Implement Stack using Queues - debugging

I am tried to solve this problem but can't rectify number of times. I replace what I know
class MyStack {
public:
int *arr;
int tops;
MyStack() {
arr=new int(25);
int tops=-1;
}
void push(int x) {
arr[++tops]=x;
}
int pop() {
tops--;
return arr[tops];
}
int top() {
return arr[tops];
}
bool empty() {
bool a;
a= tops==-1?true:false;
return a;
}
};
When I'm using some other complier it works and I got perfect.
Why the problem repit again? I got two problem has same error.

All your functions in MyStack (except empty()) have chances of causing illegal memory access. Here's some simple driver code for your class that would cause crashes.
int main()
{
MyStack stack;
int x = stack.pop(); //will crash
int x = stack.top();//will crash
for(int i = 0; i < 26; ++i) {
stack.push(i); //will crash at the last push()
}
return 0;
}
You need to protect:
reads to arr[] member via top() and pop() by always validating if tops is pointing to a valid value. If it's -1 it would cause a crash while accessing arr[-1] due to a heap-buffer underflow.
writes to arr[] via push() by always verifying tops and whether it's within the bounds of the allocated memory for arr[]. In the code, arr[] is backed by 25 integer elements. What if there are 26 elements pushed to the stack? The last would be a heap-buffer overflow.

Related

std::atomic on struct bit-fields

I'm modifying some existing open source library and there is a struct (say named as Node) containing bit-fields, e.g.
struct Node {
std::atomic<uint32_t> size:30;
std::atomic<uint32_t> isnull:1;
};
To fit my needs, these fields need to be atomic so I was expecting to use std::atomic for this and faced compile time error:
bit-field 'size' has non-integral type 'std::atomic<uint32_t>'
According to documentation, there is a restricted set of types which can be used for std::atomic
Can anyone advise/have idea on how to get functionality of atomic fields with the minimum impact to the existing source code?
Thanks in advance!
I used an unsigned short as an example below.
This is less ideal, but you could sacrifice 8 bits and insert a std::atomic_flag in the bit field with a union. Unfortunately, std::atomic_flag type is a std::atomic_bool type.
This structure can be spin locked manually every time you access it. However, the code should have minimal performance degradation (unlike creating, locking, unlocking, destroying with a std::mutex and std::unique_lock).
This code may waste about 10-30 clock cycles to enable low cost multi-threading.
PS. Make sure the reserved 8 bits below are not messed up by the endian structure of the processor. You may have to define at the end for big-endian processors. I only tested this code on an Intel CPU (always little-endian).
#include <iostream>
#include <atomic>
#include <thread>
union Data
{
std::atomic_flag access = ATOMIC_FLAG_INIT; // one byte
struct
{
typedef unsigned short ushort;
ushort reserved : 8;
ushort count : 4;
ushort ready : 1;
ushort unused : 3;
} bits;
};
class SpinLock
{
public:
inline SpinLock(std::atomic_flag &access, bool locked=true)
: mAccess(access)
{
if(locked) lock();
}
inline ~SpinLock()
{
unlock();
}
inline void lock()
{
while (mAccess.test_and_set(std::memory_order_acquire))
{
}
}
// each attempt will take about 10-30 clock cycles
inline bool try_lock(unsigned int attempts=0)
{
while(mAccess.test_and_set(std::memory_order_acquire))
{
if (! attempts) return false;
-- attempts;
}
return true;
}
inline void unlock()
{
mAccess.clear(std::memory_order_release);
}
private:
std::atomic_flag &mAccess;
};
void aFn(int &i, Data &d)
{
SpinLock lock(d.access, false);
// manually locking/unlocking can be tighter
lock.lock();
if (d.bits.ready)
{
++d.bits.count;
}
d.bits.ready ^= true; // alternate each time
lock.unlock();
}
int main(void)
{
Data f;
f.bits.count = 0;
f.bits.ready = true;
std::thread *p[8];
for (int i = 0; i < 8; ++ i)
{
p[i] = new std::thread([&f] (int i) { aFn(i, f); }, i);
}
for (int i = 0; i < 8; ++i)
{
p[i]->join();
delete p[i];
}
std::cout << "size: " << sizeof(f) << std::endl;
std::cout << "count: " << f.bits.count << std::endl;
}
The result is as expected...
size: 2
count: 4

