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 make_row_by_row(
    input_domain: DI, 
    input_metric: M, 
    output_row_domain: DO, 
    # a function from input domain's row type to output domain's row type
    row_function: Callable([[DI_RowDomain_Carrier], DO_RowDomain_Carrier])
) -> Transformation:
    
    return make_row_by_row_fallible(
        input_domain, input_metric, output_row_domain, row_function
    )