I have a list of strings, I want to check if the string contains a specific word, and if it does split all the words in the string and add it to an associative array.
myString = ['RT #Arsenal: Waiting for the international', 'We’re hungry for revenge #_nachomonreal on Saturday\'s match and aiming for a strong finish']
wordtoFind = ['#Arsenal']
I want to loop through the wordtoFind and if it is in myString, split up myString into individual words and create an object like
newWord = {#Arsenal:[{RT:1},{Waiting:1},{for:1},{the:1},{international:1}]}
for(z=0; z <wordtoFind.length; z++){
for ( i = 0 ; i < myString.length; i++) {
if (myString[i].indexOf(wordtoFind[z].key) > -1){
myString[i].split(" ")
}
}
}
I would say something likes would work, this also counts the amount of occurrences of a word in a sentence. JavaScript does not have associative arrays like PHP for instance. They just have objects or numbered arrays:
var myString = ['RT #Arsenal: Waiting for the international', 'We’re hungry for revenge #_nachomonreal on Saturday\'s match and aiming for a strong finish'];
var wordtoFind = ['#Arsenal'];
var result = {};
for(var i = 0, l = wordtoFind.length; i < l; i++) {
for(var ii = 0, ll = myString.length; ii < ll; ii++) {
if(myString[ii].indexOf(wordtoFind[i]) !== -1) {
var split = myString[ii].split(' ');
var resultpart = {};
for(var iii = 0, lll = split.length; iii < lll; iii++) {
if(split[iii] !== wordtoFind[i]) {
if(!resultpart.hasOwnProperty(split[iii])) {
resultpart[split[iii]] = 0;
}
resultpart[split[iii]]++;
}
}
result[wordtoFind[i]] = resultpart;
}
}
}
console.log(result);
//{"#Arsenal":{"RT":1,"Waiting":1,"for":1,"the":1,"international":1}}
This method makes use of the forEach-function and callbacks.
The containsWord-function was left with a for-loop for now to reduce some callbacks, this can obviously be changed.
var myString = [
'RT #Arsenal: Waiting for the international',
'We’re hungry for revenge #_nachomonreal on Saturday\'s match and aiming for a strong finish',
'#Arsenal: one two three four two four three four three four'
];
var wordtoFind = ['#Arsenal'];
// define the preprocessor that is used before the equality check
function preprocessor(word) {
return word.replace(':', '');
}
function findOccurences(array, search, callback, preprocessor) {
var result = {};
var count = 0;
// calculate the maximum iterations
var max = search.length * array.length;
// iterate the search strings that should be matched
search.forEach(function(needle) {
// iterate the array of strings that should be searched in
array.forEach(function(haystack) {
if (containsWord(haystack, needle, preprocessor)) {
var words = haystack.split(' ');
// iterate every word to count the occurences and write them to the result
words.forEach(function(word) {
countOccurence(result, needle, word);
})
}
count++;
// once every iteration finished, call the callback
if (count == max) {
callback && callback(result);
}
});
});
}
function containsWord(haystack, needle, preprocessor) {
var words = haystack.split(' ');
for (var i = 0; i < words.length; i++) {
var word = words[i];
// preprocess a word before it's compared
if (preprocessor) {
word = preprocessor(word);
}
// if it matches return true
if (word === needle) {
return true;
}
}
return false;
}
function countOccurence(result, key, word) {
// add array to object if it doesn't exist yet
if (!result.hasOwnProperty(key)) {
result[key] = [];
}
var entry = result[key];
// set the count to 0 if it doesn't exist yet
if (!entry.hasOwnProperty(word)) {
entry[word] = 0;
}
entry[word]++;
}
// call our function to find the occurences
findOccurences(myString, wordtoFind, function(result) {
// do something with the result
console.log(result);
}, preprocessor);
// output:
/*
{ '#Arsenal':
[ RT: 1,
'#Arsenal:': 2,
Waiting: 1,
for: 1,
the: 1,
international: 1,
one: 1,
two: 2,
three: 3,
four: 4 ] }
*/
Feel free to ask any questions, if the answer needs clarification.
I hope this fits your needs.