libtorrent - storage_interface readv explanation

I have implemented a custom storage interface in libtorrent as described in the help section here.
The storage_interface is working fine, although I can't figure out why readv is only called randomly while downloading a torrent. From my view the overriden virtual function readv should get called each time I call handle->read_piece in piece_finished_alert. It should read the piece for read_piece_alert?
The buffer is provided in read_piece_alert without getting notified in readv.
So the question is why it is called only randomly and why it's not called on a read_piece() call? Is my storage_interface maybe wrong?
The code looks like this:
struct temp_storage : storage_interface
{
virtual int readv(file::iovec_t const* bufs, int num_bufs
, int piece, int offset, int flags, storage_error& ec)
{
// Only called on random pieces while downloading a larger torrent
std::map<int, std::vector<char> >::const_iterator i = m_file_data.find(piece);
if (i == m_file_data.end()) return 0;
int available = i->second.size() - offset;
if (available <= 0) return 0;
if (available > num_bufs) available = num_bufs;
memcpy(&bufs, &i->second[offset], available);
return available;
}
virtual int writev(file::iovec_t const* bufs, int num_bufs
, int piece, int offset, int flags, storage_error& ec)
{
std::vector<char>& data = m_file_data[piece];
if (data.size() < offset + num_bufs) data.resize(offset + num_bufs);
std::memcpy(&data[offset], bufs, num_bufs);
return num_bufs;
}
virtual bool has_any_file(storage_error& ec) { return false; }
virtual ...
virtual ...
}
Intialized with
storage_interface* temp_storage_constructor(storage_params const& params)
{
printf("NEW INTERFACE\n");
return new temp_storage(*params.files);
}
p.storage = &temp_storage_constructor;
The function below sets up alerts and invokes read_piece on each completed piece.
while(true) {
std::vector<alert*> alerts;
s.pop_alerts(&alerts);
for (alert* i : alerts)
{
switch (i->type()) {
case read_piece_alert::alert_type:
{
read_piece_alert* p = (read_piece_alert*)i;
if (p->ec) {
// read_piece failed
break;
}
// piece buffer, size is provided without readv
// notification after invoking read_piece in piece_finished_alert
break;
}
case piece_finished_alert::alert_type: {
piece_finished_alert* p = (piece_finished_alert*)i;
p->handle.read_piece(p->piece_index);
// Once the piece is finished, we read it to obtain the buffer in read_piece_alert.
break;
}
default:
break;
}
}
Sleep(100);
}
I will answer my own question. As Arvid said in the comments: readv was not invoked because of caching. Setting settings_pack::use_read_cache to false will invoke readv always.

I am getting runtime error upon incrementing the pointer, what is the plausible reason?

I am new to C++, while I was implementing a tag class, I encountered a runtime error.
Upon debugging I found out that the runtime error was caused by incrementing pointer(**) attrib_list, but the other pointer which points to same memory address produces no error on incrementing,
Please explain to me what is the reason for this odd behaviour ?
I used hackerrank online ide to compile this code
class Tag{
public:
Tag():
tagname{""}, sz{0}, t_sz{0}, attrib_list{nullptr}, ptr_nav{nullptr}{
}
Tag(string name, int n_att):
tagname{name}, sz{0}, t_sz{n_att}, attrib_list{new string*[n_att]}{
for(int i=0; i<n_att; i++){
attrib_list[i] = new string[2];
}
ptr_nav = &attrib_list[0]; //take risk here
}
~Tag(){
for(int i=0; i< t_sz; i++){
delete[] attrib_list[i];
}
attrib_list = nullptr;
ptr_nav = nullptr;
t_sz, sz = 0;
}
// this function produces rintime error
void add_attribute(string name, string value){
(*attrib_list)[0] = name;
(*attrib_list)[1] = value;
sz++;
attrib_list++;
}
/*
This does not produce any error, why ????
void add_attribute(string name, string value){
(*ptr_nav)[0] = name;
(*ptr_nav)[1] = value;
sz++;
ptr_nav++;
}
*/
private:
string tagname;
string **attrib_list, **ptr_nav;
int sz, t_sz;
};
int main() {
Tag t("tag1", 2);
t.add_attribute("value1", "1"); //runtime error
t.add_attribute("value2", "2"); //runtime error
return 0;
}
After two calls to add_attribute, attrib_list is incremented twice and now points past the end of the original new[]-allocated array. Which is not in itself a problem.
But then your Tag instance goes out of scope, its destructor runs and tries to access attrib_list[i] on a now-invalid attrib_list pointer, which of course exhibits undefined behavior.
Unrelated to the immediate issue: t_sz, sz = 0; does not assign 0 to two variables (as you seem to believe), but only to sz. Read about comma operator in your favorite C++ reference. In any case, you don't need to do that in the first place (nor to set the two pointers to nullptr) - they are about to be destroyed anyway, their values at that point don't matter.

