class Solution:
def interpret(self, command: str) -> str:
result = []
i = 0
while i < len(command):
if command[i] == 'G':
result.append('G')
i += 1
elif command[i:i+2] == '()':
result.append('o')
i += 2
elif command[i:i+4] == '(al)':
result.append('al')
i += 4
return ''.join(result)
class Solution {
public:
string interpret(string command) {
string result;
for (size_t i = 0; i < command.length(); ) {
if (command[i] == 'G') {
result += 'G';
i++;
} else if (command.substr(i, 2) == "()") {
result += 'o';
i += 2;
} else if (command.substr(i, 4) == "(al)") {
result += "al";
i += 4;
}
}
return result;
}
};
class Solution {
public String interpret(String command) {
StringBuilder result = new StringBuilder();
int i = 0;
while (i < command.length()) {
if (command.charAt(i) == 'G') {
result.append('G');
i++;
} else if (i + 1 < command.length() && command.substring(i, i + 2).equals("()")) {
result.append('o');
i += 2;
} else if (i + 3 < command.length() && command.substring(i, i + 4).equals("(al)")) {
result.append("al");
i += 4;
}
}
return result.toString();
}
}
var interpret = function(command) {
let result = '';
for (let i = 0; i < command.length;) {
if (command[i] === 'G') {
result += 'G';
i++;
} else if (command.slice(i, i+2) === '()') {
result += 'o';
i += 2;
} else if (command.slice(i, i+4) === '(al)') {
result += 'al';
i += 4;
}
}
return result;
};
You are given a string called command
that represents a sequence of instructions for a simple "Goal Parser." The command
consists of the following patterns:
"G"
should be interpreted as the string "G"
."()"
should be interpreted as the string "o"
."(al)"
should be interpreted as the string "al"
.
The task is to return the parsed string after replacing all occurrences of the above patterns according to the rules. The input string command
is guaranteed to be valid and only contains the patterns described above, concatenated in any order.
When approaching this problem, the first idea might be to scan the string character by character and check for the presence of each pattern. Since there are only three possible patterns, we can compare substrings at each position to see if they match one of the patterns. This avoids the need for complicated parsing or regular expressions.
Initially, one might consider replacing all occurrences of "()"
with "o"
and "(al)"
with "al"
using built-in string replacement functions. However, since the patterns can overlap or appear in any order, a more careful scan is preferable for clarity and efficiency.
The key is to iterate through the string, look ahead as needed to identify which pattern is present, and build the result accordingly. This ensures that we interpret each part of the command exactly once and in the correct order.
To solve the problem efficiently, we can use a simple loop to iterate through the command
string:
command
string and use an index i
to track our position.i
is 'G'
, append 'G'
to the result and move i
forward by 1.i
is "()"
, append 'o'
to the result and move i
forward by 2.i
is "(al)"
, append 'al'
to the result and move i
forward by 4.This approach is both simple and efficient because it only requires a single pass through the string and uses constant additional space.
Let's consider the input command = "G()(al)"
.
command[0] = 'G'
. Append 'G'
to result. Move to index 1.command[1:3] = "()"
. Append 'o'
to result. Move to index 3.command[3:7] = "(al)"
. Append 'al'
to result. Move to index 7 (end of string).
The result after parsing is "Goal"
.
This process ensures each pattern is interpreted exactly once and in the correct order, producing the expected output.
Brute-force Approach: If we used repeated string replacements, each replacement would scan the string, potentially leading to higher time complexity, especially for long strings.
Optimized Approach (current):
O(n)
, where n
is the length of the input command
string. We process each character at most once.O(n)
, for storing the result string.In summary, the Goal Parser Interpretation problem can be solved efficiently by scanning the input string once and checking for the three possible patterns at each step. By carefully advancing the index according to the matched pattern, we ensure a single-pass solution that is both easy to understand and optimal in terms of time and space. The solution is elegant because it leverages the limited and non-overlapping nature of the patterns, making the implementation straightforward and efficient.