Algorithm to generate all variants of a word - algorithm

i would like to explain my problem by the following example.
assume the word: abc
a has variants: ä, à
b has no variants.
c has variants: ç
so the possible words are:
abc
äbc
àbc
abç
äbç
àbç
now i am looking for the algorithm that prints all word variantions for abritray words with arbitray lettervariants.

I would recommend you to solve this recursively. Here's some Java code for you to get started:
static Map<Character, char[]> variants = new HashMap<Character, char[]>() {{
put('a', new char[] {'ä', 'à'});
put('b', new char[] { });
put('c', new char[] { 'ç' });
}};
public static Set<String> variation(String str) {
Set<String> result = new HashSet<String>();
if (str.isEmpty()) {
result.add("");
return result;
}
char c = str.charAt(0);
for (String tailVariant : variation(str.substring(1))) {
result.add(c + tailVariant);
for (char variant : variants.get(c))
result.add(variant + tailVariant);
}
return result;
}
Test:
public static void main(String[] args) {
for (String str : variation("abc"))
System.out.println(str);
}
Output:
abc
àbç
äbc
àbc
äbç
abç

A quickly hacked solution in Python:
def word_variants(variants):
print_variants("", 1, variants);
def print_variants(word, i, variants):
if i > len(variants):
print word
else:
for variant in variants[i]:
print_variants(word + variant, i + 1, variants)
variants = dict()
variants[1] = ['a0', 'a1', 'a2']
variants[2] = ['b0']
variants[3] = ['c0', 'c1']
word_variants(variants)

Common part:
string[] letterEquiv = { "aäà", "b", "cç", "d", "eèé" };
// Here we make a dictionary where the key is the "base" letter and the value is an array of alternatives
var lookup = letterEquiv
.Select(p => p.ToCharArray())
.SelectMany(p => p, (p, q) => new { key = q, values = p }).ToDictionary(p => p.key, p => p.values);
A recursive variation written in C#.
List<string> resultsRecursive = new List<string>();
// I'm using an anonymous method that "closes" around resultsRecursive and lookup. You could make it a standard method that accepts as a parameter the two.
// Recursive anonymous methods must be declared in this way in C#. Nothing to see.
Action<string, int, char[]> recursive = null;
recursive = (str, ix, str2) =>
{
// In the first loop str2 is null, so we create the place where the string will be built.
if (str2 == null)
{
str2 = new char[str.Length];
}
// The possible variations for the current character
var equivs = lookup[str[ix]];
// For each variation
foreach (var eq in equivs)
{
// We save the current variation for the current character
str2[ix] = eq;
// If we haven't reached the end of the string
if (ix < str.Length - 1)
{
// We recurse, increasing the index
recursive(str, ix + 1, str2);
}
else
{
// We save the string
resultsRecursive.Add(new string(str2));
}
}
};
// We launch our function
recursive("abcdeabcde", 0, null);
// The results are in resultsRecursive
A non-recursive version
List<string> resultsNonRecursive = new List<string>();
// I'm using an anonymous method that "closes" around resultsNonRecursive and lookup. You could make it a standard method that accepts as a parameter the two.
Action<string> nonRecursive = (str) =>
{
// We will have two arrays, of the same length of the string. One will contain
// the possible variations for that letter, the other will contain the "current"
// "chosen" variation of that letter
char[][] equivs = new char[str.Length][];
int[] ixes = new int[str.Length];
for (int i = 0; i < ixes.Length; i++)
{
// We start with index -1 so that the first increase will bring it to 0
equivs[i] = lookup[str[i]];
ixes[i] = -1;
}
// The current "workin" index of the original string
int ix = 0;
// The place where the string will be built.
char[] str2 = new char[str.Length];
// The loop will break when we will have to increment the letter with index -1
while (ix >= 0)
{
// We select the next possible variation for the current character
ixes[ix]++;
// If we have exausted the possible variations of the current character
if (ixes[ix] == equivs[ix].Length)
{
// Reset the current character to -1
ixes[ix] = -1;
// And loop back to the previous character
ix--;
continue;
}
// We save the current variation for the current character
str2[ix] = equivs[ix][ixes[ix]];
// If we are setting the last character of the string, then the string
// is complete
if (ix == str.Length - 1)
{
// And we save it
resultsNonRecursive.Add(new string(str2));
}
else
{
// Otherwise we have to do everything for the next character
ix++;
}
}
};
// We launch our function
nonRecursive("abcdeabcde");
// The results are in resultsNonRecursive
Both heavily commented.

Related

Algorithm / data structure for resolving nested interpolated values in this example?

