human
Solve the following python programming problem given the following code:
# Custom Factor 3: 4/52 Price Oscillator
def oscillator_helper(col):
    if nan_check(col):
        return np.nan   
    else:
        col = lag_helper(col)
        return np.nanmean(col[-20:]) / np.nanmean(col) - 1

class Price_Oscillator(CustomFactor):
    inputs = [USEquityPricing.close]
    window_length = 272
    
    def compute(self, today, assets, out, close):
        out[:] = np.apply_along_axis(oscillator_helper, 0, close)
        
temp_pipe_3 = Pipeline()
temp_pipe_3.add(Price_Oscillator(), 'Price Oscillator')
results_3 = run_pipeline(temp_pipe_3, '2015-08-08', '2015-08-08')
results_3.head(20)
Given the above code, generate some markdown instructions for it.
assistant
#Here is the Python program you requested.

Now let us create a Pipeline factor and observe some values.