Cj1m

$('#swimmer-submit').on('click', function(e) {
    e.preventDefault();
    var values = {
      swimmer : {
        swimmer_forename: $('input[name="swimmer_forename"]').val(),
        swimmer_surname: $('input[name="swimmer_surname"]').val(),
        swimmer_dob: $('input[name="swimmer_dob"]').val(),
        swimmer_gender: $('select[name="swimmer_gender"]').val(),
      }
    };

Cj1m

public void runTimer(){
  if(snake.isAlive()){
    ScheduledExecutorService executor = Executors.newSingleThreadScheduledExecutor();
    executor.schedule(runTimer(), 1, TimeUnit.SECONDS);
    executor.shutdown();
  }
}

Cj1m

    a23 = np.matrix([math.cos(link2_angle[0]), 0, math.sin(link2_angle[0]), 0],
                    [0, 1, 0, 0],
                    [-math.sin(link2_angle[0]), 0, math.cos(link2_angle[0]), 0],
                    [0,0,0,1])
      
    a34 = np.matrix([1,0,0,0],
                    [0, math.cos(link3_angle[1]), -math.sin(link3_angle[1]), 0],
                    [0, math.sin(link3_angle[1]), math.cos(link3_angle[1]), 3],
                    [0,0,0,1])

Cj1m

class NNSpectrogramModel(nn.Module):
    def __init__(self):
        super().__init__()
        
        self.input_layer = 3968
        h1 = 2645
        h2 = 1024
        encoding_size = 240
        num_classes = 1
        self.fc1 = nn.Linear(self.input_layer, encoding_size)