No output for long long int variables - c

Here is a code snippet:
unsigned int m,n,a;
long long int c,p=0,q=0;
scanf("%u%u%u",&m,&n,&a);
while(m>0){
m-=a;
p++;
}
while(n>0){
n-=a;
q++;
}
c=p*q;
printf("%lld",c);
The above code does not work for any input. That is, it seems like it has crashed,though I could not understand where I'm mistaken. I guess the part with %lld in the printf has problems. But Ido not know how to fix it. I'm using code blocks.
Some expected outputs for corresponding inputs are as follows:
Input: 6 6 4
Output: 4
Input: 1000000000 1000000000 1
Output: 1000000000000000000(10^18).
APPEND:
So, I'm giving the link of the main problem below. The logic of my code seemed correct to me.
https://codeforces.com/contest/1/problem/A

As it's been pointed out in comments/answers the problem is that m and n is unsigned so your loops can only stop if m and n are a multiple of a.
If you look at the input 6 6 4 (i.e. m=6 and a=4), you can see that m first will change like m = 6 - 4 which leads to m being 2. So in the next loop m will change like m = 2 - 4 which should be -2 but since m is unsigned it will wrap to a very high positive number (i.e. UINT_MAX-1) and the loop will continue. That's not what you want.
To fix it I'll suggest you drop the while loops and simply do:
unsigned int m,n,a;
long long unsigned int c,p=0,q=0;
scanf("%u%u%u",&m,&n,&a);
p = (m + a - 1)/a; // Replaces first while
q = (n + a - 1)/a; // Replaces second while
c=p*q;
printf("%lld",c);
One problem with this solution is that the sum (m + a - 1) may overflow (i.e. be greater than UINT_MAX) and therefore give wrong results. You can fix that by adding an overflow check before doing the sum.
Another way to protect against overflow could be:
p = 1; // Start with p=1 to handle m <= a
if (m > a)
{
m -= a; // Compensate for the p = 1 and at the same time
// ensure that overflow won't happen in the next line
p += (m + a - 1)/a;
}
This code can then be reduced to:
p = 1;
if (m > a)
{
p += (m - 1)/a;
}

while(m>0){
m-=a;
p++;
}
will run until m is equal to 0, since it cannot be negative because it is unsigned. So if m is 4 and a is 6, then m will underflow and get the maximum value that m can hold minus 2. You should change the input variables to signed.
4386427 shows how you can use math to remove the loops completely, but for the more general case, you can do like this:
while(m > a) {
m-=a;
p++;
}
// The above loop will run one iteration less
m-=a;
p++;
Of course, you need to do the same thing for the second loop.
Another thing, check return value of scanf:
if(scanf("%u%u%u",&m,&n,&a) != 3) {
/* Handle error */
}

Using an unsigned type isn't always the best choice to represent positive values, expecially when its modular behavior is not needed (and maybe forgotten, which leads to "unexpected" bugs). OP's use case requires an integral type capable of store a value of maximum 109, which is inside the range of a 32-bit signed integer (a long int to be sure).
As 4386427's answer shows, the while loops in OP's code may (and should) be avoided anyways, unless a "brute force" solution is somehow required (which is unlikely the case, given the origin of the question).
I'd use a function, though:
#include <stdio.h>
// Given 1 <= x, a <= 10^9
long long int min_n_of_tiles_to_pave_an_edge(long int x, long int a)
{
if ( x > a ) {
// Note that the calculation is performed with 'long' values and only after
// the result is casted to 'long long', when it is returned
return 1L + (x - 1L) / a;
}
else {
return 1LL;
}
}
int main(void)
{
// Given a maximum value of 10^9, a 32-bit int would be enough.
// A 'long int' (or 'long') is guaranteed to be capable of containing at
// least the [−2,147,483,647, +2,147,483,647] range.
long int m, n, a;
while ( scanf("%ld%ld%ld", &m, &n, &a) == 3 )
{
// The product of two long ints may be too big to fit inside a long.
// To be sure, performe the multiplication using a 'long long' type.
// Note that the factors are stored in the bigger type, not only the
// result.
long long int c = min_n_of_tiles_to_pave_an_edge(m, a)
* min_n_of_tiles_to_pave_an_edge(n, a);
printf("%lld\n",c);
}
}

Related

Why does a high-value input prevent an array from using the actual input value in C?

