Struct kimchi::circuits::berkeley_columns::Environment

pub struct Environment<'a, F: FftField> {
    pub witness: &'a [Evaluations<F, D<F>>; 15],
    pub coefficient: &'a [Evaluations<F, D<F>>; 15],
    pub vanishes_on_zero_knowledge_and_previous_rows: &'a Evaluations<F, D<F>>,
    pub z: &'a Evaluations<F, D<F>>,
    pub index: HashMap<GateType, &'a Evaluations<F, D<F>>>,
    pub l0_1: F,
    pub constants: Constants<F>,
    pub challenges: Challenges<F>,
    pub domain: EvaluationDomains<F>,
    pub lookup: Option<LookupEnvironment<'a, F>>,
}

The collection of polynomials (all in evaluation form) and constants required to evaluate an expression as a polynomial.

All are evaluations.

Fields

witness: &'a [Evaluations<F, D<F>>; 15]

The witness column polynomials

coefficient: &'a [Evaluations<F, D<F>>; 15]

The coefficient column polynomials

vanishes_on_zero_knowledge_and_previous_rows: &'a Evaluations<F, D<F>>

The polynomial that vanishes on the zero-knowledge rows and the row before.

z: &'a Evaluations<F, D<F>>

The permutation aggregation polynomial.

index: HashMap<GateType, &'a Evaluations<F, D<F>>>

The index selector polynomials.

l0_1: F

The value prod_{j != 1} (1 - omega^j), used for efficiently computing the evaluations of the unnormalized Lagrange basis polynomials.

constants: Constants<F>

Constant values required

challenges: Challenges<F>

Challenges from the IOP.

domain: EvaluationDomains<F>

The domains used in the PLONK argument.

lookup: Option<LookupEnvironment<'a, F>>

Lookup specific polynomials

Trait Implementations

impl<'a, F: FftField> ColumnEnvironment<'a, F> for Environment<'a, F>

type Column = Column

The generic type of column the environment can use. In other words, with the multi-variate polynomial analogy, it is the variables the multi-variate polynomials are defined upon. i.e. for a polynomial P(X, Y, Z), the type will represent the variable X, Y and Z.

fn get_column(&self, col: &Self::Column) -> Option<&'a Evaluations<F, D<F>>>

Return the evaluation of the given column, over the domain.

fn get_domain(&self, d: Domain) -> D<F>

fn column_domain(&self, col: &Self::Column) -> Domain

Defines the domain over which the column is evaluated

fn get_constants(&self) -> &Constants<F>

Return the constants parameters that the expression might use. For instance, it can be the matrix used by the linear layer in the permutation.

fn get_challenges(&self) -> &Challenges<F>

Return the challenges, coined by the verifier.

fn vanishes_on_zero_knowledge_and_previous_rows( &self ) -> &'a Evaluations<F, D<F>>

fn l0_1(&self) -> F

Return the value prod_{j != 1} (1 - omega^j), used for efficiently computing the evaluations of the unnormalized Lagrange basis polynomials.