Mac*_*ona 1 javascript string algorithm substring mathematical-optimization
我正在尝试为给定的字符串找到最佳字符串集.
给定字符串:"FEEJEEDAI"
子串值:
FE - 1
JE - 2
JEE - 3
AI - 4
DAI - 6
可能的组合:
1)[FE-JE-DAI] - 1 + 2 + 6 = 9
2)[FE-JEE-DAI] - 1 + 3 + 6 = 10
3)[FE-JE-AI] - 1 + 3 + 4 = 8
最佳组合 - 2)[FE-JEE-DAI]得分10
我认为它应该是这样的:
1)检查字符串是否包含特定子字符串:
var string = "FEEJEEDAI",
substring = "JE";
string.indexOf(substring) !== -1;
2)如果为true则找到它的索引
var subStringIndex = string.indexOf(substring)
3)创建新的tempString以构建组合并substring从中"切断"string
var tempString = string.slice(subStringIndex, substring.length)
4)迭代string并找到最佳tempString
我不知道如何将它构建到循环中并处理情况JE vs JEE,AI vs DAI
基本上,您可以使用迭代和递归方法来获取字符串的所有可能的子字符串.
该解决方案分为3个部分
首先,字符串的所有子字符串都收集在indices对象中.键是索引,值是具有限制的对象,该限制是模式数组中字符串的最小长度.模式数组包含索引和从该索引开始的找到的子字符串.
indices第一个例子中的对象Run Code Online (Sandbox Code Playgroud){ 0: { limit: 2, pattern: [ { index: 0, string: "FE" } ] }, 3: { limit: 2, pattern: [ { index: 3, string: "JE" }, { index: 3, string: "JEE" } ] }, /* ... */ }
主要思想是从索引零开始,使用空数组来收集子字符串.
要检查哪些部分在一个组中,您需要获取给定索引的第一个子字符串或下一个关闭的子字符串,然后获取limit属性,即最短子字符串的长度,添加索引并将其作为搜索组成员的最大索引.
从第二个例子中,第一组包括
'FE','EE'并'EEJ'Run Code Online (Sandbox Code Playgroud)string comment ---------- ------------------------------------- 01 2345678 indices FE|EJEEDAI FE| matching pattern FE at position 0 E|E matching pattern EE at position 1 E|EJ matching pattern EEJ at position 1 ^^ all starting substrings are in the same group
使用该组,将调用新的递归,调整索引并将子字符串连接到parts数组.
如果找不到更多子字符串,则连接部件并计算分数并将其推送到结果集.
解释结果
Run Code Online (Sandbox Code Playgroud)[ { parts: "0|FE|3|JE|6|DAI", score: 9 }, /* ... */ ]
parts是位置处的索引和匹配字符串的组合Run Code Online (Sandbox Code Playgroud)0|FE|3|JE|6|DAI ^ ^^ at index 0 found FE ^ ^^ at index 3 found JE ^ ^^^ at index 6 found DAI
score用给定的子串的权重计算Run Code Online (Sandbox Code Playgroud)substring weight --------- ------ FE 1 JE 2 DAI 6 --------- ------ score 9
示例三返回11个唯一组合.
function getParts(string, weights) {
function collectParts(index, parts) {
var group, limit;
while (index < string.length && !indices[index]) {
index++;
}
if (indices[index]) {
group = indices[index].pattern;
limit = index + indices[index].limit;
while (++index < limit) {
if (indices[index]) {
group = group.concat(indices[index].pattern);
}
}
group.forEach(function (o) {
collectParts(o.index + o.string.length, parts.concat(o.index, o.string));
});
return;
}
result.push({
parts: parts.join('|'),
score: parts.reduce(function (score, part) { return score + (weights[part] || 0); }, 0)
});
}
var indices = {},
pattern,
result = [];
Object.keys(weights).forEach(function (k) {
var p = string.indexOf(k);
while (p !== -1) {
pattern = { index: p, string: k };
if (indices[p]) {
indices[p].pattern.push(pattern);
if (indices[p].limit > k.length) {
indices[p].limit = k.length;
}
} else {
indices[p] = { limit: k.length, pattern: [pattern] };
}
p = string.indexOf(k, p + 1);
}
});
collectParts(0, []);
return result;
}
console.log(getParts("FEEJEEDAI", { FE: 1, JE: 2, JEE: 3, AI: 4, DAI: 6 }));
console.log(getParts("FEEJEEDAI", { FE: 1, JE: 2, JEE: 3, AI: 4, DAI: 6, EEJ: 5, EJE: 3, EE: 1 }));
console.log(getParts("EEEEEE", { EE: 2, EEE: 3 }));Run Code Online (Sandbox Code Playgroud)
.as-console-wrapper { max-height: 100% !important; top: 0; }Run Code Online (Sandbox Code Playgroud)