No puedo leer memoria compartida
Publicado por backgor (2 intervenciones) el 07/12/2018 04:52:57
como compilo en opn sco o que libreria uso?
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#include <unistd.h>
#include <sys/types.h>
#include <sys/ipc.h>
#include <sys/shm.h>
#include <stdio.h>
#include <string.h>
#include <stdlib.h>
#include <math.h>
#include <time.h>
#define SHMSZ 27
#define MAX_SAMPLES 100
#define MAX_SAMPLES_THETA 50
#define DIST 10
#define PI 3.14159265
/* ranf() is uniform in 0..1 */float box_muller(float m, float s); /* normal random variate generator */
int main()
{char c;
int shmidd,shmidt; key_t keyd,keyt;char *shmd, *shmt;
int i,j;float distances[MAX_SAMPLES];
float angles[MAX_SAMPLES_THETA];
float anglesD[MAX_SAMPLES];
float mu,sigma,delta_theta;
struct timespec tim, tim2;tim.tv_sec = 1;
tim.tv_nsec = 0;
keyd = 1234;if ((shmidd = shmget(keyd, SHMSZ, IPC_CREAT | 0666)) < 0) {
perror("shmget");
return(1);
}if ((shmd = shmat(shmidd, NULL, 0)) == (char *) -1) {
perror("shmat");
return(1);
} keyt = 5678;if ((shmidt = shmget(keyt, SHMSZ, IPC_CREAT | 0666)) < 0) {
perror("shmget");
return(1);
}if ((shmt = shmat(shmidt, NULL, 0)) == (char *) -1) {
perror("shmat");
return(1);
} mu=0; sigma=25;sleep(3);
for(i=0;i<MAX_SAMPLES_THETA;i++)
{angles[i]=box_muller(mu,sigma);
}j=-1;
for(i=0;i<MAX_SAMPLES_THETA-1;i++)
{if (j++<MAX_SAMPLES) anglesD[j]=angles[i];
if (j++<MAX_SAMPLES){
delta_theta=abs(angles[i+1]-angles[i])/2;
if (angles[i+1]>angles[i])
anglesD[j]= angles[i]+delta_theta;
else
anglesD[j]= angles[i]-delta_theta;
} }for(i=0;i<j;i++){
distances[i]=DIST/cos(anglesD[i]/180*PI);
}for(i=0;i<j;i++){
if(nanosleep(&tim , &tim2) < 0 ) {
printf("Nano sleep failed \n");
return -1; }sprintf(shmd,"%f",distances[i]);
if (i%2==0){
sprintf(shmt,"%f",anglesD[i]);
}else{
strcpy(shmt,"--");
} }return(0);
}float box_muller(float m, float s) /* normal random variate generator */
{ /* mean m, standard deviation s */
float x1, x2, w, y1;
static float y2;
static int use_last = 0;if (use_last) /* use value from previous call */
{ y1 = y2; use_last = 0; }else
{ do {x1 = 2.0 * ((double)(rand())/RAND_MAX)- 1.0;
x2 = 2.0 * ((double)(rand())/RAND_MAX) - 1.0;
w = x1 * x1 + x2 * x2;
} while ( w >= 1.0 );
w = sqrt( (-2.0 * log( w ) ) / w );
y1 = x1 * w;
y2 = x2 * w;
use_last = 1; }return( m + y1 * s );
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