pub struct Tree<H: Hash<Scalar>> { /* private fields */ }Expand description
A Merkle tree whose leaves are multiple polynomial evaluations.
The tree has N leaf in total, with N being the size of the extended domain, and each leaf has K polynomial evaluations, with K being the number of committed polynomials.
The internal nodes are single hashes.
Implementations§
Source§impl<H: Hash<Scalar>> Tree<H>
impl<H: Hash<Scalar>> Tree<H>
Sourcepub fn from_leaves(leaves: Vec<Vec<Scalar>>) -> Self
pub fn from_leaves(leaves: Vec<Vec<Scalar>>) -> Self
Constructs a Merkle tree from a matrix of polynomial evaluations.
More than one polynomial can be batched in the same tree because we our tree leaves are vectors rather than single scalars. The only requirement is that all polynomials have the same number of evaluations (not necessarily the same degree).
The provided leaves array has one entry for each leaf, and each leaf is a vector of K
polynomial evaluations, with K = number of batched polynomials.
Neither the outer array nor the inner arrays can be empty.
Sourcepub fn new(values: Vec<Vec<Scalar>>) -> Self
pub fn new(values: Vec<Vec<Scalar>>) -> Self
Constructs a Merkle tree from a matrix of polynomial evaluations.
The outer array of values contains one entry per committed polynomial, and each of the
inner arrays represents the evaluations of a polynomial.
Therefore values has as many elements as the number of polynomials being committed and the
length of the inner arrays must equal the size of the (extended) evaluation domain.
Note that the only difference between new and from_leaves is that the dimensions of the
provided matrix are inverted.
Neither the outer array nor the inner arrays can be empty.
Sourcepub fn num_polys(&self) -> usize
pub fn num_polys(&self) -> usize
Returns the number of polynomials stored in the tree.
Each leaf of the tree has this number of values.
Sourcepub fn num_leaves(&self) -> usize
pub fn num_leaves(&self) -> usize
Returns the number of leaves in the tree, corresponding to the size of the evaluation domain (always a power of 2).
Trait Implementations§
Auto Trait Implementations§
impl<H> Freeze for Tree<H>
impl<H> RefUnwindSafe for Tree<H>where
H: RefUnwindSafe,
impl<H> Send for Tree<H>where
H: Send,
impl<H> Sync for Tree<H>where
H: Sync,
impl<H> Unpin for Tree<H>where
H: Unpin,
impl<H> UnsafeUnpin for Tree<H>
impl<H> UnwindSafe for Tree<H>where
H: UnwindSafe,
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