I am working on a compiler and one aspect currently is how to wait for interpolated variable names to be resolved. So I am wondering how to take a nested interpolated variable string and build some sort of simple data model/schema for unwrapping the evaluated string so to speak. Let me demonstrate.
Say we have a string like this:
foo{a{x}-{y}}-{baz{one}-{two}}-foo{c}
That has 1, 2, and 3 levels of nested interpolations in it. So essentially it should resolve something like this:
wait for x, y, one, two, and c to resolve.
when both x and y resolve, then resolve a{x}-{y} immediately.
when both one and two resolve, resolve baz{one}-{two}.
when a{x}-{y}, baz{one}-{two}, and c all resolve, then finally resolve the whole expression.
I am shaky on my understanding of the logic flow for handling something like this, wondering if you could help solidify/clarify the general algorithm (high level pseudocode or something like that). Mainly just looking for how I would structure the data model and algorithm so as to progressively evaluate when the pieces are ready.
I'm starting out trying and it's not clear what to do next:
{
dependencies: [
{
path: [x]
},
{
path: [y]
}
],
parent: {
dependency: a{x}-{y} // interpolated term
parent: {
dependencies: [
{
}
]
}
}
}
Some sort of tree is probably necessary, but I am having trouble figuring out what it might look like, wondering if you could shed some light on that with some pseudocode (or JavaScript even).
watch the leaf nodes at first
then, when the children of a node are completed, propagate upward to resolving the next parent node. This would mean once x and y are done, it could resolve a{x}-{y}, but then wait until the other nodes are ready before doing the final top-level evaluation.
You can just simulate it by sending "events" to the system theoretically, like:
ready('y')
ready('c')
ready('x')
ready('a{x}-{y}')
function ready(variable) {
if ()
}
...actually that may not work, not sure how to handle the interpolated nodes in a hacky way like that. But even a high level description of how to solve this would be helpful.
export type SiteDependencyObserverParentType = {
observer: SiteDependencyObserverType
remaining: number
}
export type SiteDependencyObserverType = {
children: Array<SiteDependencyObserverType>
node: LinkNodeType
parent?: SiteDependencyObserverParentType
path: Array<string>
}
(What I'm currently thinking, some TypeScript)
Here is an approach in JavaScript:
Parse the input string to create a Node instance for each {} term, and create parent-child dependencies between the nodes.
Collect the leaf Nodes of this tree as the tree is being constructed: group these leaf nodes by their identifier. Note that the same identifier could occur multiple times in the input string, leading to multiple Nodes. If a variable x is resolved, then all Nodes with that name (the group) will be resolved.
Each node has a resolve method to set its final value
Each node has a notify method that any of its child nodes can call in order to notify it that the child has been resolved with a value. This may (or may not yet) lead to a cascading call of resolve.
In a demo, a timer is set up that at every tick will resolve a randomly picked variable to some number
I think that in your example, foo, and a might be functions that need to be called, but I didn't elaborate on that, and just considered them as literal text that does not need further treatment. It should not be difficult to extend the algorithm with such function-calling features.
class Node {
constructor(parent) {
this.source = ""; // The slice of the input string that maps to this node
this.texts = []; // Literal text that's not part of interpolation
this.children = []; // Node instances corresponding to interpolation
this.parent = parent; // Link to parent that should get notified when this node resolves
this.value = undefined; // Not yet resolved
}
isResolved() {
return this.value !== undefined;
}
resolve(value) {
if (this.isResolved()) return; // A node is not allowed to resolve twice: ignore
console.log(`Resolving "${this.source}" to "${value}"`);
this.value = value;
if (this.parent) this.parent.notify();
}
notify() {
// Check if all dependencies have been resolved
let value = "";
for (let i = 0; i < this.children.length; i++) {
const child = this.children[i];
if (!child.isResolved()) { // Not ready yet
console.log(`"${this.source}" is getting notified, but not all dependecies are ready yet`);
return;
}
value += this.texts[i] + child.value;
}
console.log(`"${this.source}" is getting notified, and all dependecies are ready:`);
this.resolve(value + this.texts.at(-1));
}
}
function makeTree(s) {
const leaves = {}; // nodes keyed by atomic names (like "x" "y" in the example)
const tokens = s.split(/([{}])/);
let i = 0; // Index in s
function dfs(parent=null) {
const node = new Node(parent);
const start = i;
while (tokens.length) {
const token = tokens.shift();
i += token.length;
if (token == "}") break;
if (token == "{") {
node.children.push(dfs(node));
} else {
node.texts.push(token);
}
}
node.source = s.slice(start, i - (tokens.length ? 1 : 0));
if (node.children.length == 0) { // It's a leaf
const label = node.texts[0];
leaves[label] ??= []; // Define as empty array if not yet defined
leaves[label].push(node);
}
return node;
}
dfs();
return leaves;
}
// ------------------- DEMO --------------------
let s = "foo{a{x}-{y}}-{baz{one}-{two}}-foo{c}";
const leaves = makeTree(s);
// Create a random order in which to resolve the atomic variables:
function shuffle(array) {
for (var i = array.length - 1; i > 0; i--) {
var j = Math.floor(Math.random() * (i + 1));
[array[j], array[i]] = [array[i], array[j]];
}
return array;
}
const names = shuffle(Object.keys(leaves));
// Use a timer to resolve the variables one by one in the given random order
let index = 0;
function resolveRandomVariable() {
if (index >= names.length) return; // all done
console.log("\n---------------- timer tick --------------");
const name = names[index++];
console.log(`Variable ${name} gets a value: "${index}". Calling resolve() on the connected node instance(s):`);
for (const node of leaves[name]) node.resolve(index);
setTimeout(resolveRandomVariable, 1000);
}
setTimeout(resolveRandomVariable, 1000);
your idea of building a dependency tree it's really likeable.
Anyway I tryed to find a solution as simplest possible.
Even if it already works, there are many optimizations possible, take this just as proof of concept.
The background idea it's produce a List of Strings which you can read in order where each element it's what you need to solve progressively. Each element might be mandatory to solve something that come next in the List, hence for the overall expression. Once you solved all the chunks you have all pieces to solve your original expression.
It's written in Java, I hope it's understandable.
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Objects;
public class StackOverflow {
public static void main(String[] args) {
String exp = "foo{a{x}-{y}}-{baz{one}-{two}}-foo{c}";
List<String> chunks = expToChunks(exp);
//it just reverse the order of the list
Collections.reverse(chunks);
System.out.println(chunks);
//output -> [c, two, one, baz{one}-{two}, y, x, a{x}-{y}]
}
public static List<String> expToChunks(String exp) {
List<String> chunks = new ArrayList<>();
//this first piece just find the first inner open parenthesys and its relative close parenthesys
int begin = exp.indexOf("{") + 1;
int numberOfParenthesys = 1;
int end = -1;
for(int i = begin; i < exp.length(); i++) {
char c = exp.charAt(i);
if (c == '{') numberOfParenthesys ++;
if (c == '}') numberOfParenthesys --;
if (numberOfParenthesys == 0) {
end = i;
break;
}
}
//this if put an end to recursive calls
if(begin > 0 && begin < exp.length() && end > 0) {
//add the chunk to the final list
String substring = exp.substring(begin, end);
chunks.add(substring);
//remove from the starting expression the already considered chunk
String newExp = exp.replace("{" + substring + "}", "");
//recursive call for inner element on the chunk found
chunks.addAll(Objects.requireNonNull(expToChunks(substring)));
//calculate other chunks on the remained expression
chunks.addAll(Objects.requireNonNull(expToChunks(newExp)));
}
return chunks;
}
}
Some details on the code:
The following piece find the begin and the end index of the first outer chunk of expression. The background idea is: in a valid expression the number of open parenthesys must be equal to the number of closing parenthesys. The count of open(+1) and close(-1) parenthesys can't ever be negative.
So using that simple loop once I find the count of parenthesys to be 0, I also found the first chunk of the expression.
int begin = exp.indexOf("{") + 1;
int numberOfParenthesys = 1;
int end = -1;
for(int i = begin; i < exp.length(); i++) {
char c = exp.charAt(i);
if (c == '{') numberOfParenthesys ++;
if (c == '}') numberOfParenthesys --;
if (numberOfParenthesys == 0) {
end = i;
break;
}
}
The if condition provide validation on the begin and end indexes and stop the recursive call when no more chunks can be found on the remained expression.
if(begin > 0 && begin < exp.length() && end > 0) {
...
}

