reflect.Va ...
- C语言中struct位域的定义和使用
位域的定义和使用 有些信息在存储时,并不需要占用一个完整的字节, 而只需占几个或一个二进制位.例如在存放一个开关量时,只有0和1 两种状态, 用一位二进位即可.为了节省存储空间,并使处理简便,C语言又 ...
- C# Struct结构体里数组长度的指定
typedef struct Point{ unsigned short x; unsigned short y; }mPoint;//点坐标 typedef struct Line{ mPoint ...
- C 语言Struct 实现运行类型识别 RTTI
通过RTTI,能够通过基类的指针或引用来检索其所指对象的实际类型.c++通过下面两个操作符提供RTTI. (1)typeid:返回指针或引用所指对象的实际类型. (2)dynamic_cast: ...
- VC++ : error LNK2001: unresolved external symbol "__declspec(dllimport) public: __thiscall std::basic_string<wchar_t,struct std::char_traits<wchar_t>
最近学习Google Breakpad,将其用在了自己的项目中,编译的版本为VS2010,没有什么问题.但是为了和之前的程序兼容,需要使用VS2008版本的程序,于是又编译了VS2008版本的代码,但 ...
- 字节流与数据类型的相互转换---使用struct模块
字节流与数据类型的相互转换---使用struct模块 http://blog.csdn.net/Sunboy_2050/article/details/5974029 Python是一门非常简洁的语言 ...
- 窥探Swift之别具一格的Struct和Class
说到结构体和类,还是那句话,只要是接触过编程的小伙伴们对这两者并不陌生.但在Swift中的Struct和Class也有着令人眼前一亮的特性.Struct的功能变得更为强大,Class变的更为灵活.St ...
- struct 大小计算
结构体是一种复合数据类型,通常编译器会自动的进行其成员变量的对齐,已提高数据存取的效率.在默认情况下,编译器为结构体的成员按照自然对齐(natural alignment)条方式分配存储空间,各个成员 ...
随机推荐
- Java IO2：RandomAccessFile
RandomAccessFile RandomAccessFile类可以说是Java语言中功能最为丰富的文件访问类,它提供了众多的文件访问方法.RandomAccessFile类支持"随机访 ...
- Flume采集处理日志文件
Flume简介 Flume是Cloudera提供的一个高可用的,高可靠的,分布式的海量日志采集.聚合和传输的系统,Flume支持在日志系统中定制各类数据发送方,用于收集数据:同时,Flume提供对数据 ...
- 用canvas开发H5游戏小记
自神经猫风波之后,微信中的各种小游戏如雨后春笋般目不暇接,这种低成本,高效传播的案例很是受开发者青睐.作为一名前端,随手写个这样的小游戏出来应该算是必备技能吧.恰逢中秋节,部门决定上线一个小游戏,在微 ...
- [ZigBee] 4、ZigBee基础实验——中断
前言 上一篇介绍了CC2530的IO的基础知识,并用LED的控制来展示如何配置并控制GPIO的输出,用KEY状态的读取实验来展示如何读取GPIO的状态.从上一节的KEY状态读取的代码看出是采用轮训方式 ...
- Linux—解压缩
压缩和解压("//"命令的解释) 常用压缩格式 .zip .gz .bz2 .tar.bz2 .tar.gz .zip格式压缩: zip 压缩 ...
- 【管理心得之三十】"这事与我无关"
场景再现 ========================事因 ⇔ {一个农庄主在他的粮仓里放了一只老鼠夹.} 过程 ⇔ {老鼠发现了,跑去告诉母鸡} 母鸡:这和我有什么关系,我很同情你. ...
- iOS-数据解析XML解析的多种平台介绍
在iPhone开发中,XML的解析有很多选择,iOS SDK提供了NSXMLParser和libxml2两个类库,另外还有很多第三方类库可选,例如TBXML.TouchXML.KissXML.Tiny ...
- iOS-MVC模式
提到ios中的mvc不得不提2011秋季斯坦福课程的老头,他的iphone开发公开课是所有描述ios中mvc模式最为准确并且最为浅显易懂的. 模型-视图-控制器 这个模式其实应该叫做MCV,用控制器把 ...
- iOS----单例模式（Singleton）
单例的意思就是只有一个实例.单例模式确保某一个类只有一个实例,而且自行实例化并向整个系统提供这个实例.这个类称为单例类. 1.单例模式的要点: 显然单例模式的要点有三个:一是某个类只能有一个实例:二是 ...
- KnockoutJS 3.X API 第四章 数据绑定(5) 控制流component绑定
本节目录: 一个例子 API 备注1:仅模板式的component 备注2:component虚拟绑定 备注3:传递标记到component绑定 内存管理 一个例子 First instance, w ...