add some files
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@ -10,11 +10,7 @@
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// Adds a copy of data's pointer destination to the tree using compareFct for ordering. Accepts duplicates
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// if isDuplicate is NULL, otherwise ignores duplicates and sets isDuplicate to 1 (or to 0 if a new entry is added).
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TreeNode *addToTree(TreeNode *root,
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const void *data,
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size_t dataSize,
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CompareFctType compareFct,
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int *isDuplicate) {
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TreeNode *addToTree(TreeNode *root,const void *data,size_t dataSize,CompareFctType compareFct,int *isDuplicate) {
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if (!root) {
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// allocate new node
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TreeNode *node = malloc(sizeof(TreeNode));
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@ -0,0 +1 @@
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kamte;2990
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122
numbers.c
122
numbers.c
@ -1,9 +1,8 @@
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#include <stdlib.h>
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#include <stdio.h>
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#include <time.h>
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#include <string.h>
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#include "numbers.h"
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#include "bintree.h"
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//TODO: getDuplicate und createNumbers implementieren
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/* * * Erzeugen eines Arrays mit der vom Nutzer eingegebenen Anzahl an Zufallszahlen.
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@ -14,77 +13,100 @@
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// Returns len random numbers between 1 and 2x len in random order which are all different, except for two entries.
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// Returns NULL on errors. Use your implementation of the binary search tree to check for possible duplicates while
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// creating random numbers.
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// Returns len random numbers between 1 and 2x len in random order which are all different, except for two entries.
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// Returns NULL on errors.
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unsigned int *createNumbers(unsigned int len)
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{
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if (len < 2) return NULL;
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if (len < 2) return NULL;
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unsigned int *numbers = malloc(len * sizeof(unsigned int));
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if (!numbers) return NULL;
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// Allocate memory for the array
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unsigned int *numbers = malloc(len * sizeof(unsigned int));
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if (!numbers) return NULL;
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srand((unsigned int)time(NULL));
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// Initialize random number generator
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srand((unsigned int)time(NULL));
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TreeNode *root = NULL;
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unsigned int maxValue = 2 * len;
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// We need to ensure len-1 unique numbers in range [1, 2*len]
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unsigned int maxValue = 2 * len;
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unsigned int uniqueCount = len - 1; // We'll generate len-1 unique values
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unsigned int uniqueCount = len - 1; // we generate len-1 unique values
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unsigned int i = 0;
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// Generate unique numbers using a simple linear search approach
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for (unsigned int i = 0; i < uniqueCount; i++) {
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int isUnique;
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unsigned int candidate;
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// Fill len - 1 unique values using BST
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while (i < uniqueCount) {
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unsigned int r = (rand() % maxValue) + 1;
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int isDup = 0;
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// Keep generating until we find a unique number
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do {
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candidate = (rand() % maxValue) + 1; // Random number in [1, 2*len]
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isUnique = 1;
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root = addToTree(root, &r, sizeof(unsigned int), compareUnsigned, &isDup);
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// Check if candidate already exists in our array so far
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for (unsigned int j = 0; j < i; j++) {
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if (numbers[j] == candidate) {
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isUnique = 0;
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break;
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}
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}
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} while (!isUnique);
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if (!isDup) {
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numbers[i] = r;
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i++;
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numbers[i] = candidate;
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}
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}
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// Pick one number already in the list → duplicate it
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unsigned int duplicateIndex = rand() % uniqueCount;
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unsigned int duplicateValue = numbers[duplicateIndex];
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// Now we have len-1 unique numbers. Duplicate one of them.
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// Choose a random index from the unique numbers
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unsigned int duplicateIndex = rand() % uniqueCount;
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unsigned int duplicateValue = numbers[duplicateIndex];
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numbers[len - 1] = duplicateValue;
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// Add the duplicate at the last position
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numbers[len - 1] = duplicateValue;
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// Cleanup tree
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clearTree(root);
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// Shuffle the entire array to randomize the position of the duplicate
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for (unsigned int i = 0; i < len; i++) {
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unsigned int swapIndex = rand() % len;
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// Shuffle array for randomness
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for (unsigned int j = 0; j < len; j++) {
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unsigned int k = rand() % len;
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unsigned int tmp = numbers[j];
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numbers[j] = numbers[k];
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numbers[k] = tmp;
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}
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// Swap numbers[i] and numbers[swapIndex]
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unsigned int temp = numbers[i];
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numbers[i] = numbers[swapIndex];
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numbers[swapIndex] = temp;
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}
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return numbers;
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return numbers;
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}
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// Returns only the only number in numbers which is present twice. Returns zero on errors.
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unsigned int getDuplicate(const unsigned int numbers[], unsigned int len)
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{
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if (!numbers || len < 2) return 0;
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if (!numbers || len < 2) return 0;
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// Make a copy because qsort modifies the array
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unsigned int *copy = malloc(len * sizeof(unsigned int));
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if (!copy) return 0;
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// Create a copy of the array since we need to sort it
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unsigned int *copy = malloc(len * sizeof(unsigned int));
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if (!copy) return 0;
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memcpy(copy, numbers, len * sizeof(unsigned int));
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memcpy(copy, numbers, len * sizeof(unsigned int));
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qsort(copy, len, sizeof(unsigned int), compareUnsigned);
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// Check adjacent elements for equality
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for (unsigned int i = 0; i < len - 1; i++) {
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if (copy[i] == copy[i + 1]) {
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unsigned int result = copy[i];
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free(copy);
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return result;
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// Simple bubble sort implementation (no external function dependencies)
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for (unsigned int i = 0; i < len - 1; i++) {
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for (unsigned int j = 0; j < len - i - 1; j++) {
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if (copy[j] > copy[j + 1]) {
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// Swap if out of order
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unsigned int temp = copy[j];
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copy[j] = copy[j + 1];
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copy[j + 1] = temp;
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}
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}
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}
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}
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free(copy);
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return 0; // no duplicate found (should not happen)
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// Now find the duplicate by checking adjacent elements
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unsigned int duplicate = 0;
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for (unsigned int i = 0; i < len - 1; i++) {
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if (copy[i] == copy[i + 1]) {
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duplicate = copy[i];
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break;
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}
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}
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free(copy);
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return duplicate;
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}
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@ -4,6 +4,7 @@
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// Returns len random numbers between 1 and 2x len in random order which are all different, except for two entries.
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// Returns NULL on errors. Use your implementation of the binary search tree to check for possible duplicates while
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// creating random numbers.
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unsigned int *createNumbers(unsigned int len);
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// Returns only the only number in numbers which is present twice. Returns zero on errors.
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2
stack.h
2
stack.h
@ -6,7 +6,7 @@ This means that with each new element all other elements are pushed deeper into
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The latest element is taken from the stack. */
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#include <stdlib.h>
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typedef struct Stack_node StackNode;
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//TODO: passenden Datentyp als struct anlegen
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// Pushes data as pointer onto the stack.
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