In [1]:

    

# Copyright (C) 2015 Bradley Ellert.

import numpy as np

%matplotlib inline
import matplotlib.pyplot as plt
import matplotlib.ticker as tck


    

In [2]:

    

DWE = np.genfromtxt("~/AMPds/Electricity_DWE.csv", delimiter = ",", names = True)
WHW = np.genfromtxt("~/AMPds/Water_WHW.csv", delimiter = ",", names = True)


    

In [3]:

    

reset = 150450 # exact switch between half-litre and gallon pulses is at 150783

DWE_year2 = DWE[len(DWE)/2:]
DWE_gallon = DWE[:reset]
DWE_remainder = DWE[reset:len(DWE)/2]

WHW_year2 = WHW[len(WHW)/2:]
WHW_gallon = WHW[:reset]
WHW_remainder = WHW[reset:len(WHW)/2]


    

In [4]:

    

# finds nonzero slices in data, ignoring sequences of zeros of length <=skip
# returns list of (start, end) for convenience
def samples(data, skip=0):
    indicies = np.nonzero(data)[0]
    return [(x[0], x[-1]+1) for x in np.split(indicies, np.where(np.diff(indicies)>skip+1)[0]+1)]


    

In [5]:

    

DWsamples_year2 = samples(DWE_year2["S"])
DWsamples_gallon = samples(DWE_gallon["S"])
DWsamples_remainder = samples(DWE_remainder["S"])

DWW_year2 = np.zeros(len(WHW_year2))
DWW_gallon = np.zeros(len(WHW_gallon))
DWW_remainder = np.zeros(len(WHW_remainder))


    

In [6]:

    

for e,(start,end) in enumerate(DWsamples_year2):
    print("# Sample %i" % e)
    for i in range(start,end):
        if WHW_year2["AVG_RATE"][i] != 0:
            print("DWW_year2[%i] =" % i, WHW_year2["AVG_RATE"][i])


    

    




