【状态压缩】【动态规划】【C++算法】691贴纸拼词

作者推荐

【动态规划】【数学】【C++算法】18赛车

本文涉及知识点

状态压缩 动态规划

LeetCode:691 贴纸拼词

我们有 n 种不同的贴纸。每个贴纸上都有一个小写的英文单词。
您想要拼写出给定的字符串 target ，方法是从收集的贴纸中切割单个字母并重新排列它们。如果你愿意，你可以多次使用每个贴纸，每个贴纸的数量是无限的。
返回你需要拼出 target 的最小贴纸数量。如果任务不可能，则返回 -1 。
注意：在所有的测试用例中，所有的单词都是从 1000 个最常见的美国英语单词中随机选择的，并且 target 被选择为两个随机单词的连接。
示例 1：
输入： stickers = [“with”,“example”,“science”], target = “thehat”
输出：3
解释：
我们可以使用 2 个 “with” 贴纸，和 1 个 “example” 贴纸。
把贴纸上的字母剪下来并重新排列后，就可以形成目标 “thehat“ 了。
此外，这是形成目标字符串所需的最小贴纸数量。
示例 2:
输入：stickers = [“notice”,“possible”], target = “basicbasic”
输出：-1
解释：我们不能通过剪切给定贴纸的字母来形成目标“basicbasic”。

提示:
n == stickers.length
1 <= n <= 50
1 <= stickers[i].length <= 10
1 <= target.length <= 15
stickers[i] 和 target 由小写英文单词组成

封装类

假定target串有个n1字符，数量分别为m_vMax[0] m_vMax[1]…m_vMax[n1-1]。
对于某个stickers串，忽略target中没有的字符。target第0 1 2… 个字符在sticker的数量为vNum[0],vNum[1]…
则第0个字符的mask为1*vNum[0]
第1个字符的mask为(m_vMax[0]+1)*vNum[1]
…
第i个字符的mask为：Mul${}_{[0,i-1]}^j$(vMax[j]+1)*vNum[i]
总mask 为各字符mask之和。
注意： 无论如何vNum[i]都大于等于0，小于等于m_vMax[i]

class CMask
{
public:void Add(int iMax)//当前最高位范围[0,iMax]{m_vMax.emplace_back(iMax);m_iMaskCount *= (iMax + 1);}vector<int> FromMask(int iMask){vector<int> vNums;for (int i = 0; i < m_vMax.size(); i++){vNums.emplace_back(iMask % (m_vMax[i] + 1));iMask /= (m_vMax[i] + 1);}return vNums;}int ToMask(const vector<int>& vNums,int iMul=1){int iMask = 0;int iUnit = 1;for (int i = 0; i < m_vMax.size(); i++){iMask += iUnit * min(m_vMax[i],vNums[i]* iMul);iUnit *= (m_vMax[i]+1);}return iMask;}int MaskSubVector(int iMask, const vector<int>& vNums, const int iMul = 1){int iNewMask = 0;int iUnit = 1;for (int i = 0; i < m_vMax.size(); i++){int cur = iMask % (m_vMax[i] + 1);cur -= vNums[i] * iMul;cur = max(0, cur);iNewMask += iUnit * cur;iMask /= (m_vMax[i] + 1);iUnit *= (m_vMax[i]+1);}return iNewMask;}int NeedGroupCount(const vector<int>& need, const vector<int>& has){int iMax = 0;for (int i = 0; i < m_vMax.size(); i++){if (has[i] <= 0){continue;}iMax = max(iMax,need[i] / has[i]+ (0 != need[i] % has[i]));}return iMax;}
public:int MaskCount()const{return m_iMaskCount;}	int BitCount()const{return m_vMax.size();}
protected:int m_iMaskCount = 1;vector<int> m_vMax;
};class CStrMask : public CMask
{
public:CStrMask(const string& target){vector<int> vCount;for (const auto& ch : target){if (mCharToIndex.count(ch)){vCount[mCharToIndex[ch]]++;}else{mCharToIndex[ch] = vCount.size();vCount.emplace_back(1);}}for (const auto& cnt : vCount){CMask::Add(cnt);}}vector<int> GetVector(const string& s ){vector<int> vCharNums(m_vMax.size());for (const char& ch : s){if (mCharToIndex.count(ch)){auto& i = vCharNums[mCharToIndex[ch]];if (i < m_vMax[mCharToIndex[ch]]){i++;}				}}return vCharNums;}
protected:unordered_map<char, int> mCharToIndex;
private:void Add(int iMax) {};
};