Run time error in graph

I am implementing Graph for the first time and for that I took this problem from SPOJ.
Took help of geeksforgeeks, applied union find algorithm to find out whether or not graph contains a cycle but I get run time error (SIGSEGV).
Can you please help why is it so?
#include<iostream>
#include<stdlib.h>
#include<string.h>
using namespace std;
struct Edge{
int s,d;
};
struct Graph{
int v,e;
struct Edge* edge;
};
struct Graph* create(int v, int e){
struct Graph* graph=(struct Graph*)malloc(sizeof (struct Graph));
graph->v=v;
graph->e=e;
graph->edge=(struct Edge*)malloc(sizeof (struct Edge));
return graph;
};
int Find(int p[],int i)
{
if (p[i] == -1)
return i;
return Find(p, p[i]);
}
void Union(int p[],int i, int j)
{
p[j]=i;
}
bool CheckCycle(struct Graph* graph)
{
int *p=(int*)malloc(graph->v* sizeof (int));
memset(p,-1,graph->v * sizeof (int));
/*for(int i=0;i<graph->v;i++)
cout<<"p"<<i<<"="<<p[i];
cout<<"\n";*/
for(int i=0;i<graph->e;i++)
{
/*cout<<"edge"<<i<<" src="<<graph->edge[i].s<<"\n";
cout<<"edge"<<i<<" dest="<<graph->edge[i].d<<"\n";*/
int x=Find(p,graph->edge[i].s);
int y=Find(p,graph->edge[i].d);
/*cout<<"x="<<x<<" "<<"y="<<y<<"\n";*/
if(x==y)
return true;
Union(p,x,y);
}
return false;
}
int main()
{
ios_base::sync_with_stdio(false);
int N,M,v1,v2;
cin>>N>>M;
if(M!=(N-1))
cout<<"NO\n";
else{
struct Graph* graph=create(N,M);
for(int i=0;i<M;i++)
{
cin>>v1;
graph->edge[i].s=v1-1;
cin>>v2;
graph->edge[i].d=v2-1;
}
if(CheckCycle(graph))
cout<<"NO\n";
else
cout<<"YES\n";
}
}
One issue is this in your main program:
graph->edge[i].s=v1-1;
You created a single edge. If i is greater than 0, then this is an out-of-bounds access.
Look how you created edge in the create function:
graph->edge=(struct Edge*)malloc(sizeof (struct Edge));
That allocation holds a single edge, not multiple edges. Given how you coded the rest of your program in a C-like fashion, what you probably wanted is this:
graph->edge=(struct Edge*)malloc(sizeof(Edge) * e);
Also, you should strive to not use single-letter variable names. It is hard to read code with e, v, etc. as member variable names. Name those items m_edge, m_vertex or something that is more descriptive.

Looking at Sorts - Quicksort Iterative?