# Sample 0
DWW_year2[3996] = 0.5
DWW_year2[3999] = 6.0
DWW_year2[4000] = 17.5
DWW_year2[4001] = 16.0
DWW_year2[4002] = 0.5
DWW_year2[4004] = 15.5
DWW_year2[4005] = 13.5
DWW_year2[4006] = 7.5
DWW_year2[4007] = 4.0
DWW_year2[4008] = 0.5
DWW_year2[4009] = 3.0
DWW_year2[4015] = 2.5
DWW_year2[4016] = 0.5
DWW_year2[4023] = 2.5
DWW_year2[4024] = 0.5
DWW_year2[4031] = 2.5
DWW_year2[4032] = 0.5
DWW_year2[4039] = 2.5
DWW_year2[4061] = 0.5
DWW_year2[4062] = 0.5
DWW_year2[4074] = 4.0
DWW_year2[4075] = 2.5
DWW_year2[4082] = 2.0
DWW_year2[4083] = 7.5
DWW_year2[4084] = 2.0
DWW_year2[4094] = 1.5
DWW_year2[4095] = 1.5
DWW_year2[4107] = 0.5
DWW_year2[4113] = 0.5
DWW_year2[4119] = 0.5
DWW_year2[4131] = 2.0
DWW_year2[4132] = 7.5
DWW_year2[4138] = 16.0
DWW_year2[4139] = 12.0
DWW_year2[4140] = 7.5
DWW_year2[4141] = 7.5
DWW_year2[4142] = 7.0
DWW_year2[4143] = 7.0
DWW_year2[4144] = 2.0
DWW_year2[4149] = 1.0
DWW_year2[4152] = 0.5
DWW_year2[4155] = 5.0
DWW_year2[4156] = 16.5
DWW_year2[4157] = 4.5
# Sample 1
DWW_year2[9179] = 0.5
DWW_year2[9180] = 5.0
DWW_year2[9181] = 2.5
DWW_year2[9182] = 4.5
DWW_year2[9183] = 4.5
DWW_year2[9185] = 2.0
DWW_year2[9186] = 7.0
DWW_year2[9187] = 2.0
DWW_year2[9188] = 0.5
DWW_year2[9189] = 0.5
DWW_year2[9190] = 10.0
DWW_year2[9191] = 1.0
DWW_year2[9192] = 7.0
DWW_year2[9193] = 3.5
DWW_year2[9196] = 1.0
DWW_year2[9197] = 5.0
DWW_year2[9198] = 7.5
DWW_year2[9199] = 6.0
DWW_year2[9204] = 6.0
DWW_year2[9205] = 5.0
DWW_year2[9206] = 7.5
DWW_year2[9207] = 1.0
DWW_year2[9212] = 6.0
DWW_year2[9213] = 6.0
DWW_year2[9214] = 2.0
DWW_year2[9215] = 1.0
DWW_year2[9222] = 2.0
DWW_year2[9223] = 1.0
DWW_year2[9254] = 2.5
DWW_year2[9255] = 0.5
DWW_year2[9262] = 2.5
DWW_year2[9263] = 0.5
DWW_year2[9288] = 1.5
DWW_year2[9289] = 9.5
DWW_year2[9290] = 6.0
DWW_year2[9307] = 7.0
DWW_year2[9308] = 1.0
DWW_year2[9310] = 2.5
DWW_year2[9311] = 0.5
DWW_year2[9312] = 8.0
DWW_year2[9313] = 0.5
DWW_year2[9314] = 4.0
DWW_year2[9316] = 0.5
DWW_year2[9318] = 4.5
DWW_year2[9319] = 4.0
DWW_year2[9320] = 0.5
DWW_year2[9322] = 1.5
DWW_year2[9323] = 9.5
DWW_year2[9325] = 4.5
DWW_year2[9330] = 5.5
DWW_year2[9331] = 3.0
DWW_year2[9338] = 2.5
# Sample 2
DWW_year2[9451] = 0.5
DWW_year2[9452] = 2.5
DWW_year2[9460] = 5.5
DWW_year2[9461] = 2.5
DWW_year2[9462] = 1.0
DWW_year2[9465] = 1.0
DWW_year2[9468] = 1.5
DWW_year2[9469] = 6.0
DWW_year2[9475] = 2.5
DWW_year2[9476] = 1.0
DWW_year2[9477] = 1.0
DWW_year2[9514] = 2.5
DWW_year2[9515] = 11.5
DWW_year2[9516] = 7.5
DWW_year2[9517] = 7.5
DWW_year2[9518] = 7.0
DWW_year2[9519] = 7.5
DWW_year2[9520] = 7.0
DWW_year2[9521] = 7.0
DWW_year2[9522] = 7.5
DWW_year2[9523] = 7.0
DWW_year2[9524] = 7.0
DWW_year2[9525] = 7.0
DWW_year2[9526] = 7.0
DWW_year2[9527] = 7.0
DWW_year2[9528] = 7.0
DWW_year2[9529] = 6.0
# Sample 3
DWW_year2[16457] = 1.0
DWW_year2[16459] = 0.5
DWW_year2[16460] = 2.5
DWW_year2[16461] = 0.5
DWW_year2[16467] = 1.0
DWW_year2[16468] = 2.0
DWW_year2[16469] = 1.5
DWW_year2[16470] = 0.5
DWW_year2[16471] = 5.0
DWW_year2[16472] = 3.5
DWW_year2[16473] = 2.0
DWW_year2[16474] = 1.5
DWW_year2[16475] = 1.0
DWW_year2[16476] = 2.0
DWW_year2[16481] = 2.5
DWW_year2[16483] = 0.5
DWW_year2[16484] = 4.0
DWW_year2[16485] = 3.0
DWW_year2[16486] = 3.5
DWW_year2[16487] = 4.0
DWW_year2[16488] = 5.5
DWW_year2[16489] = 3.5
DWW_year2[16490] = 3.0
DWW_year2[16491] = 4.5
DWW_year2[16492] = 5.5
DWW_year2[16493] = 3.0
DWW_year2[16494] = 5.0
DWW_year2[16495] = 7.0
DWW_year2[16496] = 7.0
DWW_year2[16497] = 7.0
DWW_year2[16498] = 1.0
DWW_year2[16499] = 1.0
DWW_year2[16500] = 2.0
DWW_year2[16501] = 3.0
DWW_year2[16502] = 6.5
DWW_year2[16503] = 4.0
DWW_year2[16507] = 4.0
DWW_year2[16508] = 4.5
DWW_year2[16509] = 1.0
DWW_year2[16512] = 4.5
DWW_year2[16513] = 6.5
DWW_year2[16514] = 6.5
DWW_year2[16515] = 3.0
DWW_year2[16516] = 3.5
DWW_year2[16517] = 5.0
DWW_year2[16518] = 7.0
DWW_year2[16519] = 2.5
DWW_year2[16521] = 5.0
DWW_year2[16524] = 0.5
DWW_year2[16528] = 0.5
DWW_year2[16529] = 2.5
DWW_year2[16536] = 0.5
DWW_year2[16537] = 2.5
# Sample 4
DWW_year2[16645] = 6.0
DWW_year2[16646] = 3.5
DWW_year2[16647] = 3.0
DWW_year2[16648] = 2.5
DWW_year2[16649] = 3.0
DWW_year2[16650] = 2.5
DWW_year2[16663] = 5.5
DWW_year2[16664] = 3.0
DWW_year2[16689] = 3.5
# Sample 5
DWW_year2[20782] = 0.5
DWW_year2[20784] = 1.0
DWW_year2[20785] = 2.0
DWW_year2[20786] = 0.5
DWW_year2[20789] = 5.0
DWW_year2[20793] = 2.5
DWW_year2[20794] = 0.5
DWW_year2[20801] = 2.5
DWW_year2[20802] = 0.5
DWW_year2[20809] = 2.5
DWW_year2[20810] = 0.5
DWW_year2[20817] = 2.0
DWW_year2[20818] = 1.0
DWW_year2[20825] = 2.0
DWW_year2[20826] = 0.5
DWW_year2[20864] = 1.0
DWW_year2[20865] = 2.0
DWW_year2[20872] = 1.0
DWW_year2[20873] = 2.0
DWW_year2[20876] = 3.0
DWW_year2[20877] = 7.0
# Sample 6
DWW_year2[21187] = 1.5
DWW_year2[21188] = 2.0
DWW_year2[21189] = 1.0
DWW_year2[21190] = 2.5
DWW_year2[21193] = 1.0
DWW_year2[21194] = 0.5
DWW_year2[21197] = 3.5
DWW_year2[21198] = 6.5
DWW_year2[21199] = 12.5
DWW_year2[21200] = 2.0
DWW_year2[21204] = 1.0
DWW_year2[21205] = 8.5
DWW_year2[21206] = 0.5
DWW_year2[21207] = 0.5
DWW_year2[21208] = 1.5
DWW_year2[21210] = 1.0
DWW_year2[21215] = 2.5
DWW_year2[21218] = 0.5
DWW_year2[21223] = 0.5
DWW_year2[21233] = 1.0
DWW_year2[21234] = 0.5
# Sample 7
DWW_year2[25414] = 8.0
DWW_year2[25415] = 8.5
DWW_year2[25416] = 10.0
DWW_year2[25417] = 7.0
DWW_year2[25418] = 6.5
DWW_year2[25419] = 7.0
DWW_year2[25420] = 7.0
DWW_year2[25421] = 3.0
DWW_year2[25423] = 1.0
DWW_year2[25424] = 4.0
DWW_year2[25425] = 0.5
DWW_year2[25427] = 1.0
DWW_year2[25428] = 0.5
DWW_year2[25431] = 1.0
DWW_year2[25432] = 2.0
DWW_year2[25439] = 1.0
DWW_year2[25440] = 2.0
DWW_year2[25443] = 2.5
DWW_year2[25445] = 1.5
DWW_year2[25447] = 1.0
DWW_year2[25448] = 2.0
DWW_year2[25455] = 1.0
DWW_year2[25456] = 2.0
DWW_year2[25490] = 1.0
DWW_year2[25491] = 2.0
DWW_year2[25498] = 1.0
DWW_year2[25499] = 2.0
DWW_year2[25503] = 0.5
DWW_year2[25504] = 1.0
DWW_year2[25505] = 1.5
DWW_year2[25506] = 5.0
DWW_year2[25507] = 8.5
DWW_year2[25508] = 0.5
DWW_year2[25509] = 1.5
DWW_year2[25510] = 6.5
DWW_year2[25511] = 0.5
DWW_year2[25514] = 1.0
DWW_year2[25515] = 1.5
DWW_year2[25517] = 1.0
DWW_year2[25518] = 1.5
DWW_year2[25519] = 1.0
DWW_year2[25525] = 3.5
DWW_year2[25526] = 3.5
DWW_year2[25536] = 1.5
# Sample 8
DWW_year2[25547] = 2.0
DWW_year2[25548] = 2.0
DWW_year2[25549] = 2.5
DWW_year2[25550] = 0.5
DWW_year2[25551] = 6.0
DWW_year2[25552] = 1.0
DWW_year2[25562] = 1.5
DWW_year2[25563] = 1.0
DWW_year2[25564] = 0.5
DWW_year2[25570] = 1.0
DWW_year2[25576] = 3.0
DWW_year2[25577] = 0.5
# Sample 9
DWW_year2[28536] = 0.5
DWW_year2[28539] = 2.5
DWW_year2[28540] = 0.5
DWW_year2[28547] = 2.5
DWW_year2[28548] = 0.5
DWW_year2[28550] = 0.5
DWW_year2[28551] = 4.5
DWW_year2[28552] = 12.0
DWW_year2[28553] = 16.5
DWW_year2[28554] = 11.5
DWW_year2[28555] = 2.5
DWW_year2[28556] = 0.5
DWW_year2[28559] = 8.0
DWW_year2[28560] = 15.0
DWW_year2[28561] = 5.0
DWW_year2[28563] = 2.5
DWW_year2[28564] = 0.5
DWW_year2[28567] = 0.5
DWW_year2[28571] = 2.5
DWW_year2[28572] = 0.5
DWW_year2[28579] = 2.5
DWW_year2[28580] = 0.5
DWW_year2[28581] = 5.0
DWW_year2[28582] = 2.0
DWW_year2[28590] = 1.0
DWW_year2[28592] = 2.0
DWW_year2[28599] = 1.5
DWW_year2[28600] = 17.5
DWW_year2[28601] = 7.0
DWW_year2[28602] = 7.5
DWW_year2[28603] = 7.0
DWW_year2[28604] = 7.0
DWW_year2[28605] = 7.0
DWW_year2[28606] = 7.0
DWW_year2[28607] = 7.5
DWW_year2[28608] = 7.0
DWW_year2[28609] = 7.0
DWW_year2[28610] = 7.0
DWW_year2[28611] = 7.0
DWW_year2[28612] = 7.0
DWW_year2[28613] = 5.0
DWW_year2[28615] = 0.5
DWW_year2[28616] = 2.0
DWW_year2[28617] = 0.5
DWW_year2[28622] = 6.5
DWW_year2[28623] = 7.5
DWW_year2[28624] = 9.0
DWW_year2[28625] = 7.5
DWW_year2[28626] = 7.0
DWW_year2[28627] = 7.0
DWW_year2[28628] = 7.0
DWW_year2[28629] = 7.0
DWW_year2[28630] = 6.5
DWW_year2[28631] = 7.0
DWW_year2[28632] = 7.0
DWW_year2[28633] = 7.0
DWW_year2[28634] = 6.5
DWW_year2[28635] = 7.0
DWW_year2[28636] = 4.5
DWW_year2[28639] = 2.5
DWW_year2[28643] = 0.5
DWW_year2[28644] = 0.5
DWW_year2[28645] = 0.5
DWW_year2[28646] = 0.5
DWW_year2[28647] = 1.0
DWW_year2[28671] = 1.0
DWW_year2[28674] = 3.5
DWW_year2[28675] = 4.5
DWW_year2[28678] = 2.5
DWW_year2[28679] = 6.5
DWW_year2[28680] = 9.0
DWW_year2[28681] = 7.5
DWW_year2[28682] = 7.0
DWW_year2[28683] = 7.0
DWW_year2[28684] = 7.0
DWW_year2[28685] = 6.5
DWW_year2[28686] = 7.0
DWW_year2[28687] = 7.0
DWW_year2[28688] = 6.5
DWW_year2[28689] = 7.0
DWW_year2[28690] = 7.0
DWW_year2[28699] = 0.5
DWW_year2[28700] = 0.5
DWW_year2[28703] = 6.0
DWW_year2[28704] = 2.5
# Sample 10
DWW_year2[34249] = 1.5
DWW_year2[34252] = 2.5
DWW_year2[34253] = 4.5
DWW_year2[34254] = 0.5
DWW_year2[34255] = 2.0
DWW_year2[34256] = 2.5
DWW_year2[34257] = 0.5
DWW_year2[34259] = 5.0
DWW_year2[34260] = 8.5
DWW_year2[34261] = 7.0
DWW_year2[34262] = 6.5
DWW_year2[34263] = 7.0
DWW_year2[34264] = 7.0
DWW_year2[34265] = 0.5
DWW_year2[34266] = 1.5
DWW_year2[34268] = 2.5
DWW_year2[34269] = 12.5
DWW_year2[34270] = 15.0
DWW_year2[34271] = 8.0
DWW_year2[34273] = 1.0
DWW_year2[34274] = 6.0
DWW_year2[34275] = 17.0
DWW_year2[34276] = 17.0
DWW_year2[34277] = 2.5
DWW_year2[34281] = 3.0
DWW_year2[34283] = 1.5
DWW_year2[34284] = 2.5
DWW_year2[34291] = 0.5
DWW_year2[34292] = 2.0
DWW_year2[34293] = 0.5
DWW_year2[34300] = 4.0
DWW_year2[34301] = 3.0
DWW_year2[34302] = 12.5
DWW_year2[34303] = 5.5
DWW_year2[34304] = 6.0
DWW_year2[34306] = 0.5
DWW_year2[34307] = 1.0
DWW_year2[34308] = 4.5
DWW_year2[34309] = 1.5
DWW_year2[34319] = 2.0
DWW_year2[34320] = 1.0
DWW_year2[34327] = 4.0
DWW_year2[34328] = 1.0
DWW_year2[34333] = 1.5
DWW_year2[34337] = 6.0
DWW_year2[34338] = 2.0
DWW_year2[34340] = 1.0
DWW_year2[34342] = 1.5
DWW_year2[34348] = 10.5
DWW_year2[34349] = 2.5
DWW_year2[34350] = 2.5
DWW_year2[34351] = 2.5
DWW_year2[34361] = 1.5
DWW_year2[34362] = 15.5
DWW_year2[34363] = 7.5
DWW_year2[34364] = 7.5
DWW_year2[34365] = 7.0
DWW_year2[34366] = 7.0
DWW_year2[34367] = 7.0
DWW_year2[34368] = 7.0
DWW_year2[34369] = 7.5
DWW_year2[34370] = 7.0
DWW_year2[34371] = 6.0
DWW_year2[34373] = 0.5
DWW_year2[34374] = 0.5
# Sample 11
DWW_year2[34403] = 1.5
DWW_year2[34404] = 1.5
DWW_year2[34423] = 1.0
DWW_year2[34424] = 0.5
DWW_year2[34426] = 0.5
DWW_year2[34447] = 1.0
DWW_year2[34450] = 1.5
DWW_year2[34451] = 5.0
# Sample 12
DWW_year2[38643] = 1.5
DWW_year2[38644] = 1.5
DWW_year2[38650] = 3.5
DWW_year2[38651] = 1.0
DWW_year2[38652] = 2.0
DWW_year2[38653] = 5.5
DWW_year2[38654] = 2.0
DWW_year2[38658] = 7.0
DWW_year2[38659] = 1.5
DWW_year2[38660] = 16.5
DWW_year2[38661] = 18.0
DWW_year2[38662] = 9.5
DWW_year2[38663] = 1.0
DWW_year2[38664] = 0.5
DWW_year2[38665] = 3.0
DWW_year2[38667] = 1.0
DWW_year2[38668] = 2.0
DWW_year2[38675] = 1.0
DWW_year2[38676] = 2.0
DWW_year2[38677] = 16.0
DWW_year2[38678] = 8.5
DWW_year2[38679] = 7.0
DWW_year2[38680] = 7.0
DWW_year2[38681] = 7.5
DWW_year2[38682] = 7.0
DWW_year2[38683] = 8.0
DWW_year2[38684] = 8.5
DWW_year2[38685] = 7.0
DWW_year2[38686] = 7.0
DWW_year2[38687] = 7.0
DWW_year2[38688] = 7.0
DWW_year2[38689] = 7.0
DWW_year2[38690] = 5.5
DWW_year2[38698] = 9.5
DWW_year2[38699] = 7.5
DWW_year2[38700] = 7.0
DWW_year2[38701] = 6.5
DWW_year2[38702] = 7.0
DWW_year2[38703] = 7.0
DWW_year2[38704] = 7.0
DWW_year2[38705] = 7.0
DWW_year2[38706] = 7.0
DWW_year2[38707] = 6.5
DWW_year2[38708] = 7.0
DWW_year2[38709] = 7.0
DWW_year2[38710] = 8.0
DWW_year2[38711] = 8.5
DWW_year2[38712] = 7.0
DWW_year2[38718] = 1.5
DWW_year2[38719] = 2.0
# Sample 13
DWW_year2[38764] = 1.0
DWW_year2[38765] = 1.5
# Sample 14
DWW_year2[44218] = 2.5
DWW_year2[44219] = 3.5
DWW_year2[44220] = 1.0
DWW_year2[44221] = 2.5
DWW_year2[44222] = 1.0
DWW_year2[44223] = 2.0
DWW_year2[44228] = 0.5
DWW_year2[44229] = 2.0
DWW_year2[44230] = 0.5
DWW_year2[44237] = 2.5
DWW_year2[44238] = 0.5
DWW_year2[44245] = 2.5
DWW_year2[44246] = 0.5
DWW_year2[44253] = 2.5
DWW_year2[44254] = 0.5
DWW_year2[44259] = 1.0
DWW_year2[44261] = 2.5
DWW_year2[44262] = 0.5
DWW_year2[44273] = 1.5
DWW_year2[44282] = 2.0
DWW_year2[44286] = 6.5
DWW_year2[44287] = 6.0
DWW_year2[44288] = 3.0
DWW_year2[44298] = 2.0
DWW_year2[44299] = 1.0
DWW_year2[44304] = 1.0
DWW_year2[44305] = 0.5
DWW_year2[44306] = 1.5
DWW_year2[44307] = 2.5
DWW_year2[44309] = 2.0
DWW_year2[44310] = 6.0
DWW_year2[44311] = 1.0
DWW_year2[44315] = 1.0
DWW_year2[44318] = 5.5
DWW_year2[44319] = 2.5
DWW_year2[44326] = 0.5
DWW_year2[44331] = 2.5
DWW_year2[44333] = 0.5
# Sample 15
DWW_year2[44365] = 1.0
DWW_year2[44366] = 2.0
DWW_year2[44391] = 0.5
DWW_year2[44394] = 1.0
DWW_year2[44395] = 2.5
# Sample 16
DWW_year2[47161] = 0.5
DWW_year2[47162] = 1.0
DWW_year2[47163] = 1.5
DWW_year2[47164] = 2.5
DWW_year2[47165] = 5.0
DWW_year2[47166] = 15.5
DWW_year2[47167] = 15.5
DWW_year2[47168] = 8.0
DWW_year2[47169] = 4.5
DWW_year2[47171] = 0.5
DWW_year2[47172] = 2.0
DWW_year2[47173] = 3.5
DWW_year2[47174] = 1.5
DWW_year2[47175] = 3.5
DWW_year2[47176] = 11.0
DWW_year2[47177] = 14.0
DWW_year2[47178] = 7.0
DWW_year2[47179] = 7.5
DWW_year2[47180] = 9.5
DWW_year2[47181] = 2.0
DWW_year2[47183] = 0.5
DWW_year2[47187] = 0.5
DWW_year2[47188] = 2.5
DWW_year2[47189] = 0.5
DWW_year2[47195] = 0.5
DWW_year2[47196] = 2.5
DWW_year2[47201] = 4.5
DWW_year2[47202] = 1.5
DWW_year2[47203] = 0.5
DWW_year2[47204] = 2.5
DWW_year2[47213] = 1.0
DWW_year2[47214] = 0.5
DWW_year2[47217] = 0.5
DWW_year2[47235] = 2.5
DWW_year2[47236] = 0.5
DWW_year2[47238] = 1.0
DWW_year2[47243] = 2.5
DWW_year2[47244] = 0.5
DWW_year2[47247] = 0.5
DWW_year2[47248] = 0.5
DWW_year2[47270] = 1.0
DWW_year2[47277] = 0.5
DWW_year2[47278] = 4.5
DWW_year2[47279] = 1.0
DWW_year2[47281] = 0.5
DWW_year2[47282] = 0.5
DWW_year2[47283] = 2.5
# Sample 17
DWW_year2[54121] = 1.0
DWW_year2[54122] = 3.0
DWW_year2[54123] = 4.0
DWW_year2[54124] = 1.0
DWW_year2[54129] = 0.5
DWW_year2[54130] = 1.0
DWW_year2[54131] = 2.0
DWW_year2[54132] = 1.0
DWW_year2[54136] = 1.5
DWW_year2[54139] = 1.5
DWW_year2[54140] = 1.5
DWW_year2[54147] = 1.5
DWW_year2[54148] = 1.5
DWW_year2[54155] = 1.5
DWW_year2[54156] = 1.5
DWW_year2[54163] = 1.5
DWW_year2[54164] = 1.5
DWW_year2[54198] = 1.0
DWW_year2[54199] = 2.0
DWW_year2[54206] = 1.0
DWW_year2[54207] = 1.5
DWW_year2[54277] = 1.5
# Sample 18
DWW_year2[54279] = 5.5
DWW_year2[54280] = 7.5
DWW_year2[54281] = 9.5
DWW_year2[54282] = 19.0
DWW_year2[54283] = 17.5
DWW_year2[54284] = 17.5
DWW_year2[54285] = 3.5
DWW_year2[54286] = 5.0
DWW_year2[54287] = 1.0
DWW_year2[54288] = 4.5
DWW_year2[54290] = 3.5
DWW_year2[54291] = 10.0
DWW_year2[54292] = 11.5
DWW_year2[54293] = 10.5
DWW_year2[54294] = 14.5
DWW_year2[54295] = 3.5
DWW_year2[54296] = 5.0
DWW_year2[54297] = 3.0
DWW_year2[54299] = 2.0
DWW_year2[54300] = 2.5
DWW_year2[54301] = 2.5
DWW_year2[54303] = 1.0
# Sample 19
DWW_year2[58220] = 0.5
DWW_year2[58222] = 2.5
DWW_year2[58223] = 0.5
DWW_year2[58228] = 0.5
DWW_year2[58229] = 0.5
DWW_year2[58230] = 2.0
DWW_year2[58231] = 1.0
DWW_year2[58232] = 1.0
DWW_year2[58238] = 2.0
DWW_year2[58239] = 2.0
DWW_year2[58240] = 1.0
DWW_year2[58241] = 5.0
DWW_year2[58242] = 1.5
DWW_year2[58246] = 2.0
DWW_year2[58247] = 1.0
DWW_year2[58254] = 2.0
DWW_year2[58255] = 1.0
DWW_year2[58262] = 2.0
DWW_year2[58263] = 1.0
DWW_year2[58278] = 5.0
DWW_year2[58279] = 2.5
DWW_year2[58285] = 0.5
DWW_year2[58298] = 2.5
DWW_year2[58299] = 0.5
DWW_year2[58306] = 2.0
DWW_year2[58307] = 1.0
DWW_year2[58360] = 0.5
DWW_year2[58362] = 2.5
DWW_year2[58363] = 5.0
DWW_year2[58364] = 0.5
DWW_year2[58369] = 1.0
DWW_year2[58375] = 5.0
DWW_year2[58376] = 3.0
# Sample 20
DWW_year2[58499] = 3.5
DWW_year2[58501] = 3.0
DWW_year2[58502] = 5.0
DWW_year2[58503] = 1.0
DWW_year2[58507] = 6.5
DWW_year2[58508] = 4.0
DWW_year2[58517] = 5.5
DWW_year2[58518] = 1.5
DWW_year2[58524] = 0.5
DWW_year2[58528] = 5.5
DWW_year2[58529] = 2.5
DWW_year2[58532] = 0.5
DWW_year2[58536] = 1.0
DWW_year2[58537] = 1.0
DWW_year2[58539] = 1.0
DWW_year2[58544] = 0.5
DWW_year2[58545] = 6.5
DWW_year2[58546] = 1.0
# Sample 21
DWW_year2[62815] = 0.5
DWW_year2[62816] = 4.5
DWW_year2[62818] = 2.5
DWW_year2[62819] = 2.5
DWW_year2[62820] = 2.5
DWW_year2[62821] = 6.0
DWW_year2[62822] = 6.5
DWW_year2[62823] = 6.5
DWW_year2[62824] = 7.0
DWW_year2[62825] = 6.5
DWW_year2[62826] = 9.5
DWW_year2[62827] = 7.5
DWW_year2[62828] = 2.5
DWW_year2[62829] = 7.0
DWW_year2[62830] = 2.5
DWW_year2[62831] = 1.5
DWW_year2[62832] = 2.0
DWW_year2[62834] = 2.5
DWW_year2[62835] = 0.5
DWW_year2[62842] = 2.5
DWW_year2[62843] = 0.5
DWW_year2[62850] = 2.5
DWW_year2[62851] = 0.5
DWW_year2[62858] = 2.5
DWW_year2[62859] = 0.5
DWW_year2[62891] = 2.0
DWW_year2[62892] = 1.0
DWW_year2[62896] = 2.0
DWW_year2[62897] = 4.5
DWW_year2[62899] = 2.0
DWW_year2[62900] = 1.0
DWW_year2[62921] = 4.0
DWW_year2[62922] = 6.0
DWW_year2[62923] = 6.5
# Sample 22
DWW_year2[62969] = 1.0
DWW_year2[62970] = 0.5
DWW_year2[62971] = 6.5
DWW_year2[62972] = 1.0
DWW_year2[62973] = 1.0
DWW_year2[62974] = 0.5
DWW_year2[62981] = 0.5
DWW_year2[62982] = 0.5
DWW_year2[62985] = 1.0
DWW_year2[62986] = 1.0
DWW_year2[62988] = 6.0
DWW_year2[62989] = 3.5
DWW_year2[62998] = 1.0
DWW_year2[63003] = 0.5
DWW_year2[63008] = 0.5
# Sample 23
DWW_year2[67392] = 3.0
DWW_year2[67394] = 10.5
DWW_year2[67395] = 18.0
DWW_year2[67396] = 17.5
DWW_year2[67397] = 7.0
DWW_year2[67399] = 5.0
DWW_year2[67400] = 5.5
DWW_year2[67401] = 4.0
DWW_year2[67402] = 5.0
DWW_year2[67403] = 7.0
DWW_year2[67404] = 4.0
DWW_year2[67405] = 4.5
DWW_year2[67406] = 4.0
DWW_year2[67407] = 4.5
DWW_year2[67408] = 5.0
DWW_year2[67409] = 7.0
DWW_year2[67410] = 7.5
DWW_year2[67411] = 9.5
DWW_year2[67412] = 5.5
DWW_year2[67413] = 6.5
DWW_year2[67414] = 7.0
DWW_year2[67415] = 7.0
DWW_year2[67416] = 5.0
DWW_year2[67418] = 1.0
DWW_year2[67419] = 9.0
DWW_year2[67420] = 0.5
DWW_year2[67421] = 0.5
DWW_year2[67422] = 3.5
DWW_year2[67423] = 1.0
DWW_year2[67424] = 5.5
DWW_year2[67426] = 0.5
DWW_year2[67427] = 2.5
DWW_year2[67430] = 2.0
DWW_year2[67431] = 1.5
DWW_year2[67432] = 7.0
DWW_year2[67433] = 7.0
DWW_year2[67434] = 4.5
DWW_year2[67435] = 2.0
DWW_year2[67437] = 2.0
DWW_year2[67438] = 6.0
DWW_year2[67439] = 7.0
DWW_year2[67440] = 7.0
DWW_year2[67442] = 0.5
DWW_year2[67443] = 0.5
DWW_year2[67454] = 0.5
DWW_year2[67455] = 2.0
DWW_year2[67462] = 1.0
DWW_year2[67463] = 2.0
DWW_year2[67464] = 3.5
DWW_year2[67465] = 4.0
DWW_year2[67466] = 0.5
DWW_year2[67469] = 1.5
DWW_year2[67485] = 0.5
DWW_year2[67486] = 0.5
DWW_year2[67487] = 3.0
DWW_year2[67491] = 1.0
DWW_year2[67493] = 2.5
DWW_year2[67502] = 3.0
DWW_year2[67503] = 16.0
DWW_year2[67504] = 7.5
DWW_year2[67505] = 7.0
DWW_year2[67506] = 7.0
DWW_year2[67507] = 7.0
DWW_year2[67508] = 7.0
DWW_year2[67509] = 7.0
DWW_year2[67510] = 4.5
DWW_year2[67520] = 8.0
DWW_year2[67521] = 7.5
DWW_year2[67522] = 7.0
DWW_year2[67523] = 7.0
DWW_year2[67524] = 7.0
DWW_year2[67525] = 7.5
DWW_year2[67526] = 7.0
DWW_year2[67527] = 7.0
DWW_year2[67528] = 7.0
DWW_year2[67529] = 7.0
DWW_year2[67530] = 7.0
DWW_year2[67534] = 0.5
# Sample 24
DWW_year2[67539] = 0.5
DWW_year2[67540] = 2.5
DWW_year2[67547] = 0.5
DWW_year2[67548] = 2.5
DWW_year2[67555] = 0.5
DWW_year2[67556] = 2.0
DWW_year2[67563] = 1.0
DWW_year2[67564] = 2.0
DWW_year2[67595] = 2.0
DWW_year2[67596] = 1.0
DWW_year2[67603] = 1.5
DWW_year2[67604] = 1.5
DWW_year2[67635] = 1.0
DWW_year2[67636] = 9.0
DWW_year2[67637] = 0.5
DWW_year2[67638] = 2.0
DWW_year2[67639] = 0.5
DWW_year2[67640] = 6.5
DWW_year2[67642] = 0.5
DWW_year2[67643] = 6.0
# Sample 25
DWW_year2[68226] = 1.5
DWW_year2[68227] = 1.5
DWW_year2[68229] = 0.5
DWW_year2[68230] = 1.0
DWW_year2[68234] = 0.5
DWW_year2[68235] = 1.5
DWW_year2[68247] = 3.5
DWW_year2[68248] = 1.5
DWW_year2[68249] = 4.0
DWW_year2[68255] = 1.5
DWW_year2[68259] = 3.5
DWW_year2[68262] = 2.0
DWW_year2[68266] = 2.0
DWW_year2[68267] = 1.0
DWW_year2[68278] = 1.0
# Sample 26
DWW_year2[73159] = 1.0
DWW_year2[73160] = 2.5
DWW_year2[73161] = 17.0
DWW_year2[73162] = 16.5
DWW_year2[73163] = 16.0
DWW_year2[73164] = 1.5
DWW_year2[73169] = 2.0
DWW_year2[73170] = 5.5
DWW_year2[73171] = 13.5
DWW_year2[73172] = 6.0
DWW_year2[73173] = 6.5
DWW_year2[73174] = 7.0
DWW_year2[73175] = 6.5
DWW_year2[73176] = 7.0
DWW_year2[73177] = 2.0
DWW_year2[73178] = 1.5
DWW_year2[73180] = 0.5
DWW_year2[73181] = 1.5
DWW_year2[73185] = 2.0
DWW_year2[73186] = 1.0
DWW_year2[73193] = 2.0
DWW_year2[73194] = 1.0
DWW_year2[73200] = 1.0
DWW_year2[73201] = 2.0
DWW_year2[73202] = 1.5
DWW_year2[73204] = 7.5
DWW_year2[73205] = 1.0
DWW_year2[73208] = 0.5
DWW_year2[73209] = 9.0
DWW_year2[73212] = 9.5
DWW_year2[73213] = 7.0
DWW_year2[73214] = 7.0
DWW_year2[73215] = 7.0
DWW_year2[73216] = 7.0
DWW_year2[73217] = 7.0
DWW_year2[73218] = 7.0
DWW_year2[73219] = 7.0
DWW_year2[73220] = 7.0
DWW_year2[73221] = 6.5
DWW_year2[73222] = 7.0
DWW_year2[73223] = 1.0
DWW_year2[73226] = 5.5
DWW_year2[73231] = 1.5
DWW_year2[73232] = 4.5
DWW_year2[73234] = 0.5
DWW_year2[73235] = 2.5
DWW_year2[73242] = 0.5
DWW_year2[73243] = 2.5
DWW_year2[73285] = 0.5
DWW_year2[73305] = 3.5
DWW_year2[73306] = 4.5
DWW_year2[73309] = 0.5
DWW_year2[73310] = 7.0
DWW_year2[73311] = 7.0
DWW_year2[73312] = 7.0
DWW_year2[73313] = 7.5
DWW_year2[73314] = 7.0
DWW_year2[73315] = 7.0
DWW_year2[73316] = 7.5
# Sample 27
DWW_year2[73334] = 1.0
DWW_year2[73336] = 1.0
DWW_year2[73337] = 2.0
DWW_year2[73348] = 0.5
DWW_year2[73388] = 10.0
DWW_year2[73390] = 0.5
DWW_year2[73391] = 1.0
DWW_year2[73392] = 1.5
DWW_year2[73393] = 4.5
# Sample 28
DWW_year2[77622] = 8.0
DWW_year2[77623] = 7.0
DWW_year2[77624] = 7.5
DWW_year2[77625] = 8.0
DWW_year2[77626] = 1.0
DWW_year2[77629] = 5.0
DWW_year2[77630] = 4.0
DWW_year2[77632] = 5.0
DWW_year2[77633] = 9.5
DWW_year2[77634] = 8.0
DWW_year2[77635] = 7.5
DWW_year2[77636] = 7.0
DWW_year2[77637] = 7.0
DWW_year2[77638] = 7.0
DWW_year2[77639] = 7.0
DWW_year2[77640] = 9.5
DWW_year2[77641] = 14.5
DWW_year2[77642] = 7.5
DWW_year2[77643] = 7.0
DWW_year2[77644] = 7.0
DWW_year2[77645] = 6.5
DWW_year2[77646] = 7.0
DWW_year2[77647] = 2.0
DWW_year2[77649] = 3.5
DWW_year2[77650] = 0.5
DWW_year2[77651] = 0.5
DWW_year2[77652] = 1.5
DWW_year2[77653] = 1.0
DWW_year2[77654] = 15.0
DWW_year2[77655] = 7.0
DWW_year2[77656] = 10.0
DWW_year2[77657] = 13.5
DWW_year2[77658] = 7.5
DWW_year2[77659] = 7.0
DWW_year2[77660] = 7.0
DWW_year2[77661] = 7.0
DWW_year2[77662] = 1.5
DWW_year2[77665] = 2.0
DWW_year2[77666] = 1.0
DWW_year2[77675] = 3.5
DWW_year2[77676] = 3.5
DWW_year2[77683] = 2.0
DWW_year2[77684] = 1.0
DWW_year2[77691] = 2.0
DWW_year2[77692] = 1.0
DWW_year2[77712] = 0.5
DWW_year2[77713] = 2.5
DWW_year2[77714] = 7.0
DWW_year2[77715] = 3.5
DWW_year2[77755] = 1.5
DWW_year2[77756] = 2.0
# Sample 29
DWW_year2[78327] = 2.0
DWW_year2[78328] = 1.5
DWW_year2[78329] = 3.5
DWW_year2[78330] = 2.5
DWW_year2[78332] = 1.5
DWW_year2[78333] = 1.0
DWW_year2[78334] = 4.5
DWW_year2[78336] = 1.0
DWW_year2[78337] = 4.0
DWW_year2[78338] = 3.0
DWW_year2[78339] = 0.5
DWW_year2[78341] = 1.0
DWW_year2[78342] = 2.0
DWW_year2[78344] = 1.5
DWW_year2[78345] = 4.0
DWW_year2[78346] = 1.5
DWW_year2[78348] = 1.5
DWW_year2[78349] = 9.0
DWW_year2[78350] = 3.5
DWW_year2[78352] = 1.0
DWW_year2[78353] = 1.5
DWW_year2[78354] = 1.5
DWW_year2[78359] = 1.0
DWW_year2[78365] = 0.5
DWW_year2[78371] = 0.5
DWW_year2[78372] = 1.0
DWW_year2[78373] = 0.5
DWW_year2[78376] = 1.0
DWW_year2[78377] = 2.0
DWW_year2[78378] = 0.5
DWW_year2[78384] = 1.0
DWW_year2[78385] = 2.0
DWW_year2[78405] = 6.0
DWW_year2[78406] = 1.5
DWW_year2[78408] = 0.5
# Sample 30
DWW_year2[84326] = 2.0
DWW_year2[84329] = 3.0
DWW_year2[84330] = 2.5
DWW_year2[84337] = 2.0
DWW_year2[84338] = 1.0
DWW_year2[84345] = 2.0
DWW_year2[84346] = 1.0
DWW_year2[84351] = 6.5
DWW_year2[84352] = 1.0
DWW_year2[84353] = 1.5
DWW_year2[84354] = 1.0
DWW_year2[84361] = 2.0
DWW_year2[84362] = 1.0
DWW_year2[84369] = 2.0
DWW_year2[84370] = 1.0
DWW_year2[84403] = 0.5
DWW_year2[84404] = 2.0
DWW_year2[84405] = 0.5
DWW_year2[84412] = 2.5
DWW_year2[84413] = 0.5
DWW_year2[84451] = 0.5
DWW_year2[84456] = 1.0
DWW_year2[84459] = 3.5
DWW_year2[84460] = 2.5
# Sample 31
DWW_year2[84472] = 2.0
DWW_year2[84473] = 1.0
DWW_year2[84479] = 5.0
DWW_year2[84480] = 1.0
DWW_year2[84491] = 1.0
DWW_year2[84492] = 5.5
DWW_year2[84493] = 3.0
# Sample 32
DWW_year2[87599] = 0.5
DWW_year2[87600] = 8.5
DWW_year2[87601] = 4.0
DWW_year2[87602] = 2.0
DWW_year2[87603] = 8.0
DWW_year2[87604] = 13.5
DWW_year2[87605] = 16.0
DWW_year2[87606] = 8.5
DWW_year2[87607] = 7.5
DWW_year2[87608] = 7.0
DWW_year2[87609] = 1.5
DWW_year2[87610] = 3.5
DWW_year2[87611] = 1.0
DWW_year2[87612] = 2.0
DWW_year2[87618] = 10.0
DWW_year2[87619] = 5.0
DWW_year2[87626] = 2.5
DWW_year2[87627] = 0.5
DWW_year2[87634] = 2.5
DWW_year2[87635] = 0.5
DWW_year2[87639] = 1.0
DWW_year2[87641] = 4.5
DWW_year2[87642] = 6.5
DWW_year2[87643] = 2.0
DWW_year2[87644] = 4.0
DWW_year2[87645] = 1.0
DWW_year2[87648] = 0.5
DWW_year2[87650] = 17.5
DWW_year2[87651] = 7.0
DWW_year2[87652] = 7.0
DWW_year2[87653] = 7.5
DWW_year2[87654] = 7.0
DWW_year2[87655] = 7.0
DWW_year2[87656] = 6.5
DWW_year2[87657] = 7.0
DWW_year2[87658] = 2.5
DWW_year2[87661] = 0.5
DWW_year2[87663] = 0.5
DWW_year2[87664] = 6.0
DWW_year2[87665] = 7.5
DWW_year2[87666] = 9.5
DWW_year2[87667] = 7.5
DWW_year2[87668] = 7.0
DWW_year2[87669] = 7.5
DWW_year2[87670] = 7.0
DWW_year2[87671] = 7.0
DWW_year2[87672] = 7.0
DWW_year2[87673] = 7.5
DWW_year2[87674] = 9.0
DWW_year2[87675] = 6.0
DWW_year2[87683] = 1.0
DWW_year2[87684] = 1.0
DWW_year2[87685] = 0.5
DWW_year2[87688] = 0.5
DWW_year2[87693] = 0.5
DWW_year2[87730] = 0.5
# Sample 33
DWW_year2[87749] = 12.0
DWW_year2[87750] = 5.0
DWW_year2[87751] = 1.0
DWW_year2[87756] = 0.5
DWW_year2[87760] = 0.5
DWW_year2[87810] = 2.0
DWW_year2[87811] = 6.0
DWW_year2[87812] = 0.5
# Sample 34
DWW_year2[91937] = 0.5
DWW_year2[91940] = 3.5
DWW_year2[91941] = 1.0
DWW_year2[91948] = 2.5
DWW_year2[91949] = 2.0
DWW_year2[91950] = 19.0
DWW_year2[91951] = 7.0
DWW_year2[91952] = 7.5
DWW_year2[91953] = 7.0
DWW_year2[91954] = 7.0
DWW_year2[91955] = 7.0
DWW_year2[91956] = 9.5
DWW_year2[91957] = 6.5
DWW_year2[91964] = 2.5
DWW_year2[91965] = 0.5
DWW_year2[91966] = 0.5
DWW_year2[91971] = 0.5
DWW_year2[91972] = 2.0
DWW_year2[91973] = 0.5
DWW_year2[91979] = 0.5
DWW_year2[91980] = 3.5
DWW_year2[91981] = 2.5
DWW_year2[91992] = 3.0
DWW_year2[92012] = 1.0
DWW_year2[92013] = 2.0
DWW_year2[92018] = 1.0
DWW_year2[92020] = 0.5
DWW_year2[92021] = 5.0
DWW_year2[92022] = 5.5
DWW_year2[92023] = 0.5
DWW_year2[92038] = 1.0
DWW_year2[92041] = 0.5
DWW_year2[92044] = 1.5
DWW_year2[92046] = 1.0
DWW_year2[92047] = 0.5
DWW_year2[92052] = 7.0
DWW_year2[92053] = 1.0
DWW_year2[92091] = 7.0
DWW_year2[92092] = 1.0
# Sample 35
DWW_year2[92610] = 2.5
DWW_year2[92614] = 1.5
DWW_year2[92615] = 1.5
DWW_year2[92616] = 3.0
DWW_year2[92617] = 1.0
DWW_year2[92618] = 5.5
DWW_year2[92619] = 3.5
DWW_year2[92620] = 5.0
DWW_year2[92621] = 3.0
DWW_year2[92622] = 1.5
DWW_year2[92623] = 4.0
DWW_year2[92624] = 0.5
DWW_year2[92630] = 1.0
DWW_year2[92631] = 2.0
DWW_year2[92632] = 1.0
DWW_year2[92633] = 1.0
DWW_year2[92638] = 1.5
DWW_year2[92639] = 1.5
DWW_year2[92640] = 1.0
DWW_year2[92642] = 0.5
DWW_year2[92674] = 2.5
DWW_year2[92675] = 0.5
DWW_year2[92682] = 2.0
DWW_year2[92683] = 1.0
DWW_year2[92719] = 0.5
DWW_year2[92720] = 0.5
DWW_year2[92721] = 2.0
DWW_year2[92722] = 2.0
DWW_year2[92724] = 1.5
DWW_year2[92725] = 0.5
DWW_year2[92726] = 7.5
DWW_year2[92727] = 7.5
DWW_year2[92728] = 6.5
DWW_year2[92729] = 1.5
DWW_year2[92730] = 0.5
# Sample 36
DWW_year2[98638] = 1.0
DWW_year2[98640] = 0.5
DWW_year2[98641] = 2.5
DWW_year2[98642] = 4.5
DWW_year2[98643] = 1.0
DWW_year2[98644] = 1.0
DWW_year2[98645] = 5.5
DWW_year2[98648] = 1.0
DWW_year2[98649] = 6.0
DWW_year2[98650] = 4.5
DWW_year2[98651] = 4.5
DWW_year2[98652] = 5.0
DWW_year2[98653] = 4.5
DWW_year2[98654] = 5.0
DWW_year2[98655] = 4.5
DWW_year2[98656] = 5.5
DWW_year2[98657] = 7.0
DWW_year2[98658] = 4.5
DWW_year2[98659] = 1.0
DWW_year2[98660] = 2.0
DWW_year2[98661] = 2.5
DWW_year2[98662] = 6.5
DWW_year2[98664] = 0.5
DWW_year2[98665] = 2.5
DWW_year2[98666] = 5.5
DWW_year2[98667] = 4.0
DWW_year2[98668] = 6.5
DWW_year2[98669] = 3.5
DWW_year2[98672] = 0.5
DWW_year2[98673] = 8.0
DWW_year2[98674] = 6.5
DWW_year2[98677] = 1.0
DWW_year2[98678] = 5.5
DWW_year2[98680] = 1.0
DWW_year2[98681] = 2.5
DWW_year2[98683] = 0.5
DWW_year2[98687] = 0.5
DWW_year2[98703] = 0.5
DWW_year2[98704] = 2.5
DWW_year2[98705] = 0.5
DWW_year2[98706] = 3.0
DWW_year2[98707] = 4.0
DWW_year2[98708] = 3.0
DWW_year2[98710] = 5.0
DWW_year2[98711] = 4.0
DWW_year2[98712] = 8.5
DWW_year2[98713] = 7.5
DWW_year2[98714] = 1.5
DWW_year2[98716] = 0.5
DWW_year2[98720] = 0.5
DWW_year2[98721] = 1.0
DWW_year2[98723] = 0.5
DWW_year2[98724] = 0.5
DWW_year2[98726] = 0.5
DWW_year2[98728] = 0.5
DWW_year2[98729] = 0.5
DWW_year2[98732] = 1.0
DWW_year2[98736] = 0.5
DWW_year2[98737] = 0.5
DWW_year2[98738] = 0.5
# Sample 37
DWW_year2[98879] = 2.0
DWW_year2[98880] = 11.5
DWW_year2[98881] = 5.5
DWW_year2[98882] = 2.0
DWW_year2[98883] = 4.0
DWW_year2[98884] = 3.0
DWW_year2[98891] = 0.5
DWW_year2[98956] = 1.0
# Sample 38
DWW_year2[104800] = 1.5
DWW_year2[104801] = 1.5
DWW_year2[104802] = 5.0
DWW_year2[104804] = 3.0
DWW_year2[104806] = 3.0
DWW_year2[104807] = 5.5
DWW_year2[104808] = 5.5
DWW_year2[104809] = 6.0
DWW_year2[104810] = 8.0
DWW_year2[104811] = 0.5
DWW_year2[104814] = 2.5
DWW_year2[104815] = 6.5
DWW_year2[104816] = 6.0
DWW_year2[104817] = 1.0
DWW_year2[104818] = 2.0
DWW_year2[104821] = 5.0
DWW_year2[104822] = 6.5
DWW_year2[104823] = 3.5
DWW_year2[104825] = 0.5
DWW_year2[104826] = 2.5
DWW_year2[104828] = 2.5
DWW_year2[104829] = 6.5
DWW_year2[104830] = 5.0
DWW_year2[104833] = 1.0
DWW_year2[104834] = 2.0
DWW_year2[104835] = 4.0
DWW_year2[104836] = 5.5
DWW_year2[104837] = 3.5
DWW_year2[104838] = 0.5
DWW_year2[104839] = 0.5
DWW_year2[104840] = 1.0
DWW_year2[104841] = 1.0
DWW_year2[104842] = 2.5
DWW_year2[104866] = 1.5
DWW_year2[104867] = 1.5
DWW_year2[104874] = 1.5
DWW_year2[104875] = 1.0
DWW_year2[104887] = 2.0
DWW_year2[104888] = 6.0
DWW_year2[104890] = 1.0
DWW_year2[104891] = 0.5
DWW_year2[104893] = 0.5
DWW_year2[104894] = 2.5
DWW_year2[104896] = 1.0
DWW_year2[104897] = 1.5
DWW_year2[104899] = 1.5
DWW_year2[104909] = 1.5
DWW_year2[104910] = 0.5
DWW_year2[104913] = 0.5
DWW_year2[104914] = 1.0
DWW_year2[104917] = 1.0
DWW_year2[104922] = 2.0
DWW_year2[104923] = 13.5
DWW_year2[104924] = 19.0
DWW_year2[104925] = 4.5
DWW_year2[104926] = 2.0
DWW_year2[104930] = 1.0
DWW_year2[104934] = 6.0
DWW_year2[104935] = 2.0
DWW_year2[104936] = 1.0
DWW_year2[104937] = 15.5
DWW_year2[104938] = 8.5
DWW_year2[104939] = 7.0
DWW_year2[104940] = 7.5
DWW_year2[104941] = 10.0
DWW_year2[104942] = 7.5
DWW_year2[104943] = 7.5
DWW_year2[104944] = 7.0
DWW_year2[104945] = 7.0
DWW_year2[104946] = 7.0
DWW_year2[104947] = 7.5
DWW_year2[104948] = 13.5
DWW_year2[104949] = 11.5
# Sample 39
DWW_year2[105030] = 1.0
DWW_year2[105031] = 2.0
# Sample 40
DWW_year2[109177] = 7.0
DWW_year2[109178] = 8.0
DWW_year2[109179] = 7.5
DWW_year2[109180] = 9.0
DWW_year2[109181] = 7.0
DWW_year2[109182] = 6.5
DWW_year2[109183] = 7.0
DWW_year2[109184] = 7.0
DWW_year2[109185] = 5.5
DWW_year2[109186] = 3.5
DWW_year2[109187] = 4.0
DWW_year2[109188] = 5.0
DWW_year2[109189] = 3.5
DWW_year2[109190] = 3.5
DWW_year2[109191] = 6.5
DWW_year2[109192] = 6.0
DWW_year2[109193] = 5.5
DWW_year2[109194] = 5.5
DWW_year2[109195] = 1.0
DWW_year2[109196] = 2.0
DWW_year2[109198] = 4.0
DWW_year2[109199] = 6.0
DWW_year2[109202] = 3.5
DWW_year2[109203] = 1.5
DWW_year2[109204] = 2.5
DWW_year2[109205] = 1.0
DWW_year2[109206] = 6.0
DWW_year2[109207] = 4.0
DWW_year2[109208] = 2.0
DWW_year2[109209] = 6.5
DWW_year2[109210] = 6.0
DWW_year2[109211] = 5.0
DWW_year2[109212] = 9.5
DWW_year2[109213] = 1.5
DWW_year2[109215] = 1.0
DWW_year2[109216] = 0.5
DWW_year2[109219] = 0.5
DWW_year2[109220] = 2.5
DWW_year2[109227] = 7.5
DWW_year2[109228] = 5.0
DWW_year2[109233] = 2.5
DWW_year2[109234] = 2.5
DWW_year2[109235] = 1.0
DWW_year2[109241] = 0.5
DWW_year2[109242] = 2.0
DWW_year2[109246] = 7.0
DWW_year2[109247] = 7.0
DWW_year2[109248] = 7.0
DWW_year2[109249] = 7.5
DWW_year2[109250] = 9.0
DWW_year2[109251] = 7.0
DWW_year2[109252] = 7.0
DWW_year2[109253] = 6.5
DWW_year2[109254] = 7.0
DWW_year2[109255] = 6.5
DWW_year2[109256] = 7.0
DWW_year2[109257] = 5.5
DWW_year2[109260] = 0.5
# Sample 41
DWW_year2[109289] = 1.5
DWW_year2[109291] = 1.0
DWW_year2[109292] = 2.5
DWW_year2[109297] = 0.5
DWW_year2[109299] = 0.5
DWW_year2[109300] = 2.5
DWW_year2[109307] = 0.5
DWW_year2[109308] = 2.0
DWW_year2[109315] = 1.0
DWW_year2[109316] = 2.0
DWW_year2[109345] = 2.5
DWW_year2[109346] = 0.5
DWW_year2[109353] = 2.5
DWW_year2[109354] = 0.5
DWW_year2[109381] = 1.5
DWW_year2[109382] = 1.5
DWW_year2[109383] = 6.0
DWW_year2[109384] = 3.0
DWW_year2[109385] = 1.0
DWW_year2[109386] = 3.5
# Sample 42
DWW_year2[116560] = 2.0
DWW_year2[116561] = 1.0
DWW_year2[116567] = 1.0
DWW_year2[116568] = 2.0
DWW_year2[116569] = 0.5
DWW_year2[116576] = 2.0
DWW_year2[116577] = 1.0
DWW_year2[116584] = 2.0
DWW_year2[116585] = 1.0
DWW_year2[116592] = 2.0
DWW_year2[116593] = 1.0
DWW_year2[116600] = 2.0
DWW_year2[116601] = 1.0
DWW_year2[116635] = 2.5
DWW_year2[116636] = 0.5
DWW_year2[116643] = 2.0
DWW_year2[116644] = 1.0
DWW_year2[116659] = 6.0
DWW_year2[116660] = 4.0
DWW_year2[116662] = 1.0
DWW_year2[116674] = 2.5
DWW_year2[116675] = 1.0
# Sample 43
DWW_year2[117234] = 1.0
DWW_year2[117235] = 2.0
DWW_year2[117240] = 2.5
DWW_year2[117241] = 6.0
DWW_year2[117242] = 3.5
DWW_year2[117243] = 2.5
DWW_year2[117249] = 2.0
DWW_year2[117250] = 1.5
DWW_year2[117251] = 3.5
DWW_year2[117252] = 0.5
DWW_year2[117258] = 1.0
DWW_year2[117259] = 2.0
DWW_year2[117265] = 1.5
