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Add convenient method for variable allocation with inferred mode (#143)
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Co-authored-by: Pratyush Mishra <[email protected]>
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winderica and Pratyush authored Oct 18, 2024
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4 changes: 2 additions & 2 deletions CHANGELOG.md
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Expand Up @@ -23,8 +23,8 @@
- Add `UInt::rotate_{left,right}_in_place`.
- Add `{Boolean,UInt}::not_in_place`.
- Add `UInt::{from_bytes_le, from_bytes_be, to_bytes_be}`.
- [\#144](https://github.com/arkworks-rs/r1cs-std/pull/144)
- Add `ToConstraintFieldGadget` bounds to `CurveVar` and `FieldVar`
- [\#143](https://github.com/arkworks-rs/r1cs-std/pull/143) Add `AllocVar::new_variable_with_inferred_mode`.
- [\#144](https://github.com/arkworks-rs/r1cs-std/pull/144) Add `ToConstraintFieldGadget` bounds to `CurveVar` and `FieldVar`

### Improvements

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47 changes: 47 additions & 0 deletions src/alloc.rs
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Expand Up @@ -76,6 +76,53 @@ pub trait AllocVar<V: ?Sized, F: Field>: Sized {
) -> Result<Self, SynthesisError> {
Self::new_variable(cs, f, AllocationMode::Witness)
}

/// Allocates a new constant or private witness of type `Self` in the
/// `ConstraintSystem` `cs` with the allocation mode inferred from `cs`.
/// A constant is allocated if `cs` is `None`, and a private witness is
/// allocated otherwise.
///
/// A common use case is the creation of non-deterministic advice (a.k.a.
/// hints) in the circuit, where this method can avoid boilerplate code
/// while allowing optimization on circuit size.
///
/// For example, to compute `x_var / y_var` where `y_var` is a non-zero
/// variable, one can write:
/// ```
/// use ark_ff::PrimeField;
/// use ark_r1cs_std::{alloc::AllocVar, fields::{fp::FpVar, FieldVar}, R1CSVar};
/// use ark_relations::r1cs::SynthesisError;
///
/// fn div<F: PrimeField>(x_var: &FpVar<F>, y_var: &FpVar<F>) -> Result<FpVar<F>, SynthesisError> {
/// let cs = x_var.cs().or(y_var.cs());
/// let z_var = FpVar::new_variable_with_inferred_mode(cs, || Ok(x_var.value()? / y_var.value()?))?;
/// z_var.mul_equals(y_var, x_var)?;
/// Ok(z_var)
/// }
/// ```
/// In this example, if either `x_var` or `y_var` is a witness variable,
/// then `z_var` is also a witness variable. On the other hand, `z_var`
/// is a constant if both `x_var` and `y_var` are constants (i.e., `cs`
/// is `None`), and future operations on `z_var` do not generate any
/// constraints.
///
/// (Note that we use division as an example for simplicity. You may
/// call `x_var.mul_by_inverse(y_var)?` directly, which internally works
/// similarly to the above code.)
#[tracing::instrument(target = "r1cs", skip(cs, f))]
fn new_variable_with_inferred_mode<T: Borrow<V>>(
cs: impl Into<Namespace<F>>,
f: impl FnOnce() -> Result<T, SynthesisError>,
) -> Result<Self, SynthesisError> {
let ns: Namespace<F> = cs.into();
let cs = ns.cs();
let mode = if cs.is_none() {
AllocationMode::Constant
} else {
AllocationMode::Witness
};
Self::new_variable(cs, f, mode)
}
}

/// This blanket implementation just allocates variables in `Self`
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