![\"\"](\"https://assets.leetcode.com/uploads/2020/08/15/chips_e1.jpg\")
We have n chips, where the position of the ith chip is position[i].
We need to move all the chips to the same position. In one step, we can change the position of the ith chip from position[i] to:
position[i] + 2 or position[i] - 2 with cost = 0.position[i] + 1 or position[i] - 1 with cost = 1.Return the minimum cost needed to move all the chips to the same position.
\n\n\n
Example 1:
\n\n\nInput: position = [1,2,3]\nOutput: 1\nExplanation: First step: Move the chip at position 3 to position 1 with cost = 0.\nSecond step: Move the chip at position 2 to position 1 with cost = 1.\nTotal cost is 1.\n\n\n
Example 2:
\n![\"\"](\"https://assets.leetcode.com/uploads/2020/08/15/chip_e2.jpg\")
\n\nInput: position = [2,2,2,3,3]\nOutput: 2\nExplanation: We can move the two chips at position 3 to position 2. Each move has cost = 1. The total cost = 2.\n\n\n
Example 3:
\n\n\nInput: position = [1,1000000000]\nOutput: 1\n\n\n
\n
Constraints:
\n\n1 <= position.length <= 1001 <= position[i] <= 10^9有 n 个筹码。第 i 个筹码的位置是 position[i] 。
我们需要把所有筹码移到同一个位置。在一步中，我们可以将第 i 个筹码的位置从 position[i] 改变为:
position[i] + 2 或 position[i] - 2 ，此时 cost = 0position[i] + 1 或 position[i] - 1 ，此时 cost = 1返回将所有筹码移动到同一位置上所需要的 最小代价 。
\n\n\n\n
示例 1：
\n\n
\n输入：position = [1,2,3]\n输出：1\n解释：第一步:将位置3的筹码移动到位置1，成本为0。\n第二步:将位置2的筹码移动到位置1，成本= 1。\n总成本是1。\n\n\n
示例 2：
\n\n
\n输入：position = [2,2,2,3,3]\n输出：2\n解释：我们可以把位置3的两个筹码移到位置2。每一步的成本为1。总成本= 2。\n\n\n
示例 3:
\n\n\n输入：position = [1,1000000000]\n输出：1\n\n\n
\n\n
提示：
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collections<\\/a>\\u3002\\u5982\\u679c\\u60a8\\u9700\\u8981\\u4f7f\\u7528\\u5176\\u4ed6\\u5e93\\u51fd\\u6570\\uff0c\\u8bf7\\u81ea\\u884c\\u5bfc\\u5165\\u3002<\\/p>\\r\\n\\r\\n \\u6ce8\\u610f Python 2.7 \\u5c06\\u57282020\\u5e74\\u540e\\u4e0d\\u518d\\u7ef4\\u62a4<\\/a>\\u3002 \\u5982\\u60f3\\u4f7f\\u7528\\u6700\\u65b0\\u7248\\u7684Python\\uff0c\\u8bf7\\u9009\\u62e9Python 3\\u3002<\\/p>\"],\"c\":[\"C\",\" \\u7248\\u672c\\uff1a \\u7f16\\u8bd1\\u65f6\\uff0c\\u5c06\\u4f1a\\u91c7\\u7528 \\u4e3a\\u4e86\\u4f7f\\u7528\\u65b9\\u4fbf\\uff0c\\u5927\\u90e8\\u5206\\u6807\\u51c6\\u5e93\\u7684\\u5934\\u6587\\u4ef6\\u5df2\\u7ecf\\u88ab\\u81ea\\u52a8\\u5bfc\\u5165\\u3002<\\/p>\\r\\n\\r\\n \\u5982\\u60f3\\u4f7f\\u7528\\u54c8\\u5e0c\\u8868\\u8fd0\\u7b97, \\u60a8\\u53ef\\u4ee5\\u4f7f\\u7528 uthash<\\/a>\\u3002 \\\"uthash.h\\\"\\u5df2\\u7ecf\\u9ed8\\u8ba4\\u88ab\\u5bfc\\u5165\\u3002\\u8bf7\\u770b\\u5982\\u4e0b\\u793a\\u4f8b:<\\/p>\\r\\n\\r\\n 1. 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\\u6a21\\u5757\\u4e2d\\u63d0\\u4f9b\\uff1ahttps:\\/\\/www.rubydoc.info\\/github\\/kanwei\\/algorithms\\/Algorithms<\\/p>\"],\"swift\":[\"Swift\",\" \\u7248\\u672c\\uff1a \\u6211\\u4eec\\u901a\\u5e38\\u4fdd\\u8bc1\\u66f4\\u65b0\\u5230 Apple\\u653e\\u51fa\\u7684\\u6700\\u65b0\\u7248Swift<\\/a>\\u3002\\u5982\\u679c\\u60a8\\u53d1\\u73b0Swift\\u4e0d\\u662f\\u6700\\u65b0\\u7248\\u7684\\uff0c\\u8bf7\\u8054\\u7cfb\\u6211\\u4eec\\uff01\\u6211\\u4eec\\u5c06\\u5c3d\\u5feb\\u66f4\\u65b0\\u3002<\\/p>\"],\"golang\":[\"Go\",\" \\u7248\\u672c\\uff1a \\u652f\\u6301 https:\\/\\/godoc.org\\/github.com\\/emirpasic\\/gods@v1.18.1<\\/a> \\u7b2c\\u4e09\\u65b9\\u5e93\\u3002<\\/p>\"],\"python3\":[\"Python3\",\" \\u7248\\u672c\\uff1a \\u4e3a\\u4e86\\u65b9\\u4fbf\\u8d77\\u89c1\\uff0c\\u5927\\u90e8\\u5206\\u5e38\\u7528\\u5e93\\u5df2\\u7ecf\\u88ab\\u81ea\\u52a8 \\u5bfc\\u5165\\uff0c\\u5982array<\\/a>, bisect<\\/a>, collections<\\/a>\\u3002 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