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#include <cstdio>
#include <fstream>
#include <string>
#include <cstring>
#include <cassert>
char token[1024];
char output[1024];
double mat[4096][4096];
int main(int argc, char **argv) {
std::ofstream fout;
fout.open(argv[1]);
int cnt = 0;
bool shift;
while (scanf("%s", token) != EOF)
{
int nrow, ncol;
int i, j;
if (strcmp(token, "<AffineTransform>") == 0)
{
double lrate, blrate, mnorm;
scanf("%d %d", &ncol, &nrow);
scanf("%s %lf %s %lf %s %lf",
token, &lrate, token, &blrate, token, &mnorm);
scanf("%s", token);
assert(*token == '[');
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);
scanf("%s", token);
assert(*token == ']');
if (scanf("%s", token) == 1 && *token == '[')
{
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++;
}
}
else if ((shift = (strcmp(token, "<AddShift>") == 0)) ||
strcmp(token, "<Rescale>") == 0)
{
double lrate, blrate, mnorm;
scanf("%d %d", &ncol, &ncol);
scanf("%s %lf",
token, &lrate);
scanf("%s", token);
assert(*token == '[');
printf("%d\n", ncol);
for (j = 0; j < ncol; j++)
scanf("%lf", mat[0] + j);
long base = fout.tellp();
sprintf(output, "%16d", 0);
fout << output;
sprintf(output, "{type=\"nerv.BiasParam\",id=\"%s%d\"}\n",
shift ? "bias" : "window",
cnt);
fout << output;
sprintf(output, "%d %d\n", 1, ncol);
fout << output;
for (j = 0; j < ncol; j++)
fout << mat[0][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);
scanf("%s", token);
assert(*token == ']');
}
}
return 0;
}
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