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https://github.com/AleoHQ/leo.git
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add support for refactored array type in compiler
This commit is contained in:
parent
1daf6c9831
commit
d7ff808660
@ -14,7 +14,7 @@
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// You should have received a copy of the GNU General Public License
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// along with the Leo library. If not, see <https://www.gnu.org/licenses/>.
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use crate::PositiveNumber;
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use crate::{PositiveNumber, Span};
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use leo_grammar::types::ArrayDimensions as GrammarArrayDimensions;
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use leo_input::types::ArrayDimensions as InputArrayDimensions;
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@ -23,16 +23,71 @@ use std::fmt;
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/// A vector of positive numbers that represent array dimensions.
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/// Can be used in an array [`Type`] or an array initializer [`Expression`].
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#[derive(Debug, Clone, PartialEq, Eq, Hash, Serialize, Deserialize)]
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#[derive(Debug, Default, Clone, PartialEq, Eq, Hash, Serialize, Deserialize)]
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pub struct ArrayDimensions(pub Vec<PositiveNumber>);
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impl ArrayDimensions {
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///
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/// Creates a new `PositiveNumber` from the given `usize` and `Span`.
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/// Appends the new `PositiveNumber` to the array dimensions.
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///
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pub fn push_usize(&mut self, number: usize, span: Span) {
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let positive_number = PositiveNumber {
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value: number.to_string(),
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span,
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};
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self.0.push(positive_number)
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}
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///
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/// Appends a vector of array dimensions to the self array dimensions.
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///
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pub fn append(&mut self, other: &mut ArrayDimensions) {
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self.0.append(&mut other.0)
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}
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///
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/// Returns the array dimensions as strings.
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///
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pub fn to_strings(&self) -> Vec<String> {
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self.0.iter().map(|number| number.to_string()).collect()
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}
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///
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/// Returns `true` if the all array dimensions have been removed.
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///
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/// This method is called after repeated calls to `remove_first`.
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///
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pub fn is_empty(&self) -> bool {
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self.0.is_empty()
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}
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///
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/// Returns the first dimension of the array.
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///
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pub fn first(&self) -> Option<&PositiveNumber> {
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self.0.first()
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}
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///
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/// Attempts to remove the first dimension from the array.
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///
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/// If the first dimension exists, then remove and return `Some(PositiveNumber)`.
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/// If the first dimension does not exist, then return `None`.
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///
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pub fn remove_first(&mut self) -> Option<PositiveNumber> {
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// If there are no dimensions in the array, then return None.
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if self.0.get(0).is_none() {
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return None;
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}
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// Remove the first dimension.
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let removed = self.0.remove(0);
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// Return the first dimension.
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Some(removed)
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}
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}
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/// Create a new [`ArrayDimensions`] from a [`GrammarArrayDimensions`] in a Leo program file.
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@ -109,10 +109,10 @@ impl ExpressionError {
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Self::new_from_span(message, span)
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}
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pub fn invalid_index(actual: String, span: Span) -> Self {
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pub fn invalid_index(actual: String, span: &Span) -> Self {
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let message = format!("index must resolve to an integer, found `{}`", actual);
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Self::new_from_span(message, span)
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Self::new_from_span(message, span.to_owned())
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}
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pub fn invalid_length(expected: usize, actual: usize, span: Span) -> Self {
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@ -157,6 +157,12 @@ impl ExpressionError {
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Self::new_from_span(message, span)
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}
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pub fn undefined_tuple(actual: String, span: Span) -> Self {
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let message = format!("tuple `{}` must be declared before it is used in an expression", actual);
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Self::new_from_span(message, span)
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}
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pub fn undefined_circuit(actual: String, span: Span) -> Self {
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let message = format!(
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"circuit `{}` must be declared before it is used in an expression",
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@ -22,7 +22,7 @@ use crate::{
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value::ConstrainedValue,
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GroupType,
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};
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use leo_ast::{Expression, Span, SpreadOrExpression, Type};
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use leo_ast::{ArrayDimensions, Expression, PositiveNumber, Span, SpreadOrExpression, Type};
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use snarkos_models::{
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curves::{Field, PrimeField},
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@ -41,20 +41,28 @@ impl<F: Field + PrimeField, G: GroupType<F>> ConstrainedProgram<F, G> {
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span: Span,
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) -> Result<ConstrainedValue<F, G>, ExpressionError> {
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// Check explicit array type dimension if given
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let mut expected_dimensions = vec![];
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let mut expected_dimension = None;
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if let Some(type_) = expected_type {
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match type_ {
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Type::Array(ref type_, ref dimensions) => {
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let number = match dimensions.first() {
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Some(number) => *number,
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Type::Array(type_, mut dimensions) => {
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// Remove the first dimension of the array.