You're on the right track. You just need to store the split string into the associative array variable.
var assocArr = [];
for(z=0; z <wordtoFind.length; z++){
for ( i = 0 ; i < myString.length; i++) {
if (myString[i].indexOf(wordtoFind[z]) > -1){
myString[i].split(" ").forEach(function(word){
assocArr.push(word);
});
}
}
}
I think the key problem that stuck you is the data structure. The optimal structure should be something like this:
{
#Arsenal:[
{RT:1, Waiting:1, for:1, the:1, international:1},
{xxx:1, yyy:1, zzz:3}, //for there are multiple ones in 'myString' that contain the same '#Arsenal'
{slkj:1, sldjfl:2, lsdkjf:1} //maybe more
]
someOtherWord:[
{},
{},
....
]
}
And the code:
var result = {};
//This function will return an object like {RT:1, Waiting:1, for:1, the:1, international:1}.
function calculateCount(string, key) {
var wordCounts = {};
string.split(" ").forEach(function (word) {
if (word !== key) {
if (wordCounts[word] === undefined) wordCounts[word] = 1;
else wordCounts[word]++;
}
});
return wordCounts;
}
//For each 'word to find' and each string that contain the 'word to find', push in that returned object {RT:1, Waiting:1, for:1, the:1, international:1}.
wordToFind.forEach(function (word) {
var current = result[word] = [];
myString.forEach(function (str) {
if (str.indexOf(word) > -1) {
current.push(
calculateCount(str, word)
);
}
}); //Missed the right parenthesis here
});
Related
Sample data:
String: "barfoofoobarthefoobarman"
Array of words: ["bar", "foo", "the"]
Output:
[6, 9, 12]
I was asked this question during an interview. Due to time constraint, I tried to find all the possible words that could be made out of the array of words (i. e. "barfoothe"), but was told that would not scale for large arrays. Was suggested to use a map data structure, but I think my solution doesn't scale either, and it's brute forced.
Here's the solution.
var solution = function(string, words) {
let output = [];
let wordsMap = new Map();
let wordsNumber = words.length;
let wordLength = words[0].length;
words.forEach((word) => {
if (!wordsMap.has(word))
wordsMap.set(word, 1);
else
wordsMap.set(word, wordsMap.get(word) + 1);
});
for (let i = 0; i <= string.length-(wordsNumber*wordLength); i+=wordLength) {
let tempMap = new Map(wordsMap);
let check = true;
let tempString = string.substring(i, i + wordsNumber*wordLength);
for (let j = 0; j <= tempString.length - wordLength; j += wordLength) {
let tempString2 = tempString.substring(j, j + wordLength);
if (tempMap.has(tempString2))
tempMap.set(tempString2, tempMap.get(tempString2) - 1);
}
for (let val of tempMap.values()){
if (val !== 0){
check = false
break;
}
}
if (check)
output.push(i)
}
console.log(output);
}
solution("barfoothefoobarman", ["foo", "bar"]);
Any suggestion for a smarter solution?
You could create a dynamic regular expression.
const words = ['foo', 'bar']
const rx = new RegExp(words.join('|'), 'g')
// todo escape special characters
Then search away.
const counts = words.map(it=>0) // [0,0]
// todo use map or object to track counts instead of array
while (m = rx.exec(inputString)) {
const index = words.indexOf(m[0])
counts[index]++
}
Thank you for your question. I think the question in the interview was less about the right solution and more about the right approach.
The trickiest part is actually just finding the word combinations. There are several approaches here. For me it's a clear case for recursion.
So my approach would be:
find all word combinations, except combinations with itself (for example: foofoo or barbar).
iterate through the word combinations and ask whether they are contained in the string.
extra: Sort SolutionArray
Done!
Note: I use indexOf() for point 2 but I think a regex match would make it even better because you find all possibilities of a word in a string and not just the first one like with indexOf. Would make sense for longer strings.