I'm making a function that takes a value using scanf_s and converts that into a binary value. The function works perfectly... until I put in a really high value.
I'm also doing this on VS 2019 in x64 in C
And in case it matters, I'm using
main(int argc, char* argv[])
for the main function.
Since I'm not sure what on earth is happening, here's the whole code I guess.
BinaryGet()
{
// Declaring lots of stuff
int x, y, z, d, b, c;
int counter = 0;
int doubler = 1;
int getb;
int binarray[2000] = { 0 };
// I only have to change things to 1 now, am't I smart?
int binappend[2000] = { 0 };
// Get number
printf("Gimme a number\n");
scanf_s("%d", &getb);
// Because why not
printf("\n");
// Get the amount of binary places to be used (how many times getb divides by 2)
x = getb;
while (x > 1)
{
d = x;
counter += 1;
// Tried x /= 2, gave me infinity loop ;(
x = d / 2;
}
// Fill the array with binary values (i.e. 1, 2, 4, 8, 16, 32, etc)
for (b = 1; b <= counter; b++)
{
binarray[b] = doubler * 2;
doubler *= 2;
}
// Compare the value of getb to binary values, subtract and repeat until getb = 0)
c = getb;
for (y = counter; c >= 1; y--)
{
// Printing c at each subtraction
printf("\n%d\n", c);
// If the value of c (a temp variable) compares right to the binary value, subtract that binary value
// and put a 1 in that spot in binappend, the 1 and 0 list
if (c >= binarray[y])
{
c -= binarray[y];
binappend[y] += 1;
}
// Prevents buffer under? runs
if (y <= 0)
{
break;
}
}
// Print the result
for (z = 0; z <= counter; z++)
{
printf("%d", binappend[z]);
}
}
The problem is that when I put in the value 999999999999999999 (18 digits) it just prints 0 once and ends the function. The value of the digits doesn't matter though, 18 ones will have the same result.
However, when I put in 17 digits, it gives me this:
99999999999999999
// This is the input value after each subtraction
1569325055
495583231
495583231
227147775
92930047
25821183
25821183
9043967
655359
655359
655359
655359
131071
131071
131071
65535
32767
16383
8191
4095
2047
1023
511
255
127
63
31
15
7
3
1
// This is the binary
1111111111111111100100011011101
The binary value it gives me is 31 digits. I thought that it was weird that at 32, a convenient number, it gimps out, so I put in the value of the 32nd binary place minus 1 (2,147,483,647) and it worked. But adding 1 to that gives me 0.
Changing the type of array (unsigned int and long) didn't change this. Neither did changing the value in the brackets of the arrays. I tried searching to see if it's a limit of scanf_s, but found nothing.
I know for sure (I think) it's not the arrays, but probably something dumb I'm doing with the function. Can anyone help please? I'll give you a long-distance high five.
The problem is indeed related to the power-of-two size of the number you've noticed, but it's in this call:
scanf_s("%d", &getb);
The %d argument means it is reading into a signed integer, which on your platform is probably 32 bits, and since it's signed it means it can go up to 2³¹-1 in the positive direction.
The conversion specifiers used by scanf() and related functions can accept larger sizes of data types though. For example %ld will accept a long int, and %lld will accept a long long int. Check the data type sizes for your platform, because a long int and an int might actually be the same size (32 bits) eg. on Windows.
So if you use %lld instead, you should be able to read larger numbers, up to the range of a long long int, but make sure you change the target (getb) to match! Also if you're not interested in negative numbers, let the type system help you out and use an unsigned type: %llu for an unsigned long long.
Some details:
If scanf or its friends fail, the value in getb is indeterminate ie. uninitialised, and reading from it is undefined behaviour (UB). UB is an extremely common source of bugs in C, and you want to avoid it. Make sure your code only reads from getb if scanf tells you it worked.
In fact, in general it is not possible to avoid UB with scanf unless you're in complete control of the input (eg. you wrote it out previously with some other, bug free, software). While you can check the return value of scanf and related functions (it will return the number of fields it converts), its behaviour is undefined if, say, a field is too large to fit into the data type you have for it.
There's a lot more detail on scanf etc. here.
To avoid problems with not knowing what size an int is, or if a long int is different on this platform or that, there is also the header stdint.h which defines integer types of a specific width eg. int64_t. These also have macros for use with scanf() like SCNd64. These are available from C99 onwards, but note that Windows' support of C99 in its compilers is incomplete and may not include this.
Don't be so hard on yourself, you're not dumb, C is a hard language to master and doesn't follow modern idioms that have developed since it was first designed.

