#include <iostream>
#include <vector>
#include <algorithm>
using namespace std;
void merge(vector<int>& nums1, int n, vector<int>& nums2, int m) {
int i = n - 1, j = m - 1, k = n + m - 1;
while (i >= 0 && j >= 0) {
if (nums1[i] < nums2[j]) {
nums1[k--] = nums2[j--];
} else {
nums1[k--] = nums1[i--];
}
}
while (j >= 0) {
nums1[k--] = nums2[j--];
}
for (int i = 0; i < nums1.size(); i++) {
cout << nums1[i] << " ";
}
}
int main() {
vector<int> i = { 1, 3, 5, 7 };
vector<int> j = { 0, 2, 4, 6, 8, 10 };
int n = i.size();
int m = j.size();
merge(i, n, j, m);
return 0;
}
I want to print the merged sorted array now, but its always printing unmerged array(ie: the array before merging)
I tried many solutions and in one its just giving unsorted garbage kind of values.
C++ vectors, unlike javascript arrays, are not automatically resized upon storing elements at index values greater or equal to the allocated length. The behavior is undefined and could cause a segmentation fault or other program failures.
You must resize nums1 using the resize method before storing the merged values from the end of the combined length.
Note also that you should use type size_t for the index and length variables, which is tricky as you cannot rely on negative values to detect end conditions. Careful implementation actually results in simpler code as shown below.
Here is a modified version:
#include <iostream>
#include <vector>
using namespace std;
void merge(vector<int>& nums1, size_t n, vector<int>& nums2, size_t m) {
size_t i = n, j = m, k = n + m;
if (nums1.size() < k) {
nums1.resize(k);
}
while (i > 0 && j > 0) {
if (nums1[i - 1] < nums2[j - 1]) {
nums1[--k] = nums2[--j];
} else {
nums1[--k] = nums1[--i];
}
}
while (j > 0) {
nums1[--k] = nums2[--j];
}
}
int main() {
vector<int> a = { 1, 3, 5, 7 };
vector<int> b = { 0, 2, 4, 6, 8, 10 };
merge(a, a.size(), b, b.size());
for (size_t i = 0; i < a.size(); i++) {
cout << a[i] << " ";
}
cout << endl;
return 0;
}
Related
I am still learning about threads and I was trying to solve this problem in my code, when I am putting the pthread_join(thread[i],NULL) outside the loop that is creating the threads it always gives me wrong output and Thread with ID = 0 will not work(call the median func) and the last thread will work two times, for better understanding see the output below:
ThreadID= 0, startRow= 0, endRow= 0 // first thread doesn't call the median func
ThreadID= 1, startRow= 1, endRow= 1
ThreadID 1 numOfBright 0 numOfDark 1 numOfNormal 4
ThreadID= 2, startRow= 2, endRow= 2
ThreadID 2 numOfBright 0 numOfDark 1 numOfNormal 4
ThreadID= 3, startRow= 3, endRow= 3
ThreadID 3 numOfBright 0 numOfDark 0 numOfNormal 5
ThreadID= 4, startRow= 4, endRow= 4
ThreadID 4 numOfBright 0 numOfDark 5 numOfNormal 0
ThreadID 4 numOfBright 0 numOfDark 5 numOfNormal 0 // last thread is calling the median func two times.
This is the part of the code that prints the start and end row of each thread.
pthread_t* threads = new pthread_t[num_threads];
struct Th_Range* RANGE = (struct Th_Range*)malloc(sizeof(struct Th_Range*));
int thread_status;
RANGE->SizeOfImage = r; // 2d array with size (n*n) so rows(r) = columns(c)
if (n == num_threads) { //rows = num of threads then every thread will work in a single row
for (int i = 0; i < num_threads; i++) {
RANGE->ThreadId = i;
RANGE->StartRow = RANGE->EndRow = i;
cout << "ThreadID= " << i << ", startRow= " << RANGE->StartRow << ", endRow= " << RANGE->EndRow << endl;
thread_status = pthread_create(&threads[i], NULL, Median, RANGE);
if (thread_status)
exit(-1);
} //for loop ends here
for (int i = 0; i < num_threads; i++)
pthread_join(threads[i],NULL);
} //end of if statement
Here is the part of the code if needed with the median function and the above if statement.
