1639. Number of Ways to Form a Target String Given a Dictionary
Description
You are given a list of strings of the same length words
and a string target
.
Your task is to form target
using the given words
under the following rules:
target
should be formed from left to right.- To form the
ith
character (0-indexed) oftarget
, you can choose thekth
character of thejth
string inwords
iftarget[i] = words[j][k]
. - Once you use the
kth
character of thejth
string ofwords
, you can no longer use thexth
character of any string inwords
wherex <= k
. In other words, all characters to the left of or at indexk
become unusuable for every string. - Repeat the process until you form the string
target
.
Notice that you can use multiple characters from the same string in words
provided the conditions above are met.
Return the number of ways to form target
from words
. Since the answer may be too large, return it modulo 109 + 7
.
Example 1:
Input: words = ["acca","bbbb","caca"], target = "aba" Output: 6 Explanation: There are 6 ways to form target. "aba" -> index 0 ("acca"), index 1 ("bbbb"), index 3 ("caca") "aba" -> index 0 ("acca"), index 2 ("bbbb"), index 3 ("caca") "aba" -> index 0 ("acca"), index 1 ("bbbb"), index 3 ("acca") "aba" -> index 0 ("acca"), index 2 ("bbbb"), index 3 ("acca") "aba" -> index 1 ("caca"), index 2 ("bbbb"), index 3 ("acca") "aba" -> index 1 ("caca"), index 2 ("bbbb"), index 3 ("caca")
Example 2:
Input: words = ["abba","baab"], target = "bab" Output: 4 Explanation: There are 4 ways to form target. "bab" -> index 0 ("baab"), index 1 ("baab"), index 2 ("abba") "bab" -> index 0 ("baab"), index 1 ("baab"), index 3 ("baab") "bab" -> index 0 ("baab"), index 2 ("baab"), index 3 ("baab") "bab" -> index 1 ("abba"), index 2 ("baab"), index 3 ("baab")
Constraints:
1 <= words.length <= 1000
1 <= words[i].length <= 1000
- All strings in
words
have the same length. 1 <= target.length <= 1000
words[i]
andtarget
contain only lowercase English letters.
Solutions
Solution 1: Preprocessing + Memory Search
We noticed that the length of each string in the string array \(words\) is the same, so let's remember \(n\), then we can preprocess a two-dimensional array \(cnt\), where \(cnt[j][c]\) represents the string array \(words\) The number of characters \(c\) in the \(j\)-th position of.
Next, we design a function \(dfs(i, j)\), which represents the number of schemes that construct \(target[i,..]\) and the currently selected character position from \(words\) is \(j\). Then the answer is \(dfs(0, 0)\).
The calculation logic of function \(dfs(i, j)\) is as follows:
- If \(i \geq m\), it means that all characters in \(target\) have been selected, then the number of schemes is \(1\).
- If \(j \geq n\), it means that all characters in \(words\) have been selected, then the number of schemes is \(0\).
- Otherwise, we can choose not to select the character in the \(j\)-th position of \(words\), then the number of schemes is \(dfs(i, j + 1)\); or we choose the character in the \(j\)-th position of \(words\), then the number of schemes is \(dfs(i + 1, j + 1) \times cnt[j][target[i] - 'a']\).
Finally, we return \(dfs(0, 0)\). Note that the answer is taken in modulo operation.
The time complexity is \(O(m \times n)\), and the space complexity is \(O(m \times n)\). Where \(m\) is the length of the string \(target\), and \(n\) is the length of each string in the string array \(words\).
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Solution 2: Preprocessing + Dynamic Programming
Similar to Solution 1, we can first preprocess a two-dimensional array \(cnt\), where \(cnt[j][c]\) represents the number of characters \(c\) in the \(j\)-th position of the string array \(words\).
Next, we define \(f[i][j]\) which represents the number of ways to construct the first \(i\) characters of \(target\), and currently select characters from the first \(j\) characters of each word in \(words\). Then the answer is \(f[m][n]\). Initially \(f[0][j] = 1\), where \(0 \leq j \leq n\).
Consider \(f[i][j]\), where \(i \gt 0\), \(j \gt 0\). We can choose not to select the character in the \(j\)-th position of \(words\), in which case the number of ways is \(f[i][j - 1]\); or we choose the character in the \(j\)-th position of \(words\), in which case the number of ways is \(f[i - 1][j - 1] \times cnt[j - 1][target[i - 1] - 'a']\). Finally, we add the number of ways in these two cases, which is the value of \(f[i][j]\).
Finally, we return \(f[m][n]\). Note the mod operation of the answer.
The time complexity is \(O(m \times n)\), and the space complexity is \(O(m \times n)\). Where \(m\) is the length of the string \(target\), and \(n\) is the length of each string in the string array \(words\).
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