I'm looking at all different sorts. Note that this is not homework (I'm in the midst of finals) I'm just looking to be prepared if that sort of thing would pop up.
I was unable to find a reliable method of doing a quicksort iteratively. Is it possible and, if so, how?
I'll try to give a more general answer in addition to the actual implementations given in the other posts.
Is it possible and, if so, how?
Let us first of all take a look at what can be meant by making a recursive algorithm iterative.
For example, we want to have some function sum(n) that sums up the numbers from 0 to n.
Surely, this is
sum(n) =
if n = 0
then return 0
else return n + sum(n - 1)
As we try to compute something like sum(100000), we'll soon see this recursive algorithm has it's limits - a stack overflow will occur.
So, as a solution, we use an iterative algorithm to solve the same problem.
sum(n) =
s <- 0
for i in 0..n do
s <- s + i
return s
However, it's important to note that this implementation is an entirely different algorithm than the recursive sum above. We didn't in some way modify the original one to obtain the iterative version, we basically just found a non-recursive algorithm - with different and arguably better performance characteristics - that solves the same problem.
This is the first aspect of making an algorithm iterative: Finding a different, iterative algorithm that solves the same problem.
In some cases, there simply might not be such an iterative version.
The second one however is applicable to every recursive algorithm. You can turn any recursion into iteration by explicitly introducing the stack the recursion uses implicitly. Now this algorithm will have the exact same characteristics as the original one - and the stack will grow with O(n) like in the recursive version. It won't that easily overflow since it uses conventional memory instead of the call stack, and its iterative, but it's still the same algorithm.
As to quick sort: There is no different formulation what works without storing the data needed for recursion. But of course you can use an explicit stack for them like Ehsan showed. Thus you can - as always - produce an iterative version.
#include <stdio.h>
#include <conio.h>
#define MAXELT 100
#define INFINITY 32760 // numbers in list should not exceed
// this. change the value to suit your
// needs
#define SMALLSIZE 10 // not less than 3
#define STACKSIZE 100 // should be ceiling(lg(MAXSIZE)+1)
int list[MAXELT+1]; // one extra, to hold INFINITY
struct { // stack element.
int a,b;
} stack[STACKSIZE];
int top=-1; // initialise stack
int main() // overhead!
{
int i=-1,j,n;
char t[10];
void quicksort(int);
do {
if (i!=-1)
list[i++]=n;
else
i++;
printf("Enter the numbers <End by #>: ");
fflush(stdin);
scanf("%[^\n]",t);
if (sscanf(t,"%d",&n)<1)
break;
} while (1);
quicksort(i-1);
printf("\nThe list obtained is ");
for (j=0;j<i;j++)
printf("\n %d",list[j]);
printf("\n\nProgram over.");
getch();
return 0; // successful termination.
}
void interchange(int *x,int *y) // swap
{
int temp;
temp=*x;
*x=*y;
*y=temp;
}
void split(int first,int last,int *splitpoint)
{
int x,i,j,s,g;
// here, atleast three elements are needed
if (list[first]<list[(first+last)/2]) { // find median
s=first;
g=(first+last)/2;
}
else {
g=first;
s=(first+last)/2;
}
if (list[last]<=list[s])
x=s;
else if (list[last]<=list[g])
x=last;
else
x=g;
interchange(&list[x],&list[first]); // swap the split-point element
// with the first
x=list[first];
i=first+1; // initialise
j=last+1;
while (i<j) {
do { // find j
j--;
} while (list[j]>x);
do {
i++; // find i
} while (list[i]<x);
interchange(&list[i],&list[j]); // swap
}
interchange(&list[i],&list[j]); // undo the extra swap
interchange(&list[first],&list[j]); // bring the split-point
// element to the first