How can I concatenate an integer with desired times in C?

I want to write a function like this:
int number_maker(int n, int k)
{
if(k==1)
return n;
else
{
int x = 10;
while(n >= x)
x *= 10;
return (n*x) + number_maker(n,k-1) ;
}
}
For an example, let's say my number is 350. I want to make it based on
a repeated parameter. I can make it 350350 but when it comes to more repetitions like 3 or 4 times, it goes wrong.
I can't use standard C functions.
Your program is trying to store a number greater than INT_MAX in an int, which results in an overflow during conversion. Even if you modify your function to have a size_t return type, that will only get you so far. The only way to be sure that your program produces accurate output is to store the concatenated integer as a char* and return that, instead.
While it is possible to repeat any three digit repetition in a 32-bit int, three times, it is not possible to fit four repetitions as only all 9 digit decimal integers can be represented.
Your problem with three repetitions is because on each recursion x is always 1000 (for a three digit n), whereas you actually need it to be 1000000 on the second recursion. Solving that is somewhat cumbersome, but you need to pass x into the number_maker thus:
int number_maker(int n, int k, int x) // <<< additional parameter
{
if(k==1)
return n;
else
{
int xx = x ; // <<< added
while(n * xx >= x) // <<< modified
x *= 10;
return (n*x) + number_maker(n,k-1, x) ;
}
}
Then a call such as:
printf("%d", number_maker( 350, 3, 1 ) );
will work. It is cumbersome because you have to pass an initial x value, and that can only be 1. In C++ you could use an default argument to hide that.
It will not work however for 4 repetitions or a three digit decimal integer.
That said:
printf("%d", number_maker( 1, 9, 1 ) );
printf("%d", number_maker( 9, 9, 1 ) );
work ok. You can get away with 10 repetitions only for n==1.
printf("%d", number_maker( 1, 10, 1 ) );
Essentially it works for all 9 digit results and (less usefully) some 10 digit results.
Using unsigned integers would increase the number of 10 digit results that could be represented, but that is not particularly useful perhaps.

