Pointer to array of pointers to structs in C++ - c++

I need some help, I'm learing data structers and I got a task to write a programm based on array of pointers to structres which can add elements and do other task with array.I have next model of levels:
first level --> net of shops
second level --> shop
third level --> goods
I've written types for this
typedef struct
{
QString date;
QString prod_code;
QString name;
}goods;
typedef struct
{
QString address;
QString number;
void **sublevel;
}shop;
typedef struct
{
QString website;
QString name;
QString owner;
QString address;
void **sublevel;
}net;
Then I've created global variable void **Start which points to array of pointers:
// init list
void ** init_list()
{
void** p = new void*[SIZE_AR];
p = p+2;
((int*)p)[COUNT_POS] = 0;
((int*)p)[SIZE_POS] = SIZE_AR;
return p;
}
void ** Start = init_list();
COUNT_POS - index of elements where I store count of currently used elemnets
SIZE_POS - size of array allocated in dynamic memory
SIZE_AR - default size for array
But I get segmentation fault when I try to add to element to the last level
(for previous two ones works fine):
// expand array if it overfilled
void ExpandArrPtr (void **&ar, int &SizeAr, int Cnt)
{
void **arW;
arW = new void*[SizeAr+DELTA+2];
for (int K = SizeAr-1; K >= 0; K--) {
arW[K+2] = ar[K];
}
SizeAr = SizeAr + DELTA;
ar=ar-2;
delete []ar;
ar=arW+2;
((int*)ar)[COUNT_POS] = Cnt;
((int*)ar)[SIZE_POS] = SizeAr;
}
// binary search
void bin_search(void **start, QString key, int &pos, bool &find, Cmpmethod func)
{
int mid;
int high, low;
find = false;
if((int*)start[COUNT_POS] == 0)
{
pos = 0;
qDebug()<<"zero elem\n";
return;
}
low = 0;
high = ((int*)start)[COUNT_POS] - 1;
do
{
mid = (high + low) / 2;
int result = func(start[mid], key);
if(result == 0)
{
pos = mid;
find = true;
return;
}
else if(result == 1)
{
high = mid - 1;
}
else
{
low = mid + 1;
}
}while(low <= high);
pos = low;
}
// function for adding in any level
void addtosort(void **&start, void *pnew, int pos)
{
int count = ((int*)start)[COUNT_POS];
int size = ((int*)start)[SIZE_POS];
if(count == size)
{
ExpandArrPtr(start, size, count);
}
if(pos == count)
{
start[pos] = pnew;
}
else
{
for(int i = count;i >= pos;i--)
{
start[i+1] = start[i];
}
start[pos] = pnew;
}
count++;
((int*)start)[COUNT_POS] = count;
}
void add_goods(void **&Start, goods * Pnew)
{
int pos;
bool find;
bin_search((((shop*)(Start))->sublevel), Pnew->name, pos, find, compare_goods);
addtosort((((shop*)(Start))->sublevel), Pnew, pos);
}
// finding the item in second level to add
void find_place(QString key)
{
int pos;
bool find;
int count = ((int*)Start)[COUNT_POS];
for(int i = 0;i < count;i++)
{
bin_search(((net*)(Start)[i])->sublevel, key, pos, find, compare_shop);
if(find)
{
goods * Pnew = new goods;
Pnew->date = "foo"
Pnew->name = "bar"
add_goods(((net*)(Start)[pos])->sublevel, Pnew);
break;
}
}
}
What can cause such problem?

Related

Rabin Karp using linear hash

For course I am taking I need to implement the Rabin-Karp string search algorithm, with different hash implementation. First I have done a rolling hash and that works just fine. Problem is when it comes to linear and separate chaining hash. I have made a linear hash header file and for primary hash methods it works Ok, also I have written a Rabin-Karp algorithm that works with other versions of hash. But now I do not know how to put this two together.