动态规划

动态规划的状态表示

pre[iMask] 表示利用前i-1个贴纸，达到未完成的字符状态为iMask的消耗的最少贴纸数。1000表示无法达成。
dp[iMask] 表示利用前i 个贴纸，达到未完成的字符状态为iMask的消耗的最少贴纸数。

动态规划的转移方程

iPreMask 当前贴纸 使用的贴纸数量 如果状态发生变化，则更新状态。

动态规划的填表顺序

对于每个合法的iPreMask，计算当前贴纸最多需要多少份。三层循环：第一层，枚举各贴纸。第二层，枚举pre各状态。第三层：枚举当前贴纸使用的数量。每次处理还要枚举各字符。
故总时间复杂度为：O(50*2¹⁵1515)

动态规划的初始状态

pre[iMaskCount-1=0 其它值为1000。

动态规划的返回值

pre[0]

代码

核心代码

class Solution {
public:int minStickers(vector<string>& stickers, string target) {CStrMask mask(target);vector<vector<int>> vMaskToCounts(mask.MaskCount());for (int i = 0; i < mask.MaskCount(); i++){vMaskToCounts[i] = mask.FromMask(i);}vector<int> vPre(mask.MaskCount(), 1000);vPre[mask.MaskCount() - 1] = 0;for (const auto s : stickers){auto vCharNums = mask.GetVector(s);vector<int> dp = vPre;//不选择for (int iPre = 0; iPre < mask.MaskCount(); iPre++){if (vPre[iPre] >= 1000){continue;}const int iSelMax = mask.NeedGroupCount(vMaskToCounts[iPre], vCharNums);for (int iSel = 1; iSel <= iSelMax; iSel++){const int iNewMask = mask.MaskSubVector(iPre, vCharNums, iSel);dp[iNewMask] = min(dp[iNewMask], vPre[iPre] + iSel);}}vPre.swap(dp);}return (vPre[0] >= 1000) ? -1 : vPre[0];}
};

测试用例

template<class T>
void Assert(const T& t1, const T& t2)
{assert(t1 == t2);
}template<class T>
void Assert(const vector<T>& v1, const vector<T>& v2)
{if (v1.size() != v2.size()){assert(false);return;}for (int i = 0; i < v1.size(); i++){Assert(v1[i], v2[i]);}}int main()
{vector<string> stickers;string target;{Solution sln;stickers = { "travel", "quotient", "nose", "wrote", "any" }, target = "lastwest";auto res = sln.minStickers(stickers, target);Assert(4, res);}{Solution sln;stickers = { "with", "example", "science" }, target = "thehat";auto res = sln.minStickers(stickers, target);Assert(3, res);}{Solution sln;stickers = { "notice", "possible" }, target = "basicbasic";auto res = sln.minStickers(stickers, target);Assert(-1, res);}{Solution sln;stickers = { "right", "ten", "year", "share", "period", "paper", "expect", "village", "home", "happen", "ring", "sat", "even", "afraid", "paint", "self", "range", "camp", "note", "read", "paragraph", "run", "basic", "fill", "week", "his", "star", "power", "any", "colony", "object", "free", "dark", "said", "chick", "true", "glad", "child", "room", "lost", "am", "cry", "quiet", "crease", "while", "race", "fun", "found", "dream", "once" }, target = "materialhalf";auto res = sln.minStickers(stickers, target);Assert(4, res);}{Solution sln;stickers = { "indicate","why","finger","star","unit","board","sister","danger","deal","bit","phrase","caught","if","other","water","huge","general","read","gold","shall","master","men","lay","party","grow","view","if","pull","together","head","thank","street","natural","pull","raise","cost","spoke","race","new","race","liquid","me","please","clear","could","reply","often","huge","old","nor" }, target = "fhhfiyfdcwbycma";auto res = sln.minStickers(stickers, target);Assert(9, res);}}