const arr = ["foo", "bar"];
const str = "barfoothefoobarman"
let res = [];
const combinations = (len, val, existing) => {
if (len == 0) {
res.push(val);
return;
}
for(let i=0; i<arr.length; i++) {
if(! existing[i]) {
existing[i] = true;
combinations(len-1, val + arr[i], existing);
existing[i] = false;
}
}
}
const buildCombinations = (arr = []) => {
for(let i = 0; i < arr.length; i++) {
combinations(arr.length - i, "", []);
}
};
buildCombinations(arr);
// exclude the base wordes from result array
newRes = res.filter((e) => {
if (! arr.includes(e)) {
return e;
}
})
console.log('all word combinations:', newRes);
// get the string position
const _positions = [];
newRes.forEach((w) => {
let res = str.indexOf(w);
if (res != -1 && ! _positions.includes(res)) {
_positions.push(res);
}
})
// sort array and use Float64Array to speed up
const positions = new Float64Array(_positions)
console.log('positions', positions.sort())
I am trying to create a function to make this test pass
Here is my following code for my test cases:
var removeMiddle = require("./remove-middle");
test("Remove middle", function () {
var words = ["mouse", "giraffe", "queen", "window", "bottle"];
var expectedWords = ["mouse", "giraffe", "window", "bottle"];
var expectedOutput = ["queen"];
var output = removeMiddle(words);
expect(output).toEqual(expectedOutput);
expect(words).toEqual(expectedWords);
});
Here is my function that I created:
function removeMiddle(words) {
let index = [];
words.splice(2, 1);
for (let i = 0; i < words.length; i++) {
if (words[i] === "queen") {
index.push(words[i]);
}
}
return words;
}
module.exports = removeMiddle;
Right now my function just passed the second test case which is: expect(words).toEqual(expectedWords);
Firstly, you expect your output to be the word(s) removed. But you are returning the words array from removeWords. You probably can return index.
Also, once you have spliced your words array, queen will no more be a part of the array. So your for loop does nothing and index returns an empty array.
You can modify your code like this to get your expected output:
function removeMiddle(words) {
let index = [words[2]];
words.splice(2, 1);
return index;
}
But right now your code is a little hard coded, works only for a fixed length of array(5). You can do the following if you want a more generic solution.
function removeMiddle(words) {
if(words.length == 0) return [];
let index = [];
let middleElements = [];
if(words.length % 2 == 0){
console.log(words[Math.floor(words.length/2)]);
middleElements.push(words[Math.floor(words.length/2)]);
words.splice(words.length/2,1);
console.log(words[Math.floor(words.length/2)]);
middleElements.push(words[Math.floor(words.length/2)]);
words.splice(words.length/2,1);
}
else{
console.log(words.length/2);
middleElements.push(words[Math.floor(words.length/2)]);
words.splice(words.length/2,1);
}
return middleElements;
}
I have 2 arrays.
1: [a, ab, abc, abcde]
2: [a, ab, abc, abcde, abcdefe, axde]
in the first array, I used this code to get the longest line.
function longestChain(words) {
// Write your code here
var xintTOstring = "";
var result = 0;
for (var x = 0; x < words.length; x++){
xintTOstring = words[x].toString();
if (xintTOstring.length > result) {
result = xintTOstring.length;
}
}
return result;
}
but then in the second array, the longest is "axde". because the abcde in that array cannot be the longest because it has an equal like value.
I try this code but did not get the expected result. and also the longest line is the abcdefer.
question: how can I get the longest line and check if it is valued like equal in the string. I tried this code but did not get the right output.
function longestChain(words) {
// Write your code here
var xintTOstring = "";
var result = 0;
for (var x = 0; x < words.length; x++){
xintTOstring = words[x].toString();
if (!words[x].toString().inclcudes(xintTOstring)) {
if (xintTOstring.length > result) {
result = xintTOstring.length;
}
}
}
return result;
}
regards
function equalLike(word) {
// should the equality be checked within the array or in global stream?
}
function longestChain(words) {
return words.reduce((longest,word) => longest = longest.length > equalLike(word).length ?
longest : word,'');
}
the longest word acts as the accumulator.
If I understand correctly, each call to longest word should return the longest word not yet found. Go through each list, keep object of longest words, check against that object, and check substrings against keys
const longestWords = {};
const longestChain = function(words) {
let longestInList = "";
words.forEach(function(word) {
if (validLongestWord(word) && word.length > longestInList.length) {
longestInList = word;
}
});
longestWords[longestInList] = longestInList.length; //maybe handy for sorting later
return longestInList;
}
const validLongestWord = function(word) {
if(longestWords[word]) return false;
return !Object.keys(longestWords).some(key=>key.indexOf(word) >=0);
}
console.log(longestChain(["a", "ab", "abc", "abcde", "abcdefe", "axde"])); //abcdefe
console.log(longestChain(["a", "ab", "abc", "abcde", "abcdefe", "axde"])); //axde
console.log(longestChain(["a", "ab", "abc", "abcde", "abcdefe", "axde"])); //none
I believe this is the problem that the OP is trying to solve using JavaScript:
Longest Character Removal Chain
and
Interview Questions - String Chain
Anyone please feel welcome to edit this answer to provide a solution for the question asked.