Here is what I have written by now
hash.h
#ifndef HASH_H
#define HASH_H
#include <vector>
using namespace std;
template <typename Tip>
class Hash {
struct Element {
int key;
Tip value;
int mark; //0 free, 1 occupied, 2 was occupied
Element(int key = 0, Tip value = Tip(), int mark = 1):key(key),value(value),mark(mark){}
};
int h1(int key) {
return key%capacity;
}
int h2(int key) {
return 2*(key%5) + 1;
}
int capacity;
int no_of_elements;
const double factor_of_full;
vector<Element> Tabel;
public:
Hash():capacity(128),no_of_elements(0),factor_of_full(0.5){
Tabel.resize(capacity);
for(int i=0;i<capacity;i++)
Tabel[i].mark = 0;
}
void Insert(pair<int,Tip> element);
Tip Find(int key);
void Delete(int key);
};
template <typename Tip>
void Hash<Tip>::Insert(pair<int,Tip> element) {
if((double(no_of_elements+1))/capacity>factor_of_full) {
vector<Element> coppy = Tabel;
capacity*=2;
Tabel.resize(capacity);
no_of_elements = 0;
for(int i=0;i<Tabel.size();i++)
Tabel[i].mark = 0;
for(int i=0;i<coppy.size();i++)
if(coppy[i].mark == 1)
Insert({coppy[i].key,coppy[i].value});
}
int index = h1(element.first);
while(Tabel[index].mark == 1)
index = (index + h2(element.first))%capacity;
Tabel[index] = Element(element.first,element.second);
no_of_elements++;
}
template <typename Tip>
Tip Hash<Tip>::Find(int key) {
int index = h1(key);
for(int i=0;i<capacity;i++) {
if(Tabel[index].mark == 0)
break;
if(Tabel[index].mark == 1 && Tabel[index].key == key)
return Tabel[index].value;
else index = (index+h2(key))%capacity;
}
return Tip();
}
template <typename Tip>
void Hash<Tip>::Delete(int key) {
int index = h1(key);
for(int i=0;i<capacity;i++) {
if(Tabel[index].mark == 0)
return;
if(Tabel[index].mark == 1 && Tabel[index].key == key) {
Tabel[index].mark = 2;
no_of_elements--;
}
else index = (index+h2(key))%capacity;
}
return;
}
#endif // HASH_H
Rabin_Karp.cpp
#include <bits/stdc++.h>
#include "hash.h"
using namespace std;
const int P_B= 227;
const int P_M = 1000005;
int rabin_karp(const string& n, const string& find) {
int h1 = Hash(n);
int h2 = 0;
int pow = 1;
for (int i = 0; i < n.size(); i++)
pow = (pow * P_B) % P_M;
for (int i = 0; i < find.size(); i++) {
h2 = h2*P_B + find[i];
h2 %= P_M;
if (i >= n.size()) {
h2 -= pow * find[i-n.size()] % P_M;
if (h2 < 0)
h2 += P_M;
}
if (i >= n.size()-1 && h1 == h2)
return i - (n.size()-1);
}
return -1;
}

Discrete Event Simulation Algorithm debug

I am working on a discrete event simulation program in C++. My output is completely incorrect but all the output values are pretty close to the correct output. I have tried debugging my algorithm but I couldn't find any errors. Below is my main algorithm for the simulation.
I implemented the event priority queue using a min heap and array. I am not allowed to use any STL libraries. The FIFO queue used in the code is a linked list. When I print the event time at the top of the priority queue, the events are not always getting passed in ascending order (which I think is how event priority queues are supposed to work) and I do not understand why. The ascending order is breached mostly around event completion times. Please help!