改进简洁版，性能略差

不区分dp pre，因为一个贴纸可以无限使用。无论是pre[iMask]和dp[iMask] 都可增加贴纸。

动态规划的状态表示

状态压缩：如果target第i位已经贴好，则此位为1；否则此位为0。
dp[iMask] 已经完成iMask 消耗的最少贴纸数。

动态规划的转移方程。

对应每个mask，只需要考虑一个当前贴纸。比如： 目标串为aaa，贴纸为a。状态0只考虑一个贴纸。状态1只考虑1个贴纸，总共2个贴纸。状态3只考虑1个贴纸，总共3个贴纸。
如果目标串有多个相同字符，只需要匹配第一字符。“???” 第一张贴纸后，变成"a??" 不需要考虑“?a?"
方案一：第i步匹配第1个a，第j个步匹配第2个a。
方案二：第i步匹配第2个a，第j个步匹配第1个a。
如果方案二，能达到目标，那方案一显然也能达到目标。
iPreMask等于iNewMask 也不用排除，因为新值比旧值大1，必定被淘汰。

class Solution {
public:int minStickers(vector<string>& stickers, string target) {const int iMaskCount = 1 << target.size();vector<int> dp(iMaskCount, 1000);dp[0] = 0;for (const auto s : stickers){int cnt1[26] = { 0 };for (const auto& ch : s){cnt1[ch - 'a']++;}for (int iPreMask = 0; iPreMask < iMaskCount; iPreMask++){int cnt[26] = { 0 };memcpy(cnt, cnt1, sizeof(cnt1));int iNewMask = iPreMask;for (int j = 0; j < target.size(); j++){if (iPreMask & (1 << j)){continue;//已经拼成}if (cnt[target[j] - 'a']){cnt[target[j] - 'a']--;iNewMask |= (1 << j);}}dp[iNewMask] = min(dp[iNewMask], dp[iPreMask] + 1);}		}return (dp.back() >= 1000) ? -1 : dp.back();}
};

2023年1月第一版

class Solution {
public:
int minStickers(vector& stickers, string target) {
m_target = target;
for (auto& ch : target)
{
m_mTarget[ch]++;
}
std::unordered_set hasMask;
hasMask.insert(0);
std::unordered_map<int,int> preMaskNum;
preMaskNum[0] = 0;
for (auto& s : stickers)
{
std::unordered_map<char, int> mCur;
for (auto& ch : s)
{
if (m_mTarget.count(ch))
{
mCur[ch]++;
}
}
std::unordered_map<int, int> dp = preMaskNum;
const int iCurMask = MakeMask(mCur);
if (hasMask.count(iCurMask))
{
continue;
}
hasMask.insert(iCurMask);
for (const auto& preMask : preMaskNum )
{
std::unordered_map<char, int> mPre;
ParseMask(mPre, preMask.first);
bool bAdd = true;
int iNum = preMask.second;
while (bAdd)
{
bAdd = false;
for (const auto it : mCur)
{
if (m_mTarget[it.first] > mPre[it.first])
{
bAdd = true;
mPre[it.first] = min(m_mTarget[it.first], mPre[it.first] + mCur[it.first]);
}
}
if (bAdd)
{
iNum++;
const int iMask = MakeMask(mPre);
if (dp.count(iMask))
{
dp[iMask] = min(dp[iMask], iNum);
}
else
{
dp[iMask] = iNum;
}
}
}
}
preMaskNum.swap(dp);
}
int iMaskTargt = MakeMask(m_mTarget);
if (preMaskNum.end() == preMaskNum.find(iMaskTargt))
{
return -1;
}
return preMaskNum[iMaskTargt];
}
int MakeMask(const std::unordered_map<char, int>& nums)const
{
int iMask = 0;
for (const auto& mm : m_mTarget )
{
auto it = nums.find(mm.first);
if ((nums.end() != it) && ( it->second > 0 ))
{
iMask = iMask * (mm.second + 1) + min(mm.second, it->second);
}
else
{
iMask = iMask * (mm.second + 1);
}
}
return iMask;
}
void ParseMask(std::unordered_map<char, int>& nums, int iMask)
{
int iMul = 1;
for (auto& it : m_mTarget)
{
iMul *= (it.second+1);
}
for (auto it = m_mTarget.begin(); it != m_mTarget.end(); ++it)
{
iMul /= (it->second+1);
nums[it->first] = iMask / iMul;
iMask %= iMul;
}
}
std::string m_target;
std::unordered_map<char, int> m_mTarget;
};