C code keeps running forever*

I am trying to find the largest prime factor of a huge number in C ,for small numbers like 100 or even 10000 it works fine but fails (By fail i mean it keeps running and running for tens of minutes on my core2duo and i5) for very big target numbers (See code for the target number.)
Is my algorithm correct?
I am new to C and really struggling with big numbers. What i want is correction or guidance not a solution i can do this using python with bignum bindings and stuff (I have not tried yet but am pretty sure) but not in C. Or i might have done some tiny mistake that i am too tired to realize , anyways here is the code i wrote:
#include <stdio.h>
// To find largest prime factor of target
int is_prime(unsigned long long int num);
long int main(void) {
unsigned long long int target = 600851475143;
unsigned long long int current_factor = 1;
register unsigned long long int i = 2;
while (i < target) {
if ( (target % i) == 0 && is_prime(i) && (i > current_factor) ) { //verify i as a prime factor and greater than last factor
current_factor = i;
}
i++;
}
printf("The greates is: %llu \n",current_factor);
return(0);
}
int is_prime (unsigned long long int num) { //if num is prime 1 else 0
unsigned long long int z = 2;
while (num > z && z !=num) {
if ((num % z) == 0) {return 0;}
z++;
}
return 1;
}
600 billion iterations of anything will take some non-trivial amount of time. You need to substantially reduce this.
Here's a hint: Given an arbitrary integer value x, if we discover that y is a factor, then we've implicitly discovered that x / y is also a factor. In other words, factors always come in pairs. So there's a limit to how far we need to iterate before we're doing redundant work.
What is that limit? Well, what's the crossover point where y will be greater than x / y?
Once you've applied this optimisation to the outer loop, you'll find that your code's runtime will be limited by the is_prime function. But of course, you may apply a similar technique to that too.
By iterating until the square root of the number, we can get all of it's factors.( factor and N/factor and factor<=sqrt(N)). Under this small idea the solution exists. Any factor less than the sqrt(N) we check, will have corresponding factor larger than sqrt(N). So we only need to check up to the sqrt(N), and then we can get the remaining factors.
Here you don't need to use explicitly any prime finding algorithm. The factorization logic itself will deduce whether the target is prime or not. So all that is left is to check the pairwise factors.
unsigned long long ans ;
for(unsigned long long i = 2; i<=target/i; i++)
while(target % i == 0){
ans = i;
target/=i;
}
if( target > 1 ) ans = target; // that means target is a prime.
//print ans
Edit: A point to be added (chux)- i*i in the earlier code is may lead to overflow which can be avoided if we use i<=target/i.
Also another choice would be to have
unsigned long long sqaure_root = isqrt(target);
for(unsigned long long i = 2; i<=square_root; i++){
...
}
Here note than use of sqrt is not a wise choice since -
mixing of double math with an integer operation is prone to round-off errors.
For target given the answer will be 6857.
Code has 2 major problems
The while (i < target) loop is very inefficient. Upon finding a factor, target could be reduced to target = target / i;. Further, a factor i could occur multiple times. Fix not shown.
is_prime(n) is very inefficient. Its while (num > z && z !=num) could loop n time. Here too, use the quotient to limit the iterations to sqrt(n) times.
int is_prime (unsigned long long int num) {
unsigned long long int z = 2;
while (z <= num/z) {
if ((num % z) == 0) return 0;
z++;
}
return num > 1;
}
Nothing is wrong, it just needs optimization, for example:
int is_prime(unsigned long long int num) {
if (num == 2) {
return (1); /* Special case */
}
if (num % 2 == 0 || num <= 1) {
return (0);
}
unsigned long long int z = 3; /* We skipped the all even numbers */
while (z < num) { /* Do a single test instead of your redundant ones */
if ((num % z) == 0) {
return 0;
}
z += 2; /* Here we go twice as fast */
}
return 1;
}
Also the big other problem is while (z < num) but since you don't want the solution i let you find how to optimize that, similarly look out by yourself the first function.
EDIT: Someone else posted 50 seconds before me the array-list of primes solution which is the best but i chose to give an easy solution since you are just a beginner and manipulating arrays may not be easy at first (need to learn pointers and stuff).
is_prime has a chicken-and-egg problem in that you need to test num only against other primes. So you don't need to check against 9 because that is a multiple of 3.
is_prime could maintain an array of primes and each time a new num is tested that is a pime, it can be added to the array. num isr tested against each prime in the array and if it is not divisable by any of the primes in the array, it is itself a prime and is added to the array. The aray needs to be malloc'd and relloc'd unless there is a formue to calculate the number of primes up intil your target (I believe such formula does not exist).
EDIT: the number of primes to test for the target 600,851,475,143 will be approximately 7,500,000,000 and the table could run out of memory.
The approach can be adapted as follows:
to use unsiged int up until primes of UINT_max
to use unsigned long long int for primes above that
to use brute force above a certain memory consumption.
UINT_MAX is defined as 4,294,967,295 and would cover the primes up to around 100,000,000,000 and would cost 7.5*4= 30Gb
See also The Prime Pages.

How can you easily calculate the square root of an unsigned long long in C?

