Write a function (your choice of language) that contains a heap overflow vulnerability, which is caused by an integer overflow vulnerability.
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Write a function (your choice of language) that contains a heap overflow vulnerability, which is caused by an integer overflow vulnerability.
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- The program inserts a number of values into a priority queue and then removes them. The priority queue treats a larger unsigned integer as a higher priority than a smaller value. The priority queue object keeps a count of the basic operations performed during its lifetime to date, and that count is available via an accessor. In one or two places I have put statements such as op_count++;, but these are incomplete. We only count operations involved in inserting and removing elements, not auxiliary operations such as is_empty() or size() The class implements a priority queue with an unsorted vector. Your assignment is to re-implement the priority queue implementation using a heap built on a vector, exactly as we discussed in class. Leave the framework and public method interfaces completely unchanged. My original test program must work with your new class. You will have to write new private methods bubble_up and percolate_down. You should not implement heapify or heapsort. #include…# write your implementation heredef maxProfitBrute(changes): """ it returns the indices of (i,j) indicating the day to buy and sell respectively to have the maximum profit in a list of prices per day in <changes>. Inputs: - changes: the list holding the changes in prices; the value whose index is k represents the change between day <k> and day <k+1> <changes> has at least a single change [two days] Output: - i: the index of the change before which we buy - j: the index of the change after which we sell - maxProfit: the value of the maximum profit Example: changes = [1,2] - that means the price started with <x>; - day 1: it became <x+1> - day 2: it became <x+3> In that case: (i,j) = (0,1) as we should buy at the first day, and sell after the third day """ # return the values return (0,0,0)please code in pythonBuild the pipeline that uses a Principal Component Analysis (PCA) model to extract 2 principal components of the training set and create a a KMeans model (same as the model in 3A). Fill in the myPCAKMeans function, which accepts as input the training set and returns a fully trained model. Below is the template def myPCAKMeans(Xtrain, ytrain): #write function here return myPCAKMeansModel You can use any sample data
- Using Python threads and the module hashlib, write an MD5 Cracker. Your script must read the file hash.txt (this file contains a single hash that needs to be cracked) and the file wordlist.txt (this file contains a list of possible words that could be the hash) to try and break the hash. “ Hashing is the process of converting a given key into another value. A hash function is used to generate the new value according to a mathematical algorithm. The result of a hash function is known as a hash value or simply, a hash.” Example of an MD5Hash is → ‘cc03e747a6afbbcbf8be7668acfebee5’ which is the word ‘test123’ To generate the MD5 hash of a string, you can use the following code: # Import module import hashlib # The string STRING = ‘test123’ # Generate Hashhash = hashlib.md5(STRING.encode()).hexdigest() # Print hashprint (hash) #This will output cc03e747a6afbbcbf8be7668acfebee5Implement a class representing a circular sorted linked list. The class must have the following requirements: The linked list and the nodes must be implemented as C++ templates First must point to the largest value in the list It must include a constructor, a destructor, a copy constructor and an operator= It must include functions to insert a given item, delete a given item, search for a given item, check if the list is empty, return the length of the list and print the list (from smallest to largest) Hint: Use the menu-driven program of the linked list to test all the functions in your class. Screenshot the output and make comments on each area on the program.Create a TST client with a static method that computes the L-similarity of two documents by taking two file names and an int value L as command-line arguments. The L-similarity is the Euclidean distance between the frequency vectors, which is determined by the number of instances of each trigram divided by the total number of trigrams. Include a static function main() that outputs a matrix displaying the L-similarity of all pairs of documents and accepts an int value L as a command-line parameter along with a list of file names from standard input.
- Let float javaSqrt(int x) be a Java implementation of this square root function (assume it throws an exception if x is negative). Discuss the differ ences between sqrt and javaSqrt when considered as mathematical functions between sets.Write a program for Stack (Array-based or linked list-based) in Python. Test the scenario below with the implementation and with the reasoning of the answer. Make comments with a short description of what is implemented. Include source codes and screen-captured outputs. Stack: A letter means doing a push operation and an asterisk means doing a pop operation in the below sequence. Give the sequence of letters that are returned by the pop operations when this sequence of operations is performed on an initially empty stack. A*BCE**F*GH***I*2.2.14 Sorted queues being combined. Create a static function that receives two queues of sorted items as inputs and returns a queue formed by combining the two queues into a single sorted order queue. 2.2.15 Bottom-up mergesort of a queue. Create an implementation of the bottom-up mergesort using the following strategy: Make N queues, each holding one of the N things, given N items. assemble the N queues into a queue. Apply Exercise 2.2.14's merging process to the first two queues several times, and at the conclusion, reinsert the combined queue.Continue until there is just one queue left in the queue of queues.
- Create a newconcrete class that implements MyMap using open addressing with quadratic probing.For simplicity, use f(key) = key % size as the hash function, where sizeis the hash-table size. Initially, the hash-table size is 6. The table size is doubledwhenever the load factor exceeds the threshold (0.5).Design a more efficient version of HeapVector that keeps its values in order only when necessary: When values are added, they are appended to the end of the existing heap and a nonHeap flag is set to true. When values are removed, the nonHeap flag is checked and the Vector is heapified if necessary. What are the worst-case and best-case running times of the add and remove operations?A) Write a generic Java queue class (a plain queue, not a priority queue). Then, call it GenericQueue, because the JDK already has an interface called Queue. This class must be able to create a queue of objects of any reference type. Consider the GenericStack class shown below for some hints. Like the Stack class below, the GenericQueue should use an underlying ArrayList<E>. Write these methods and any others you find useful: enqueue() adds an E to the queue peek() returns a reference to the object that has been in the queue the longest, without removing it from the queue dequeue() returns the E that has been in the queue the longest, and removes it from the queue contains(T t) returns true if the queue contains at least one object that is equal to t *in the sense that calling .equals() on the object with t the parameter returns true.* Otherwise contains returns false. size() and isEmpty() are obvious.