user: Demonstrate the C code that generates the assembly output below:

```asm
<vm_loglikelihood_lambda_partial_naive>:
  endbr64
  push   %rbp
  mov    %rsp,%rbp
  push   %r12
  push   %rbx
  sub    $0x50,%rsp
  mov    %edi,-0x34(%rbp)
  mov    %esi,-0x38(%rbp)
  mov    %edx,-0x3c(%rbp)
  mov    %ecx,-0x40(%rbp)
  mov    %r8,-0x48(%rbp)
  mov    %r9,-0x50(%rbp)
  pxor   %xmm0,%xmm0
  movsd  %xmm0,-0x28(%rbp)
  movl   $0x0,-0x30(%rbp)
  jmp    L29
L21:
  mov    -0x3c(%rbp),%eax
  cmp    -0x30(%rbp),%eax
  jne    L46
  movl   $0x0,-0x2c(%rbp)
  jmp    L16
L33:
  mov    -0x2c(%rbp),%eax
  imul   -0x38(%rbp),%eax
  cltq
  lea    0x0(,%rax,8),%rdx
  mov    0x18(%rbp),%rax
  lea    (%rdx,%rax,1),%rdi
  mov    -0x50(%rbp),%rcx
  mov    -0x48(%rbp),%rdx
  mov    -0x30(%rbp),%esi
  mov    -0x38(%rbp),%eax
  mov    %rdi,%r9
  mov    0x10(%rbp),%r8
  mov    %eax,%edi
  call   <marginal_j_concentration@plt>
  movq   %xmm0,%rax
  mov    %rax,-0x20(%rbp)
  mov    -0x2c(%rbp),%eax
  imul   -0x38(%rbp),%eax
  cltq
  lea    0x0(,%rax,8),%rdx
  mov    0x18(%rbp),%rax
  lea    (%rdx,%rax,1),%rdi
  mov    -0x50(%rbp),%rcx
  mov    -0x48(%rbp),%rdx
  mov    -0x30(%rbp),%esi
  mov    -0x38(%rbp),%eax
  mov    %rdi,%r9
  mov    0x10(%rbp),%r8
  mov    %eax,%edi
  call   <marginal_j_mean@plt>
  movq   %xmm0,%rax
  mov    %rax,-0x18(%rbp)
  mov    -0x2c(%rbp),%eax
  imul   -0x38(%rbp),%eax
  mov    %eax,%edx
  mov    -0x30(%rbp),%eax
  add    %edx,%eax
  cltq
  lea    0x0(,%rax,8),%rdx
  mov    0x18(%rbp),%rax
  add    %rdx,%rax
  movsd  (%rax),%xmm0
  subsd  -0x18(%rbp),%xmm0
  movq   %xmm0,%rax
  movq   %rax,%xmm0
  call   <cos@plt>
  movq   %xmm0,%rbx
  mov    -0x20(%rbp),%rax
  movq   %rax,%xmm0
  call   <bessi1_spd@plt>
  movq   %xmm0,%r12
  mov    -0x20(%rbp),%rax
  movq   %rax,%xmm0
  call   <bessi0_spd@plt>
  movq   %r12,%xmm1
  divsd  %xmm0,%xmm1
  movq   %rbx,%xmm2
  subsd  %xmm1,%xmm2
  movsd  %xmm2,-0x58(%rbp)
  mov    -0x2c(%rbp),%eax
  imul   -0x38(%rbp),%eax
  cltq
  lea    0x0(,%rax,8),%rdx
  mov    0x18(%rbp),%rax
  lea    (%rdx,%rax,1),%rdi
  mov    -0x50(%rbp),%r9
  mov    -0x48(%rbp),%r8
  mov    -0x40(%rbp),%ecx
  mov    -0x3c(%rbp),%edx
  mov    -0x30(%rbp),%esi
  mov    -0x38(%rbp),%eax
  push   %rdi
  push   0x10(%rbp)
  mov    %eax,%edi
  call   <vm_marginalKapa_lambda_partial_naive@plt>
