1639. Number of Ways to Form a Target String Given a Dictionary
SourceBiweekly Contest 38 Q4DifficultyHardRating2081
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:
targetshould be formed from left to right.- To form the
ithcharacter (0-indexed) oftarget, you can choose thekthcharacter of thejthstring inwordsiftarget[i] = words[j][k]. - Once you use the
kthcharacter of thejthstring ofwords, you can no longer use thexthcharacter of any string inwordswherex <= k. In other words, all characters to the left of or at indexkbecome 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 <= 10001 <= words[i].length <= 1000- All strings in
wordshave the same length. 1 <= target.length <= 1000words[i]andtargetcontain only lowercase English letters.
Solutions
Solution 1: Preprocessing + Memory Search
Thinking
Words share one length, letters in the same column are interchangeable, and columns must be taken left to right. Backtracking over words repeats work.
Count letter \(c\) in column \(j\) as \(\textit{cnt}[j][c]\). The state is “match \(\textit{target}[i:]\) starting at column \(j\)”.
Memoized \(dfs(i,j)\) either skips column \(j\) or uses it for \(\textit{target}[i]\) multiplied by the count. Finish \(i\) yields \(1\); run out of columns yields \(0\).
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
Thinking
The recursion in Solution 1 becomes an explicit table and drops the call stack. \(f[i][j]\) is ways to build the first \(i\) characters of \(\textit{target}\) from the first \(j\) columns.
Skip column \(j\) as \(f[i][j-1]\), or take it as \(f[i-1][j-1]\times \textit{cnt}[j-1][\textit{target}[i-1]]\), with \(f[0][\cdot]=1\).
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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