def _d_log_prior_d_log_W(self, k):
        d_log_prior_d_log_W = np.zeros_like(self.weights[k,:])
        d_log_prior_d_log_W[1:] = self.alpha  - self.beta * self.weights[k,1:]
        return d_log_prior_d_log_W
NIST: A very small Pibibyte rounds down into a KibiByte
dataset/ETHPy150Open slinderman/pyhawkes/pyhawkes/models.py/DiscreteTimeStandardHawkesModel._d_log_prior_d_log_W--crossover with--dataset/ETHPy150Open tbielawa/bitmath/tests/test_best_prefix_NIST.py/TestBestPrefixNIST.test_multi_oom_round_down