#include <iostream>
#include <bits/stdc++.h>
#include <pthread.h>
pthread_mutex_t Lock;
pthread_mutex_t Pixels;
pthread_mutex_t Pixels2;
using namespace std;
int numOfBright, numOfDark, numOfNormal;
int** Oimage, ** Fimage; //original and filtered image
struct Th_Range {
int SizeOfImage;
int StartRow;
int EndRow;
int ThreadId;
};
void* Median(void* par)
{
struct Th_Range* Num = (struct Th_Range*)par;
int StartRow = Num->StartRow;
int EndRow = Num->EndRow;
int Size = Num->SizeOfImage;
int Neighbour[9] = { 0 };
int dark = 0, bright = 0, normal = 0;
if (EndRow == StartRow)
EndRow += 2;
else
EndRow++;
for (int i = StartRow +1; i < EndRow ; i++)
{
for (int j = 1; j < Size - 1; j++)
{
Neighbour[0] = Oimage[i - 1][j - 1];
Neighbour[1] = Oimage[i - 1][j];
Neighbour[2] = Oimage[i - 1][j + 1];
Neighbour[3] = Oimage[i][j - 1];
Neighbour[4] = Oimage[i][j];
Neighbour[5] = Oimage[i][j + 1];
Neighbour[6] = Oimage[i + 1][j - 1];
Neighbour[7] = Oimage[i + 1][j];
Neighbour[8] = Oimage[i + 1][j + 1];
pthread_mutex_lock(&Pixels); //it can be moved only to lock the Fimage and the numOfBright or any other global variables
sort(Neighbour, Neighbour + 9);
Fimage[i][j] = Neighbour[4];
if (Neighbour[4] > 200) {
bright++;
numOfBright++;
}
else if (Neighbour[4] < 50) {
dark++;
numOfDark++;
}
else {
normal++;
numOfNormal++;
}
pthread_mutex_unlock(&Pixels);
}
}
pthread_mutex_lock(&Pixels2); //when I try to remove this lock the output gets interrupted
cout << "ThreadID " << Num->ThreadId << " numOfBright " << bright << " numOfDark " << dark << " numOfNormal " << normal<<endl;
pthread_mutex_unlock(&Pixels2);
pthread_exit(NULL);
}
int main(int argc, char* argv[])
{
int num_threads, n, r, c; // n is the size of the matrix r and c are rows and columns
numOfNormal = numOfDark = numOfBright = 0;
if (argc >= 2)
num_threads = atoi(argv[1]);
else
exit(-1);
ifstream cin("input.txt");
cin >> n;
r = c = n + 2;
Oimage = new int* [r]();
Fimage = new int* [r]();
for (int i = 0; i < c; i++)
{
Oimage[i] = new int[c]();
Fimage[i] = new int[c]();
}
for (int i = 1; i < r - 1; i++)
for (int j = 1; j < c - 1; j++)
cin >> Oimage[i][j];
pthread_t* threads = new pthread_t[num_threads];
struct Th_Range* RANGE = (struct Th_Range*)malloc(sizeof(struct Th_Range*));
RANGE->SizeOfImage = r;
if (n == num_threads) { //rows = num of threads then every thread will work in a single row
//n+2
int thread_status;
for (int i = 0; i < num_threads; i++) {
RANGE->ThreadId = i;
RANGE->StartRow = RANGE->EndRow = i;
// pthread_mutex_lock(&Lock);
cout << "ThreadID= " << i << ", startRow= " << RANGE->StartRow << ", endRow= " << RANGE->EndRow << endl;
thread_status = pthread_create(&threads[i], NULL, Median, RANGE);
if (thread_status)
exit(-1);
}
}
I tried to move pthread_join inside the loop of pthread_create it gives a correct output but of course it is a wrong solution. I have no idea what to do next. Thanks in advance
Maybe you should use #include
or (using namespace sff) it must work
Eg: k=2, arr[] = 13,12,242,32,1532,1222, 33
Output:3 (1222 has the most 2s, which is 3)
How to solve with time compexity better than O(n²) i.e. two loops
Well, to solve this problem we have to check all the digits of every number on the list.
So let's say the numbers have maximum_length = m, and we have a total of n numbers. Then we can achieve a complexity of O(n*m). Here is a sample c++ code, and here I am assuming that all numbers on the list fit on a 32 bit signed integer. It also produces the correct answer for the test case you have provided.