I was looking at another question (here) where someone was looking for a way to get the square root of a 64 bit integer in x86 assembly.
This turns out to be very simple. The solution is to convert to a floating point number, calculate the sqrt and then convert back.
I need to do something very similar in C however when I look into equivalents I'm getting a little stuck. I can only find a sqrt function which takes in doubles. Doubles do not have the precision to store large 64bit integers without introducing significant rounding error.
Is there a common math library that I can use which has a long double sqrt function?
There is no need for long double; the square root can be calculated with double (if it is IEEE-754 64-bit binary). The rounding error in converting a 64-bit integer to double is nearly irrelevant in this problem.
The rounding error is at most one part in 253. This causes an error in the square root of at most one part in 254. The sqrt itself has a rounding error of less than one part in 253, due to rounding the mathematical result to the double format. The sum of these errors is tiny; the largest possible square root of a 64-bit integer (rounded to 53 bits) is 232, so an error of three parts in 254 is less than .00000072.
For a uint64_t x, consider sqrt(x). We know this value is within .00000072 of the exact square root of x, but we do not know its direction. If we adjust it to sqrt(x) - 0x1p-20, then we know we have a value that is less than, but very close to, the square root of x.
Then this code calculates the square root of x, truncated to an integer, provided the operations conform to IEEE 754:
uint64_t y = sqrt(x) - 0x1p-20;
if (2*y < x - y*y)
++y;
(2*y < x - y*y is equivalent to (y+1)*(y+1) <= x except that it avoids wrapping the 64-bit integer if y+1 is 232.)
Function sqrtl(), taking a long double, is part of C99.
Note that your compilation platform does not have to implement long double as 80-bit extended-precision. It is only required to be as wide as double, and Visual Studio implements is as a plain double. GCC and Clang do compile long double to 80-bit extended-precision on Intel processors.
Yes, the standard library has sqrtl() (since C99).
If you only want to calculate sqrt for integers, using divide and conquer should find the result in max 32 iterations:
uint64_t mysqrt (uint64_t a)
{
uint64_t min=0;
//uint64_t max=1<<32;
uint64_t max=((uint64_t) 1) << 32; //chux' bugfix
while(1)
{
if (max <= 1 + min)
return min;
uint64_t sqt = min + (max - min)/2;
uint64_t sq = sqt*sqt;
if (sq == a)
return sqt;
if (sq > a)
max = sqt;
else
min = sqt;
}
Debugging is left as exercise for the reader.
Here we collect several observations in order to arrive to a solution:
In standard C >= 1999, it is garanted that non-netative integers have a representation in bits as one would expected for any base-2 number.
----> Hence, we can trust in bit manipulation of this type of numbers.
If x is a unsigned integer type, tnen x >> 1 == x / 2 and x << 1 == x * 2.
(!) But: It is very probable that bit operations shall be done faster than their arithmetical counterparts.
sqrt(x) is mathematically equivalent to exp(log(x)/2.0).
If we consider truncated logarithms and base-2 exponential for integers, we could obtain a fair estimate: IntExp2( IntLog2(x) / 2) "==" IntSqrtDn(x), where "=" is informal notation meaning almost equatl to (in the sense of a good approximation).
If we write IntExp2( IntLog2(x) / 2 + 1) "==" IntSqrtUp(x), we obtain an "above" approximation for the integer square root.
The approximations obtained in (4.) and (5.) are a little rough (they enclose the true value of sqrt(x) between two consecutive powers of 2), but they could be a very well starting point for any algorithm that searchs for the square roor of x.
The Newton algorithm for square root could be work well for integers, if we have a good first approximation to the real solution.
http://en.wikipedia.org/wiki/Integer_square_root
The final algorithm needs some mathematical comprobations to be plenty sure that always work properly, but I will not do it right now... I will show you the final program, instead:
#include <stdio.h> /* For printf()... */
#include <stdint.h> /* For uintmax_t... */
#include <math.h> /* For sqrt() .... */
int IntLog2(uintmax_t n) {
if (n == 0) return -1; /* Error */
int L;
for (L = 0; n >>= 1; L++)
;
return L; /* It takes < 64 steps for long long */
}
uintmax_t IntExp2(int n) {
if (n < 0)
return 0; /* Error */
uintmax_t E;
for (E = 1; n-- > 0; E <<= 1)
;
return E; /* It takes < 64 steps for long long */
}
uintmax_t IntSqrtDn(uintmax_t n) { return IntExp2(IntLog2(n) / 2); }
uintmax_t IntSqrtUp(uintmax_t n) { return IntExp2(IntLog2(n) / 2 + 1); }
int main(void) {
uintmax_t N = 947612934; /* Try here your number! */
uintmax_t sqrtn = IntSqrtDn(N), /* 1st approx. to sqrt(N) by below */
sqrtn0 = IntSqrtUp(N); /* 1st approx. to sqrt(N) by above */
/* The following means while( abs(sqrt-sqrt0) > 1) { stuff... } */
/* However, we take care of subtractions on unsigned arithmetic, just in case... */
while ( (sqrtn > sqrtn0 + 1) || (sqrtn0 > sqrtn+1) )
sqrtn0 = sqrtn, sqrtn = (sqrtn0 + N/sqrtn0) / 2; /* Newton iteration */
printf("N==%llu, sqrt(N)==%g, IntSqrtDn(N)==%llu, IntSqrtUp(N)==%llu, sqrtn==%llu, sqrtn*sqrtn==%llu\n\n",
N, sqrt(N), IntSqrtDn(N), IntSqrtUp(N), sqrtn, sqrtn*sqrtn);
return 0;
}
The last value stored in sqrtn is the integer square root of N.
The last line of the program just shows all the values, with comprobation purposes.
So, you can try different values of Nand see what happens.
If we add a counter inside the while-loop, we'll see that no more than a few iterations happen.
Remark: It is necessary to verify that the condition abs(sqrtn-sqrtn0)<=1 is always achieved when working in the integer-number setting. If not, we shall have to fix the algorithm.
Remark2: In the initialization sentences, observe that sqrtn0 == sqrtn * 2 == sqrtn << 1. This avoids us some calculations.
// sqrt_i64 returns the integer square root of v.
int64_t sqrt_i64(int64_t v) {
uint64_t q = 0, b = 1, r = v;
for( b <<= 62; b > 0 && b > r; b >>= 2);
while( b > 0 ) {
uint64_t t = q + b;
q >>= 1;
if( r >= t ) {
r -= t;
q += b;
}
b >>= 2;
}
return q;
}
The for loop may be optimized by using the clz machine code instruction.