var StackOverFlow;
(function(StackOverFlow) {
var LongestChain = (function() {
function LongestChain() {}
LongestChain.main = function(args) {
// Array of words
var words = ["a", "ab", "abc", "abcdefe", "axde"];
console.info(
"Longest Chain Length : " + LongestChain.longest_chain(words)
);
};
LongestChain.longest_chain = function(w) {
if (null == w || w.length < 1) {
return 0;
}
var maxChainLen = 0;
var words = w.slice(0).slice(0);
var wordToLongestChain = {};
for (var index7809 = 0; index7809 < w.length; index7809++) {
var word = w[index7809];
{
if (maxChainLen > word.length) {
continue;
}
var curChainLen =
LongestChain.find_chain_len(word, words, wordToLongestChain) + 1;
/* put */ wordToLongestChain[word] = curChainLen;
maxChainLen = Math.max(maxChainLen, curChainLen);
}
}
return maxChainLen;
};
LongestChain.find_chain_len = function(word, words, wordToLongestChain) {
var curChainLen = 0;
for (var i = 0; i < word.length; i++) {
var nextWord = word.substring(0, i) + word.substring(i + 1);
if (words.indexOf(nextWord) >= 0) {
if (wordToLongestChain.hasOwnProperty(nextWord)) {
curChainLen = Math.max(
curChainLen,
/* get */ (function(m, k) {
return m[k] ? m[k] : null;
})(wordToLongestChain, nextWord)
);
} else {
var nextWordChainLen = LongestChain.find_chain_len(
nextWord,
words,
wordToLongestChain
);
curChainLen = Math.max(curChainLen, nextWordChainLen + 1);
}
}
}
return curChainLen;
};
return LongestChain;
})();
StackOverFlow.LongestChain = LongestChain;
LongestChain["__class"] = "StackOverFlow.LongestChain";
})(StackOverFlow || (StackOverFlow = {}));
StackOverFlow.LongestChain.main(null);
This question already has answers here:
Palindrome check in Javascript
(45 answers)
Closed 4 years ago.
The question I have been given is this;
create a function that takes an array of words and returns an array containing only the palindromes.
A palindrome is a word that is spelled the same way backwards.
E.g. ['foo', 'racecar', 'pineapple', 'porcupine', 'pineenip'] => ['racecar', 'pineenip']
This is the code that I create;
let arr = []
let str = words.slice(0)
let pal = str.toString().split("").reverse().join("")
console.log(pal);
for (let i = 0; i < words.length; i++) {
for (let k = 0; k < pal.length; k++) {
if (words[i] == pal[k]) {
arr.push(words[i])
}
}
}
return arr
}
This is the test that my code is run against;
describe("findPalindromes", () => {
it("returns [] when passed []", () => {
expect(findPalindromes([])).to.eql([]);
});
it("identifies a palindrom", () => {
expect(findPalindromes(["racecar"])).to.eql(["racecar"]);
});
it("ignores non-palindromes", () => {
expect(findPalindromes(["pineapple", "racecar", "pony"])).to.eql([
"racecar"
]);
});
it("returns [] when passed no palindromes", () => {
expect(findPalindromes(["pineapple", "watermelon", "pony"])).to.eql([]);
});
});
Does anyone have any any suggestion of how to make my code work?
This is the simplest function that returns true or false if the str is a palindrome or not.
I would use this in combination with the filter function to filter on all palindromes. Like this
function checkPalindrom(str) { //function that checks if palindrome or not
return str == str.split('').reverse().join('');
}
const result = words.filter(word => checkPalindrom(word)); //filter function that filters array to only keep palindromes
Without giving spoilers to the answer (this is a common interview question) a clean approach would be as follows:
Define a function isPalindrome(string): boolean
Use the filter property available on the Array prototype to return an array of only palindromes e.g. inputArray.filter(isPalindrome)
Both can be unit tested separately, for example:
You could define an array of inputs and expected outputs for isPalindrome [{ input: "racecar", expectedOutput: true}, {input: "pineapple", expectedOutput: false}, ...] and loop over each test case.
