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#include <cstdio>
#include <fstream>
#include <string>
#include <cstring>
char token[1024];
char output[1024];
double mat[4096][4096];
int main() {
std::ofstream fout;
fout.open("converted.nerv");
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);
long base = fout.tellp();
sprintf(output, "%16d", 0);
fout << output;
sprintf(output, "{type=\"nerv.LinearTransParam\",id=\"affine%d_ltp\"}\n",
cnt);
fout << output;
sprintf(output, "%d %d\n", nrow, ncol);
fout << output;
for (i = 0; i < nrow; i++)
{
for (j = 0; j < ncol; j++)
fout << mat[i][j] << " ";
fout << std::endl;
}
long length = fout.tellp() - base;
fout.seekp(base);
sprintf(output, "[%13lu]\n", length);
fout << output;
fout.seekp(0, std::ios_base::end);
if (scanf("%s %d", token, &ncol) == 2 && *token == 'v')
{
base = fout.tellp();
for (j = 0; j < ncol; j++)
scanf("%lf", mat[0] + j);
sprintf(output, "%16d", 0);
fout << output;
sprintf(output, "{type=\"nerv.BiasParam\",id=\"affine%d_bp\"}\n",
cnt);
fout << output;
sprintf(output, "1 %d\n", ncol);
fout << output;
for (j = 0; j < ncol; j++)
fout << mat[0][j] << " ";
fout << std::endl;
length = fout.tellp() - base;
fout.seekp(base);
sprintf(output, "[%13lu]\n", length);
fout << output;
fout.seekp(0, std::ios_base::end);
cnt++;
}
}
}
return 0;
}
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