opendp 0.16.0

A library of differential privacy algorithms for the statistical analysis of sensitive private data.
Documentation 
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# type: ignore
def make_is_equal(
    input_domain: VectorDomain[AtomDomain[TIA]], input_metric: M, value: TIA
):  # |\label{line:def}|
    output_row_domain = atom_domain(T=bool)

    def is_equal(arg: TA) -> TA:  # |\label{line:function}|
        return value == arg

    return make_row_by_row(  # |\label{line:row-by-row}|
        input_domain, input_metric, output_row_domain, is_equal
    )