function isPalindrome(word) {
const firstHalf = word.slice(0, Math.ceil(word.length/2));
const secondHalfReversed = word.slice(Math.floor(word.length/2)).split('').reverse().join('');
return firstHalf === secondHalfReversed;
}
function getPalindromesFromArray(arr) {
return arr.filter(isPalindrome);
}
const wordsArr = ['foo', 'racecar', 'pineapple', 'porcupine', 'pineenip'];
console.log(getPalindromesFromArray(wordsArr));
using for loop and filter
let arr = ["foo", "racecar", "pineapple", "porcupine", "pineenip",'pap','aaaa'];
let palindromes = arr.filter(w => {
let len = w.length;
for (let i = 0; i < len / 2; i++) {
if (w[i] == w[len - i - 1]) {
return true;
} else {
return false;
}
}
});
console.log(palindromes)
To solve that first I would create an isPalindrome function like this:
function isPalindrome(word) {
palindromeWord = ''
for(var i = word.length - 1; i >= 0; i--) {
palindromeWord += word.charAt(i)
}
return palindromeWord === word
}
and then I would check for each word inside the array like this:
let arr = ['foo', 'racecar', 'pineapple', 'porcupine', 'pineenip']
let palindromeArr = []
arr.forEach(word => {
if (isPalindrome(word)) {
palindromeArr.push(word)
}
})
console.log(palindromeArr)
What you have is good, however when you did
var pal = str.toString().split("").reverse().join("")
You changed from an array to a string, then you went into the loop with the string, so pal[k] gave a character and not a word.
To change pal back to an array of strings, split it again, use
var pal = str.toString().split("").reverse().join("").split(",");
var words = ['foo', 'racecar', 'pineapple', 'porcupine', 'pineenip'];
var arr = [];
var str = words.slice(0);
var pal = str.toString().split("").reverse().join("").split(",");
console.log(pal);
for (let i = 0; i < words.length; i++) {
for (let k = 0; k < pal.length; k++) {
if (words[i] == pal[k]) {
arr.push(words[i])
}
}
}
console.log(arr);
I saw this interview question and gave a go. I got stuck. The interview question is:
Given a string
var s = "ilikealibaba";
and a dictionary
var d = ["i", "like", "ali", "liba", "baba", "alibaba"];
try to give the s with min space
The output may be
i like alibaba (2 spaces)
i like ali baba (3 spaces)
but pick no.1
I have some code, but got stuck in the printing.
If you have better way to do this question, let me know.
function isStartSub(part, s) {
var condi = s.startsWith(part);
return condi;
}
function getRestStr(part, s) {
var len = part.length;
var len1 = s.length;
var out = s.substring(len, len1);
return out;
}
function recPrint(arr) {
if(arr.length == 0) {
return '';
} else {
var str = arr.pop();
return str + recPrint(arr);
}
}
// NOTE: have trouble to print
// Or if you have better ways to do this interview question, please let me know
function myPrint(arr) {
return recPrint(arr);
}
function getMinArr(arr) {
var min = Number.MAX_SAFE_INTEGER;
var index = 0;
for(var i=0; i<arr.length; i++) {
var sub = arr[i];
if(sub.length < min) {
min = sub.length;
index = i;
} else {
}
}
return arr[index];
}
function rec(s, d, buf) {
// Base
if(s.length == 0) {
return;
} else {
}
for(var i=0; i<d.length; i++) {
var subBuf = [];
// baba
var part = d[i];
var condi = isStartSub(part, s);
if(condi) {
// rest string
var restStr = getRestStr(part, s);
rec(restStr, d, subBuf);
subBuf.unshift(part);
buf.unshift(subBuf);
} else {
}
} // end loop
}
function myfunc(s, d) {
var buf = [];
rec(s, d, buf);
console.log('-- test --');
console.dir(buf, {depth:null});
return myPrint(buf);
}
// Output will be
// 1. i like alibaba (with 2 spaces)
// 2. i like ali baba (with 3 spaces)
// we pick no.1, as it needs less spaces
var s = "ilikealibaba";
var d = ["i", "like", "ali", "liba", "baba", "alibaba"];
var out = myfunc(s, d);
console.log(out);
Basically, my output is, not sure how to print it....