Algo: replace chars of string to find the correct word

I have a string from OCR which contains some errors.
For example "2SQ41S" in place of "250415", i have a dictionary for the possible replacements:
O/Q can be replaced by 0,
S can be replaced by 5...
I can calculate the checksum to be sure that the good word is found.
Here is the function recursive which doesn't work, it will be stopped when startPosition>=6, it's before the correct word was found:
public void CombinaisonTest()
{
string date = "2SO41S";
Dictionary<char, String[]> replaceDictionary= new Dictionary<char, String[]>()
{
{'O', new []{"Q", "0"}},
{'S', new []{"8", "5", "B"}}
};
String result = "";
var r = combinations2(date, 0, replaceDictionary);
Console.WriteLine("Date: " + date);
Console.WriteLine("R: " + r);
}
public string combinations2(string date, int startPosition, Dictionary<char, String[]> dictionary)
{
Console.WriteLine("Call function " + date + ", " + startPosition);
if (string.Join("", date).Equals("250415")) //need to calculate checksum
{
Console.WriteLine("Found: " + date);
return date;
}
if (startPosition >= date.Length)
{
Console.WriteLine("Not Found: ");
return "";
}
for (int i = startPosition; i < date.Length; i++)
{
if (dictionary.ContainsKey(date.ToCharArray()[i]))
{
foreach (var value in dictionary[date.ToCharArray()[i]])
{
return combinations2(date.Remove(i, 1).Insert(i, value), startPosition + 1, dictionary);
}
}
else
{
return combinations2(date, i + 1, dictionary);
}
}
return combinations2(date, startPosition + 1, dictionary);
}
Do you have any ideas for the corrections, please?
Thank you.
There are a couple of issues with the code. The first is that when iterating through the values in the dictionary, it returns after checking the first one, so it will only ever try and substitute Q for 0 and 8 for S. The second is that you are attempting two methods of processing the characters in the string: iterative AND recursive. You don't need to iterate over the index i with a for loop and also use recursion.
Another issue (which isn't a problem in your use case but stops the algorithm being more generic) is that the algorithm attempts to do a substitution in every case where an ambiguous character is encountered, as well as iterating over each value in the dictionary you should also consider the case where the character is left unmodified.
The function can be changed to remove the outer for loop and iterate over the values in the dictionary, test each one (recursing over the remainder of the string) and only return if a match is found. A simple way to do this is to store the result in a string and only return it if it is not the empty string (since your function returns the empty string when no match is found). If all the values in the dictionary have been tried and no match has been found, then it tries recursing without modifying the string.
public string combinations2(string date, int startPosition, Dictionary<char, String[]> dictionary)
{
Console.WriteLine("Call function " + date + ", " + startPosition);
if (string.Join("", date).Equals("250415")) //need to calculate checksum
{
Console.WriteLine("Found: " + date);
return date;
}
if (startPosition >= date.Length)
{
Console.WriteLine("Not Found: ");
return "";
}
if (dictionary.ContainsKey(date.ToCharArray()[startPosition]))
{
foreach (var value in dictionary[date.ToCharArray()[startPosition]])
{
string result = combinations2(date.Remove(startPosition, 1).Insert(startPosition, value), startPosition + 1, dictionary);
if(result != "")
return result;
}
}
return combinations2(date, startPosition + 1, dictionary);
}