#include <iostream>
#include <fstream>
#include "PQueue.h"
#include "SPqueue.h"
#include "LinkedList.h"
using namespace std;
int serverCount; //number of servers
Spqueue spq; //priority queue for servers
Pqueue pq; //priority queue for events
LinkedList list; //FIFO queue to put arriving events in
double totalTime; //variables for statistics calculation
double timeNow;
double totalWait;
int ql;
int qlength = 0;
double totalQlength;
int time = 0;
bool available(); //checks availability of servers
int main() {
ifstream fin;
fin.open("Sample2.txt");
if (!fin.good())
cerr << "Couldn't find file/corrupted file" << endl;
fin >> serverCount; //reads number of servers and efficiency
//from file
for (int i = 0; i < serverCount; i++) {
server s;
fin >> s.effi;
s.status = true;
s.count = 0;
spq.insert(s);
}
//reads first event from file
event e;
fin >> e.eventTime;
fin >> e.serviceTime;
e.eventType = -1;
pq.insert(e);
int i = 1;
//while priority queue is not empty
while (!pq.isEmpty()) {
timeNow = pq.getArrivalTime(1);
while (time < pq.getArrivalTime(1)) {
totalQlength = totalQlength + list.getLength();
time++;
}
//get event from priority queue
if (pq.getServer(1) == -1) { //if arrival event, add to FIFO queue
list.AddTail(pq.getArrivalTime(1), pq.getServiceTime());
if (list.getLength() > qlength) {
qlength = list.getLength();
}
//read next arrival event from file
if (!fin.eof()) {
event e;
fin >> e.eventTime;
fin >> e.serviceTime;
e.eventType = -1;
pq.insert(e);
i++;
}
}
else //must be customer complete event
{
spq.setIdle(pq.getServer(1)); //set the server to idle
}
pq.deleteMin(); //remove the evnt from priority queue
//if FIFO queue is not empty and servers are available
//process event
if ((list.isEmpty() == false) && (available() == true)) {
list.getHead();
int s = spq.getMin();
spq.setBusy(s); //set server to busy
spq.incrementCustNumber(s); //increment number of customers
//served
double waitTime = timeNow - list.getHead().arrivalTime;
totalWait = totalWait + waitTime;
double serviceT = spq.getEffi(s) * list.getHead().serviceTime;
double eventT = list.getHead().arrivalTime +serviceT;
event e2;
e2.eventTime = eventT;
e2.serviceTime = list.getHead().serviceTime;
e2.eventType = s;
pq.insert(e2); //add customer complete event to the priority
//queue
list.RemoveHead(); //remove head from FIFO
}
totalTime = pq.getArrivalTime(1);
}
fin.close();
return 0;
}
bool available() {
bool ava = false;
for (int i = 1; i <= serverCount; i++) {
if (spq.getStatus(i) == true) {
ava = true;
break;
}
}
return ava;
}
Below is the priority queue implementation:
#include <iostream>
#include <fstream>
#include "PQueue.h"
using namespace std;
Pqueue::Pqueue() {
inde = 0; //length of heap
}
void Pqueue::insert(event i) { //inserts new element into the heap array and maintains min heap property
inde++;
pqueue[inde] = i;
siftup(inde);
}
int Pqueue::getServer(int i) {
return pqueue[i].eventType;
}
void Pqueue::siftup(int i) { //shifts element up to the correct position in the heap
if (i == 1)
return;
int p = i / 2;
if (pqueue[p].eventTime > pqueue[i].eventTime)
{
swap(pqueue[i], pqueue[p]);
siftup(p);
}
}
void Pqueue::deleteMin() { //removes element at the root of the heap
swap(pqueue[inde], pqueue[1]);
inde--;
siftdown(1);
}
void Pqueue::siftdown(int i) { //shifts element to its position in the min heap
int c = i * 2;
int c2 = (i * 2) + 1;
if (c > inde) return;
int in = i;
if (pqueue[i].eventTime > pqueue[c].eventTime)
{
in = c;
}
if ((c2 < inde) && (pqueue[i].eventTime > pqueue[c2].eventTime))
{
in = c2;
}
if (pqueue[c].eventTime < pqueue[c2].eventTime) {
in = c;
}
if (in != i) {
swap(pqueue[i], pqueue[in]);
siftdown(in);
}
}
void Pqueue::swap(event& i, event& j) {
event temp;
temp = i;
i = j;
j = temp;
}
bool Pqueue::isEmpty() { //checks if the priority queue is empty
if (inde == 0) return true;
else
return false;
}
double Pqueue::getArrivalTime(int i) {
return pqueue[i].eventTime;
}
double Pqueue::getServiceTime() {
return pqueue[1].serviceTime;
}
There are five servers with varying efficiency. The most efficient idle server is to be used. For this, I sorted the array of servers efficiency wise in the beginning.
