"""
    Calculates stats from the provided list xnp, based on the stats config object.
    :param stat_config: Configuration for which stats to be computed.
    :param x: The time series list.
    :param offset: Offset of the values so some stats can be calculated
    :return:
    """
    stats_all_names = ['len', 'min', 'max', 'range', 'mean', 'hmean', 'gmean', 'var', 'std', 'skew', 'kurtosis',
                       'median', 'mode', 'energy', 'energy_sample', 'snr']

    xnp = np.array(x)
    n = len(x)
    if n == 0:
        values = [0 for i in range(len(stats_all_names))]
        return values, stats_all_names
    values = []
    vmin = float(min(xnp))
    if vmin < 1:
        offset = 1 + abs(vmin)
    else:
        offset = 0
    vmax = float(max(xnp))
    vrange = vmax - vmin
    vmean = float(np.mean(xnp))
    vstd = float(np.std(xnp))
    venergy = float(sum(np.array(xnp) ** 2))
    venergy_sample = venergy / n
    snr = 0.0
    if vstd != 0:
        snr = vmean / vstd
    values.append(vmin)
    values.append(vmax)
    #values.append(vrange)
    values.append(vmean)
    # values.append(float(sp.hmean(xnp + offset)))
    # values.append(float(sp.gmean(xnp + offset)))
    # values.append(vstd ** 2)
    values.append(vstd)
    # values.append(sp.skew(xnp))
    # values.append(sp.kurtosis(xnp))
    # values.append(np.median(xnp))
    # vmode = sp.mode(xnp)
    # vmode = float(vmode[0][0])
    # values.append(vmode)
    # values.append(venergy)
    # values.append(venergy_sample)
    # values.append(snr)
    return values, stats_all_names


if __name__ == "__main__":
    x = np.array(X_data)
    shift = input()
    w_long = input()
    arr_len = len(x[0, :])  #dolzinata na np X (np.array)
    for i in range(int(w_long), len(X_data), shift): #zimame 50(w_long) reda od vkupno 700(len(X-data) so pomestuvanje 10(shift)
        result=[] #prazna lista
        for j in range(0,arr_len): #iterirame niz  prozorot
            s,names = stats_calculate_all(x[i-w_long:i,j]) #zna calculete all mu ja davame datata od x so golemina i-w_long
            result.extend([round(s[0],2), round(s[1],2), round(s[2],2), round(s[3],2)])
        print (i,result)
    # vasiot kod tuka