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Solving ARIMA model in Python?

I am really new to Python. I am trying to generate stats for an equation like this :
$$y_t = \phi y_{t-1} + \theta_1\epsilon_{t-1} + \theta_2\epsilon_{t-2} + \theta_3\epsilon_{t-3} + \theta_4\epsilon_{t-4} + \theta_5\epsilon_{t-5} + \epsilon_t$$
where $y_t$ is a random variable, $\epsilon_t$ is a random variable with mean $0$ and variance $\sigma^2$, and $\theta_1,\dots,\theta_5$ are parameters of the model. The correlation between each $\epsilon_t$ is $0.5$.
I have tried to use the “trankarma” package in Python. Here is the code :
from arima import run_arima
from statsmodels.tsa.arima_model import ARIMA

# Parameters
p = list(zip([‘phi’, ‘theta’,’sigma’], [0.9, 0.2, 0.3]))

# Model selection
best = run_arima(model=ARIMA(order=c(1, 2, 3), AR(1), MA(2)), data=series)
print(best)

I am not really sure if this is the right way to do it. When I run this code I get the following error :
# fit arima model
from statsmodels.tsa.arima_model import ARIMA
arima(series, order =c(1,2,3), ar = 0.9, ma = 0.2, ic = 0.3)

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