2023年1月第2版

class Solution {
public:
int minStickers(vector& stickers, string target) {
m_target = target;
Init();
vector<std::unordered_map<char, int>> mAllCharNum;
{
std::unordered_set hasMask;
hasMask.insert(0);
for (int i = stickers.size() - 1; i >= 0; i–)
{
std::unordered_map<char, int> mCur;
for (auto& ch : stickers[i])
{
if (m_mTarget.count(ch))
{
mCur[ch]++;
}
}
const int iCurMask = MakeMask(mCur);
if (hasMask.count(iCurMask))
{
continue;
}
hasMask.insert(iCurMask);
mAllCharNum.push_back(mCur);
}
}
std::unordered_set setPreMask,setHasDo;
setPreMask.insert(m_iTargetMask);
setHasDo.insert(m_iTargetMask);
for (int iOpeNum = 1; iOpeNum <= target.length(); iOpeNum++)
{
std::unordered_set dp;
for (auto& preMask : setPreMask)
{
std::unordered_map<char, int> mPre;
ParseMask(mPre, preMask);
for (auto& mCur : mAllCharNum)
{
const int iSubMask = GetSubMask(mPre, mCur);
if (0 == iSubMask)
{
continue;
}
const int iNewMask = preMask - iSubMask;
if (setHasDo.count(iNewMask))
{
continue;
}
if (iNewMask == 0 )
{
return iOpeNum;
}
setHasDo.insert(iNewMask);
dp.insert(iNewMask);
}
}
setPreMask.swap(dp);
vector<std::unordered_map<char, int>> mAllTmp;
for (auto& it : setPreMask)
{
std::unordered_map<char, int> tmp;
ParseMask(tmp, it);
mAllTmp.push_back(tmp);
}
}
return -1;
}
int GetSubMask(const std::unordered_map<char, int>& mPre, const std::unordered_map<char, int>& mCur)
{
int iSubMask = 0;
for (auto& cur : mCur)
{
auto pre = mPre.find(cur.first);
if (pre->second )
{
iSubMask += min(pre->second, cur.second) * m_vCharMul[cur.first-‘a’];
}
}
return iSubMask;
}
int MakeMask(const std::unordered_map<char, int>& nums)const
{
int iMask = 0;
for (const auto& mm : m_mTarget )
{
auto it = nums.find(mm.first);
if ((nums.end() != it) && ( it->second > 0 ))
{
iMask = iMask * (mm.second + 1) + min(mm.second, it->second);
}
else
{
iMask = iMask * (mm.second + 1);
}
}
return iMask;
}
void ParseMask(std::unordered_map<char, int>& nums, int iMask)
{
for (auto it = m_mTarget.begin(); it != m_mTarget.end(); ++it)
{
const int iMul = m_vCharMul[it->first-‘a’];
nums[it->first] = iMask / iMul;
iMask %= iMul;
}
}
void Init()
{
for (auto& ch : m_target)
{
m_mTarget[ch]++;
}
m_iTargetMask = MakeMask(m_mTarget);
int iMul = 1;
for (auto& it : m_mTarget)
{
iMul *= (it.second + 1);
}
for (auto it = m_mTarget.begin(); it != m_mTarget.end(); ++it)
{
iMul /= (it->second + 1);
m_vCharMul[it->first - ‘a’] = iMul;
}
}
std::string m_target;
int m_iTargetMask;
std::unordered_map<char, int> m_mTarget;
int m_vCharMul[26] ;
};

