{ "data": { "question": { "questionId": "1938", "questionFrontendId": "1827", "boundTopicId": null, "title": "Minimum Operations to Make the Array Increasing", "titleSlug": "minimum-operations-to-make-the-array-increasing", "content": "
You are given an integer array nums (0-indexed). In one operation, you can choose an element of the array and increment it by 1.
nums = [1,2,3], you can choose to increment nums[1] to make nums = [1,3,3].Return the minimum number of operations needed to make nums strictly increasing.
An array nums is strictly increasing if nums[i] < nums[i+1] for all 0 <= i < nums.length - 1. An array of length 1 is trivially strictly increasing.
\r\n
Example 1:
\r\n\r\n\r\nInput: nums = [1,1,1]\r\nOutput: 3\r\nExplanation: You can do the following operations:\r\n1) Increment nums[2], so nums becomes [1,1,2].\r\n2) Increment nums[1], so nums becomes [1,2,2].\r\n3) Increment nums[2], so nums becomes [1,2,3].\r\n\r\n\r\n
Example 2:
\r\n\r\n\r\nInput: nums = [1,5,2,4,1]\r\nOutput: 14\r\n\r\n\r\n
Example 3:
\r\n\r\n\r\nInput: nums = [8]\r\nOutput: 0\r\n\r\n\r\n
\r\n
Constraints:
\r\n\r\n1 <= nums.length <= 50001 <= nums[i] <= 104Compiled 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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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
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\\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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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 5.3.0 version of datastructures-js/priority-queue and 4.2.1 version of datastructures-js/queue.
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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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Go 1.21
Support https://godoc.org/github.com/emirpasic/gods@v1.18.1 library.
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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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With bcmath module
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Your code is run with --harmony flag, enabling new ES2022 features.
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