{ "data": { "question": { "questionId": "432", "questionFrontendId": "432", "boundTopicId": null, "title": "All O`one Data Structure", "titleSlug": "all-oone-data-structure", "content": "
Design a data structure to store the strings' count with the ability to return the strings with minimum and maximum counts.
\n\nImplement the AllOne
class:
AllOne()
Initializes the object of the data structure.inc(String key)
Increments the count of the string key
by 1
. If key
does not exist in the data structure, insert it with count 1
.dec(String key)
Decrements the count of the string key
by 1
. If the count of key
is 0
after the decrement, remove it from the data structure. It is guaranteed that key
exists in the data structure before the decrement.getMaxKey()
Returns one of the keys with the maximal count. If no element exists, return an empty string ""
.getMinKey()
Returns one of the keys with the minimum count. If no element exists, return an empty string ""
.\n
Example 1:
\n\n\nInput\n["AllOne", "inc", "inc", "getMaxKey", "getMinKey", "inc", "getMaxKey", "getMinKey"]\n[[], ["hello"], ["hello"], [], [], ["leet"], [], []]\nOutput\n[null, null, null, "hello", "hello", null, "hello", "leet"]\n\nExplanation\nAllOne allOne = new AllOne();\nallOne.inc("hello");\nallOne.inc("hello");\nallOne.getMaxKey(); // return "hello"\nallOne.getMinKey(); // return "hello"\nallOne.inc("leet");\nallOne.getMaxKey(); // return "hello"\nallOne.getMinKey(); // return "leet"\n\n\n
\n
Constraints:
\n\n1 <= key.length <= 10
key
consists of lowercase English letters.dec
, key
is existing in the data structure.5 * 104
calls will be made to inc
, dec
, getMaxKey
, and getMinKey
.Compiled with clang 11
using the latest C++ 17 standard.
Your code is compiled with level two optimization (-O2
). AddressSanitizer is also enabled to help detect out-of-bounds and use-after-free bugs.
Most standard library headers are already included automatically for your convenience.
\"], \"java\": [\"Java\", \" OpenJDK 17
. Java 8 features such as lambda expressions and stream API can be used.
Most standard library headers are already included automatically for your convenience.
\\r\\nIncludes Pair
class from https://docs.oracle.com/javase/8/javafx/api/javafx/util/Pair.html.
Python 2.7.12
.
Most libraries are already imported automatically for your convenience, such as array, bisect, collections. If you need more libraries, you can import it yourself.
\\r\\n\\r\\nFor Map/TreeMap data structure, you may use sortedcontainers library.
\\r\\n\\r\\nNote that Python 2.7 will not be maintained past 2020. For the latest Python, please choose Python3 instead.
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Your code is compiled with level one optimization (-O1
). AddressSanitizer is also enabled to help detect out-of-bounds and use-after-free bugs.
Most standard library headers are already included automatically for your convenience.
\\r\\n\\r\\nFor hash table operations, you may use uthash. \\\"uthash.h\\\" is included by default. Below are some examples:
\\r\\n\\r\\n1. Adding an item to a hash.\\r\\n
\\r\\nstruct hash_entry {\\r\\n int id; /* we'll use this field as the key */\\r\\n char name[10];\\r\\n UT_hash_handle hh; /* makes this structure hashable */\\r\\n};\\r\\n\\r\\nstruct hash_entry *users = NULL;\\r\\n\\r\\nvoid add_user(struct hash_entry *s) {\\r\\n HASH_ADD_INT(users, id, s);\\r\\n}\\r\\n\\r\\n\\r\\n\\r\\n
2. Looking up an item in a hash:\\r\\n
\\r\\nstruct hash_entry *find_user(int user_id) {\\r\\n struct hash_entry *s;\\r\\n HASH_FIND_INT(users, &user_id, s);\\r\\n return s;\\r\\n}\\r\\n\\r\\n\\r\\n\\r\\n
3. Deleting an item in a hash:\\r\\n
\\r\\nvoid delete_user(struct hash_entry *user) {\\r\\n HASH_DEL(users, user); \\r\\n}\\r\\n\\r\\n\"], \"csharp\": [\"C#\", \"\\r\\n\\r\\n
Your code is compiled with debug flag enabled (/debug
).
Node.js 16.13.2
.
Your code is run with --harmony
flag, enabling new ES6 features.
lodash.js library is included by default.
\\r\\n\\r\\nFor Priority Queue / Queue data structures, you may use datastructures-js/priority-queue and datastructures-js/queue.
\"], \"ruby\": [\"Ruby\", \"Ruby 3.1
Some common data structure implementations are provided in the Algorithms module: https://www.rubydoc.info/github/kanwei/algorithms/Algorithms
\"], \"swift\": [\"Swift\", \"Swift 5.5.2
.
Go 1.17.6
.
Support https://godoc.org/github.com/emirpasic/gods library.
\"], \"python3\": [\"Python3\", \"Python 3.10
.
Most libraries are already imported automatically for your convenience, such as array, bisect, collections. If you need more libraries, you can import it yourself.
\\r\\n\\r\\nFor Map/TreeMap data structure, you may use sortedcontainers library.
\"], \"scala\": [\"Scala\", \"Scala 2.13.7
.
Kotlin 1.3.10
.
Rust 1.58.1
Supports rand v0.6\\u00a0from crates.io
\"], \"php\": [\"PHP\", \"PHP 8.1
.
With bcmath module
\"], \"typescript\": [\"Typescript\", \"TypeScript 4.5.4, Node.js 16.13.2
.
Your code is run with --harmony
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lodash.js library is included by default.
\"], \"racket\": [\"Racket\", \"Run with Racket 8.3
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