user: Please show me the C implementation that matches the assembly code listed below:

```asm
<print_usage_and_exit>:
  endbr64
  sub    $0x8,%rsp
  lea    D8(%rip),%rdi
  call   <printf@plt>
  xor    %edi,%edi
  add    $0x8,%rsp
  jmp    1070 <exit@plt>
```

tool_calls: name: read_data
arguments: data_label: D8
type: string

tool: {"D8": "\nProgram: gkmtrain-svr (lsgkm program for SVR model training)\nVersion: v0.1.1\n\nUsage: gkmtrain [options] <datafile> <outprefix>\n\n train support vector regression (SVR) using gkm-kenrel and libSVM\n\nArguments:\n datafile: tab-delimited data file. The 1st column is sequence and\n           the 2nd column is score.\n outprefix: prefix of output file(s) <outprefix>.model.txt or\n            <outprefix>.cvpred.txt\n\nOptions:\n -t <0 ~ 5>   set kernel function (default: 2 gkm)\n              NOTE: RBF kernels (3 and 5) work best with -c 10 -g 2\n                0 -- gapped-kmer\n                1 -- estimated l-mer with full filter\n                2 -- estimated l-mer with truncated filter (gkm)\n                3 -- gkm + RBF (gkmrbf)\n                4 -- gkm + center weighted (wgkm)\n                     [weight = max(M, floor(M*exp(-ln(2)*D/H)+1))]\n                5 -- gkm + center weighted + RBF (wgkmrbf)\n -l <int>     set word length, 3<=l<=12 (default: 11)\n -k <int>     set number of informative column, k<=l (default: 7)\n -d <int>     set maximum number of mismatches to consider, d<=4 (default: 3)\n -g <float>   set gamma for RBF kernel. -t 3 or 5 only (default: 1.0)\n -M <int>     set the initial value (M) of the exponential decay function\n              for wgkm-kernels. max=255, -t 4 or 5 only (default: 50)\n -H <float>   set the half-life parameter (H) that is the distance (D) required\n              to fall to half of its initial value in the exponential decay\n              function for wgkm-kernels. -t 4 or 5 only (default: 50)\n -R           if set, reverse-complement is not considered as the same feature\n -c <float>   set the regularization parameter C (default: 0.1)\n -p <float>   set the epsilon parameter in loss function of SVR (default: 0.1)\n -e <float>   set the precision parameter (default: 0.001)\n -m <float>   set cache memory size in MB (default: 100.0)\n              NOTE: Large cache signifcantly reduces runtime. >4Gb is recommended\n -s           if set, use the shrinking heuristics\n -x <int>     set N-fold cross validation mode (default: no cross validation)\n -i <int>     run i-th cross validation only 1<=i<=ncv (default: all)\n -r <int>     set random seed for shuffling in cross validation mode (default: 1)\n -v <0 ~ 4>   set the level of verbosity (default: 2)\n                0 -- error msgs only (ERROR)\n                1 -- warning msgs (WARN)\n                2 -- progress msgs at coarse-grained level (INFO)\n                3 -- progress msgs at fine-grained level (DEBUG)\n                4 -- progress msgs at finer-grained level (TRACE)\n-T <1|4|16>   set the number of threads for parallel calculation, 1, 4, or 16\n                 (default: 1)\n\n"}

assistant: ```c
void print_usage_and_exit() {
  printf("\n"
         "Program: gkmtrain-svr (lsgkm program for SVR model training)\n"
         "Version: "
         "v0.1.1"
         "\n\n"
         "Usage: gkmtrain [options] <datafile> <outprefix>\n"
         "\n"
         " train support vector regression (SVR) using gkm-kenrel and libSVM\n"
         "\n"
         "Arguments:\n"
         " datafile: tab-delimited data file. The 1st column is sequence and\n"
         "           the 2nd column is score.\n"
         " outprefix: prefix of output file(s) <outprefix>.model.txt or\n"
         "            <outprefix>.cvpred.txt\n"
         "\n"
         "Options:\n"
         " -t <0 ~ 5>   set kernel function (default: 2 gkm)\n"
         "              NOTE: RBF kernels (3 and 5) work best with -c 10 -g 2\n"
         "                0 -- gapped-kmer\n"
         "                1 -- estimated l-mer with full filter\n"
         "                2 -- estimated l-mer with truncated filter (gkm)\n"
         "                3 -- gkm + RBF (gkmrbf)\n"
         "                4 -- gkm + center weighted (wgkm)\n"
         "                     [weight = max(M, floor(M*exp(-ln(2)*D/H)+1))]\n"
         "                5 -- gkm + center weighted + RBF (wgkmrbf)\n"
         " -l <int>     set word length, 3<=l<=12 (default: 11)\n"
         " -k <int>     set number of informative column, k<=l (default: 7)\n"
         " -d <int>     set maximum number of mismatches to consider, d<=4 (default: 3)\n"
         " -g <float>   set gamma for RBF kernel. -t 3 or 5 only (default: 1.0)\n"
         " -M <int>     set the initial value (M) of the exponential decay function\n"
         "              for wgkm-kernels. max=255, -t 4 or 5 only (default: 50)\n"
         " -H <float>   set the half-life parameter (H) that is the distance (D) required\n"
         "              to fall to half of its initial value in the exponential decay\n"
         "              function for wgkm-kernels. -t 4 or 5 only (default: 50)\n"
         " -R           if set, reverse-complement is not considered as the same feature\n"
         " -c <float>   set the regularization parameter C (default: 0.1)\n"
         " -p <float>   set the epsilon parameter in loss function of SVR (default: 0.1)\n"
         " -e <float>   set the precision parameter (default: 0.001)\n"
         " -m <float>   set cache memory size in MB (default: 100.0)\n"
         "              NOTE: Large cache signifcantly reduces runtime. >4Gb is recommended\n"
         " -s           if set, use the shrinking heuristics\n"
         " -x <int>     set N-fold cross validation mode (default: no cross validation)\n"
         " -i <int>     run i-th cross validation only 1<=i<=ncv (default: all)\n"
         " -r <int>     set random seed for shuffling in cross validation mode (default: 1)\n"
         " -v <0 ~ 4>   set the level of verbosity (default: 2)\n"
         "                0 -- error msgs only (ERROR)\n"
         "                1 -- warning msgs (WARN)\n"
         "                2 -- progress msgs at coarse-grained level (INFO)\n"
         "                3 -- progress msgs at fine-grained level (DEBUG)\n"
         "                4 -- progress msgs at finer-grained level (TRACE)\n"
         "-T <1|4|16>   set the number of threads for parallel calculation, 1, 4, or 16\n"
         "                 (default: 1)\n"
         "\n");
  exit(0);
}
```