Python statsmodels ARIMA LinAlgError: SVD doesn't converge

Question

Python statsmodels ARIMA LinAlgError: SVD doesn't converge

Reference Information. I am developing a program using statsmodels that is suitable for 27 arima models (p, d, q = 0,1,2) for more than 100 variables and selects the model with the lowest statistical and statistically significant t-statistics for AR / MA and statistically significant p-values for a more complete dickey test ...

For one specific variable and one specific set of parameters, I get

LinAlgError: SVD did not converge

for replication, the variable and the code that crashes below

rollrate =[0.3469842191781748,
 0.9550689157572028,
 0.48170862494888256,
 0.15277985674197356,
 0.46102487817508747,
 0.32777706854320243,
 0.5163787896482797,
 0.01707716528127215,
 0.015036662424309755,
 0.2299825242910243,
 0.03719773802216722,
 0.24392098372995807,
 0.1783587055969874,
 0.6759904243574179,
 0.1197617555878022,
 0.04274682226635633,
 0.27369984820298465,
 0.18999355015483932,
 0.2985208240580264,
 0.2872064881442138,
 1.0522764728046277,
 0.3694114556631419,
 0.09613536093441034,
 0.6648215681632191,
 0.3223120091564835,
 0.9274048223872483,
 0.2763221143255601,
 0.4501460109958479,
 0.2220472247972312,
 0.3644512582291407,
 0.7790042237519584,
 0.3749145302678043,
 1.2771681290160286,
 0.6760112486224217,
 0.5214358465170098,
 0.84041997296269,
 0.12054593136059581,
 0.18900376737686622,
 0.042561102427304424,
 0.17189805124670604,
 0.11383752243305952,
 0.2687780002387387,
 0.717538770963329,
 0.26636160206108384,
 0.04221743047344771,
 0.3259506533106764,
 0.20146525340606328,
 0.4059344185647537,
 0.07503287726465639,
 0.3011594076817088,
 0.1433563136989911,
 0.14803562944375281,
 0.23096999679467808,
 0.31133672787599703,
 0.2313639154827471,
 0.30343086620083537,
 0.4608439884577555,
 0.19149827372467804,
 0.2506814947310181,
 1.008458195025946,
 0.3776434264127751,
 0.344728062930179,
 0.2110402015365776,
 0.26582041849423843,
 1.1019000121595244,
 0.0,
 0.023068095385979804,
 0.014256779894199491,
 0.3209225608633755,
 0.00294468492742426,
 0.0,
 0.3346732726544143,
 0.38256681208088283,
 0.4916019617068597,
 0.06922156984602362,
 0.34458053250016984,
 0.0,
 0.09615667784109984,
 1.8271531669931351,
 0,
 0,
 0.0,
 0,
 0.0,
 0.03205594450156685,
 0.0,
 0.0,
 0.0,
 0,
 0.0,
 0,
 0.0,
 0,
 0,
 1.0,
 0]


p=2
q=2
d=0
fit = statsmodels.api.tsa.ARIMA(rollRate, (p,d,q)).fit(transparams=False)