You are given a 0-indexed array nums and a non-negative integer k.
In one operation, you can do the following:
\n\ni that hasn't been chosen before from the range [0, nums.length - 1].nums[i] with any integer from the range [nums[i] - k, nums[i] + k].The beauty of the array is the length of the longest subsequence consisting of equal elements.
\n\nReturn the maximum possible beauty of the array nums after applying the operation any number of times.
Note that you can apply the operation to each index only once.
\n\nA subsequence of an array is a new array generated from the original array by deleting some elements (possibly none) without changing the order of the remaining elements.
\n\n\n
Example 1:
\n\n\nInput: nums = [4,6,1,2], k = 2\nOutput: 3\nExplanation: In this example, we apply the following operations:\n- Choose index 1, replace it with 4 (from range [4,8]), nums = [4,4,1,2].\n- Choose index 3, replace it with 4 (from range [0,4]), nums = [4,4,1,4].\nAfter the applied operations, the beauty of the array nums is 3 (subsequence consisting of indices 0, 1, and 3).\nIt can be proven that 3 is the maximum possible length we can achieve.\n\n\n
Example 2:
\n\n\nInput: nums = [1,1,1,1], k = 10\nOutput: 4\nExplanation: In this example we don't have to apply any operations.\nThe beauty of the array nums is 4 (whole array).\n\n\n
\n
Constraints:
\n\n1 <= nums.length <= 1050 <= nums[i], k <= 105Compiled with clang 11 using the latest C++ 20 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.
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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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\\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\\n2. 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\\n3. Deleting an item in a hash:\\r\\n
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Some common data structure implementations are provided in the Algorithms module: https://www.rubydoc.info/github/kanwei/algorithms/Algorithms
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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.
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