[ [ 'i', [ 'like', [ 'alibaba' ], [ 'ali', [ 'baba' ] ] ] ] ]
This problem is best suited for a dynamic programming approach. The subproblem is, "what is the best way to create a prefix of s". Then, for a given prefix of s, we consider all words that match the end of the prefix, and choose the best one using the results from the earlier prefixes.
Here is an implementation:
var s = "ilikealibaba";
var arr = ["i", "like", "ali", "liba", "baba", "alibaba"];
var dp = []; // dp[i] is the optimal solution for s.substring(0, i)
dp.push("");
for (var i = 1; i <= s.length; i++) {
var best = null; // the best way so far for s.substring(0, i)
for (var j = 0; j < arr.length; j++) {
var word = arr[j];
// consider all words that appear at the end of the prefix
if (!s.substring(0, i).endsWith(word))
continue;
if (word.length == i) {
best = word; // using single word is optimal
break;
}
var prev = dp[i - word.length];
if (prev === null)
continue; // s.substring(i - word.length) can't be made at all
if (best === null || prev.length + word.length + 1 < best.length)
best = prev + " " + word;
}
dp.push(best);
}
console.log(dp[s.length]);
pkpnd's answer is along the right track. But word dictionaries tend to be quite large sets, and iterating over the entire dictionary at every character of the string is going to be inefficient. (Also, saving the entire sequence for each dp cell may consume a large amount of space.) Rather, we can frame the question, as we iterate over the string, as: given all the previous indexes of the string that had dictionary matches extending back (either to the start or to another match), which one is both a dictionary match when we include the current character, and has a smaller length in total. Generally:
f(i) = min(
f(j) + length(i - j) + (1 if j is after the start of the string)
)
for all j < i, where string[j] ended a dictionary match
and string[j+1..i] is in the dictionary
Since we only add another j when there is a match and a new match can only extend back to a previous match or to the start of the string, our data structure could be an array of tuples, (best index this match extends back to, total length up to here). We add another tuple if the current character can extend a dictionary match back to another record we already have. We can also optimize by exiting early from the backwards search once the matched substring would be greater than the longest word in the dictionary, and building the substring to compare against the dictionary as we iterate backwards.
JavaScript code:
function f(str, dict){
let m = [[-1, -1, -1]];
for (let i=0; i<str.length; i++){
let best = [null, null, Infinity];
let substr = '';
let _i = i;
for (let j=m.length-1; j>=0; j--){
let [idx, _j, _total] = m[j];
substr = str.substr(idx + 1, _i - idx) + substr;
_i = idx;
if (dict.has(substr)){
let total = _total + 1 + i - idx;
if (total < best[2])
best = [i, j, total];
}
}
if (best[0] !== null)
m.push(best);
}
return m;
}
var s = "ilikealibaba";
var d = new Set(["i", "like", "ali", "liba", "baba", "alibaba"]);
console.log(JSON.stringify(f(s,d)));
We can track back our result:
[[-1,-1,-1],[0,0,1],[4,1,6],[7,2,10],[11,2,14]]
[11, 2, 14] means a total length of 14,
where the previous index in m is 2 and the right index
of the substr is 11
=> follow it back to m[2] = [4, 1, 6]
this substr ended at index 4 (which means the
first was "alibaba"), and followed m[1]
=> [0, 0, 1], means this substr ended at index 1
so the previous one was "like"
And there you have it: "i like alibaba"
As you're asked to find a shortest answer probably Breadth-First Search would be a possible solution. Or you could look into A* Search.
Here is working example with A* (cause it's less bring to do than BFS :)), basically just copied from Wikipedia article. All the "turning string into a graph" magick happens in the getNeighbors function
https://jsfiddle.net/yLeps4v5/4/
var str = 'ilikealibaba'
var dictionary = ['i', 'like', 'ali', 'baba', 'alibaba']
var START = -1
var FINISH = str.length - 1
// Returns all the positions in the string that we can "jump" to from position i
function getNeighbors(i) {
const matchingWords = dictionary.filter(word => str.slice(i + 1, i + 1 + word.length) == word)
return matchingWords.map(word => i + word.length)
}
function aStar(start, goal) {
// The set of nodes already evaluated
const closedSet = {};
// The set of currently discovered nodes that are not evaluated yet.
// Initially, only the start node is known.
const openSet = [start];
// For each node, which node it can most efficiently be reached from.
