wtorek, 9 października 2018
sobota, 6 października 2018
piątek, 5 października 2018
Codility - CountNonDivisible
Idea:
Take an element.
Count amount divisors it has.
Non-divisors = N - amount_of_divisors
Take an element.
Count amount divisors it has.
Non-divisors = N - amount_of_divisors
import static java.lang.Integer.max;
import java.util.Arrays;
class Solution {
public int[] solution(int[] A) {
final int N = A.length;
final int MAX_VALUE_TBL = 2*50000;
int[] r = new int[N]; // result table
int[] AS_AV = new int[MAX_VALUE_TBL + 1]; // number of cell with values
int[] AS_AR = new int[MAX_VALUE_TBL + 1]; // results yet counted for values
boolean[] b = new boolean[MAX_VALUE_TBL + 1]; // if value has been counted
if (N == 1) return r;
for (int i = 0; i < N; i++) {
int v = A[i];
AS_AV[v]++;
}
for (int i = 0; i < N; i++) {
int cu_val = A[i];
if (!b[cu_val]) {
int am_div = getAmDivisors(cu_val, AS_AV);
int am_all = N;
r[i] = am_all - am_div;
b[cu_val] = true;
AS_AR[cu_val] = r[i];
} else {
r[i] = AS_AR[cu_val];
}
}
return r;
}
private int getAmDivisors(int cu_val, int[] AS_AV) {
int r = 0;
int sqr = (int) Math.sqrt(cu_val);
for (int divisor = sqr; divisor > 0; divisor--) {
if (cu_val % divisor == 0) {
r += AS_AV[divisor];
if (divisor * divisor != cu_val) {
r += AS_AV[cu_val / divisor];
}
}
}
return r;
}
}
czwartek, 4 października 2018
Codility - Flags
This is a solution for Codility Flags task:
Idea.
Idea.
- Register all peaks.
- Maximum flag number is Math.sqrt(idxOfLastPeak - idxOfFirstPeak)+1
- Go through possible flag numbers, starting from maximum downwards. Check every time number of possible flags.
- If number of possible flags >= number tested (taken) than return number.
import static java.lang.Integer.min;
class Solution {
public int solution(int[] A) {
int r = 0;
final int N = A.length;
int[] P = new int[N / 2];
int iP = -1;
int max_flag_number;
for (int i = 1; i < N - 1; i++) {
if (A[i] > A[i - 1] && A[i] > A[i + 1]) {
P[++iP] = i;
}
}
if (iP == -1)
return 0;
if (iP == 0)
return 1;
max_flag_number = (int) (Math.sqrt(P[iP] - P[0])+1);
for (int flag_taken = max_flag_number; flag_taken > 0; flag_taken--) {
int possible_nb_flag = countFlag(P, flag_taken, iP);
if (possible_nb_flag >= flag_taken) {
r = min(possible_nb_flag, flag_taken);
break;
}
}
return r;
}
private int countFlag(int[] P, int space, int iP) {
int r = 1;
int start_flag;
start_flag = P[0];
for (int i = 1; i <= iP; i++) {
if (P[i] - start_flag >= space) {
r++;
start_flag = P[i];
}
}
return r;
}
}
środa, 3 października 2018
Codility Peaks v2
This is the second solution for Codility task, named Peaks.
The idea is simple:
I collect all the "peaks", and meanwhile I notice prefix sum of peak encounters.
I go through possible sizes of division as long, as I find that one, that has at least one peak in every "block" aka division.
============================================
public int solution(int[] A) {
int r = 0; // result
final int N = A.length; // size of input table
int[] P = new int[N/2]; // peaks
int pInd = -1; // last index of peaks table
int[] S = new int[N]; // sumprefix of peak count
for(int i = 1; i < N-1; i++){
if(A[i] > A[i-1] && A[i] > A[i+1]){
P[++pInd] = i; // remember peak index
S[i] = S[i-1]+1; // remember amount of peaks till this idx
} else {
S[i] = S[i-1];
}
}
if(pInd == -1) return 0; // no peaks
if(pInd == 0) return 1; // one peak means one block
S[N-1] = S[N-2]; // filling the last value of S
int minSize = max(N - P[pInd], P[0]+1); // first and last block has to have a peak
for(int size = minSize; size <=N; size++){
boolean noPeak = false;
if(N % size == 0){
int blocksAmount = N/size;
for(int blockNb = 1; blockNb < blocksAmount; blockNb++){
if( !(S[(blockNb+1)*size -1] > S[blockNb*size -1]) ){
noPeak = true;
break;
}
} // end of loop for blocks
if (!noPeak) {
r = N / size;
break;
}
}
} // end of loop for sizes
return r;
}
The idea is simple:
I collect all the "peaks", and meanwhile I notice prefix sum of peak encounters.
