5/2/2023 0 Comments Cmake doxygenThe second command will push to origin (your personal), which will allow it to track the new changes from release. Generally, these two flags shouldn’t be used, but are included for ease of merging assignments into your repo. The -no-edit flag automatically generates a commit message for you, and the -no-rebase flag will merge the upstream branch into the current branch. The first git command will fetch and merge changes from the main branch on your remote repository named release into your personal. Git pull -no-edit -no-rebase release main -allow-unrelated-histories You can merge the assignments as they are released into your personal repo with You will need to have set up your git directory to have our release as a remote repo as described in our git set up Checking Out the CodeĪll assignments will be distributed via our release repo on github this semester. To learn more about the practical importance of heaps, CS 374 and CS 473 delves into the applications of them in algorithmic contexts. This same data structure is what helps power your navigation systems when you are trying to get from one place to another. Its performance in prioritization helps us implement path-finding algorithms efficiently. Heap is an incredibly important data structure for prioritization functionality. Your heapifyUp() and heapifyDown() functions will ensure the heap property of your heap, by swapping elements recursively up or down the tree to maintain the heap property. This is not a recursive function- it simply utilizes the higherPriority functor and returns whichever child out of the two is less than or greater than the other, depending on what the priority for this heap is. Your maxPriorit圜hild() function will return the min child (out of an element’s left and right children) in a min heap and the max child in a max heap. A max heap is the opposite- each element is larger than both of its children. In a min heap, this means that each element is smaller than both of its children. Remember that the big idea about a heap is that it must keep its heap property. You will need to determine the indices to store these children in leftChild() and rightChild(), and the indices of each element’s parent in parent(). The root’s left children will be at positions 3 and 4, and the root’s right children will be at positions 5 and 6, and so on and so forth. For example, if your root is at index 0, its left child will be at index 1 and its right will be at index 2. The left and right children of the root will be at the positions immediately after the root. Your array can be 0-index or 1-indexed, where 0 and 1 are the indices of the root, depending on which one you choose. The version of heap you will implement will have a tree implemented in an array. In this lab you will write some heap functions to implement a min heap from scratch.
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