DWW_year2[117277] = 1.0
DWW_year2[117278] = 0.5
DWW_year2[117285] = 0.5
DWW_year2[117286] = 2.0
DWW_year2[117287] = 2.0
DWW_year2[117288] = 0.5
DWW_year2[117291] = 1.0
DWW_year2[117292] = 4.0
DWW_year2[117294] = 1.0
DWW_year2[117295] = 2.0
DWW_year2[117296] = 0.5
DWW_year2[117297] = 2.5
DWW_year2[117324] = 4.0
DWW_year2[117325] = 2.0
DWW_year2[117332] = 3.5
DWW_year2[117333] = 0.5
DWW_year2[117334] = 2.0
DWW_year2[117345] = 6.0
# Sample 44
DWW_year2[120222] = 1.0
DWW_year2[120223] = 5.5
DWW_year2[120224] = 1.0
DWW_year2[120226] = 1.5
DWW_year2[120228] = 0.5
DWW_year2[120229] = 2.5
DWW_year2[120230] = 4.5
DWW_year2[120231] = 7.5
DWW_year2[120232] = 6.0
DWW_year2[120233] = 5.5
DWW_year2[120234] = 5.5
DWW_year2[120235] = 15.0
DWW_year2[120236] = 5.5
DWW_year2[120237] = 5.0
DWW_year2[120238] = 3.0
DWW_year2[120239] = 5.0
DWW_year2[120240] = 5.0
DWW_year2[120241] = 11.5
DWW_year2[120242] = 1.0
DWW_year2[120244] = 5.5
DWW_year2[120245] = 4.0
DWW_year2[120246] = 1.0
DWW_year2[120247] = 2.0
DWW_year2[120248] = 1.0
DWW_year2[120250] = 1.0
DWW_year2[120251] = 6.0
DWW_year2[120252] = 4.5
DWW_year2[120253] = 2.5
DWW_year2[120254] = 4.0
DWW_year2[120255] = 3.0
DWW_year2[120256] = 1.0
DWW_year2[120258] = 0.5
DWW_year2[120259] = 8.0
DWW_year2[120260] = 0.5
DWW_year2[120263] = 2.5
DWW_year2[120264] = 0.5
DWW_year2[120271] = 1.5
DWW_year2[120285] = 2.5
DWW_year2[120286] = 0.5
DWW_year2[120290] = 1.0
DWW_year2[120291] = 0.5
DWW_year2[120293] = 2.5
DWW_year2[120294] = 0.5
DWW_year2[120301] = 6.5
DWW_year2[120302] = 1.5
DWW_year2[120308] = 4.5
DWW_year2[120309] = 3.0
DWW_year2[120311] = 1.5
DWW_year2[120319] = 1.0
DWW_year2[120320] = 7.0
# Sample 45
DWW_year2[120394] = 2.0
DWW_year2[120396] = 0.5
DWW_year2[120398] = 0.5
DWW_year2[120399] = 2.5
DWW_year2[120405] = 1.0
DWW_year2[120406] = 0.5
DWW_year2[120407] = 2.5
DWW_year2[120409] = 1.0
DWW_year2[120410] = 0.5
DWW_year2[120412] = 3.0
DWW_year2[120413] = 0.5
DWW_year2[120414] = 1.0
DWW_year2[120415] = 2.0
DWW_year2[120419] = 0.5
DWW_year2[120420] = 3.5
DWW_year2[120421] = 0.5
DWW_year2[120422] = 1.0
DWW_year2[120423] = 5.0
DWW_year2[120424] = 1.5
DWW_year2[120438] = 2.5
DWW_year2[120439] = 3.5
DWW_year2[120442] = 0.5
DWW_year2[120444] = 0.5
DWW_year2[120449] = 1.5
DWW_year2[120450] = 1.5
DWW_year2[120457] = 1.5
DWW_year2[120458] = 1.5
DWW_year2[120488] = 1.0
DWW_year2[120491] = 7.5
DWW_year2[120492] = 9.5
DWW_year2[120493] = 7.0
DWW_year2[120494] = 7.5
DWW_year2[120495] = 7.0
DWW_year2[120496] = 7.0
DWW_year2[120497] = 7.0
DWW_year2[120498] = 7.0
DWW_year2[120499] = 7.0
DWW_year2[120500] = 7.0
DWW_year2[120501] = 7.0
DWW_year2[120502] = 5.0
DWW_year2[120507] = 0.5
DWW_year2[120511] = 4.0
DWW_year2[120512] = 6.5
DWW_year2[120513] = 3.0
DWW_year2[120514] = 2.5
DWW_year2[120515] = 1.0
DWW_year2[120521] = 0.5
# Sample 46
DWW_year2[125929] = 1.0
DWW_year2[125930] = 1.5
DWW_year2[125931] = 8.5
DWW_year2[125932] = 1.0
DWW_year2[125935] = 5.5
DWW_year2[125936] = 2.0
DWW_year2[125939] = 2.0
DWW_year2[125940] = 1.0
DWW_year2[125947] = 2.0
DWW_year2[125948] = 1.0
DWW_year2[125955] = 2.0
DWW_year2[125956] = 1.0
DWW_year2[125959] = 7.0
DWW_year2[125963] = 1.5
DWW_year2[125964] = 1.5
DWW_year2[125971] = 1.5
DWW_year2[125972] = 1.5
DWW_year2[125978] = 1.0
DWW_year2[125979] = 2.0
DWW_year2[125981] = 4.0
DWW_year2[125982] = 1.5
DWW_year2[125985] = 3.0
DWW_year2[125986] = 2.0
DWW_year2[125994] = 3.5
DWW_year2[125998] = 1.5
DWW_year2[125999] = 1.5
DWW_year2[126000] = 1.0
DWW_year2[126005] = 0.5
DWW_year2[126006] = 2.5
DWW_year2[126010] = 0.5
DWW_year2[126013] = 0.5
DWW_year2[126014] = 2.0
DWW_year2[126015] = 0.5
# Sample 47
DWW_year2[126281] = 2.0
DWW_year2[126282] = 3.0
DWW_year2[126283] = 6.0
DWW_year2[126284] = 6.5
DWW_year2[126285] = 2.5
DWW_year2[126286] = 7.0
DWW_year2[126288] = 1.0
DWW_year2[126293] = 2.5
DWW_year2[126294] = 0.5
DWW_year2[126301] = 2.5
DWW_year2[126302] = 0.5
DWW_year2[126303] = 0.5
DWW_year2[126304] = 0.5
DWW_year2[126306] = 0.5
DWW_year2[126307] = 0.5
DWW_year2[126309] = 3.0
DWW_year2[126310] = 1.5
DWW_year2[126319] = 3.5
DWW_year2[126320] = 4.0
DWW_year2[126322] = 0.5
DWW_year2[126331] = 1.0
DWW_year2[126335] = 4.0
DWW_year2[126336] = 0.5
DWW_year2[126337] = 2.0
DWW_year2[126338] = 0.5
DWW_year2[126339] = 7.0
DWW_year2[126340] = 1.0
DWW_year2[126341] = 1.0
DWW_year2[126343] = 1.0
DWW_year2[126346] = 0.5
DWW_year2[126347] = 7.0
DWW_year2[126348] = 1.0
DWW_year2[126352] = 0.5
DWW_year2[126356] = 0.5
DWW_year2[126358] = 1.0
DWW_year2[126359] = 0.5
DWW_year2[126360] = 0.5
DWW_year2[126361] = 3.0
DWW_year2[126362] = 6.0
DWW_year2[126364] = 1.0
DWW_year2[126370] = 0.5
DWW_year2[126377] = 1.0
DWW_year2[126395] = 1.5
DWW_year2[126398] = 0.5
DWW_year2[126402] = 1.0
DWW_year2[126405] = 2.0
# Sample 48
DWW_year2[130353] = 1.0
DWW_year2[130354] = 0.5
DWW_year2[130355] = 0.5
DWW_year2[130356] = 2.0
DWW_year2[130357] = 0.5
DWW_year2[130364] = 2.5
DWW_year2[130371] = 0.5
DWW_year2[130372] = 2.5
DWW_year2[130377] = 12.0
DWW_year2[130378] = 22.0
DWW_year2[130379] = 23.5
DWW_year2[130380] = 25.5
DWW_year2[130381] = 23.5
DWW_year2[130382] = 23.5
DWW_year2[130383] = 23.0
DWW_year2[130384] = 24.0
DWW_year2[130385] = 23.5
DWW_year2[130386] = 23.0
DWW_year2[130387] = 24.0
DWW_year2[130388] = 25.5
DWW_year2[130389] = 15.0
DWW_year2[130390] = 8.0
DWW_year2[130391] = 6.5
DWW_year2[130392] = 7.5
DWW_year2[130393] = 23.0
DWW_year2[130394] = 24.0
DWW_year2[130395] = 23.5
DWW_year2[130396] = 25.5
DWW_year2[130397] = 24.0
DWW_year2[130398] = 23.5
DWW_year2[130399] = 24.0
DWW_year2[130400] = 24.0
DWW_year2[130401] = 24.0
DWW_year2[130402] = 23.5
DWW_year2[130403] = 27.0
DWW_year2[130404] = 26.5
DWW_year2[130405] = 26.0
DWW_year2[130406] = 24.0
DWW_year2[130407] = 23.5
DWW_year2[130408] = 24.0
DWW_year2[130409] = 23.5
DWW_year2[130427] = 0.5
DWW_year2[130428] = 2.5
DWW_year2[130435] = 0.5
DWW_year2[130436] = 2.0
DWW_year2[130437] = 0.5
DWW_year2[130446] = 1.0
DWW_year2[130448] = 0.5
DWW_year2[130453] = 3.0
DWW_year2[130454] = 5.0
DWW_year2[130470] = 1.0
DWW_year2[130476] = 0.5
# Sample 49
DWW_year2[130480] = 2.0
DWW_year2[130481] = 1.0
DWW_year2[130486] = 3.0
DWW_year2[130501] = 1.0
# Sample 50
DWW_year2[133638] = 0.5
DWW_year2[133639] = 3.0
DWW_year2[133640] = 3.5
DWW_year2[133641] = 3.5
DWW_year2[133642] = 3.5
DWW_year2[133643] = 4.0
DWW_year2[133644] = 5.0
DWW_year2[133645] = 7.0
DWW_year2[133646] = 7.0
DWW_year2[133647] = 7.0
DWW_year2[133648] = 8.0
DWW_year2[133649] = 9.5
DWW_year2[133650] = 7.0
DWW_year2[133651] = 7.0
DWW_year2[133652] = 7.0
DWW_year2[133653] = 7.0
DWW_year2[133655] = 1.5
DWW_year2[133656] = 8.0
DWW_year2[133657] = 6.0
DWW_year2[133662] = 3.0
DWW_year2[133664] = 3.0
DWW_year2[133665] = 3.5
DWW_year2[133667] = 10.5
DWW_year2[133668] = 3.5
DWW_year2[133669] = 6.5
DWW_year2[133670] = 7.0
DWW_year2[133671] = 7.0
DWW_year2[133672] = 7.5
DWW_year2[133673] = 9.0
DWW_year2[133674] = 3.5
DWW_year2[133677] = 3.0
DWW_year2[133680] = 5.5
DWW_year2[133681] = 9.5
DWW_year2[133682] = 3.0
DWW_year2[133684] = 5.0
DWW_year2[133685] = 5.0
DWW_year2[133686] = 7.0
DWW_year2[133687] = 6.5
DWW_year2[133688] = 6.5
DWW_year2[133689] = 1.0
DWW_year2[133690] = 2.5
DWW_year2[133691] = 2.5
DWW_year2[133698] = 2.0
DWW_year2[133699] = 2.5
DWW_year2[133700] = 0.5
DWW_year2[133701] = 1.0
DWW_year2[133703] = 2.0
DWW_year2[133704] = 6.0
DWW_year2[133705] = 4.5
DWW_year2[133706] = 3.5
DWW_year2[133707] = 1.0
DWW_year2[133708] = 0.5
DWW_year2[133712] = 1.5
DWW_year2[133713] = 0.5
DWW_year2[133714] = 1.0
DWW_year2[133715] = 10.5
DWW_year2[133716] = 10.0
DWW_year2[133720] = 2.5
DWW_year2[133721] = 3.0
DWW_year2[133722] = 1.0
DWW_year2[133728] = 6.0
# Sample 51
DWW_year2[133743] = 1.5
DWW_year2[133744] = 1.5
DWW_year2[133746] = 1.5
DWW_year2[133748] = 1.0
DWW_year2[133749] = 2.5
DWW_year2[133750] = 0.5
DWW_year2[133751] = 0.5
DWW_year2[133753] = 1.0
DWW_year2[133755] = 3.0
DWW_year2[133756] = 4.5
DWW_year2[133766] = 0.5
DWW_year2[133775] = 0.5
# Sample 52
DWW_year2[137664] = 4.0
DWW_year2[137665] = 2.5
DWW_year2[137666] = 3.5
DWW_year2[137667] = 2.0
DWW_year2[137670] = 2.0
DWW_year2[137671] = 7.0
DWW_year2[137672] = 7.0
DWW_year2[137673] = 7.0
DWW_year2[137674] = 8.0
DWW_year2[137675] = 9.0
DWW_year2[137676] = 7.0
DWW_year2[137677] = 6.5
DWW_year2[137678] = 7.0
DWW_year2[137679] = 7.0
DWW_year2[137680] = 7.0
DWW_year2[137681] = 1.0
DWW_year2[137682] = 1.5
DWW_year2[137683] = 4.5
DWW_year2[137684] = 3.0
DWW_year2[137685] = 7.0
DWW_year2[137686] = 4.5
DWW_year2[137690] = 1.5
DWW_year2[137691] = 1.5
DWW_year2[137692] = 0.5
DWW_year2[137693] = 1.0
DWW_year2[137698] = 1.5
DWW_year2[137699] = 1.5
DWW_year2[137706] = 1.0
DWW_year2[137707] = 2.0
DWW_year2[137718] = 0.5
DWW_year2[137721] = 4.5
DWW_year2[137722] = 4.0
DWW_year2[137725] = 2.0
DWW_year2[137726] = 8.0
DWW_year2[137727] = 2.0
DWW_year2[137733] = 0.5
DWW_year2[137735] = 0.5
DWW_year2[137736] = 2.5
DWW_year2[137743] = 0.5
DWW_year2[137744] = 3.0
DWW_year2[137748] = 5.5
DWW_year2[137749] = 1.0
DWW_year2[137754] = 3.0
DWW_year2[137755] = 1.5
DWW_year2[137756] = 1.5
DWW_year2[137757] = 1.0
DWW_year2[137760] = 0.5
DWW_year2[137779] = 3.5
DWW_year2[137802] = 1.5
DWW_year2[137806] = 3.0
DWW_year2[137809] = 0.5
DWW_year2[137813] = 7.0
DWW_year2[137814] = 0.5
# Sample 53
DWW_year2[141621] = 6.5
DWW_year2[141622] = 1.0
DWW_year2[141623] = 2.0
DWW_year2[141624] = 1.5
DWW_year2[141625] = 0.5
DWW_year2[141631] = 1.5
DWW_year2[141632] = 5.0
DWW_year2[141633] = 1.5
DWW_year2[141634] = 6.5
DWW_year2[141635] = 2.5
DWW_year2[141639] = 1.5
DWW_year2[141640] = 1.5
DWW_year2[141647] = 1.5
DWW_year2[141648] = 1.5
DWW_year2[141655] = 2.0
DWW_year2[141656] = 1.0
DWW_year2[141658] = 1.0
DWW_year2[141663] = 1.5
DWW_year2[141664] = 1.5
DWW_year2[141678] = 5.0
DWW_year2[141679] = 1.0
DWW_year2[141692] = 1.0
DWW_year2[141693] = 2.0
DWW_year2[141700] = 1.0
DWW_year2[141701] = 2.0
# Sample 54
DWW_year2[152325] = 8.0
DWW_year2[152326] = 8.0
DWW_year2[152327] = 14.0
DWW_year2[152328] = 11.5
DWW_year2[152329] = 9.0
DWW_year2[152330] = 9.0
DWW_year2[152331] = 10.5
DWW_year2[152332] = 8.5
DWW_year2[152333] = 9.0
DWW_year2[152334] = 9.0
DWW_year2[152335] = 10.0
DWW_year2[152336] = 10.5
DWW_year2[152337] = 9.0
DWW_year2[152338] = 9.0
DWW_year2[152339] = 9.0
DWW_year2[152340] = 9.0
DWW_year2[152341] = 4.0
DWW_year2[152342] = 7.0
DWW_year2[152343] = 6.0
DWW_year2[152344] = 2.0
DWW_year2[152351] = 1.0
DWW_year2[152352] = 2.0
DWW_year2[152357] = 1.0
DWW_year2[152358] = 6.5
DWW_year2[152359] = 6.0
DWW_year2[152360] = 16.5
DWW_year2[152361] = 16.0
DWW_year2[152362] = 16.5
DWW_year2[152363] = 17.0
DWW_year2[152364] = 4.5
DWW_year2[152367] = 1.0
DWW_year2[152368] = 5.0
DWW_year2[152369] = 6.5
DWW_year2[152379] = 6.0
DWW_year2[152380] = 6.0
DWW_year2[152390] = 0.5
DWW_year2[152391] = 2.0
DWW_year2[152392] = 2.0
DWW_year2[152394] = 0.5
DWW_year2[152396] = 0.5
DWW_year2[152398] = 0.5
DWW_year2[152399] = 1.5
DWW_year2[152400] = 2.0
DWW_year2[152401] = 0.5
DWW_year2[152402] = 0.5
DWW_year2[152403] = 0.5
DWW_year2[152412] = 0.5
DWW_year2[152413] = 1.0
DWW_year2[152414] = 1.0
DWW_year2[152417] = 0.5
DWW_year2[152418] = 18.0
DWW_year2[152419] = 7.5
DWW_year2[152420] = 7.0
DWW_year2[152421] = 7.5
DWW_year2[152422] = 7.0
DWW_year2[152423] = 7.0
DWW_year2[152424] = 6.0
# Sample 55
DWW_year2[152464] = 1.5
DWW_year2[152466] = 1.0
DWW_year2[152467] = 8.0
DWW_year2[152468] = 7.0
DWW_year2[152469] = 7.0
DWW_year2[152470] = 7.0
DWW_year2[152471] = 7.0
DWW_year2[152472] = 7.0
DWW_year2[152473] = 7.0
DWW_year2[152474] = 8.0
DWW_year2[152475] = 9.5
DWW_year2[152476] = 7.0
DWW_year2[152477] = 7.0
DWW_year2[152478] = 7.0
DWW_year2[152479] = 7.0
DWW_year2[152480] = 7.0
DWW_year2[152481] = 7.0
DWW_year2[152482] = 2.0
DWW_year2[152483] = 2.0
DWW_year2[152484] = 2.5
DWW_year2[152486] = 0.5
DWW_year2[152487] = 0.5
DWW_year2[152489] = 0.5
DWW_year2[152490] = 1.0
DWW_year2[152491] = 2.5
DWW_year2[152492] = 2.5
DWW_year2[152493] = 5.0
DWW_year2[152494] = 0.5
DWW_year2[152510] = 0.5
DWW_year2[152511] = 2.5
DWW_year2[152518] = 0.5
DWW_year2[152519] = 2.5
DWW_year2[152526] = 2.5
DWW_year2[152575] = 1.5
# Sample 56
DWW_year2[157590] = 2.0
DWW_year2[157591] = 5.0
DWW_year2[157592] = 1.5
DWW_year2[157594] = 1.0
DWW_year2[157599] = 1.5
DWW_year2[157600] = 1.5
DWW_year2[157607] = 1.5
DWW_year2[157608] = 1.5
DWW_year2[157615] = 1.5
DWW_year2[157616] = 1.5
DWW_year2[157621] = 6.5
DWW_year2[157623] = 1.5
DWW_year2[157624] = 1.5
DWW_year2[157631] = 1.5
DWW_year2[157632] = 1.5
DWW_year2[157642] = 1.0
DWW_year2[157643] = 1.0
DWW_year2[157644] = 2.5
DWW_year2[157662] = 1.5
DWW_year2[157663] = 1.5
DWW_year2[157670] = 1.5
DWW_year2[157671] = 1.5
# Sample 57
DWW_year2[157785] = 4.5
DWW_year2[157786] = 4.5
DWW_year2[157788] = 16.0
DWW_year2[157789] = 22.0
DWW_year2[157790] = 21.5
DWW_year2[157791] = 22.0
DWW_year2[157792] = 22.5
DWW_year2[157793] = 23.5
DWW_year2[157794] = 23.0
DWW_year2[157795] = 23.5
DWW_year2[157796] = 23.5
DWW_year2[157797] = 23.5
DWW_year2[157798] = 26.5
DWW_year2[157799] = 22.5
DWW_year2[157800] = 23.0
DWW_year2[157801] = 25.5
DWW_year2[157802] = 22.5
DWW_year2[157803] = 22.0
DWW_year2[157804] = 23.5
DWW_year2[157805] = 23.5
DWW_year2[157806] = 23.5
DWW_year2[157807] = 23.5
DWW_year2[157808] = 23.5
DWW_year2[157809] = 23.5
DWW_year2[157810] = 23.5
DWW_year2[157811] = 23.5
DWW_year2[157812] = 23.5
DWW_year2[157813] = 23.5
DWW_year2[157814] = 23.5
DWW_year2[157815] = 23.0
DWW_year2[157816] = 23.5
DWW_year2[157817] = 19.5
DWW_year2[157818] = 2.0
DWW_year2[157819] = 3.0
DWW_year2[157820] = 9.0
DWW_year2[157821] = 10.0
DWW_year2[157822] = 9.5
DWW_year2[157823] = 9.5
DWW_year2[157824] = 9.5
DWW_year2[157825] = 7.0
DWW_year2[157826] = 0.5
DWW_year2[157827] = 7.0
DWW_year2[157828] = 7.0
DWW_year2[157829] = 7.5
DWW_year2[157830] = 7.0
DWW_year2[157831] = 8.5
DWW_year2[157832] = 7.5
DWW_year2[157833] = 7.5
DWW_year2[157834] = 7.0
DWW_year2[157835] = 7.5
DWW_year2[157836] = 7.0
DWW_year2[157837] = 7.5
DWW_year2[157838] = 7.5
DWW_year2[157839] = 7.0
DWW_year2[157840] = 7.5
DWW_year2[157841] = 14.0
DWW_year2[157842] = 9.5
DWW_year2[157843] = 7.5
DWW_year2[157844] = 7.0
DWW_year2[157845] = 7.5
DWW_year2[157846] = 7.5
DWW_year2[157847] = 7.5
# Sample 58
DWW_year2[160507] = 1.5
DWW_year2[160508] = 0.5
DWW_year2[160509] = 1.0
DWW_year2[160510] = 3.0
DWW_year2[160511] = 5.0
DWW_year2[160512] = 3.0
DWW_year2[160514] = 1.5
DWW_year2[160515] = 2.5
DWW_year2[160517] = 2.5
DWW_year2[160518] = 2.5
DWW_year2[160519] = 0.5
DWW_year2[160521] = 0.5
DWW_year2[160522] = 2.5
DWW_year2[160523] = 2.0
DWW_year2[160524] = 2.5
DWW_year2[160525] = 2.5
DWW_year2[160526] = 10.0
DWW_year2[160527] = 11.0
DWW_year2[160528] = 2.5
DWW_year2[160529] = 2.5
DWW_year2[160530] = 2.5
DWW_year2[160531] = 5.0
DWW_year2[160532] = 5.5
DWW_year2[160533] = 4.5
DWW_year2[160534] = 7.0
DWW_year2[160535] = 1.0
DWW_year2[160537] = 2.0
DWW_year2[160538] = 6.5
DWW_year2[160539] = 7.0
DWW_year2[160540] = 7.0
DWW_year2[160541] = 5.5
DWW_year2[160542] = 2.5
DWW_year2[160543] = 0.5
DWW_year2[160544] = 3.5
DWW_year2[160545] = 6.0
DWW_year2[160546] = 1.0
DWW_year2[160548] = 1.0
DWW_year2[160549] = 3.5
DWW_year2[160550] = 8.0
DWW_year2[160551] = 5.5
DWW_year2[160553] = 5.0
DWW_year2[160554] = 7.0
DWW_year2[160555] = 2.0
DWW_year2[160556] = 2.5
DWW_year2[160557] = 0.5
DWW_year2[160563] = 3.5
DWW_year2[160564] = 13.0
DWW_year2[160565] = 1.5
DWW_year2[160566] = 5.5
DWW_year2[160567] = 1.5
DWW_year2[160574] = 2.0
DWW_year2[160575] = 1.0
DWW_year2[160577] = 6.5
DWW_year2[160578] = 4.0
DWW_year2[160579] = 6.0
DWW_year2[160582] = 1.5
DWW_year2[160583] = 6.0
DWW_year2[160584] = 6.0
DWW_year2[160585] = 3.5
DWW_year2[160586] = 2.5
DWW_year2[160587] = 5.0
DWW_year2[160589] = 8.5
DWW_year2[160590] = 7.5
DWW_year2[160591] = 10.0
DWW_year2[160592] = 2.0
DWW_year2[160593] = 2.5
DWW_year2[160594] = 3.0
DWW_year2[160595] = 1.5
DWW_year2[160596] = 5.5
DWW_year2[160597] = 10.5
DWW_year2[160598] = 6.0
DWW_year2[160599] = 6.5
DWW_year2[160600] = 4.5
DWW_year2[160601] = 2.0
DWW_year2[160602] = 1.0
DWW_year2[160604] = 1.5
DWW_year2[160605] = 6.5
DWW_year2[160606] = 6.5
DWW_year2[160607] = 0.5
DWW_year2[160609] = 5.5
DWW_year2[160611] = 1.0
DWW_year2[160613] = 10.5
DWW_year2[160614] = 4.5
DWW_year2[160615] = 7.0
DWW_year2[160616] = 1.0
DWW_year2[160622] = 0.5
DWW_year2[160624] = 2.0
DWW_year2[160627] = 1.5
DWW_year2[160628] = 8.0
DWW_year2[160629] = 5.5
# Sample 59
DWW_year2[160637] = 1.0
DWW_year2[160638] = 2.0
DWW_year2[160639] = 0.5
DWW_year2[160640] = 4.5
DWW_year2[160646] = 1.5
DWW_year2[160648] = 0.5
DWW_year2[160650] = 5.5
DWW_year2[160651] = 5.5
DWW_year2[160652] = 1.5
DWW_year2[160662] = 0.5
# Sample 60
DWW_year2[167612] = 6.0
DWW_year2[167613] = 9.5
DWW_year2[167614] = 7.0
DWW_year2[167616] = 5.0
DWW_year2[167617] = 8.0
DWW_year2[167618] = 3.0
DWW_year2[167621] = 0.5
DWW_year2[167622] = 11.5
DWW_year2[167623] = 6.5
DWW_year2[167624] = 0.5
DWW_year2[167625] = 3.0
DWW_year2[167629] = 2.0
DWW_year2[167630] = 11.0
DWW_year2[167637] = 0.5
DWW_year2[167638] = 2.5
DWW_year2[167645] = 0.5
DWW_year2[167646] = 2.5
DWW_year2[167653] = 0.5
DWW_year2[167654] = 2.5
DWW_year2[167686] = 1.0
DWW_year2[167687] = 2.0
DWW_year2[167694] = 1.0
DWW_year2[167695] = 2.0
DWW_year2[167771] = 1.5
DWW_year2[167772] = 1.5
# Sample 61
DWW_year2[171992] = 0.5
DWW_year2[171993] = 1.0
DWW_year2[171995] = 2.5
DWW_year2[171996] = 0.5
DWW_year2[172003] = 2.5
DWW_year2[172004] = 0.5
DWW_year2[172006] = 1.0
DWW_year2[172007] = 7.0
DWW_year2[172008] = 0.5
DWW_year2[172009] = 2.0
DWW_year2[172010] = 5.0
DWW_year2[172011] = 2.5
DWW_year2[172012] = 1.0
DWW_year2[172013] = 3.0
DWW_year2[172014] = 6.5
DWW_year2[172015] = 6.5
DWW_year2[172016] = 7.0
DWW_year2[172017] = 6.5
DWW_year2[172018] = 6.5
DWW_year2[172019] = 9.0
DWW_year2[172020] = 7.0
DWW_year2[172021] = 7.0
DWW_year2[172022] = 6.5
DWW_year2[172023] = 6.5
DWW_year2[172024] = 6.5
DWW_year2[172025] = 7.0
DWW_year2[172026] = 6.5
DWW_year2[172027] = 8.5
DWW_year2[172028] = 7.5
DWW_year2[172029] = 6.5
DWW_year2[172030] = 6.5
DWW_year2[172031] = 6.5
DWW_year2[172032] = 6.5
DWW_year2[172033] = 6.5
DWW_year2[172034] = 4.0
DWW_year2[172035] = 7.0
DWW_year2[172036] = 4.0
DWW_year2[172039] = 1.5
DWW_year2[172040] = 17.0
DWW_year2[172041] = 9.0
DWW_year2[172061] = 0.5
DWW_year2[172063] = 2.0
DWW_year2[172064] = 4.0
DWW_year2[172065] = 2.0
DWW_year2[172068] = 2.5
DWW_year2[172069] = 1.0
DWW_year2[172071] = 1.5
DWW_year2[172072] = 1.5
DWW_year2[172075] = 5.5
DWW_year2[172076] = 8.5
DWW_year2[172077] = 6.5
DWW_year2[172079] = 8.5
DWW_year2[172080] = 2.5
DWW_year2[172083] = 0.5
DWW_year2[172084] = 12.5
DWW_year2[172085] = 4.0
DWW_year2[172086] = 1.0
DWW_year2[172087] = 9.0
DWW_year2[172088] = 6.0
DWW_year2[172089] = 6.0
DWW_year2[172090] = 0.5
DWW_year2[172094] = 1.0
DWW_year2[172095] = 7.0
DWW_year2[172096] = 4.0
DWW_year2[172097] = 4.0
DWW_year2[172099] = 0.5
DWW_year2[172104] = 8.5
DWW_year2[172105] = 6.5
DWW_year2[172106] = 4.5
DWW_year2[172109] = 0.5
DWW_year2[172111] = 1.5
DWW_year2[172112] = 4.5
DWW_year2[172114] = 6.0
DWW_year2[172115] = 1.5
DWW_year2[172131] = 7.5
DWW_year2[172132] = 0.5
DWW_year2[172146] = 0.5
DWW_year2[172148] = 0.5
DWW_year2[172149] = 1.0
# Sample 62
DWW_year2[173911] = 5.0
DWW_year2[173912] = 5.5
DWW_year2[173913] = 5.5
DWW_year2[173914] = 7.5
DWW_year2[173915] = 6.0
DWW_year2[173916] = 5.0
DWW_year2[173917] = 5.5
DWW_year2[173918] = 5.0
DWW_year2[173919] = 2.5
DWW_year2[173921] = 1.5
DWW_year2[173922] = 10.5
DWW_year2[173923] = 1.0
DWW_year2[173924] = 6.0
DWW_year2[173925] = 7.5
DWW_year2[173926] = 6.5
DWW_year2[173927] = 3.0
DWW_year2[173929] = 0.5
DWW_year2[173930] = 4.0
DWW_year2[173931] = 0.5
DWW_year2[173935] = 0.5
DWW_year2[173938] = 2.5
DWW_year2[173939] = 0.5
DWW_year2[173942] = 0.5
DWW_year2[173944] = 0.5
DWW_year2[173946] = 2.5
DWW_year2[173947] = 0.5
DWW_year2[173950] = 4.5
DWW_year2[173951] = 6.0
DWW_year2[173952] = 6.0
DWW_year2[173953] = 1.0
DWW_year2[173954] = 2.5
DWW_year2[173955] = 0.5
DWW_year2[173959] = 1.0
DWW_year2[173961] = 0.5
DWW_year2[173962] = 0.5
DWW_year2[173965] = 0.5
DWW_year2[173966] = 0.5
DWW_year2[173968] = 0.5
DWW_year2[173970] = 0.5
DWW_year2[173973] = 0.5
DWW_year2[173974] = 1.0
DWW_year2[173975] = 5.5
DWW_year2[173976] = 5.5
DWW_year2[173977] = 8.0
DWW_year2[173978] = 8.0
DWW_year2[173979] = 12.0
DWW_year2[173980] = 17.0
DWW_year2[173981] = 15.5
DWW_year2[173982] = 7.5
DWW_year2[173983] = 5.5
DWW_year2[173984] = 7.0
DWW_year2[173985] = 6.0
DWW_year2[173986] = 10.5
DWW_year2[173987] = 15.5
DWW_year2[173988] = 12.0
DWW_year2[173989] = 12.0
DWW_year2[173990] = 11.5
DWW_year2[173991] = 5.0
DWW_year2[173992] = 5.5
DWW_year2[173993] = 5.0
DWW_year2[173994] = 6.0
DWW_year2[173995] = 7.0
DWW_year2[173996] = 5.0
DWW_year2[173997] = 5.5
DWW_year2[173998] = 7.5
DWW_year2[173999] = 8.5
DWW_year2[174000] = 7.0
DWW_year2[174001] = 5.5
DWW_year2[174002] = 7.5
DWW_year2[174003] = 5.0
DWW_year2[174004] = 5.5
DWW_year2[174005] = 5.0
DWW_year2[174006] = 5.0
DWW_year2[174007] = 5.0
DWW_year2[174008] = 5.0
DWW_year2[174009] = 5.5
DWW_year2[174010] = 5.0
DWW_year2[174011] = 5.0
DWW_year2[174012] = 6.5
DWW_year2[174013] = 5.5
DWW_year2[174014] = 5.0
# Sample 63
DWW_year2[174052] = 0.5
DWW_year2[174053] = 1.0
DWW_year2[174054] = 1.0
DWW_year2[174055] = 2.0
DWW_year2[174060] = 0.5
DWW_year2[174072] = 1.5
DWW_year2[174075] = 0.5
DWW_year2[174079] = 1.0
DWW_year2[174100] = 0.5
DWW_year2[174101] = 3.5
DWW_year2[174102] = 14.0
DWW_year2[174103] = 8.0
DWW_year2[174104] = 7.0
DWW_year2[174105] = 7.5
DWW_year2[174106] = 7.0
DWW_year2[174107] = 9.5
DWW_year2[174108] = 11.5
DWW_year2[174109] = 8.0
DWW_year2[174110] = 3.0
# Sample 64
DWW_year2[191352] = 7.5
DWW_year2[191353] = 6.0
DWW_year2[191354] = 1.0
DWW_year2[191355] = 2.0
DWW_year2[191356] = 4.0
DWW_year2[191357] = 4.5
DWW_year2[191362] = 2.5
DWW_year2[191363] = 2.0
DWW_year2[191364] = 2.0
DWW_year2[191366] = 0.5
DWW_year2[191368] = 0.5
DWW_year2[191370] = 1.0
DWW_year2[191371] = 2.0
DWW_year2[191378] = 1.0
DWW_year2[191379] = 23.0
DWW_year2[191380] = 16.0
DWW_year2[191381] = 3.5
DWW_year2[191383] = 1.0
DWW_year2[191384] = 4.5
DWW_year2[191386] = 1.0
DWW_year2[191387] = 2.0
DWW_year2[191388] = 17.0
DWW_year2[191389] = 11.0
DWW_year2[191390] = 8.0
DWW_year2[191391] = 7.0
DWW_year2[191392] = 7.5
DWW_year2[191393] = 7.5
DWW_year2[191394] = 10.0
DWW_year2[191395] = 15.0
DWW_year2[191396] = 7.0
DWW_year2[191397] = 1.5
DWW_year2[191398] = 1.0
DWW_year2[191402] = 0.5
DWW_year2[191404] = 0.5
DWW_year2[191406] = 0.5
DWW_year2[191409] = 4.0
DWW_year2[191410] = 4.0
DWW_year2[191411] = 7.5
DWW_year2[191412] = 9.0
DWW_year2[191413] = 8.0
DWW_year2[191414] = 7.5
DWW_year2[191415] = 7.0
DWW_year2[191416] = 7.0
DWW_year2[191417] = 7.0
DWW_year2[191418] = 7.5
DWW_year2[191419] = 7.0
DWW_year2[191420] = 3.5
DWW_year2[191421] = 1.0
DWW_year2[191425] = 1.0
DWW_year2[191427] = 0.5
DWW_year2[191428] = 1.0
DWW_year2[191454] = 2.0
DWW_year2[191455] = 1.0
DWW_year2[191462] = 2.0
DWW_year2[191463] = 1.0
DWW_year2[191470] = 2.0
DWW_year2[191471] = 1.0
DWW_year2[191478] = 2.0
DWW_year2[191479] = 1.0
DWW_year2[191484] = 6.0
DWW_year2[191485] = 6.0
DWW_year2[191504] = 1.5
DWW_year2[191505] = 1.5
DWW_year2[191512] = 1.5
DWW_year2[191513] = 1.5
# Sample 65
DWW_year2[196945] = 1.5
DWW_year2[196946] = 0.5
DWW_year2[196947] = 0.5
DWW_year2[196948] = 3.0
DWW_year2[196949] = 0.5
DWW_year2[196952] = 0.5
DWW_year2[196955] = 1.5
DWW_year2[196956] = 2.0
DWW_year2[196957] = 0.5
DWW_year2[196962] = 2.0
DWW_year2[196963] = 4.5
DWW_year2[196964] = 2.5
DWW_year2[196971] = 0.5
DWW_year2[196972] = 2.5
DWW_year2[196974] = 5.5
DWW_year2[196975] = 2.0
DWW_year2[196978] = 0.5
DWW_year2[196979] = 0.5
DWW_year2[196980] = 2.5
DWW_year2[196987] = 0.5
DWW_year2[196988] = 2.5
DWW_year2[197002] = 3.0
DWW_year2[197003] = 8.0
DWW_year2[197004] = 7.0
DWW_year2[197005] = 8.0
DWW_year2[197006] = 5.0
DWW_year2[197007] = 6.0
DWW_year2[197017] = 5.0
DWW_year2[197018] = 1.0
DWW_year2[197019] = 2.0
DWW_year2[197021] = 5.0
DWW_year2[197022] = 2.0
DWW_year2[197026] = 1.5
DWW_year2[197027] = 1.5
DWW_year2[197033] = 1.5
DWW_year2[197037] = 1.5
DWW_year2[197038] = 0.5
DWW_year2[197054] = 0.5
DWW_year2[197056] = 2.0
DWW_year2[197057] = 16.0
DWW_year2[197058] = 19.5
DWW_year2[197062] = 11.0
DWW_year2[197063] = 17.0
DWW_year2[197064] = 2.5
DWW_year2[197068] = 1.0
DWW_year2[197069] = 1.0
DWW_year2[197093] = 0.5
DWW_year2[197094] = 2.5
DWW_year2[197100] = 3.0
DWW_year2[197102] = 1.0
DWW_year2[197103] = 0.5
DWW_year2[197104] = 3.5
DWW_year2[197116] = 0.5
DWW_year2[197123] = 10.0
DWW_year2[197124] = 2.5
DWW_year2[197125] = 9.0
DWW_year2[197126] = 8.0
DWW_year2[197127] = 7.5
DWW_year2[197128] = 7.0
DWW_year2[197129] = 7.0
DWW_year2[197130] = 7.5
DWW_year2[197131] = 6.0
DWW_year2[197134] = 7.0
DWW_year2[197139] = 6.0
DWW_year2[197140] = 2.0
DWW_year2[197142] = 1.5
DWW_year2[197143] = 0.5
# Sample 66
DWW_year2[203528] = 1.5
DWW_year2[203529] = 0.5
DWW_year2[203530] = 1.0
DWW_year2[203531] = 2.0
DWW_year2[203538] = 1.0
DWW_year2[203539] = 2.0
DWW_year2[203546] = 0.5
DWW_year2[203547] = 2.5
DWW_year2[203554] = 0.5
DWW_year2[203555] = 2.5
DWW_year2[203556] = 1.0
DWW_year2[203557] = 0.5
DWW_year2[203558] = 3.5
DWW_year2[203560] = 3.0
DWW_year2[203561] = 2.5
DWW_year2[203562] = 1.0
DWW_year2[203563] = 2.0
DWW_year2[203566] = 0.5
DWW_year2[203568] = 0.5
DWW_year2[203570] = 1.0
DWW_year2[203571] = 2.0
DWW_year2[203601] = 0.5
DWW_year2[203602] = 2.5
DWW_year2[203609] = 0.5
DWW_year2[203610] = 6.5
DWW_year2[203611] = 3.5
DWW_year2[203612] = 1.5
DWW_year2[203613] = 6.0
DWW_year2[203620] = 4.0
DWW_year2[203621] = 1.0
DWW_year2[203622] = 0.5
DWW_year2[203623] = 4.0
DWW_year2[203624] = 1.0
DWW_year2[203626] = 1.0
DWW_year2[203627] = 2.5
DWW_year2[203628] = 2.5
DWW_year2[203629] = 2.5
DWW_year2[203630] = 2.5
DWW_year2[203631] = 2.5
DWW_year2[203632] = 2.5
DWW_year2[203633] = 3.5
DWW_year2[203634] = 6.5
DWW_year2[203635] = 5.5
DWW_year2[203639] = 6.0
DWW_year2[203640] = 6.5
DWW_year2[203641] = 6.5
DWW_year2[203645] = 3.0
DWW_year2[203646] = 3.5
# Sample 67
DWW_year2[203663] = 2.5
DWW_year2[203664] = 3.5
DWW_year2[203667] = 2.5
DWW_year2[203668] = 13.5
DWW_year2[203669] = 5.0
DWW_year2[203673] = 4.5
DWW_year2[203691] = 7.0
DWW_year2[203692] = 6.5
DWW_year2[203693] = 1.5
DWW_year2[203694] = 3.5
DWW_year2[203701] = 8.5
DWW_year2[203702] = 5.5
DWW_year2[203703] = 2.0
DWW_year2[203711] = 3.5
DWW_year2[203712] = 6.5
DWW_year2[203713] = 5.0
DWW_year2[203715] = 4.0
DWW_year2[203722] = 10.5
# Sample 68
DWW_year2[210029] = 2.0
DWW_year2[210031] = 0.5
DWW_year2[210032] = 2.5
DWW_year2[210033] = 4.5
DWW_year2[210036] = 3.5
DWW_year2[210038] = 4.0
DWW_year2[210039] = 2.5
DWW_year2[210040] = 2.5
DWW_year2[210047] = 0.5
DWW_year2[210048] = 2.5
DWW_year2[210055] = 0.5
DWW_year2[210056] = 2.5
DWW_year2[210058] = 0.5
DWW_year2[210061] = 1.0
DWW_year2[210062] = 0.5
DWW_year2[210064] = 8.0
DWW_year2[210065] = 2.5
DWW_year2[210068] = 0.5
DWW_year2[210071] = 1.0
DWW_year2[210072] = 2.5
DWW_year2[210073] = 0.5
DWW_year2[210081] = 7.0
DWW_year2[210082] = 7.5
DWW_year2[210083] = 7.5
DWW_year2[210084] = 7.5
DWW_year2[210085] = 7.0
DWW_year2[210086] = 7.0
DWW_year2[210087] = 7.0
DWW_year2[210088] = 7.0
DWW_year2[210089] = 7.0
DWW_year2[210090] = 7.0
DWW_year2[210091] = 7.0
DWW_year2[210092] = 7.0
DWW_year2[210093] = 6.5
DWW_year2[210094] = 7.0
DWW_year2[210095] = 7.0
DWW_year2[210096] = 5.5
DWW_year2[210097] = 0.5
DWW_year2[210098] = 2.5
DWW_year2[210101] = 2.0
DWW_year2[210102] = 5.5
DWW_year2[210105] = 0.5
DWW_year2[210106] = 3.0
DWW_year2[210108] = 1.0
DWW_year2[210109] = 0.5
DWW_year2[210110] = 0.5
DWW_year2[210138] = 0.5
DWW_year2[210141] = 1.0
DWW_year2[210142] = 0.5
DWW_year2[210143] = 1.5
DWW_year2[210144] = 1.0
DWW_year2[210149] = 0.5
DWW_year2[210162] = 5.5
DWW_year2[210163] = 3.0
DWW_year2[210164] = 15.0
DWW_year2[210165] = 7.5
DWW_year2[210166] = 7.0
DWW_year2[210167] = 7.0
DWW_year2[210168] = 7.5
DWW_year2[210169] = 7.0
DWW_year2[210170] = 7.0
DWW_year2[210171] = 7.0
DWW_year2[210172] = 7.0
DWW_year2[210173] = 7.0
DWW_year2[210174] = 1.5
# Sample 69
DWW_year2[210850] = 5.0
DWW_year2[210852] = 2.0
DWW_year2[210853] = 6.0
DWW_year2[210854] = 1.0
DWW_year2[210855] = 2.0
DWW_year2[210858] = 3.0
DWW_year2[210859] = 0.5
DWW_year2[210860] = 4.5
DWW_year2[210863] = 1.5
DWW_year2[210867] = 8.0
DWW_year2[210868] = 8.0
DWW_year2[210869] = 8.5
DWW_year2[210870] = 6.0
DWW_year2[210871] = 6.0
DWW_year2[210872] = 6.0
DWW_year2[210873] = 6.0
DWW_year2[210874] = 5.0
DWW_year2[210875] = 2.5
DWW_year2[210876] = 1.0
DWW_year2[210882] = 5.5
DWW_year2[210883] = 7.0
DWW_year2[210884] = 7.0
DWW_year2[210889] = 5.0
DWW_year2[210890] = 7.0
DWW_year2[210891] = 7.0
DWW_year2[210892] = 1.5
DWW_year2[210893] = 1.5
# Sample 70
DWW_year2[215541] = 1.0
DWW_year2[215542] = 2.0
DWW_year2[215543] = 1.5
DWW_year2[215550] = 1.5
DWW_year2[215551] = 1.5
DWW_year2[215557] = 0.5
DWW_year2[215558] = 5.0
DWW_year2[215559] = 1.5
DWW_year2[215563] = 4.5
DWW_year2[215564] = 6.0
DWW_year2[215565] = 6.5
DWW_year2[215566] = 8.0
DWW_year2[215567] = 7.5
DWW_year2[215568] = 6.5
DWW_year2[215569] = 6.0
DWW_year2[215570] = 6.5
DWW_year2[215571] = 6.0
DWW_year2[215572] = 6.5
DWW_year2[215573] = 7.0
DWW_year2[215574] = 8.5
DWW_year2[215575] = 7.0
DWW_year2[215576] = 5.5
DWW_year2[215578] = 4.0
DWW_year2[215579] = 4.5
DWW_year2[215580] = 4.5
DWW_year2[215581] = 4.5
DWW_year2[215582] = 7.5
DWW_year2[215583] = 8.5
DWW_year2[215584] = 5.5
DWW_year2[215587] = 1.5
DWW_year2[215588] = 7.0
DWW_year2[215589] = 6.5
DWW_year2[215592] = 4.0
DWW_year2[215593] = 1.0
DWW_year2[215594] = 1.0
DWW_year2[215595] = 0.5
DWW_year2[215596] = 3.0
DWW_year2[215597] = 1.0
DWW_year2[215598] = 2.5
DWW_year2[215599] = 0.5
DWW_year2[215600] = 2.0
DWW_year2[215601] = 7.0
DWW_year2[215602] = 6.0
DWW_year2[215603] = 7.5
DWW_year2[215604] = 1.5
DWW_year2[215605] = 2.0
DWW_year2[215606] = 4.0
DWW_year2[215607] = 4.5
DWW_year2[215608] = 2.5
DWW_year2[215609] = 2.0
DWW_year2[215610] = 1.0
DWW_year2[215611] = 0.5
DWW_year2[215612] = 0.5
DWW_year2[215613] = 1.0
DWW_year2[215614] = 4.0
DWW_year2[215615] = 0.5
DWW_year2[215619] = 1.0
DWW_year2[215624] = 0.5
DWW_year2[215634] = 0.5
DWW_year2[215635] = 0.5
DWW_year2[215638] = 0.5
# Sample 71
DWW_year2[215644] = 3.5
DWW_year2[215645] = 0.5
DWW_year2[215660] = 1.5
DWW_year2[215661] = 1.0
DWW_year2[215665] = 0.5
DWW_year2[215666] = 0.5
DWW_year2[215671] = 4.5
DWW_year2[215672] = 3.0
# Sample 72
DWW_year2[221464] = 1.0
DWW_year2[221465] = 2.0
DWW_year2[221466] = 2.5
DWW_year2[221467] = 3.5
DWW_year2[221469] = 1.0
DWW_year2[221470] = 4.0
DWW_year2[221471] = 4.5
DWW_year2[221472] = 6.5
DWW_year2[221473] = 6.0
DWW_year2[221474] = 2.0
DWW_year2[221475] = 1.0
DWW_year2[221477] = 3.5
DWW_year2[221478] = 4.0
DWW_year2[221479] = 6.5
DWW_year2[221480] = 5.5
DWW_year2[221482] = 2.0
DWW_year2[221483] = 3.5
DWW_year2[221484] = 1.0
DWW_year2[221485] = 6.0
DWW_year2[221486] = 5.0
DWW_year2[221488] = 5.5
DWW_year2[221489] = 7.0
DWW_year2[221490] = 6.5
DWW_year2[221491] = 1.5
DWW_year2[221492] = 0.5
DWW_year2[221493] = 9.5
DWW_year2[221494] = 4.0
DWW_year2[221495] = 5.5
DWW_year2[221497] = 0.5
DWW_year2[221498] = 3.0
DWW_year2[221499] = 1.0
DWW_year2[221503] = 3.0
DWW_year2[221506] = 2.5
DWW_year2[221507] = 1.0
DWW_year2[221515] = 0.5
DWW_year2[221516] = 2.5
DWW_year2[221517] = 0.5
DWW_year2[221524] = 2.5
DWW_year2[221525] = 0.5
DWW_year2[221528] = 0.5
DWW_year2[221529] = 0.5
DWW_year2[221530] = 1.0
DWW_year2[221531] = 1.5
DWW_year2[221532] = 2.5
DWW_year2[221533] = 0.5
DWW_year2[221544] = 0.5
DWW_year2[221545] = 2.5
DWW_year2[221546] = 4.0
DWW_year2[221563] = 7.5
DWW_year2[221564] = 7.0
DWW_year2[221565] = 7.5
DWW_year2[221566] = 7.0
DWW_year2[221567] = 7.0
DWW_year2[221568] = 7.0
DWW_year2[221569] = 7.0
DWW_year2[221570] = 7.0
DWW_year2[221571] = 2.0
DWW_year2[221574] = 0.5
DWW_year2[221575] = 2.5
DWW_year2[221576] = 12.5
DWW_year2[221577] = 8.5
DWW_year2[221578] = 7.0
DWW_year2[221579] = 7.0
DWW_year2[221580] = 7.5
DWW_year2[221581] = 7.5
DWW_year2[221582] = 11.0
DWW_year2[221583] = 7.0
DWW_year2[221584] = 7.0
DWW_year2[221585] = 4.5
# Sample 73
DWW_year2[221729] = 1.5
DWW_year2[221731] = 1.0
DWW_year2[221732] = 2.0
DWW_year2[221789] = 4.0
# Sample 74
DWW_year2[229582] = 1.5
DWW_year2[229583] = 2.5
DWW_year2[229584] = 1.5
DWW_year2[229585] = 2.0
DWW_year2[229587] = 0.5
DWW_year2[229592] = 1.0
DWW_year2[229593] = 2.0
DWW_year2[229594] = 0.5
DWW_year2[229595] = 5.5
DWW_year2[229596] = 5.5
DWW_year2[229599] = 5.5
DWW_year2[229600] = 5.0
DWW_year2[229601] = 7.0
DWW_year2[229602] = 5.5
DWW_year2[229603] = 0.5
DWW_year2[229608] = 1.0
DWW_year2[229609] = 2.0
DWW_year2[229611] = 0.5
DWW_year2[229616] = 1.0
DWW_year2[229617] = 2.0
DWW_year2[229624] = 1.0
DWW_year2[229625] = 2.0
DWW_year2[229654] = 2.0
DWW_year2[229655] = 1.0
DWW_year2[229662] = 1.5
DWW_year2[229663] = 2.5
DWW_year2[229675] = 0.5
DWW_year2[229695] = 2.0
DWW_year2[229696] = 5.5
DWW_year2[229697] = 2.0
DWW_year2[229698] = 0.5
DWW_year2[229701] = 1.0
DWW_year2[229729] = 0.5
DWW_year2[229730] = 0.5
# Sample 75
DWW_year2[229886] = 0.5
DWW_year2[229887] = 0.5
DWW_year2[229888] = 0.5
DWW_year2[229889] = 2.5
DWW_year2[229890] = 0.5
DWW_year2[229896] = 0.5
DWW_year2[229897] = 2.5
DWW_year2[229903] = 7.0
DWW_year2[229904] = 6.0
DWW_year2[229905] = 6.5
DWW_year2[229907] = 3.5
DWW_year2[229912] = 0.5
DWW_year2[229913] = 7.0
DWW_year2[229914] = 6.0
DWW_year2[229915] = 5.5
DWW_year2[229916] = 3.5
DWW_year2[229922] = 1.0
DWW_year2[229923] = 9.0
DWW_year2[229924] = 7.0
DWW_year2[229925] = 1.5
DWW_year2[229926] = 0.5