#include <iostream>
#include <fstream>
#include "SPqueue.h"
using namespace std;
Spqueue::Spqueue() {
inde = 0;
}
void Spqueue::insert(server i) { //inserts new element into the array
inde++;
spqueue[inde] = i;
}
void Spqueue::heapify(int n, int i)
{
int largest = i; // Initialize largest as root
int l = 2 * i; // left = 2*i + 1
int r = 2 * i +1; // right = 2*i + 2
// If left child is larger than root
if (l < n && spqueue[l].effi > spqueue[largest].effi)
largest = l;
// If right child is larger than largest so far
if (r < n && spqueue[r].effi > spqueue[largest].effi)
largest = r;
// If largest is not root
if (largest != i)
{
swap(spqueue[i], spqueue[largest]);
// Recursively heapify the affected sub-tree
heapify(n, largest);
}
}
void Spqueue::heapSort()
{
// Build heap (rearrange array)
for (int i = inde / 2 - 1; i > 0; i--)
heapify(inde, i);
// One by one extract an element from heap
for (int i = inde - 1; i > 0; i--)
{
// Move current root to end
swap(spqueue[1], spqueue[i]);
// call max heapify on the reduced heap
heapify(i, 1);
}
}
void Spqueue::swap(server& i, server& j) {
server temp;
temp = i;
i = j;
j = temp;
}
int Spqueue::getMin() { //iterates to the next available server in the sorted list of servers
int i = 0;
while (i <=20){
if (spqueue[i].status == true)
{
return i;
}
else
{
i++;
}
}
}
bool Spqueue::getStatus(int i) {
return spqueue[i].status;
}
void Spqueue::setBusy(int i) {
spqueue[i].status = false;
}
void Spqueue::addServiceTime(int i,double s) {
spqueue[i].busyTime = spqueue[i].busyTime + s;
}
double Spqueue::getTotalServiceTime(int i) {
return spqueue[i].busyTime;
}
void Spqueue::setIdle(int i) {
spqueue[i].status = true;
}
double Spqueue::getEffi(int i) {
return spqueue[i].effi;
}
void Spqueue::incrementCustNumber(int i) {
spqueue[i].count++;
}
int Spqueue::getCount(int i) {
return spqueue[i].count;
}
And the following function is supposed to return the most efficient server.
int Spqueue::getMin() { //iterates to the next available server in
the already sorted array
int i = 0;
while (i <=20){
if (spqueue[i].status == true)
{
return i;
}
else
{
i++;
}
}
}
Your priority queue implementation of siftdown has some problems.
void Pqueue::siftdown(int i) { //shifts element to its position in the min heap
int c = i * 2;
int c2 = (i * 2) + 1;
// *** Possible bug
// *** I think that if c == inde, then c is indexing beyond the current queue
if (c > inde) return;
int in = i;
if (pqueue[i].eventTime > pqueue[c].eventTime)
{
in = c;
}
if ((c2 < inde) && (pqueue[i].eventTime > pqueue[c2].eventTime))
{
in = c2;
}
// ***************
// ** Bug here
if (pqueue[c].eventTime < pqueue[c2].eventTime) {
in = c;
}
if (in != i) {
swap(pqueue[i], pqueue[in]);
siftdown(in);
}
}
First, I think you want to test c1 >= inde. Also, when you're checking to see if pqueue[c].eventTime < pqueue[c2].eventTime, you do so without making sure that c2 is within bounds.
I find the following to be a more clear and succinct way to do things:
// find the smallest child
int in = c;
if (c2 < inde && pqueue[c2] < pqueue[c])
{
in = c2;
}
if (pqueue[in] < pqueue[i]) {
swap(pqueue[i], pqueue[in]);
siftdown(in);
}

What causes an initialized class member variable to become (or appear) uninitialized within a method call?

I'm working on a programming lab on hash tables. The code we were given handles collisions by rehashing the key (by adding one) and trying again, simple, but works for lab. The problem is that, with the raw code, it could enter an infinite loop if you add a member to a full table. We were tasked to keep this from happening.
I'm using a count for contents (contentCount) so it wont get caught up in a loop, i.e. if count >= size, it won't insert.
The header and source files are below.