2023年1月第三版

class Solution {
public:
int minStickers(vector& stickers, string target) {
m_target = target;
Init();

	 vector<std::unordered_map<char, int>> mAllCharNum;{std::unordered_set<int> hasMask;hasMask.insert(0);for (int i = stickers.size() - 1; i >= 0; i--){std::unordered_map<char, int> mCur;for (auto& ch : stickers[i]){if (m_mTarget.count(ch)){mCur[ch]++;}}const int iCurMask = MakeMask(mCur);if (hasMask.count(iCurMask)){continue;}hasMask.insert(iCurMask);mAllCharNum.push_back(mCur);}}std::unordered_set<int> setPreMask,setHasDo;setPreMask.insert(m_iTargetMask);setHasDo.insert(m_iTargetMask);for (int iOpeNum = 1; iOpeNum <= target.length(); iOpeNum++){std::unordered_set<int> dp;for (auto& preMask : setPreMask){std::unordered_map<char, int> mPre;ParseMask(mPre, preMask);char chFristNeedChar = 0;for (auto& it : mPre){if (it.second > 0){chFristNeedChar = it.first;break;}}for (auto& mCur : mAllCharNum){if ((0 == mCur.count(chFristNeedChar)) || (mCur[chFristNeedChar] <= 0 )){continue;}const int iSubMask = GetSubMask(mPre, mCur);if (0 == iSubMask){continue;}const int iNewMask = preMask - iSubMask;if (setHasDo.count(iNewMask)){continue;}if (iNewMask == 0 ){return iOpeNum;}setHasDo.insert(iNewMask);dp.insert(iNewMask);}}setPreMask.swap(dp);vector<std::unordered_map<char, int>> mAllTmp;for (auto& it : setPreMask){std::unordered_map<char, int> tmp;ParseMask(tmp, it); mAllTmp.push_back(tmp);}}return -1;}int GetSubMask(const std::unordered_map<char, int>& mPre, const std::unordered_map<char, int>& mCur){int iSubMask = 0;for (auto& cur : mCur){auto pre = mPre.find(cur.first);if (pre->second ){iSubMask += min(pre->second, cur.second) * m_vCharMul[cur.first-'a'];}}return iSubMask;}int MakeMask(const std::unordered_map<char, int>& nums)const{int iMask = 0;for (const auto& mm : m_mTarget ){auto it = nums.find(mm.first);if ((nums.end() != it) && ( it->second > 0 ))			{iMask = iMask * (mm.second + 1) + min(mm.second, it->second);}else{iMask = iMask * (mm.second + 1);}}return iMask;}void ParseMask(std::unordered_map<char, int>& nums, int iMask){for (auto it = m_mTarget.begin(); it != m_mTarget.end(); ++it){const int iMul = m_vCharMul[it->first-'a'];nums[it->first] = iMask / iMul;iMask %= iMul;}}void Init(){for (auto& ch : m_target){m_mTarget[ch]++;}m_iTargetMask = MakeMask(m_mTarget);int iMul = 1;for (auto& it : m_mTarget){iMul *= (it.second + 1);}for (auto it = m_mTarget.begin(); it != m_mTarget.end(); ++it){iMul /= (it->second + 1);m_vCharMul[it->first - 'a'] = iMul;}}std::string m_target;int m_iTargetMask;std::unordered_map<char, int> m_mTarget;int m_vCharMul[26] ;

};

2023年1月 第4版

class CCTestHash
{
public:
std::size_t operator()(const std::unordered_map<char, int>& nums) const
{
return MakeMask(nums);
}
static int MakeMask(const std::unordered_map<char, int>& nums)
{
int iMask = 0;
for (const auto& mm : m_mTarget)
{
auto it = nums.find(mm.first);
if ((nums.end() != it) && (it->second > 0))
{
iMask = iMask * (mm.second + 1) + min(mm.second, it->second);
}
else
{
iMask = iMask * (mm.second + 1);
}
}
return iMask;
}

static void Init(){m_mTarget.clear();for (auto& ch : m_target){m_mTarget[ch]++;}m_iTargetMask = MakeMask(m_mTarget);int iMul = 1;for (auto& it : m_mTarget){iMul *= (it.second + 1);}for (auto it = m_mTarget.begin(); it != m_mTarget.end(); ++it){iMul /= (it->second + 1);m_vCharMul[it->first - 'a'] = iMul;}}static std::string m_target;
static int m_iTargetMask;
static std::unordered_map<char, int> m_mTarget;
static int m_vCharMul[26];