DWW_year2[229927] = 0.5
DWW_year2[229931] = 25.0
DWW_year2[229932] = 13.0
DWW_year2[229933] = 7.0
DWW_year2[229934] = 7.5
DWW_year2[229935] = 7.0
DWW_year2[229936] = 7.5
DWW_year2[229937] = 11.0
DWW_year2[229938] = 7.0
DWW_year2[229939] = 4.0
DWW_year2[229942] = 7.0
DWW_year2[229943] = 10.0
DWW_year2[229944] = 3.0
DWW_year2[229945] = 1.5
DWW_year2[229946] = 1.0
DWW_year2[229947] = 1.0
DWW_year2[229948] = 0.5
DWW_year2[229949] = 3.5
DWW_year2[229950] = 2.5
DWW_year2[229951] = 2.5
DWW_year2[229952] = 0.5
DWW_year2[229953] = 11.0
DWW_year2[229954] = 7.0
DWW_year2[229955] = 1.5
DWW_year2[229956] = 4.5
DWW_year2[229960] = 6.0
DWW_year2[229978] = 6.0
DWW_year2[229979] = 7.0
DWW_year2[229980] = 2.5
DWW_year2[229982] = 3.5
DWW_year2[229989] = 5.5
DWW_year2[229990] = 6.0
DWW_year2[229991] = 4.0
DWW_year2[229993] = 2.5
DWW_year2[229994] = 1.5
DWW_year2[229999] = 4.0
DWW_year2[230000] = 7.0
DWW_year2[230001] = 5.5
DWW_year2[230002] = 3.5
DWW_year2[230006] = 1.5
DWW_year2[230008] = 11.5
DWW_year2[230009] = 6.5
# Sample 76
DWW_year2[236688] = 3.0
DWW_year2[236690] = 1.5
DWW_year2[236691] = 2.0
DWW_year2[236693] = 1.5
DWW_year2[236698] = 1.5
DWW_year2[236699] = 1.5
DWW_year2[236702] = 3.0
DWW_year2[236703] = 6.0
DWW_year2[236704] = 6.5
DWW_year2[236705] = 6.5
DWW_year2[236706] = 8.0
DWW_year2[236707] = 8.5
DWW_year2[236708] = 6.5
DWW_year2[236709] = 6.5
DWW_year2[236710] = 2.0
DWW_year2[236714] = 8.5
DWW_year2[236715] = 3.5
DWW_year2[236717] = 3.0
DWW_year2[236718] = 6.0
DWW_year2[236719] = 6.5
DWW_year2[236720] = 4.0
DWW_year2[236722] = 3.0
DWW_year2[236723] = 7.0
DWW_year2[236724] = 2.5
DWW_year2[236730] = 1.5
DWW_year2[236731] = 1.5
DWW_year2[236752] = 1.5
DWW_year2[236753] = 1.5
DWW_year2[236760] = 1.5
DWW_year2[236761] = 1.5
DWW_year2[236821] = 1.0
DWW_year2[236824] = 3.5
DWW_year2[236828] = 1.0
DWW_year2[236829] = 2.0
DWW_year2[236836] = 1.0
DWW_year2[236837] = 2.0
DWW_year2[236838] = 1.0
DWW_year2[236844] = 0.5
DWW_year2[236845] = 2.5
DWW_year2[236852] = 0.5
DWW_year2[236853] = 2.5
DWW_year2[236880] = 2.5
DWW_year2[236881] = 0.5
DWW_year2[236888] = 2.5
DWW_year2[236889] = 0.5
# Sample 77
DWW_year2[242436] = 2.5
DWW_year2[242437] = 2.0
DWW_year2[242444] = 1.0
DWW_year2[242445] = 2.0
DWW_year2[242452] = 1.0
DWW_year2[242453] = 2.0
DWW_year2[242460] = 1.0
DWW_year2[242461] = 2.0
DWW_year2[242468] = 1.0
DWW_year2[242469] = 2.0
DWW_year2[242476] = 1.0
DWW_year2[242477] = 1.5
DWW_year2[242493] = 3.5
DWW_year2[242509] = 2.5
DWW_year2[242510] = 0.5
DWW_year2[242517] = 2.0
DWW_year2[242518] = 1.0
DWW_year2[242586] = 3.0
DWW_year2[242587] = 4.0
# Sample 78
DWW_year2[242619] = 2.0
DWW_year2[242620] = 3.0
DWW_year2[242621] = 1.0
DWW_year2[242645] = 0.5
DWW_year2[242646] = 0.5
DWW_year2[242648] = 0.5
DWW_year2[242649] = 1.0
DWW_year2[242650] = 0.5
DWW_year2[242659] = 1.0
DWW_year2[242682] = 6.5
DWW_year2[242683] = 3.0
# Sample 79
DWW_year2[248232] = 0.5
DWW_year2[248233] = 0.5
DWW_year2[248235] = 5.5
DWW_year2[248236] = 2.5
DWW_year2[248237] = 8.0
DWW_year2[248238] = 6.0
DWW_year2[248239] = 1.5
DWW_year2[248240] = 4.5
DWW_year2[248243] = 3.0
DWW_year2[248244] = 2.0
DWW_year2[248245] = 1.0
DWW_year2[248246] = 9.5
DWW_year2[248247] = 7.5
DWW_year2[248248] = 3.5
DWW_year2[248249] = 4.0
DWW_year2[248250] = 7.0
DWW_year2[248251] = 9.0
DWW_year2[248252] = 4.5
DWW_year2[248254] = 1.0
DWW_year2[248255] = 12.5
DWW_year2[248256] = 8.5
DWW_year2[248257] = 6.5
DWW_year2[248258] = 5.5
DWW_year2[248259] = 2.0
DWW_year2[248260] = 1.0
DWW_year2[248262] = 4.0
DWW_year2[248263] = 6.5
DWW_year2[248264] = 2.5
DWW_year2[248265] = 14.0
DWW_year2[248266] = 8.0
DWW_year2[248267] = 9.0
DWW_year2[248268] = 8.0
DWW_year2[248270] = 1.0
DWW_year2[248271] = 0.5
DWW_year2[248274] = 2.5
DWW_year2[248275] = 5.5
DWW_year2[248276] = 0.5
DWW_year2[248294] = 1.5
DWW_year2[248295] = 1.5
DWW_year2[248300] = 0.5
DWW_year2[248302] = 1.5
DWW_year2[248303] = 1.5
DWW_year2[248353] = 2.0
DWW_year2[248357] = 2.0
DWW_year2[248358] = 1.0
DWW_year2[248373] = 5.5
DWW_year2[248374] = 1.0
# Sample 80
DWW_year2[251702] = 5.5
DWW_year2[251703] = 1.5
DWW_year2[251704] = 2.5
DWW_year2[251705] = 1.5
DWW_year2[251706] = 2.0
DWW_year2[251708] = 2.5
DWW_year2[251710] = 3.5
DWW_year2[251712] = 1.5
DWW_year2[251713] = 2.0
DWW_year2[251720] = 1.0
DWW_year2[251721] = 2.0
DWW_year2[251724] = 0.5
DWW_year2[251728] = 1.5
DWW_year2[251729] = 1.5
DWW_year2[251736] = 1.5
DWW_year2[251737] = 2.0
DWW_year2[251744] = 1.0
DWW_year2[251745] = 2.0
DWW_year2[251763] = 0.5
DWW_year2[251764] = 0.5
DWW_year2[251776] = 2.5
DWW_year2[251777] = 10.5
DWW_year2[251778] = 15.5
DWW_year2[251779] = 6.0
DWW_year2[251780] = 1.5
DWW_year2[251781] = 1.5
DWW_year2[251784] = 15.5
DWW_year2[251785] = 16.0
DWW_year2[251786] = 9.5
DWW_year2[251788] = 2.0
DWW_year2[251789] = 1.0
DWW_year2[251793] = 4.5
DWW_year2[251794] = 1.0
DWW_year2[251795] = 1.0
DWW_year2[251797] = 1.0
DWW_year2[251805] = 7.5
DWW_year2[251806] = 14.0
DWW_year2[251807] = 7.0
DWW_year2[251808] = 7.0
DWW_year2[251809] = 7.0
DWW_year2[251810] = 7.0
DWW_year2[251811] = 7.0
DWW_year2[251812] = 7.0
DWW_year2[251813] = 7.0
DWW_year2[251814] = 3.5
DWW_year2[251820] = 0.5
DWW_year2[251837] = 6.5
DWW_year2[251838] = 0.5
DWW_year2[251839] = 0.5
DWW_year2[251840] = 4.5
DWW_year2[251842] = 0.5
DWW_year2[251843] = 0.5
DWW_year2[251844] = 0.5
DWW_year2[251846] = 0.5
DWW_year2[251848] = 1.5
DWW_year2[251850] = 3.0
DWW_year2[251852] = 0.5
# Sample 81
DWW_year2[251893] = 2.5
DWW_year2[251894] = 0.5
DWW_year2[251925] = 0.5
DWW_year2[251944] = 0.5
DWW_year2[251949] = 0.5
DWW_year2[251950] = 0.5
DWW_year2[251951] = 15.0
DWW_year2[251952] = 6.0
# Sample 82
DWW_year2[257075] = 1.0
DWW_year2[257076] = 2.0
DWW_year2[257077] = 3.0
DWW_year2[257078] = 2.0
DWW_year2[257081] = 3.0
DWW_year2[257082] = 3.5
DWW_year2[257083] = 3.5
DWW_year2[257084] = 3.5
DWW_year2[257085] = 5.0
DWW_year2[257086] = 5.0
DWW_year2[257087] = 7.0
DWW_year2[257088] = 7.0
DWW_year2[257089] = 6.5
DWW_year2[257090] = 1.0
DWW_year2[257093] = 1.5
DWW_year2[257094] = 1.5
DWW_year2[257095] = 5.0
DWW_year2[257096] = 7.0
DWW_year2[257097] = 1.0
DWW_year2[257101] = 1.5
DWW_year2[257102] = 1.5
DWW_year2[257104] = 1.5
DWW_year2[257105] = 6.0
DWW_year2[257106] = 6.0
DWW_year2[257107] = 6.0
DWW_year2[257108] = 0.5
DWW_year2[257109] = 1.5
DWW_year2[257110] = 1.5
DWW_year2[257111] = 3.5
DWW_year2[257112] = 6.0
DWW_year2[257113] = 12.0
DWW_year2[257114] = 7.0
DWW_year2[257115] = 3.0
DWW_year2[257116] = 1.0
DWW_year2[257117] = 1.5
DWW_year2[257118] = 1.5
DWW_year2[257122] = 1.5
DWW_year2[257125] = 2.0
DWW_year2[257126] = 3.0
DWW_year2[257127] = 1.0
DWW_year2[257128] = 0.5
DWW_year2[257140] = 1.0
DWW_year2[257141] = 0.5
DWW_year2[257142] = 5.5
DWW_year2[257149] = 1.0
DWW_year2[257150] = 2.0
# Sample 83
DWW_year2[260352] = 1.5
DWW_year2[260353] = 3.0
DWW_year2[260354] = 3.0
DWW_year2[260357] = 10.0
DWW_year2[260358] = 8.5
DWW_year2[260360] = 1.0
DWW_year2[260361] = 7.0
DWW_year2[260362] = 9.5
DWW_year2[260363] = 5.5
DWW_year2[260364] = 5.0
DWW_year2[260365] = 5.5
DWW_year2[260366] = 5.0
DWW_year2[260367] = 7.0
DWW_year2[260368] = 7.0
DWW_year2[260369] = 8.0
DWW_year2[260370] = 7.5
DWW_year2[260373] = 10.5
DWW_year2[260374] = 20.5
DWW_year2[260375] = 23.5
DWW_year2[260376] = 10.0
DWW_year2[260377] = 2.5
DWW_year2[260378] = 17.0
DWW_year2[260379] = 21.0
DWW_year2[260380] = 26.0
DWW_year2[260381] = 24.0
DWW_year2[260382] = 8.5
DWW_year2[260383] = 3.5
DWW_year2[260384] = 1.0
DWW_year2[260385] = 1.0
DWW_year2[260386] = 2.0
DWW_year2[260389] = 6.0
DWW_year2[260390] = 2.0
DWW_year2[260393] = 1.0
DWW_year2[260394] = 2.0
DWW_year2[260396] = 0.5
DWW_year2[260398] = 6.0
DWW_year2[260399] = 7.0
DWW_year2[260400] = 5.0
DWW_year2[260401] = 5.0
DWW_year2[260402] = 1.0
DWW_year2[260408] = 11.0
DWW_year2[260409] = 6.5
DWW_year2[260418] = 1.5
DWW_year2[260419] = 1.5
DWW_year2[260426] = 1.5
DWW_year2[260427] = 1.5
DWW_year2[260453] = 1.0
DWW_year2[260455] = 1.0
DWW_year2[260456] = 2.5
DWW_year2[260457] = 2.0
# Sample 84
DWW_year2[260466] = 1.0
DWW_year2[260467] = 2.0
DWW_year2[260470] = 2.5
DWW_year2[260471] = 15.5
DWW_year2[260472] = 7.0
DWW_year2[260473] = 7.0
DWW_year2[260474] = 7.0
DWW_year2[260475] = 7.0
DWW_year2[260476] = 7.0
DWW_year2[260477] = 7.0
DWW_year2[260478] = 7.0
DWW_year2[260479] = 2.5
DWW_year2[260487] = 3.5
DWW_year2[260488] = 7.0
DWW_year2[260489] = 7.0
DWW_year2[260490] = 7.0
DWW_year2[260491] = 7.0
DWW_year2[260492] = 7.0
DWW_year2[260493] = 7.0
DWW_year2[260494] = 6.5
DWW_year2[260495] = 7.0
DWW_year2[260496] = 7.0
DWW_year2[260497] = 7.0
DWW_year2[260498] = 6.5
DWW_year2[260499] = 6.5
DWW_year2[260505] = 0.5
DWW_year2[260507] = 0.5
DWW_year2[260508] = 0.5
DWW_year2[260509] = 1.0
# Sample 85
DWW_year2[266858] = 4.5
DWW_year2[266859] = 1.0
DWW_year2[266860] = 4.0
DWW_year2[266861] = 6.5
DWW_year2[266862] = 2.5
DWW_year2[266863] = 1.5
DWW_year2[266864] = 1.5
DWW_year2[266865] = 4.0
DWW_year2[266868] = 0.5
DWW_year2[266869] = 2.5
DWW_year2[266870] = 0.5
DWW_year2[266876] = 0.5
DWW_year2[266877] = 2.0
DWW_year2[266878] = 1.0
DWW_year2[266884] = 0.5
DWW_year2[266885] = 3.0
DWW_year2[266886] = 0.5
DWW_year2[266893] = 3.5
DWW_year2[266894] = 0.5
DWW_year2[266895] = 2.5
DWW_year2[266896] = 2.0
DWW_year2[266900] = 0.5
DWW_year2[266901] = 2.0
DWW_year2[266902] = 0.5
DWW_year2[266904] = 1.5
DWW_year2[266913] = 0.5
DWW_year2[266914] = 0.5
DWW_year2[266916] = 0.5
DWW_year2[266928] = 2.0
DWW_year2[266929] = 1.0
DWW_year2[266934] = 1.0
DWW_year2[266936] = 6.5
DWW_year2[266937] = 2.5
DWW_year2[266968] = 2.5
DWW_year2[266969] = 1.5
DWW_year2[266980] = 1.0
DWW_year2[266983] = 1.0
DWW_year2[266984] = 4.0
DWW_year2[266985] = 1.0
DWW_year2[266989] = 6.0
DWW_year2[266990] = 2.0
DWW_year2[267021] = 1.0
DWW_year2[267022] = 6.5
DWW_year2[267023] = 6.5
DWW_year2[267024] = 1.0
DWW_year2[267025] = 4.0
DWW_year2[267026] = 0.5
# Sample 86
DWW_year2[270410] = 5.5
DWW_year2[270411] = 5.5
DWW_year2[270412] = 7.5
DWW_year2[270413] = 8.0
DWW_year2[270414] = 3.5
DWW_year2[270416] = 6.5
DWW_year2[270417] = 6.5
DWW_year2[270418] = 6.0
DWW_year2[270419] = 6.5
DWW_year2[270420] = 4.0
DWW_year2[270421] = 7.0
DWW_year2[270422] = 1.5
DWW_year2[270423] = 1.0
DWW_year2[270425] = 0.5
DWW_year2[270427] = 3.5
DWW_year2[270428] = 1.5
DWW_year2[270429] = 1.5
DWW_year2[270436] = 1.5
DWW_year2[270437] = 1.5
DWW_year2[270444] = 1.5
DWW_year2[270445] = 1.5
DWW_year2[270452] = 1.5
DWW_year2[270453] = 1.5
DWW_year2[270460] = 1.5
DWW_year2[270486] = 2.0
DWW_year2[270487] = 1.0
DWW_year2[270494] = 1.5
DWW_year2[270495] = 2.5
DWW_year2[270524] = 2.0
DWW_year2[270525] = 16.0
DWW_year2[270526] = 16.5
DWW_year2[270527] = 12.5
DWW_year2[270528] = 1.5
DWW_year2[270529] = 4.5
DWW_year2[270531] = 0.5
DWW_year2[270533] = 2.0
DWW_year2[270534] = 0.5
DWW_year2[270553] = 17.0
DWW_year2[270554] = 8.0
DWW_year2[270555] = 7.5
DWW_year2[270556] = 7.0
DWW_year2[270557] = 7.0
DWW_year2[270558] = 7.0
DWW_year2[270559] = 7.0
DWW_year2[270560] = 7.0
DWW_year2[270561] = 6.5
DWW_year2[270562] = 7.0
DWW_year2[270563] = 7.0
DWW_year2[270564] = 7.0
DWW_year2[270565] = 7.0
# Sample 87
DWW_year2[270578] = 0.5
DWW_year2[270580] = 1.5
DWW_year2[270581] = 2.5
DWW_year2[270582] = 13.0
DWW_year2[270583] = 7.0
DWW_year2[270584] = 7.0
DWW_year2[270585] = 7.0
DWW_year2[270586] = 7.0
DWW_year2[270587] = 7.0
DWW_year2[270588] = 6.5
DWW_year2[270589] = 7.0
DWW_year2[270590] = 7.0
DWW_year2[270591] = 7.0
DWW_year2[270592] = 6.5
DWW_year2[270593] = 7.0
DWW_year2[270594] = 3.5
DWW_year2[270598] = 1.0
DWW_year2[270600] = 0.5
DWW_year2[270601] = 1.0
# Sample 88
DWW_year2[274513] = 0.5
DWW_year2[274515] = 3.5
DWW_year2[274516] = 2.5
DWW_year2[274520] = 0.5
DWW_year2[274523] = 0.5
DWW_year2[274524] = 2.5
DWW_year2[274526] = 4.5
DWW_year2[274527] = 4.0
DWW_year2[274528] = 0.5
DWW_year2[274529] = 0.5
DWW_year2[274531] = 0.5
DWW_year2[274532] = 2.0
DWW_year2[274533] = 0.5
DWW_year2[274536] = 0.5
DWW_year2[274539] = 0.5
DWW_year2[274540] = 2.0
DWW_year2[274541] = 0.5
DWW_year2[274542] = 0.5
DWW_year2[274547] = 0.5
DWW_year2[274548] = 2.5
DWW_year2[274555] = 0.5
DWW_year2[274556] = 2.0
DWW_year2[274557] = 0.5
DWW_year2[274587] = 0.5
DWW_year2[274591] = 2.0
DWW_year2[274592] = 1.0
DWW_year2[274599] = 1.5
DWW_year2[274600] = 1.0
DWW_year2[274627] = 2.0
DWW_year2[274628] = 0.5
DWW_year2[274629] = 3.5
DWW_year2[274630] = 7.5
DWW_year2[274631] = 9.0
DWW_year2[274633] = 0.5
DWW_year2[274634] = 6.0
DWW_year2[274637] = 0.5
DWW_year2[274638] = 0.5
DWW_year2[274639] = 5.5
DWW_year2[274640] = 2.0
DWW_year2[274641] = 2.0
# Sample 89
DWW_year2[280184] = 1.0
DWW_year2[280187] = 3.5
DWW_year2[280188] = 0.5
DWW_year2[280195] = 2.5
DWW_year2[280196] = 0.5
DWW_year2[280197] = 1.5
DWW_year2[280198] = 5.5
DWW_year2[280199] = 0.5
DWW_year2[280200] = 1.0
DWW_year2[280201] = 5.5
DWW_year2[280202] = 6.0
DWW_year2[280203] = 8.5
DWW_year2[280204] = 7.0
DWW_year2[280205] = 6.5
DWW_year2[280206] = 4.5
DWW_year2[280211] = 7.0
DWW_year2[280212] = 6.5
DWW_year2[280213] = 6.5
DWW_year2[280214] = 6.0
DWW_year2[280215] = 0.5
DWW_year2[280218] = 2.0
DWW_year2[280219] = 8.5
DWW_year2[280220] = 1.0
DWW_year2[280221] = 1.5
DWW_year2[280222] = 2.0
DWW_year2[280223] = 5.5
DWW_year2[280224] = 3.5
DWW_year2[280225] = 0.5
DWW_year2[280227] = 2.5
DWW_year2[280228] = 0.5
DWW_year2[280230] = 0.5
DWW_year2[280246] = 0.5
DWW_year2[280247] = 2.5
DWW_year2[280254] = 0.5
DWW_year2[280255] = 2.0
DWW_year2[280313] = 3.0
DWW_year2[280314] = 5.5
# Sample 90
DWW_year2[283374] = 2.5
DWW_year2[283375] = 0.5
DWW_year2[283376] = 0.5
DWW_year2[283377] = 5.0
DWW_year2[283378] = 4.0
DWW_year2[283383] = 5.5
DWW_year2[283384] = 0.5
DWW_year2[283385] = 3.0
DWW_year2[283386] = 6.0
DWW_year2[283387] = 7.5
DWW_year2[283388] = 6.0
DWW_year2[283389] = 6.5
DWW_year2[283390] = 6.5
DWW_year2[283391] = 12.5
DWW_year2[283392] = 11.5
DWW_year2[283393] = 4.5
DWW_year2[283394] = 3.5
DWW_year2[283395] = 6.5
DWW_year2[283396] = 2.0
DWW_year2[283398] = 2.5
DWW_year2[283400] = 0.5
DWW_year2[283401] = 2.5
DWW_year2[283408] = 0.5
DWW_year2[283409] = 2.5
DWW_year2[283414] = 7.0
DWW_year2[283415] = 5.5
DWW_year2[283416] = 3.5
DWW_year2[283417] = 2.0
DWW_year2[283418] = 4.0
DWW_year2[283420] = 0.5
DWW_year2[283424] = 9.0
DWW_year2[283425] = 6.0
DWW_year2[283427] = 6.5
DWW_year2[283432] = 1.5
DWW_year2[283433] = 8.5
DWW_year2[283434] = 5.0
DWW_year2[283436] = 3.5
DWW_year2[283439] = 3.0
DWW_year2[283440] = 0.5
DWW_year2[283441] = 4.5
DWW_year2[283442] = 8.0
DWW_year2[283443] = 4.5
DWW_year2[283444] = 1.0
DWW_year2[283445] = 1.0
DWW_year2[283446] = 0.5
DWW_year2[283449] = 5.5
DWW_year2[283450] = 5.0
DWW_year2[283451] = 0.5
DWW_year2[283452] = 0.5
DWW_year2[283456] = 0.5
DWW_year2[283457] = 2.5
DWW_year2[283458] = 2.0
DWW_year2[283464] = 1.0
DWW_year2[283465] = 2.0
DWW_year2[283466] = 2.0
DWW_year2[283471] = 16.5
DWW_year2[283472] = 8.0
DWW_year2[283473] = 7.0
DWW_year2[283474] = 7.0
DWW_year2[283475] = 7.0
DWW_year2[283476] = 7.0
DWW_year2[283477] = 7.0
DWW_year2[283478] = 7.0
DWW_year2[283479] = 7.0
DWW_year2[283480] = 6.5
DWW_year2[283481] = 7.0
DWW_year2[283482] = 7.0
DWW_year2[283483] = 4.5
DWW_year2[283491] = 8.5
DWW_year2[283492] = 7.0
DWW_year2[283493] = 7.0
DWW_year2[283494] = 7.0
DWW_year2[283495] = 6.5
DWW_year2[283496] = 7.0
DWW_year2[283497] = 7.0
DWW_year2[283498] = 6.5
DWW_year2[283499] = 7.0
DWW_year2[283500] = 7.0
DWW_year2[283501] = 6.5
DWW_year2[283502] = 7.0
DWW_year2[283503] = 5.5
DWW_year2[283507] = 0.5
DWW_year2[283511] = 1.0
DWW_year2[283512] = 0.5
DWW_year2[283513] = 1.0
DWW_year2[283517] = 1.0
DWW_year2[283518] = 1.5
DWW_year2[283519] = 5.5
DWW_year2[283520] = 0.5
DWW_year2[283521] = 0.5
DWW_year2[283523] = 0.5
DWW_year2[283525] = 0.5
DWW_year2[283526] = 6.0
# Sample 91
DWW_year2[287730] = 1.5
DWW_year2[287731] = 0.5
DWW_year2[287732] = 1.5
DWW_year2[287733] = 2.5
DWW_year2[287734] = 0.5
DWW_year2[287739] = 3.5
DWW_year2[287740] = 6.0
DWW_year2[287741] = 8.0
DWW_year2[287742] = 4.0
DWW_year2[287744] = 0.5
DWW_year2[287746] = 0.5
DWW_year2[287747] = 0.5
DWW_year2[287748] = 0.5
DWW_year2[287749] = 5.5
DWW_year2[287750] = 2.5
DWW_year2[287751] = 1.0
DWW_year2[287753] = 3.5
DWW_year2[287754] = 10.5
DWW_year2[287755] = 17.5
DWW_year2[287756] = 21.5
DWW_year2[287757] = 17.5
DWW_year2[287758] = 1.0
DWW_year2[287759] = 0.5
DWW_year2[287761] = 0.5
DWW_year2[287762] = 1.5
DWW_year2[287763] = 16.5
DWW_year2[287764] = 10.5
DWW_year2[287765] = 9.5
DWW_year2[287766] = 6.5
DWW_year2[287767] = 0.5
DWW_year2[287771] = 3.0
DWW_year2[287773] = 2.5
DWW_year2[287774] = 0.5
DWW_year2[287776] = 1.0
DWW_year2[287777] = 0.5
DWW_year2[287778] = 1.0
DWW_year2[287780] = 0.5
DWW_year2[287791] = 4.5
DWW_year2[287792] = 7.5
DWW_year2[287793] = 7.0
DWW_year2[287794] = 6.0
DWW_year2[287795] = 5.5
DWW_year2[287797] = 1.5
DWW_year2[287798] = 6.0
DWW_year2[287799] = 5.5
DWW_year2[287800] = 2.0
DWW_year2[287801] = 3.5
DWW_year2[287802] = 2.5
DWW_year2[287803] = 5.0
DWW_year2[287804] = 1.0
DWW_year2[287806] = 0.5
DWW_year2[287821] = 7.5
DWW_year2[287822] = 12.5
DWW_year2[287823] = 7.0
DWW_year2[287824] = 7.0
DWW_year2[287825] = 7.5
DWW_year2[287826] = 7.0
DWW_year2[287827] = 7.0
DWW_year2[287828] = 6.5
DWW_year2[287829] = 7.0
DWW_year2[287830] = 4.0
DWW_year2[287837] = 7.5
DWW_year2[287838] = 7.0
DWW_year2[287839] = 7.0
DWW_year2[287840] = 7.0
DWW_year2[287841] = 6.5
DWW_year2[287842] = 7.0
DWW_year2[287843] = 7.0
DWW_year2[287844] = 6.5
DWW_year2[287845] = 7.0
DWW_year2[287846] = 7.0
DWW_year2[287847] = 7.0
DWW_year2[287848] = 5.5
DWW_year2[287852] = 0.5
DWW_year2[287854] = 0.5
DWW_year2[287855] = 0.5
DWW_year2[287856] = 1.0
DWW_year2[287863] = 2.0
# Sample 92
DWW_year2[287909] = 4.0
DWW_year2[287910] = 4.5
DWW_year2[287911] = 2.0
DWW_year2[287912] = 0.5
DWW_year2[287949] = 6.5
DWW_year2[287950] = 5.0
DWW_year2[287951] = 5.5
DWW_year2[287952] = 4.0
# Sample 93
DWW_year2[292000] = 2.5
DWW_year2[292001] = 0.5
DWW_year2[292002] = 1.5
DWW_year2[292003] = 6.0
DWW_year2[292006] = 5.0
DWW_year2[292007] = 6.5
DWW_year2[292008] = 6.0
DWW_year2[292009] = 6.0
DWW_year2[292010] = 7.0
DWW_year2[292011] = 8.5
DWW_year2[292012] = 7.0
DWW_year2[292013] = 7.0
DWW_year2[292014] = 6.5
DWW_year2[292015] = 2.5
DWW_year2[292018] = 1.0
DWW_year2[292019] = 8.0
DWW_year2[292020] = 5.0
DWW_year2[292021] = 1.0
DWW_year2[292023] = 1.5
DWW_year2[292026] = 0.5
DWW_year2[292027] = 2.5
DWW_year2[292034] = 0.5
DWW_year2[292035] = 2.0
DWW_year2[292042] = 1.0
DWW_year2[292043] = 2.0
DWW_year2[292053] = 6.0
DWW_year2[292054] = 16.0
DWW_year2[292055] = 16.5
DWW_year2[292056] = 4.5
DWW_year2[292062] = 11.5
DWW_year2[292063] = 22.0
DWW_year2[292064] = 4.0
DWW_year2[292075] = 1.0
DWW_year2[292076] = 2.0
DWW_year2[292083] = 3.0
DWW_year2[292084] = 6.5
DWW_year2[292098] = 0.5
DWW_year2[292099] = 1.0
DWW_year2[292104] = 1.0
DWW_year2[292108] = 2.5
DWW_year2[292109] = 1.0
DWW_year2[292110] = 1.0
DWW_year2[292118] = 9.0
DWW_year2[292119] = 11.0
DWW_year2[292120] = 7.0
DWW_year2[292121] = 7.0
DWW_year2[292122] = 7.0
DWW_year2[292123] = 7.0
DWW_year2[292124] = 7.0
DWW_year2[292125] = 6.5
DWW_year2[292126] = 7.0
DWW_year2[292127] = 7.0
DWW_year2[292128] = 7.0
DWW_year2[292129] = 6.5
DWW_year2[292130] = 2.5
# Sample 94
DWW_year2[292293] = 2.0
DWW_year2[292294] = 1.0
DWW_year2[292315] = 0.5
DWW_year2[292316] = 5.5
DWW_year2[292317] = 1.0
DWW_year2[292319] = 6.0
DWW_year2[292320] = 2.0
DWW_year2[292322] = 0.5
DWW_year2[292323] = 1.5
DWW_year2[292324] = 0.5
DWW_year2[292325] = 2.0
DWW_year2[292326] = 0.5
DWW_year2[292354] = 0.5
DWW_year2[292358] = 0.5
DWW_year2[292360] = 5.0
DWW_year2[292361] = 2.0
# Sample 95
DWW_year2[297766] = 1.5
DWW_year2[297767] = 0.5
DWW_year2[297768] = 2.0
DWW_year2[297772] = 6.0
DWW_year2[297773] = 3.0
DWW_year2[297775] = 1.0
DWW_year2[297776] = 2.0
DWW_year2[297782] = 2.0
DWW_year2[297783] = 11.5
DWW_year2[297784] = 2.5
DWW_year2[297785] = 15.0
DWW_year2[297786] = 15.5
DWW_year2[297787] = 0.5
DWW_year2[297790] = 14.0
DWW_year2[297791] = 16.5
DWW_year2[297792] = 10.0
DWW_year2[297799] = 0.5
DWW_year2[297800] = 2.5
DWW_year2[297806] = 0.5
DWW_year2[297807] = 0.5
DWW_year2[297808] = 2.5
DWW_year2[297809] = 3.0
DWW_year2[297823] = 0.5
DWW_year2[297838] = 2.0
DWW_year2[297839] = 1.0
DWW_year2[297842] = 0.5
DWW_year2[297844] = 0.5
DWW_year2[297845] = 1.0
DWW_year2[297846] = 2.0
DWW_year2[297847] = 1.0
DWW_year2[297848] = 0.5
DWW_year2[297861] = 1.0
DWW_year2[297862] = 6.0
DWW_year2[297864] = 0.5
DWW_year2[297865] = 0.5
DWW_year2[297867] = 0.5
DWW_year2[297868] = 7.0
DWW_year2[297869] = 7.0
DWW_year2[297870] = 7.0
DWW_year2[297871] = 6.5
DWW_year2[297872] = 7.0
DWW_year2[297873] = 7.0
DWW_year2[297874] = 7.0
DWW_year2[297875] = 4.5
DWW_year2[297878] = 5.5
DWW_year2[297879] = 5.5
DWW_year2[297880] = 3.5
DWW_year2[297881] = 0.5
DWW_year2[297883] = 0.5
DWW_year2[297884] = 0.5
DWW_year2[297885] = 0.5
DWW_year2[297906] = 3.0
DWW_year2[297907] = 9.5
DWW_year2[297908] = 6.5
DWW_year2[297909] = 8.0
DWW_year2[297910] = 6.5
DWW_year2[297911] = 7.0
DWW_year2[297912] = 7.0
DWW_year2[297913] = 7.0
DWW_year2[297914] = 6.5
DWW_year2[297915] = 7.0
DWW_year2[297916] = 6.5
DWW_year2[297917] = 7.0
DWW_year2[297918] = 6.5
DWW_year2[297919] = 7.0
DWW_year2[297920] = 4.0
# Sample 96
DWW_year2[297928] = 2.0
DWW_year2[297929] = 10.5
DWW_year2[297930] = 11.0
DWW_year2[297931] = 8.0
DWW_year2[297932] = 7.5
DWW_year2[297933] = 7.0
DWW_year2[297934] = 7.0
DWW_year2[297935] = 3.5
DWW_year2[297955] = 0.5
DWW_year2[297965] = 6.0
DWW_year2[297966] = 1.5
# Sample 97
DWW_year2[302937] = 1.5
DWW_year2[302939] = 1.5
DWW_year2[302940] = 1.5
DWW_year2[302947] = 1.5
DWW_year2[302948] = 1.5
DWW_year2[302955] = 1.5
DWW_year2[302956] = 1.0
DWW_year2[302963] = 2.0
DWW_year2[302964] = 1.0
DWW_year2[302971] = 1.5
DWW_year2[302972] = 1.5
DWW_year2[302979] = 1.5
DWW_year2[302980] = 1.5
DWW_year2[303017] = 1.0
DWW_year2[303018] = 2.0
DWW_year2[303025] = 1.0
DWW_year2[303026] = 1.5
DWW_year2[303042] = 3.5
DWW_year2[303101] = 2.0
DWW_year2[303102] = 1.0
DWW_year2[303124] = 1.0
DWW_year2[303128] = 5.5
DWW_year2[303129] = 1.0
DWW_year2[303130] = 1.0
# Sample 98
DWW_year2[307287] = 2.0
DWW_year2[307288] = 9.5
DWW_year2[307289] = 4.0
DWW_year2[307293] = 1.5
DWW_year2[307294] = 0.5
DWW_year2[307295] = 1.5
DWW_year2[307296] = 2.5
DWW_year2[307297] = 1.5
DWW_year2[307298] = 4.0
DWW_year2[307299] = 4.0
DWW_year2[307301] = 1.0
DWW_year2[307302] = 0.5
DWW_year2[307303] = 1.0
DWW_year2[307304] = 5.0
DWW_year2[307305] = 1.0
DWW_year2[307312] = 2.0
DWW_year2[307313] = 1.0
DWW_year2[307320] = 1.5
DWW_year2[307321] = 1.5
DWW_year2[307328] = 1.5
DWW_year2[307329] = 1.5
DWW_year2[307333] = 3.5
DWW_year2[307334] = 5.5
DWW_year2[307335] = 2.0
DWW_year2[307336] = 2.0
DWW_year2[307337] = 2.5
DWW_year2[307338] = 2.0
DWW_year2[307339] = 2.0
DWW_year2[307340] = 3.5
DWW_year2[307341] = 6.5
DWW_year2[307342] = 4.5
DWW_year2[307347] = 5.5
DWW_year2[307348] = 6.5
DWW_year2[307349] = 6.5
DWW_year2[307350] = 4.5
DWW_year2[307354] = 2.0
DWW_year2[307356] = 4.5
DWW_year2[307357] = 3.5
DWW_year2[307358] = 3.5
DWW_year2[307359] = 0.5
DWW_year2[307360] = 5.0
DWW_year2[307361] = 8.0
DWW_year2[307362] = 3.5
DWW_year2[307363] = 5.0
DWW_year2[307365] = 2.5
DWW_year2[307366] = 6.5
DWW_year2[307367] = 5.5
DWW_year2[307368] = 1.0
DWW_year2[307369] = 2.0
DWW_year2[307371] = 11.5
DWW_year2[307375] = 1.0
DWW_year2[307376] = 3.0
DWW_year2[307377] = 5.0
DWW_year2[307378] = 5.0
DWW_year2[307379] = 5.0
DWW_year2[307380] = 7.5
DWW_year2[307381] = 0.5
DWW_year2[307382] = 0.5
DWW_year2[307383] = 4.5
DWW_year2[307384] = 5.0
DWW_year2[307386] = 2.0
DWW_year2[307387] = 1.5
DWW_year2[307389] = 1.0
DWW_year2[307391] = 1.0
DWW_year2[307393] = 2.5
DWW_year2[307394] = 0.5
DWW_year2[307395] = 2.0
DWW_year2[307396] = 1.0
DWW_year2[307397] = 1.5
DWW_year2[307398] = 1.5
DWW_year2[307400] = 8.0
# Sample 99
DWW_year2[311774] = 2.5
DWW_year2[311775] = 1.5
DWW_year2[311776] = 2.0
DWW_year2[311777] = 0.5
DWW_year2[311778] = 4.5
DWW_year2[311779] = 7.0
DWW_year2[311780] = 6.5
DWW_year2[311781] = 7.0
DWW_year2[311782] = 1.5
DWW_year2[311783] = 3.0
DWW_year2[311784] = 8.5
DWW_year2[311785] = 2.0
DWW_year2[311787] = 7.0
DWW_year2[311788] = 7.0
DWW_year2[311791] = 0.5
DWW_year2[311792] = 2.0
DWW_year2[311793] = 0.5
DWW_year2[311795] = 7.0
DWW_year2[311796] = 0.5
DWW_year2[311799] = 0.5
DWW_year2[311800] = 2.0
DWW_year2[311801] = 0.5
DWW_year2[311802] = 5.0
DWW_year2[311803] = 2.5
DWW_year2[311804] = 0.5
DWW_year2[311807] = 0.5
DWW_year2[311808] = 2.5
DWW_year2[311810] = 6.0
DWW_year2[311815] = 0.5
DWW_year2[311816] = 2.5
DWW_year2[311831] = 1.5
DWW_year2[311844] = 0.5
DWW_year2[311845] = 2.5
DWW_year2[311852] = 1.0
DWW_year2[311853] = 2.5
DWW_year2[311875] = 1.0
DWW_year2[311888] = 1.0
DWW_year2[311889] = 5.0
# Sample 100
DWW_year2[312007] = 1.0
DWW_year2[312008] = 1.5
DWW_year2[312016] = 0.5
DWW_year2[312020] = 1.0
DWW_year2[312024] = 7.0
DWW_year2[312025] = 12.5
DWW_year2[312026] = 6.5
DWW_year2[312027] = 7.0
DWW_year2[312028] = 6.5
DWW_year2[312029] = 7.0
DWW_year2[312030] = 5.5
DWW_year2[312032] = 3.0
DWW_year2[312033] = 3.0
DWW_year2[312035] = 0.5
DWW_year2[312036] = 0.5
DWW_year2[312038] = 0.5
# Sample 101
DWW_year2[316490] = 2.0
DWW_year2[316492] = 1.5
DWW_year2[316493] = 3.0
DWW_year2[316498] = 0.5
DWW_year2[316500] = 10.0
DWW_year2[316501] = 4.0
DWW_year2[316502] = 4.0
DWW_year2[316504] = 2.5
DWW_year2[316505] = 0.5
DWW_year2[316506] = 0.5
DWW_year2[316507] = 1.5
DWW_year2[316508] = 1.0
DWW_year2[316509] = 3.0
DWW_year2[316510] = 6.0
DWW_year2[316511] = 7.0
DWW_year2[316512] = 7.0
DWW_year2[316513] = 6.5
DWW_year2[316514] = 7.0
DWW_year2[316515] = 7.0
DWW_year2[316516] = 7.5
DWW_year2[316517] = 9.0
DWW_year2[316518] = 6.5
DWW_year2[316521] = 4.5
DWW_year2[316522] = 7.0
DWW_year2[316523] = 0.5
DWW_year2[316524] = 2.5
DWW_year2[316525] = 11.0
DWW_year2[316526] = 7.0
DWW_year2[316527] = 6.0
DWW_year2[316528] = 0.5
DWW_year2[316531] = 5.5
DWW_year2[316532] = 4.0
DWW_year2[316533] = 2.0
DWW_year2[316534] = 3.0
DWW_year2[316535] = 9.0
DWW_year2[316536] = 3.0
DWW_year2[316539] = 2.0
DWW_year2[316540] = 2.0
DWW_year2[316544] = 5.0
DWW_year2[316545] = 9.0
DWW_year2[316546] = 1.0
DWW_year2[316555] = 1.0
DWW_year2[316556] = 1.0
DWW_year2[316557] = 2.5
DWW_year2[316558] = 0.5
DWW_year2[316565] = 2.0
DWW_year2[316566] = 0.5
DWW_year2[316576] = 1.0
DWW_year2[316578] = 10.0
DWW_year2[316579] = 1.0
DWW_year2[316614] = 0.5
DWW_year2[316615] = 0.5
DWW_year2[316616] = 0.5
# Sample 102
DWW_year2[316824] = 17.0
DWW_year2[316825] = 3.5
DWW_year2[316826] = 2.0
DWW_year2[316829] = 2.0
DWW_year2[316831] = 1.0
DWW_year2[316848] = 0.5
DWW_year2[316870] = 3.0
DWW_year2[316871] = 4.0
# Sample 103
DWW_year2[320723] = 1.5
DWW_year2[320724] = 2.5
DWW_year2[320725] = 2.5
DWW_year2[320726] = 1.5
DWW_year2[320729] = 3.0
DWW_year2[320730] = 1.5
DWW_year2[320732] = 5.5
DWW_year2[320733] = 8.0
DWW_year2[320734] = 8.5
DWW_year2[320735] = 6.5
DWW_year2[320736] = 6.5
DWW_year2[320737] = 6.5
DWW_year2[320738] = 7.0
DWW_year2[320739] = 6.5
DWW_year2[320740] = 1.0
DWW_year2[320741] = 1.0
DWW_year2[320742] = 3.5
DWW_year2[320743] = 6.5
DWW_year2[320744] = 6.5
DWW_year2[320745] = 6.5
DWW_year2[320746] = 3.0
DWW_year2[320747] = 3.5
DWW_year2[320748] = 5.5
DWW_year2[320749] = 7.5
DWW_year2[320750] = 9.0
DWW_year2[320751] = 6.5
DWW_year2[320752] = 3.0
DWW_year2[320756] = 2.0
DWW_year2[320757] = 4.5
DWW_year2[320758] = 6.0
DWW_year2[320759] = 6.5
DWW_year2[320760] = 3.0
DWW_year2[320761] = 1.5
DWW_year2[320762] = 0.5
DWW_year2[320765] = 1.5
DWW_year2[320766] = 1.5
DWW_year2[320784] = 0.5
DWW_year2[320785] = 2.0
DWW_year2[320786] = 0.5
DWW_year2[320792] = 1.5
DWW_year2[320793] = 2.5
DWW_year2[320794] = 0.5
DWW_year2[320799] = 1.0
DWW_year2[320814] = 1.0
DWW_year2[320816] = 4.0
DWW_year2[320817] = 13.5
DWW_year2[320818] = 5.0
DWW_year2[320819] = 3.5
DWW_year2[320820] = 1.0
DWW_year2[320821] = 2.5
DWW_year2[320822] = 1.0
DWW_year2[320823] = 1.0
DWW_year2[320825] = 1.5
DWW_year2[320834] = 1.0
DWW_year2[320840] = 7.0
DWW_year2[320841] = 1.0
DWW_year2[320844] = 1.5
DWW_year2[320845] = 9.5
DWW_year2[320846] = 6.5
DWW_year2[320847] = 2.0
DWW_year2[320848] = 2.5
DWW_year2[320854] = 1.0
DWW_year2[320855] = 8.0
DWW_year2[320856] = 7.0
DWW_year2[320857] = 6.0
# Sample 104
DWW_year2[320969] = 1.0
DWW_year2[320970] = 2.0
DWW_year2[320986] = 1.0
DWW_year2[320987] = 0.5
DWW_year2[320988] = 3.0
DWW_year2[320989] = 0.5
DWW_year2[320990] = 3.0
DWW_year2[320991] = 3.0
DWW_year2[320997] = 4.5
DWW_year2[320998] = 13.5
DWW_year2[320999] = 7.0
DWW_year2[321000] = 6.5
DWW_year2[321001] = 7.0
DWW_year2[321002] = 7.0
DWW_year2[321003] = 6.5
DWW_year2[321004] = 7.0
DWW_year2[321005] = 7.0
DWW_year2[321006] = 7.0
DWW_year2[321007] = 6.5
DWW_year2[321008] = 7.0
DWW_year2[321009] = 7.0
DWW_year2[321010] = 5.0
DWW_year2[321022] = 3.0
DWW_year2[321023] = 7.0
DWW_year2[321024] = 7.0
DWW_year2[321025] = 7.0
DWW_year2[321026] = 6.5
DWW_year2[321027] = 7.0
DWW_year2[321028] = 6.5
DWW_year2[321029] = 7.0
DWW_year2[321030] = 6.5
DWW_year2[321031] = 7.0
DWW_year2[321032] = 6.5
DWW_year2[321033] = 6.5
DWW_year2[321036] = 3.5
DWW_year2[321037] = 0.5
DWW_year2[321039] = 0.5
DWW_year2[321040] = 1.0
# Sample 105
DWW_year2[326366] = 0.5
DWW_year2[326369] = 2.5
DWW_year2[326370] = 0.5
DWW_year2[326377] = 2.0
DWW_year2[326378] = 1.0
DWW_year2[326385] = 2.0
DWW_year2[326386] = 2.5
DWW_year2[326387] = 2.5
DWW_year2[326390] = 1.5
DWW_year2[326391] = 1.0
DWW_year2[326392] = 2.5
DWW_year2[326393] = 2.5
DWW_year2[326394] = 0.5
DWW_year2[326397] = 0.5
DWW_year2[326401] = 2.0
DWW_year2[326402] = 6.0
DWW_year2[326403] = 6.0
DWW_year2[326405] = 2.5
DWW_year2[326406] = 3.5
DWW_year2[326407] = 0.5
DWW_year2[326409] = 2.5
DWW_year2[326410] = 0.5
DWW_year2[326424] = 0.5
DWW_year2[326425] = 1.0
DWW_year2[326426] = 4.5
DWW_year2[326427] = 0.5
DWW_year2[326428] = 1.5
DWW_year2[326430] = 0.5
DWW_year2[326431] = 1.0
DWW_year2[326441] = 2.0
DWW_year2[326442] = 1.0
DWW_year2[326443] = 0.5
DWW_year2[326449] = 2.0
DWW_year2[326450] = 0.5
DWW_year2[326453] = 0.5
DWW_year2[326512] = 1.0
DWW_year2[326513] = 1.5
# Sample 106
DWW_year2[326518] = 6.0
DWW_year2[326519] = 21.0
DWW_year2[326520] = 12.0
DWW_year2[326521] = 11.0
DWW_year2[326522] = 2.0
DWW_year2[326523] = 0.5
DWW_year2[326524] = 1.5
DWW_year2[326525] = 1.5
DWW_year2[326526] = 2.5
DWW_year2[326527] = 0.5
DWW_year2[326528] = 2.0
DWW_year2[326529] = 1.5
DWW_year2[326530] = 5.0
DWW_year2[326531] = 0.5
DWW_year2[326534] = 2.5
DWW_year2[326535] = 1.5
DWW_year2[326538] = 4.0
DWW_year2[326539] = 1.0
DWW_year2[326541] = 2.5
DWW_year2[326542] = 2.0
DWW_year2[326543] = 0.5
DWW_year2[326544] = 10.0
DWW_year2[326545] = 1.0
DWW_year2[326546] = 0.5
DWW_year2[326550] = 0.5
DWW_year2[326552] = 1.5
DWW_year2[326554] = 0.5
DWW_year2[326556] = 1.5
DWW_year2[326557] = 3.0
DWW_year2[326558] = 1.0
DWW_year2[326559] = 1.5
DWW_year2[326561] = 1.0
# Sample 107
DWW_year2[331905] = 1.0
DWW_year2[331906] = 2.0
DWW_year2[331907] = 3.0
DWW_year2[331908] = 1.0
DWW_year2[331909] = 3.0
DWW_year2[331910] = 3.0
DWW_year2[331911] = 3.5
DWW_year2[331914] = 3.5
DWW_year2[331915] = 8.0
DWW_year2[331916] = 7.0
DWW_year2[331917] = 6.5
DWW_year2[331918] = 1.0
DWW_year2[331920] = 5.0
DWW_year2[331921] = 6.0
DWW_year2[331922] = 6.5
DWW_year2[331923] = 2.0
DWW_year2[331924] = 2.0
DWW_year2[331925] = 7.0
DWW_year2[331926] = 6.5
DWW_year2[331927] = 6.5
DWW_year2[331928] = 3.5
DWW_year2[331929] = 2.5
DWW_year2[331930] = 7.0
DWW_year2[331931] = 7.0
DWW_year2[331932] = 1.0
DWW_year2[331937] = 1.0
DWW_year2[331938] = 1.0
DWW_year2[331939] = 2.0
DWW_year2[331941] = 2.5
DWW_year2[331942] = 5.5
DWW_year2[331943] = 7.0
DWW_year2[331944] = 3.0
DWW_year2[331945] = 1.0
DWW_year2[331946] = 1.5
DWW_year2[331947] = 2.5
DWW_year2[331955] = 0.5
DWW_year2[331956] = 0.5
DWW_year2[331957] = 2.0
DWW_year2[331961] = 6.5
DWW_year2[331962] = 1.0
DWW_year2[331965] = 1.0
DWW_year2[331968] = 2.5
DWW_year2[331969] = 0.5
DWW_year2[331974] = 0.5
DWW_year2[331976] = 2.0
DWW_year2[331977] = 0.5
DWW_year2[331982] = 1.0
DWW_year2[331983] = 3.5
DWW_year2[331984] = 1.5
DWW_year2[331985] = 7.5
DWW_year2[331986] = 5.5
DWW_year2[331987] = 1.5
DWW_year2[331988] = 1.0
DWW_year2[331989] = 3.5
DWW_year2[332004] = 3.0
DWW_year2[332005] = 4.5
DWW_year2[332012] = 1.0
DWW_year2[332013] = 0.5
DWW_year2[332017] = 3.5
DWW_year2[332023] = 1.5
DWW_year2[332024] = 1.5
# Sample 108
DWW_year2[338027] = 10.5
DWW_year2[338029] = 0.5
DWW_year2[338030] = 4.5
DWW_year2[338031] = 1.0
DWW_year2[338033] = 8.0
DWW_year2[338034] = 2.5
DWW_year2[338037] = 2.5
DWW_year2[338038] = 2.0
DWW_year2[338041] = 1.0
DWW_year2[338042] = 1.0
DWW_year2[338044] = 1.0
DWW_year2[338045] = 2.5
DWW_year2[338046] = 4.5
DWW_year2[338047] = 6.5
DWW_year2[338048] = 0.5
DWW_year2[338053] = 0.5
DWW_year2[338054] = 2.5
DWW_year2[338057] = 0.5
DWW_year2[338061] = 0.5
DWW_year2[338062] = 2.5
DWW_year2[338069] = 0.5
DWW_year2[338070] = 2.5
DWW_year2[338081] = 7.0
DWW_year2[338082] = 3.0
DWW_year2[338083] = 6.0
DWW_year2[338084] = 6.0
DWW_year2[338085] = 1.0
DWW_year2[338089] = 0.5
DWW_year2[338090] = 1.0
DWW_year2[338091] = 0.5
DWW_year2[338092] = 0.5
DWW_year2[338094] = 0.5
DWW_year2[338095] = 0.5
DWW_year2[338097] = 3.0
DWW_year2[338098] = 1.0
DWW_year2[338099] = 8.5
DWW_year2[338100] = 2.0
DWW_year2[338105] = 0.5
DWW_year2[338106] = 1.0
DWW_year2[338107] = 2.5
DWW_year2[338109] = 1.5
DWW_year2[338110] = 1.0
DWW_year2[338111] = 1.0
DWW_year2[338112] = 1.0
DWW_year2[338114] = 1.5
DWW_year2[338115] = 1.5
DWW_year2[338117] = 3.5
DWW_year2[338118] = 4.5
DWW_year2[338120] = 1.0
DWW_year2[338121] = 0.5
