Can someone explain me this code?

from numpy import array
lst_output=[]
n_steps=100
i=0
while(i<30):
    if(len(temp_input)>100):
 
         x_input=np.array(temp_input[1:])
         print("{} day input {}".format(i,x_input))
         x_input=x_input.reshape(1,-1)
         x_input = x_input.reshape((1, n_steps, 1))
 
         yhat = model.predict(x_input, verbose=0)
         print("{} day output {}".format(i,yhat))
         temp_input.extend(yhat[0].tolist())
         temp_input=temp_input[1:]
 
         lst_output.extend(yhat.tolist())
         i=i+1
    else:
         x_input = x_input.reshape((1, n_steps,1))
         yhat = model.predict(x_input, verbose=0)
         print(yhat[0])
         temp_input.extend(yhat[0].tolist())
         print(len(temp_input))
         lst_output.extend(yhat.tolist())
         i=i+1
 
print(lst_output)