from numpy import array

from statsmodels.tools.testing import Holder


mlpacf = Holder()
mlpacf.comment = 'mlab.parcorr(x, [], 2, nout=3)'
mlpacf.name = 'mlpacf'
mlpacf.lags1000 = array([
    [0.],
    [1.],
    [2.],
    [3.],
    [4.],
    [5.],
    [6.],
    [7.],
    [8.],
    [9.],
    [10.],
    [11.],
    [12.],
    [13.],
    [14.],
    [15.],
    [16.],
    [17.],
    [18.],
    [19.],
    [20.]])
mlpacf.bounds1000 = array([
    [0.06334064],
    [-0.06334064]])
mlpacf.lags100 = array([
    [0.],
    [1.],
    [2.],
    [3.],
    [4.],
    [5.],
    [6.],
    [7.],
    [8.],
    [9.],
    [10.],
    [11.],
    [12.],
    [13.],
    [14.],
    [15.],
    [16.],
    [17.],
    [18.],
    [19.],
    [20.]])
mlpacf.pacf100 = array([
    [1.],
    [0.47253777],
    [-0.49466966],
    [-0.02689319],
    [-0.00122204],
    [0.08419183],
    [0.03220774],
    [0.10404012],
    [0.05304617],
    [-0.04129564],
    [-0.04049451],
    [0.11727754],
    [0.11804158],
    [-0.05864957],
    [-0.15681802],
    [0.11828684],
    [0.05156002],
    [0.00694629],
    [0.01668964],
    [0.02236851],
    [-0.0909443]])
mlpacf.pacf1000 = array([
    [1.00000000e+00],
    [5.29288262e-01],
    [-5.31849027e-01],
    [1.17440051e-02],
    [-5.37941905e-02],
    [-4.11119348e-02],
    [-2.40367432e-02],
    [2.24289891e-02],
    [3.33007235e-02],
    [4.59658302e-02],
    [6.65850553e-03],
    [-3.76714278e-02],
    [5.27229738e-02],
    [2.50796558e-02],
    [-4.42597301e-02],
    [-1.95819186e-02],
    [4.70451394e-02],
    [-1.70963705e-03],
    [3.04262524e-04],
    [-6.22001614e-03],
    [-1.16694989e-02]])
mlpacf.bounds100 = array([
    [0.20306923],
    [-0.20306923]])

mlacf = Holder()
mlacf.comment = 'mlab.autocorr(x, [], 2, nout=3)'
mlacf.name = 'mlacf'
mlacf.acf1000 = array([
    [1.],
    [0.5291635],
    [-0.10186759],
    [-0.35798372],
    [-0.25894203],
    [-0.06398397],
    [0.0513664],
    [0.08222289],
    [0.08115406],
    [0.07674254],
    [0.04540619],
    [-0.03024699],
    [-0.05886634],
    [-0.01422948],
    [0.01277825],
    [-0.01013384],
    [-0.00765693],
    [0.02183677],
    [0.03618889],
    [0.01622553],
    [-0.02073507]])
mlacf.lags1000 = array([
    [0.],
    [1.],
    [2.],
    [3.],
    [4.],
    [5.],
    [6.],
    [7.],
    [8.],
    [9.],
    [10.],
    [11.],
    [12.],
    [13.],
    [14.],
    [15.],
    [16.],
    [17.],
    [18.],
    [19.],
    [20.]])
mlacf.bounds1000 = array([
    [0.0795181],
    [-0.0795181]])
mlacf.lags100 = array([
    [0.],
    [1.],
    [2.],
    [3.],
    [4.],
    [5.],
    [6.],
    [7.],
    [8.],
    [9.],
    [10.],
    [11.],
    [12.],
    [13.],
    [14.],
    [15.],
    [16.],
    [17.],
    [18.],
    [19.],
    [20.]])
mlacf.bounds100 = array([
    [0.24319646],
    [-0.24319646]])
mlacf.acf100 = array([
    [1.],
    [0.47024791],
    [-0.1348087],
    [-0.32905777],
    [-0.18632437],
    [0.06223404],
    [0.16645194],
    [0.12589966],
    [0.04805397],
    [-0.03785273],
    [-0.0956997],
    [0.00644021],
    [0.17157144],
    [0.12370327],
    [-0.07597526],
    [-0.13865131],
    [0.02730275],
    [0.13624193],
    [0.10417949],
    [0.01114516],
    [-0.09727938]])

