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Memory-efficient median calculation
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#include <stdlib.h> | |
#include <stdio.h> | |
#include <fcntl.h> | |
#include <string.h> | |
#include <sys/mman.h> | |
#include <sys/stat.h> | |
/** | |
* Median calculation | |
* This program takes an input file with one number per line and calculates mean and median. | |
* There is also an option to skip K first lines | |
* The input file is memory-mapped and we use an on-line algorithm to calculate the median. | |
* Thus, there is no need to sort the complete array. This is convenient for large inputs. | |
* The algorithm is by Torben Mogensen, with the discussion available here: | |
* http://ndevilla.free.fr/median/median/index.html | |
* | |
* USAGE: | |
* gcc median.c -o median | |
* ./median LARGE_INPUT_FILE <LINES_TO_SKIP> | |
* | |
* AUTHORS: | |
* Ivan Kryukov | |
* N. Devillard | |
* Torben Mogensen | |
* | |
*/ | |
unsigned long file_size(int fd) | |
{ | |
struct stat s; | |
int status = fstat(fd, &s); | |
return s.st_size; | |
} | |
float get_number (char *data, unsigned long i, unsigned long c) | |
{ | |
size_t chunk_size = i - c; | |
char chunk [chunk_size]; | |
chunk[chunk_size] = '\0'; | |
memcpy(chunk, &data[c], chunk_size); | |
return atof(chunk); | |
} | |
int main(int argc, char const *argv[]) | |
{ | |
//Open file for reading - no error checking | |
int fd = open (argv[1], O_RDONLY); | |
//Initialize bytes to the file size | |
unsigned long bytes = file_size(fd); | |
printf("File size: %lu\n", bytes); | |
//Memory-map the file | |
char *data = (char *) mmap (0, bytes, PROT_READ, MAP_PRIVATE, fd, 0); | |
printf("Memory-mapped the file\n"); | |
unsigned long i, less, greater, equal, c = 0; | |
//Number of lines | |
unsigned long N = 1; | |
//Median calculation variables | |
float min, max, guess, maxltguess, mingtguess, median; | |
float sum = 0; | |
//Skip argv[2] first lines | |
if (argv[2]) { | |
int k; | |
for (k = 0; k < atoi(argv[2]); ++k) { | |
i = strchr(data, '\n') - data; | |
data += i+1; | |
} | |
} | |
//Get the first element of the file | |
i = strchr(data,'\n') - data; | |
float zeroth = get_number(data,i,0); | |
min = zeroth; | |
max = zeroth; | |
c = i + 1; | |
printf("Looking for min and max\n"); | |
for (i = c; i <= bytes; i++) { | |
if (data[i] == '\n' || i == bytes) { //here we want end of line or one past the end of file (last element) | |
float n = get_number(data,i,c); | |
sum += n; | |
//Find min | |
if (n < min) { | |
min = n; | |
} | |
//Find max | |
if (n > max) { | |
max = n; | |
} | |
//advance pointer | |
c = i+1; | |
//Line count | |
N++; | |
} | |
} | |
//Calculate mean | |
float mean = sum / (float)(N); | |
//Print summary statistics | |
printf("min: %f, max: %f, data points: %lu\n", min, max, N); | |
printf("Mean: %f\n", mean); | |
/* | |
* The following code is public domain. | |
* Algorithm by Torben Mogensen, implementation by N. Devillard, modified for mmap by iK. | |
* This code in public domain. | |
* http://ndevilla.free.fr/median/median/index.html | |
*/ | |
printf("Looking for median\n"); | |
while (1) { | |
guess = (min+max)/2; | |
less = 0; greater = 0; equal = 0; | |
maxltguess = min; | |
mingtguess = max; | |
c = 0; | |
for (i = 0; i <= bytes; i++) { | |
if (data[i] == '\n' || i == bytes) { | |
float n = get_number(data,i,c); | |
if (n < guess) { | |
less++; | |
if (n > maxltguess) { | |
maxltguess = n; | |
} | |
} else if (n > guess) { | |
greater++; | |
if (n < mingtguess) { | |
mingtguess = n; | |
} | |
} else { | |
equal++; | |
} | |
c = i + 1; | |
} | |
} | |
if (less <= (N+1)/2 && greater <= (N+1)/2) { | |
break; | |
} | |
else if (less>greater) { | |
max = maxltguess; | |
} | |
else { | |
min = mingtguess; | |
} | |
} | |
if (less >= (N+1)/2) { | |
median = maxltguess; | |
} | |
else if (less+equal >= (N+1)/2) { | |
median = guess; | |
} | |
else { | |
median = mingtguess; | |
} | |
printf("Median: %f\n",median); | |
munmap(data,N); | |
return 0; | |
} |
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