#include <vector>
#include <iostream>
int calculate_ans( int number, int k ) {
if( number == 0 ) {
if( k == 0 ) return 1;
return 0;
}
if( number < 0 ) number = -number;
int ans = 0;
while( number > 0 ) {
int last_digit = ( number % 10 );
if( last_digit == k ) ans++;
number /= 10;
}
return ans;
}
int solve( const std::vector<int>& number_list, int k ) {
int best = 0;
for( const auto& number : number_list ) best = std::max( best, calculate_ans( number, k ) );
return best;
}
int main() {
std::vector< int > arr = { 13, 12, 242, 32, 1532, 1222, 33};
std::cout << solve( arr, 2 ) << std::endl;
}
I have been fiddling with the following C++ code for integration with R code that I have written (too much to include here), but keep getting an error that the Cube::operator() index is out of bounds and I am unsure as to why this is occurring. My suspicion is that the 3D array is not being filled correctly as described in
making 3d array with arma::cube in Rcpp shows cube error
but I am uncertain how to properly solve the issue.
Below is my full C++ code:
// [[Rcpp::depends(RcppArmadillo)]]
#define ARMA_DONT_PRINT_OPENMP_WARNING
#include <RcppArmadillo.h>
#include <RcppArmadilloExtensions/sample.h>
#include <set>
using namespace Rcpp;
int sample_one(int n) {
return n * unif_rand();
}
int sample_n_distinct(const IntegerVector& x,
int k,
const int * pop_ptr) {
IntegerVector ind_index = RcppArmadillo::sample(x, k, false);
std::set<int> distinct_container;
for (int i = 0; i < k; i++) {
distinct_container.insert(pop_ptr[ind_index[i]]);
}
return distinct_container.size();
}
// [[Rcpp::export]]
arma::Cube<int> fillCube(const arma::Cube<int>& pop,
const IntegerVector& specs,
int perms,
int K) {
int num_specs = specs.size();
arma::Cube<int> res(perms, num_specs, K);
IntegerVector specs_C = specs - 1;
const int * pop_ptr;
int i, j, k;
for (i = 0; i < K; i++) {
for (k = 0; k < num_specs; k++) {
for (j = 0; j < perms; j++) {
pop_ptr = &(pop(0, sample_one(perms), sample_one(K)));
res(j, k, i) = sample_n_distinct(specs_C, k + 1, pop_ptr);
}
}
}
return res;
}
Does someone have an idea as to what may be producing the said error?
Below is the R code with a call to the C++ function (including a commented-out triply-nested 'for' loop that the C++ code reproduces).
## Set up container(s) to hold the identity of each individual from each permutation ##
num.specs <- ceiling(N / K)
## Create an ID for each haplotype ##
haps <- 1:Hstar
## Assign individuals (N) to each subpopulation (K) ##
specs <- 1:num.specs
## Generate permutations, assume each permutation has N individuals, and sample those individuals' haplotypes from the probabilities ##
gen.perms <- function() {
sample(haps, size = num.specs, replace = TRUE, prob = probs)
}
pop <- array(dim = c(perms, num.specs, K))
for (i in 1:K) {
pop[,, i] <- replicate(perms, gen.perms())
}
## Make a matrix to hold individuals from each permutation ##
# HAC.mat <- array(dim = c(perms, num.specs, K))
## Perform haplotype accumulation ##
# for (k in specs) {
# for (j in 1:perms) {
# for (i in 1:K) {
# select.perm <- sample(1:nrow(pop), size = 1, replace = TRUE) # randomly sample a permutation
# ind.index <- sample(specs, size = k, replace = FALSE) # randomly sample individuals
# select.subpop <- sample(i, size = 1, replace = TRUE) # randomly sample a subpopulation
# hap.plot <- pop[select.perm, ind.index, select.subpop] # extract data
# HAC.mat[j, k, i] <- length(unique(hap.plot)) # how many haplotypes are recovered
# }
# }
# }
HAC.mat <- fillCube(pop, specs, perms, K)
This is an out-of-bounds error. The gist of problem is the call
pop_ptr = &(pop(0, sample_one(perms), sample_one(K)));
since
sample_one(perms)
is being placed as an access index where the max length is num_specs. This is seen by how res is defined:
arma::Cube<int> res(perms, num_specs, K);
Thus, moving out perms out of num_specs place should resolve the issue.
