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#include <stdio.h>
#include <string.h>
#include <stdlib.h>
char token[1024];
double mat[4096][4096];
int main() {
FILE *fout = fopen("converted.nerv", "w");
int cnt = 0;
while (scanf("%s", token) != EOF)
{
int nrow, ncol;
int i, j;
if (strcmp(token, "<biasedlinearity>") == 0)
{
scanf("%d %d", &ncol, &nrow);
scanf("%s %d %d", token, &ncol, &nrow);
printf("%d %d\n", nrow, ncol);
for (j = 0; j < ncol; j++)
for (i = 0; i < nrow; i++)
scanf("%lf", mat[i] + j);
off_t base = ftello(fout);
fprintf(fout, "%16d", 0);
fprintf(fout, "{type=\"nerv.LinearTransParam\",id=\"affine%d_ltp\"}\n",
cnt);
fprintf(fout, "%d %d\n", nrow, ncol);
for (i = 0; i < nrow; i++)
{
for (j = 0; j < ncol; j++)
fprintf(fout, "%.8f ", mat[i][j]);
fprintf(fout, "\n");
}
size_t length = ftello(fout) - base;
fseeko(fout, base, SEEK_SET);
fprintf(fout, "[%13lu]\n", length);
fseeko(fout, 0, SEEK_END);
if (scanf("%s %d", token, &ncol) == 2 && *token == 'v')
{
base = ftello(fout);
for (j = 0; j < ncol; j++)
scanf("%lf", mat[0] + j);
fprintf(fout, "%16d", 0);
fprintf(fout, "{type=\"nerv.BiasParam\",id=\"affine%d_bp\"}\n",
cnt);
fprintf(fout, "1 %d\n", ncol);
for (j = 0; j < ncol; j++)
fprintf(fout, "%.8f ", mat[0][j]);
fprintf(fout, "\n");
length = ftello(fout) - base;
fseeko(fout, base, SEEK_SET);
fprintf(fout, "[%13lu]\n", length);
cnt++;
fseeko(fout, 0, SEEK_END);
}
}
}
return 0;
}
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