DWW_year2[338122] = 0.5
DWW_year2[338138] = 3.5
DWW_year2[338139] = 3.0
DWW_year2[338152] = 5.5
DWW_year2[338153] = 2.0
DWW_year2[338160] = 6.0
DWW_year2[338161] = 1.0
# Sample 109
DWW_year2[338222] = 1.0
DWW_year2[338223] = 1.5
DWW_year2[338224] = 1.5
DWW_year2[338226] = 3.0
DWW_year2[338227] = 4.0
DWW_year2[338228] = 0.5
DWW_year2[338229] = 1.0
DWW_year2[338231] = 0.5
DWW_year2[338233] = 0.5
DWW_year2[338236] = 3.5
DWW_year2[338237] = 4.0
DWW_year2[338241] = 1.0
DWW_year2[338242] = 2.0
DWW_year2[338243] = 3.5
DWW_year2[338280] = 3.0
DWW_year2[338281] = 3.5
# Sample 110
DWW_year2[341060] = 1.0
DWW_year2[341061] = 2.0
DWW_year2[341068] = 0.5
DWW_year2[341069] = 2.5
DWW_year2[341075] = 0.5
DWW_year2[341076] = 0.5
DWW_year2[341077] = 2.5
DWW_year2[341084] = 1.0
DWW_year2[341085] = 2.0
DWW_year2[341092] = 0.5
DWW_year2[341093] = 2.0
DWW_year2[341100] = 1.0
DWW_year2[341101] = 2.0
DWW_year2[341110] = 0.5
DWW_year2[341115] = 2.0
DWW_year2[341116] = 4.0
DWW_year2[341119] = 4.5
DWW_year2[341120] = 12.5
DWW_year2[341121] = 7.0
DWW_year2[341122] = 7.0
DWW_year2[341123] = 6.5
DWW_year2[341124] = 7.0
DWW_year2[341125] = 7.0
DWW_year2[341126] = 12.0
DWW_year2[341127] = 7.0
DWW_year2[341128] = 7.0
DWW_year2[341129] = 6.5
DWW_year2[341130] = 7.0
DWW_year2[341131] = 6.5
DWW_year2[341132] = 1.5
DWW_year2[341140] = 6.0
DWW_year2[341141] = 8.0
DWW_year2[341142] = 7.0
DWW_year2[341143] = 7.5
DWW_year2[341144] = 8.5
DWW_year2[341145] = 7.0
DWW_year2[341146] = 6.5
DWW_year2[341147] = 6.0
DWW_year2[341151] = 1.0
DWW_year2[341152] = 2.0
DWW_year2[341171] = 12.5
DWW_year2[341172] = 9.5
DWW_year2[341173] = 8.0
DWW_year2[341174] = 8.0
DWW_year2[341175] = 3.0
DWW_year2[341176] = 1.0
DWW_year2[341178] = 2.0
DWW_year2[341181] = 0.5
DWW_year2[341184] = 0.5
DWW_year2[341187] = 2.5
DWW_year2[341188] = 4.5
DWW_year2[341189] = 1.0
DWW_year2[341191] = 2.5
DWW_year2[341192] = 5.0
DWW_year2[341194] = 2.5
DWW_year2[341195] = 0.5
DWW_year2[341196] = 0.5
DWW_year2[341197] = 0.5
DWW_year2[341198] = 0.5
DWW_year2[341200] = 0.5
DWW_year2[341201] = 0.5
DWW_year2[341202] = 7.0
DWW_year2[341203] = 6.5
DWW_year2[341204] = 7.0
DWW_year2[341205] = 6.5
DWW_year2[341206] = 7.0
DWW_year2[341207] = 7.0
DWW_year2[341208] = 6.5
DWW_year2[341209] = 7.0
DWW_year2[341210] = 4.0
DWW_year2[341212] = 5.0
DWW_year2[341213] = 2.5
# Sample 111
DWW_year2[341303] = 4.0
DWW_year2[341304] = 6.5
DWW_year2[341305] = 12.5
DWW_year2[341306] = 2.5
DWW_year2[341307] = 1.5
DWW_year2[341359] = 2.0
DWW_year2[341360] = 5.5
# Sample 112
DWW_year2[346428] = 1.0
DWW_year2[346429] = 1.0
DWW_year2[346430] = 2.5
DWW_year2[346437] = 0.5
DWW_year2[346438] = 2.0
DWW_year2[346445] = 1.0
DWW_year2[346446] = 2.0
DWW_year2[346453] = 0.5
DWW_year2[346454] = 2.5
DWW_year2[346461] = 0.5
DWW_year2[346462] = 2.0
DWW_year2[346469] = 1.0
DWW_year2[346470] = 2.0
DWW_year2[346505] = 3.0
DWW_year2[346509] = 0.5
DWW_year2[346510] = 2.0
DWW_year2[346511] = 0.5
DWW_year2[346517] = 0.5
DWW_year2[346518] = 2.0
DWW_year2[346519] = 0.5
DWW_year2[346527] = 3.5
DWW_year2[346528] = 3.5
DWW_year2[346545] = 0.5
DWW_year2[346583] = 0.5
DWW_year2[346588] = 3.0
DWW_year2[346589] = 1.0
DWW_year2[346591] = 1.0
# Sample 113
DWW_year2[346605] = 2.0
DWW_year2[346606] = 0.5
DWW_year2[346609] = 0.5
DWW_year2[346611] = 1.0
DWW_year2[346612] = 1.0
DWW_year2[346651] = 1.5
DWW_year2[346652] = 5.5
DWW_year2[346664] = 0.5
# Sample 114
DWW_year2[350772] = 5.5
DWW_year2[350773] = 1.5
DWW_year2[350774] = 2.0
DWW_year2[350775] = 8.0
DWW_year2[350776] = 0.5
DWW_year2[350778] = 1.5
DWW_year2[350779] = 6.0
DWW_year2[350780] = 0.5
DWW_year2[350781] = 2.0
DWW_year2[350782] = 1.5
DWW_year2[350783] = 1.5
DWW_year2[350790] = 2.5
DWW_year2[350791] = 1.0
DWW_year2[350798] = 2.0
DWW_year2[350799] = 1.5
DWW_year2[350800] = 0.5
DWW_year2[350802] = 1.0
DWW_year2[350806] = 1.5
DWW_year2[350807] = 1.5
DWW_year2[350814] = 1.5
DWW_year2[350815] = 1.5
DWW_year2[350818] = 1.0
DWW_year2[350819] = 0.5
DWW_year2[350821] = 3.5
DWW_year2[350823] = 1.0
DWW_year2[350824] = 0.5
DWW_year2[350825] = 0.5
DWW_year2[350826] = 1.0
DWW_year2[350835] = 2.0
DWW_year2[350847] = 0.5
DWW_year2[350850] = 0.5
DWW_year2[350851] = 2.0
DWW_year2[350858] = 0.5
DWW_year2[350859] = 2.5
DWW_year2[350884] = 6.5
DWW_year2[350885] = 0.5
DWW_year2[350894] = 0.5
DWW_year2[350895] = 3.0
DWW_year2[350896] = 0.5
DWW_year2[350898] = 1.5
# Sample 115
DWW_year2[350912] = 1.0
DWW_year2[350913] = 1.5
DWW_year2[350946] = 5.0
DWW_year2[350947] = 1.5
# Sample 116
DWW_year2[355444] = 2.0
DWW_year2[355446] = 1.0
DWW_year2[355447] = 2.0
DWW_year2[355453] = 1.5
DWW_year2[355454] = 1.0
DWW_year2[355455] = 1.5
DWW_year2[355462] = 1.5
DWW_year2[355463] = 1.5
DWW_year2[355464] = 6.0
DWW_year2[355465] = 2.5
DWW_year2[355466] = 0.5
DWW_year2[355470] = 1.5
DWW_year2[355471] = 1.5
DWW_year2[355474] = 0.5
DWW_year2[355476] = 4.0
DWW_year2[355478] = 1.5
DWW_year2[355479] = 2.0
DWW_year2[355486] = 1.5
DWW_year2[355487] = 1.5
DWW_year2[355500] = 3.0
DWW_year2[355501] = 3.0
DWW_year2[355510] = 4.5
DWW_year2[355511] = 16.0
DWW_year2[355512] = 18.5
DWW_year2[355513] = 11.5
DWW_year2[355516] = 1.0
DWW_year2[355517] = 7.5
DWW_year2[355518] = 15.0
DWW_year2[355519] = 14.5
DWW_year2[355520] = 6.5
DWW_year2[355523] = 0.5
DWW_year2[355524] = 1.0
DWW_year2[355525] = 2.0
DWW_year2[355529] = 2.0
DWW_year2[355530] = 0.5
DWW_year2[355531] = 0.5
DWW_year2[355532] = 1.5
DWW_year2[355533] = 1.5
DWW_year2[355540] = 11.5
DWW_year2[355542] = 5.0
DWW_year2[355543] = 6.0
DWW_year2[355545] = 4.5
DWW_year2[355548] = 5.0
DWW_year2[355552] = 4.0
DWW_year2[355559] = 1.0
DWW_year2[355561] = 2.0
DWW_year2[355565] = 1.0
DWW_year2[355566] = 9.0
DWW_year2[355567] = 7.0
DWW_year2[355568] = 17.5
DWW_year2[355569] = 12.0
DWW_year2[355570] = 7.0
DWW_year2[355571] = 6.5
DWW_year2[355572] = 7.0
DWW_year2[355573] = 6.5
DWW_year2[355574] = 7.0
DWW_year2[355575] = 7.5
DWW_year2[355576] = 13.5
DWW_year2[355577] = 12.5
DWW_year2[355578] = 6.0
DWW_year2[355580] = 3.5
DWW_year2[355585] = 5.0
DWW_year2[355586] = 5.0
DWW_year2[355587] = 6.0
DWW_year2[355588] = 4.5
# Sample 117
DWW_year2[360875] = 1.5
DWW_year2[360877] = 0.5
DWW_year2[360878] = 2.0
DWW_year2[360885] = 1.0
DWW_year2[360886] = 2.0
DWW_year2[360893] = 0.5
DWW_year2[360894] = 2.5
DWW_year2[360901] = 0.5
DWW_year2[360902] = 2.0
DWW_year2[360909] = 1.0
DWW_year2[360910] = 2.0
DWW_year2[360917] = 0.5
DWW_year2[360918] = 5.5
DWW_year2[360919] = 4.0
DWW_year2[360920] = 0.5
DWW_year2[360925] = 6.0
DWW_year2[360926] = 2.0
DWW_year2[360928] = 5.5
DWW_year2[360929] = 2.0
DWW_year2[360930] = 3.0
DWW_year2[360931] = 8.0
DWW_year2[360932] = 7.5
DWW_year2[360933] = 1.0
DWW_year2[360934] = 2.0
DWW_year2[360935] = 2.0
DWW_year2[360957] = 2.0
DWW_year2[360958] = 1.0
DWW_year2[360965] = 2.0
DWW_year2[360966] = 1.0
DWW_year2[361009] = 3.0
DWW_year2[361010] = 2.0
DWW_year2[361011] = 1.0
# Sample 118
DWW_year2[366886] = 0.5
DWW_year2[366889] = 2.5
DWW_year2[366896] = 0.5
DWW_year2[366897] = 2.0
DWW_year2[366898] = 0.5
DWW_year2[366904] = 0.5
DWW_year2[366905] = 2.0
DWW_year2[366912] = 0.5
DWW_year2[366913] = 2.5
DWW_year2[366920] = 0.5
DWW_year2[366921] = 2.0
DWW_year2[366922] = 0.5
DWW_year2[366929] = 2.5
DWW_year2[366941] = 0.5
DWW_year2[366942] = 2.5
DWW_year2[366944] = 1.0
DWW_year2[366945] = 1.5
DWW_year2[366952] = 1.5
DWW_year2[366953] = 1.0
DWW_year2[366954] = 2.0
DWW_year2[366958] = 3.0
DWW_year2[366959] = 6.5
DWW_year2[366960] = 4.5
DWW_year2[366970] = 0.5
DWW_year2[366971] = 2.5
DWW_year2[366978] = 0.5
DWW_year2[366979] = 2.0
DWW_year2[366987] = 1.0
DWW_year2[366988] = 12.0
DWW_year2[366989] = 11.0
DWW_year2[366993] = 12.0
DWW_year2[366994] = 14.0
DWW_year2[366995] = 14.0
DWW_year2[366996] = 2.5
DWW_year2[366998] = 1.5
DWW_year2[366999] = 3.5
DWW_year2[367005] = 2.5
DWW_year2[367010] = 0.5
DWW_year2[367012] = 2.0
DWW_year2[367013] = 4.5
DWW_year2[367014] = 1.0
DWW_year2[367015] = 3.0
DWW_year2[367016] = 0.5
DWW_year2[367018] = 2.5
DWW_year2[367019] = 4.0
DWW_year2[367021] = 0.5
DWW_year2[367023] = 0.5
DWW_year2[367025] = 3.0
DWW_year2[367028] = 0.5
DWW_year2[367034] = 1.5
DWW_year2[367036] = 1.0
DWW_year2[367049] = 11.5
DWW_year2[367050] = 9.5
DWW_year2[367051] = 6.5
DWW_year2[367052] = 7.0
DWW_year2[367053] = 6.5
DWW_year2[367054] = 7.0
# Sample 119
DWW_year2[367122] = 2.0
DWW_year2[367123] = 1.5
DWW_year2[367154] = 1.0
DWW_year2[367155] = 1.0
DWW_year2[367157] = 9.0
DWW_year2[367158] = 1.0
# Sample 120
DWW_year2[372162] = 1.0
DWW_year2[372163] = 2.0
DWW_year2[372166] = 1.0
DWW_year2[372167] = 0.5
DWW_year2[372168] = 0.5
DWW_year2[372170] = 4.0
DWW_year2[372171] = 2.0
DWW_year2[372174] = 3.5
DWW_year2[372175] = 3.5
DWW_year2[372178] = 0.5
DWW_year2[372179] = 2.5
DWW_year2[372186] = 0.5
DWW_year2[372187] = 2.0
DWW_year2[372191] = 10.5
DWW_year2[372192] = 4.5
DWW_year2[372194] = 2.5
DWW_year2[372195] = 2.5
DWW_year2[372201] = 0.5
DWW_year2[372202] = 0.5
DWW_year2[372203] = 2.5
DWW_year2[372212] = 6.5
DWW_year2[372213] = 6.0
DWW_year2[372214] = 2.0
DWW_year2[372220] = 7.0
DWW_year2[372221] = 5.0
DWW_year2[372222] = 3.5
DWW_year2[372225] = 5.0
DWW_year2[372226] = 5.5
DWW_year2[372227] = 0.5
DWW_year2[372228] = 3.5
DWW_year2[372229] = 7.5
DWW_year2[372230] = 10.5
DWW_year2[372231] = 5.5
DWW_year2[372232] = 0.5
DWW_year2[372233] = 3.5
DWW_year2[372236] = 2.0
DWW_year2[372237] = 10.0
DWW_year2[372238] = 6.5
DWW_year2[372239] = 3.5
DWW_year2[372244] = 3.5
DWW_year2[372284] = 0.5
DWW_year2[372285] = 6.5
DWW_year2[372286] = 3.5
DWW_year2[372288] = 4.5
# Sample 121
DWW_year2[372399] = 1.5
DWW_year2[372400] = 6.5
DWW_year2[372401] = 8.5
DWW_year2[372402] = 2.0
DWW_year2[372434] = 0.5
DWW_year2[372435] = 0.5
# Sample 122
DWW_year2[375515] = 1.5
DWW_year2[375516] = 2.5
DWW_year2[375517] = 1.5
DWW_year2[375518] = 0.5
DWW_year2[375519] = 6.5
DWW_year2[375520] = 2.5
DWW_year2[375524] = 1.0
DWW_year2[375525] = 5.5
DWW_year2[375526] = 4.0
DWW_year2[375527] = 1.0
DWW_year2[375529] = 6.0
DWW_year2[375530] = 6.5
DWW_year2[375532] = 5.0
DWW_year2[375533] = 8.0
DWW_year2[375534] = 6.0
DWW_year2[375535] = 6.0
DWW_year2[375536] = 6.5
DWW_year2[375537] = 5.5
DWW_year2[375540] = 1.0
DWW_year2[375541] = 4.0
DWW_year2[375545] = 2.5
DWW_year2[375546] = 5.5
DWW_year2[375547] = 6.5
DWW_year2[375548] = 8.0
DWW_year2[375549] = 2.0
DWW_year2[375550] = 1.0
DWW_year2[375551] = 1.5
DWW_year2[375552] = 2.0
DWW_year2[375553] = 4.5
DWW_year2[375555] = 2.0
DWW_year2[375556] = 3.5
DWW_year2[375557] = 1.5
DWW_year2[375577] = 2.5
DWW_year2[375578] = 0.5
DWW_year2[375583] = 1.5
DWW_year2[375584] = 1.5
DWW_year2[375585] = 2.5
DWW_year2[375586] = 0.5
DWW_year2[375593] = 4.0
DWW_year2[375595] = 2.5
DWW_year2[375596] = 8.0
DWW_year2[375597] = 4.5
DWW_year2[375600] = 2.0
DWW_year2[375601] = 1.5
DWW_year2[375602] = 2.0
DWW_year2[375603] = 0.5
DWW_year2[375604] = 3.0
DWW_year2[375606] = 0.5
# Sample 123
DWW_year2[375668] = 2.0
DWW_year2[375669] = 1.0
DWW_year2[375691] = 0.5
DWW_year2[375693] = 1.0
DWW_year2[375694] = 1.0
DWW_year2[375697] = 8.0
DWW_year2[375698] = 6.5
DWW_year2[375699] = 7.0
DWW_year2[375700] = 6.5
DWW_year2[375701] = 6.5
DWW_year2[375702] = 7.0
DWW_year2[375703] = 6.5
DWW_year2[375704] = 6.5
DWW_year2[375705] = 6.5
DWW_year2[375706] = 6.5
DWW_year2[375707] = 7.0
DWW_year2[375708] = 6.5
DWW_year2[375709] = 6.0
DWW_year2[375713] = 0.5
DWW_year2[375714] = 1.5
DWW_year2[375715] = 15.5
DWW_year2[375716] = 7.5
DWW_year2[375717] = 8.0
DWW_year2[375718] = 6.5
DWW_year2[375719] = 6.5
DWW_year2[375720] = 7.0
DWW_year2[375721] = 6.5
DWW_year2[375722] = 6.5
DWW_year2[375723] = 7.0
DWW_year2[375724] = 6.5
DWW_year2[375725] = 6.5
DWW_year2[375726] = 6.5
DWW_year2[375727] = 7.0
# Sample 124
DWW_year2[379911] = 0.5
DWW_year2[379912] = 2.5
DWW_year2[379917] = 4.0
DWW_year2[379918] = 9.5
DWW_year2[379919] = 5.0
DWW_year2[379920] = 7.5
DWW_year2[379922] = 4.0
DWW_year2[379927] = 0.5
DWW_year2[379928] = 2.0
DWW_year2[379929] = 0.5
DWW_year2[379936] = 2.5
DWW_year2[379943] = 1.5
DWW_year2[379944] = 2.0
DWW_year2[379945] = 0.5
DWW_year2[379946] = 8.5
DWW_year2[379947] = 6.0
DWW_year2[379948] = 5.0
DWW_year2[379949] = 2.0
DWW_year2[379951] = 0.5
DWW_year2[379952] = 2.5
DWW_year2[379958] = 5.5
DWW_year2[379959] = 5.5
DWW_year2[379960] = 7.0
DWW_year2[379961] = 5.0
DWW_year2[379968] = 8.5
DWW_year2[379969] = 1.5
DWW_year2[379970] = 4.5
DWW_year2[379975] = 5.0
DWW_year2[379976] = 4.0
DWW_year2[379987] = 1.5
DWW_year2[379988] = 1.5
DWW_year2[379991] = 2.5
DWW_year2[379992] = 7.0
DWW_year2[379993] = 0.5
DWW_year2[379995] = 1.5
DWW_year2[379996] = 1.5
DWW_year2[379999] = 1.0
DWW_year2[380025] = 11.5
DWW_year2[380026] = 12.5
DWW_year2[380027] = 15.0
DWW_year2[380028] = 13.5
DWW_year2[380031] = 5.5
DWW_year2[380032] = 15.0
DWW_year2[380033] = 8.0
DWW_year2[380039] = 0.5
DWW_year2[380041] = 0.5
DWW_year2[380042] = 0.5
DWW_year2[380049] = 6.0
DWW_year2[380055] = 11.5
DWW_year2[380056] = 8.5
DWW_year2[380057] = 8.5
DWW_year2[380058] = 8.5
DWW_year2[380059] = 8.0
DWW_year2[380060] = 8.0
DWW_year2[380061] = 8.0
DWW_year2[380062] = 8.0
DWW_year2[380063] = 8.0
DWW_year2[380064] = 7.5
DWW_year2[380065] = 8.0
DWW_year2[380066] = 7.5
DWW_year2[380067] = 8.0
DWW_year2[380068] = 8.0
# Sample 125
DWW_year2[380121] = 1.0
DWW_year2[380122] = 3.0
DWW_year2[380124] = 2.0
# Sample 126
DWW_year2[386611] = 3.5
DWW_year2[386612] = 1.0
DWW_year2[386613] = 3.0
DWW_year2[386618] = 4.0
DWW_year2[386619] = 4.0
DWW_year2[386620] = 4.0
DWW_year2[386621] = 6.5
DWW_year2[386622] = 6.5
DWW_year2[386623] = 6.5
DWW_year2[386624] = 13.0
DWW_year2[386625] = 0.5
DWW_year2[386626] = 4.5
DWW_year2[386627] = 5.5
DWW_year2[386628] = 6.0
DWW_year2[386629] = 7.5
DWW_year2[386630] = 6.0
DWW_year2[386631] = 6.5
DWW_year2[386632] = 6.5
DWW_year2[386633] = 1.0
DWW_year2[386635] = 3.0
DWW_year2[386636] = 0.5
DWW_year2[386637] = 5.5
DWW_year2[386638] = 3.0
DWW_year2[386639] = 1.5
DWW_year2[386641] = 2.5
DWW_year2[386642] = 0.5
DWW_year2[386644] = 3.5
DWW_year2[386645] = 5.5
DWW_year2[386646] = 5.0
DWW_year2[386648] = 0.5
DWW_year2[386649] = 1.0
DWW_year2[386652] = 0.5
DWW_year2[386653] = 2.5
DWW_year2[386667] = 1.0
DWW_year2[386671] = 1.0
DWW_year2[386672] = 1.0
DWW_year2[386677] = 0.5
DWW_year2[386678] = 2.0
DWW_year2[386679] = 0.5
DWW_year2[386680] = 0.5
DWW_year2[386685] = 1.0
DWW_year2[386686] = 2.0
DWW_year2[386697] = 0.5
DWW_year2[386727] = 1.0
DWW_year2[386728] = 0.5
DWW_year2[386751] = 0.5
DWW_year2[386757] = 1.0
# Sample 127
DWW_year2[386891] = 0.5
DWW_year2[386892] = 1.0
DWW_year2[386893] = 2.5
DWW_year2[386898] = 0.5
DWW_year2[386900] = 3.0
DWW_year2[386901] = 3.5
DWW_year2[386903] = 0.5
DWW_year2[386905] = 0.5
DWW_year2[386907] = 0.5
DWW_year2[386908] = 1.5
DWW_year2[386909] = 0.5
DWW_year2[386911] = 1.5
DWW_year2[386912] = 0.5
DWW_year2[386913] = 0.5
DWW_year2[386916] = 1.0
# Sample 128
DWW_year2[391470] = 2.5
DWW_year2[391471] = 0.5
DWW_year2[391478] = 2.0
DWW_year2[391479] = 0.5
DWW_year2[391485] = 0.5
DWW_year2[391486] = 2.0
DWW_year2[391487] = 0.5
DWW_year2[391494] = 17.0
DWW_year2[391495] = 7.5
DWW_year2[391496] = 6.5
DWW_year2[391497] = 7.0
DWW_year2[391498] = 6.5
DWW_year2[391499] = 6.5
DWW_year2[391500] = 7.0
DWW_year2[391501] = 6.5
DWW_year2[391502] = 9.0
DWW_year2[391503] = 7.0
DWW_year2[391504] = 6.5
DWW_year2[391505] = 7.0
DWW_year2[391509] = 0.5
DWW_year2[391510] = 2.0
DWW_year2[391511] = 0.5
DWW_year2[391526] = 1.0
DWW_year2[391527] = 17.5
DWW_year2[391528] = 14.5
DWW_year2[391529] = 14.5
DWW_year2[391535] = 2.0
DWW_year2[391536] = 6.5
DWW_year2[391537] = 15.5
DWW_year2[391538] = 12.5
DWW_year2[391543] = 1.5
DWW_year2[391544] = 1.0
DWW_year2[391556] = 0.5
DWW_year2[391572] = 1.5
DWW_year2[391576] = 1.0
DWW_year2[391577] = 1.0
DWW_year2[391588] = 2.5
DWW_year2[391589] = 18.0
DWW_year2[391590] = 7.0
DWW_year2[391591] = 6.5
DWW_year2[391592] = 7.0
DWW_year2[391593] = 6.5
DWW_year2[391594] = 6.5
DWW_year2[391595] = 7.0
DWW_year2[391596] = 6.5
DWW_year2[391597] = 6.5
DWW_year2[391598] = 4.0
# Sample 129
DWW_year2[392353] = 2.5
DWW_year2[392357] = 1.5
DWW_year2[392358] = 1.0
DWW_year2[392375] = 1.0
DWW_year2[392376] = 0.5
DWW_year2[392377] = 0.5
DWW_year2[392381] = 0.5
DWW_year2[392384] = 2.5
DWW_year2[392385] = 5.0
DWW_year2[392386] = 0.5
DWW_year2[392387] = 4.0
DWW_year2[392388] = 3.5
DWW_year2[392394] = 2.0
DWW_year2[392403] = 1.0
DWW_year2[392405] = 0.5
DWW_year2[392410] = 3.0
DWW_year2[392413] = 4.0
DWW_year2[392415] = 1.5
DWW_year2[392416] = 3.5
DWW_year2[392420] = 2.0
DWW_year2[392421] = 6.0
DWW_year2[392423] = 5.5
DWW_year2[392424] = 8.0
DWW_year2[392425] = 2.0
DWW_year2[392432] = 2.0
DWW_year2[392436] = 3.5
DWW_year2[392437] = 0.5
# Sample 130
DWW_year2[395220] = 1.5
DWW_year2[395222] = 0.5
DWW_year2[395223] = 2.0
DWW_year2[395224] = 0.5
DWW_year2[395227] = 0.5
DWW_year2[395231] = 2.5
DWW_year2[395232] = 0.5
DWW_year2[395239] = 2.5
DWW_year2[395240] = 0.5
DWW_year2[395247] = 2.0
DWW_year2[395248] = 0.5
DWW_year2[395254] = 0.5
DWW_year2[395255] = 5.5
DWW_year2[395256] = 0.5
DWW_year2[395261] = 2.0
DWW_year2[395262] = 2.5
DWW_year2[395263] = 2.0
DWW_year2[395264] = 0.5
DWW_year2[395268] = 1.0
DWW_year2[395296] = 2.0
DWW_year2[395297] = 0.5
DWW_year2[395304] = 2.0
DWW_year2[395305] = 1.0
DWW_year2[395351] = 0.5
DWW_year2[395353] = 6.5
DWW_year2[395354] = 0.5
DWW_year2[395360] = 0.5
DWW_year2[395365] = 0.5
DWW_year2[395367] = 1.0
DWW_year2[395380] = 0.5
# Sample 131
DWW_year2[395401] = 1.0
DWW_year2[395402] = 1.0
DWW_year2[395403] = 1.0
DWW_year2[395404] = 4.5
DWW_year2[395405] = 5.0
DWW_year2[395408] = 0.5
DWW_year2[395410] = 3.5
DWW_year2[395411] = 2.5
DWW_year2[395419] = 1.0
DWW_year2[395425] = 1.0
DWW_year2[395426] = 6.5
DWW_year2[395429] = 6.5
DWW_year2[395430] = 10.0
DWW_year2[395431] = 4.5
DWW_year2[395432] = 4.5
DWW_year2[395436] = 0.5
DWW_year2[395451] = 8.0
DWW_year2[395452] = 2.5
# Sample 132
DWW_year2[399992] = 2.0
DWW_year2[399993] = 3.5
DWW_year2[399994] = 6.5
DWW_year2[399995] = 5.0
DWW_year2[399996] = 3.0
DWW_year2[399997] = 1.5
DWW_year2[399998] = 1.5
DWW_year2[399999] = 4.0
DWW_year2[400000] = 1.5
DWW_year2[400002] = 8.0
DWW_year2[400003] = 4.5
DWW_year2[400007] = 0.5
DWW_year2[400008] = 1.0
DWW_year2[400009] = 0.5
DWW_year2[400010] = 0.5
DWW_year2[400011] = 3.0
DWW_year2[400014] = 0.5
DWW_year2[400016] = 0.5
DWW_year2[400017] = 1.0
DWW_year2[400018] = 0.5
DWW_year2[400019] = 2.5
DWW_year2[400026] = 2.0
DWW_year2[400027] = 2.0
DWW_year2[400028] = 0.5
DWW_year2[400034] = 1.0
DWW_year2[400035] = 3.5
DWW_year2[400057] = 0.5
DWW_year2[400058] = 2.0
DWW_year2[400059] = 0.5
DWW_year2[400060] = 1.0
DWW_year2[400061] = 6.0
DWW_year2[400062] = 1.0
DWW_year2[400065] = 0.5
DWW_year2[400066] = 2.0
DWW_year2[400071] = 0.5
DWW_year2[400075] = 5.5
DWW_year2[400076] = 3.5
DWW_year2[400093] = 3.5
DWW_year2[400097] = 1.0
DWW_year2[400098] = 4.5
DWW_year2[400107] = 7.5
DWW_year2[400108] = 11.5
DWW_year2[400109] = 15.5
DWW_year2[400110] = 17.0
DWW_year2[400111] = 9.5
DWW_year2[400112] = 1.5
DWW_year2[400124] = 0.5
DWW_year2[400127] = 3.0
DWW_year2[400128] = 4.5
DWW_year2[400130] = 0.5
# Sample 133
DWW_year2[400180] = 13.5
DWW_year2[400181] = 14.0
DWW_year2[400182] = 13.5
DWW_year2[400183] = 15.5
DWW_year2[400184] = 14.0
DWW_year2[400185] = 11.0
DWW_year2[400186] = 4.5
DWW_year2[400189] = 6.0
DWW_year2[400190] = 3.0
DWW_year2[400194] = 0.5
DWW_year2[400195] = 0.5
DWW_year2[400196] = 4.0
DWW_year2[400197] = 14.5
DWW_year2[400198] = 7.0
DWW_year2[400199] = 7.0
DWW_year2[400200] = 7.5
DWW_year2[400201] = 6.5
DWW_year2[400202] = 6.5
DWW_year2[400203] = 6.5
DWW_year2[400204] = 6.5
DWW_year2[400205] = 7.0
DWW_year2[400206] = 9.0
DWW_year2[400207] = 12.0
DWW_year2[400208] = 6.5
DWW_year2[400209] = 6.5
DWW_year2[400210] = 6.5
DWW_year2[400211] = 5.5
DWW_year2[400212] = 3.0
DWW_year2[400213] = 1.0
DWW_year2[400242] = 0.5
# Sample 134
DWW_year2[404040] = 1.0
DWW_year2[404042] = 1.0
DWW_year2[404043] = 2.0
DWW_year2[404050] = 1.0
DWW_year2[404051] = 2.0
DWW_year2[404058] = 1.0
DWW_year2[404059] = 1.5
DWW_year2[404066] = 1.0
DWW_year2[404067] = 2.0
DWW_year2[404070] = 0.5
DWW_year2[404071] = 0.5
DWW_year2[404074] = 1.0
DWW_year2[404075] = 2.0
DWW_year2[404082] = 1.0
DWW_year2[404083] = 1.5
DWW_year2[404120] = 0.5
DWW_year2[404121] = 2.5
DWW_year2[404123] = 6.0
DWW_year2[404127] = 1.5
DWW_year2[404128] = 2.5
DWW_year2[404129] = 2.5
DWW_year2[404188] = 0.5
DWW_year2[404195] = 6.0
DWW_year2[404196] = 2.0
DWW_year2[404198] = 1.0
DWW_year2[404199] = 0.5
# Sample 135
DWW_year2[404239] = 2.5
DWW_year2[404240] = 3.0
DWW_year2[404241] = 5.5
DWW_year2[404242] = 3.0
DWW_year2[404243] = 1.5
DWW_year2[404246] = 2.0
DWW_year2[404247] = 0.5
DWW_year2[404248] = 0.5
DWW_year2[404249] = 9.5
DWW_year2[404250] = 8.5
DWW_year2[404251] = 5.0
DWW_year2[404252] = 1.5
DWW_year2[404253] = 1.5
DWW_year2[404254] = 2.0
DWW_year2[404256] = 0.5
DWW_year2[404258] = 3.0
DWW_year2[404259] = 12.5
DWW_year2[404260] = 11.5
DWW_year2[404261] = 2.5
DWW_year2[404262] = 4.0
DWW_year2[404267] = 2.0
DWW_year2[404268] = 9.0
DWW_year2[404269] = 7.0
DWW_year2[404270] = 4.0
DWW_year2[404279] = 7.5
DWW_year2[404280] = 6.0
DWW_year2[404281] = 5.0
DWW_year2[404286] = 4.0
DWW_year2[404287] = 2.5
DWW_year2[404305] = 1.0
# Sample 136
DWW_year2[410273] = 1.5
DWW_year2[410275] = 1.0
DWW_year2[410276] = 2.5
DWW_year2[410279] = 0.5
DWW_year2[410281] = 6.5
DWW_year2[410282] = 14.5
DWW_year2[410283] = 8.0
DWW_year2[410284] = 8.5
DWW_year2[410285] = 7.0
DWW_year2[410286] = 6.5
DWW_year2[410287] = 7.0
DWW_year2[410288] = 12.5
DWW_year2[410289] = 8.5
DWW_year2[410290] = 7.0
DWW_year2[410291] = 7.5
DWW_year2[410292] = 4.5
DWW_year2[410299] = 1.0
DWW_year2[410300] = 14.5
DWW_year2[410301] = 9.0
DWW_year2[410302] = 6.5
DWW_year2[410303] = 7.0
DWW_year2[410304] = 6.5
DWW_year2[410305] = 6.5
DWW_year2[410306] = 6.5
DWW_year2[410307] = 8.0
DWW_year2[410308] = 8.5
DWW_year2[410309] = 6.5
DWW_year2[410310] = 6.5
DWW_year2[410311] = 7.0
DWW_year2[410312] = 6.5
DWW_year2[410313] = 4.5
DWW_year2[410315] = 1.0
DWW_year2[410316] = 2.0
DWW_year2[410322] = 2.0
DWW_year2[410328] = 7.0
DWW_year2[410329] = 9.5
DWW_year2[410330] = 7.0
DWW_year2[410331] = 6.5
DWW_year2[410332] = 7.0
DWW_year2[410333] = 6.5
DWW_year2[410334] = 7.0
DWW_year2[410335] = 9.0
DWW_year2[410336] = 7.0
DWW_year2[410337] = 6.5
DWW_year2[410338] = 7.0
DWW_year2[410339] = 6.5
DWW_year2[410340] = 1.5
DWW_year2[410342] = 2.0
DWW_year2[410343] = 9.5
DWW_year2[410344] = 2.5
DWW_year2[410345] = 0.5
DWW_year2[410349] = 0.5
DWW_year2[410350] = 0.5
DWW_year2[410352] = 7.0
DWW_year2[410353] = 8.0
DWW_year2[410354] = 1.5
DWW_year2[410387] = 0.5
DWW_year2[410389] = 1.0
DWW_year2[410400] = 0.5
# Sample 137
DWW_year2[411067] = 0.5
DWW_year2[411068] = 9.0
DWW_year2[411069] = 9.0
DWW_year2[411070] = 2.0
DWW_year2[411071] = 4.0
DWW_year2[411077] = 1.0
DWW_year2[411078] = 4.5
DWW_year2[411079] = 9.0
DWW_year2[411080] = 2.5
DWW_year2[411086] = 1.0
DWW_year2[411091] = 1.0
DWW_year2[411098] = 2.0
DWW_year2[411100] = 4.0
DWW_year2[411101] = 1.0
DWW_year2[411103] = 3.5
DWW_year2[411104] = 0.5
DWW_year2[411105] = 0.5
DWW_year2[411106] = 5.5
DWW_year2[411107] = 2.5
DWW_year2[411108] = 0.5
DWW_year2[411110] = 0.5
DWW_year2[411111] = 0.5
DWW_year2[411112] = 2.0
DWW_year2[411113] = 0.5
DWW_year2[411115] = 5.0
DWW_year2[411116] = 4.0
DWW_year2[411121] = 0.5
# Sample 138
DWW_year2[414471] = 1.0
DWW_year2[414473] = 1.0
DWW_year2[414474] = 2.0
DWW_year2[414476] = 1.0
DWW_year2[414481] = 0.5
DWW_year2[414482] = 2.0
DWW_year2[414483] = 3.0
DWW_year2[414484] = 5.5
DWW_year2[414487] = 0.5
DWW_year2[414489] = 1.0
DWW_year2[414490] = 2.0
DWW_year2[414496] = 0.5
DWW_year2[414497] = 1.0
DWW_year2[414498] = 2.0
DWW_year2[414505] = 1.0
DWW_year2[414506] = 2.0
DWW_year2[414509] = 13.5
DWW_year2[414510] = 16.5
DWW_year2[414511] = 16.0
DWW_year2[414512] = 12.5
DWW_year2[414513] = 5.0
DWW_year2[414514] = 2.5
DWW_year2[414516] = 1.0
DWW_year2[414517] = 0.5
DWW_year2[414523] = 6.0
DWW_year2[414524] = 10.5
DWW_year2[414525] = 6.5
DWW_year2[414526] = 6.5
DWW_year2[414527] = 6.5
DWW_year2[414528] = 6.5
DWW_year2[414529] = 6.5
DWW_year2[414530] = 6.5
DWW_year2[414531] = 6.0
DWW_year2[414532] = 6.5
DWW_year2[414533] = 6.5
DWW_year2[414534] = 6.5
DWW_year2[414535] = 7.5
DWW_year2[414536] = 7.0
DWW_year2[414537] = 1.0
DWW_year2[414539] = 3.0
DWW_year2[414540] = 0.5
DWW_year2[414544] = 1.5
DWW_year2[414545] = 1.0
DWW_year2[414546] = 9.5
DWW_year2[414547] = 12.0
DWW_year2[414548] = 8.0
DWW_year2[414549] = 7.0
DWW_year2[414550] = 6.5
DWW_year2[414551] = 7.5
DWW_year2[414552] = 10.5
DWW_year2[414553] = 7.0
DWW_year2[414554] = 7.5
DWW_year2[414555] = 9.5
DWW_year2[414556] = 6.5
DWW_year2[414557] = 7.0
DWW_year2[414558] = 7.0
DWW_year2[414559] = 7.0
DWW_year2[414560] = 6.5
DWW_year2[414561] = 2.5
DWW_year2[414563] = 3.0
DWW_year2[414564] = 4.5
DWW_year2[414568] = 0.5
DWW_year2[414571] = 1.0
# Sample 139
DWW_year2[419956] = 2.0
DWW_year2[419957] = 3.0
DWW_year2[419958] = 1.5
DWW_year2[419965] = 1.5
DWW_year2[419966] = 1.5
DWW_year2[419971] = 5.0
DWW_year2[419972] = 5.5
DWW_year2[419973] = 1.5
DWW_year2[419974] = 1.5
DWW_year2[419975] = 5.5
DWW_year2[419976] = 5.5
DWW_year2[419981] = 1.5
DWW_year2[419982] = 1.5
DWW_year2[419989] = 1.0
DWW_year2[419990] = 2.0
DWW_year2[419997] = 1.0
DWW_year2[419998] = 1.5
DWW_year2[420023] = 0.5
DWW_year2[420024] = 0.5
DWW_year2[420033] = 1.5
DWW_year2[420034] = 1.5
DWW_year2[420037] = 0.5
DWW_year2[420038] = 0.5
DWW_year2[420041] = 1.5
DWW_year2[420042] = 1.0
DWW_year2[420043] = 1.0
DWW_year2[420054] = 3.5
DWW_year2[420055] = 5.5
DWW_year2[420056] = 3.0
# Sample 140
DWW_year2[420088] = 2.0
DWW_year2[420089] = 2.5
DWW_year2[420090] = 2.5
DWW_year2[420091] = 2.0
DWW_year2[420092] = 0.5
DWW_year2[420094] = 2.0
DWW_year2[420095] = 3.5
DWW_year2[420097] = 4.0
DWW_year2[420098] = 6.5
DWW_year2[420099] = 6.5
DWW_year2[420100] = 6.5
DWW_year2[420101] = 6.5
DWW_year2[420102] = 6.5
DWW_year2[420103] = 3.5
DWW_year2[420108] = 1.5
DWW_year2[420109] = 4.5
DWW_year2[420110] = 2.0
DWW_year2[420111] = 3.0
DWW_year2[420116] = 4.0
DWW_year2[420117] = 6.0
DWW_year2[420118] = 6.5
DWW_year2[420119] = 6.0
DWW_year2[420120] = 6.0
DWW_year2[420121] = 6.5
DWW_year2[420122] = 6.0
DWW_year2[420123] = 6.5
DWW_year2[420124] = 7.0
DWW_year2[420125] = 6.5
DWW_year2[420126] = 1.5
DWW_year2[420128] = 3.0
DWW_year2[420130] = 4.5
DWW_year2[420131] = 6.0
DWW_year2[420132] = 2.0
# Sample 141
DWW_year2[424503] = 1.5
DWW_year2[424504] = 0.5
DWW_year2[424505] = 1.0
DWW_year2[424506] = 6.0
DWW_year2[424507] = 13.5
DWW_year2[424508] = 14.0
DWW_year2[424509] = 15.0
DWW_year2[424510] = 12.5
DWW_year2[424511] = 1.5
DWW_year2[424512] = 5.0
DWW_year2[424513] = 0.5
DWW_year2[424514] = 2.5
DWW_year2[424515] = 0.5
DWW_year2[424518] = 3.0
DWW_year2[424521] = 3.0
DWW_year2[424522] = 2.5
DWW_year2[424523] = 0.5
DWW_year2[424525] = 9.5
DWW_year2[424526] = 15.5
DWW_year2[424527] = 7.0
DWW_year2[424528] = 7.0
DWW_year2[424529] = 7.0
DWW_year2[424530] = 10.0
DWW_year2[424531] = 7.5
DWW_year2[424532] = 7.0
DWW_year2[424533] = 7.0
DWW_year2[424534] = 9.0
DWW_year2[424535] = 9.5
DWW_year2[424536] = 7.0
DWW_year2[424537] = 7.0
DWW_year2[424538] = 9.0
DWW_year2[424539] = 3.0
DWW_year2[424546] = 2.5
DWW_year2[424547] = 0.5
DWW_year2[424565] = 2.5
DWW_year2[424572] = 0.5
DWW_year2[424573] = 2.0
DWW_year2[424574] = 0.5
DWW_year2[424577] = 0.5
DWW_year2[424593] = 1.0
DWW_year2[424596] = 1.0
DWW_year2[424597] = 0.5
DWW_year2[424604] = 3.0
DWW_year2[424605] = 0.5
DWW_year2[424621] = 0.5
DWW_year2[424622] = 0.5
DWW_year2[424623] = 0.5
DWW_year2[424625] = 0.5
DWW_year2[424626] = 6.5
# Sample 142
DWW_year2[424765] = 1.0
DWW_year2[424767] = 1.0
DWW_year2[424768] = 2.0
# Sample 143
DWW_year2[428660] = 0.5
DWW_year2[428662] = 0.5
DWW_year2[428663] = 2.5
DWW_year2[428670] = 0.5
DWW_year2[428671] = 2.0
DWW_year2[428678] = 1.0
DWW_year2[428679] = 2.0
DWW_year2[428686] = 1.0
DWW_year2[428687] = 2.0
DWW_year2[428694] = 0.5
DWW_year2[428695] = 2.5
DWW_year2[428702] = 0.5
DWW_year2[428703] = 2.5
DWW_year2[428744] = 1.5
DWW_year2[428745] = 1.0
DWW_year2[428752] = 2.0
DWW_year2[428753] = 1.0
DWW_year2[428756] = 1.0
DWW_year2[428757] = 3.0
DWW_year2[428758] = 4.5
DWW_year2[428759] = 1.5
DWW_year2[428761] = 1.0
DWW_year2[428762] = 0.5
DWW_year2[428764] = 0.5
DWW_year2[428765] = 1.0
DWW_year2[428766] = 0.5
DWW_year2[428767] = 0.5
DWW_year2[428777] = 1.0
DWW_year2[428787] = 0.5
DWW_year2[428788] = 1.5
DWW_year2[428791] = 2.0
DWW_year2[428792] = 2.0
DWW_year2[428813] = 0.5
DWW_year2[428814] = 1.0
DWW_year2[428815] = 0.5
DWW_year2[428816] = 2.0
DWW_year2[428817] = 5.0
DWW_year2[428818] = 5.0
DWW_year2[428819] = 5.0
DWW_year2[428820] = 5.5
DWW_year2[428821] = 5.0
# Sample 144
DWW_year2[428832] = 2.5
DWW_year2[428833] = 11.0
DWW_year2[428834] = 14.0
DWW_year2[428835] = 4.5
DWW_year2[428836] = 6.5
DWW_year2[428837] = 6.5
DWW_year2[428838] = 4.0
DWW_year2[428841] = 3.0
DWW_year2[428842] = 1.0
DWW_year2[428843] = 5.0
DWW_year2[428844] = 4.0
DWW_year2[428845] = 4.0
DWW_year2[428846] = 3.0
DWW_year2[428847] = 0.5
DWW_year2[428855] = 1.0
DWW_year2[428858] = 2.0
DWW_year2[428859] = 2.0
DWW_year2[428860] = 0.5
DWW_year2[428863] = 1.5
DWW_year2[428864] = 0.5
DWW_year2[428870] = 1.0
# Sample 145
DWW_year2[434569] = 3.0
DWW_year2[434570] = 0.5
DWW_year2[434572] = 2.5
DWW_year2[434573] = 0.5
DWW_year2[434580] = 2.5
DWW_year2[434587] = 0.5
DWW_year2[434588] = 2.0
DWW_year2[434589] = 0.5
DWW_year2[434591] = 0.5
DWW_year2[434592] = 0.5
DWW_year2[434593] = 1.5
DWW_year2[434595] = 0.5
DWW_year2[434596] = 2.0
DWW_year2[434597] = 0.5
DWW_year2[434598] = 4.0
DWW_year2[434603] = 1.0
DWW_year2[434604] = 5.0
DWW_year2[434605] = 2.0
DWW_year2[434606] = 5.5
DWW_year2[434607] = 2.0
DWW_year2[434608] = 0.5
DWW_year2[434611] = 0.5
DWW_year2[434612] = 2.5
DWW_year2[434628] = 0.5
DWW_year2[434631] = 2.5
DWW_year2[434632] = 1.5
DWW_year2[434637] = 2.5
DWW_year2[434638] = 6.0
DWW_year2[434639] = 0.5
DWW_year2[434641] = 7.0
DWW_year2[434642] = 0.5
DWW_year2[434650] = 0.5
DWW_year2[434651] = 2.5
DWW_year2[434658] = 0.5
DWW_year2[434659] = 2.0
DWW_year2[434660] = 0.5
DWW_year2[434668] = 4.0
DWW_year2[434669] = 1.0
DWW_year2[434684] = 0.5
DWW_year2[434686] = 0.5
DWW_year2[434694] = 0.5
DWW_year2[434696] = 7.5
DWW_year2[434697] = 14.0
DWW_year2[434698] = 10.0
DWW_year2[434699] = 5.0
DWW_year2[434708] = 5.5
DWW_year2[434709] = 15.0
DWW_year2[434710] = 15.0
DWW_year2[434711] = 12.0
DWW_year2[434728] = 1.0
DWW_year2[434730] = 1.5
DWW_year2[434732] = 4.5
DWW_year2[434733] = 11.0
# Sample 146
DWW_year2[439965] = 1.5
DWW_year2[439967] = 1.5
DWW_year2[439968] = 1.5
DWW_year2[439973] = 0.5
DWW_year2[439974] = 1.0
DWW_year2[439975] = 1.5
DWW_year2[439976] = 1.5
DWW_year2[439977] = 7.5
DWW_year2[439978] = 5.0
DWW_year2[439983] = 1.0
DWW_year2[439984] = 1.5
DWW_year2[439991] = 1.5
DWW_year2[439992] = 1.5
DWW_year2[439998] = 5.0
DWW_year2[439999] = 8.0
DWW_year2[440000] = 1.5
DWW_year2[440001] = 1.0
DWW_year2[440005] = 0.5
DWW_year2[440006] = 4.5
DWW_year2[440007] = 8.5
DWW_year2[440008] = 1.0
DWW_year2[440014] = 6.0
DWW_year2[440015] = 5.5
DWW_year2[440021] = 11.0
DWW_year2[440042] = 1.5
DWW_year2[440043] = 1.5
DWW_year2[440050] = 1.5
DWW_year2[440051] = 1.5
# Sample 147
DWW_year2[440286] = 0.5
DWW_year2[440287] = 0.5
DWW_year2[440288] = 1.0
DWW_year2[440289] = 2.0
DWW_year2[440292] = 3.5
DWW_year2[440294] = 1.0
DWW_year2[440295] = 1.0
DWW_year2[440296] = 1.0
DWW_year2[440299] = 1.0
DWW_year2[440303] = 2.5
DWW_year2[440304] = 0.5
DWW_year2[440308] = 0.5
DWW_year2[440309] = 0.5
DWW_year2[440310] = 0.5
DWW_year2[440312] = 1.5
DWW_year2[440313] = 0.5
DWW_year2[440350] = 1.5
# Sample 148
DWW_year2[444712] = 4.0
DWW_year2[444713] = 2.5
DWW_year2[444714] = 3.0
DWW_year2[444715] = 3.0
DWW_year2[444717] = 3.5
DWW_year2[444721] = 1.5
DWW_year2[444722] = 1.5
DWW_year2[444725] = 5.0
DWW_year2[444726] = 6.0
DWW_year2[444727] = 4.5
DWW_year2[444728] = 1.0
DWW_year2[444729] = 1.5
DWW_year2[444730] = 1.5
DWW_year2[444737] = 1.5
DWW_year2[444738] = 1.5
DWW_year2[444739] = 0.5
DWW_year2[444741] = 0.5
DWW_year2[444745] = 1.0
DWW_year2[444746] = 1.5
DWW_year2[444753] = 1.5
DWW_year2[444754] = 1.5
DWW_year2[444759] = 0.5
DWW_year2[444766] = 5.5
DWW_year2[444767] = 2.5
DWW_year2[444773] = 0.5
DWW_year2[444774] = 1.0
DWW_year2[444775] = 6.0
DWW_year2[444776] = 3.0
DWW_year2[444777] = 0.5
DWW_year2[444785] = 0.5
DWW_year2[444786] = 0.5
DWW_year2[444788] = 5.0
DWW_year2[444789] = 2.0
DWW_year2[444791] = 1.5
DWW_year2[444792] = 1.5
DWW_year2[444793] = 1.5
DWW_year2[444794] = 17.5
DWW_year2[444795] = 7.0
DWW_year2[444796] = 7.0
DWW_year2[444797] = 7.0
DWW_year2[444798] = 6.5
DWW_year2[444799] = 8.5
DWW_year2[444800] = 8.5
DWW_year2[444801] = 7.0
DWW_year2[444802] = 6.5
DWW_year2[444803] = 7.0
DWW_year2[444804] = 7.0
DWW_year2[444805] = 8.0
DWW_year2[444806] = 1.0
DWW_year2[444807] = 1.0
DWW_year2[444808] = 4.5
DWW_year2[444811] = 4.0
DWW_year2[444812] = 3.5
DWW_year2[444814] = 2.0
DWW_year2[444815] = 1.5
DWW_year2[444816] = 1.0
DWW_year2[444817] = 13.0
DWW_year2[444818] = 7.0
DWW_year2[444819] = 7.0
DWW_year2[444820] = 6.5
DWW_year2[444821] = 7.0
DWW_year2[444822] = 7.0
DWW_year2[444823] = 6.5
DWW_year2[444824] = 7.0
DWW_year2[444825] = 6.5
DWW_year2[444826] = 7.0
DWW_year2[444827] = 7.0
DWW_year2[444828] = 6.5
DWW_year2[444829] = 7.0
DWW_year2[444830] = 6.5
DWW_year2[444831] = 1.0
DWW_year2[444835] = 0.5
DWW_year2[444837] = 0.5
DWW_year2[444839] = 1.5
DWW_year2[444843] = 0.5
DWW_year2[444847] = 1.5
DWW_year2[444848] = 6.5
DWW_year2[444850] = 1.0
# Sample 149
DWW_year2[445463] = 4.0
DWW_year2[445464] = 0.5
DWW_year2[445465] = 1.5
DWW_year2[445466] = 6.0