splitting up the contents of a single line

I just went through a problem, where input is a string which is a single word.
This line is not readable,
Like, I want to leave is written as Iwanttoleave.
The problem is of separating out each of the tokens(words, numbers, abbreviations, etc)
I have no idea where to start
The first thought that came to my mind is making a dictionary and then mapping accordingly but I think making a dictionary is not at all a good idea.
Can anyone suggest some algorithm to do it ?
First of all, create a dictionary which helps you to identify if some string is a valid word or not.
bool isValidString(String s){
if(dictionary.contains(s))
return true;
return false;
}
Now, you can write a recursive code to split the string and create an array of actually useful words.
ArrayList usefulWords = new ArrayList<String>; //global declaration
void split(String s){
int l = s.length();
int i,j;
for(i = l-1; i >= 0; i--){
if(isValidString(s.substr(i,l)){ //s.substr(i,l) will return substring starting from index `i` and ending at `l-1`
usefulWords.add(s.substr(i,l));
split(s.substr(0,i));
}
}
}
Now, use these usefulWords to generate all possible strings. Maybe something like this:
ArrayList<String> splits = new ArrayList<String>[10]; //assuming max 10 possible outputs
ArrayList<String>[] allPossibleStrings(String s, int level){
for(int i = 0; i < s.length(); i++){
if(usefulWords.contains(s.substr(0,i)){
splits[level].add(s.substr(0,i));
allPossibleStrings(s.substr(i,s.length()),level);
level++;
}
}
}
Now, this code gives you all possible splits in a somewhat arbitrary manner. eg.
dictionary = {cat, dog, i, am, pro, gram, program, programmer, grammer}
input:
string = program
output:
splits[0] = {pro, gram}
splits[1] = {program}
input:
string = iamprogram
output:
splits[0] = {i, am, pro, gram} //since `mer` is not in dictionary
splits[1] = {program}
I did not give much thought to the last part, but I think you should be able to formulate a code from there as per your requirement.
Also, since no language is tagged, I've taken the liberty of writing the code in JAVA-like syntax as it is really easy to understand.
Instead of using a Dictionary, I'd suggest you use a Trie with all your valid words (the whole English dictionary?). Then you can start moving one letter at a time in your input line and the trie at the same time. If the letter leads to more results in the trie, you can continue expanding the current word, and if not, you can start looking for a new word in the trie.
This won't be a forward only search for sure, so you'll need some sort of backtracking.
// This method Generates a list with all the matching phrases for the given input
List<string> CandidatePhrases(string input) {
Trie validWords = BuildTheTrieWithAllValidWords();
List<string> currentWords = new List<string>();
List<string> possiblePhrases = new List<string>();
// The root of the trie has an empty key that points to all the first letters of all words
Trie currentWord = validWords;
int currentLetter = -1;
// Calls a backtracking method that creates all possible phrases
FindPossiblePhrases(input, validWords, currentWords, currentWord, currentLetter, possiblePhrases);
return possiblePhrases;
}
// The Trie structure could be something like
class Trie {
char key;
bool valid;
List<Trie> children;
Trie parent;
Trie Next(char nextLetter) {
return children.FirstOrDefault(c => c.key == nextLetter);
}
string WholeWord() {
Debug.Assert(valid);
string word = "";
Trie current = this;
while (current.Key != '\0')
{
word = current.Key + word;
current = current.parent;
}
}
}
void FindPossiblePhrases(string input, Trie validWords, List<string> currentWords, Trie currentWord, int currentLetter, List<string> possiblePhrases) {
if (currentLetter == input.Length - 1) {
if (currentWord.valid) {
string phrase = ""
foreach (string word in currentWords) {
phrase += word;
phrase += " ";
}
phrase += currentWord.WholeWord();
possiblePhrases.Add(phrase);
}
}
else {
// The currentWord may be a valid word. If that's the case, the next letter could be the first of a new word, or could be the next letter of a bigger word that begins with currentWord
if (currentWord.valid) {
// Try to match phrases when the currentWord is a valid word
currentWords.Add(currentWord.WholeWord());
FindPossiblePhrases(input, validWords, currentWords, validWords, currentLetter, possiblePhrases);
currentWords.RemoveAt(currentWords.Length - 1);
}
// If either the currentWord is a valid word, or not, try to match a longer word that begins with current word
int nextLetter = currentLetter + 1;
Trie nextWord = currentWord.Next(input[nextLetter]);
// If the nextWord is null, there was no matching word that begins with currentWord and has input[nextLetter] as the following letter.
if (nextWord != null) {
FindPossiblePhrases(input, validWords, currentWords, nextWord, nextLetter, possiblePhrases);
}
}
}

how to sort a list in Vala using custom Comparator

I'm trying to get a directory listing and sort it into last modified time order using Vala.
I've got the directory listing part into a List < FileInfo >.
But I cannot figure out how to sort the list.
This is done via the the sort(CompareFunc<G> compare_func) method in the List class. You can read more about it here.
A basic example for strings would be:
list.sort((a,b) => {
return a.ascii_casecmp(b);
});
The return value of the function passed to sort() is the same as the ISO C90 qsort(3) function:
The comparison function must return an integer less than, equal to, or greater than zero if the first argument is considered to be respectively less than, equal to, or greater than the second.
As you're interested in modify time, the FileAttribute you're looking for is TIME_MODIFIED which you would get by calling the appropriate get_attribute_* method of FileInfo.
static int main (string[] args) {
var directory = File.new_for_path ("/var/db/pkg");
var glib_list = new GLib.List<FileInfo> ();
try {
var enumerator = directory.enumerate_children (FileAttribute.TIME_MODIFIED, FileQueryInfoFlags.NOFOLLOW_SYMLINKS);
FileInfo file_info;
while ((file_info = enumerator.next_file()) != null) {
glib_list.append(file_info);
}
} catch(Error e) {
stderr.printf ("Error: %s\n", e.message);
}
// Lets sort it.
CompareFunc<FileInfo> my_compare_func = (a, b) => {
long c = a.get_modification_time().tv_sec;
long d = b.get_modification_time().tv_sec;
return (int) (c > d) - (int) (c < d);
};
glib_list.sort(my_compare_func);
foreach (FileInfo file_info in glib_list) {
stdout.printf ("%s\n", file_info.get_name());
}
return 0;
}

