opendp 0.14.2-dev.20260401.2

A library of differential privacy algorithms for the statistical analysis of sensitive private data.
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# type: ignore 
def sample_geometric_exp_slow(x) -> int: 
    k = 0 
    while True: 
        if sample_bernoulli_exp(x): # |\label{line:B}| 
            k += 1 
        else: 
            return k