DWW_year2[445467] = 2.0
DWW_year2[445469] = 2.0
DWW_year2[445474] = 2.0
DWW_year2[445475] = 1.0
DWW_year2[445477] = 1.0
DWW_year2[445478] = 4.5
DWW_year2[445480] = 1.0
DWW_year2[445481] = 7.0
DWW_year2[445482] = 3.0
DWW_year2[445483] = 1.5
DWW_year2[445487] = 0.5
DWW_year2[445489] = 0.5
DWW_year2[445490] = 8.5
DWW_year2[445491] = 5.5
DWW_year2[445492] = 1.0
DWW_year2[445505] = 1.0
DWW_year2[445507] = 0.5
DWW_year2[445508] = 0.5
DWW_year2[445509] = 1.5
DWW_year2[445510] = 1.0
DWW_year2[445517] = 2.0
DWW_year2[445518] = 1.0
DWW_year2[445549] = 2.5
DWW_year2[445550] = 3.0
DWW_year2[445557] = 1.5
DWW_year2[445558] = 5.0
DWW_year2[445584] = 3.5
DWW_year2[445585] = 4.0
DWW_year2[445586] = 6.5
DWW_year2[445587] = 4.0
DWW_year2[445588] = 1.5
# Sample 150
DWW_year2[451369] = 1.0
DWW_year2[451370] = 0.5
DWW_year2[451371] = 7.5
DWW_year2[451372] = 11.5
DWW_year2[451373] = 2.0
DWW_year2[451375] = 1.0
DWW_year2[451376] = 1.5
DWW_year2[451380] = 2.5
DWW_year2[451381] = 0.5
DWW_year2[451387] = 10.0
DWW_year2[451388] = 2.5
DWW_year2[451389] = 0.5
DWW_year2[451391] = 2.0
DWW_year2[451393] = 1.5
DWW_year2[451394] = 1.0
DWW_year2[451395] = 1.0
DWW_year2[451396] = 2.5
DWW_year2[451397] = 0.5
DWW_year2[451400] = 2.0
DWW_year2[451404] = 2.5
DWW_year2[451405] = 0.5
DWW_year2[451410] = 1.0
DWW_year2[451411] = 1.0
DWW_year2[451412] = 2.0
DWW_year2[451413] = 0.5
DWW_year2[451414] = 1.0
DWW_year2[451415] = 7.5
DWW_year2[451416] = 9.0
DWW_year2[451417] = 6.0
DWW_year2[451426] = 5.0
DWW_year2[451427] = 8.5
DWW_year2[451428] = 3.5
DWW_year2[451429] = 1.5
DWW_year2[451431] = 0.5
DWW_year2[451433] = 1.0
DWW_year2[451440] = 9.0
DWW_year2[451441] = 5.0
DWW_year2[451445] = 0.5
DWW_year2[451446] = 1.0
DWW_year2[451447] = 2.0
DWW_year2[451448] = 0.5
DWW_year2[451451] = 4.5
DWW_year2[451452] = 2.5
DWW_year2[451454] = 1.0
DWW_year2[451455] = 2.0
DWW_year2[451466] = 3.5
DWW_year2[451467] = 7.0
DWW_year2[451468] = 11.0
DWW_year2[451480] = 3.0
DWW_year2[451481] = 0.5
DWW_year2[451482] = 1.0
DWW_year2[451487] = 1.0
DWW_year2[451488] = 0.5
DWW_year2[451489] = 0.5
DWW_year2[451490] = 1.0
DWW_year2[451495] = 1.0
DWW_year2[451498] = 5.5
DWW_year2[451499] = 1.0
# Sample 151
DWW_year2[451811] = 1.0
DWW_year2[451813] = 7.0
DWW_year2[451814] = 7.5
DWW_year2[451818] = 2.0
DWW_year2[451821] = 0.5
DWW_year2[451822] = 2.5
DWW_year2[451824] = 0.5
DWW_year2[451825] = 1.0
DWW_year2[451829] = 0.5
DWW_year2[451830] = 2.0
DWW_year2[451831] = 0.5
DWW_year2[451837] = 0.5
DWW_year2[451838] = 2.5
DWW_year2[451843] = 2.5
DWW_year2[451844] = 5.5
DWW_year2[451845] = 0.5
DWW_year2[451846] = 2.5
DWW_year2[451847] = 1.0
DWW_year2[451853] = 0.5
DWW_year2[451854] = 2.0
DWW_year2[451855] = 0.5
DWW_year2[451856] = 0.5
DWW_year2[451857] = 1.0
DWW_year2[451858] = 4.0
DWW_year2[451859] = 8.5
DWW_year2[451860] = 6.5
DWW_year2[451861] = 7.0
DWW_year2[451862] = 6.5
DWW_year2[451863] = 7.0
DWW_year2[451864] = 7.0
DWW_year2[451865] = 6.5
DWW_year2[451866] = 6.5
DWW_year2[451868] = 6.5
DWW_year2[451869] = 1.0
DWW_year2[451873] = 0.5
DWW_year2[451874] = 1.0
DWW_year2[451875] = 0.5
DWW_year2[451876] = 0.5
DWW_year2[451881] = 0.5
DWW_year2[451884] = 4.5
DWW_year2[451885] = 4.5
DWW_year2[451888] = 0.5
DWW_year2[451892] = 4.0
DWW_year2[451893] = 3.5
DWW_year2[451894] = 1.0
DWW_year2[451896] = 2.0
DWW_year2[451897] = 1.0
DWW_year2[451899] = 1.0
DWW_year2[451900] = 2.0
DWW_year2[451904] = 2.0
DWW_year2[451905] = 1.0
DWW_year2[451906] = 0.5
DWW_year2[451907] = 0.5
DWW_year2[451910] = 4.0
DWW_year2[451911] = 4.0
DWW_year2[451917] = 0.5
DWW_year2[451919] = 1.0
DWW_year2[451922] = 0.5
DWW_year2[451959] = 4.0
DWW_year2[451960] = 6.0
# Sample 152
DWW_year2[455638] = 1.0
DWW_year2[455641] = 2.0
DWW_year2[455642] = 1.0
DWW_year2[455649] = 2.0
DWW_year2[455650] = 1.0
DWW_year2[455657] = 2.0
DWW_year2[455658] = 0.5
DWW_year2[455665] = 2.0
DWW_year2[455666] = 1.0
DWW_year2[455668] = 3.5
DWW_year2[455669] = 2.5
DWW_year2[455673] = 2.5
DWW_year2[455674] = 0.5
DWW_year2[455681] = 2.0
DWW_year2[455682] = 1.0
DWW_year2[455718] = 2.0
DWW_year2[455719] = 1.0
DWW_year2[455723] = 2.0
DWW_year2[455724] = 1.0
DWW_year2[455731] = 2.0
DWW_year2[455732] = 0.5
# Sample 153
DWW_year2[459094] = 1.0
DWW_year2[459095] = 2.0
DWW_year2[459097] = 3.5
DWW_year2[459098] = 1.0
DWW_year2[459105] = 2.0
DWW_year2[459106] = 1.0
DWW_year2[459108] = 1.0
DWW_year2[459113] = 1.5
DWW_year2[459114] = 1.0
DWW_year2[459120] = 0.5
DWW_year2[459121] = 2.0
DWW_year2[459122] = 1.0
DWW_year2[459123] = 1.0
DWW_year2[459124] = 6.0
DWW_year2[459127] = 6.0
DWW_year2[459128] = 1.0
DWW_year2[459129] = 2.0
DWW_year2[459130] = 3.5
DWW_year2[459131] = 6.5
DWW_year2[459132] = 7.5
DWW_year2[459133] = 6.5
DWW_year2[459134] = 7.0
DWW_year2[459135] = 7.0
DWW_year2[459136] = 6.5
DWW_year2[459137] = 9.0
DWW_year2[459138] = 7.5
DWW_year2[459139] = 7.0
DWW_year2[459140] = 3.0
DWW_year2[459143] = 5.0
DWW_year2[459144] = 4.0
DWW_year2[459149] = 3.5
DWW_year2[459150] = 4.5
DWW_year2[459151] = 0.5
DWW_year2[459154] = 1.0
DWW_year2[459158] = 0.5
DWW_year2[459159] = 2.0
DWW_year2[459160] = 0.5
DWW_year2[459162] = 3.0
DWW_year2[459166] = 0.5
DWW_year2[459167] = 2.0
DWW_year2[459168] = 0.5
DWW_year2[459173] = 0.5
DWW_year2[459174] = 0.5
DWW_year2[459182] = 0.5
DWW_year2[459183] = 1.0
DWW_year2[459190] = 6.5
DWW_year2[459191] = 17.0
DWW_year2[459192] = 19.5
DWW_year2[459193] = 17.0
DWW_year2[459194] = 15.5
DWW_year2[459195] = 7.5
DWW_year2[459196] = 1.5
DWW_year2[459198] = 0.5
DWW_year2[459199] = 2.0
DWW_year2[459200] = 5.0
DWW_year2[459201] = 1.0
DWW_year2[459203] = 0.5
DWW_year2[459204] = 1.5
DWW_year2[459205] = 17.5
DWW_year2[459206] = 7.5
DWW_year2[459207] = 7.0
DWW_year2[459208] = 8.0
DWW_year2[459209] = 7.0
DWW_year2[459210] = 7.5
DWW_year2[459211] = 7.0
DWW_year2[459212] = 7.5
DWW_year2[459213] = 7.0
DWW_year2[459214] = 8.0
DWW_year2[459215] = 8.0
DWW_year2[459216] = 7.0
DWW_year2[459217] = 6.5
DWW_year2[459218] = 7.0
DWW_year2[459219] = 7.0
DWW_year2[459220] = 0.5
DWW_year2[459222] = 0.5
DWW_year2[459223] = 4.5
DWW_year2[459224] = 3.5
DWW_year2[459225] = 1.0
DWW_year2[459226] = 2.0
DWW_year2[459228] = 0.5
DWW_year2[459229] = 4.5
DWW_year2[459230] = 9.0
DWW_year2[459231] = 7.5
DWW_year2[459232] = 7.0
DWW_year2[459233] = 7.0
DWW_year2[459234] = 7.5
DWW_year2[459235] = 7.0
DWW_year2[459236] = 7.0
DWW_year2[459237] = 7.5
DWW_year2[459238] = 7.0
DWW_year2[459239] = 7.0
DWW_year2[459240] = 7.0
DWW_year2[459241] = 9.5
DWW_year2[459242] = 2.0
# Sample 154
DWW_year2[461991] = 1.0
DWW_year2[461992] = 4.0
DWW_year2[461993] = 10.5
DWW_year2[461994] = 8.5
DWW_year2[461996] = 1.0
DWW_year2[461997] = 6.5
DWW_year2[461998] = 7.0
DWW_year2[461999] = 5.5
DWW_year2[462000] = 4.0
DWW_year2[462001] = 5.0
DWW_year2[462002] = 7.0
DWW_year2[462003] = 13.0
DWW_year2[462004] = 8.5
DWW_year2[462005] = 6.0
DWW_year2[462006] = 8.0
DWW_year2[462007] = 8.5
DWW_year2[462008] = 4.0
DWW_year2[462009] = 1.0
DWW_year2[462010] = 7.0
DWW_year2[462011] = 7.0
DWW_year2[462012] = 7.5
DWW_year2[462013] = 6.5
DWW_year2[462014] = 6.5
DWW_year2[462015] = 2.0
DWW_year2[462016] = 6.0
DWW_year2[462017] = 4.5
DWW_year2[462018] = 4.0
DWW_year2[462019] = 5.5
DWW_year2[462021] = 1.0
DWW_year2[462022] = 1.5
DWW_year2[462023] = 2.0
DWW_year2[462025] = 1.0
DWW_year2[462026] = 11.5
DWW_year2[462028] = 0.5
DWW_year2[462030] = 2.0
DWW_year2[462031] = 1.0
DWW_year2[462033] = 1.0
DWW_year2[462034] = 2.0
DWW_year2[462041] = 2.5
DWW_year2[462045] = 0.5
DWW_year2[462058] = 1.0
DWW_year2[462059] = 2.0
DWW_year2[462066] = 1.0
DWW_year2[462067] = 2.0
DWW_year2[462074] = 2.5
DWW_year2[462075] = 13.0
DWW_year2[462076] = 19.0
DWW_year2[462077] = 9.5
DWW_year2[462078] = 6.5
DWW_year2[462080] = 2.0
DWW_year2[462081] = 5.5
DWW_year2[462082] = 3.0
DWW_year2[462083] = 9.5
DWW_year2[462084] = 7.5
DWW_year2[462085] = 7.0
DWW_year2[462086] = 4.0
DWW_year2[462101] = 0.5
DWW_year2[462102] = 2.0
DWW_year2[462109] = 8.5
DWW_year2[462110] = 15.0
DWW_year2[462111] = 7.0
DWW_year2[462112] = 7.0
DWW_year2[462113] = 7.0
DWW_year2[462114] = 6.5
DWW_year2[462115] = 13.0
DWW_year2[462116] = 8.5
DWW_year2[462117] = 7.0
DWW_year2[462118] = 7.0
DWW_year2[462119] = 7.0
DWW_year2[462120] = 7.0
DWW_year2[462121] = 6.5
DWW_year2[462122] = 7.0
DWW_year2[462123] = 7.0
DWW_year2[462124] = 6.5
DWW_year2[462125] = 7.0
DWW_year2[462126] = 2.0
DWW_year2[462129] = 2.5
DWW_year2[462130] = 5.0
DWW_year2[462131] = 5.0
DWW_year2[462132] = 0.5
# Sample 155
DWW_year2[462178] = 2.5
DWW_year2[462179] = 0.5
DWW_year2[462183] = 0.5
DWW_year2[462184] = 0.5
DWW_year2[462217] = 0.5
DWW_year2[462240] = 0.5
# Sample 156
DWW_year2[466317] = 0.5
DWW_year2[466318] = 3.0
# Sample 157
DWW_year2[467715] = 1.5
DWW_year2[467716] = 2.0
DWW_year2[467717] = 0.5
DWW_year2[467718] = 8.0
DWW_year2[467719] = 0.5
DWW_year2[467720] = 6.5
DWW_year2[467726] = 2.0
DWW_year2[467727] = 1.0
DWW_year2[467734] = 1.5
DWW_year2[467735] = 1.0
DWW_year2[467742] = 2.0
DWW_year2[467743] = 1.0
DWW_year2[467747] = 1.5
DWW_year2[467748] = 1.0
DWW_year2[467750] = 2.5
DWW_year2[467751] = 1.0
DWW_year2[467756] = 0.5
DWW_year2[467758] = 2.0
DWW_year2[467759] = 1.0
DWW_year2[467764] = 2.5
DWW_year2[467767] = 0.5
DWW_year2[467769] = 5.5
DWW_year2[467789] = 2.0
DWW_year2[467790] = 1.0
DWW_year2[467797] = 2.0
DWW_year2[467798] = 0.5
DWW_year2[467833] = 4.5
DWW_year2[467835] = 3.5
DWW_year2[467838] = 3.0
DWW_year2[467839] = 6.0
DWW_year2[467840] = 15.5
DWW_year2[467841] = 14.5
DWW_year2[467842] = 14.5
DWW_year2[467843] = 15.0
DWW_year2[467844] = 16.0
DWW_year2[467845] = 8.5
DWW_year2[467846] = 13.5
DWW_year2[467848] = 0.5
DWW_year2[467854] = 1.0
DWW_year2[467855] = 0.5
DWW_year2[467866] = 0.5
DWW_year2[467869] = 1.5
DWW_year2[467870] = 6.0
DWW_year2[467872] = 1.0
DWW_year2[467874] = 9.5
DWW_year2[467875] = 8.5
DWW_year2[467876] = 7.0
DWW_year2[467877] = 6.5
DWW_year2[467878] = 7.0
DWW_year2[467879] = 6.5
DWW_year2[467880] = 7.0
DWW_year2[467881] = 6.5
DWW_year2[467882] = 7.0
DWW_year2[467883] = 7.0
DWW_year2[467884] = 6.5
DWW_year2[467885] = 1.5
DWW_year2[467886] = 0.5
DWW_year2[467887] = 5.0
DWW_year2[467888] = 6.5
DWW_year2[467889] = 2.5
DWW_year2[467893] = 0.5
DWW_year2[467894] = 7.5
DWW_year2[467895] = 7.0
DWW_year2[467896] = 5.5
DWW_year2[467897] = 4.0
DWW_year2[467899] = 2.5
DWW_year2[467900] = 6.0
DWW_year2[467901] = 2.0
DWW_year2[467902] = 14.0
DWW_year2[467903] = 9.0
DWW_year2[467904] = 7.5
DWW_year2[467905] = 7.0
DWW_year2[467906] = 7.0
DWW_year2[467907] = 6.5
DWW_year2[467908] = 7.0
DWW_year2[467909] = 6.5
DWW_year2[467910] = 3.5
DWW_year2[467913] = 4.0
DWW_year2[467919] = 4.5
DWW_year2[467920] = 8.0
DWW_year2[467921] = 15.5
DWW_year2[467922] = 7.0
DWW_year2[467923] = 7.0
DWW_year2[467924] = 6.5
DWW_year2[467925] = 7.5
DWW_year2[467926] = 7.0
DWW_year2[467927] = 7.0
DWW_year2[467928] = 6.5
DWW_year2[467929] = 7.0
DWW_year2[467930] = 10.0
DWW_year2[467931] = 6.0
DWW_year2[467932] = 6.0
DWW_year2[467934] = 3.0
DWW_year2[467935] = 0.5
DWW_year2[467936] = 1.0
DWW_year2[467937] = 0.5
DWW_year2[467938] = 1.0
# Sample 158
DWW_year2[471800] = 0.5
DWW_year2[471801] = 0.5
DWW_year2[471802] = 0.5
DWW_year2[471803] = 2.0
DWW_year2[471804] = 1.0
DWW_year2[471811] = 2.0
DWW_year2[471812] = 0.5
DWW_year2[471813] = 2.0
DWW_year2[471814] = 0.5
DWW_year2[471816] = 0.5
DWW_year2[471819] = 2.0
DWW_year2[471820] = 1.0
DWW_year2[471827] = 2.0
DWW_year2[471828] = 0.5
DWW_year2[471835] = 2.5
DWW_year2[471836] = 0.5
DWW_year2[471843] = 2.0
DWW_year2[471844] = 1.0
DWW_year2[471884] = 2.5
DWW_year2[471885] = 0.5
DWW_year2[471892] = 2.5
DWW_year2[471893] = 0.5
# Sample 159
DWW_year2[471947] = 8.0
DWW_year2[471948] = 1.0
DWW_year2[471949] = 1.0
DWW_year2[471950] = 5.0
DWW_year2[471951] = 1.0
DWW_year2[471952] = 1.0
DWW_year2[471953] = 1.0
DWW_year2[471954] = 5.5
DWW_year2[471955] = 9.0
DWW_year2[471956] = 5.5
DWW_year2[471957] = 1.5
DWW_year2[471958] = 2.0
DWW_year2[471959] = 1.5
DWW_year2[471960] = 1.0
DWW_year2[471961] = 5.5
DWW_year2[471962] = 4.0
DWW_year2[471963] = 1.5
DWW_year2[471964] = 9.0
DWW_year2[471965] = 13.0
DWW_year2[471966] = 12.5
DWW_year2[471967] = 10.0
DWW_year2[471968] = 6.5
DWW_year2[471969] = 7.0
DWW_year2[471970] = 7.0
DWW_year2[471971] = 4.0
DWW_year2[471972] = 6.0
DWW_year2[471973] = 6.0
DWW_year2[471974] = 9.0
DWW_year2[471975] = 2.0
DWW_year2[471979] = 1.0
DWW_year2[471982] = 1.0
DWW_year2[471988] = 3.5
# Sample 160
DWW_year2[478645] = 1.0
DWW_year2[478646] = 2.0
DWW_year2[478647] = 1.0
DWW_year2[478654] = 2.0
DWW_year2[478655] = 1.0
DWW_year2[478662] = 2.0
DWW_year2[478663] = 0.5
DWW_year2[478670] = 2.0
DWW_year2[478671] = 1.0
DWW_year2[478678] = 2.0
DWW_year2[478679] = 1.0
DWW_year2[478686] = 2.0
DWW_year2[478687] = 1.0
DWW_year2[478728] = 1.0
DWW_year2[478729] = 1.5
DWW_year2[478734] = 3.0
DWW_year2[478735] = 0.5
DWW_year2[478736] = 1.5
DWW_year2[478737] = 1.0
DWW_year2[478790] = 2.5
DWW_year2[478791] = 1.0
DWW_year2[478793] = 0.5
DWW_year2[478794] = 2.5
# Sample 161
DWW_year2[481661] = 2.0
DWW_year2[481663] = 2.0
DWW_year2[481664] = 2.0
DWW_year2[481669] = 1.5
DWW_year2[481671] = 1.0
DWW_year2[481672] = 1.5
DWW_year2[481674] = 6.5
DWW_year2[481675] = 1.0
DWW_year2[481679] = 1.5
DWW_year2[481680] = 1.5
DWW_year2[481687] = 1.5
DWW_year2[481688] = 1.5
DWW_year2[481695] = 1.0
DWW_year2[481696] = 2.0
DWW_year2[481699] = 8.0
DWW_year2[481700] = 8.0
DWW_year2[481701] = 5.0
DWW_year2[481702] = 5.0
DWW_year2[481703] = 1.0
DWW_year2[481704] = 4.0
DWW_year2[481705] = 5.0
DWW_year2[481707] = 3.0
DWW_year2[481724] = 10.0
DWW_year2[481725] = 7.5
DWW_year2[481727] = 5.0
DWW_year2[481734] = 8.5
DWW_year2[481735] = 5.0
DWW_year2[481736] = 3.0
DWW_year2[481737] = 5.0
DWW_year2[481738] = 0.5
DWW_year2[481739] = 2.5
DWW_year2[481740] = 1.0
DWW_year2[481741] = 6.5
DWW_year2[481742] = 8.0
DWW_year2[481743] = 0.5
DWW_year2[481745] = 2.0
DWW_year2[481746] = 6.5
DWW_year2[481747] = 5.0
DWW_year2[481749] = 2.5
DWW_year2[481750] = 5.0
DWW_year2[481751] = 12.0
DWW_year2[481752] = 8.5
DWW_year2[481753] = 2.5
DWW_year2[481759] = 1.0
DWW_year2[481760] = 5.0
DWW_year2[481787] = 1.0
DWW_year2[481788] = 0.5
# Sample 162
DWW_year2[481913] = 2.0
DWW_year2[481915] = 1.5
DWW_year2[481916] = 12.5
DWW_year2[481917] = 12.0
DWW_year2[481918] = 7.0
DWW_year2[481919] = 6.5
DWW_year2[481920] = 7.0
DWW_year2[481921] = 7.0
DWW_year2[481922] = 7.0
DWW_year2[481923] = 7.0
DWW_year2[481926] = 3.5
DWW_year2[481927] = 2.5
DWW_year2[481931] = 0.5
DWW_year2[481932] = 0.5
DWW_year2[481940] = 4.0
DWW_year2[481941] = 2.0
DWW_year2[481944] = 0.5
DWW_year2[481984] = 1.0
# Sample 163
DWW_year2[485888] = 1.0
DWW_year2[485890] = 1.5
DWW_year2[485891] = 1.5
DWW_year2[485892] = 0.5
DWW_year2[485893] = 0.5
DWW_year2[485898] = 1.0
DWW_year2[485899] = 3.5
DWW_year2[485901] = 2.0
DWW_year2[485904] = 2.0
DWW_year2[485905] = 0.5
DWW_year2[485906] = 6.5
DWW_year2[485907] = 3.5
DWW_year2[485908] = 3.5
DWW_year2[485909] = 0.5
DWW_year2[485914] = 1.5
DWW_year2[485915] = 3.0
DWW_year2[485917] = 2.0
DWW_year2[485918] = 5.0
DWW_year2[485919] = 1.0
DWW_year2[485922] = 1.0
DWW_year2[485923] = 2.0
DWW_year2[485927] = 2.5
DWW_year2[485928] = 1.0
DWW_year2[485930] = 1.0
DWW_year2[485931] = 2.0
DWW_year2[485951] = 0.5
DWW_year2[485953] = 1.0
DWW_year2[485955] = 1.0
DWW_year2[485963] = 1.5
DWW_year2[485964] = 1.0
DWW_year2[485971] = 2.0
DWW_year2[485972] = 1.0
DWW_year2[485988] = 0.5
DWW_year2[486003] = 0.5
DWW_year2[486004] = 3.0
# Sample 164
DWW_year2[486040] = 4.0
DWW_year2[486042] = 1.5
DWW_year2[486043] = 1.5
DWW_year2[486049] = 1.5
DWW_year2[486050] = 5.5
# Sample 165
DWW_year2[489352] = 1.0
DWW_year2[489354] = 2.0
DWW_year2[489355] = 3.5
DWW_year2[489356] = 2.5
DWW_year2[489363] = 2.5
DWW_year2[489364] = 0.5
DWW_year2[489369] = 1.0
DWW_year2[489371] = 2.5
DWW_year2[489378] = 3.0
DWW_year2[489379] = 4.0
DWW_year2[489380] = 0.5
DWW_year2[489381] = 3.5
DWW_year2[489382] = 3.5
DWW_year2[489386] = 0.5
DWW_year2[489387] = 2.0
DWW_year2[489388] = 0.5
DWW_year2[489394] = 1.0
DWW_year2[489395] = 2.0
DWW_year2[489396] = 0.5
DWW_year2[489399] = 4.0
DWW_year2[489400] = 1.5
DWW_year2[489401] = 5.5
DWW_year2[489422] = 4.5
DWW_year2[489423] = 2.0
DWW_year2[489424] = 5.5
DWW_year2[489425] = 2.0
DWW_year2[489426] = 2.0
DWW_year2[489427] = 1.0
DWW_year2[489434] = 2.0
DWW_year2[489435] = 1.0
DWW_year2[489459] = 0.5
DWW_year2[489462] = 0.5
DWW_year2[489464] = 1.0
DWW_year2[489468] = 2.5
DWW_year2[489469] = 4.5
DWW_year2[489504] = 2.5
DWW_year2[489505] = 5.0
DWW_year2[489509] = 4.0
# Sample 166
DWW_year2[489512] = 0.5
DWW_year2[489514] = 11.0
DWW_year2[489515] = 8.5
DWW_year2[489516] = 7.0
DWW_year2[489517] = 7.0
DWW_year2[489518] = 7.0
DWW_year2[489519] = 6.5
DWW_year2[489520] = 7.0
DWW_year2[489521] = 7.0
DWW_year2[489522] = 8.5
DWW_year2[489523] = 8.5
DWW_year2[489524] = 7.0
DWW_year2[489525] = 6.5
DWW_year2[489526] = 4.0
DWW_year2[489527] = 0.5
DWW_year2[489530] = 1.5
DWW_year2[489531] = 1.5
DWW_year2[489537] = 0.5
DWW_year2[489538] = 2.0
DWW_year2[489539] = 1.0
DWW_year2[489541] = 2.5
DWW_year2[489542] = 4.5
DWW_year2[489546] = 1.5
DWW_year2[489547] = 1.5
DWW_year2[489552] = 10.5
DWW_year2[489553] = 9.5
DWW_year2[489554] = 9.0
DWW_year2[489555] = 8.5
DWW_year2[489556] = 7.0
DWW_year2[489557] = 7.0
DWW_year2[489558] = 5.5
DWW_year2[489564] = 0.5
DWW_year2[489565] = 0.5
DWW_year2[489577] = 1.0
DWW_year2[489578] = 2.0
DWW_year2[489585] = 1.0
DWW_year2[489586] = 1.5
DWW_year2[489624] = 1.0
DWW_year2[489626] = 5.0
DWW_year2[489627] = 5.5
DWW_year2[489628] = 3.5
# Sample 167
DWW_year2[494786] = 1.5
DWW_year2[494787] = 1.0
DWW_year2[494788] = 3.5
DWW_year2[494789] = 3.0
DWW_year2[494790] = 2.5
DWW_year2[494796] = 0.5
DWW_year2[494797] = 2.0
DWW_year2[494798] = 2.0
DWW_year2[494804] = 0.5
DWW_year2[494805] = 2.5
DWW_year2[494810] = 4.0
DWW_year2[494811] = 2.0
DWW_year2[494812] = 1.0
DWW_year2[494813] = 2.0
DWW_year2[494820] = 0.5
DWW_year2[494821] = 2.5
DWW_year2[494828] = 1.5
DWW_year2[494829] = 2.0
DWW_year2[494842] = 0.5
DWW_year2[494847] = 1.0
DWW_year2[494852] = 6.5
DWW_year2[494853] = 1.0
DWW_year2[494858] = 0.5
DWW_year2[494860] = 0.5
DWW_year2[494861] = 2.5
DWW_year2[494868] = 0.5
DWW_year2[494869] = 2.0
DWW_year2[494870] = 0.5
DWW_year2[494871] = 6.5
DWW_year2[494872] = 2.0
DWW_year2[494880] = 1.5
DWW_year2[494882] = 0.5
DWW_year2[494883] = 2.0
DWW_year2[494908] = 4.5
DWW_year2[494909] = 3.0
DWW_year2[494920] = 0.5
DWW_year2[494922] = 0.5
DWW_year2[494923] = 0.5
DWW_year2[494924] = 0.5
DWW_year2[494936] = 5.0
DWW_year2[494937] = 6.0
DWW_year2[494939] = 5.0
DWW_year2[494940] = 3.0
DWW_year2[494941] = 2.5
DWW_year2[494944] = 1.0
# Sample 168
DWW_year2[494961] = 1.5
DWW_year2[494962] = 1.5
DWW_year2[494963] = 0.5
DWW_year2[494970] = 0.5
DWW_year2[494971] = 4.0
DWW_year2[494979] = 0.5
DWW_year2[494982] = 0.5
DWW_year2[494984] = 0.5
DWW_year2[494985] = 2.0
DWW_year2[494986] = 5.0
DWW_year2[494988] = 1.5
DWW_year2[494990] = 0.5
DWW_year2[494991] = 1.5
DWW_year2[494992] = 4.0
DWW_year2[494993] = 1.0
# Sample 169
DWW_year2[497930] = 1.0
DWW_year2[497932] = 1.5
DWW_year2[497933] = 19.5
DWW_year2[497934] = 15.0
DWW_year2[497935] = 14.5
DWW_year2[497936] = 10.5
DWW_year2[497940] = 2.5
DWW_year2[497941] = 2.0
DWW_year2[497942] = 0.5
DWW_year2[497948] = 0.5
DWW_year2[497949] = 2.0
DWW_year2[497950] = 0.5
DWW_year2[497956] = 0.5
DWW_year2[497957] = 2.0
DWW_year2[497964] = 0.5
DWW_year2[497965] = 2.5
DWW_year2[497972] = 0.5
DWW_year2[497973] = 2.5
DWW_year2[497981] = 2.5
DWW_year2[497982] = 4.5
DWW_year2[498004] = 8.5
DWW_year2[498005] = 4.0
DWW_year2[498006] = 2.0
DWW_year2[498010] = 4.5
DWW_year2[498011] = 8.0
DWW_year2[498012] = 8.0
DWW_year2[498013] = 9.0
DWW_year2[498014] = 7.0
DWW_year2[498015] = 7.0
DWW_year2[498016] = 7.0
DWW_year2[498017] = 6.5
DWW_year2[498018] = 7.0
DWW_year2[498019] = 7.0
DWW_year2[498020] = 8.0
DWW_year2[498021] = 9.0
DWW_year2[498022] = 6.5
DWW_year2[498023] = 3.5
DWW_year2[498026] = 1.0
DWW_year2[498027] = 16.0
DWW_year2[498028] = 8.0
DWW_year2[498029] = 8.0
DWW_year2[498030] = 7.0
DWW_year2[498031] = 7.0
DWW_year2[498032] = 7.0
DWW_year2[498033] = 7.0
DWW_year2[498034] = 7.0
DWW_year2[498035] = 5.5
DWW_year2[498044] = 0.5
DWW_year2[498052] = 3.5
DWW_year2[498053] = 6.5
DWW_year2[498054] = 7.0
DWW_year2[498055] = 7.0
DWW_year2[498056] = 6.5
DWW_year2[498057] = 7.0
DWW_year2[498058] = 7.0
DWW_year2[498059] = 7.0
DWW_year2[498060] = 6.5
DWW_year2[498061] = 7.0
DWW_year2[498062] = 0.5
DWW_year2[498065] = 3.0
# Sample 170
DWW_year2[498069] = 2.0
DWW_year2[498070] = 0.5
DWW_year2[498071] = 1.0
DWW_year2[498072] = 2.0
DWW_year2[498076] = 0.5
DWW_year2[498077] = 0.5
DWW_year2[498103] = 0.5
DWW_year2[498128] = 0.5
DWW_year2[498130] = 0.5
DWW_year2[498132] = 0.5
DWW_year2[498133] = 2.0
DWW_year2[498134] = 5.5
DWW_year2[498136] = 0.5
# Sample 171
DWW_year2[502265] = 3.0
DWW_year2[502266] = 1.0
DWW_year2[502267] = 7.0
DWW_year2[502268] = 21.0
DWW_year2[502269] = 27.0
DWW_year2[502270] = 26.0
DWW_year2[502271] = 8.0
DWW_year2[502272] = 7.0
DWW_year2[502273] = 7.0
DWW_year2[502274] = 8.0
DWW_year2[502275] = 8.0
DWW_year2[502276] = 6.5
DWW_year2[502277] = 6.0
DWW_year2[502278] = 16.5
DWW_year2[502279] = 19.5
DWW_year2[502280] = 5.5
DWW_year2[502281] = 1.5
DWW_year2[502283] = 1.0
DWW_year2[502284] = 2.0
DWW_year2[502288] = 1.5
DWW_year2[502289] = 9.0
DWW_year2[502290] = 4.5
DWW_year2[502291] = 1.0
DWW_year2[502292] = 2.0
DWW_year2[502298] = 1.0
DWW_year2[502299] = 2.5
DWW_year2[502300] = 1.5
DWW_year2[502303] = 1.0
DWW_year2[502307] = 1.5
DWW_year2[502308] = 1.5
DWW_year2[502311] = 0.5
DWW_year2[502315] = 1.0
DWW_year2[502317] = 0.5
DWW_year2[502318] = 0.5
DWW_year2[502320] = 1.0
DWW_year2[502322] = 0.5
DWW_year2[502323] = 0.5
DWW_year2[502324] = 0.5
DWW_year2[502325] = 0.5
DWW_year2[502333] = 1.0
DWW_year2[502335] = 1.5
DWW_year2[502336] = 0.5
DWW_year2[502337] = 1.0
DWW_year2[502338] = 1.0
DWW_year2[502340] = 1.0
DWW_year2[502341] = 2.5
DWW_year2[502342] = 1.0
DWW_year2[502343] = 1.0
DWW_year2[502344] = 4.0
DWW_year2[502345] = 0.5
DWW_year2[502351] = 1.0
DWW_year2[502352] = 6.0
DWW_year2[502353] = 16.0
DWW_year2[502354] = 7.5
DWW_year2[502355] = 7.0
DWW_year2[502356] = 7.0
DWW_year2[502357] = 7.0
DWW_year2[502358] = 7.0
DWW_year2[502359] = 7.0
DWW_year2[502360] = 7.0
DWW_year2[502361] = 7.0
DWW_year2[502362] = 7.0
DWW_year2[502363] = 6.5
DWW_year2[502364] = 7.0
DWW_year2[502365] = 7.0
DWW_year2[502366] = 7.0
DWW_year2[502367] = 5.5
DWW_year2[502371] = 4.0
DWW_year2[502372] = 0.5
DWW_year2[502379] = 0.5
DWW_year2[502380] = 4.0
DWW_year2[502390] = 5.0
DWW_year2[502391] = 4.5
DWW_year2[502394] = 0.5
DWW_year2[502395] = 2.0
DWW_year2[502401] = 1.5
DWW_year2[502402] = 1.5
# Sample 172
DWW_year2[506103] = 1.0
DWW_year2[506105] = 1.0
DWW_year2[506106] = 2.0
DWW_year2[506113] = 2.0
DWW_year2[506114] = 14.5
DWW_year2[506115] = 6.0
DWW_year2[506116] = 3.0
DWW_year2[506117] = 4.0
DWW_year2[506118] = 3.5
DWW_year2[506121] = 0.5
DWW_year2[506122] = 2.5
DWW_year2[506124] = 3.5
DWW_year2[506129] = 0.5
DWW_year2[506130] = 2.0
DWW_year2[506137] = 1.0
DWW_year2[506138] = 2.0
DWW_year2[506139] = 9.5
DWW_year2[506140] = 6.5
DWW_year2[506141] = 4.0
DWW_year2[506142] = 2.5
DWW_year2[506143] = 1.5
DWW_year2[506145] = 0.5
DWW_year2[506146] = 2.5
DWW_year2[506150] = 1.0
DWW_year2[506151] = 9.0
DWW_year2[506152] = 6.5
DWW_year2[506153] = 5.0
DWW_year2[506159] = 1.0
DWW_year2[506160] = 8.0
DWW_year2[506161] = 5.5
DWW_year2[506162] = 4.5
DWW_year2[506168] = 1.0
DWW_year2[506169] = 10.0
DWW_year2[506170] = 7.5
DWW_year2[506182] = 6.5
DWW_year2[506183] = 2.5
DWW_year2[506190] = 1.0
DWW_year2[506191] = 2.0
# Sample 173
DWW_year2[506346] = 5.0
DWW_year2[506347] = 1.5
DWW_year2[506348] = 1.5
DWW_year2[506391] = 1.0
# Sample 174
DWW_year2[510648] = 1.0
DWW_year2[510649] = 2.0
DWW_year2[510650] = 8.0
DWW_year2[510651] = 0.5
DWW_year2[510652] = 2.5
DWW_year2[510653] = 1.0
DWW_year2[510656] = 1.0
DWW_year2[510657] = 2.0
DWW_year2[510660] = 2.0
DWW_year2[510661] = 4.5
DWW_year2[510664] = 2.0
DWW_year2[510665] = 2.0
DWW_year2[510671] = 1.0
DWW_year2[510672] = 5.0
DWW_year2[510673] = 3.0
DWW_year2[510675] = 1.0
DWW_year2[510676] = 1.0
DWW_year2[510677] = 1.5
DWW_year2[510678] = 2.0
DWW_year2[510679] = 4.5
DWW_year2[510680] = 10.0
DWW_year2[510681] = 4.5
DWW_year2[510682] = 0.5
DWW_year2[510684] = 5.5
DWW_year2[510685] = 1.5
DWW_year2[510686] = 1.5
DWW_year2[510687] = 3.0
DWW_year2[510688] = 1.0
DWW_year2[510689] = 2.0
DWW_year2[510693] = 2.0
DWW_year2[510694] = 5.5
DWW_year2[510699] = 1.5
DWW_year2[510708] = 1.5
DWW_year2[510709] = 1.5
DWW_year2[510711] = 5.0
DWW_year2[510712] = 1.5
DWW_year2[510714] = 1.5
DWW_year2[510716] = 1.5
DWW_year2[510717] = 1.5
DWW_year2[510723] = 6.0
DWW_year2[510785] = 0.5
DWW_year2[510788] = 3.0
# Sample 175
DWW_year2[510806] = 2.0
DWW_year2[510807] = 5.0
DWW_year2[510814] = 1.5
DWW_year2[510815] = 1.5
DWW_year2[510822] = 1.5
DWW_year2[510823] = 1.0
DWW_year2[510830] = 2.0
DWW_year2[510831] = 1.0
DWW_year2[510838] = 2.0
DWW_year2[510839] = 1.0
DWW_year2[510846] = 1.5
DWW_year2[510847] = 1.5
DWW_year2[510869] = 1.5
DWW_year2[510870] = 6.0
DWW_year2[510872] = 9.5
DWW_year2[510873] = 3.0
DWW_year2[510874] = 4.0
DWW_year2[510875] = 3.5
DWW_year2[510876] = 3.0
DWW_year2[510877] = 2.5
DWW_year2[510878] = 2.5
DWW_year2[510879] = 6.5
DWW_year2[510880] = 7.0
DWW_year2[510881] = 6.5
DWW_year2[510882] = 6.5
DWW_year2[510883] = 9.0
DWW_year2[510884] = 7.5
DWW_year2[510885] = 6.5
DWW_year2[510886] = 6.5
DWW_year2[510887] = 7.0
DWW_year2[510888] = 3.5
DWW_year2[510890] = 6.0
DWW_year2[510891] = 4.5
DWW_year2[510892] = 1.0
DWW_year2[510895] = 4.0
DWW_year2[510896] = 15.0
DWW_year2[510897] = 3.5
DWW_year2[510898] = 0.5
DWW_year2[510899] = 0.5
DWW_year2[510901] = 0.5
DWW_year2[510902] = 0.5
DWW_year2[510903] = 5.0
DWW_year2[510904] = 3.0
DWW_year2[510905] = 11.0
DWW_year2[510906] = 18.5
DWW_year2[510907] = 2.0
DWW_year2[510908] = 0.5
DWW_year2[510909] = 0.5
DWW_year2[510910] = 1.0
DWW_year2[510913] = 1.0
# Sample 176
DWW_year2[513795] = 2.5
DWW_year2[513796] = 1.5
DWW_year2[513797] = 2.0
DWW_year2[513798] = 1.5
DWW_year2[513800] = 2.0
DWW_year2[513801] = 6.0
DWW_year2[513802] = 7.0
DWW_year2[513803] = 2.5
DWW_year2[513804] = 7.0
DWW_year2[513805] = 6.5
DWW_year2[513809] = 3.5
DWW_year2[513812] = 1.5
DWW_year2[513813] = 1.5
DWW_year2[513814] = 0.5
DWW_year2[513817] = 0.5
DWW_year2[513818] = 4.5
DWW_year2[513819] = 5.0
DWW_year2[513820] = 1.5
DWW_year2[513821] = 9.0
DWW_year2[513822] = 0.5
DWW_year2[513824] = 1.5
DWW_year2[513828] = 1.0
DWW_year2[513829] = 2.0
DWW_year2[513835] = 1.0
DWW_year2[513836] = 3.5
DWW_year2[513837] = 5.0
DWW_year2[513838] = 8.5
DWW_year2[513839] = 15.0
DWW_year2[513840] = 16.5
DWW_year2[513841] = 10.5
DWW_year2[513842] = 13.5
DWW_year2[513843] = 3.0
DWW_year2[513846] = 7.0
DWW_year2[513847] = 7.5
DWW_year2[513848] = 9.0
DWW_year2[513849] = 11.0
DWW_year2[513850] = 4.0
DWW_year2[513851] = 1.0
DWW_year2[513855] = 0.5
DWW_year2[513860] = 0.5
DWW_year2[513862] = 0.5
DWW_year2[513863] = 0.5
DWW_year2[513865] = 0.5
DWW_year2[513867] = 0.5
DWW_year2[513868] = 2.5
DWW_year2[513869] = 0.5
DWW_year2[513872] = 4.0
DWW_year2[513873] = 2.0
DWW_year2[513875] = 0.5
DWW_year2[513876] = 3.0
DWW_year2[513877] = 1.5
DWW_year2[513878] = 0.5
DWW_year2[513881] = 0.5
DWW_year2[513882] = 0.5
DWW_year2[513884] = 5.0
DWW_year2[513885] = 2.0
DWW_year2[513886] = 0.5
DWW_year2[513889] = 4.5
DWW_year2[513890] = 3.0
DWW_year2[513891] = 1.0
DWW_year2[513892] = 0.5
DWW_year2[513896] = 1.0
DWW_year2[513899] = 14.0
DWW_year2[513900] = 8.5
DWW_year2[513901] = 7.0
DWW_year2[513902] = 7.0
DWW_year2[513903] = 7.0
DWW_year2[513904] = 7.0
DWW_year2[513905] = 7.0
DWW_year2[513906] = 7.0
DWW_year2[513907] = 7.0
DWW_year2[513908] = 6.5
DWW_year2[513909] = 7.0
DWW_year2[513910] = 9.5
DWW_year2[513911] = 12.0
DWW_year2[513912] = 6.5
DWW_year2[513913] = 5.0
DWW_year2[513920] = 1.0
DWW_year2[513921] = 2.0
DWW_year2[513923] = 3.5
DWW_year2[513924] = 9.5
DWW_year2[513925] = 7.0
DWW_year2[513926] = 7.0
DWW_year2[513927] = 7.0
DWW_year2[513928] = 6.5
DWW_year2[513929] = 7.0
DWW_year2[513930] = 7.0
DWW_year2[513931] = 6.5
DWW_year2[513932] = 7.0
DWW_year2[513933] = 5.0
DWW_year2[513938] = 0.5
DWW_year2[513941] = 0.5
DWW_year2[513942] = 1.0
DWW_year2[513944] = 0.5
# Sample 177
DWW_year2[513976] = 5.0
DWW_year2[513977] = 2.5
DWW_year2[514016] = 3.0
DWW_year2[514018] = 11.5
DWW_year2[514019] = 5.0
DWW_year2[514020] = 4.0
DWW_year2[514021] = 0.5
# Sample 178
DWW_year2[518070] = 1.0
DWW_year2[518071] = 3.0
DWW_year2[518072] = 3.0
DWW_year2[518074] = 3.0
DWW_year2[518075] = 0.5
DWW_year2[518078] = 1.0
DWW_year2[518079] = 4.0
DWW_year2[518080] = 7.0
DWW_year2[518081] = 3.0
DWW_year2[518083] = 5.5
DWW_year2[518084] = 4.0
DWW_year2[518085] = 0.5
DWW_year2[518086] = 1.0
DWW_year2[518087] = 2.0
DWW_year2[518094] = 1.0
DWW_year2[518095] = 2.0
DWW_year2[518102] = 1.0
DWW_year2[518103] = 2.0
DWW_year2[518110] = 1.0
DWW_year2[518111] = 1.5
DWW_year2[518121] = 3.0
DWW_year2[518122] = 2.5
DWW_year2[518125] = 6.0
DWW_year2[518143] = 2.5
DWW_year2[518144] = 1.5
DWW_year2[518146] = 8.5
DWW_year2[518147] = 8.0
DWW_year2[518148] = 7.5
DWW_year2[518149] = 9.0
DWW_year2[518150] = 8.0
DWW_year2[518151] = 6.5
DWW_year2[518152] = 7.5
DWW_year2[518153] = 7.0
DWW_year2[518154] = 7.0
DWW_year2[518155] = 7.0
DWW_year2[518156] = 1.0
DWW_year2[518157] = 2.5
DWW_year2[518158] = 0.5
DWW_year2[518160] = 1.5
DWW_year2[518164] = 10.0
DWW_year2[518165] = 8.0
DWW_year2[518166] = 7.5
DWW_year2[518167] = 7.0
DWW_year2[518168] = 7.0
DWW_year2[518169] = 7.0
DWW_year2[518170] = 7.0
DWW_year2[518171] = 7.0
DWW_year2[518172] = 7.0
DWW_year2[518173] = 7.0
DWW_year2[518174] = 7.0
DWW_year2[518175] = 6.5
DWW_year2[518176] = 6.5
DWW_year2[518196] = 1.5
# Sample 179
DWW_year2[518222] = 0.5
DWW_year2[518223] = 2.5
DWW_year2[518239] = 1.0
DWW_year2[518240] = 0.5
DWW_year2[518241] = 1.0
DWW_year2[518242] = 1.0
DWW_year2[518255] = 2.0
DWW_year2[518256] = 18.0
DWW_year2[518257] = 7.0
DWW_year2[518258] = 7.0
DWW_year2[518259] = 6.5
DWW_year2[518260] = 7.0
DWW_year2[518261] = 7.0
DWW_year2[518262] = 6.5
DWW_year2[518263] = 7.0
DWW_year2[518264] = 6.5
DWW_year2[518265] = 7.0
DWW_year2[518266] = 6.5
DWW_year2[518267] = 7.0
DWW_year2[518268] = 6.5
DWW_year2[518269] = 7.0
DWW_year2[518270] = 1.5
DWW_year2[518276] = 1.0
DWW_year2[518277] = 1.0
DWW_year2[518278] = 0.5
DWW_year2[518281] = 0.5
# Sample 180
DWW_year2[519480] = 1.0
DWW_year2[519481] = 2.5
DWW_year2[519482] = 6.5
DWW_year2[519483] = 2.0
DWW_year2[519486] = 1.0
DWW_year2[519488] = 8.0
DWW_year2[519489] = 11.0
DWW_year2[519490] = 6.5
DWW_year2[519491] = 3.5
DWW_year2[519492] = 3.0
DWW_year2[519494] = 1.0
DWW_year2[519495] = 1.5
DWW_year2[519496] = 1.5
DWW_year2[519497] = 1.5
DWW_year2[519498] = 7.5
DWW_year2[519499] = 17.5
DWW_year2[519500] = 7.0
DWW_year2[519503] = 8.5
DWW_year2[519504] = 7.0
DWW_year2[519505] = 13.0
DWW_year2[519506] = 8.5
DWW_year2[519507] = 9.5
DWW_year2[519508] = 2.5
DWW_year2[519509] = 9.5
DWW_year2[519510] = 5.0
DWW_year2[519511] = 4.5
DWW_year2[519512] = 4.0
DWW_year2[519513] = 0.5
DWW_year2[519514] = 0.5
DWW_year2[519515] = 2.5
DWW_year2[519517] = 2.0
DWW_year2[519518] = 5.5
DWW_year2[519521] = 1.0
DWW_year2[519522] = 6.5
DWW_year2[519523] = 2.5
DWW_year2[519525] = 3.0
DWW_year2[519526] = 2.5
DWW_year2[519527] = 0.5
DWW_year2[519529] = 3.0
DWW_year2[519530] = 0.5
DWW_year2[519532] = 0.5
DWW_year2[519533] = 0.5
DWW_year2[519538] = 3.0
DWW_year2[519539] = 3.5
DWW_year2[519540] = 1.0
DWW_year2[519546] = 6.0
DWW_year2[519547] = 4.0
DWW_year2[519548] = 0.5
DWW_year2[519556] = 6.5
DWW_year2[519557] = 14.5
DWW_year2[519558] = 5.0
DWW_year2[519565] = 2.0
DWW_year2[519569] = 1.5
DWW_year2[519571] = 1.5
DWW_year2[519579] = 3.0
# Sample 181
DWW_year2[520390] = 0.5
DWW_year2[520391] = 1.0
DWW_year2[520392] = 1.5
DWW_year2[520395] = 7.0
DWW_year2[520399] = 1.5
DWW_year2[520400] = 1.5
DWW_year2[520401] = 1.0
DWW_year2[520406] = 3.5
DWW_year2[520407] = 4.0
DWW_year2[520408] = 1.5
DWW_year2[520410] = 0.5
DWW_year2[520412] = 6.5
DWW_year2[520413] = 1.0
DWW_year2[520414] = 3.0
DWW_year2[520415] = 2.5
DWW_year2[520416] = 3.0
DWW_year2[520423] = 6.5
DWW_year2[520424] = 5.0
DWW_year2[520431] = 1.0
DWW_year2[520432] = 2.0
DWW_year2[520456] = 2.0
DWW_year2[520457] = 3.5
DWW_year2[520461] = 1.0
DWW_year2[520463] = 0.5
DWW_year2[520464] = 2.0
DWW_year2[520465] = 0.5
DWW_year2[520466] = 0.5
# Sample 182
DWW_year2[520696] = 0.5
DWW_year2[520697] = 2.0
DWW_year2[520698] = 0.5
DWW_year2[520699] = 0.5
DWW_year2[520700] = 1.0
DWW_year2[520701] = 6.5
DWW_year2[520755] = 0.5
DWW_year2[520761] = 0.5
DWW_year2[520762] = 1.0
DWW_year2[520763] = 3.0
DWW_year2[520764] = 4.5
# Sample 183
DWW_year2[523353] = 0.5
DWW_year2[523355] = 4.0
DWW_year2[523356] = 2.0
DWW_year2[523359] = 4.0
DWW_year2[523360] = 6.5
DWW_year2[523361] = 6.5
DWW_year2[523362] = 6.5
DWW_year2[523363] = 4.5
DWW_year2[523364] = 2.0
DWW_year2[523368] = 1.0
DWW_year2[523369] = 6.5
DWW_year2[523370] = 3.5
DWW_year2[523371] = 1.0
DWW_year2[523372] = 2.0
DWW_year2[523373] = 3.0
DWW_year2[523374] = 1.0
DWW_year2[523377] = 3.0
DWW_year2[523379] = 1.0
DWW_year2[523380] = 2.0
DWW_year2[523387] = 1.0
DWW_year2[523388] = 2.0
DWW_year2[523395] = 1.0
DWW_year2[523396] = 1.5
DWW_year2[523400] = 3.0
DWW_year2[523412] = 6.0
DWW_year2[523413] = 0.5
DWW_year2[523430] = 0.5
DWW_year2[523431] = 2.5
DWW_year2[523438] = 0.5
DWW_year2[523439] = 2.0
# Sample 184
DWW_year2[523673] = 10.5
DWW_year2[523674] = 3.5
DWW_year2[523675] = 3.5
DWW_year2[523676] = 1.5
DWW_year2[523692] = 3.0
DWW_year2[523693] = 3.5
DWW_year2[523748] = 1.0
DWW_year2[523749] = 1.0

