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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:

def get_ts_data_parts(X):
    '''
    Separates time series data object into time series variables and contextual variables

    Parameters
    ----------
    X : array-like, shape [n_series, ...]
       Time series data and (optionally) contextual data

    Returns
    -------
    Xt : array-like, shape [n_series, ]
        Time series data
    Xs : array-like, shape [n_series, n_contextd = np.colum _variables]
        contextual variables

    '''
    if not isinstance(X, TS_Data):
        return X, None
    return X.ts_data, X.context_data