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let first = match dimensions.remove_first() {
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Some(number) => {
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// Parse the array dimension into a `usize`.
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parse_index(&number, &span)?
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}
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None => return Err(ExpressionError::unexpected_array(type_.to_string(), span)),
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};
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expected_dimensions.push(number);
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expected_type = Some(type_.outer_dimension(dimensions));
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// Update the expected dimension to the first dimension.
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expected_dimension = Some(first);
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// Update the expected type to a new array type with the first dimension removed.
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expected_type = Some(inner_array_type(*type_, dimensions));
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}
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ref type_ => {
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// Return an error if the expected type is not an array.
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return Err(ExpressionError::unexpected_array(type_.to_string(), span));
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}
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}
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@ -88,15 +96,44 @@ impl<F: Field + PrimeField, G: GroupType<F>> ConstrainedProgram<F, G> {
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}
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}
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// Check expected_dimensions if given
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if !expected_dimensions.is_empty() && expected_dimensions[expected_dimensions.len() - 1] != result.len() {
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return Err(ExpressionError::invalid_length(
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expected_dimensions[expected_dimensions.len() - 1],
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result.len(),
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span,
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));
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// Check expected_dimension if given.
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if let Some(dimension) = expected_dimension {
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// Return an error if the expected dimension != the actual dimension.
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if dimension != result.len() {
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return Err(ExpressionError::invalid_length(dimension, result.len(), span));
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}
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}
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Ok(ConstrainedValue::Array(result))
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}
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}
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///
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/// Returns the index as a usize.
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///
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pub fn parse_index(number: &PositiveNumber, span: &Span) -> Result<usize, ExpressionError> {
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number
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.value
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.parse::<usize>()
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.map_err(|_| ExpressionError::invalid_index(number.value.to_owned(), span))
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}
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///
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/// Returns the type of the inner array given an array element and array dimensions.
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///
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/// If the array has no dimensions, then an inner array does not exist. Simply return the given
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/// element type.
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///
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/// If the array has dimensions, then an inner array exists. Create a new type for the
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/// inner array. The element type of the new array should be the same as the old array. The
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/// dimensions of the new array should be the old array dimensions with the first dimension removed.
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///
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pub fn inner_array_type(element_type: Type, dimensions: ArrayDimensions) -> Type {
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if dimensions.is_empty() {
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// The array has one dimension.
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element_type
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} else {
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// The array has multiple dimensions.
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Type::Array(Box::new(element_type), dimensions)
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}
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}
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@ -36,7 +36,7 @@ impl<F: Field + PrimeField, G: GroupType<F>> ConstrainedProgram<F, G> {
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let expected_type = Some(Type::IntegerType(IntegerType::U32));
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match self.enforce_operand(cs, file_scope, function_scope, expected_type, index, &span)? {
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ConstrainedValue::Integer(number) => Ok(number.to_usize(span)?),
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value => Err(ExpressionError::invalid_index(value.to_string(), span.to_owned())),
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value => Err(ExpressionError::invalid_index(value.to_string(), span)),
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}
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}
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}
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@ -260,9 +260,15 @@ impl<F: Field + PrimeField, G: GroupType<F>> ConstrainedProgram<F, G> {
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Expression::Tuple(tuple, span) => {
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self.enforce_tuple(cs, file_scope, function_scope, expected_type, tuple, span)
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}
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Expression::TupleAccess(tuple, index, span) => {
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self.enforce_tuple_access(cs, file_scope, function_scope, expected_type, *tuple, index, &span)
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}
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Expression::TupleAccess(tuple_w_index, span) => self.enforce_tuple_access(
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cs,
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file_scope,
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function_scope,
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expected_type,
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tuple_w_index.0,
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tuple_w_index.1,
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&span,
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),
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// Circuits
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Expression::Circuit(circuit_name, members, span) => {
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@ -16,8 +16,8 @@
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//! Enforces array access in a compiled Leo program.