In [7]:

    

for e,(start,end) in enumerate(DWsamples_year2):
    fig,ax = plt.subplots(figsize=(20,4))
    fig.suptitle("DWsamples_year2[%i]" % e)
    ax.plot(range(start,end),WHW_year2["AVG_RATE"][start:end],marker='o')
    ax.plot(range(start,end),DWE_year2["I"][start:end],marker='o')
    ax.set_ylim([0,7])
    lo = np.around(start - 5, -1)
    hi = np.around(end + 5, -1)
    ax.set_xlim([lo,hi])
    ax.set_xticks(np.arange(lo, hi, 10))
    ax.xaxis.set_major_formatter(tck.ScalarFormatter(useOffset=False))
    ax.minorticks_on()
    ax.set_xticks(np.arange(lo, hi, 2), minor = True)
    ax.grid()
    ax.grid(which='minor', axis='x')
    plt.show()


    

In [8]:

    

# Sample 0
DWW_year2[3999] = 2.5
DWW_year2[4000] = 0.5
DWW_year2[4007] = 2.5
DWW_year2[4008] = 0.5
DWW_year2[4015] = 2.5
DWW_year2[4016] = 0.5
DWW_year2[4023] = 2.5
DWW_year2[4024] = 0.5
DWW_year2[4031] = 2.5
DWW_year2[4032] = 0.5
DWW_year2[4039] = 2.5
DWW_year2[4074] = 2.0
DWW_year2[4075] = 1.0
DWW_year2[4082] = 2.0
DWW_year2[4083] = 1.0
DWW_year2[4131] = 2.0
DWW_year2[4132] = 1.0
# Sample 1
DWW_year2[9182] = 2.0
DWW_year2[9183] = 1.0
DWW_year2[9190] = 2.0
DWW_year2[9191] = 1.0
DWW_year2[9198] = 2.0
DWW_year2[9199] = 1.0
DWW_year2[9206] = 2.0
DWW_year2[9207] = 1.0
DWW_year2[9214] = 2.0
DWW_year2[9215] = 1.0
DWW_year2[9222] = 2.0
DWW_year2[9223] = 1.0
DWW_year2[9254] = 2.5
DWW_year2[9255] = 0.5
DWW_year2[9262] = 2.5
DWW_year2[9263] = 0.5
# Sample 2
DWW_year2[9451] = 0.5
DWW_year2[9452] = 2.5
# Sample 3
DWW_year2[16459] = 0.5
DWW_year2[16460] = 2.5
DWW_year2[16467] = 1.0
DWW_year2[16468] = 2.0
DWW_year2[16475] = 1.0
DWW_year2[16476] = 2.0
DWW_year2[16483] = 0.5
DWW_year2[16484] = 2.5
DWW_year2[16491] = 1.0
DWW_year2[16492] = 2.0
DWW_year2[16499] = 1.0
DWW_year2[16500] = 2.0
DWW_year2[16528] = 0.5
DWW_year2[16529] = 2.5
DWW_year2[16536] = 0.5
DWW_year2[16537] = 2.5
# Sample 4
DWW_year2[16647] = 1.0
DWW_year2[16648] = 2.0
# Sample 5
DWW_year2[20785] = 2.0
DWW_year2[20786] = 0.5
DWW_year2[20793] = 2.5
DWW_year2[20794] = 0.5
DWW_year2[20801] = 2.5
DWW_year2[20802] = 0.5
DWW_year2[20809] = 2.5
DWW_year2[20810] = 0.5
DWW_year2[20817] = 2.0
DWW_year2[20818] = 1.0
DWW_year2[20825] = 2.0
DWW_year2[20826] = 0.5
DWW_year2[20864] = 1.0
DWW_year2[20865] = 2.0
DWW_year2[20872] = 1.0
DWW_year2[20873] = 2.0
# Sample 6
DWW_year2[21189] = 0.5
DWW_year2[21190] = 2.5
# Sample 7
DWW_year2[25415] = 1.0
DWW_year2[25416] = 2.0
DWW_year2[25423] = 1.0
DWW_year2[25424] = 2.0
DWW_year2[25431] = 1.0
DWW_year2[25432] = 2.0
DWW_year2[25439] = 1.0
DWW_year2[25440] = 2.0
DWW_year2[25447] = 1.0
DWW_year2[25448] = 2.0
DWW_year2[25455] = 1.0
DWW_year2[25456] = 2.0
DWW_year2[25490] = 1.0
DWW_year2[25491] = 2.0
DWW_year2[25498] = 1.0
DWW_year2[25499] = 2.0
# Sample 8
DWW_year2[25548] = 1.0
DWW_year2[25549] = 2.0
# Sample 9
DWW_year2[28539] = 2.5
DWW_year2[28540] = 0.5
DWW_year2[28547] = 2.5
DWW_year2[28548] = 0.5
DWW_year2[28555] = 2.5
DWW_year2[28556] = 0.5
DWW_year2[28563] = 2.5
DWW_year2[28564] = 0.5
DWW_year2[28571] = 2.5
DWW_year2[28572] = 0.5
DWW_year2[28579] = 2.5
DWW_year2[28580] = 0.5
DWW_year2[28615] = 0.5
DWW_year2[28616] = 2.0
DWW_year2[28617] = 0.5
DWW_year2[28623] = 0.5
DWW_year2[28624] = 2.0
DWW_year2[28625] = 0.5
DWW_year2[28680] = 2.5
DWW_year2[28681] = 0.5
# Sample 10
DWW_year2[34252] = 2.5
DWW_year2[34253] = 0.5
DWW_year2[34259] = 2.5
DWW_year2[34260] = 0.5
DWW_year2[34268] = 2.5
DWW_year2[34269] = 0.5
DWW_year2[34275] = 0.5
DWW_year2[34276] = 2.5
DWW_year2[34283] = 0.5
DWW_year2[34284] = 2.5
DWW_year2[34291] = 0.5
DWW_year2[34292] = 2.0
DWW_year2[34293] = 0.5
DWW_year2[34319] = 2.0
DWW_year2[34320] = 1.0
DWW_year2[34327] = 2.0
DWW_year2[34328] = 1.0
# Sample 11
DWW_year2[34403] = 1.5
DWW_year2[34404] = 1.5
# Sample 12
DWW_year2[38643] = 1.5
DWW_year2[38644] = 1.5
DWW_year2[38651] = 1.0
DWW_year2[38652] = 2.0
DWW_year2[38659] = 1.0
DWW_year2[38660] = 2.0
DWW_year2[38667] = 1.0
DWW_year2[38668] = 2.0
DWW_year2[38675] = 1.0
DWW_year2[38676] = 2.0
DWW_year2[38710] = 1.0
DWW_year2[38711] = 2.0
DWW_year2[38718] = 1.5
DWW_year2[38719] = 2.0
# Sample 13
DWW_year2[38764] = 1.0
DWW_year2[38765] = 1.5
# Sample 14
DWW_year2[44220] = 0.5
DWW_year2[44221] = 2.0
DWW_year2[44222] = 0.5
DWW_year2[44228] = 0.5
DWW_year2[44229] = 2.0
DWW_year2[44230] = 0.5
DWW_year2[44237] = 2.5
DWW_year2[44238] = 0.5
DWW_year2[44245] = 2.5
DWW_year2[44246] = 0.5
DWW_year2[44253] = 2.5
DWW_year2[44254] = 0.5
DWW_year2[44261] = 2.5
DWW_year2[44262] = 0.5
DWW_year2[44298] = 2.0
DWW_year2[44299] = 1.0
DWW_year2[44306] = 1.0
DWW_year2[44307] = 2.0
# Sample 15
DWW_year2[44365] = 1.0
DWW_year2[44366] = 2.0
# Sample 16
DWW_year2[47163] = 0.5
DWW_year2[47164] = 2.0
DWW_year2[47165] = 0.5
DWW_year2[47171] = 0.5
DWW_year2[47172] = 2.0
DWW_year2[47173] = 0.5
DWW_year2[47179] = 0.5
DWW_year2[47180] = 2.5
DWW_year2[47187] = 0.5
DWW_year2[47188] = 2.5
DWW_year2[47195] = 0.5
DWW_year2[47196] = 2.5
DWW_year2[47203] = 0.5
DWW_year2[47204] = 2.5
DWW_year2[47235] = 2.5
DWW_year2[47236] = 0.5
DWW_year2[47243] = 2.5
DWW_year2[47244] = 0.5
# Sample 17
DWW_year2[54123] = 2.0
DWW_year2[54124] = 1.0
DWW_year2[54131] = 2.0
DWW_year2[54132] = 1.0
DWW_year2[54139] = 1.5
DWW_year2[54140] = 1.5
DWW_year2[54147] = 1.5
DWW_year2[54148] = 1.5
DWW_year2[54155] = 1.5
DWW_year2[54156] = 1.5
DWW_year2[54163] = 1.5
DWW_year2[54164] = 1.5
DWW_year2[54198] = 1.0
DWW_year2[54199] = 2.0
DWW_year2[54206] = 1.0
DWW_year2[54207] = 1.5
# Sample 18
DWW_year2[54282] = 2.5
DWW_year2[54283] = 0.5
# Sample 19
DWW_year2[58222] = 2.5
DWW_year2[58223] = 0.5
DWW_year2[58230] = 2.0
DWW_year2[58231] = 1.0
DWW_year2[58238] = 2.0
DWW_year2[58239] = 1.0
DWW_year2[58246] = 2.0
DWW_year2[58247] = 1.0
DWW_year2[58254] = 2.0
DWW_year2[58255] = 1.0
DWW_year2[58262] = 2.0
DWW_year2[58263] = 1.0
DWW_year2[58298] = 2.5
DWW_year2[58299] = 0.5
DWW_year2[58306] = 2.0
DWW_year2[58307] = 1.0
# Sample 20
DWW_year2[58501] = 1.0
DWW_year2[58502] = 2.0
# Sample 21
DWW_year2[62818] = 2.5
DWW_year2[62819] = 0.5
DWW_year2[62826] = 2.5
DWW_year2[62827] = 0.5
DWW_year2[62834] = 2.5
DWW_year2[62835] = 0.5
DWW_year2[62842] = 2.5
DWW_year2[62843] = 0.5
DWW_year2[62850] = 2.5
DWW_year2[62851] = 0.5
DWW_year2[62858] = 2.5
DWW_year2[62859] = 0.5
DWW_year2[62891] = 2.0
DWW_year2[62892] = 1.0
DWW_year2[62899] = 2.0
DWW_year2[62900] = 1.0
# Sample 22
DWW_year2[62970] = 0.5
DWW_year2[62971] = 2.5
# Sample 23
DWW_year2[67394] = 0.5
DWW_year2[67395] = 2.5
DWW_year2[67402] = 0.5
DWW_year2[67403] = 2.5
DWW_year2[67410] = 0.5
DWW_year2[67411] = 2.5
DWW_year2[67418] = 0.5
DWW_year2[67419] = 2.5
DWW_year2[67426] = 0.5
DWW_year2[67427] = 2.5
DWW_year2[67434] = 1.0
DWW_year2[67435] = 2.0
DWW_year2[67454] = 0.5
DWW_year2[67455] = 2.0
DWW_year2[67462] = 0.5
DWW_year2[67463] = 2.0
DWW_year2[67464] = 0.5
# Sample 24
DWW_year2[67539] = 0.5
DWW_year2[67540] = 2.5
DWW_year2[67547] = 0.5
DWW_year2[67548] = 2.5
DWW_year2[67555] = 0.5
DWW_year2[67556] = 2.0
DWW_year2[67563] = 1.0
DWW_year2[67564] = 2.0
DWW_year2[67595] = 2.0
DWW_year2[67596] = 1.0
DWW_year2[67603] = 1.5
DWW_year2[67604] = 1.5
# Sample 25
DWW_year2[68226] = 1.5
DWW_year2[68227] = 1.5
# Sample 26
DWW_year2[73161] = 2.0
DWW_year2[73162] = 1.0
DWW_year2[73169] = 2.0
DWW_year2[73170] = 1.0
DWW_year2[73177] = 2.0
DWW_year2[73178] = 1.0
DWW_year2[73185] = 2.0
DWW_year2[73186] = 1.0
DWW_year2[73193] = 2.0
DWW_year2[73194] = 1.0
DWW_year2[73201] = 2.0
DWW_year2[73202] = 1.0
DWW_year2[73234] = 0.5
DWW_year2[73235] = 2.5
DWW_year2[73242] = 0.5
DWW_year2[73243] = 2.5
# Sample 27
DWW_year2[73336] = 1.0
DWW_year2[73337] = 2.0
# Sample 28
DWW_year2[77625] = 2.5
DWW_year2[77626] = 0.5
DWW_year2[77633] = 2.5
DWW_year2[77634] = 0.5
DWW_year2[77641] = 2.5
DWW_year2[77642] = 0.5
DWW_year2[77649] = 2.5
DWW_year2[77650] = 0.5
DWW_year2[77657] = 2.5
DWW_year2[77658] = 0.5
DWW_year2[77665] = 2.0
DWW_year2[77666] = 1.0
DWW_year2[77683] = 2.0
DWW_year2[77684] = 1.0
DWW_year2[77691] = 2.0
DWW_year2[77692] = 1.0
# Sample 29
DWW_year2[78329] = 1.5
DWW_year2[78330] = 1.5
DWW_year2[78337] = 1.5
DWW_year2[78338] = 1.5
DWW_year2[78345] = 1.5
DWW_year2[78346] = 1.5
DWW_year2[78353] = 1.5
DWW_year2[78354] = 1.5
DWW_year2[78376] = 1.0
DWW_year2[78377] = 2.0
DWW_year2[78384] = 1.0
DWW_year2[78385] = 2.0
# Sample 30
DWW_year2[84329] = 2.0
DWW_year2[84330] = 1.0
DWW_year2[84337] = 2.0
DWW_year2[84338] = 1.0
DWW_year2[84345] = 2.0
DWW_year2[84346] = 1.0
DWW_year2[84353] = 1.5
DWW_year2[84354] = 1.0
DWW_year2[84361] = 2.0
DWW_year2[84362] = 1.0
DWW_year2[84369] = 2.0
DWW_year2[84370] = 1.0
DWW_year2[84403] = 0.5
DWW_year2[84404] = 2.0
DWW_year2[84405] = 0.5
DWW_year2[84412] = 2.5
DWW_year2[84413] = 0.5
# Sample 31
DWW_year2[84472] = 2.0
DWW_year2[84473] = 1.0
# Sample 32
DWW_year2[87601] = 0.5
DWW_year2[87602] = 2.0
DWW_year2[87603] = 0.5
DWW_year2[87610] = 2.5
DWW_year2[87611] = 0.5
DWW_year2[87618] = 2.5
DWW_year2[87619] = 0.5
DWW_year2[87626] = 2.5
DWW_year2[87627] = 0.5
DWW_year2[87634] = 2.5
DWW_year2[87635] = 0.5
DWW_year2[87642] = 2.5
DWW_year2[87643] = 0.5
DWW_year2[87666] = 2.5
DWW_year2[87667] = 0.5
DWW_year2[87674] = 2.5
DWW_year2[87675] = 0.5
# Sample 33
DWW_year2[87750] = 2.0
DWW_year2[87751] = 1.0
# Sample 34
DWW_year2[91940] = 2.5
DWW_year2[91941] = 0.5
DWW_year2[91948] = 2.5
DWW_year2[91949] = 0.5
DWW_year2[91956] = 2.5
DWW_year2[91957] = 0.5
DWW_year2[91964] = 2.5
DWW_year2[91965] = 0.5
DWW_year2[91971] = 0.5
DWW_year2[91972] = 2.0
DWW_year2[91973] = 0.5
DWW_year2[91979] = 0.5
DWW_year2[91980] = 2.0
DWW_year2[91981] = 0.5
DWW_year2[92012] = 1.0
DWW_year2[92013] = 2.0
DWW_year2[92020] = 0.5
DWW_year2[92021] = 2.5
# Sample 35
DWW_year2[92614] = 1.5
DWW_year2[92615] = 1.5
DWW_year2[92623] = 2.5
DWW_year2[92624] = 0.5
DWW_year2[92631] = 2.0
DWW_year2[92632] = 1.0
DWW_year2[92639] = 1.5
DWW_year2[92640] = 1.0
DWW_year2[92674] = 2.5
DWW_year2[92675] = 0.5
DWW_year2[92682] = 2.0
DWW_year2[92683] = 1.0
# Sample 36
DWW_year2[98640] = 0.5
DWW_year2[98641] = 2.5
DWW_year2[98648] = 0.5
DWW_year2[98649] = 2.5
DWW_year2[98656] = 0.5
DWW_year2[98657] = 2.5
DWW_year2[98664] = 0.5
DWW_year2[98665] = 2.5
DWW_year2[98672] = 0.5
DWW_year2[98673] = 2.5
DWW_year2[98680] = 0.5
DWW_year2[98681] = 2.5
DWW_year2[98703] = 0.5
DWW_year2[98704] = 2.5
DWW_year2[98711] = 0.5
DWW_year2[98712] = 2.5
# Sample 37
DWW_year2[98882] = 2.0
DWW_year2[98883] = 1.0
# Sample 38
DWW_year2[104801] = 0.5
DWW_year2[104802] = 2.5
DWW_year2[104809] = 0.5
DWW_year2[104810] = 2.5
DWW_year2[104817] = 1.0
DWW_year2[104818] = 2.0
DWW_year2[104825] = 0.5
DWW_year2[104826] = 2.5
DWW_year2[104833] = 1.0
DWW_year2[104834] = 2.0
DWW_year2[104841] = 0.5
DWW_year2[104842] = 2.5
DWW_year2[104866] = 1.5
DWW_year2[104867] = 1.5
DWW_year2[104874] = 1.5
DWW_year2[104875] = 1.0
# Sample 39
DWW_year2[105030] = 1.0
DWW_year2[105031] = 2.0
# Sample 40
DWW_year2[109179] = 1.0
DWW_year2[109180] = 2.0
DWW_year2[109187] = 1.0
DWW_year2[109188] = 2.0
DWW_year2[109195] = 1.0
DWW_year2[109196] = 2.0
DWW_year2[109203] = 1.0
DWW_year2[109204] = 2.0
DWW_year2[109211] = 0.5
DWW_year2[109212] = 2.5
DWW_year2[109219] = 0.5
DWW_year2[109220] = 2.5
DWW_year2[109241] = 0.5
DWW_year2[109242] = 2.0
DWW_year2[109249] = 0.5
DWW_year2[109250] = 2.5
# Sample 41
DWW_year2[109291] = 0.5
DWW_year2[109292] = 2.5
DWW_year2[109299] = 0.5
DWW_year2[109300] = 2.5
DWW_year2[109307] = 0.5
DWW_year2[109308] = 2.0
DWW_year2[109315] = 1.0
DWW_year2[109316] = 2.0
DWW_year2[109345] = 2.5
DWW_year2[109346] = 0.5
DWW_year2[109353] = 2.5
DWW_year2[109354] = 0.5
# Sample 42
DWW_year2[116560] = 2.0
DWW_year2[116561] = 1.0
DWW_year2[116567] = 0.5
DWW_year2[116568] = 2.0
DWW_year2[116569] = 0.5
DWW_year2[116576] = 2.0
DWW_year2[116577] = 1.0
DWW_year2[116584] = 2.0
DWW_year2[116585] = 1.0
DWW_year2[116592] = 2.0
DWW_year2[116593] = 1.0
DWW_year2[116600] = 2.0
DWW_year2[116601] = 1.0
DWW_year2[116635] = 2.5
DWW_year2[116636] = 0.5
DWW_year2[116643] = 2.0
DWW_year2[116644] = 1.0
# Sample 43
DWW_year2[117234] = 1.0
DWW_year2[117235] = 2.0
DWW_year2[117242] = 0.5
DWW_year2[117243] = 2.5
DWW_year2[117250] = 0.5
DWW_year2[117251] = 2.5
DWW_year2[117258] = 1.0
DWW_year2[117259] = 2.0
DWW_year2[117286] = 1.5
DWW_year2[117287] = 1.5
DWW_year2[117294] = 1.0
DWW_year2[117295] = 2.0
# Sample 44
DWW_year2[120223] = 2.0
DWW_year2[120224] = 1.0
DWW_year2[120231] = 2.0
DWW_year2[120232] = 1.0
DWW_year2[120239] = 2.0
DWW_year2[120240] = 1.0
DWW_year2[120247] = 2.0
DWW_year2[120248] = 1.0
DWW_year2[120255] = 2.5
DWW_year2[120256] = 0.5
DWW_year2[120263] = 2.5
DWW_year2[120264] = 0.5
DWW_year2[120285] = 2.5
DWW_year2[120286] = 0.5
DWW_year2[120293] = 2.5
DWW_year2[120294] = 0.5
# Sample 45
DWW_year2[120398] = 0.5
DWW_year2[120399] = 2.5
DWW_year2[120406] = 0.5
DWW_year2[120407] = 2.5
DWW_year2[120414] = 1.0
DWW_year2[120415] = 2.0
DWW_year2[120422] = 1.0
DWW_year2[120423] = 2.0
DWW_year2[120449] = 1.5
DWW_year2[120450] = 1.5
DWW_year2[120457] = 1.5
DWW_year2[120458] = 1.5
# Sample 46
DWW_year2[125931] = 2.0
DWW_year2[125932] = 1.0
DWW_year2[125939] = 2.0
DWW_year2[125940] = 1.0
DWW_year2[125947] = 2.0
DWW_year2[125948] = 1.0
DWW_year2[125955] = 2.0
DWW_year2[125956] = 1.0
DWW_year2[125963] = 1.5
DWW_year2[125964] = 1.5
DWW_year2[125971] = 1.5
DWW_year2[125972] = 1.5
DWW_year2[126005] = 0.5
DWW_year2[126006] = 2.5
DWW_year2[126013] = 0.5
DWW_year2[126014] = 2.0
DWW_year2[126015] = 0.5
# Sample 47
DWW_year2[126285] = 2.5
DWW_year2[126286] = 0.5
DWW_year2[126293] = 2.5
DWW_year2[126294] = 0.5
DWW_year2[126301] = 2.5
DWW_year2[126302] = 0.5
DWW_year2[126309] = 2.5
DWW_year2[126310] = 0.5
DWW_year2[126339] = 2.5
DWW_year2[126340] = 0.5
DWW_year2[126347] = 2.5
DWW_year2[126348] = 0.5
# Sample 48
DWW_year2[130355] = 0.5
DWW_year2[130356] = 2.0
DWW_year2[130357] = 0.5
DWW_year2[130364] = 2.5
DWW_year2[130371] = 0.5
DWW_year2[130372] = 2.5
DWW_year2[130379] = 0.5
DWW_year2[130380] = 2.5
DWW_year2[130387] = 0.5
DWW_year2[130388] = 2.5
DWW_year2[130395] = 0.5
DWW_year2[130396] = 2.5
DWW_year2[130427] = 0.5
DWW_year2[130428] = 2.5
DWW_year2[130435] = 0.5
DWW_year2[130436] = 2.0
DWW_year2[130437] = 0.5
# Sample 49
DWW_year2[130480] = 2.0
DWW_year2[130481] = 1.0
# Sample 50
DWW_year2[133640] = 0.5
DWW_year2[133641] = 2.5
DWW_year2[133648] = 0.5
DWW_year2[133649] = 2.5
DWW_year2[133656] = 0.5
DWW_year2[133657] = 2.5
DWW_year2[133664] = 0.5
DWW_year2[133665] = 2.5
DWW_year2[133672] = 0.5
DWW_year2[133673] = 2.5
DWW_year2[133680] = 0.5
DWW_year2[133681] = 2.5
DWW_year2[133690] = 0.5
DWW_year2[133691] = 2.5
DWW_year2[133698] = 0.5
DWW_year2[133699] = 2.5
# Sample 51
DWW_year2[133743] = 1.5
DWW_year2[133744] = 1.5
# Sample 52
DWW_year2[137665] = 1.0
DWW_year2[137666] = 2.0
DWW_year2[137674] = 1.0
DWW_year2[137675] = 2.0
DWW_year2[137681] = 1.0
DWW_year2[137682] = 1.5
DWW_year2[137690] = 1.5
DWW_year2[137691] = 1.5
DWW_year2[137698] = 1.5
DWW_year2[137699] = 1.5
DWW_year2[137706] = 1.0
DWW_year2[137707] = 2.0
DWW_year2[137735] = 0.5
DWW_year2[137736] = 2.5
DWW_year2[137743] = 0.5
DWW_year2[137744] = 2.5
# Sample 53
DWW_year2[141623] = 1.5
DWW_year2[141624] = 1.5
DWW_year2[141631] = 1.5
DWW_year2[141632] = 1.5
DWW_year2[141639] = 1.5
DWW_year2[141640] = 1.5
DWW_year2[141647] = 1.5
DWW_year2[141648] = 1.5
DWW_year2[141655] = 2.0
DWW_year2[141656] = 1.0
DWW_year2[141663] = 1.5
DWW_year2[141664] = 1.5
DWW_year2[141692] = 1.0
DWW_year2[141693] = 2.0
DWW_year2[141700] = 1.0
DWW_year2[141701] = 2.0
# Sample 54
DWW_year2[152327] = 1.0
DWW_year2[152328] = 2.0
DWW_year2[152335] = 1.0
DWW_year2[152336] = 2.0
DWW_year2[152343] = 1.0
DWW_year2[152344] = 2.0
DWW_year2[152351] = 1.0
DWW_year2[152352] = 2.0
DWW_year2[152359] = 1.0
DWW_year2[152360] = 2.0
DWW_year2[152367] = 1.0
DWW_year2[152368] = 2.0
DWW_year2[152391] = 1.5
DWW_year2[152392] = 1.5
DWW_year2[152399] = 1.5
DWW_year2[152400] = 1.5
# Sample 55
DWW_year2[152466] = 0.5
DWW_year2[152467] = 2.5
DWW_year2[152474] = 0.5
DWW_year2[152475] = 2.5
DWW_year2[152482] = 1.0
DWW_year2[152483] = 2.0
DWW_year2[152490] = 0.5
DWW_year2[152491] = 2.5
DWW_year2[152510] = 0.5
DWW_year2[152511] = 2.5
DWW_year2[152518] = 0.5
DWW_year2[152519] = 2.5
# Sample 56
DWW_year2[157591] = 1.5
DWW_year2[157592] = 1.5
DWW_year2[157599] = 1.5
DWW_year2[157600] = 1.5
DWW_year2[157607] = 1.5
DWW_year2[157608] = 1.5
DWW_year2[157615] = 1.5
DWW_year2[157616] = 1.5
DWW_year2[157623] = 1.5
DWW_year2[157624] = 1.5
DWW_year2[157631] = 1.5
DWW_year2[157632] = 1.5
DWW_year2[157662] = 1.5
DWW_year2[157663] = 1.5
DWW_year2[157670] = 1.5
DWW_year2[157671] = 1.5
# Sample 57
DWW_year2[157785] = 1.5
DWW_year2[157786] = 1.5
# Sample 58
DWW_year2[160510] = 2.5
DWW_year2[160511] = 0.5
DWW_year2[160518] = 2.5
DWW_year2[160519] = 0.5
DWW_year2[160526] = 2.5
DWW_year2[160527] = 0.5
DWW_year2[160534] = 2.5
DWW_year2[160535] = 0.5
DWW_year2[160542] = 2.5
DWW_year2[160543] = 0.5
DWW_year2[160550] = 2.5
DWW_year2[160551] = 0.5
DWW_year2[160566] = 2.0
DWW_year2[160567] = 1.0
DWW_year2[160574] = 2.0
DWW_year2[160575] = 1.0
# Sample 59
DWW_year2[160637] = 1.0
DWW_year2[160638] = 2.0
# Sample 60
DWW_year2[167613] = 0.5
DWW_year2[167614] = 2.5
DWW_year2[167621] = 0.5
DWW_year2[167622] = 2.5
DWW_year2[167629] = 0.5
DWW_year2[167630] = 2.5
DWW_year2[167637] = 0.5
DWW_year2[167638] = 2.5
DWW_year2[167645] = 0.5
DWW_year2[167646] = 2.5
DWW_year2[167653] = 0.5
DWW_year2[167654] = 2.5
DWW_year2[167686] = 1.0
DWW_year2[167687] = 2.0
DWW_year2[167694] = 1.0
DWW_year2[167695] = 2.0
DWW_year2[167771] = 1.5
DWW_year2[167772] = 1.5
# Sample 61
DWW_year2[171995] = 2.5
DWW_year2[171996] = 0.5
DWW_year2[172003] = 2.5
DWW_year2[172004] = 0.5
DWW_year2[172011] = 2.5
DWW_year2[172012] = 0.5
DWW_year2[172019] = 2.5
DWW_year2[172020] = 0.5
DWW_year2[172027] = 2.5
DWW_year2[172028] = 0.5
DWW_year2[172035] = 2.5
DWW_year2[172036] = 0.5
DWW_year2[172071] = 1.5
DWW_year2[172072] = 1.5
DWW_year2[172079] = 1.5
DWW_year2[172080] = 1.5
# Sample 62
DWW_year2[173914] = 2.5
DWW_year2[173915] = 0.5
DWW_year2[173922] = 2.5
DWW_year2[173923] = 0.5
DWW_year2[173930] = 2.5
DWW_year2[173931] = 0.5
DWW_year2[173938] = 2.5
DWW_year2[173939] = 0.5
DWW_year2[173946] = 2.5
DWW_year2[173947] = 0.5
DWW_year2[173954] = 2.5
DWW_year2[173955] = 0.5
DWW_year2[173978] = 2.5
DWW_year2[173979] = 0.5
DWW_year2[173986] = 2.5
DWW_year2[173987] = 0.5
# Sample 63
DWW_year2[174054] = 1.0
DWW_year2[174055] = 2.0
# Sample 64
DWW_year2[191354] = 1.0
DWW_year2[191355] = 2.0
DWW_year2[191362] = 1.0
DWW_year2[191363] = 2.0
DWW_year2[191370] = 1.0
DWW_year2[191371] = 2.0
DWW_year2[191378] = 1.0
DWW_year2[191379] = 2.0
DWW_year2[191386] = 1.0
DWW_year2[191387] = 2.0
DWW_year2[191394] = 1.0
DWW_year2[191395] = 2.0
DWW_year2[191412] = 2.5
DWW_year2[191413] = 0.5
DWW_year2[191420] = 2.5
DWW_year2[191421] = 0.5
DWW_year2[191454] = 2.0
DWW_year2[191455] = 1.0
DWW_year2[191462] = 2.0
DWW_year2[191463] = 1.0
DWW_year2[191470] = 2.0
DWW_year2[191471] = 1.0
DWW_year2[191478] = 2.0
DWW_year2[191479] = 1.0
DWW_year2[191504] = 1.5
DWW_year2[191505] = 1.5
DWW_year2[191512] = 1.5
DWW_year2[191513] = 1.5
# Sample 65
DWW_year2[196947] = 0.5
DWW_year2[196948] = 2.5
DWW_year2[196955] = 0.5
DWW_year2[196956] = 2.0
DWW_year2[196957] = 0.5
DWW_year2[196963] = 0.5
DWW_year2[196964] = 2.5
DWW_year2[196971] = 0.5
DWW_year2[196972] = 2.5
DWW_year2[196979] = 0.5
DWW_year2[196980] = 2.5
DWW_year2[196987] = 0.5
DWW_year2[196988] = 2.5
DWW_year2[197018] = 1.0
DWW_year2[197019] = 2.0
DWW_year2[197026] = 1.5
DWW_year2[197027] = 1.5
DWW_year2[197093] = 0.5
DWW_year2[197094] = 2.5
# Sample 66
DWW_year2[203530] = 1.0
DWW_year2[203531] = 2.0
DWW_year2[203538] = 1.0
DWW_year2[203539] = 2.0
DWW_year2[203546] = 0.5
DWW_year2[203547] = 2.5
DWW_year2[203554] = 0.5
DWW_year2[203555] = 2.5
DWW_year2[203562] = 1.0
DWW_year2[203563] = 2.0
DWW_year2[203570] = 1.0
DWW_year2[203571] = 2.0
DWW_year2[203601] = 0.5
DWW_year2[203602] = 2.5
DWW_year2[203609] = 0.5
DWW_year2[203610] = 2.5
# Sample 67
DWW_year2[203663] = 1.0
DWW_year2[203664] = 2.0
# Sample 68
DWW_year2[210031] = 0.5
DWW_year2[210032] = 2.5
DWW_year2[210039] = 0.5
DWW_year2[210040] = 2.5
DWW_year2[210047] = 0.5
DWW_year2[210048] = 2.5
DWW_year2[210055] = 0.5
DWW_year2[210056] = 2.5
DWW_year2[210064] = 0.5
DWW_year2[210065] = 2.5
DWW_year2[210071] = 0.5
DWW_year2[210072] = 2.5
DWW_year2[210097] = 0.5
DWW_year2[210098] = 2.5
DWW_year2[210105] = 0.5
DWW_year2[210106] = 2.5
# Sample 69
DWW_year2[210852] = 1.0
DWW_year2[210853] = 2.0
# Sample 70
DWW_year2[215542] = 1.5
DWW_year2[215543] = 1.5
DWW_year2[215550] = 1.5
DWW_year2[215551] = 1.5
DWW_year2[215558] = 1.5
DWW_year2[215559] = 1.5
DWW_year2[215566] = 1.5
DWW_year2[215567] = 1.5
DWW_year2[215574] = 1.5
DWW_year2[215575] = 1.5
DWW_year2[215582] = 1.5
DWW_year2[215583] = 1.5
DWW_year2[215598] = 2.5
DWW_year2[215599] = 0.5
DWW_year2[215606] = 2.5
DWW_year2[215607] = 0.5
# Sample 71
DWW_year2[215644] = 2.5
DWW_year2[215645] = 0.5
# Sample 72
DWW_year2[221466] = 2.0
DWW_year2[221467] = 1.0
DWW_year2[221474] = 2.0
DWW_year2[221475] = 1.0
DWW_year2[221482] = 2.0
DWW_year2[221483] = 1.0
DWW_year2[221490] = 2.0
DWW_year2[221491] = 1.0
DWW_year2[221498] = 2.0
DWW_year2[221499] = 1.0
DWW_year2[221506] = 2.0
DWW_year2[221507] = 1.0
DWW_year2[221524] = 2.5
DWW_year2[221525] = 0.5
DWW_year2[221532] = 2.5
DWW_year2[221533] = 0.5
# Sample 73
DWW_year2[221731] = 1.0
DWW_year2[221732] = 2.0
# Sample 74
DWW_year2[229584] = 1.0
DWW_year2[229585] = 2.0
DWW_year2[229592] = 1.0
DWW_year2[229593] = 2.0
DWW_year2[229600] = 1.0
DWW_year2[229601] = 2.0
DWW_year2[229608] = 1.0
DWW_year2[229609] = 2.0
DWW_year2[229616] = 1.0
DWW_year2[229617] = 2.0
DWW_year2[229624] = 1.0
DWW_year2[229625] = 2.0
DWW_year2[229654] = 2.0
DWW_year2[229655] = 1.0
DWW_year2[229662] = 1.5
DWW_year2[229663] = 1.5
# Sample 75
DWW_year2[229888] = 0.5
DWW_year2[229889] = 2.5
DWW_year2[229896] = 0.5
DWW_year2[229897] = 2.5
DWW_year2[229904] = 0.5
DWW_year2[229905] = 2.5
DWW_year2[229912] = 0.5
DWW_year2[229913] = 2.5