How do I create a URL shortener? [closed]

Closed. This question needs to be more focused. It is not currently accepting answers.
Closed 1 year ago.
Locked. This question and its answers are locked because the question is off-topic but has historical significance. It is not currently accepting new answers or interactions.
I want to create a URL shortener service where you can write a long URL into an input field and the service shortens the URL to "http://www.example.org/abcdef".
Instead of "abcdef" there can be any other string with six characters containing a-z, A-Z and 0-9. That makes 56~57 billion possible strings.
My approach:
I have a database table with three columns:
id, integer, auto-increment
long, string, the long URL the user entered
short, string, the shortened URL (or just the six characters)
I would then insert the long URL into the table. Then I would select the auto-increment value for "id" and build a hash of it. This hash should then be inserted as "short". But what sort of hash should I build? Hash algorithms like MD5 create too long strings. I don't use these algorithms, I think. A self-built algorithm will work, too.
My idea:
For "http://www.google.de/" I get the auto-increment id 239472. Then I do the following steps:
short = '';
if divisible by 2, add "a"+the result to short
if divisible by 3, add "b"+the result to short
... until I have divisors for a-z and A-Z.
That could be repeated until the number isn't divisible any more. Do you think this is a good approach? Do you have a better idea?
Due to the ongoing interest in this topic, I've published an efficient solution to GitHub, with implementations for JavaScript, PHP, Python and Java. Add your solutions if you like :)
I would continue your "convert number to string" approach. However, you will realize that your proposed algorithm fails if your ID is a prime and greater than 52.
Theoretical background
You need a Bijective Function f. This is necessary so that you can find a inverse function g('abc') = 123 for your f(123) = 'abc' function. This means:
There must be no x1, x2 (with x1 ≠ x2) that will make f(x1) = f(x2),
and for every y you must be able to find an x so that f(x) = y.
How to convert the ID to a shortened URL
Think of an alphabet we want to use. In your case, that's [a-zA-Z0-9]. It contains 62 letters.
Take an auto-generated, unique numerical key (the auto-incremented id of a MySQL table for example).
For this example, I will use 12510 (125 with a base of 10).
Now you have to convert 12510 to X62 (base 62).
12510 = 2×621 + 1×620 = [2,1]
This requires the use of integer division and modulo. A pseudo-code example:
digits = []
while num > 0
remainder = modulo(num, 62)
digits.push(remainder)
num = divide(num, 62)
digits = digits.reverse
Now map the indices 2 and 1 to your alphabet. This is how your mapping (with an array for example) could look like:
0 → a
1 → b
...
25 → z
...
52 → 0
61 → 9
With 2 → c and 1 → b, you will receive cb62 as the shortened URL.
http://shor.ty/cb
How to resolve a shortened URL to the initial ID
The reverse is even easier. You just do a reverse lookup in your alphabet.
e9a62 will be resolved to "4th, 61st, and 0th letter in the alphabet".
e9a62 = [4,61,0] = 4×622 + 61×621 + 0×620 = 1915810
Now find your database-record with WHERE id = 19158 and do the redirect.
Example implementations (provided by commenters)
C++
Python
Ruby
Haskell
C#
CoffeeScript
Perl
Why would you want to use a hash?
You can just use a simple translation of your auto-increment value to an alphanumeric value. You can do that easily by using some base conversion. Say you character space (A-Z, a-z, 0-9, etc.) has 62 characters, convert the id to a base-40 number and use the characters as the digits.
public class UrlShortener {
private static final String ALPHABET = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789";
private static final int BASE = ALPHABET.length();
public static String encode(int num) {
StringBuilder sb = new StringBuilder();
while ( num > 0 ) {
sb.append( ALPHABET.charAt( num % BASE ) );
num /= BASE;
}
return sb.reverse().toString();
}
public static int decode(String str) {
int num = 0;
for ( int i = 0; i < str.length(); i++ )
num = num * BASE + ALPHABET.indexOf(str.charAt(i));
return num;
}
}
Not an answer to your question, but I wouldn't use case-sensitive shortened URLs. They are hard to remember, usually unreadable (many fonts render 1 and l, 0 and O and other characters very very similar that they are near impossible to tell the difference) and downright error prone. Try to use lower or upper case only.
Also, try to have a format where you mix the numbers and characters in a predefined form. There are studies that show that people tend to remember one form better than others (think phone numbers, where the numbers are grouped in a specific form). Try something like num-char-char-num-char-char. I know this will lower the combinations, especially if you don't have upper and lower case, but it would be more usable and therefore useful.
My approach: Take the Database ID, then Base36 Encode it. I would NOT use both Upper AND Lowercase letters, because that makes transmitting those URLs over the telephone a nightmare, but you could of course easily extend the function to be a base 62 en/decoder.
Here is my PHP 5 class.
<?php
class Bijective
{
public $dictionary = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789";
public function __construct()
{
$this->dictionary = str_split($this->dictionary);
}
public function encode($i)
{
if ($i == 0)
return $this->dictionary[0];
$result = '';
$base = count($this->dictionary);
while ($i > 0)
{
$result[] = $this->dictionary[($i % $base)];
$i = floor($i / $base);
}
$result = array_reverse($result);
return join("", $result);
}
public function decode($input)
{
