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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use crate::{
    core::FfiResult,
    ffi::any::{AnyDomain, AnyMeasure, AnyMetric, AnyOdometer},
};

#[unsafe(no_mangle)]
pub extern "C" fn opendp_combinators__make_fully_adaptive_composition(
    input_domain: *const AnyDomain,
    input_metric: *const AnyMetric,
    output_measure: *const AnyMeasure,
) -> FfiResult<*mut AnyOdometer> {
    let input_domain = try_as_ref!(input_domain).clone();
    let input_metric = try_as_ref!(input_metric).clone();
    let output_measure = try_as_ref!(output_measure).clone();
    super::make_fully_adaptive_composition(input_domain, input_metric, output_measure).into()
}