DWW_year2[229942] = 1.0
DWW_year2[229943] = 2.0
DWW_year2[229950] = 1.0
DWW_year2[229951] = 2.0
# Sample 76
DWW_year2[236690] = 1.5
DWW_year2[236691] = 1.5
DWW_year2[236698] = 1.5
DWW_year2[236699] = 1.5
DWW_year2[236706] = 1.5
DWW_year2[236707] = 1.5
DWW_year2[236714] = 1.5
DWW_year2[236715] = 1.5
DWW_year2[236722] = 1.5
DWW_year2[236723] = 1.5
DWW_year2[236730] = 1.5
DWW_year2[236731] = 1.5
DWW_year2[236752] = 1.5
DWW_year2[236753] = 1.5
DWW_year2[236760] = 1.5
DWW_year2[236761] = 1.5
DWW_year2[236828] = 1.0
DWW_year2[236829] = 2.0
DWW_year2[236836] = 1.0
DWW_year2[236837] = 2.0
DWW_year2[236844] = 0.5
DWW_year2[236845] = 2.5
DWW_year2[236852] = 0.5
DWW_year2[236853] = 2.5
DWW_year2[236880] = 2.5
DWW_year2[236881] = 0.5
DWW_year2[236888] = 2.5
DWW_year2[236889] = 0.5
# Sample 77
DWW_year2[242436] = 1.0
DWW_year2[242437] = 2.0
DWW_year2[242444] = 1.0
DWW_year2[242445] = 2.0
DWW_year2[242452] = 1.0
DWW_year2[242453] = 2.0
DWW_year2[242460] = 1.0
DWW_year2[242461] = 2.0
DWW_year2[242468] = 1.0
DWW_year2[242469] = 2.0
DWW_year2[242476] = 1.0
DWW_year2[242477] = 1.5
DWW_year2[242509] = 2.5
DWW_year2[242510] = 0.5
DWW_year2[242517] = 2.0
DWW_year2[242518] = 1.0
# Sample 78
DWW_year2[242619] = 1.0
DWW_year2[242620] = 2.0
# Sample 79
DWW_year2[248235] = 2.0
DWW_year2[248236] = 1.0
DWW_year2[248243] = 2.0
DWW_year2[248244] = 1.0
DWW_year2[248251] = 2.0
DWW_year2[248252] = 1.0
DWW_year2[248259] = 2.0
DWW_year2[248260] = 1.0
DWW_year2[248267] = 2.0
DWW_year2[248268] = 1.0
DWW_year2[248275] = 2.5
DWW_year2[248276] = 0.5
DWW_year2[248294] = 1.5
DWW_year2[248295] = 1.5
DWW_year2[248302] = 1.5
DWW_year2[248303] = 1.5
DWW_year2[248357] = 2.0
DWW_year2[248358] = 1.0
# Sample 80
DWW_year2[251705] = 1.5
DWW_year2[251706] = 2.0
DWW_year2[251712] = 1.5
DWW_year2[251713] = 2.0
DWW_year2[251720] = 1.0
DWW_year2[251721] = 2.0
DWW_year2[251728] = 1.5
DWW_year2[251729] = 1.5
DWW_year2[251736] = 1.5
DWW_year2[251737] = 2.0
DWW_year2[251744] = 1.0
DWW_year2[251745] = 2.0
DWW_year2[251780] = 1.5
DWW_year2[251781] = 1.5
DWW_year2[251788] = 2.0
DWW_year2[251789] = 1.0
# Sample 81
DWW_year2[251893] = 2.5
DWW_year2[251894] = 0.5
# Sample 82
DWW_year2[257077] = 1.5
DWW_year2[257078] = 1.5
DWW_year2[257085] = 1.5
DWW_year2[257086] = 1.5
DWW_year2[257093] = 1.5
DWW_year2[257094] = 1.5
DWW_year2[257101] = 1.5
DWW_year2[257102] = 1.5
DWW_year2[257109] = 1.5
DWW_year2[257110] = 1.5
DWW_year2[257117] = 1.5
DWW_year2[257118] = 1.5
DWW_year2[257141] = 0.5
DWW_year2[257142] = 2.5
DWW_year2[257149] = 1.0
DWW_year2[257150] = 2.0
# Sample 83
DWW_year2[260353] = 1.0
DWW_year2[260354] = 2.0
DWW_year2[260361] = 1.0
DWW_year2[260362] = 2.0
DWW_year2[260369] = 1.0
DWW_year2[260370] = 2.0
DWW_year2[260377] = 1.0
DWW_year2[260378] = 2.0
DWW_year2[260385] = 1.0
DWW_year2[260386] = 2.0
DWW_year2[260393] = 1.0
DWW_year2[260394] = 2.0
DWW_year2[260418] = 1.5
DWW_year2[260419] = 1.5
DWW_year2[260426] = 1.5
DWW_year2[260427] = 1.5
# Sample 84
DWW_year2[260466] = 1.0
DWW_year2[260467] = 2.0
# Sample 85
DWW_year2[266860] = 0.5
DWW_year2[266861] = 2.0
DWW_year2[266862] = 0.5
DWW_year2[266868] = 0.5
DWW_year2[266869] = 2.0
DWW_year2[266870] = 0.5
DWW_year2[266876] = 0.5
DWW_year2[266877] = 2.0
DWW_year2[266878] = 0.5
DWW_year2[266884] = 0.5
DWW_year2[266885] = 2.0
DWW_year2[266886] = 0.5
DWW_year2[266893] = 2.5
DWW_year2[266894] = 0.5
DWW_year2[266900] = 0.5
DWW_year2[266901] = 2.0
DWW_year2[266902] = 0.5
DWW_year2[266928] = 2.0
DWW_year2[266929] = 1.0
DWW_year2[266936] = 2.0
DWW_year2[266937] = 1.0
DWW_year2[266984] = 2.0
DWW_year2[266985] = 1.0
# Sample 86
DWW_year2[270412] = 1.5
DWW_year2[270413] = 1.5
DWW_year2[270420] = 1.5
DWW_year2[270421] = 1.5
DWW_year2[270428] = 1.5
DWW_year2[270429] = 1.5
DWW_year2[270436] = 1.5
DWW_year2[270437] = 1.5
DWW_year2[270444] = 1.5
DWW_year2[270445] = 1.5
DWW_year2[270452] = 1.5
DWW_year2[270453] = 1.5
DWW_year2[270486] = 2.0
DWW_year2[270487] = 1.0
DWW_year2[270494] = 1.5
DWW_year2[270495] = 2.5
# Sample 87
DWW_year2[270580] = 1.5
DWW_year2[270581] = 1.5
# Sample 88
DWW_year2[274515] = 0.5
DWW_year2[274516] = 2.5
DWW_year2[274523] = 0.5
DWW_year2[274524] = 2.5
DWW_year2[274531] = 0.5
DWW_year2[274532] = 2.0
DWW_year2[274533] = 0.5
DWW_year2[274539] = 0.5
DWW_year2[274540] = 2.0
DWW_year2[274541] = 0.5
DWW_year2[274547] = 0.5
DWW_year2[274548] = 2.5
DWW_year2[274555] = 0.5
DWW_year2[274556] = 2.0
DWW_year2[274557] = 0.5
DWW_year2[274591] = 2.0
DWW_year2[274592] = 1.0
DWW_year2[274599] = 1.5
DWW_year2[274600] = 1.0
# Sample 89
DWW_year2[280187] = 2.5
DWW_year2[280188] = 0.5
DWW_year2[280195] = 2.5
DWW_year2[280196] = 0.5
DWW_year2[280203] = 2.5
DWW_year2[280204] = 0.5
DWW_year2[280211] = 2.5
DWW_year2[280212] = 0.5
DWW_year2[280219] = 2.5
DWW_year2[280220] = 0.5
DWW_year2[280227] = 2.5
DWW_year2[280228] = 0.5
DWW_year2[280246] = 0.5
DWW_year2[280247] = 2.5
DWW_year2[280254] = 0.5
DWW_year2[280255] = 2.0
# Sample 90
DWW_year2[283376] = 0.5
DWW_year2[283377] = 2.5
DWW_year2[283384] = 0.5
DWW_year2[283385] = 2.5
DWW_year2[283392] = 0.5
DWW_year2[283393] = 2.5
DWW_year2[283400] = 0.5
DWW_year2[283401] = 2.5
DWW_year2[283408] = 0.5
DWW_year2[283409] = 2.5
DWW_year2[283417] = 2.0
DWW_year2[283418] = 1.0
DWW_year2[283449] = 2.0
DWW_year2[283450] = 1.0
DWW_year2[283457] = 2.0
DWW_year2[283458] = 1.0
# Sample 91
DWW_year2[287733] = 2.5
DWW_year2[287734] = 0.5
DWW_year2[287741] = 2.5
DWW_year2[287742] = 0.5
DWW_year2[287749] = 2.5
DWW_year2[287750] = 0.5
DWW_year2[287757] = 2.5
DWW_year2[287758] = 0.5
DWW_year2[287765] = 2.5
DWW_year2[287766] = 0.5
DWW_year2[287773] = 2.5
DWW_year2[287774] = 0.5
DWW_year2[287792] = 2.0
DWW_year2[287793] = 1.0
DWW_year2[287800] = 2.0
DWW_year2[287801] = 1.0
# Sample 92
DWW_year2[287910] = 0.5
DWW_year2[287911] = 2.0
DWW_year2[287912] = 0.5
# Sample 93
DWW_year2[292002] = 1.0
DWW_year2[292003] = 2.0
DWW_year2[292010] = 1.0
DWW_year2[292011] = 2.0
DWW_year2[292018] = 1.0
DWW_year2[292019] = 2.0
DWW_year2[292026] = 0.5
DWW_year2[292027] = 2.5
DWW_year2[292034] = 0.5
DWW_year2[292035] = 2.0
DWW_year2[292042] = 1.0
DWW_year2[292043] = 2.0
DWW_year2[292075] = 1.0
DWW_year2[292076] = 2.0
DWW_year2[292083] = 1.0
DWW_year2[292084] = 2.0
# Sample 94
DWW_year2[292293] = 2.0
DWW_year2[292294] = 1.0
# Sample 95
DWW_year2[297767] = 0.5
DWW_year2[297768] = 2.0
DWW_year2[297775] = 1.0
DWW_year2[297776] = 2.0
DWW_year2[297783] = 0.5
DWW_year2[297784] = 2.5
DWW_year2[297791] = 0.5
DWW_year2[297792] = 2.5
DWW_year2[297799] = 0.5
DWW_year2[297800] = 2.5
DWW_year2[297807] = 0.5
DWW_year2[297808] = 2.5
DWW_year2[297838] = 2.0
DWW_year2[297839] = 1.0
DWW_year2[297846] = 2.0
DWW_year2[297847] = 1.0
# Sample 96
DWW_year2[297928] = 2.0
DWW_year2[297929] = 1.0
# Sample 97
DWW_year2[302939] = 1.5
DWW_year2[302940] = 1.5
DWW_year2[302947] = 1.5
DWW_year2[302948] = 1.5
DWW_year2[302955] = 1.5
DWW_year2[302956] = 1.0
DWW_year2[302963] = 2.0
DWW_year2[302964] = 1.0
DWW_year2[302971] = 1.5
DWW_year2[302972] = 1.5
DWW_year2[302979] = 1.5
DWW_year2[302980] = 1.5
DWW_year2[303017] = 1.0
DWW_year2[303018] = 2.0
DWW_year2[303025] = 1.0
DWW_year2[303026] = 1.5
DWW_year2[303101] = 2.0
DWW_year2[303102] = 1.0
# Sample 98
DWW_year2[307288] = 2.0
DWW_year2[307289] = 1.0
DWW_year2[307296] = 2.0
DWW_year2[307297] = 1.0
DWW_year2[307304] = 2.0
DWW_year2[307305] = 1.0
DWW_year2[307312] = 2.0
DWW_year2[307313] = 1.0
DWW_year2[307320] = 1.5
DWW_year2[307321] = 1.5
DWW_year2[307328] = 1.5
DWW_year2[307329] = 1.5
DWW_year2[307360] = 1.0
DWW_year2[307361] = 2.0
DWW_year2[307368] = 1.0
DWW_year2[307369] = 2.0
# Sample 99
DWW_year2[311775] = 0.5
DWW_year2[311776] = 2.0
DWW_year2[311777] = 0.5
DWW_year2[311783] = 0.5
DWW_year2[311784] = 2.0
DWW_year2[311785] = 0.5
DWW_year2[311791] = 0.5
DWW_year2[311792] = 2.0
DWW_year2[311793] = 0.5
DWW_year2[311799] = 0.5
DWW_year2[311800] = 2.0
DWW_year2[311801] = 0.5
DWW_year2[311807] = 0.5
DWW_year2[311808] = 2.5
DWW_year2[311815] = 0.5
DWW_year2[311816] = 2.5
DWW_year2[311844] = 0.5
DWW_year2[311845] = 2.5
DWW_year2[311852] = 0.5
DWW_year2[311853] = 2.5
# Sample 100
DWW_year2[312007] = 1.0
DWW_year2[312008] = 1.5
# Sample 101
DWW_year2[316492] = 1.0
DWW_year2[316493] = 2.0
DWW_year2[316500] = 1.0
DWW_year2[316501] = 2.0
DWW_year2[316508] = 1.0
DWW_year2[316509] = 2.0
DWW_year2[316516] = 1.0
DWW_year2[316517] = 2.0
DWW_year2[316524] = 1.0
DWW_year2[316525] = 2.0
DWW_year2[316532] = 1.0
DWW_year2[316533] = 2.0
DWW_year2[316557] = 2.5
DWW_year2[316558] = 0.5
DWW_year2[316565] = 2.0
DWW_year2[316566] = 0.5
# Sample 102
DWW_year2[316824] = 1.0
DWW_year2[316825] = 2.0
# Sample 103
DWW_year2[320725] = 1.5
DWW_year2[320726] = 1.5
DWW_year2[320733] = 1.0
DWW_year2[320734] = 2.0
DWW_year2[320741] = 1.0
DWW_year2[320742] = 2.0
DWW_year2[320749] = 1.0
DWW_year2[320750] = 2.0
DWW_year2[320757] = 1.0
DWW_year2[320758] = 2.0
DWW_year2[320765] = 1.5
DWW_year2[320766] = 1.5
DWW_year2[320784] = 0.5
DWW_year2[320785] = 2.0
DWW_year2[320786] = 0.5
DWW_year2[320792] = 0.5
DWW_year2[320793] = 2.0
DWW_year2[320794] = 0.5
# Sample 104
DWW_year2[320969] = 1.0
DWW_year2[320970] = 2.0
# Sample 105
DWW_year2[326369] = 2.5
DWW_year2[326370] = 0.5
DWW_year2[326377] = 2.0
DWW_year2[326378] = 1.0
DWW_year2[326385] = 2.0
DWW_year2[326386] = 1.0
DWW_year2[326393] = 2.5
DWW_year2[326394] = 0.5
DWW_year2[326401] = 2.0
DWW_year2[326402] = 1.0
DWW_year2[326409] = 2.5
DWW_year2[326410] = 0.5
DWW_year2[326441] = 2.0
DWW_year2[326442] = 1.0
DWW_year2[326449] = 2.0
DWW_year2[326450] = 0.5
# Sample 106
DWW_year2[326520] = 1.0
DWW_year2[326521] = 2.0
# Sample 107
DWW_year2[331906] = 1.0
DWW_year2[331907] = 2.0
DWW_year2[331914] = 1.0
DWW_year2[331915] = 2.0
DWW_year2[331922] = 1.0
DWW_year2[331923] = 2.0
DWW_year2[331930] = 1.0
DWW_year2[331931] = 2.0
DWW_year2[331938] = 1.0
DWW_year2[331939] = 2.0
DWW_year2[331946] = 1.0
DWW_year2[331947] = 2.0
DWW_year2[331968] = 2.5
DWW_year2[331969] = 0.5
DWW_year2[331976] = 2.0
DWW_year2[331977] = 0.5
DWW_year2[332023] = 1.5
DWW_year2[332024] = 1.5
# Sample 108
DWW_year2[338029] = 0.5
DWW_year2[338030] = 2.5
DWW_year2[338037] = 1.0
DWW_year2[338038] = 2.0
DWW_year2[338045] = 0.5
DWW_year2[338046] = 2.5
DWW_year2[338053] = 0.5
DWW_year2[338054] = 2.5
DWW_year2[338061] = 0.5
DWW_year2[338062] = 2.5
DWW_year2[338069] = 0.5
DWW_year2[338070] = 2.5
DWW_year2[338098] = 0.5
DWW_year2[338099] = 2.5
DWW_year2[338106] = 0.5
DWW_year2[338107] = 2.5
# Sample 109
DWW_year2[338223] = 1.5
DWW_year2[338224] = 1.5
# Sample 110
DWW_year2[341060] = 1.0
DWW_year2[341061] = 2.0
DWW_year2[341068] = 0.5
DWW_year2[341069] = 2.5
DWW_year2[341076] = 0.5
DWW_year2[341077] = 2.5
DWW_year2[341084] = 1.0
DWW_year2[341085] = 2.0
DWW_year2[341092] = 0.5
DWW_year2[341093] = 2.0
DWW_year2[341100] = 1.0
DWW_year2[341101] = 2.0
DWW_year2[341143] = 1.0
DWW_year2[341144] = 2.0
DWW_year2[341151] = 1.0
DWW_year2[341152] = 2.0
# Sample 111
DWW_year2[341306] = 2.0
DWW_year2[341307] = 1.0
# Sample 112
DWW_year2[346429] = 1.0
DWW_year2[346430] = 2.0
DWW_year2[346437] = 0.5
DWW_year2[346438] = 2.0
DWW_year2[346445] = 1.0
DWW_year2[346446] = 2.0
DWW_year2[346453] = 0.5
DWW_year2[346454] = 2.5
DWW_year2[346461] = 0.5
DWW_year2[346462] = 2.0
DWW_year2[346469] = 1.0
DWW_year2[346470] = 2.0
DWW_year2[346509] = 0.5
DWW_year2[346510] = 2.0
DWW_year2[346511] = 0.5
DWW_year2[346517] = 0.5
DWW_year2[346518] = 2.0
DWW_year2[346519] = 0.5
# Sample 113
DWW_year2[346605] = 2.0
DWW_year2[346606] = 0.5
# Sample 114
DWW_year2[350774] = 1.5
DWW_year2[350775] = 1.5
DWW_year2[350782] = 1.5
DWW_year2[350783] = 1.5
DWW_year2[350790] = 2.0
DWW_year2[350791] = 1.0
DWW_year2[350798] = 1.5
DWW_year2[350799] = 1.5
DWW_year2[350806] = 1.5
DWW_year2[350807] = 1.5
DWW_year2[350814] = 1.5
DWW_year2[350815] = 1.5
DWW_year2[350850] = 0.5
DWW_year2[350851] = 2.0
DWW_year2[350858] = 0.5
DWW_year2[350859] = 2.5
# Sample 115
DWW_year2[350912] = 1.0
DWW_year2[350913] = 1.5
# Sample 116
DWW_year2[355446] = 1.0
DWW_year2[355447] = 2.0
DWW_year2[355454] = 1.0
DWW_year2[355455] = 1.5
DWW_year2[355462] = 1.5
DWW_year2[355463] = 1.5
DWW_year2[355470] = 1.5
DWW_year2[355471] = 1.5
DWW_year2[355478] = 1.5
DWW_year2[355479] = 1.5
DWW_year2[355486] = 1.5
DWW_year2[355487] = 1.5
DWW_year2[355516] = 1.0
DWW_year2[355517] = 2.0
DWW_year2[355524] = 1.0
DWW_year2[355525] = 2.0
# Sample 117
DWW_year2[360877] = 0.5
DWW_year2[360878] = 2.0
DWW_year2[360885] = 1.0
DWW_year2[360886] = 2.0
DWW_year2[360893] = 0.5
DWW_year2[360894] = 2.5
DWW_year2[360901] = 0.5
DWW_year2[360902] = 2.0
DWW_year2[360909] = 1.0
DWW_year2[360910] = 2.0
DWW_year2[360917] = 0.5
DWW_year2[360918] = 2.5
DWW_year2[360957] = 2.0
DWW_year2[360958] = 1.0
DWW_year2[360965] = 2.0
DWW_year2[360966] = 1.0
DWW_year2[361010] = 2.0
DWW_year2[361011] = 1.0
# Sample 118
DWW_year2[366889] = 2.5
DWW_year2[366896] = 0.5
DWW_year2[366897] = 2.0
DWW_year2[366898] = 0.5
DWW_year2[366904] = 0.5
DWW_year2[366905] = 2.0
DWW_year2[366912] = 0.5
DWW_year2[366913] = 2.5
DWW_year2[366920] = 0.5
DWW_year2[366921] = 2.0
DWW_year2[366922] = 0.5
DWW_year2[366929] = 2.5
DWW_year2[366970] = 0.5
DWW_year2[366971] = 2.5
DWW_year2[366978] = 0.5
DWW_year2[366979] = 2.0
# Sample 119
DWW_year2[367122] = 2.0
DWW_year2[367123] = 1.0
# Sample 120
DWW_year2[372162] = 1.0
DWW_year2[372163] = 2.0
DWW_year2[372170] = 1.0
DWW_year2[372171] = 2.0
DWW_year2[372178] = 0.5
DWW_year2[372179] = 2.5
DWW_year2[372186] = 0.5
DWW_year2[372187] = 2.0
DWW_year2[372194] = 0.5
DWW_year2[372195] = 2.5
DWW_year2[372202] = 0.5
DWW_year2[372203] = 2.5
DWW_year2[372229] = 1.0
DWW_year2[372230] = 2.0
DWW_year2[372237] = 1.0
DWW_year2[372238] = 2.0
# Sample 121
DWW_year2[372400] = 1.0
DWW_year2[372401] = 2.0
# Sample 122
DWW_year2[375516] = 1.5
DWW_year2[375517] = 1.5
DWW_year2[375524] = 1.0
DWW_year2[375525] = 2.0
DWW_year2[375532] = 1.5
DWW_year2[375533] = 1.5
DWW_year2[375540] = 1.0
DWW_year2[375541] = 2.0
DWW_year2[375548] = 1.0
DWW_year2[375549] = 2.0
DWW_year2[375556] = 1.5
DWW_year2[375557] = 1.5
DWW_year2[375577] = 2.5
DWW_year2[375578] = 0.5
DWW_year2[375585] = 2.5
DWW_year2[375586] = 0.5
# Sample 123
DWW_year2[375668] = 2.0
DWW_year2[375669] = 1.0
# Sample 124
DWW_year2[379911] = 0.5
DWW_year2[379912] = 2.5
DWW_year2[379919] = 0.5
DWW_year2[379920] = 2.5
DWW_year2[379927] = 0.5
DWW_year2[379928] = 2.0
DWW_year2[379929] = 0.5
DWW_year2[379936] = 2.5
DWW_year2[379943] = 0.5
DWW_year2[379944] = 2.0
DWW_year2[379945] = 0.5
DWW_year2[379951] = 0.5
DWW_year2[379952] = 2.5
DWW_year2[379987] = 1.5
DWW_year2[379988] = 1.5
DWW_year2[379995] = 1.5
DWW_year2[379996] = 1.5
# Sample 125
DWW_year2[380121] = 1.0
DWW_year2[380122] = 2.0
# Sample 126
DWW_year2[386612] = 0.5
DWW_year2[386613] = 2.5
DWW_year2[386620] = 0.5
DWW_year2[386621] = 2.5
DWW_year2[386628] = 0.5
DWW_year2[386629] = 2.5
DWW_year2[386636] = 0.5
DWW_year2[386637] = 2.5
DWW_year2[386644] = 0.5
DWW_year2[386645] = 2.5
DWW_year2[386652] = 0.5
DWW_year2[386653] = 2.5
DWW_year2[386677] = 0.5
DWW_year2[386678] = 2.0
DWW_year2[386679] = 0.5
DWW_year2[386685] = 1.0
DWW_year2[386686] = 2.0
# Sample 127
DWW_year2[386892] = 1.0
DWW_year2[386893] = 2.0
# Sample 128
DWW_year2[391470] = 2.5
DWW_year2[391471] = 0.5
DWW_year2[391478] = 2.0
DWW_year2[391479] = 0.5
DWW_year2[391485] = 0.5
DWW_year2[391486] = 2.0
DWW_year2[391487] = 0.5
DWW_year2[391494] = 2.5
DWW_year2[391495] = 0.5
DWW_year2[391502] = 2.5
DWW_year2[391503] = 0.5
DWW_year2[391509] = 0.5
DWW_year2[391510] = 2.0
DWW_year2[391511] = 0.5
DWW_year2[391535] = 2.0
DWW_year2[391536] = 1.0
DWW_year2[391543] = 1.5
DWW_year2[391544] = 1.0
# Sample 129
DWW_year2[392353] = 2.5
# Sample 130
DWW_year2[395222] = 0.5
DWW_year2[395223] = 2.0
DWW_year2[395224] = 0.5
DWW_year2[395231] = 2.5
DWW_year2[395232] = 0.5
DWW_year2[395239] = 2.5
DWW_year2[395240] = 0.5
DWW_year2[395247] = 2.0
DWW_year2[395248] = 0.5
DWW_year2[395254] = 0.5
DWW_year2[395255] = 2.0
DWW_year2[395256] = 0.5
DWW_year2[395262] = 0.5
DWW_year2[395263] = 2.0
DWW_year2[395264] = 0.5
DWW_year2[395296] = 2.0
DWW_year2[395297] = 0.5
DWW_year2[395304] = 2.0
DWW_year2[395305] = 1.0
# Sample 131
DWW_year2[395404] = 2.0
DWW_year2[395405] = 1.0
# Sample 132
DWW_year2[399994] = 1.0
DWW_year2[399995] = 2.0
DWW_year2[400002] = 1.0
DWW_year2[400003] = 2.0
DWW_year2[400010] = 0.5
DWW_year2[400011] = 2.0
DWW_year2[400018] = 0.5
DWW_year2[400019] = 2.5
DWW_year2[400026] = 1.0
DWW_year2[400027] = 2.0
DWW_year2[400034] = 1.0
DWW_year2[400035] = 2.0
DWW_year2[400057] = 0.5
DWW_year2[400058] = 2.0
DWW_year2[400059] = 0.5
DWW_year2[400065] = 0.5
DWW_year2[400066] = 2.0
# Sample 133
DWW_year2[400183] = 2.0
DWW_year2[400184] = 1.0
# Sample 134
DWW_year2[404042] = 1.0
DWW_year2[404043] = 2.0
DWW_year2[404050] = 1.0
DWW_year2[404051] = 2.0
DWW_year2[404058] = 1.0
DWW_year2[404059] = 1.5
DWW_year2[404066] = 1.0
DWW_year2[404067] = 2.0
DWW_year2[404074] = 1.0
DWW_year2[404075] = 2.0
DWW_year2[404082] = 1.0
DWW_year2[404083] = 1.5
DWW_year2[404120] = 0.5
DWW_year2[404121] = 2.5
DWW_year2[404128] = 0.5
DWW_year2[404129] = 2.5
# Sample 135
DWW_year2[404241] = 1.0
DWW_year2[404242] = 2.0
# Sample 136
DWW_year2[410275] = 1.0
DWW_year2[410276] = 2.0
DWW_year2[410283] = 1.0
DWW_year2[410284] = 2.0
DWW_year2[410291] = 1.0
DWW_year2[410292] = 2.0
DWW_year2[410299] = 1.0
DWW_year2[410300] = 2.0
DWW_year2[410307] = 1.0
DWW_year2[410308] = 2.0
DWW_year2[410315] = 1.0
DWW_year2[410316] = 2.0
DWW_year2[410334] = 0.5
DWW_year2[410335] = 2.0
DWW_year2[410336] = 0.5
DWW_year2[410342] = 0.5
DWW_year2[410343] = 2.0
DWW_year2[410344] = 0.5
# Sample 137
DWW_year2[411070] = 2.0
DWW_year2[411071] = 1.0
# Sample 138
DWW_year2[414473] = 1.0
DWW_year2[414474] = 2.0
DWW_year2[414481] = 0.5
DWW_year2[414482] = 2.0
DWW_year2[414483] = 0.5
DWW_year2[414489] = 1.0
DWW_year2[414490] = 2.0
DWW_year2[414497] = 1.0
DWW_year2[414498] = 2.0
DWW_year2[414505] = 1.0
DWW_year2[414506] = 2.0
DWW_year2[414513] = 1.0
DWW_year2[414514] = 2.0
DWW_year2[414546] = 0.5
DWW_year2[414547] = 2.5
DWW_year2[414554] = 0.5
DWW_year2[414555] = 2.5
# Sample 139
DWW_year2[419957] = 1.5
DWW_year2[419958] = 1.5
DWW_year2[419965] = 1.5
DWW_year2[419966] = 1.5
DWW_year2[419973] = 1.5
DWW_year2[419974] = 1.5
DWW_year2[419981] = 1.5
DWW_year2[419982] = 1.5
DWW_year2[419989] = 1.0
DWW_year2[419990] = 2.0
DWW_year2[419997] = 1.0
DWW_year2[419998] = 1.5
DWW_year2[420033] = 1.5
DWW_year2[420034] = 1.5
DWW_year2[420041] = 1.5
DWW_year2[420042] = 1.0
# Sample 140
DWW_year2[420089] = 1.5
DWW_year2[420090] = 1.5
# Sample 141
DWW_year2[424506] = 2.5
DWW_year2[424507] = 0.5
DWW_year2[424514] = 2.5
DWW_year2[424515] = 0.5
DWW_year2[424522] = 2.5
DWW_year2[424523] = 0.5
DWW_year2[424530] = 2.5
DWW_year2[424531] = 0.5
DWW_year2[424538] = 2.0
DWW_year2[424539] = 1.0
DWW_year2[424546] = 2.5
DWW_year2[424547] = 0.5
DWW_year2[424565] = 2.5
DWW_year2[424572] = 0.5
DWW_year2[424573] = 2.0
DWW_year2[424574] = 0.5
# Sample 142
DWW_year2[424767] = 1.0
DWW_year2[424768] = 2.0
# Sample 143
DWW_year2[428662] = 0.5
DWW_year2[428663] = 2.5
DWW_year2[428670] = 0.5
DWW_year2[428671] = 2.0
DWW_year2[428678] = 1.0
DWW_year2[428679] = 2.0
DWW_year2[428686] = 1.0
DWW_year2[428687] = 2.0
DWW_year2[428694] = 0.5
DWW_year2[428695] = 2.5
DWW_year2[428702] = 0.5
DWW_year2[428703] = 2.5
DWW_year2[428744] = 1.5
DWW_year2[428745] = 1.0
DWW_year2[428752] = 2.0
DWW_year2[428753] = 1.0
# Sample 144
DWW_year2[428834] = 1.0
DWW_year2[428835] = 2.0
# Sample 145
DWW_year2[434572] = 2.5
DWW_year2[434573] = 0.5
DWW_year2[434580] = 2.5
DWW_year2[434587] = 0.5
DWW_year2[434588] = 2.0
DWW_year2[434589] = 0.5
DWW_year2[434595] = 0.5
DWW_year2[434596] = 2.0
DWW_year2[434597] = 0.5
DWW_year2[434603] = 0.5
DWW_year2[434604] = 2.5
DWW_year2[434611] = 0.5
DWW_year2[434612] = 2.5
DWW_year2[434650] = 0.5
DWW_year2[434651] = 2.5
DWW_year2[434658] = 0.5
DWW_year2[434659] = 2.0
DWW_year2[434660] = 0.5
# Sample 146
DWW_year2[439967] = 1.5
DWW_year2[439968] = 1.5
DWW_year2[439975] = 1.5
DWW_year2[439976] = 1.5
DWW_year2[439983] = 1.0
DWW_year2[439984] = 1.5
DWW_year2[439991] = 1.5
DWW_year2[439992] = 1.5
DWW_year2[439999] = 1.5
DWW_year2[440000] = 1.5
DWW_year2[440007] = 2.0
DWW_year2[440008] = 1.0
DWW_year2[440042] = 1.5
DWW_year2[440043] = 1.5
DWW_year2[440050] = 1.5
DWW_year2[440051] = 1.5
# Sample 147
DWW_year2[440288] = 1.0
DWW_year2[440289] = 2.0
# Sample 148
DWW_year2[444713] = 1.5
DWW_year2[444714] = 1.5
DWW_year2[444721] = 1.5
DWW_year2[444722] = 1.5
DWW_year2[444729] = 1.5
DWW_year2[444730] = 1.5
DWW_year2[444737] = 1.5
DWW_year2[444738] = 1.5
DWW_year2[444745] = 1.0
DWW_year2[444746] = 1.5
DWW_year2[444753] = 1.5
DWW_year2[444754] = 1.5
DWW_year2[444791] = 1.5
DWW_year2[444792] = 1.5
DWW_year2[444799] = 1.5
DWW_year2[444800] = 1.5
# Sample 149
DWW_year2[445466] = 2.0
DWW_year2[445467] = 1.0
DWW_year2[445474] = 2.0
DWW_year2[445475] = 1.0
DWW_year2[445482] = 2.0
DWW_year2[445483] = 1.0
DWW_year2[445490] = 2.0
DWW_year2[445491] = 1.0
DWW_year2[445509] = 1.5
DWW_year2[445510] = 1.0
DWW_year2[445517] = 2.0
DWW_year2[445518] = 1.0
# Sample 150
DWW_year2[451372] = 2.5
DWW_year2[451373] = 0.5
DWW_year2[451380] = 2.5
DWW_year2[451381] = 0.5
DWW_year2[451388] = 2.5
DWW_year2[451389] = 0.5
DWW_year2[451396] = 2.5
DWW_year2[451397] = 0.5
DWW_year2[451404] = 2.5
DWW_year2[451405] = 0.5
DWW_year2[451411] = 0.5
DWW_year2[451412] = 2.0
DWW_year2[451413] = 0.5
DWW_year2[451446] = 1.0
DWW_year2[451447] = 2.0
DWW_year2[451454] = 1.0
DWW_year2[451455] = 2.0
# Sample 151
DWW_year2[451813] = 0.5
DWW_year2[451814] = 2.5
DWW_year2[451821] = 0.5
DWW_year2[451822] = 2.5
DWW_year2[451829] = 0.5
DWW_year2[451830] = 2.0
DWW_year2[451831] = 0.5
DWW_year2[451837] = 0.5
DWW_year2[451838] = 2.5
DWW_year2[451845] = 0.5
DWW_year2[451846] = 2.5
DWW_year2[451853] = 0.5
DWW_year2[451854] = 2.0
DWW_year2[451855] = 0.5
DWW_year2[451896] = 2.0
DWW_year2[451897] = 1.0
DWW_year2[451904] = 2.0
DWW_year2[451905] = 1.0
# Sample 152
DWW_year2[455641] = 2.0
DWW_year2[455642] = 1.0
DWW_year2[455649] = 2.0
DWW_year2[455650] = 1.0
DWW_year2[455657] = 2.0
DWW_year2[455658] = 0.5
DWW_year2[455665] = 2.0
DWW_year2[455666] = 1.0
DWW_year2[455673] = 2.5
DWW_year2[455674] = 0.5
DWW_year2[455681] = 2.0
DWW_year2[455682] = 1.0
DWW_year2[455723] = 2.0
DWW_year2[455724] = 1.0
DWW_year2[455731] = 2.0
DWW_year2[455732] = 0.5
# Sample 153
DWW_year2[459097] = 2.0
DWW_year2[459098] = 1.0
DWW_year2[459105] = 2.0
DWW_year2[459106] = 1.0
DWW_year2[459113] = 1.5
DWW_year2[459114] = 1.0
DWW_year2[459121] = 2.0
DWW_year2[459122] = 1.0
DWW_year2[459129] = 2.0
DWW_year2[459130] = 1.0
DWW_year2[459137] = 2.0
DWW_year2[459138] = 1.0
DWW_year2[459158] = 0.5
DWW_year2[459159] = 2.0
DWW_year2[459160] = 0.5
DWW_year2[459166] = 0.5
DWW_year2[459167] = 2.0
DWW_year2[459168] = 0.5
DWW_year2[459225] = 1.0
DWW_year2[459226] = 2.0
# Sample 154
DWW_year2[461993] = 1.0
DWW_year2[461994] = 2.0
DWW_year2[462001] = 1.0
DWW_year2[462002] = 2.0
DWW_year2[462009] = 1.0
DWW_year2[462010] = 2.0
DWW_year2[462017] = 1.0
DWW_year2[462018] = 2.0
DWW_year2[462025] = 1.0
DWW_year2[462026] = 2.0
DWW_year2[462033] = 1.0
DWW_year2[462034] = 2.0
DWW_year2[462058] = 1.0
DWW_year2[462059] = 2.0
DWW_year2[462066] = 1.0
DWW_year2[462067] = 2.0
# Sample 155
DWW_year2[462178] = 2.5
DWW_year2[462179] = 0.5
# Sample 156
# Sample 157
DWW_year2[467717] = 0.5
DWW_year2[467718] = 2.0
DWW_year2[467719] = 0.5
DWW_year2[467726] = 2.0
DWW_year2[467727] = 1.0
DWW_year2[467734] = 1.5
DWW_year2[467735] = 1.0
DWW_year2[467742] = 2.0
DWW_year2[467743] = 1.0
DWW_year2[467750] = 2.0
DWW_year2[467751] = 1.0
DWW_year2[467758] = 2.0
DWW_year2[467759] = 1.0
DWW_year2[467789] = 2.0
DWW_year2[467790] = 1.0
DWW_year2[467797] = 2.0
DWW_year2[467798] = 0.5
DWW_year2[467869] = 1.0
DWW_year2[467870] = 2.0
# Sample 158
DWW_year2[471803] = 2.0
DWW_year2[471804] = 1.0
DWW_year2[471811] = 2.0
DWW_year2[471812] = 0.5
DWW_year2[471819] = 2.0
DWW_year2[471820] = 1.0
DWW_year2[471827] = 2.0
DWW_year2[471828] = 0.5
DWW_year2[471835] = 2.5
DWW_year2[471836] = 0.5
DWW_year2[471843] = 2.0
DWW_year2[471844] = 1.0
DWW_year2[471884] = 2.5
DWW_year2[471885] = 0.5
DWW_year2[471892] = 2.5
DWW_year2[471893] = 0.5
# Sample 159
DWW_year2[471949] = 0.5
DWW_year2[471950] = 2.0
DWW_year2[471951] = 0.5
# Sample 160
DWW_year2[478646] = 2.0
DWW_year2[478647] = 1.0
DWW_year2[478654] = 2.0
DWW_year2[478655] = 1.0
DWW_year2[478662] = 2.0
DWW_year2[478663] = 0.5
DWW_year2[478670] = 2.0
DWW_year2[478671] = 1.0
DWW_year2[478678] = 2.0
DWW_year2[478679] = 1.0
DWW_year2[478686] = 2.0
DWW_year2[478687] = 1.0
DWW_year2[478728] = 1.0
DWW_year2[478729] = 1.5
DWW_year2[478736] = 1.5
DWW_year2[478737] = 1.0
DWW_year2[478793] = 0.5
DWW_year2[478794] = 2.5
# Sample 161
DWW_year2[481663] = 1.5
DWW_year2[481664] = 1.5
DWW_year2[481671] = 1.0
DWW_year2[481672] = 1.5
DWW_year2[481679] = 1.5
DWW_year2[481680] = 1.5
DWW_year2[481687] = 1.5
DWW_year2[481688] = 1.5
DWW_year2[481695] = 1.0
DWW_year2[481696] = 2.0
DWW_year2[481703] = 1.0
DWW_year2[481704] = 2.0
DWW_year2[481738] = 0.5
DWW_year2[481739] = 2.5
DWW_year2[481746] = 0.5
DWW_year2[481747] = 2.5
# Sample 162
DWW_year2[481916] = 2.0
DWW_year2[481917] = 1.0
# Sample 163
DWW_year2[485890] = 1.5
DWW_year2[485891] = 1.5
DWW_year2[485898] = 1.0
DWW_year2[485899] = 2.0
DWW_year2[485906] = 1.0
DWW_year2[485907] = 2.0
DWW_year2[485914] = 1.0
DWW_year2[485915] = 2.0
DWW_year2[485922] = 1.0
DWW_year2[485923] = 2.0
DWW_year2[485930] = 1.0
DWW_year2[485931] = 2.0
DWW_year2[485963] = 1.5
DWW_year2[485964] = 1.0
DWW_year2[485971] = 2.0
DWW_year2[485972] = 1.0
# Sample 164
DWW_year2[486042] = 1.5
DWW_year2[486043] = 1.5
# Sample 165
DWW_year2[489355] = 2.5
DWW_year2[489356] = 0.5
DWW_year2[489363] = 2.5
DWW_year2[489364] = 0.5
DWW_year2[489371] = 2.5
DWW_year2[489379] = 2.5
DWW_year2[489380] = 0.5
DWW_year2[489386] = 0.5
DWW_year2[489387] = 2.0
DWW_year2[489388] = 0.5
DWW_year2[489394] = 0.5
DWW_year2[489395] = 2.0
DWW_year2[489396] = 0.5
DWW_year2[489426] = 2.0
DWW_year2[489427] = 1.0
DWW_year2[489434] = 2.0
DWW_year2[489435] = 1.0
# Sample 166
DWW_year2[489514] = 1.5
DWW_year2[489515] = 1.5
DWW_year2[489522] = 1.5
DWW_year2[489523] = 1.5
DWW_year2[489530] = 1.5
DWW_year2[489531] = 1.5
DWW_year2[489538] = 2.0
DWW_year2[489539] = 1.0
DWW_year2[489546] = 1.5
DWW_year2[489547] = 1.5
DWW_year2[489554] = 1.5
DWW_year2[489555] = 1.5
DWW_year2[489577] = 1.0
DWW_year2[489578] = 2.0
DWW_year2[489585] = 1.0
DWW_year2[489586] = 1.5
# Sample 167
DWW_year2[494788] = 1.0
DWW_year2[494789] = 2.0
DWW_year2[494796] = 0.5
DWW_year2[494797] = 2.0
DWW_year2[494798] = 0.5
DWW_year2[494804] = 0.5
DWW_year2[494805] = 2.5
DWW_year2[494812] = 1.0
DWW_year2[494813] = 2.0
DWW_year2[494820] = 0.5
DWW_year2[494821] = 2.5
DWW_year2[494828] = 1.0
DWW_year2[494829] = 2.0
DWW_year2[494860] = 0.5
DWW_year2[494861] = 2.5
DWW_year2[494868] = 0.5
DWW_year2[494869] = 2.0
DWW_year2[494870] = 0.5
# Sample 168
DWW_year2[494961] = 1.5
DWW_year2[494962] = 1.5
# Sample 169
DWW_year2[497932] = 0.5
DWW_year2[497933] = 2.5
DWW_year2[497940] = 0.5
DWW_year2[497941] = 2.0
DWW_year2[497942] = 0.5
DWW_year2[497948] = 0.5
DWW_year2[497949] = 2.0
DWW_year2[497950] = 0.5
DWW_year2[497956] = 0.5
DWW_year2[497957] = 2.0
DWW_year2[497964] = 0.5
DWW_year2[497965] = 2.5
DWW_year2[497972] = 0.5
DWW_year2[497973] = 2.5
DWW_year2[498012] = 1.0
DWW_year2[498013] = 2.0
DWW_year2[498020] = 1.0
DWW_year2[498021] = 2.0
# Sample 170
DWW_year2[498071] = 1.0
DWW_year2[498072] = 2.0
# Sample 171
DWW_year2[502267] = 1.0
DWW_year2[502268] = 2.0
DWW_year2[502275] = 1.0
DWW_year2[502276] = 2.0
DWW_year2[502283] = 1.0
DWW_year2[502284] = 2.0
DWW_year2[502291] = 1.0
DWW_year2[502292] = 2.0
DWW_year2[502299] = 1.5
DWW_year2[502300] = 1.5
DWW_year2[502307] = 1.5
DWW_year2[502308] = 1.5
DWW_year2[502343] = 1.0
DWW_year2[502344] = 2.0
DWW_year2[502351] = 1.0
DWW_year2[502352] = 2.0
DWW_year2[502401] = 1.5
DWW_year2[502402] = 1.5
# Sample 172
DWW_year2[506105] = 1.0
DWW_year2[506106] = 2.0
DWW_year2[506113] = 1.0
DWW_year2[506114] = 2.0
DWW_year2[506121] = 0.5
DWW_year2[506122] = 2.5
DWW_year2[506129] = 0.5
DWW_year2[506130] = 2.0
DWW_year2[506137] = 1.0
DWW_year2[506138] = 2.0
DWW_year2[506145] = 0.5
DWW_year2[506146] = 2.5
DWW_year2[506182] = 1.0
DWW_year2[506183] = 2.0
DWW_year2[506190] = 1.0
DWW_year2[506191] = 2.0
# Sample 173
DWW_year2[506347] = 1.5
DWW_year2[506348] = 1.5
# Sample 174
DWW_year2[510648] = 1.0
DWW_year2[510649] = 2.0
DWW_year2[510656] = 1.0
DWW_year2[510657] = 2.0
DWW_year2[510664] = 1.0
DWW_year2[510665] = 2.0
DWW_year2[510672] = 1.0
DWW_year2[510673] = 2.0
DWW_year2[510680] = 1.0
DWW_year2[510681] = 2.0
DWW_year2[510688] = 1.0
DWW_year2[510689] = 2.0
DWW_year2[510708] = 1.5
DWW_year2[510709] = 1.5
DWW_year2[510716] = 1.5
DWW_year2[510717] = 1.5
# Sample 175
DWW_year2[510806] = 2.0
DWW_year2[510807] = 1.0
DWW_year2[510814] = 1.5
DWW_year2[510815] = 1.5
DWW_year2[510822] = 1.5
DWW_year2[510823] = 1.0
DWW_year2[510830] = 2.0
DWW_year2[510831] = 1.0
DWW_year2[510838] = 2.0
DWW_year2[510839] = 1.0
DWW_year2[510846] = 1.5
DWW_year2[510847] = 1.5
DWW_year2[510883] = 2.0
DWW_year2[510884] = 1.0
DWW_year2[510891] = 2.0
DWW_year2[510892] = 1.0
# Sample 176
DWW_year2[513796] = 1.0
DWW_year2[513797] = 2.0
DWW_year2[513804] = 1.0
DWW_year2[513805] = 2.0
DWW_year2[513812] = 1.5
DWW_year2[513813] = 1.5
DWW_year2[513820] = 1.0
DWW_year2[513821] = 2.0
DWW_year2[513828] = 1.0
DWW_year2[513829] = 2.0
DWW_year2[513836] = 1.0
DWW_year2[513837] = 2.0
DWW_year2[513867] = 0.5
DWW_year2[513868] = 2.0
DWW_year2[513869] = 0.5
DWW_year2[513875] = 0.5
DWW_year2[513876] = 2.0
DWW_year2[513877] = 0.5
# Sample 177
DWW_year2[513976] = 1.0
DWW_year2[513977] = 2.0
# Sample 178
DWW_year2[518070] = 1.0
DWW_year2[518071] = 2.0
DWW_year2[518078] = 1.0
DWW_year2[518079] = 2.0
DWW_year2[518086] = 1.0
DWW_year2[518087] = 2.0
DWW_year2[518094] = 1.0
DWW_year2[518095] = 2.0
DWW_year2[518102] = 1.0
DWW_year2[518103] = 2.0
DWW_year2[518110] = 1.0
DWW_year2[518111] = 1.5
DWW_year2[518149] = 2.5
DWW_year2[518150] = 0.5
DWW_year2[518157] = 2.5
DWW_year2[518158] = 0.5
# Sample 179
DWW_year2[518222] = 0.5
DWW_year2[518223] = 2.5
# Sample 180
DWW_year2[519482] = 1.0
DWW_year2[519483] = 2.0
DWW_year2[519490] = 1.0
DWW_year2[519491] = 2.0
DWW_year2[519498] = 1.0
DWW_year2[519499] = 2.0
DWW_year2[519506] = 1.0
DWW_year2[519507] = 2.0
DWW_year2[519514] = 0.5
DWW_year2[519515] = 2.5
DWW_year2[519522] = 0.5
DWW_year2[519523] = 2.5
DWW_year2[519539] = 2.5
DWW_year2[519540] = 0.5
DWW_year2[519547] = 2.5
DWW_year2[519548] = 0.5
# Sample 181
DWW_year2[520391] = 1.0
DWW_year2[520392] = 1.5
DWW_year2[520399] = 1.5
DWW_year2[520400] = 1.5
DWW_year2[520406] = 1.0
DWW_year2[520407] = 2.0
DWW_year2[520415] = 1.0
DWW_year2[520416] = 2.0
DWW_year2[520423] = 1.0
DWW_year2[520424] = 2.0
DWW_year2[520431] = 1.0
DWW_year2[520432] = 2.0
DWW_year2[520456] = 2.0
DWW_year2[520457] = 1.0
DWW_year2[520463] = 0.5
DWW_year2[520464] = 2.0
DWW_year2[520465] = 0.5
# Sample 182
DWW_year2[520696] = 0.5
DWW_year2[520697] = 2.0
DWW_year2[520698] = 0.5
# Sample 183
DWW_year2[523355] = 1.0
DWW_year2[523356] = 2.0
DWW_year2[523363] = 1.0
DWW_year2[523364] = 2.0
DWW_year2[523371] = 1.0
DWW_year2[523372] = 2.0
DWW_year2[523379] = 1.0
DWW_year2[523380] = 2.0
DWW_year2[523387] = 1.0
DWW_year2[523388] = 2.0
DWW_year2[523395] = 1.0
DWW_year2[523396] = 1.5
DWW_year2[523430] = 0.5
DWW_year2[523431] = 2.5
DWW_year2[523438] = 0.5
DWW_year2[523439] = 2.0
# Sample 184
DWW_year2[523675] = 1.5
DWW_year2[523676] = 1.5