// If a node can be reached from many nodes, cameFrom will eventually contain the
// most efficient previous step.
var cameFrom = {};
// For each node, the cost of getting from the start node to that node.
const gScore = dictionary.reduce((acc, word) => { acc[word] = Infinity; return acc }, {})
// The cost of going from start to start is zero.
gScore[start] = 0
while (openSet.length > 0) {
var current = openSet.shift()
if (current == goal) {
return reconstruct_path(cameFrom, current)
}
closedSet[current] = true;
getNeighbors(current).forEach(neighbor => {
if (closedSet[neighbor]) {
return // Ignore the neighbor which is already evaluated.
}
if (openSet.indexOf(neighbor) == -1) { // Discover a new node
openSet.push(neighbor)
}
// The distance from start to a neighbor
var tentative_gScore = gScore[current] + 1
if (tentative_gScore >= gScore[neighbor]) {
return // This is not a better path.
}
// This path is the best until now. Record it!
cameFrom[neighbor] = current
gScore[neighbor] = tentative_gScore
})
}
throw new Error('path not found')
}
function reconstruct_path(cameFrom, current) {
var answer = [];
while (cameFrom[current] || cameFrom[current] == 0) {
answer.push(str.slice(cameFrom[current] + 1, current + 1))
current = cameFrom[current];
}
return answer.reverse()
}
console.log(aStar(START, FINISH));
You could collect all possible combinations of the string by checking the starting string and render then the result.
If more than one result has the minimum length, all results are taken.
It might not work for extrema with string who just contains the same base string, like 'abcabc' and 'abc'. In this case I suggest to use the shortest string and update any part result by iterating for finding longer strings and replace if possible.
function getWords(string, array = []) {
words
.filter(w => string.startsWith(w))
.forEach(s => {
var rest = string.slice(s.length),
temp = array.concat(s);
if (rest) {
getWords(rest, temp);
} else {
result.push(temp);
}
});
}
var string = "ilikealibaba",
words = ["i", "like", "ali", "liba", "baba", "alibaba"],
result = [];
getWords(string);
console.log('all possible combinations:', result);
console.log('result:', result.reduce((r, a) => {
if (!r || r[0].length > a.length) {
return [a];
}
if (r[0].length === a.length) {
r.push(a);
}
return r;
}, undefined))
Use trie data structure
Construct a trie data structure based on the dictionary data
Search the sentence for all possible slices and build a solution tree
Deep traverse the solution tree and sort the final combinations
const sentence = 'ilikealibaba';
const words = ['i', 'like', 'ali', 'liba', 'baba', 'alibaba',];
class TrieNode {
constructor() { }
set(a) {
this[a] = this[a] || new TrieNode();
return this[a];
}
search(word, marks, depth = 1) {
word = Array.isArray(word) ? word : word.split('');
const a = word.shift();
if (this[a]) {
if (this[a]._) {
marks.push(depth);
}
this[a].search(word, marks, depth + 1);
} else {
return 0;
}
}
}
TrieNode.createTree = words => {
const root = new TrieNode();
words.forEach(word => {
let currentNode = root;
for (let i = 0; i < word.length; i++) {
currentNode = currentNode.set(word[i]);
}
currentNode.set('_');
});
return root;
};
const t = TrieNode.createTree(words);
function searchSentence(sentence) {
const marks = [];
t.search(sentence, marks);
const ret = {};
marks.map(mark => {
ret[mark] = searchSentence(sentence.slice(mark));
});
return ret;
}
const solutionTree = searchSentence(sentence);
function deepTraverse(tree, sentence, targetLen = sentence.length) {
const stack = [];
const sum = () => stack.reduce((acc, mark) => acc + mark, 0);
const ret = [];
(function traverse(tree) {
const keys = Object.keys(tree);
keys.forEach(key => {
stack.push(+key);
if (sum() === targetLen) {
const result = [];
let tempStr = sentence;
stack.forEach(mark => {
result.push(tempStr.slice(0, mark));
tempStr = tempStr.slice(mark);
});
ret.push(result);
}
if(tree[key]) {
traverse(tree[key]);
}
stack.pop();
});
})(tree);
return ret;
}
const solutions = deepTraverse(solutionTree, sentence);
solutions.sort((s1, s2) => s1.length - s2.length).forEach((s, i) => {
console.log(`${i + 1}. ${s.join(' ')} (${s.length - 1} spaces)`);
});
console.log('pick no.1');