$i = 0;
$base = count($this->dictionary);
$input = str_split($input);
foreach($input as $char)
{
$pos = array_search($char, $this->dictionary);
$i = $i * $base + $pos;
}
return $i;
}
}
A Node.js and MongoDB solution
Since we know the format that MongoDB uses to create a new ObjectId with 12 bytes.
a 4-byte value representing the seconds since the Unix epoch,
a 3-byte machine identifier,
a 2-byte process id
a 3-byte counter (in your machine), starting with a random value.
Example (I choose a random sequence)
a1b2c3d4e5f6g7h8i9j1k2l3
a1b2c3d4 represents the seconds since the Unix epoch,
4e5f6g7 represents machine identifier,
h8i9 represents process id
j1k2l3 represents the counter, starting with a random value.
Since the counter will be unique if we are storing the data in the same machine we can get it with no doubts that it will be duplicate.
So the short URL will be the counter and here is a code snippet assuming that your server is running properly.
const mongoose = require('mongoose');
const Schema = mongoose.Schema;
// Create a schema
const shortUrl = new Schema({
long_url: { type: String, required: true },
short_url: { type: String, required: true, unique: true },
});
const ShortUrl = mongoose.model('ShortUrl', shortUrl);
// The user can request to get a short URL by providing a long URL using a form
app.post('/shorten', function(req ,res){
// Create a new shortUrl */
// The submit form has an input with longURL as its name attribute.
const longUrl = req.body["longURL"];
const newUrl = ShortUrl({
long_url : longUrl,
short_url : "",
});
const shortUrl = newUrl._id.toString().slice(-6);
newUrl.short_url = shortUrl;
console.log(newUrl);
newUrl.save(function(err){
console.log("the new URL is added");
})
});
I keep incrementing an integer sequence per domain in the database and use Hashids to encode the integer into a URL path.
static hashids = Hashids(salt = "my app rocks", minSize = 6)
I ran a script to see how long it takes until it exhausts the character length. For six characters it can do 164,916,224 links and then goes up to seven characters. Bitly uses seven characters. Under five characters looks weird to me.
Hashids can decode the URL path back to a integer but a simpler solution is to use the entire short link sho.rt/ka8ds3 as a primary key.
Here is the full concept:
function addDomain(domain) {
table("domains").insert("domain", domain, "seq", 0)
}
function addURL(domain, longURL) {
seq = table("domains").where("domain = ?", domain).increment("seq")
shortURL = domain + "/" + hashids.encode(seq)
table("links").insert("short", shortURL, "long", longURL)
return shortURL
}
// GET /:hashcode
function handleRequest(req, res) {
shortURL = req.host + "/" + req.param("hashcode")
longURL = table("links").where("short = ?", shortURL).get("long")
res.redirect(301, longURL)
}
C# version:
public class UrlShortener
{
private static String ALPHABET = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789";
private static int BASE = 62;
public static String encode(int num)
{
StringBuilder sb = new StringBuilder();
while ( num > 0 )
{
sb.Append( ALPHABET[( num % BASE )] );
num /= BASE;
}
StringBuilder builder = new StringBuilder();
for (int i = sb.Length - 1; i >= 0; i--)
{
builder.Append(sb[i]);
}
return builder.ToString();
}
public static int decode(String str)
{
int num = 0;
for ( int i = 0, len = str.Length; i < len; i++ )
{
num = num * BASE + ALPHABET.IndexOf( str[(i)] );
}
return num;
}
}
You could hash the entire URL, but if you just want to shorten the id, do as marcel suggested. I wrote this Python implementation:
https://gist.github.com/778542
Take a look at https://hashids.org/ it is open source and in many languages.
Their page outlines some of the pitfalls of other approaches.
If you don't want re-invent the wheel ... http://lilurl.sourceforge.net/
// simple approach
$original_id = 56789;
$shortened_id = base_convert($original_id, 10, 36);
$un_shortened_id = base_convert($shortened_id, 36, 10);
alphabet = map(chr, range(97,123)+range(65,91)) + map(str,range(0,10))
def lookup(k, a=alphabet):
if type(k) == int:
return a[k]
elif type(k) == str:
return a.index(k)
def encode(i, a=alphabet):
'''Takes an integer and returns it in the given base with mappings for upper/lower case letters and numbers 0-9.'''
try:
i = int(i)
except Exception:
raise TypeError("Input must be an integer.")
def incode(i=i, p=1, a=a):
# Here to protect p.
if i <= 61:
return lookup(i)
else:
pval = pow(62,p)
nval = i/pval
remainder = i % pval
if nval <= 61:
return lookup(nval) + incode(i % pval)
else:
return incode(i, p+1)
return incode()
def decode(s, a=alphabet):
'''Takes a base 62 string in our alphabet and returns it in base10.'''
try:
s = str(s)
except Exception:
raise TypeError("Input must be a string.")
return sum([lookup(i) * pow(62,p) for p,i in enumerate(list(reversed(s)))])a
Here's my version for whomever needs it.
Why not just translate your id to a string? You just need a function that maps a digit between, say, 0 and 61 to a single letter (upper/lower case) or digit. Then apply this to create, say, 4-letter codes, and you've got 14.7 million URLs covered.
Here is a decent URL encoding function for PHP...
// From http://snipplr.com/view/22246/base62-encode--decode/
private function base_encode($val, $base=62, $chars='0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ') {
$str = '';
do {
$i = fmod($val, $base);
$str = $chars[$i] . $str;
$val = ($val - $i) / $base;
} while($val > 0);
return $str;
}
Don't know if anyone will find this useful - it is more of a 'hack n slash' method, yet is simple and works nicely if you want only specific chars.
$dictionary = "abcdfghjklmnpqrstvwxyz23456789";
$dictionary = str_split($dictionary);
// Encode
$str_id = '';
$base = count($dictionary);
while($id > 0) {
$rem = $id % $base;
