A comma separated list of strings can be compressed by finding common substrings and grouping those strings together into Token Lists
More formally, a Token List is a list where each item can be one of the following:
Examples:
ab,ac => a{b,c} ac,ad,bc,bd => {a,b}{c,d} axc,axd,bxc,bxd => {a,b}x{c,d}
This technique is used to compress folder paths since a folder like
README.md resources/ js/ app.js boot.js comp/ a.js b.js
[ "README.md", "resources/js/app.js", "resources/js/boot.js", "resources/js/comp/a.js", "resources/js/comp/b.js" ]
“README.md,resources/js/app.js,resources/js/boot.js,resources/js/comp/a.js,resources/js/comp/b.js”and then we can compress them to the following Token List:
README.md,resources/js/{app,boot,comp/{a,b}}.js
Given a Token List representing a compressed folder, return the initial list of paths.
Example 1:
Input: "resources/{js/{app.js,comp/{a.js,b.js},boot.js}},README.md" Output: [ "README.md", "resources/js/app.js", "resources/js/boot.js", "resources/js/comp/a.js", "resources/js/comp/b.js" ]
Example 2:
Input: "my_{first,second}_folder/{a,b}{.js,.py}" Output: [ "my_first_folder/a.js, "my_first_folder/a.py, "my_first_folder/b.js, "my_first_folder/b.py, "my_second_folder/a.js, "my_second_folder/a.py, "my_second_folder/b.js, "my_second_folder/b.py ]
Note: The resulting array can be in any order
The core challenge of this problem is to decompress a given Token List into its original list of paths. This involves parsing the Token List, identifying the grouped substrings, and generating all possible combinations of these substrings to form the original paths.
This problem is significant in scenarios where file paths or similar hierarchical data structures are compressed for storage or transmission efficiency. Potential pitfalls include correctly handling nested Token Lists and ensuring all combinations are generated.
To solve this problem, we need to parse the Token List and generate all possible combinations of substrings. Here's a step-by-step approach:
A naive solution would involve recursively parsing the string and generating combinations, but this can be inefficient for deeply nested structures. An optimized approach involves using a stack to manage the nested structures and iteratively generating combinations.
Here's a step-by-step breakdown of the algorithm:
/**
* Decompresses a given Token List into its original list of paths.
* @param {string} tokenList - The compressed Token List.
* @return {string[]} - The original list of paths.
*/
function decompressFilePaths(tokenList) {
// Helper function to generate all combinations of two arrays
function combine(arr1, arr2) {
const result = [];
for (const str1 of arr1) {
for (const str2 of arr2) {
result.push(str1 + str2);
}
}
return result;
}
// Stack to manage nested contexts
const stack = [[]];
let current = [''];
for (let i = 0; i < tokenList.length; i++) {
const char = tokenList[i];
if (char === '{') {
// Push current context to stack and start a new context
stack.push(current);
current = [''];
} else if (char === '}') {
// Pop from stack and combine with current context
const prev = stack.pop();
current = combine(prev, current);
} else if (char === ',') {
// Split current context
stack[stack.length - 1].push(...current);
current = [''];
} else {
// Append character to current context
for (let j = 0; j < current.length; j++) {
current[j] += char;
}
}
}
// Combine remaining context with stack
while (stack.length > 0) {
current = combine(stack.pop(), current);
}
return current;
}
// Example usage:
console.log(decompressFilePaths("resources/{js/{app.js,comp/{a.js,b.js},boot.js}},README.md"));
// Output: ["README.md", "resources/js/app.js", "resources/js/boot.js", "resources/js/comp/a.js", "resources/js/comp/b.js"]
console.log(decompressFilePaths("my_{first,second}_folder/{a,b}{.js,.py}"));
// Output: ["my_first_folder/a.js", "my_first_folder/a.py", "my_first_folder/b.js", "my_first_folder/b.py", "my_second_folder/a.js", "my_second_folder/a.py", "my_second_folder/b.js", "my_second_folder/b.py"]
The time complexity of this approach is O(n), where n is the length of the Token List. This is because we iterate through the Token List once and generate combinations iteratively. The space complexity is also O(n) due to the stack and the generated combinations.
Potential edge cases include:
Examples:
console.log(decompressFilePaths("")); // Output: [] console.log(decompressFilePaths("README.md")); // Output: ["README.md"] console.log(decompressFilePaths("a{b,c{d,e}}f")); // Output: ["abf", "acdf", "acef"]
To test the solution comprehensively, consider the following test cases:
Use a testing framework like Jest or Mocha to automate the testing process.
When approaching such problems, consider the following tips:
In this blog post, we discussed how to decompress a given Token List into its original list of paths. We covered the problem definition, approach, algorithm, code implementation, complexity analysis, edge cases, and testing. Understanding and solving such problems is crucial for efficient data processing and manipulation. Keep practicing and exploring further to improve your skills.