// [[Rcpp::export]]
arma::Cube<int> fillCube(const arma::Cube<int>& pop,
const IntegerVector& specs,
int perms,
int K) {
int num_specs = specs.size();
arma::Cube<int> res(perms, num_specs, K);
IntegerVector specs_C = specs - 1;
const int * pop_ptr;
int i, j, k;
for (i = 0; i < K; i++) {
for (k = 0; k < num_specs; k++) {
for (j = 0; j < perms; j++) {
// swapped location
pop_ptr = &(pop(sample_one(perms), 0, sample_one(K)));
// should the middle index be 0?
res(j, k, i) = sample_n_distinct(specs_C, k + 1, pop_ptr);
}
}
}
return res;
}
I have looked extensively for the problem in this code, but I can't seem to figure out what tragic error I made and why it is triggering a breakpoint.
(After 3 or 4 inputs, it triggers and I don't know why it doesn't trigger at the start or what is causing it)
#include <conio.h> // For function getch()
#include <cstdlib> // For several general-purpose functions
#include <fstream> // For file handling
#include <iomanip> // For formatted output
#include <iostream> // For cin, cout, and system
#include <string> // For string data type
using namespace std; // So "std::cout" may be abbreviated to "cout", for example.
string convertDecToBin(int dec)
{
int *arrayHex, arraySize = 0;
arrayHex = new int[];
string s = " ";
int r = dec;
for (int i = 0; r != 0; i++)
{
arrayHex[i] = r % 2;
r = r / 2;
arraySize++;
}
for (int j = 0; j < arraySize; j++)
{
s = s + to_string(arrayHex[arraySize - 1 - j]);
}
delete[] arrayHex;
return s;
}
string convertDecToOct(int dec)
{
int *arrayHex, arraySize = 0;
arrayHex = new int[];
string s = " ";
int r = dec;
for (int i = 0; r != 0; i++)
{
arrayHex[i] = r % 8;
r = r / 8;
arraySize++;
}
for (int j = 0; j < arraySize; j++)
{
s = s + to_string(arrayHex[arraySize - 1 - j]);
}
delete[] arrayHex;
return s;
}
int main()
{
int input = 0;
while (input != -1)
{
cout << "\nEnter a decimal number (-1 to exit loop): ";
cin >> input;
if (input != -1)
{
cout << "Your decimal number in binary expansion: " << convertDecToBin(input);
cout << "\nYour decimal number in octal ecpression: " << convertDecToOct(input);
}
}
cout << "\n\nPress any key to exit. . .";
_getch();
return 0;
}
arrayHex = new int[] is your problem - C\C++ does not support dynamic sizing arrays. You need to specify a size for the array to allocation, otherwise you'll get memory block overruns.
I want to know efficient approach for the New Lottery Game problem.
The Lottery is changing! The Lottery used to have a machine to generate a random winning number. But due to cheating problems, the Lottery has decided to add another machine. The new winning number will be the result of the bitwise-AND operation between the two random numbers generated by the two machines.
To find the bitwise-AND of X and Y, write them both in binary; then a bit in the result in binary has a 1 if the corresponding bits of X and Y were both 1, and a 0 otherwise. In most programming languages, the bitwise-AND of X and Y is written X&Y.
For example:
The old machine generates the number 7 = 0111.
The new machine generates the number 11 = 1011.
The winning number will be (7 AND 11) = (0111 AND 1011) = 0011 = 3.
With this measure, the Lottery expects to reduce the cases of fraudulent claims, but unfortunately an employee from the Lottery company has leaked the following information: the old machine will always generate a non-negative integer less than A and the new one will always generate a non-negative integer less than B.
Catalina wants to win this lottery and to give it a try she decided to buy all non-negative integers less than K.
Given A, B and K, Catalina would like to know in how many different ways the machines can generate a pair of numbers that will make her a winner.
For small input we can check all possible pairs but how to do it with large inputs. I guess we represent the binary number into string first and then check permutations which would give answer less than K. But I can't seem to figure out how to calculate possible permutations of 2 binary strings.
I used a general DP technique that I described in a lot of detail in another answer.
We want to count the pairs (a, b) such that a < A, b < B and a & b < K.
The first step is to convert the numbers to binary and to pad them to the same size by adding leading zeroes. I just padded them to a fixed size of 40. The idea is to build up the valid a and b bit by bit.