hashTable.h
#pragma once
#include <iostream>
using namespace std;
const int NONE = 0;
const int EMPTY = -1;
const int DELETED = -2;
class HashTable
{
public:
// Constructors
HashTable(int size);
HashTable(const HashTable & ht);
~HashTable();
// Methods
bool Insert(int key, int value);
bool Search(int key, int &value);
bool Delete(int key);
void Print();
private:
// Private methods
int Hash(int key);
int Hash2(int index);
// Private data
int Size;
int *Value;
int *Key;
int contentCount;
};
hashTable.cpp
#include "hashTable.h"
HashTable::HashTable(int size)
{
Size = size;
Value = new int[Size];
Key = new int[Size];
for (int index=0; index < Size; index++)
{
Value[index] = NONE;
Key[index] = EMPTY;
}
}
HashTable::HashTable(const HashTable & ht)
{
contentCount = 0;
Size = ht.Size;
Value = new int[Size];
Key = new int[Size];
for (int index=0; index < Size; index++)
{
Value[index] = ht.Value[index];
Key[index] = ht.Key[index];
}
}
HashTable::~HashTable()
{
delete []Value;
delete []Key;
}
bool HashTable::Insert(int key, int value)
{
if(contentCount >= Size)
{
return false;
}
// Find desired key
int index = Hash(key);
while ((Key[index] != key) && (Key[index] != EMPTY))
index = Hash2(index);
// Insert value into hash table
Value[index] = value;
Key[index] = key;
contentCount++;
return true;
}
bool HashTable::Search(int key, int &value)
{
// Find desired key
int index = Hash(key);
while ((Key[index] != key) && (Key[index] != EMPTY))
index = Hash2(index);
// Return value from hash table
if (Key[index] == key)
value = Value[index];
return (Key[index] == key);
}
bool HashTable::Delete(int key)
{
// Find desired key
int index = Hash(key);
while ((Key[index] != key) && (Key[index] != EMPTY))
index = Hash2(index);
// Delete value from hash table
if (Key[index] == key)
{
Value[index] = NONE;
Key[index] = DELETED;
contentCount--;
return true;
}
return false;
}
int HashTable::Hash(int key)
{
return key % Size;
}
int HashTable::Hash2(int index)
{
cout << "COLLISION\n";
return (index+1) % Size;
}
void HashTable::Print()
{
cout << "Index\t" << "Value\t" << "Key\n";
for (int index=0; index < Size; index++)
cout << index << "\t"
<< Value[index] << "\t"
<< Key[index] << "\n";
}
Thanks ahead for the help!
You're initializing contentCount in the copy constructor, but in HashTable(int size), you're not.
So obviously, it will be uninitialized.

Dijkstra's Algorithm issue [repost]

I realized I can't post answers to my own questions because of my low rep or whatever so i deleted my old question and am reasking it. i changed some things and still can't get what i'm looking for.
Here is most of the code
I left out some of the simpler implementations such as parts of the pathFinder class because I know for sure they work, which is why you'll see playerVertex and time just randomly there.
In the example they used a decreaseKey function, I'm not sure if THAT'S what I'm missing? I'm a beginner here, so constructive criticism is welcome. (hopefully as polite as possible) lol. My problem is printing the path, I get a looop of the same two values over and over again.
class Heap
{
public: Heap();
~Heap();
void insert(double element);
double deletemin();
void print();
int size(){return heap.size();}
private:
int currentIndex;
int left(int parent);
int right(int parent);
int parent(int child);
void heapifyup(int index);
void heapifydown(int index);
private:
vector<double> heap;
};
Heap::Heap()
{
currentIndex = 0;
}
Heap::~Heap()
{}
void Heap::insert(double element)
{
heap.push_back(element);
currentIndex++;
heapifyup(heap.size() - 1);
}
double Heap::deletemin()
{
double min = heap.front();
heap[0] = heap.at(heap.size()-1);
heap.pop_back();
heapifydown(0);
currentIndex--;
return min;
}
void Heap::print()
{
vector<double>::iterator pos = heap.begin();
cout << "Heap = ";
while ( pos != heap.end() )
{
cout << *pos;
++pos;
cout << endl;
}
}
void Heap::heapifyup(int index)
{
while((index>0) && (parent(index) >=0) && (heap[parent(index)] > heap[index]))
{
double tmp = heap[parent(index)];
heap[parent(index)] = heap[index];
heap[index] = tmp;
index = parent(index);
}
}
void Heap::heapifydown(int index)
{
int child = left(index);
if((child > 0) && (right(index) > 0) && (heap[child]>heap[right(index)]))
{
child = right(index);
}
if(child > 0)
{
double tmp = heap[index];
heap[index] = heap[child];
heap[child] = tmp;
heapifydown(child);
}
}
int Heap::left(int parent)
{
int i = ( parent <<1) + 1;
return(i<heap.size()) ? i : - 1;
}
int Heap::right(int parent)
{
int i = ( parent <<1) + 2;
return(i<heap.size()) ? i : - 1;
}
int Heap::parent(int child)
{
if(child != 0)
{
int i = (child - 1) >>1;
return i;
}
return -1;
}
class pathFinder : public weightedGraph
{
private:
vertex* playerVertex;
double time;
public:
string source;
pathFinder()
{
playerVertex = NULL;
time = 0;
}
void Dijkstra(int s,int t)
{
vertex *verts = findVertex(grid[s][t]);
Heap H;
for each(vertex *v in vertexList)
{
if(v->data == verts->data)
{
verts->distance = 0;
verts->pred = NULL;
}
v->distance = INFINITY;
v->pred = NULL;
H.insert(v->data);
}
while(H.size() != 0)
{
vertex *x = findVertex(H.deletemin());
for each(edge *v in x->adjacencyList)
{
if(v->end->visited != true)
{
relax(x,v->end);
v->end->visited = true;
}
else
break;
}
}
}
void relax(vertex *a, vertex *b)
{
if(a->distance + weightFrom(a,b) > b->distance)
{
b->distance = a->distance + weightFrom(a,b);
b->pred = a;
}
}
void printPath(double dest,double dest1)
{
vertex *verta = findVertex(dest);
while(verta->pred->data != dest1)
{
cout<<verta->data<<endl;
verta = verta->pred;
}
}
and i'm not sure about the print path being that. i just used the print path from the BFS algorithm i've implemented before.