};
std::string CCTestHash::m_target;
int CCTestHash::m_iTargetMask;
std::unordered_map<char, int> CCTestHash::m_mTarget;
int CCTestHash::m_vCharMul[26];

class Solution {
public:
int minStickers(vector& stickers, string target) {
CCTestHash::m_target = target;
CCTestHash::Init();

	 std::unordered_set<std::unordered_map<char, int>, CCTestHash> hasMask;{			 for (int i = stickers.size() - 1; i >= 0; i--){std::unordered_map<char, int> mCur;for (auto& ch : stickers[i]){if (m_testHask.m_mTarget.count(ch)){mCur[ch]++;}}if (0 == mCur.size()){continue;}if (hasMask.count(mCur)){continue;}hasMask.insert(mCur);}}std::unordered_set<std::unordered_map<char, int>, CCTestHash> setPreMask, setHasDo;setPreMask.insert(CCTestHash::m_mTarget);setHasDo.insert(CCTestHash::m_mTarget);for (int iOpeNum = 1; iOpeNum <= target.length(); iOpeNum++){std::unordered_set<std::unordered_map<char, int>, CCTestHash> dp;for (auto& mPre : setPreMask){char chFristNeedChar = 0;for (auto& it : mPre){if (it.second > 0){chFristNeedChar = it.first;break;}}for (auto& mCur : hasMask){if ((0 == mCur.count(chFristNeedChar)) || (mCur.find(chFristNeedChar)->second <= 0 )){continue;}auto newMask = GetSubMask(mPre, mCur);if (setHasDo.count(newMask)){continue;}if (CCTestHash::MakeMask(newMask) == 0){return iOpeNum;}setHasDo.insert(newMask);dp.insert(newMask);}}setPreMask.swap(dp);}return -1;}std::unordered_map<char, int> GetSubMask(const std::unordered_map<char, int>& mPre, const std::unordered_map<char, int>& mCur){std::unordered_map<char, int> vRet;for (auto& pre : mPre){auto cur = mCur.find(pre.first);if (mCur.end() != cur){vRet[pre.first] = max(0, pre.second - cur->second);}else{vRet[pre.first] = pre.second;}}return vRet;}/*int MakeMask(const std::unordered_map<char, int>& nums)const{int iMask = 0;for (const auto& mm : m_mTarget ){auto it = nums.find(mm.first);if ((nums.end() != it) && ( it->second > 0 ))			{iMask = iMask * (mm.second + 1) + min(mm.second, it->second);}else{iMask = iMask * (mm.second + 1);}}return iMask;}void ParseMask(std::unordered_map<char, int>& nums, int iMask){for (auto it = m_mTarget.begin(); it != m_mTarget.end(); ++it){const int iMul = m_vCharMul[it->first-'a'];nums[it->first] = iMask / iMul;iMask %= iMul;}}*/CCTestHash m_testHask;

};

扩展阅读

视频课程

有效学习：明确的目标 及时的反馈 拉伸区（难度合适），可以先学简单的课程，请移步CSDN学院，听白银讲师（也就是鄙人）的讲解。
https://edu.csdn.net/course/detail/38771

如何你想快

速形成战斗了，为老板分忧，请学习C#入职培训、C++入职培训等课程
https://edu.csdn.net/lecturer/6176

相关下载

想高屋建瓴的学习算法，请下载《喜缺全书算法册》doc版
https://download.csdn.net/download/he_zhidan/88348653

我想对大家说的话
闻缺陷则喜是一个美好的愿望，早发现问题，早修改问题，给老板节约钱。
子墨子言之：事无终始，无务多业。也就是我们常说的专业的人做专业的事。
如果程序是一条龙，那算法就是他的是睛

测试环境

操作系统：win7 开发环境： VS2019 C++17
或者 操作系统：win10 开发环境： VS2022 C++17
如无特殊说明，本算法用**C++**实现。