Let f(i, loA, loB, loK) be the number of valid suffix pairs of a and b of size 40 - i. If loA is true, it means that the prefix up to i is already strictly smaller than the corresponding prefix of A. In that case there is no restriction on the next possible bit for a. If loA ist false, A[i] is an upper bound on the next bit we can place at the end of the current prefix. loB and loK have an analogous meaning.
Now we have the following transition:
long long f(int i, bool loA, bool loB, bool loK) {
// TODO add memoization
if (i == 40)
return loA && loB && loK;
int hiA = loA ? 1: A[i]-'0'; // upper bound on the next bit in a
int hiB = loB ? 1: B[i]-'0'; // upper bound on the next bit in b
int hiK = loK ? 1: K[i]-'0'; // upper bound on the next bit in a & b
long long res = 0;
for (int a = 0; a <= hiA; ++a)
for (int b = 0; b <= hiB; ++b) {
int k = a & b;
if (k > hiK) continue;
res += f(i+1, loA || a < A[i]-'0',
loB || b < B[i]-'0',
loK || k < K[i]-'0');
}
return res;
}
The result is f(0, false, false, false).
The runtime is O(max(log A, log B)) if memoization is added to ensure that every subproblem is only solved once.
What I did was just to identify when the answer is A * B.
Otherwise, just brute force the rest, this code passed the large input.
// for each test cases
long count = 0;
if ((K > A) || (K > B)) {
count = A * B;
continue; // print count and go to the next test case
}
count = A * B - (A-K) * (B-K);
for (int i = K; i < A; i++) {
for (int j = K; j < B; j++) {
if ((i&j) < K) count++;
}
}
I hope this helps!
just as Niklas B. said.
the whole answer is.
#include <algorithm>
#include <cstring>
#include <iomanip>
#include <iostream>
#include <iterator>
#include <map>
#include <sstream>
#include <string>
#include <vector>
using namespace std;
#define MAX_SIZE 32
int A, B, K;
int arr_a[MAX_SIZE];
int arr_b[MAX_SIZE];
int arr_k[MAX_SIZE];
bool flag [MAX_SIZE][2][2][2];
long long matrix[MAX_SIZE][2][2][2];
long long
get_result();
int main(int argc, char *argv[])
{
int case_amount = 0;
cin >> case_amount;
for (int i = 0; i < case_amount; ++i)
{
const long long result = get_result();
cout << "Case #" << 1 + i << ": " << result << endl;
}
return 0;
}
long long
dp(const int h,
const bool can_A_choose_1,
const bool can_B_choose_1,
const bool can_K_choose_1)
{
if (MAX_SIZE == h)
return can_A_choose_1 && can_B_choose_1 && can_K_choose_1;
if (flag[h][can_A_choose_1][can_B_choose_1][can_K_choose_1])
return matrix[h][can_A_choose_1][can_B_choose_1][can_K_choose_1];
int cnt_A_max = arr_a[h];
int cnt_B_max = arr_b[h];
int cnt_K_max = arr_k[h];
if (can_A_choose_1)
cnt_A_max = 1;
if (can_B_choose_1)
cnt_B_max = 1;
if (can_K_choose_1)
cnt_K_max = 1;
long long res = 0;
for (int i = 0; i <= cnt_A_max; ++i)
{
for (int j = 0; j <= cnt_B_max; ++j)
{
int k = i & j;
if (k > cnt_K_max)
continue;
res += dp(h + 1,
can_A_choose_1 || (i < cnt_A_max),
can_B_choose_1 || (j < cnt_B_max),
can_K_choose_1 || (k < cnt_K_max));
}
}
flag[h][can_A_choose_1][can_B_choose_1][can_K_choose_1] = true;
matrix[h][can_A_choose_1][can_B_choose_1][can_K_choose_1] = res;
return res;
}
long long
get_result()
{
cin >> A >> B >> K;
memset(arr_a, 0, sizeof(arr_a));
memset(arr_b, 0, sizeof(arr_b));
memset(arr_k, 0, sizeof(arr_k));
memset(flag, 0, sizeof(flag));
memset(matrix, 0, sizeof(matrix));
int i = 31;
while (i >= 1)
{
arr_a[i] = A % 2;
A /= 2;
arr_b[i] = B % 2;
B /= 2;
arr_k[i] = K % 2;
K /= 2;
i--;
}
return dp(1, 0, 0, 0);
}