Where in your printPath function are you looking for the end of the list?
You keep going verta = verta->pred until the data is not equal to some value.
By the way, don't compare doubles for equality, as it ain't going to happen. See What Every Computer Scientist Should Know About Floating Point.
What happens when you single step with your debugger?
(Try drawing the links and how you traverse them.)

C++ pointer "losing" its value

As an exercise (largely an exercise in trying to write something using pointers), I'm writing a cache simulation, specifically of the pseudo least recently used system from the old 486. I'm getting an "Access violation reading location" error on the line:
int min = treeArray[set]->root->findPLRU();
Initially the treeArray seems to be initialised properly (if I pause the program at the start and take a look, it's all as should be), but when the programme breaks and I delve in to examine things the root of the tree in question isn't defined.
I feel it's quite probable that I'm making some sort of very elementary pointer mistake, which is causing the pointer to the node to be "lost" somewhere, but I've no clue what it might be. Is there something in particular I need to do to "hold on" to a pointer value?
#include "stdafx.h"
#include "stdlib.h"
#include <conio.h>
#include <stdio.h>
#include <fcntl.h>
#include <stdlib.h>
#include <time.h>
#include <string.h>
#include <io.h>
#include "main.h"
//char fn[80]; // trace filename
int tf; // trace file
trace buf[BUFSZ / sizeof(trace)]; // buffer SIZE
int LRUHits = 0;
int pLRUHits = 0;
int randomHits = 0;
int height;
int cachelinenumber;
//log2 helper function
int log2(int n)
{
int i = 0;
while (n)
{
n = n >> 1;
i++;
}
return i - 1;
}
class CacheLine{
public:
int tag;
int access;
CacheLine();
};
class Cache;
class Node{
public:
bool goRight;
Node* left;
Node* right;
int leftCacheLine;
int rightCacheLine;
Node(int depth) // constructor
{
goRight = false;
if (depth < height - 1)
{
left = new Node(depth + 1);
right = new Node(depth + 1);
leftCacheLine = -1;
rightCacheLine = -1;
}
else
{
leftCacheLine = cachelinenumber;
cachelinenumber++;
rightCacheLine = cachelinenumber;
cachelinenumber++;
}
//printf("Depth: %d, Height: %d, Left: %d, Right: %d\n", depth, height, leftCacheLine, rightCacheLine);
}
~Node()
{
delete left;
delete right;
}
int findPLRU()
{
if (leftCacheLine < 0 || rightCacheLine < 0)
{
if (goRight)
{
goRight = false;
return right->findPLRU();
}
else
{
goRight = true;
return left->findPLRU();
}
}
else
{
if (goRight)
{
goRight = false;
return rightCacheLine;
}
else
{
goRight = true;
return leftCacheLine;
}
}
}
};
class Tree{
public:
Node* root;
Tree()
{
root = new Node(0);
}
~Tree()
{
delete root;
}
};
//cache class
class Cache
{
public:
CacheLine *cache;
int l, k, n, replacementPolicy;
int log2l, log2n;
int access;
Tree** treeArray;
//constructor
Cache(int ll, int kk, int nn, int _replacementPolicy)
{
l = ll;
k = kk;
n = nn;
replacementPolicy = _replacementPolicy;
log2l = log2(l);
log2n = log2(n);
cache = (CacheLine*)malloc(sizeof(CacheLine)*k*n);
for (int i = 0; i < k*n; i++)
{
cache[i].tag = 0x80000000;
cache[i].access = 0;
}
if (replacementPolicy == 1)
{
cachelinenumber = 0;