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use crate::{errors::ExpressionError, program::ConstrainedProgram, value::ConstrainedValue, GroupType};
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use leo_ast::{Expression, Span, Type};
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use crate::{errors::ExpressionError, parse_index, program::ConstrainedProgram, value::ConstrainedValue, GroupType};
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use leo_ast::{Expression, PositiveNumber, Span, Type};
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use snarkos_models::{
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curves::{Field, PrimeField},
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@ -33,18 +33,23 @@ impl<F: Field + PrimeField, G: GroupType<F>> ConstrainedProgram<F, G> {
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function_scope: &str,
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expected_type: Option<Type>,
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tuple: Expression,
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index: usize,
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index: PositiveNumber,
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span: &Span,
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) -> Result<ConstrainedValue<F, G>, ExpressionError> {
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// Get the tuple values.
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let tuple = match self.enforce_operand(cs, file_scope, function_scope, expected_type, tuple, &span)? {
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ConstrainedValue::Tuple(tuple) => tuple,
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value => return Err(ExpressionError::undefined_array(value.to_string(), span.to_owned())),
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};
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if index > tuple.len() - 1 {
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return Err(ExpressionError::index_out_of_bounds(index, span.to_owned()));
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// Parse the tuple index.
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let index_usize = parse_index(&index, &span)?;
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// Check for out of bounds access.
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if index_usize > tuple.len() - 1 {
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return Err(ExpressionError::index_out_of_bounds(index_usize, span.to_owned()));
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}
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Ok(tuple[index].to_owned())
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Ok(tuple[index_usize].to_owned())
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}
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}
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@ -18,13 +18,16 @@
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use crate::{
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errors::FunctionError,
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inner_array_type,
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parse_index,
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program::{new_scope, ConstrainedProgram},
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value::ConstrainedValue,
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GroupType,
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};
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use leo_ast::{InputValue, Span, Type};
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use leo_ast::{ArrayDimensions, InputValue, Span, Type};
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use crate::errors::ExpressionError;
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use snarkos_models::{
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curves::{Field, PrimeField},
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gadgets::r1cs::ConstraintSystem,
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@ -36,11 +39,27 @@ impl<F: Field + PrimeField, G: GroupType<F>> ConstrainedProgram<F, G> {
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cs: &mut CS,
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name: &str,
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array_type: Type,
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array_dimensions: Vec<usize>,
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mut array_dimensions: ArrayDimensions,
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input_value: Option<InputValue>,
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span: &Span,
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) -> Result<ConstrainedValue<F, G>, FunctionError> {
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let expected_length = array_dimensions[0];
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let expected_length = match array_dimensions.remove_first() {
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Some(number) => {
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// Parse the array dimension into a `usize`.
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parse_index(&number, &span)?
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}
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None => {
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return Err(FunctionError::ExpressionError(ExpressionError::unexpected_array(
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array_type.to_string(),
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span.to_owned(),
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)));
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}
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};
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// Get the expected type for each array element.
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let inner_array_type = inner_array_type(array_type, array_dimensions);
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// Build the array value using the expected types.
