user: 请从给定的汇编指令推导出C源代码:

```asm
<print_description>:
  endbr64
  push   %rbp
  lea    D68(%rip),%rdi
  lea    D125(%rip),%rbp
  call   <printf@plt>
  lea    D57(%rip),%rdi
  call   <printf@plt>
  mov    %rbp,%rdi
  call   <printf@plt>
  lea    D81(%rip),%rdi
  call   <printf@plt>
  lea    D12(%rip),%rdi
  call   <printf@plt>
  lea    D55(%rip),%rdi
  call   <printf@plt>
  lea    D24(%rip),%rdi
  call   <printf@plt>
  lea    D5(%rip),%rdi
  call   <printf@plt>
  lea    D157(%rip),%rdi
  call   <printf@plt>
  mov    %rbp,%rdi
  call   <printf@plt>
  lea    D103(%rip),%rdi
  call   <printf@plt>
  lea    D163(%rip),%rdi
  call   <printf@plt>
  lea    D193(%rip),%rdi
  call   <printf@plt>
  lea    D128(%rip),%rdi
  call   <printf@plt>
  lea    D155(%rip),%rdi
  call   <printf@plt>
  lea    D206(%rip),%rdi
  call   <printf@plt>
  mov    %rbp,%rdi
  call   <printf@plt>
  lea    D87(%rip),%rdi
  call   <printf@plt>
  lea    D176(%rip),%rdi
  call   <printf@plt>
  lea    D6(%rip),%rdi
  call   <printf@plt>
  lea    D46(%rip),%rdi
  call   <printf@plt>
  mov    %rbp,%rdi
  call   <printf@plt>
  lea    D7(%rip),%rdi
  call   <printf@plt>
  lea    D198(%rip),%rdi
  call   <printf@plt>
  mov    %rbp,%rdi
  pop    %rbp
  jmp    1050 <printf@plt>
```

tool_calls: name: disassemble_data
arguments: data_tag: D68
type_infered: string
name: disassemble_data
arguments: data_tag: D125
type_infered: string
name: disassemble_data
arguments: data_tag: D57
type_infered: string
name: disassemble_data
arguments: data_tag: D81
type_infered: string
name: disassemble_data
arguments: data_tag: D12
type_infered: string
name: disassemble_data
arguments: data_tag: D55
type_infered: string
name: disassemble_data
arguments: data_tag: D24
type_infered: string
name: disassemble_data
arguments: data_tag: D5
type_infered: string
name: disassemble_data
arguments: data_tag: D157
type_infered: string
name: disassemble_data
arguments: data_tag: D103
type_infered: string
name: disassemble_data
arguments: data_tag: D163
type_infered: string
name: disassemble_data
arguments: data_tag: D193
type_infered: string
name: disassemble_data
arguments: data_tag: D128
type_infered: string
name: disassemble_data
arguments: data_tag: D155
type_infered: string
name: disassemble_data
arguments: data_tag: D206
type_infered: string
name: disassemble_data
arguments: data_tag: D87
type_infered: string
name: disassemble_data
arguments: data_tag: D176
type_infered: string
name: disassemble_data
arguments: data_tag: D6
type_infered: string
name: disassemble_data
arguments: data_tag: D46
type_infered: string
name: disassemble_data
arguments: data_tag: D7
type_infered: string
name: disassemble_data
arguments: data_tag: D198
type_infered: string

tool: D68: This program will repeatedly run the initialization, training


tool: D125: 


tool: D57: and testing cycle for Self-Organizing Map algorithm.


tool: D81: In the following the training file name, the test file name


tool: D12: (that can be the same) and the map save file name are asked.


tool: D55: After them the type of map topology is asked, as well as


tool: D24: the type of neighborhood function. The x- and y-dimension


tool: D5: of the map should be integers and prefereably x-dimension


tool: D157: should be larger than y-dimension.


tool: D103: The training is done in two parts. First an ordering phase


tool: D163: that is usually shorter than the following converging phase.


tool: D193: The number of training cycles, the training rates and


tool: D128: the radius of the adaptation area are asked separately for


tool: D155: both phases. The fixed point qualifiers and weighting qualifiers


tool: D206: are used if the corresponding parameters were given.


tool: D87: The quantization error is computed for each map and


tool: D176: the best map (smallest quantization error) is saved to


tool: D6: the given file. If the verbose parameter allows the quantization


tool: D46: error is given for each separate trial.


tool: D7: After the answers have been given the training begins


tool: D198: and depending on the size of problem it may take a long time.


assistant: ```c
void print_description(void) {
  printf("This program will repeatedly run the initialization, training\n");
  printf("and testing cycle for Self-Organizing Map algorithm.\n");
  printf("\n");
  printf("In the following the training file name, the test file name\n");
  printf("(that can be the same) and the map save file name are asked.\n");
  printf("After them the type of map topology is asked, as well as\n");
  printf("the type of neighborhood function. The x- and y-dimension\n");
  printf("of the map should be integers and prefereably x-dimension\n");
  printf("should be larger than y-dimension.\n");
  printf("\n");
  printf("The training is done in two parts. First an ordering phase\n");
  printf("that is usually shorter than the following converging phase.\n");
  printf("The number of training cycles, the training rates and\n");
  printf("the radius of the adaptation area are asked separately for\n");
  printf("both phases. The fixed point qualifiers and weighting qualifiers\n");
  printf("are used if the corresponding parameters were given.\n");
  printf("\n");
  printf("The quantization error is computed for each map and\n");
  printf("the best map (smallest quantization error) is saved to\n");
  printf("the given file. If the verbose parameter allows the quantization\n");
  printf("error is given for each separate trial.\n");
  printf("\n");
  printf("After the answers have been given the training begins\n");
  printf("and depending on the size of problem it may take a long time.\n");
  printf("\n");
}
```