handling large numbers and overflows

I am given an array of N elements and I need to find the index P within this array where
sum of values in the rage 0 to P is equal to sum of values in the range P+1 to N-1.
The values of each element in the array can range to -2147483648 to 2147483647 and
N can be max 10000000.
Given this how do I ensure there is no overflow when adding each values to find the index P ?
To insure no overflow, use int32_t and int64_t.
The range of values [-2147483648 ... 2147483647] matches the int32_t range. You could also use int64_t for this, but an array of 10000000 deserves space considerations.
As the sum of any 10,000,000 values does not exceed the range of int64_t, perform all your additions using int64_t.
#include <stdint.h>
size_t foo(const int32_t *value, size_t N) {
int64_t sum = 0;
...
sum += value[i];
...
}
BTW: Confident that a solution can be had that does not require addition 64-bit addition.
[Edit] Failed to derive simple int32_t only solution, but came up with:
size_t HalfSum(const int32_t *value, size_t N) {
// find sum of entire array
int64_t ArraySum = 0;
size_t P;
for (P = 0; P < N; P++) {
ArraySum += value[P];
}
// compute sum again, stopping when it is half of total
int64_t PartialSum = 0;
for (P = 0; P < N; P++) {
PartialSum += value[P];
if ((PartialSum * 2) == ArraySum) {
return P;
}
}
return N; // No solution (normally P should be 0 ... N-1)
}
Use 64 bit integers for your calculations. The best type to use is int64_t since long is no guaranteed to be 64 bits (you have to #include <stdint.h> to make it available).
Edit: Pascal Cuoq is right: long long does provide the 64-bit guarantee as well and doesn't need an include (it can be longer than 64 bits, though), so it's just the long type that you have to avoid if you want to be portable.
In the worst case scenario, P+1 = N-1. Since the max value of an ynumber can only be 2147483647 or -2147483647 for any single number, It means that in the worst cases possible, P would be the max or min of long. In the other cases, P will still be a long integer. Because of this, you should only need to use a long in the worst case scenario (since if your worse case expected outcome is that P is the largest possible number that any single number can be is a long.
To make sure you don't have to use anything larger, pair up negative values with postive ones so that you stay below the overflow of a long.
Imagine we have 3 numbers, a b and c. If a + b overflows the long datatype, we know that c will not be P.
Now imagine that we have 4 numbers, a, b, c, d such that a + b + c = d (meaning d is P), if a + b would overflow long, it means
1) c cannot be P
2) there is a combination of a + b + c such that the data type of long would not need to be overflowed.
For instance, a is max long, b is max long, c is min long, and d is 0, then a + c + b = d would be the correct combination of operations in order to not use a data type larger than long, and we can try a + c because we know c cannot be P since a + b would overflow long > maximum possible value of P.

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