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let mut array_value = vec![];
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match input_value {
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@ -48,11 +67,10 @@ impl<F: Field + PrimeField, G: GroupType<F>> ConstrainedProgram<F, G> {
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// Allocate each value in the current row
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for (i, value) in arr.into_iter().enumerate() {
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let value_name = new_scope(&name, &i.to_string());
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let value_type = array_type.outer_dimension(&array_dimensions);
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array_value.push(self.allocate_main_function_input(
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cs,
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value_type,
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inner_array_type.clone(),
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&value_name,
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Some(value),
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span,
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@ -63,9 +81,14 @@ impl<F: Field + PrimeField, G: GroupType<F>> ConstrainedProgram<F, G> {
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// Allocate all row values as none
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for i in 0..expected_length {
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let value_name = new_scope(&name, &i.to_string());
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let value_type = array_type.outer_dimension(&array_dimensions);
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array_value.push(self.allocate_main_function_input(cs, value_type, &value_name, None, span)?);
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array_value.push(self.allocate_main_function_input(
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cs,
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inner_array_type.clone(),
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&value_name,
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None,
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span,
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)?);
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}
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}
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_ => {
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@ -83,8 +83,8 @@ impl<F: Field + PrimeField, G: GroupType<F>> ConstrainedProgram<F, G> {
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new_value,
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span,
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),
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AssigneeAccess::Tuple(index) => {
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self.assign_tuple(cs, indicator, &variable_name, index, new_value, span)
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AssigneeAccess::Tuple(index, span) => {
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self.assign_tuple(cs, indicator, &variable_name, index, new_value, &span)
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}
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AssigneeAccess::Member(identifier) => {
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// Mutate a circuit variable using the self keyword.
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@ -16,8 +16,8 @@
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//! Enforces a tuple assignment statement in a compiled Leo program.
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use crate::{errors::StatementError, program::ConstrainedProgram, value::ConstrainedValue, GroupType};
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use leo_ast::Span;
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use crate::{errors::StatementError, parse_index, program::ConstrainedProgram, value::ConstrainedValue, GroupType};
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use leo_ast::{PositiveNumber, Span};
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use snarkos_models::{
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curves::{Field, PrimeField},
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@ -33,28 +33,32 @@ impl<F: Field + PrimeField, G: GroupType<F>> ConstrainedProgram<F, G> {
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cs: &mut CS,
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indicator: Option<Boolean>,
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name: &str,
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index: usize,
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index: PositiveNumber,
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mut new_value: ConstrainedValue<F, G>,
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span: &Span,
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) -> Result<(), StatementError> {
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// Get the indicator value.
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let condition = indicator.unwrap_or(Boolean::Constant(true));
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// Parse the index.
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let index_usize = parse_index(&index, &span)?;
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// Modify the single value of the tuple in place
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match self.get_mutable_assignee(name, &span)? {
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ConstrainedValue::Tuple(old) => {
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new_value.resolve_type(Some(old[index].to_type(&span)?), &span)?;
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new_value.resolve_type(Some(old[index_usize].to_type(&span)?), &span)?;
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let selected_value = ConstrainedValue::conditionally_select(
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cs.ns(|| format!("select {} {}:{}", new_value, span.line, span.start)),
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&condition,
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&new_value,
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&old[index],
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&old[index_usize],
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)
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.map_err(|_| {
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StatementError::select_fail(new_value.to_string(), old[index].to_string(), span.to_owned())
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StatementError::select_fail(new_value.to_string(), old[index_usize].to_string(), span.to_owned())
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})?;
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old[index] = selected_value;
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old[index_usize] = selected_value;
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}
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_ => return Err(StatementError::tuple_assign_index(span.to_owned())),
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}
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@ -26,7 +26,7 @@ use crate::{
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GroupType,
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Integer,
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};
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use leo_ast::{Circuit, Function, GroupValue, Identifier, Span, Type};
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use leo_ast::{ArrayDimensions, Circuit, Function, GroupValue, Identifier, Span, Type};
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use leo_core::Value;
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use snarkos_errors::gadgets::SynthesisError;
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@ -114,7 +114,8 @@ impl<F: Field + PrimeField, G: GroupType<F>> ConstrainedValue<F, G> {
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// Data type wrappers
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ConstrainedValue::Array(array) => {
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let array_type = array[0].to_type(span)?;
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let mut dimensions = vec![array.len()];
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let mut dimensions = ArrayDimensions::default();
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dimensions.push_usize(array.len(), span.to_owned());
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// Nested array type
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if let Type::Array(inner_type, inner_dimensions) = &array_type {
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