package tezos-plonk

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Plonk zero-knowledge proving system

Install 

dune-project
 Dependency

research-development.nomadic-labs.com Readme Edit opam file Versions (6)

Authors

  1. N
    Nomadic Labs Privacy Team

Maintainers

  1. P
    privacy-team@nomadic-labs.com

Sources

privacy-team-v1.0.0.tar.gz
md5=c9007a234fbacaddbc652c139cac56db
sha512=b67825a9259c27ccba51a4cb98056985c93f74f5211d422ce8ee8c35cda748c22bd1e59b3a584a79f96c1be21a409a12ee4b705346e1319c6d8bf45e81029f93

doc/tezos-plonk.aggregation/Aggregation/Polynomial_protocol/Make_aggregation/argument-1-PC/Polynomial/Polynomial/index.html

Module Polynomial.Polynomial

This library implements polynomials of Bls12_381.Fr as arrays of contiguous memory in C, allowing much better performances for algorithms that scan the polynomials.

An array a of size n represents the polynomial $\sum_i^(n-1) ai X^i$ The length of a is always greater or equal than the degree+1 of its corresponding polynomial, if greater it padded with zeros. As a consequence a polynomial has many representations, namely all arrays with trailing zeros.

type scalar = scalar
type t
val t : t Repr.t
val allocate : int -> t

allocate len creates a zero polynomial of size len

val erase : t -> unit

erase p overwrites a polynomial p with a zero polynomial of the same size as the polynomial p

val generate_biased_random_polynomial : int -> t

generate_biased_random_polynomial n generates a random polynomial of degree strictly lower than n, the distribution is NOT uniform, it is biased towards sparse polynomials and particularly towards the zero polynomial

val random : int -> t

random n generates a uniformly sampled polynomial among the set of all polynomials of degree strictly lower than n

val degree : t -> int

degree p returns the degree of a polynomial p. Returns -1 for the zero polynomial

val get : t -> int -> scalar

get p i returns the i-th element of a given array p, a coefficient of X^i in p

val to_string : t -> string

to_string p returns the string representation of a polynomial p

val copy : ?offset:int -> ?len:int -> t -> t

copy p returns a copy of a polynomial p

val to_dense_coefficients : t -> scalar array

to_dense_coefficients p returns the dense representation of a polynomial p, i.e., it converts a C array to an OCaml array

val of_dense : scalar array -> t

of_dense p creates a value of type t from the dense representation of a polynomial p, i.e., it converts an OCaml array to a C array

val of_coefficients : (scalar * int) list -> t

of_coefficients p creates a value of type t from the sparse representation of a polynomial p, i.e., it converts an OCaml array to a C array

val equal : t -> t -> bool

equal a b checks whether a polynomial a is equal to a polynomial b

val is_zero : t -> bool

is_zero p checks whether a polynomial p is the zero polynomial

val zero : t

zero is the zero polynomial, the neutral element for polynomial addition

val one : t

one is the constant polynomial one, the neutral element for polynomial multiplication

val add : t -> t -> t

add computes polynomial addition

val add_inplace : t -> t -> t -> unit

add_inplace res a b computes polynomial addition of a and b and writes the result in res

Note: res can be equal to either a or b

val sub : t -> t -> t

sub computes polynomial subtraction

val sub_inplace : t -> t -> t -> unit

sub_inplace res a b computes polynomial subtraction of a and b and writes the result in res

Note: res can be equal to either a or b

val mul : t -> t -> t

mul computes polynomial multiplication

Note: naive quadratic algorithm, result's size is the sum of arguments' size

val mul_by_scalar : scalar -> t -> t

mul_by_scalar computes multiplication of a polynomial by a blst_fr element

val mul_by_scalar_inplace : t -> scalar -> t -> unit

mul_by_scalar_inplace res s p computes multiplication of a polynomial p by a blst_fr element s and stores it in res

val linear : t list -> scalar list -> t

linear p s computes ∑ᵢ s.(i)·p.(i)

val linear_with_powers : t list -> scalar -> t

linear_with_powers p s computes ∑ᵢ sⁱ·p.(i). This function is more efficient than linear + powers

val opposite : t -> t

opposite computes polynomial negation

val opposite_inplace : t -> unit

opposite_inplace p computes polynomial negation

Note: The argument p is overwritten

val evaluate : t -> scalar -> scalar

evaluate p x evaluates a polynomial p at x

exception Rest_not_null of string
val division_xn : t -> int -> scalar -> t * t

division_xn p n c returns the quotient and remainder of the division of p by (X^n + c)

val mul_xn : t -> int -> scalar -> t

mul_xn p n c returns the product of p and (X^n + c)

val derivative : t -> t

derivative p returns the formal derivative of p

val split : nb_chunks:int -> int -> t -> t list
val blind : nb_blinds:int -> int -> t -> t * t

blind ~nb_blinds n p adds to polynomial p a random multiple of polynomial (X^n - 1), chosen by uniformly sampling a polynomial b of degree strictly lower than nb_blinds and multiplying it by (X^n - 1), b is returned as the second argument

val (=) : t -> t -> bool

Infix operator for equal

val (+) : t -> t -> t

Infix operator for add

val (-) : t -> t -> t

Infix operator for sub

val (*) : t -> t -> t

Infix operator for mul

val constant : scalar -> t

constant s creates a value of type t from a blst_fr element s