
Problem Statement
In this challenge, we are given a string s
that represents a number-encoded message where each character ranges from '1' to '9' or can be a wildcard character '*'. This wildcard represents any number between '1' and '9'. Each character or combination of two characters in the string can potentially correspond to a letter in the alphabet according 'A' to 'Z' with 'A' mapped to '1' and 'Z' mapped to '26'. For example, the string "12" could correspond to 'AB' (1,2) or 'L' (12).
The task is to determine the total number of ways the string s
can be decoded considering all possible interpretations of the wildcard character. Valid encodings are those that map to letters without leading zeroes, and it's crucial to consider that combinations like single and grouped digits can yield different respective characters.
Given that the computed number could be large, we must return the result modulo 10^9 + 7
.
Examples
Example 1
Input:
s = "*"
Output:
9
Explanation:
The encoded message can represent any of the encoded messages "1", "2", "3", "4", "5", "6", "7", "8", or "9". Each of these can be decoded to the strings "A", "B", "C", "D", "E", "F", "G", "H", and "I" respectively. Hence, there are a total of 9 ways to decode "*".
Example 2
Input:
s = "1*"
Output:
18
Explanation:
The encoded message can represent any of the encoded messages "11", "12", "13", "14", "15", "16", "17", "18", or "19". Each of these encoded messages have 2 ways to be decoded (e.g. "11" can be decoded to "AA" or "K"). Hence, there are a total of 9 * 2 = 18 ways to decode "1*".
Example 3
Input:
s = "2*"
Output:
15
Explanation:
The encoded message can represent any of the encoded messages "21", "22", "23", "24", "25", "26", "27", "28", or "29". "21", "22", "23", "24", "25", and "26" have 2 ways of being decoded, but "27", "28", and "29" only have 1 way. Hence, there are a total of (6 * 2) + (3 * 1) = 12 + 3 = 15 ways to decode "2*".
Constraints
1 <= s.length <= 105
s[i]
is a digit or'*'
.
Approach and Intuition
The problem revolves around understanding and applying dynamic programming on strings, mixed with combinatorial logic given the wildcard capability. Here's a breakdown of the thought process:
Basic Mapping Understanding: Firstly, grasp how digits and combinations lead to character mappings based on the rules provided ('1' to 'Z' -> '26').
Handling of Wildcards:
- A single '*' can represent any digit from '1' to '9', influencing individual character counts.
- Pairings like '1*' indicate two character positions that can enhance possible encodings.
1*
could represent '11' to '19', translating to either one or two alphabet letters depending upon grouping.
Dynamic Programming Setup:
- Create a DP array where
dp[i]
represents the number of ways to decode the substring ofs
up to indexi
. - Initialize with
dp[0] = 1
(an empty string has one way of decoding - doing nothing).
- Create a DP array where
Filling DP Table:
- For each index, consider if the character is a digit, a '', or a part of a pair including ''.
- Update your
dp
values based on single digit interpretations and possible dual character pairings both involving numbers and wildcards.
Calculating Combinations:
- Utilize combinatorial counts for wildcard expansions (for instance, '1*' contributing to multiple dual-character possibilities).
- Sum up valid combinations by involving previous substrings' decoding counts.
Modulo Operation: Every update to
dp[i]
should be taken modulo10^9 + 7
to handle large numbers and prevent integer overflows.
By following these steps in a careful and structured manner, it becomes feasible to navigate through potentially massive combinatorial spaces efficiently, using dynamic programming's overlapping subproblems and optimal substructure properties. Each step builds on prior results, ensuring that all potential decodings are considered up to any index i
in string s
.
Solutions
- Java
public class Solution {
int MOD = 1000000007;
public int decodeWays(String str) {
long prev = 1, curr = str.charAt(0) == '*' ? 9 : str.charAt(0) == '0' ? 0 : 1;
for (int i = 1; i < str.length(); i++) {
long temp = curr;
if (str.charAt(i) == '*') {
curr = 9 * curr % MOD;
if (str.charAt(i - 1) == '1')
curr = (curr + 9 * prev) % MOD;
else if (str.charAt(i - 1) == '2')
curr = (curr + 6 * prev) % MOD;
else if (str.charAt(i - 1) == '*')
curr = (curr + 15 * prev) % MOD;
} else {
curr = str.charAt(i) != '0' ? curr : 0;
if (str.charAt(i - 1) == '1')
curr = (curr + prev) % MOD;
else if (str.charAt(i - 1) == '2' && str.charAt(i) <= '6')
curr = (curr + prev) % MOD;
else if (str.charAt(i - 1) == '*')
curr = (curr + (str.charAt(i) <= '6' ? 2 : 1) * prev) % MOD;
}
prev = temp;
}
return (int) curr;
}
}
The provided Java code is a solution for the "Decode Ways II" problem, which aims to count the number of ways to decode a given string where each alphabetic character is represented by a numerical value ('A' to 'I' is represented by '1' to '9' and so on). The problem also includes wildcard characters represented by '*', which can be any digit from 1 to 9.
Here's a breakdown of how the solution works:
Initialization: Define
MOD
as1000000007
to handle large outputs and prevent overflow. Start withprev
set to 1 (for the initial state before iteration) andcurr
, which depends on the first character of the string (curr
is set to 9 if it is '*', or 1 if it's any digit between 1 and 9, or 0 if it is '0').Iteration through the String:
- For each character, compute the number of ways to decode using dynamic programming. Store the previous computation's result in
temp
which is used to updateprev
. - If the current character is '*', multiple scenarios are checked:
- If preceding character is '1', the possible encoded values are 11-19, so 9 ways combined with the previous result.
- If it's '2', the possible encoded values are 21-26, so 6 ways combined with the previous result.
- If it's '*', the possible encoded pairs can be from 11-19 and 21-26, totaling 15 possible ways.
- If the current character is a digit:
- If non-zero, the current possible decoding count remains as it was.
- If it's preceded by '1', every digit 1-9 after it would be valid, thus we just add the count of previous computation.
- If it's preceded by '2', and current digit is 0-6, accepted pairs would be 20-26.
- For '*', calculations adjust based on whether the current digit is 1-6 or 7-9.
- For each character, compute the number of ways to decode using dynamic programming. Store the previous computation's result in
Result: After traversing the entire string, the current computation
curr
holds the total number of ways to decode the string moduloMOD
.
By the end of the function, the result curr
is cast to an integer and returned. This solution ensures all combinations and conditions provided by the problem are addressed, considering both individual digits and sequences influenced by the wildcard '*'.
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