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/*
Please see attachment for the sample program : It takes distribution
from stdin, and output to stdout(some information to stderr).
Probabilities don't need to sum up to 1. In the output, each article is
separated by an empty line; each word occupies a single line.
The job would be to write code that, given a probability distribution
over words, (in the form:
0.022 foo
0.015 bar
0.001 baz
...
) would produce 60 documents of 200 words each, where the words would
be sampled from the given distribution.
*/
#include <stdio.h>
#include <string.h>
#include <stdlib.h>
#include <assert.h>
#include <sys/stat.h>
#include <sys/types.h>
#include <fcntl.h>
#include <unistd.h>
#include <errno.h>
/* Defaults for command-line arguments. */
/* The number of documents to generate */
int ndocs = 100;
/* The number of words per document */
int nwords_per_doc = 20;
/* Prefix to each filename created */
const char *prefix = NULL;
/* Directory into which to place the documens. */
const char *dirname = NULL;
int noise_vocab_size = 0;
float noise_vocab_fraction = 0;
/* maximum number of words */
#define MAX 99999
struct {
float P;
char *w;
}word[MAX];
void
print_usage (const char *argv[])
{
fprintf (stderr, "usage: %s "
"[-d dirname] [-p prefix] [-l doclen] [-n ndocs]\n"
"[-v noisevocabsize] [-f noisevocabfrac] distfile\n"
" Will output NDOCS files each of length DOCLEN with"
" filenames having \n"
" PREFIX to directory DIRNAME.\n"
" With probability NOISEVOCABFRAC, instead of picking"
" a word from the\n"
" distribution specified by DISTFILE, a word will be chosen"
" uniformly \n"
" from one of NOISEVOCABSIZE noise-words\n"
, argv[0]);
}
int
main (int argc, const char *argv[])
{
int argi, N, i=0;
float x;
char s[256];
FILE *fp;
char docname[1024];
const char *distfile;
int e;
for (argi = 1; argi < argc; argi++)
{
if (argv[argi][0] != '-')
break;
switch (argv[argi][1])
{
case 'd':
dirname = argv[++argi];
break;
case 'p':
prefix = argv[++argi];
break;
case 'l':
nwords_per_doc = atoi (argv[++argi]);
break;
case 'n':
ndocs = atoi (argv[++argi]);
break;
case 'v':
noise_vocab_size = atoi (argv[++argi]);
break;
case 'f':
noise_vocab_fraction = atof (argv[++argi]);
break;
case '?':
case 'h':
print_usage (argv);
exit (0);
default:
fprintf (stderr, "%s: unrecognized option `%s'\n",
argv[0], argv[argi]);
print_usage (argv);
exit (-1);
}
}
distfile = argv[argi];
if (dirname && dirname[0] == '/')
fprintf (stderr, "Output to %s\n", dirname);
else
fprintf (stderr, "Output to ./%s\n", dirname);
/* mkdir (dirname, S_IRWXU | S_IRWXG | S_IRWXO); */
/* read in prob. distribution */
fp = fopen (distfile, "r");
while (i<MAX && fscanf(fp, "%f %s", &x, s)==2)
{
word[i].P = i==0? x : word[i-1].P+x;
word[i].w = (char *)malloc(strlen(s)+1);
strcpy(word[i].w, s);
i++;
}
fclose (fp);
if (i>=MAX)
{
printf("Error: number of words exceeds %d\n", MAX);
exit (-1);
}
N = i;
fprintf(stderr, "Cumulative Prob.=%f\n", word[N-1].P);
/* Create the directory if necessary */
e = mkdir (dirname, 0777);
if (e != 0 && errno != EEXIST)
{
fprintf (stderr, "Error creating directory `%s'\n", dirname);
perror ("dice");
exit (-1);
}
/* generate documents */
for (i = 0; i < ndocs; i++)
{
/* each with NWORDS_PER_DOC words */
int j;
if (prefix)
sprintf (docname, "%s/%s%05d", dirname, prefix, i);
else
sprintf (docname, "%s/%05d", dirname, i);
fp = fopen (docname, "w");
assert (fp);
for (j=0; j<nwords_per_doc; j++)
{
if (noise_vocab_fraction
&& rand()/(float)RAND_MAX > noise_vocab_fraction)
{
int wn = rand () % noise_vocab_size;
fprintf (fp, "noise");
/* Convert number WN into alphabetics */
while (wn)
{
fprintf (fp, "%c", 'a' + wn % 10);
wn /= 10;
}
fprintf (fp, "\n");
}
else
{
float r= rand()/(float)RAND_MAX * word[N-1].P;
int k=0;
while (word[k].P<r) k++;
fprintf(fp, "%s\n", word[k].w);
}
}
fprintf (fp, "\n");
fclose (fp);
}
exit (0);
}
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