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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 _find_max_lag(x, rho_limit=0.05, maxmaxlag=20000, verbose=0):
 """Automatically find an appropriate maximum lag to calculate IAT"""


    # Fetch autocovariance matrix
    acv = autocov(x)
    # Calculate rho
    rho = acv[0, 1] / acv[0, 0]

    lam = -1. / np.log(abs(rho))

    # Initial guess at 1.5 times lambda (i.e. 3 times mean life)
    maxlag = int(np.floor(3. * lam)) + 1

    # Jump forward 1% of lambda to look for rholimit threshold
    jump = int(np.ceil(0.01 * lam)) + 1

    T = len(x)

    while ((abs(rho) > rho_limit) & (maxlag < min(T / 2, maxmaxlag))):

        acv = autocov(x, maxlag)
        rho = acv[0, 1] / acv[0, 0]
        maxlag += jump

    # Add 30% for good measure
    maxlag = int(np.floor(1.3 * maxlag))

    if maxlag >= min(T / 2, maxmaxlag):
        maxlag = min(min(T / 2, maxlag), maxmaxlag)
        "maxlag fixed to %d" % maxlag
        return maxlag

    if maxlag <= 1:
        print_("maxlag = %d, fixing value to 10" % maxlag)
        return 10

    if verbose:
        print_("maxlag = %d" % maxlag)
    return maxlag