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TL;DR: The optimal solution uses a length-prefixing protocol (Length-Value encoding) to serialize strings, ensuring that special characters inside the strings do not disrupt the decoding process.
The "Encode and Decode Strings" problem asks us to design an algorithm to convert a list of strings into a single string and then reverse the process to retrieve the original list. The challenge lies in the fact that the strings can contain any valid ASCII character, including delimiters or special symbols that might typically be used to separate data. We cannot rely on built-in serialization libraries; we must implement the logic manually. This is a popular interview question for companies like Microsoft because it tests fundamental understanding of data serialization and protocol design.
A common naive approach is to join the strings using a specific delimiter character, such as a comma , or a hash #.
Naive Pseudo-code:
textreturn join(strs, "#") function decode(s): return split(s, "#")
Time Complexity: , where is the total number of characters.
Why it fails: This approach fails correctness tests immediately. If the input strings themselves contain the chosen delimiter (e.g., the input is ["hello", "wor#ld"]), the split operation during decoding will interpret the # inside "wor#ld" as a separator, resulting in an incorrect list: ["hello", "wor", "ld"].
Attempts to fix this by "escaping" the delimiter (e.g., replacing # with ##) add significant complexity to the implementation and increase the processing time and space overhead, making them suboptimal for an interview setting.
The fundamental difficulty in LeetCode 271 is distinguishing between "control characters" (delimiters) and "data characters" (content). Since the content can contain any character, no single character can serve as a safe global delimiter.
The solution is to separate metadata (the length of the string) from the data itself. By storing the length of the string before the string content, we know exactly how many characters to read during decoding.
This approach is known as Length-Prefixing or TLV (Type-Length-Value) encoding (though here we only need Length and Value).
Invariant:
For every string s in the list, we append length(s) followed by a separator (like #) and then the string s itself.
Structure: [Length] + [Separator] + [String Content]
Even if the string content contains the separator #, the decoding logic will not be confused because it relies on the numerical Length prefix to determine exactly where the current string ends. The separator exists solely to distinguish the Length digits from the start of the String Content.
Visual Description: Imagine the encoded string as a stream of bytes. The decoder acts as a parser. It reads numeric characters until it hits a delimiter. This number tells the parser, "The next characters belong to the current string." The parser then jumps over those characters, treats them strictly as data (ignoring any symbols inside), and then expects the next segment to begin with a new length number.

Consider the input: ["Leet", "Code#1"]
Encoding Process:
4 + # + Leet"4#Leet"6 + # + Code#1"4#Leet6#Code#1"Decoding Process:
i = 0, Encoded String: "4#Leet6#Code#1"# starting from i=0. Found at index 1.0 to 1 is "4". Length = 4.1 + 1)."Leet".i: 2 + 4 = 6.["Leet"]# starting from i=6. Found at index 7.6 to 7 is "6". Length = 6.7 + 1)."Code#1". (Note: The internal # is treated as data).i: 8 + 6 = 14.["Leet", "Code#1"]i equals string length. Return list.The correctness relies on the invariant that the integer prefix accurately reflects the byte count of the subsequent data.
length + delimiter creates a unique header for every packet of data.length characters, we are guaranteed to stop exactly at the end of the current string. The next character processed will necessarily be the start of the next length prefix (or the end of the input).cpp#include <vector> #include <string> using namespace std; class Codec { public: // Encodes a list of strings to a single string. string encode(vector<string>& strs) { string encodedString = ""; for (const string& s : strs) { // Pattern: Length + Delimiter + Content encodedString += to_string(s.length()) + "#" + s; } return encodedString; } // Decodes a single string to a list of strings. vector<string> decode(string s) { vector<string> decodedStrings; int i = 0; while (i < s.length()) { // Find the position of the next delimiter size_t delimiterPos = s.find('#', i); // Extract the length of the next string int length = stoi(s.substr(i, delimiterPos - i)); // Move pointer to the start of the content i = delimiterPos + 1; // Extract the string content decodedStrings.push_back(s.substr(i, length)); // Move pointer past the current string i += length; } return decodedStrings; } };
javaimport java.util.ArrayList; import java.util.List; public class Codec { // Encodes a list of strings to a single string. public String encode(List<String> strs) { StringBuilder encodedString = new StringBuilder(); for (String s : strs) { // Append length, delimiter, then the string itself encodedString.append(s.length()).append("#").append(s); } return encodedString.toString(); } // Decodes a single string to a list of strings. public List<String> decode(String s) { List<String> decodedStrings = new ArrayList<>(); int i = 0; while (i < s.length()) { // Find the delimiter index starting from current position i int delimiterPos = s.indexOf('#', i); // Parse the length from the substring before the delimiter int length = Integer.parseInt(s.substring(i, delimiterPos)); // The content starts immediately after the delimiter i = delimiterPos + 1; // Extract the content using the parsed length decodedStrings.add(s.substring(i, i + length)); // Advance the pointer past the content i += length; } return decodedStrings; } }
pythonclass Codec: def encode(self, strs: list[str]) -> str: """Encodes a list of strings to a single string.""" encoded_string = "" for s in strs: # Pattern: Length + Delimiter + Content encoded_string += str(len(s)) + "#" + s return encoded_string def decode(self, s: str) -> list[str]: """Decodes a single string to a list of strings.""" decoded_strings = [] i = 0 while i < len(s): # Find the delimiter starting from index i j = s.find("#", i) # The length is the number before the delimiter length = int(s[i:j]) # Move pointer to the start of the content i = j + 1 # Extract the string content decoded_strings.append(s[i : i + length]) # Move pointer past the current string i += length return decoded_strings
Time Complexity:
Space Complexity: (Auxiliary)
The Design pattern used here—specifically defining a protocol or managing state boundaries—is applicable to several other problems:
Using a simple delimiter like , or # fails correctness, not usually time limits. If the input string contains the delimiter, the split function will break the string in the wrong place. If you try to fix this by iterating and escaping characters, you might hit a Time Limit Exceeded (TLE) or Memory Limit Exceeded (MLE) if the implementation is inefficient ( due to repeated string concatenations).
These problems all share the theme of Design, where the focus is on structure, constraints, and API correctness rather than pure algorithmic search or optimization.
While technically feasible, interviewers specifically forbid "built-in serialization methods." Using json.dumps or similar libraries defeats the purpose of the "Design" pattern exercise, which is to implement the low-level protocol logic yourself.
A common mistake is forgetting to handle empty strings. The length-prefix approach handles this naturally: an empty string is encoded as 0#. The decoder reads length 0, extracts an empty substring, and moves on correctly.
# between the length and the string?"Without the delimiter, we cannot distinguish where the length number ends and the string begins if the string starts with a digit. For example, if we encode length 12 and string "34" as "1234", the decoder doesn't know if the length is 1, 12, or 123. The delimiter makes the boundary of the length integer explicit.