I go through possible sizes of division as long, as I find that one, that has at least one peak in every "block" aka division.
============================================
public int solution(int[] A) {
int r = 0; // result
final int N = A.length; // size of input table
int[] P = new int[N/2]; // peaks
int pInd = -1; // last index of peaks table
int[] S = new int[N]; // sumprefix of peak count
for(int i = 1; i < N-1; i++){
if(A[i] > A[i-1] && A[i] > A[i+1]){
P[++pInd] = i; // remember peak index
S[i] = S[i-1]+1; // remember amount of peaks till this idx
} else {
S[i] = S[i-1];
}
}
if(pInd == -1) return 0; // no peaks
if(pInd == 0) return 1; // one peak means one block
S[N-1] = S[N-2]; // filling the last value of S
int minSize = max(N - P[pInd], P[0]+1); // first and last block has to have a peak
for(int size = minSize; size <=N; size++){
boolean noPeak = false;
if(N % size == 0){
int blocksAmount = N/size;
for(int blockNb = 1; blockNb < blocksAmount; blockNb++){
if( !(S[(blockNb+1)*size -1] > S[blockNb*size -1]) ){
noPeak = true;
break;
}
} // end of loop for blocks
if (!noPeak) {
r = N / size;
break;
}
}
} // end of loop for sizes
return r;
}
Codility - Peaks
This is the first solution of the peaks task form Codility platform:
Idea is to determine min and max size of possible block, then go through peaks and increase minimum size of the block if some peak is "out of the division". Additionally there is a list of forbidden value of sizes to avoid situation that increasing minimum size on one peak would negatively interfere with any of previous peaks.
It's very long in implementation, but intuitive, very fast && maybe original. Faster than widely published version with checking all the peaks in a loop of consecutive size of the block, if one don't use prefix sum for counting blocks. Of course 100% in Codility test.
Here is a code:
public int solution(int[] A) {
int r;
final int N = A.length;
int[] B = new int[N]; // space between peaks +1
int[] P = new int[N]; // peaks idxs
int iP; // max index of values in table P
int max_bl, min_bl;
List<Integer> list_impossible_min = new ArrayList<>();
int[] min_max_ip = new int[3]; // temporary storage for variables
// detemine B, P, iP, max_bl, min_bl
getMinMaxBl(A, B, P, min_max_ip);
min_bl = min_max_ip[0];
max_bl = min_max_ip[1];
iP = min_max_ip[2];
if(iP == -1){ // no peaks
return 0;
} else if(iP == 0){ // one peak
return 1;
}
// applaying last block size
int last_bl = N-1 -P[iP] + 1;
if( last_bl > min_bl){
min_bl = last_bl;}
if(last_bl > B[P[iP]]){
B[P[iP]] = last_bl;}
// applying condition of possible divide
while ((N % min_bl) != 0) {
min_bl++;}
while ((N % max_bl) != 0) {
max_bl++;}
for (int i = 1; i <= iP; i++) {
int idx_peak = P[i];
if (B[idx_peak] > min_bl) {
int pp = P[i-1]; // previous peak
int a = (idx_peak + 1) / min_bl;
int b = a * min_bl;
if (b != (idx_peak + 1)) { // border of division is in between peaks
if (b - pp > min_bl) { // border of division is too far from pp
// seraching for first possible new min_bl
for (int j = min_bl + 1; j <= max_bl; j++) {
a = (idx_peak + 1) / j;
b = a * j;
if (list_impossible_min.isEmpty() || !list_impossible_min.contains(j)) {
if (N % j == 0 && (b - pp <= j)) {
min_bl = j;
break;
}
}
}
}
}
for (int j = min_bl + 1; j <= B[idx_peak]; j++) {
a = (idx_peak + 1) / j;
b = a * j;
if (N % j != 0 || ((pp + j < idx_peak) && ( b*a-pp > j))) {
if (pp + j < idx_peak) {
if (list_impossible_min.isEmpty() || !list_impossible_min.contains(j)) {
list_impossible_min.add(j);
}
}
}
}
}
}
r = N / min_bl;
return r;
}
private void getMinMaxBl(int[] A, int[] B, int[] P, int[] min_max_ip) {
int N = A.length;
int f_peak = -1, l_peak = -1;
int iP = -1, min_bl = 0, max_bl = 0;
// detemine max_bl, min_bl
// first min_bl & max_bl
for (int i = 1; i < N - 1; i++) {
if (peak(A, i)) {
max_bl = i+1;
min_bl = i+1;
f_peak = i;
l_peak = i;
B[i] = i+1;
P[++iP] = i;
break;
}
}
if(f_peak > 0){
for(int i = f_peak+2; i < N-1; i++){
int t_max_block;
int t_min_block;
if (peak(A, i)) {
t_max_block = i - l_peak; // covers cells max empty space + 1 for peak
t_min_block = (t_max_block + 1)/2; // covers two peaks + space between
if((t_max_block+1)%2 != 0){
t_min_block++;
}
min_bl = max(min_bl, t_min_block);
max_bl = max(max_bl, t_max_block);
B[i] = t_max_block;
l_peak = i;
P[++iP] = i;
}
}
}
min_max_ip[0] = min_bl;
min_max_ip[1] = max_bl;
min_max_ip[2] = iP;
}
boolean peak(int[] A, int i) {
return A[i] > A[i - 1] && A[i] > A[i + 1];
}
Idea is to determine min and max size of possible block, then go through peaks and increase minimum size of the block if some peak is "out of the division". Additionally there is a list of forbidden value of sizes to avoid situation that increasing minimum size on one peak would negatively interfere with any of previous peaks.
