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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def linear_weighted_moving_average(data, period):
 """ Linear Weighted Moving Average. Formula: LWMA = SUM(DATA[i]) * i / SUM(i) """

    catch_errors.check_for_period_error(data, period)

    idx_period = list(range(1, period+1))
    lwma = [(sum([i * idx_period[data[idx-(period-1):idx+1].index(i)]
              for i in data[idx-(period-1):idx+1]])) /
            sum(range(1, len(data[idx+1-period:idx+1])+1)) for idx in range(period-1, len(data))]
    lwma = fill_for_noncomputable_vals(data, lwma)
    return lwma