$id = ($id - $rem) / $base;
$str_id .= $dictionary[$rem];
}
// Decode
$id_ar = str_split($str_id);
$id = 0;
for($i = count($id_ar); $i > 0; $i--) {
$id += array_search($id_ar[$i-1], $dictionary) * pow($base, $i - 1);
}
Did you omit O, 0, and i on purpose?
I just created a PHP class based on Ryan's solution.
<?php
$shorty = new App_Shorty();
echo 'ID: ' . 1000;
echo '<br/> Short link: ' . $shorty->encode(1000);
echo '<br/> Decoded Short Link: ' . $shorty->decode($shorty->encode(1000));
/**
* A nice shorting class based on Ryan Charmley's suggestion see the link on Stack Overflow below.
* #author Svetoslav Marinov (Slavi) | http://WebWeb.ca
* #see http://stackoverflow.com/questions/742013/how-to-code-a-url-shortener/10386945#10386945
*/
class App_Shorty {
/**
* Explicitly omitted: i, o, 1, 0 because they are confusing. Also use only lowercase ... as
* dictating this over the phone might be tough.
* #var string
*/
private $dictionary = "abcdfghjklmnpqrstvwxyz23456789";
private $dictionary_array = array();
public function __construct() {
$this->dictionary_array = str_split($this->dictionary);
}
/**
* Gets ID and converts it into a string.
* #param int $id
*/
public function encode($id) {
$str_id = '';
$base = count($this->dictionary_array);
while ($id > 0) {
$rem = $id % $base;
$id = ($id - $rem) / $base;
$str_id .= $this->dictionary_array[$rem];
}
return $str_id;
}
/**
* Converts /abc into an integer ID
* #param string
* #return int $id
*/
public function decode($str_id) {
$id = 0;
$id_ar = str_split($str_id);
$base = count($this->dictionary_array);
for ($i = count($id_ar); $i > 0; $i--) {
$id += array_search($id_ar[$i - 1], $this->dictionary_array) * pow($base, $i - 1);
}
return $id;
}
}
?>
public class TinyUrl {
private final String characterMap = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789";
private final int charBase = characterMap.length();
public String covertToCharacter(int num){
StringBuilder sb = new StringBuilder();
while (num > 0){
sb.append(characterMap.charAt(num % charBase));
num /= charBase;
}
return sb.reverse().toString();
}
public int covertToInteger(String str){
int num = 0;
for(int i = 0 ; i< str.length(); i++)
num += characterMap.indexOf(str.charAt(i)) * Math.pow(charBase , (str.length() - (i + 1)));
return num;
}
}
class TinyUrlTest{
public static void main(String[] args) {
TinyUrl tinyUrl = new TinyUrl();
int num = 122312215;
String url = tinyUrl.covertToCharacter(num);
System.out.println("Tiny url: " + url);
System.out.println("Id: " + tinyUrl.covertToInteger(url));
}
}
This is what I use:
# Generate a [0-9a-zA-Z] string
ALPHABET = map(str,range(0, 10)) + map(chr, range(97, 123) + range(65, 91))
def encode_id(id_number, alphabet=ALPHABET):
"""Convert an integer to a string."""
if id_number == 0:
return alphabet[0]
alphabet_len = len(alphabet) # Cache
result = ''
while id_number > 0:
id_number, mod = divmod(id_number, alphabet_len)
result = alphabet[mod] + result
return result
def decode_id(id_string, alphabet=ALPHABET):
"""Convert a string to an integer."""
alphabet_len = len(alphabet) # Cache
return sum([alphabet.index(char) * pow(alphabet_len, power) for power, char in enumerate(reversed(id_string))])
It's very fast and can take long integers.
For a similar project, to get a new key, I make a wrapper function around a random string generator that calls the generator until I get a string that hasn't already been used in my hashtable. This method will slow down once your name space starts to get full, but as you have said, even with only 6 characters, you have plenty of namespace to work with.
I have a variant of the problem, in that I store web pages from many different authors and need to prevent discovery of pages by guesswork. So my short URLs add a couple of extra digits to the Base-62 string for the page number. These extra digits are generated from information in the page record itself and they ensure that only 1 in 3844 URLs are valid (assuming 2-digit Base-62). You can see an outline description at http://mgscan.com/MBWL.
Very good answer, I have created a Golang implementation of the bjf:
package bjf
import (
"math"
"strings"
"strconv"
)
const alphabet = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789"
func Encode(num string) string {
n, _ := strconv.ParseUint(num, 10, 64)
t := make([]byte, 0)
/* Special case */
if n == 0 {
return string(alphabet[0])
}
/* Map */
for n > 0 {
r := n % uint64(len(alphabet))
t = append(t, alphabet[r])
n = n / uint64(len(alphabet))
}
/* Reverse */
for i, j := 0, len(t) - 1; i < j; i, j = i + 1, j - 1 {
t[i], t[j] = t[j], t[i]
}
return string(t)
}
func Decode(token string) int {
r := int(0)
p := float64(len(token)) - 1
for i := 0; i < len(token); i++ {
r += strings.Index(alphabet, string(token[i])) * int(math.Pow(float64(len(alphabet)), p))
p--
}
return r
}
Hosted at github: https://github.com/xor-gate/go-bjf
Implementation in Scala:
class Encoder(alphabet: String) extends (Long => String) {
val Base = alphabet.size
override def apply(number: Long) = {
def encode(current: Long): List[Int] = {
if (current == 0) Nil
else (current % Base).toInt :: encode(current / Base)
}
encode(number).reverse
.map(current => alphabet.charAt(current)).mkString
}
}
class Decoder(alphabet: String) extends (String => Long) {
val Base = alphabet.size
override def apply(string: String) = {
def decode(current: Long, encodedPart: String): Long = {
if (encodedPart.size == 0) current
else decode(current * Base + alphabet.indexOf(encodedPart.head),encodedPart.tail)
}
decode(0,string)
}
}
Test example with Scala test:
import org.scalatest.{FlatSpec, Matchers}
class DecoderAndEncoderTest extends FlatSpec with Matchers {
val Alphabet = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789"
"A number with base 10" should "be correctly encoded into base 62 string" in {
