320. Generalized Abbreviation π
Description
A word's generalized abbreviation can be constructed by taking any number of non-overlapping and non-adjacent substrings and replacing them with their respective lengths.
- For example,
"abcde"
can be abbreviated into:"a3e"
("bcd"
turned into"3"
)"1bcd1"
("a"
and"e"
both turned into"1"
)"5"
("abcde"
turned into"5"
)"abcde"
(no substrings replaced)
- However, these abbreviations are invalid:
"23"
("ab"
turned into"2"
and"cde"
turned into"3"
) is invalid as the substrings chosen are adjacent."22de"
("ab"
turned into"2"
and"bc"
turned into"2"
) is invalid as the substring chosen overlap.
Given a string word
, return a list of all the possible generalized abbreviations of word
. Return the answer in any order.
Example 1:
Input: word = "word" Output: ["4","3d","2r1","2rd","1o2","1o1d","1or1","1ord","w3","w2d","w1r1","w1rd","wo2","wo1d","wor1","word"]
Example 2:
Input: word = "a" Output: ["1","a"]
Constraints:
1 <= word.length <= 15
word
consists of only lowercase English letters.
Solutions
Solution 1: DFS
We design a function $dfs(i)$, which returns all possible abbreviations for the string $word[i:]$.
The execution logic of the function $dfs(i)$ is as follows:
If $i \geq n$, it means that the string $word$ has been processed, and we directly return a list composed of an empty string.
Otherwise, we can choose to keep $word[i]$, and then add $word[i]$ to the front of each string in the list returned by $dfs(i + 1)$, and add the obtained result to the answer.
We can also choose to delete $word[i]$ and some characters after it. Suppose we delete $word[i..j)$, then the $j$ th character is not deleted, and then add $j - i$ to the front of each string in the list returned by $dfs(j + 1)$, and add the obtained result to the answer.
Finally, we call $dfs(0)$ in the main function.
The time complexity is $O(n \times 2^n)$, and the space complexity is $O(n)$. Where $n$ is the length of the string $word$.
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Solution 2: Binary Enumeration
Since the length of the string $word$ does not exceed $15$, we can use the method of binary enumeration to enumerate all abbreviations. We use a binary number $i$ of length $n$ to represent an abbreviation, where $0$ represents keeping the corresponding character, and $1$ represents deleting the corresponding character. We enumerate all $i$ in the range of $[0, 2^n)$, convert it into the corresponding abbreviation, and add it to the answer list.
The time complexity is $O(n \times 2^n)$, and the space complexity is $O(n)$. Where $n$ is the length of the string $word$.
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