
The task is to rearrange a given array 'nums', which consists of 2n elements. These elements are initially grouped in two parts; the first n elements (x1, x2, ..., xn) and the second n elements (y1, y2, ..., yn). Our goal is to interleave these two parts to form a new array where each element from the two groups alternates starting with the first element of the first group. Specifically, the new order should be [x1, y1, x2, y2, ..., xn, yn]. This rearrangement should be done while maintaining the relative order of elements within each group.
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1 <= n <= 500nums.length == 2n1 <= nums[i] <= 10^3The problem is about interleaving two halves of an array. Here's a detailed step-by-step approach based on examples and constraints:
Understand the division of the array: It's given that the array can be broken down into two halves - the first half with elements x, and the second half with elements y.
Determine the length of each segment: Since the array itself is of length 2n, and it is equally split, both halves (x and y segments) will have n elements each.
Process for interleaving:
x2 followed by y2, and so on, until all elements are interleaved.Use of an auxiliary array: While it might be tempting to rearrange the array in-place, using an auxiliary array to store the results initially is simpler and avoids complex index management.
From the examples-
nums = [2,5,1,3,4,7], n = 3, understanding it as two parts: x-part = [2,5,1] and y-part = [3,4,7] can help in visualizing the method to interleave them as [2,3,5,4,1,7].This approach ensures that the relative order from each initial segment is preserved in the final output, adhering to the constraints provided. Input validations based on constraints ensure there are always exactly 2n elements and the value of n is within the specified range.
This C++ solution implements a function to shuffle an array where the array is divided into two halves. The function shuffleArray accepts a reference to a vector of integers data and an integer length which represents the length of a half of the array.
Here's a breakdown of the operation:
idx = length to idx < 2 * length.mask of low 10 bits to extract information in the later stage.idx = length - 1 downto idx >= 0.mask.After the loops, the original vector data is transformed into a shuffled array consisting of alternating elements from the two halves. This approach maintains an in-place operation, ensuring efficiency by minimizing the extra space used, crucial for handling large data efficiently.
In the Java solution for shuffling an array, the provided code operates by first merging elements, then separating and ordering them in a specific shuffled pattern. Here's a breakdown of how the solution works:
mixElements takes an array elements and an integer halfSize which should be half the length of the input array.idx, it shifts the element 10 bits to the left (high part) and then combines it with the lower part of the original array using bitwise OR.Math.pow(2, 10) - 1 to isolate the lower ten bits, ensuring that during bit manipulation only the lowest 10 bits are affected.elements array.This approach utilizes bit level operations to store temporary values within the same integers, minimizing additional space usage beyond the given array. The operations are efficient and carefully executed to shuffle all elements appropriately.
In the provided JavaScript solution, you'll learn how to shuffle an array using bitwise operations. Here’s how the function interleaveArrays works to combine and then separate array elements for shuffling:
Interleaving Process: For every element in the second half of the input array arr (starting from index count to 2*count), the element is shifted left by 10 bits and combined with its corresponding element in the first half. This preserves both halves in each element of the first half of the array.
Decoding Process: The encoded elements are decoded back to their original form using a predefined mask, (1 << 10) - 1, crafted to extract the lower 10 bits of any number. Each entry j from the modified first half is processed to separate the components:
This approach is particularly useful for manipulating large datasets within a limited space, showcasing a clever use of bitwise operations for encoding and decoding efficiently within a single array structure.
The task is to shuffle an array effectively by interleaving its elements. In Python, this is achieved through a method named interleave in the Solution class. The method requires an array and a parameter, half, which specifies the middle index of the array.
Ensure half is correctly computed as half the length of the array before calling this method. The provided implementation adjusts values directly in the input array, resulting in a space-efficient in-place solution with linear time complexity.
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