treeArray = new Tree*[n];
for (int i = 0; i < n; i++)
{
treeArray[i] = new Tree();
}
}
access = -1;
}
//destructor
~Cache()
{
free(cache);
}
//test for hit
void hit(int a)
{
access++;
int set = (a >> log2l) & (n - 1);
int tag = a >> (log2n + log2l);
CacheLine* c = &cache[set*k];
for (int i = 0; i < k; i++)
{
if (c[i].tag == tag)
{
c[i].access = access;
if (replacementPolicy == 0)
LRUHits++;
else if (replacementPolicy == 1)
pLRUHits++;
else if (replacementPolicy == 2)
randomHits++;
break;
}
}
if (replacementPolicy == 0) //LRU
{
int min = 0;
int minv = c[0].access;
for (int i = 1; i < k; i++)
{
if (c[i].access < minv)
{
minv = c[i].access;
min = i;
}
}
c[min].tag = tag;
c[min].access = access;
}
else if(replacementPolicy == 1) // pseudoLRU
{
int min = treeArray[set]->root->findPLRU();
c[min].tag = tag;
c[min].access = access;
}
else // random
{
srand(clock());
int randomNumber = rand()%k;
c[randomNumber].tag = tag;
c[randomNumber].access = access;
}
return;
}
};
void analyse (int l, int k, int n)
{
height = log2(k) + 1;
char fn[] = "ico0.trace";
if ((tf = open(fn, _O_RDONLY | _O_BINARY )) == -1) {
printf("unable to open file %s\n", fn);
exit(0);
}
LRUHits = 0;
pLRUHits = 0;
randomHits = 0;
Cache *cache0 = new Cache(l, k, n, 0); // LRU
Cache *cache1 = new Cache(l, k, n, 1); // pseudoLRU
Cache *cache2 = new Cache(l, k, n, 2); // random
int bytes, word0, a, type, burstcount;
int hits = 0;
int tcount = 0;
while (bytes = read(tf, buf, sizeof(buf)))
{
for (int i = 0; i < bytes / (int) sizeof(trace); i++, tcount++)
{
word0 = buf[i].word0;
a = (word0 & ADDRESSMASK) << 2;
type = (word0 >> TYPESHIFT) & TYPEMASK;
burstcount = ((word0 >> BURSTSHIFT) & BURSTMASK) + 1;
cache0->hit(a);
cache1->hit(a);
cache2->hit(a);
}
}
printf("Hits: %d Total: %d\n", LRUHits, tcount);
printf("Hits: %d Total: %d\n", pLRUHits, tcount);
printf("Hits: %d Total: %d\n\n\n", randomHits, tcount);
delete cache0;
delete cache1;
delete cache2;
}
int _tmain(int argc, _TCHAR* argv[])
{
//analyse(16, 1, 8);
analyse(16, 2, 512);
//analyse(16, 4, 256);
//analyse(16, 8, 128);
//analyse(16, 1024, 1);
_getch();
return 0;
}
Your question hasn't yet been pounced upon, probably because your code still doesn't compile since you've not provided main.h.
And even then it would annoy most folks trying to help you because you make no mention of the ico0.trace file that is required to prevent the code from immediately exiting.
You say int min = treeArray[set]->root->findPLRU(); access violates.
1) the value of set can never exceed the size n of your treeArray since you & n-1 the range of input values.
2) since your ~Tree() destructor is never called there will always be a treeArray[set]->root
3) since you *always create new left & right nodes whenever leftCacheLine = -1 or rightCacheLine = -1 it cannot be due to recursive findPLRUs
So, the pointer to the node is not being "lost" somewhere; it is being stomped on.
Try replacing:
int min = treeArray[set]->root->findPLRU();
c[min].tag = tag;
c[min].access = access;
with:
int min = treeArray[set]->root->findPLRU();
if (min >= k*n)
{
printf("ook\n");
}
else
{
c[min].tag = tag;
c[min].access = access;
}
and I think you will discover what's doing the stomping. ;)