mlccf = Holder()
mlccf.comment = 'mlab.crosscorr(x[4:], x[:-4], [], 2, nout=3)'
mlccf.name = 'mlccf'
mlccf.ccf100 = array([
    [0.20745123],
    [0.12351939],
    [-0.03436893],
    [-0.14550879],
    [-0.10570855],
    [0.0108839],
    [0.1108941],
    [0.14562415],
    [0.02872607],
    [-0.14976649],
    [-0.08274954],
    [0.13158485],
    [0.18350343],
    [0.00633845],
    [-0.10359988],
    [-0.0416147],
    [0.05056298],
    [0.13438945],
    [0.17832125],
    [0.06665153],
    [-0.19999538],
    [-0.31700548],
    [-0.09727956],
    [0.46547234],
    [0.92934645],
    [0.44480271],
    [-0.09228691],
    [-0.21627289],
    [-0.05447732],
    [0.13786254],
    [0.15409039],
    [0.07466298],
    [-0.01000896],
    [-0.06744264],
    [-0.0607185],
    [0.04338471],
    [0.12336618],
    [0.07712367],
    [-0.08739259],
    [-0.09319212],
    [0.04426167]])
mlccf.lags1000 = array([
    [-20.],
    [-19.],
    [-18.],
    [-17.],
    [-16.],
    [-15.],
    [-14.],
    [-13.],
    [-12.],
    [-11.],
    [-10.],
    [-9.],
    [-8.],
    [-7.],
    [-6.],
    [-5.],
    [-4.],
    [-3.],
    [-2.],
    [-1.],
    [0.],
    [1.],
    [2.],
    [3.],
    [4.],
    [5.],
    [6.],
    [7.],
    [8.],
    [9.],
    [10.],
    [11.],
    [12.],
    [13.],
    [14.],
    [15.],
    [16.],
    [17.],
    [18.],
    [19.],
    [20.]])
mlccf.bounds1000 = array([
    [0.06337243],
    [-0.06337243]])
mlccf.ccf1000 = array([
    [0.02733339],
    [0.04372407],
    [0.01082335],
    [-0.02755073],
    [-0.02076039],
    [0.01624263],
    [0.03622844],
    [0.02186092],
    [-0.00766506],
    [-0.0101448],
    [0.01279167],
    [-0.01424596],
    [-0.05893064],
    [-0.03028013],
    [0.04545462],
    [0.076825],
    [0.08124118],
    [0.08231121],
    [0.05142144],
    [-0.06405412],
    [-0.25922346],
    [-0.35806674],
    [-0.1017256],
    [0.5293535],
    [0.99891094],
    [0.52941977],
    [-0.10127572],
    [-0.35691466],
    [-0.25943369],
    [-0.06458511],
    [0.05026194],
    [0.08196501],
    [0.08242852],
    [0.07775845],
    [0.04590431],
    [-0.03195209],
    [-0.06162966],
    [-0.01395345],
    [0.01448736],
    [-0.00952503],
    [-0.00927344]])
mlccf.lags100 = array([
    [-20.],
    [-19.],
    [-18.],
    [-17.],
    [-16.],
    [-15.],
    [-14.],
    [-13.],
    [-12.],
    [-11.],
    [-10.],
    [-9.],
    [-8.],
    [-7.],
    [-6.],
    [-5.],
    [-4.],
    [-3.],
    [-2.],
    [-1.],
    [0.],
    [1.],
    [2.],
    [3.],
    [4.],
    [5.],
    [6.],
    [7.],
    [8.],
    [9.],
    [10.],
    [11.],
    [12.],
    [13.],
    [14.],
    [15.],
    [16.],
    [17.],
    [18.],
    [19.],
    [20.]])
mlccf.bounds100 = array([
    [0.20412415],
    [-0.20412415]])

mlywar = Holder()
mlywar.comment = "mlab.ar(x100-x100.mean(), 10, 'yw').a.ravel()"
mlywar.arcoef100 = array([
    1.,         -0.66685531,  0.43519425, -0.00399862,  0.05521524,
    -0.09366752,  0.01093454, -0.00688404, -0.04739089,  0.00127931,
    0.03946846])
mlywar.arcoef1000 = array([
    1.,         -0.81230253,  0.55766432, -0.02370962,  0.02688963,
    0.01110911,  0.02239171, -0.01891209, -0.00240527, -0.01752532,
    -0.06348611,  0.0609686,  -0.00717163, -0.0467326,  -0.00122755,
    0.06004768, -0.04893984,  0.00575949,  0.00249315, -0.00560358,
    0.01248498])
mlywar.name = 'mlywar'