You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: submit.m
    path of file: ./repos/Machine-Learning-homework/machine-learning-ex6/ex6
    
    the code of the file until where you have to start completion: function submit()
  addpath('./lib');

  conf.assignmentSlug = 'support-vector-machines';
  conf.itemName = 'Support Vector Machines';
  conf.partArrays = { ...
    { ...
      '1', ...
      { 'gaussianKernel.m' }, ...
      'Gaussian Kernel', ...

    
function submit()
  addpath('./lib');

  conf.assignmentSlug = 'support-vector-machines';
  conf.itemName = 'Support Vector Machines';
  conf.partArrays = { ...
    { ...
      '1', ...
      { 'gaussianKernel.m' }, ...
      'Gaussian Kernel', ...
    }, ...
    { ...
      '2', ...
      { 'dataset3Params.m' }, ...
      'Parameters (C, sigma) for Dataset 3', ...
    }, ...
    { ...
      '3', ...
      { 'processEmail.m' }, ...
      'Email Preprocessing', ...
    }, ...
    { ...
      '4', ...
      { 'emailFeatures.m' }, ...
      'Email Feature Extraction', ...
    }, ...
  };
  conf.output = @output;

  submitWithConfiguration(conf);
end

function out = output(partId, auxstring)
  % Random Test Cases
  x1 = sin(1:10)';
  x2 = cos(1:10)';
  ec = 'the quick brown fox jumped over the lazy dog';
  wi = 1 + abs(round(x1 * 1863));
  wi = [wi ; wi];
  if partId == '1'
    sim = gaussianKernel(x1, x2, 2);
    out = sprintf('%0.5f ', sim);
  elseif partId == '2'
    load('ex6data3.mat');
    [C, sigma] = dataset3Params(X, y, Xval, yval);
    out = sprintf('%0.5f ', C);
    out = [out sprintf('%0.5f ', sigma)];
  elseif partId == '3'
    word_indices = processEmail(ec);
    out = sprintf('%d ', word_indices);
  elseif partId == '4'
    x = emailFeatures(wi);
    out = sprintf('%d ', x);
  end