user: 请从给定的汇编指令推导出C源代码：

```asm
<bucketSort>:
  endbr64
  push   %r12
  push   %rbp
  push   %rbx
  lea    -0x249000(%rsp),%r11
L54:
  sub    $0x1000,%rsp
  orq    $0x0,(%rsp)
  cmp    %r11,%rsp
  jne    L54
  sub    $0xf10,%rsp
  mov    %rdi,%rsi
  mov    %fs:0x28,%rax
  mov    %rax,0x249f08(%rsp)
  xor    %eax,%eax
  mov    $0x1,%edi
  lea    0x61a80(%rsp),%r9
  lea    0x2ab980(%rsp),%r10
  lea    0x61a80(%rsi),%r8
  jmp    L70
L122:
  movslq %r11d,%rbx
  mov    %edx,(%rsi,%rbx,4)
  add    $0x1,%r11d
L38:
  add    $0x4,%rax
  cmp    %rcx,%rax
  je     L133
L30:
  mov    (%rax),%edx
  cmp    $0xffffffff,%edx
  jne    L122
  jmp    L38
L133:
  add    $0x61a80,%rcx
  cmp    %r10,%rcx
  je     L88
L36:
  lea    -0x61a80(%rcx),%rax
  jmp    L30
L88:
  lea    (%rdi,%rdi,4),%edi
  cmpl   $0x1869f,(%rsp)
  jg     L96
L70:
  mov    %rsp,%rax
L24:
  movl   $0x0,(%rax)
  add    $0x4,%rax
  cmp    %r9,%rax
  jne    L24
  lea    0xc3500(%rsp),%rcx
  mov    %rcx,%rdx
L123:
  lea    -0x61a80(%rdx),%rax
L112:
  movl   $0xffffffff,(%rax)
  add    $0x4,%rax
  cmp    %rdx,%rax
  jne    L112
  add    $0x61a80,%rdx
  cmp    %r10,%rdx
  jne    L123
  mov    %rsi,%r11
L8:
  mov    (%r11),%ebx
  mov    %ebx,%eax
  cltd
  idiv   %edi
  movslq %eax,%rdx
  imul   $0x66666667,%rdx,%rdx
  sar    $0x21,%rdx
  mov    %eax,%ebp
  sar    $0x1f,%ebp
  sub    %ebp,%edx
  lea    (%rdx,%rdx,4),%ebp
  sub    %ebp,%eax
  movslq %eax,%rdx
  mov    (%rsp,%rdx,4),%eax
  movslq %eax,%r12
  imul   $0x186a0,%rdx,%rbp
  add    %r12,%rbp
  mov    %ebx,0x61a80(%rsp,%rbp,4)
  add    $0x1,%eax
  mov    %eax,(%rsp,%rdx,4)
  add    $0x4,%r11
  cmp    %r8,%r11
  jne    L8
  mov    $0x0,%r11d
  jmp    L36
L96:
  mov    0x249f08(%rsp),%rax
  sub    %fs:0x28,%rax
  jne    L20
  add    $0x249f10,%rsp
  pop    %rbx
  pop    %rbp
  pop    %r12
  ret
L20:
  call   <__stack_chk_fail@plt>
```

assistant: ```c
void bucketSort(int *vetor) {
  int matrix_bucketsort[5][100000], vetor_auxiliar[100000];
  int i, j, k = 0, contador = 1, n;
  do {
    k = 0;
#pragma omp parallel num_threads(N_THREADS) shared(vetor_auxiliar) private(i)
    {
#pragma omp for schedule(dynamic, 1)
      for (i = 0; i < 100000; i++) {
        vetor_auxiliar[i] = 0;
      }
    }
#pragma omp parallel num_threads(N_THREADS) shared(matrix_bucketsort) private(i, j)
    {
#pragma omp for schedule(dynamic, 1)
      for (i = 0; i < 5; i++) {
        for (j = 0; j < 100000; j++) {
          matrix_bucketsort[i][j] = -1;
        }
      }
    }
#pragma omp parallel num_threads(N_THREADS) shared(matrix_bucketsort, vetor_auxiliar) private(i, n)
    {
#pragma omp for ordered schedule(dynamic, 1)
      for (i = 0; i < 100000; i++) {
        n = (vetor[i] / contador) % 5;
        matrix_bucketsort[n][vetor_auxiliar[n]] = vetor[i];
        vetor_auxiliar[n]++;
      }
    }
#pragma omp parallel num_threads(N_THREADS) shared(matrix_bucketsort, vetor) private(i, j)
    {
#pragma omp for ordered schedule(dynamic, 1)
      for (i = 0; i < 5; i++) {
        for (j = 0; j < 100000; j++) {
          if (matrix_bucketsort[i][j] != -1) {
#pragma omp critical
            {
              vetor[k] = matrix_bucketsort[i][j];
              k++;
            }
          }
        }
      }
    }
    contador = contador * 5;
  } while (vetor_auxiliar[0] < 100000);
}
```