val encoder = new Encoder(Alphabet)
encoder(127) should be ("cd")
encoder(543513414) should be ("KWGPy")
}
"A base 62 string" should "be correctly decoded into a number with base 10" in {
val decoder = new Decoder(Alphabet)
decoder("cd") should be (127)
decoder("KWGPy") should be (543513414)
}
}
Function based in Xeoncross Class
function shortly($input){
$dictionary = ['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z','A','B','C','D','E','F','G','H','I','J','K','L','M','N','O','P','Q','R','S','T','U','V','W','X','Y','Z','0','1','2','3','4','5','6','7','8','9'];
if($input===0)
return $dictionary[0];
$base = count($dictionary);
if(is_numeric($input)){
$result = [];
while($input > 0){
$result[] = $dictionary[($input % $base)];
$input = floor($input / $base);
}
return join("", array_reverse($result));
}
$i = 0;
$input = str_split($input);
foreach($input as $char){
$pos = array_search($char, $dictionary);
$i = $i * $base + $pos;
}
return $i;
}
Here is a Node.js implementation that is likely to bit.ly. generate a highly random seven-character string.
It uses Node.js crypto to generate a highly random 25 charset rather than randomly selecting seven characters.
var crypto = require("crypto");
exports.shortURL = new function () {
this.getShortURL = function () {
var sURL = '',
_rand = crypto.randomBytes(25).toString('hex'),
_base = _rand.length;
for (var i = 0; i < 7; i++)
sURL += _rand.charAt(Math.floor(Math.random() * _rand.length));
return sURL;
};
}
My Python 3 version
base_list = list("0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ")
base = len(base_list)
def encode(num: int):
result = []
if num == 0:
result.append(base_list[0])
while num > 0:
result.append(base_list[num % base])
num //= base
print("".join(reversed(result)))
def decode(code: str):
num = 0
code_list = list(code)
for index, code in enumerate(reversed(code_list)):
num += base_list.index(code) * base ** index
print(num)
if __name__ == '__main__':
encode(341413134141)
decode("60FoItT")
For a quality Node.js / JavaScript solution, see the id-shortener module, which is thoroughly tested and has been used in production for months.
It provides an efficient id / URL shortener backed by pluggable storage defaulting to Redis, and you can even customize your short id character set and whether or not shortening is idempotent. This is an important distinction that not all URL shorteners take into account.
In relation to other answers here, this module implements the Marcel Jackwerth's excellent accepted answer above.
The core of the solution is provided by the following Redis Lua snippet:
local sequence = redis.call('incr', KEYS[1])
local chars = '0123456789ABCDEFGHJKLMNPQRSTUVWXYZ_abcdefghijkmnopqrstuvwxyz'
local remaining = sequence
local slug = ''
while (remaining > 0) do
local d = (remaining % 60)
local character = string.sub(chars, d + 1, d + 1)
slug = character .. slug
remaining = (remaining - d) / 60
end
redis.call('hset', KEYS[2], slug, ARGV[1])
return slug
Why not just generate a random string and append it to the base URL? This is a very simplified version of doing this in C#.
static string chars = "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ1234567890";
static string baseUrl = "https://google.com/";
private static string RandomString(int length)
{
char[] s = new char[length];
Random rnd = new Random();
for (int x = 0; x < length; x++)
{
s[x] = chars[rnd.Next(chars.Length)];
}
Thread.Sleep(10);
return new String(s);
}
Then just add the append the random string to the baseURL:
string tinyURL = baseUrl + RandomString(5);
Remember this is a very simplified version of doing this and it's possible the RandomString method could create duplicate strings. In production you would want to take in account for duplicate strings to ensure you will always have a unique URL. I have some code that takes account for duplicate strings by querying a database table I could share if anyone is interested.
This is my initial thoughts, and more thinking can be done, or some simulation can be made to see if it works well or any improvement is needed:
My answer is to remember the long URL in the database, and use the ID 0 to 9999999999999999 (or however large the number is needed).
But the ID 0 to 9999999999999999 can be an issue, because
it can be shorter if we use hexadecimal, or even base62 or base64. (base64 just like YouTube using A-Z a-z 0-9 _ and -)
if it increases from 0 to 9999999999999999 uniformly, then hackers can visit them in that order and know what URLs people are sending each other, so it can be a privacy issue
We can do this:
have one server allocate 0 to 999 to one server, Server A, so now Server A has 1000 of such IDs. So if there are 20 or 200 servers constantly wanting new IDs, it doesn't have to keep asking for each new ID, but rather asking once for 1000 IDs
for the ID 1, for example, reverse the bits. So 000...00000001 becomes 10000...000, so that when converted to base64, it will be non-uniformly increasing IDs each time.
use XOR to flip the bits for the final IDs. For example, XOR with 0xD5AA96...2373 (like a secret key), and the some bits will be flipped. (whenever the secret key has the 1 bit on, it will flip the bit of the ID). This will make the IDs even harder to guess and appear more random
Following this scheme, the single server that allocates the IDs can form the IDs, and so can the 20 or 200 servers requesting the allocation of IDs. The allocating server has to use a lock / semaphore to prevent two requesting servers from getting the same batch (or if it is accepting one connection at a time, this already solves the problem). So we don't want the line (queue) to be too long for waiting to get an allocation. So that's why allocating 1000 or 10000 at a time can solve the issue.

Resources