*splitpoint=j;
}
void push(int a,int b) // push
{
top++;
stack[top].a=a;
stack[top].b=b;
}
void pop(int *a,int *b) // pop
{
*a=stack[top].a;
*b=stack[top].b;
top--;
}
void insertion_sort(int first,int last)
{
int i,j,c;
for (i=first;i<=last;i++) {
j=list[i];
c=i;
while ((list[c-1]>j)&&(c>first)) {
list[c]=list[c-1];
c--;
}
list[c]=j;
}
}
void quicksort(int n)
{
int first,last,splitpoint;
push(0,n);
while (top!=-1) {
pop(&first,&last);
for (;;) {
if (last-first>SMALLSIZE) {
// find the larger sub-list
split(first,last,&splitpoint);
// push the smaller list
if (last-splitpoint<splitpoint-first) {
push(first,splitpoint-1);
first=splitpoint+1;
}
else {
push(splitpoint+1,last);
last=splitpoint-1;
}
}
else { // sort the smaller sub-lists
// through insertion sort
insertion_sort(first,last);
break;
}
}
} // iterate for larger list
}
// End of code.
taken from here
I was unable to find a reliable method of doing a quicksort iteratively
Have you tried google ?
It is just common quicksort, when recursion is realized with array.
This is my effort. Tell me if there is any improvement possible.
This code is done from the book "Data Structures, Seymour Lipschutz(Page-173), Mc GrawHill, Schaum's Outline Series."
#include <stdio.h>
#include <conio.h>
#include <math.h>
#define SIZE 12
struct StackItem
{
int StartIndex;
int EndIndex;
};
struct StackItem myStack[SIZE * SIZE];
int stackPointer = 0;
int myArray[SIZE] = {44,33,11,55,77,90,40,60,99,22,88,66};
void Push(struct StackItem item)
{
myStack[stackPointer] = item;
stackPointer++;
}
struct StackItem Pop()
{
stackPointer--;
return myStack[stackPointer];
}
int StackHasItem()
{
if(stackPointer>0)
{
return 1;
}
else
{
return 0;
}
}
void ShowStack()
{
int i =0;
printf("\n");
for(i=0; i<stackPointer ; i++)
{
printf("(%d, %d), ", myStack[i].StartIndex, myStack[i].EndIndex);
}
printf("\n");
}
void ShowArray()
{
int i=0;
printf("\n");
for(i=0 ; i<SIZE ; i++)
{
printf("%d, ", myArray[i]);
}
printf("\n");
}
void Swap(int * a, int *b)
{
int temp = *a;
*a = *b;
*b = temp;
}
int Scan(int *startIndex, int *endIndex)
{
int partition = 0;
int i = 0;
if(*startIndex > *endIndex)
{
for(i=*startIndex ; i>=*endIndex ; i--)
{
//printf("%d->", myArray[i]);
if(myArray[i]<myArray[*endIndex])
{
//printf("\nSwapping %d, %d", myArray[i], myArray[*endIndex]);
Swap(&myArray[i], &myArray[*endIndex]);
*startIndex = *endIndex;
*endIndex = i;
partition = i;
break;
}
if(i==*endIndex)
{
*startIndex = *endIndex;
*endIndex = i;
partition = i;
}
}
}
else if(*startIndex < *endIndex)
{
for(i=*startIndex ; i<=*endIndex ; i++)
{
//printf("%d->", myArray[i]);
if(myArray[i]>myArray[*endIndex])
{
//printf("\nSwapping %d, %d", myArray[i], myArray[*endIndex]);
Swap(&myArray[i], &myArray[*endIndex]);
*startIndex = *endIndex;
*endIndex = i;
partition = i;
break;
}
if(i==*endIndex)
{
*startIndex = *endIndex;
*endIndex = i;
partition = i;
}
}
}
return partition;
}
int GetFinalPosition(struct StackItem item1)
{
struct StackItem item = {0};
int StartIndex = item1.StartIndex ;
int EndIndex = item1.EndIndex;
int PivotIndex = -99;
while(StartIndex != EndIndex)
{
PivotIndex = Scan(&EndIndex, &StartIndex);
printf("\n");
}
return PivotIndex;
}
void QuickSort()
{
int median = 0;
struct StackItem item;
struct StackItem item1={0};
struct StackItem item2={0};
item.StartIndex = 0;
item.EndIndex = SIZE-1;
Push(item);
while(StackHasItem())
{
item = Pop();
median = GetFinalPosition(item);
if(median>=0 && median<=(SIZE-1))
{
if(item.StartIndex<=(median-1))
{
item1.StartIndex = item.StartIndex;
item1.EndIndex = median-1;
Push(item1);
}
if(median+1<=(item.EndIndex))
{
item2.StartIndex = median+1;
item2.EndIndex = item.EndIndex;
Push(item2);
}
}
ShowStack();
}
}
main()
{
ShowArray();
QuickSort();
ShowArray();
}

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