It's very long in implementation, but intuitive, very fast && maybe original. Faster than widely published version with checking all the peaks in a loop of consecutive size of the block, if one don't use prefix sum for counting blocks. Of course 100% in Codility test.
Here is a code:
public int solution(int[] A) {
int r;
final int N = A.length;
int[] B = new int[N]; // space between peaks +1
int[] P = new int[N]; // peaks idxs
int iP; // max index of values in table P
int max_bl, min_bl;
List<Integer> list_impossible_min = new ArrayList<>();
int[] min_max_ip = new int[3]; // temporary storage for variables
// detemine B, P, iP, max_bl, min_bl
getMinMaxBl(A, B, P, min_max_ip);
min_bl = min_max_ip[0];
max_bl = min_max_ip[1];
iP = min_max_ip[2];
if(iP == -1){ // no peaks
return 0;
} else if(iP == 0){ // one peak
return 1;
}
// applaying last block size
int last_bl = N-1 -P[iP] + 1;
if( last_bl > min_bl){
min_bl = last_bl;}
if(last_bl > B[P[iP]]){
B[P[iP]] = last_bl;}
// applying condition of possible divide
while ((N % min_bl) != 0) {
min_bl++;}
while ((N % max_bl) != 0) {
max_bl++;}
for (int i = 1; i <= iP; i++) {
int idx_peak = P[i];
if (B[idx_peak] > min_bl) {
int pp = P[i-1]; // previous peak
int a = (idx_peak + 1) / min_bl;
int b = a * min_bl;
if (b != (idx_peak + 1)) { // border of division is in between peaks
if (b - pp > min_bl) { // border of division is too far from pp
// seraching for first possible new min_bl
for (int j = min_bl + 1; j <= max_bl; j++) {
a = (idx_peak + 1) / j;
b = a * j;
if (list_impossible_min.isEmpty() || !list_impossible_min.contains(j)) {
if (N % j == 0 && (b - pp <= j)) {
min_bl = j;
break;
}
}
}
}
}
for (int j = min_bl + 1; j <= B[idx_peak]; j++) {
a = (idx_peak + 1) / j;
b = a * j;
if (N % j != 0 || ((pp + j < idx_peak) && ( b*a-pp > j))) {
if (pp + j < idx_peak) {
if (list_impossible_min.isEmpty() || !list_impossible_min.contains(j)) {
list_impossible_min.add(j);
}
}
}
}
}
}
r = N / min_bl;
return r;
}
private void getMinMaxBl(int[] A, int[] B, int[] P, int[] min_max_ip) {
int N = A.length;
int f_peak = -1, l_peak = -1;
int iP = -1, min_bl = 0, max_bl = 0;
// detemine max_bl, min_bl
// first min_bl & max_bl
for (int i = 1; i < N - 1; i++) {
if (peak(A, i)) {
max_bl = i+1;
min_bl = i+1;
f_peak = i;
l_peak = i;
B[i] = i+1;
P[++iP] = i;
break;
}
}
if(f_peak > 0){
for(int i = f_peak+2; i < N-1; i++){
int t_max_block;
int t_min_block;
if (peak(A, i)) {
t_max_block = i - l_peak; // covers cells max empty space + 1 for peak
t_min_block = (t_max_block + 1)/2; // covers two peaks + space between
if((t_max_block+1)%2 != 0){
t_min_block++;
}
min_bl = max(min_bl, t_min_block);
max_bl = max(max_bl, t_max_block);
B[i] = t_max_block;
l_peak = i;
P[++iP] = i;
}
}
}
min_max_ip[0] = min_bl;
min_max_ip[1] = max_bl;
min_max_ip[2] = iP;
}
boolean peak(int[] A, int i) {
return A[i] > A[i - 1] && A[i] > A[i + 1];
}
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