binius_core/polynomial/
test_utils.rs
use binius_field::{packed::set_packed_slice, BinaryField1b, Field, PackedField};
use crate::polynomial::MultivariatePoly;
pub fn hypercube_evals_from_oracle<F: Field>(oracle: &dyn MultivariatePoly<F>) -> Vec<F> {
(0..(1 << oracle.n_vars()))
.map(|i| {
oracle
.evaluate(&decompose_index_to_hypercube_point(oracle.n_vars(), i))
.unwrap()
})
.collect()
}
pub fn decompose_index_to_hypercube_point<F: Field>(n_vars: usize, index: usize) -> Vec<F> {
(0..n_vars)
.map(|k| match (index >> k) & 1 {
0 => F::ZERO,
_ => F::ONE,
})
.collect()
}
pub fn packed_slice<P>(assignments: &[(std::ops::Range<usize>, u8)]) -> Vec<P>
where
P: PackedField<Scalar = BinaryField1b>,
{
assert_eq!(assignments[0].0.start, 0, "First assignment must start at index 0");
assert_eq!(
assignments[assignments.len() - 1].0.end % P::WIDTH,
0,
"Last assignment must end at an index divisible by packing width"
);
for i in 1..assignments.len() {
assert_eq!(
assignments[i].0.start,
assignments[i - 1].0.end,
"2 assignments following each other can't be overlapping or have holes in between"
);
}
assignments
.iter()
.for_each(|(r, _)| assert!(r.end > r.start, "Range must have positive size"));
let packed_len = assignments
.iter()
.map(|(range, _)| range.end)
.max()
.unwrap_or(0)
.div_ceil(P::WIDTH);
let mut result: Vec<P> = vec![P::default(); packed_len];
for (range, value) in assignments {
for i in range.clone() {
set_packed_slice(&mut result, i, P::Scalar::from(*value));
}
}
result
}