import numpy as np

llf = np.array([-242.89663276735])

nobs = np.array([             202])

k = np.array([               3])

k_exog = np.array([               1])

sigma = np.array([  .8053519404535])

chi2 = np.array([ 15723.381396967])

df_model = np.array([               2])

k_ar = np.array([               1])

k_ma = np.array([               1])

params = np.array([ .99479180506163, 
                   -.84461527652809, 
                    .64859174799221])

cov_params = np.array([ .00008904968254, 
                       -.00023560410507, 
                        .00012795903324, 
                       -.00023560410507, 
                        .00131628534915, 
                       -.00022462340695, 
                        .00012795903324, 
                       -.00022462340695, 
                         .0005651128627]).reshape(3,3)

xb = np.array([               0, 
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y = np.array([np.nan, 
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resid = np.array([np.nan, 
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yr = np.array([np.nan, 
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               -.33032417297363, 
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                1.5496014356613, 
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               -.42574247717857, 
               -.15540990233421, 
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                .11487878113985, 
                .70277869701385, 
                .60241633653641, 
               -.18233296275139, 
                .85120695829391, 
               -.37064728140831, 
                3.2916390895844, 
               -1.4963974952698, 
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                .56923681497574, 
               -2.3088004589081, 
                .51979947090149, 
                1.1197309494019, 
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                1.9223841428757, 
               -.21881568431854, 
                2.9340152740479, 
               -3.8318600654602, 
                -6.239429473877, 
               -.08245316892862, 
                1.2339268922806, 
                1.1695692539215])

mse = np.array([ 1.1112809181213, 
                  .6632194519043, 
                 .65879660844803, 
                 .65575885772705, 
                 .65364873409271, 
                 .65217137336731, 
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                  .6503963470459, 
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                 .64924287796021, 
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                 .64875996112823, 
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                 .64867728948593, 
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                 .64863526821136, 
                 .64862281084061, 
                 .64861387014389, 
                 .64860755205154, 
                 .64860302209854, 
                 .64859980344772, 
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                 .64859586954117, 
                 .64859467744827, 
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                  .6485932469368, 
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                 .64859253168106, 
                 .64859229326248, 
                 .64859211444855, 
                 .64859199523926, 
                 .64859193563461, 
                 .64859187602997, 
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stdp = np.array([               0, 
                                0, 
                  .02869686298072, 
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                  .05940540507436, 
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                  .21028305590153, 
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                  .38031083345413, 
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                    1.34929728508, 
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                   1.058304309845, 
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                   1.000718832016, 
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                  1.0119106769562, 
                  1.0649236440659, 
                  1.0346088409424, 
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                   .9271782040596, 
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                  .78776079416275, 
                  .77047789096832, 
                  .77089905738831, 
                   .8313245177269, 
                  .82229107618332, 
                  .90476810932159, 
                  .94439232349396, 
                  1.0379292964935, 
                  1.1469690799713, 
                  1.1489590406418, 
                  1.2257302999496, 
                  1.1554099321365, 
                  1.1260533332825, 
                   .9811190366745, 
                   .8436843752861, 
                  .95287209749222, 
                  .90993344783783, 
                  .94875508546829, 
                  1.0115815401077, 
                  .94450175762177, 
                  .87282890081406, 
                  .91741597652435, 
                  .98511207103729, 
                   .9972335100174, 
                  1.0975805521011, 
                  1.1823329925537, 
                  1.1487929821014, 
                   1.270641207695, 
                  1.2083609104156, 
                   1.696394443512, 
                  1.4628355503082, 
                  1.4307631254196, 
                  1.5087975263596, 
                  1.1542117595673, 
                  1.2262620925903, 
                  1.3880327939987, 
                  1.3853038549423, 
                  1.4396153688431, 
                  1.7208145856857, 
                   1.678991317749, 
                   2.110867023468, 
                   1.524417757988, 
                  .57946246862411, 
                  .56406193971634, 
                  .74643105268478])

icstats = np.array([             202, 
                    np.nan, 
                    -242.89663276735, 
                                   3, 
                     491.79326553469, 
                      501.7180686269])

class Bunch(dict):
    def __init__(self, **kw):
        dict.__init__(self, kw)
        self.__dict__  = self


results = Bunch(llf=llf, nobs=nobs, k=k, k_exog=k_exog, sigma=sigma, chi2=chi2, df_model=df_model, k_ar=k_ar, k_ma=k_ma, params=params, cov_params=cov_params, xb=xb, y=y, resid=resid, yr=yr, mse=mse, stdp=stdp, icstats=icstats, )