  add    $0x10,%rsp
  mulsd  -0x58(%rbp),%xmm0
  movsd  -0x28(%rbp),%xmm1
  addsd  %xmm1,%xmm0
  movsd  %xmm0,-0x28(%rbp)
  mov    -0x2c(%rbp),%eax
  imul   -0x38(%rbp),%eax
  mov    %eax,%edx
  mov    -0x30(%rbp),%eax
  add    %edx,%eax
  cltq
  lea    0x0(,%rax,8),%rdx
  mov    0x18(%rbp),%rax
  add    %rdx,%rax
  movsd  (%rax),%xmm0
  subsd  -0x18(%rbp),%xmm0
  movq   %xmm0,%rax
  movq   %rax,%xmm0
  call   <sin@plt>
  movq   %xmm0,%rax
  movq   %rax,%xmm3
  mulsd  -0x20(%rbp),%xmm3
  movsd  %xmm3,-0x58(%rbp)
  mov    -0x2c(%rbp),%eax
  imul   -0x38(%rbp),%eax
  cltq
  lea    0x0(,%rax,8),%rdx
  mov    0x18(%rbp),%rax
  lea    (%rdx,%rax,1),%rdi
  mov    -0x50(%rbp),%r9
  mov    -0x48(%rbp),%r8
  mov    -0x40(%rbp),%ecx
  mov    -0x3c(%rbp),%edx
  mov    -0x30(%rbp),%esi
  mov    -0x38(%rbp),%eax
  push   %rdi
  push   0x10(%rbp)
  mov    %eax,%edi
  call   <vm_marginalMu_lambda_partial_naive@plt>
  add    $0x10,%rsp
  mulsd  -0x58(%rbp),%xmm0
  movsd  -0x28(%rbp),%xmm1
  addsd  %xmm1,%xmm0
  movsd  %xmm0,-0x28(%rbp)
  addl   $0x1,-0x2c(%rbp)
L16:
  mov    -0x2c(%rbp),%eax
  cmp    -0x34(%rbp),%eax
  jl     L33
L46:
  addl   $0x1,-0x30(%rbp)
L29:
  mov    -0x30(%rbp),%eax
  cmp    -0x38(%rbp),%eax
  jl     L21
  movsd  -0x28(%rbp),%xmm0
  movq   D6(%rip),%xmm1
  xorpd  %xmm1,%xmm0
  movq   %xmm0,%rax
  movq   %rax,%xmm0
  lea    -0x10(%rbp),%rsp
  pop    %rbx
  pop    %r12
  pop    %rbp
  ret
```

tool_calls: name: disassemble_data
arguments: tag: D6
type_infered: f32[2]

tool: {"D6": [0.0,-0.0]}

assistant: ```c
double vm_loglikelihood_lambda_partial_naive(int n, int p, int R, int S, double *mu, double *kappa, double *lambda, double *theta) {
  int j, i;
  double acum = 0.;
  double m_rest, k_rest;
  for (j = 0; j < p; j++) {
    if (R == j) {
      for (i = 0; i < n; i++) {
        k_rest = marginal_j_concentration(p, j, mu, kappa, lambda, theta + i * p);
        m_rest = marginal_j_mean(p, j, mu, kappa, lambda, theta + i * p);
        acum += (cos(theta[i * p + j] - m_rest) - (bessi1_spd(k_rest) / bessi0_spd(k_rest))) * vm_marginalKapa_lambda_partial_naive(p, j, R, S, mu, kappa, lambda, theta + i * p);
        acum += k_rest * sin(theta[i * p + j] - m_rest) * vm_marginalMu_lambda_partial_naive(p, j, R, S, mu, kappa, lambda, theta + i * p);
      }
    }
  }
  return -acum;
}
```