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"question": {
"questionId": "3025",
"questionFrontendId": "2835",
"categoryTitle": "Algorithms",
"boundTopicId": 2403635,
"title": "Minimum Operations to Form Subsequence With Target Sum",
"titleSlug": "minimum-operations-to-form-subsequence-with-target-sum",
"content": "<p>You are given a <strong>0-indexed</strong> array <code>nums</code> consisting of <strong>non-negative</strong> powers of <code>2</code>, and an integer <code>target</code>.</p>\n\n<p>In one operation, you must apply the following changes to the array:</p>\n\n<ul>\n\t<li>Choose any element of the array <code>nums[i]</code> such that <code>nums[i] &gt; 1</code>.</li>\n\t<li>Remove <code>nums[i]</code> from the array.</li>\n\t<li>Add <strong>two</strong> occurrences of <code>nums[i] / 2</code> to the <strong>end</strong> of <code>nums</code>.</li>\n</ul>\n\n<p>Return the <em><strong>minimum number of operations</strong> you need to perform so that </em><code>nums</code><em> contains a <strong>subsequence</strong> whose elements sum to</em> <code>target</code>. If it is impossible to obtain such a subsequence, return <code>-1</code>.</p>\n\n<p>A <strong>subsequence</strong> is an array that can be derived from another array by deleting some or no elements without changing the order of the remaining elements.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> nums = [1,2,8], target = 7\n<strong>Output:</strong> 1\n<strong>Explanation:</strong> In the first operation, we choose element nums[2]. The array becomes equal to nums = [1,2,4,4].\nAt this stage, nums contains the subsequence [1,2,4] which sums up to 7.\nIt can be shown that there is no shorter sequence of operations that results in a subsequnce that sums up to 7.\n</pre>\n\n<p><strong class=\"example\">Example 2:</strong></p>\n\n<pre>\n<strong>Input:</strong> nums = [1,32,1,2], target = 12\n<strong>Output:</strong> 2\n<strong>Explanation:</strong> In the first operation, we choose element nums[1]. The array becomes equal to nums = [1,1,2,16,16].\nIn the second operation, we choose element nums[3]. The array becomes equal to nums = [1,1,2,16,8,8]\nAt this stage, nums contains the subsequence [1,1,2,8] which sums up to 12.\nIt can be shown that there is no shorter sequence of operations that results in a subsequence that sums up to 12.</pre>\n\n<p><strong class=\"example\">Example 3:</strong></p>\n\n<pre>\n<strong>Input:</strong> nums = [1,32,1], target = 35\n<strong>Output:</strong> -1\n<strong>Explanation:</strong> It can be shown that no sequence of operations results in a subsequence that sums up to 35.\n</pre>\n\n<p>&nbsp;</p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>1 &lt;= nums.length &lt;= 1000</code></li>\n\t<li><code>1 &lt;= nums[i] &lt;= 2<sup>30</sup></code></li>\n\t<li><code>nums</code> consists only of non-negative powers of two.</li>\n\t<li><code>1 &lt;= target &lt; 2<sup>31</sup></code></li>\n</ul>\n",
"translatedTitle": "使子序列的和等于目标的最少操作次数",
"translatedContent": "<p>给你一个下标从 <strong>0</strong>&nbsp;开始的数组&nbsp;<code>nums</code>&nbsp;,它包含 <strong>非负</strong>&nbsp;整数,且全部为 <code>2</code>&nbsp;的幂,同时给你一个整数&nbsp;<code>target</code>&nbsp;。</p>\n\n<p>一次操作中,你必须对数组做以下修改:</p>\n\n<ul>\n\t<li>选择数组中一个元素&nbsp;<code>nums[i]</code>&nbsp;,满足&nbsp;<code>nums[i] &gt; 1</code>&nbsp;。</li>\n\t<li>将&nbsp;<code>nums[i]</code>&nbsp;从数组中删除。</li>\n\t<li>在 <code>nums</code>&nbsp;的 <strong>末尾</strong>&nbsp;添加 <strong>两个</strong>&nbsp;数,值都为&nbsp;<code>nums[i] / 2</code>&nbsp;。</li>\n</ul>\n\n<p>你的目标是让 <code>nums</code>&nbsp;的一个 <strong>子序列</strong>&nbsp;的元素和等于&nbsp;<code>target</code>&nbsp;,请你返回达成这一目标的 <strong>最少操作次数</strong>&nbsp;。如果无法得到这样的子序列,请你返回 <code>-1</code>&nbsp;。</p>\n\n<p>数组中一个 <strong>子序列</strong>&nbsp;是通过删除原数组中一些元素,并且不改变剩余元素顺序得到的剩余数组。</p>\n\n<p>&nbsp;</p>\n\n<p><strong class=\"example\">示例 1</strong></p>\n\n<pre>\n<b>输入:</b>nums = [1,2,8], target = 7\n<b>输出:</b>1\n<b>解释:</b>第一次操作中,我们选择元素 nums[2] 。数组变为 nums = [1,2,4,4] 。\n这时候nums 包含子序列 [1,2,4] ,和为 7 。\n无法通过更少的操作得到和为 7 的子序列。\n</pre>\n\n<p><strong class=\"example\">示例 2</strong></p>\n\n<pre>\n<b>输入:</b>nums = [1,32,1,2], target = 12\n<b>输出:</b>2\n<b>解释:</b>第一次操作中,我们选择元素 nums[1] 。数组变为 nums = [1,1,2,16,16] 。\n第二次操作中我们选择元素 nums[3] 。数组变为 nums = [1,1,2,16,8,8] 。\n这时候nums 包含子序列 [1,1,2,8] ,和为 12 。\n无法通过更少的操作得到和为 12 的子序列。</pre>\n\n<p><strong class=\"example\">示例 3</strong></p>\n\n<pre>\n<b>输入:</b>nums = [1,32,1], target = 35\n<b>输出:</b>-1\n<b>解释:</b>无法得到和为 35 的子序列。\n</pre>\n\n<p>&nbsp;</p>\n\n<p><strong>提示:</strong></p>\n\n<ul>\n\t<li><code>1 &lt;= nums.length &lt;= 1000</code></li>\n\t<li><code>1 &lt;= nums[i] &lt;= 2<sup>30</sup></code></li>\n\t<li><code>nums</code>&nbsp;只包含非负整数,且均为 2 的幂。</li>\n\t<li><code>1 &lt;= target &lt; 2<sup>31</sup></code></li>\n</ul>\n",
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"<div class=\"_1l1MA\">if <code>target > sum(nums[i]) </code>, return <code>-1</code>. Otherwise, an answer exists</div>",
"<div class=\"_1l1MA\">Solve the problem for each set bit of <code>target</code>, independently, from least significant to most significant bit. </div>",
"<div class=\"_1l1MA\">For each set <code>bit</code> of <code>target</code> from least to most significant, let <code>X = sum(nums[i])</code> for <code>nums[i] <= 2^bit</code>.</div>",
"<div class=\"_1l1MA\">\r\nif <code>X >= 2^bit</code>, repeatedly select the maximum <code>nums[i]</code> such that <code>nums[i]<=2^bit</code> that has not been selected yet, until the sum of selected elements equals <code>2^bit</code>. The selected <code>nums[i]</code> will be part of the subsequence whose elements sum to target, so those elements can not be selected again.\r\n</div>",
"<div class=\"_1l1MA\">Otherwise, select the smallest <code>nums[i]</code> such that <code>nums[i] > 2^bit</code>, delete <code>nums[i]</code> and add two occurences of <code>nums[i]/2</code>. Without moving to the next <code>bit</code>, go back to the step in hint 3.</div>"
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