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https://github.com/AleoHQ/leo.git
synced 2024-12-26 11:06:00 +03:00
support tuple access and comparison
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parent
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@ -113,6 +113,12 @@ impl StatementError {
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Self::new_from_span(message, span)
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}
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pub fn multiple_definition(value: String, span: Span) -> Self {
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let message = format!("cannot assign multiple variables to a single value: {}", value,);
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Self::new_from_span(message, span)
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}
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pub fn select_fail(first: String, second: String, span: Span) -> Self {
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let message = format!(
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"Conditional select gadget failed to select between `{}` or `{}`",
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@ -1,7 +1,7 @@
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//! Enforces a definition statement in a compiled Leo program.
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use crate::{errors::StatementError, program::ConstrainedProgram, ConstrainedValue, GroupType};
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use leo_typed::{Declare, Expression, Span, VariableName, Variables};
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use leo_typed::{Declare, Expression, Span, Type, VariableName, Variables};
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use snarkos_models::{
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curves::{Field, PrimeField},
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@ -29,6 +29,82 @@ impl<F: Field + PrimeField, G: GroupType<F>> ConstrainedProgram<F, G> {
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Ok(())
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}
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fn enforce_expressions<CS: ConstraintSystem<F>>(
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&mut self,
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cs: &mut CS,
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file_scope: String,
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function_scope: String,
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types: Vec<Type>,
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expressions: Vec<Expression>,
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) -> Result<Vec<ConstrainedValue<F, G>>, StatementError> {
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let implicit_types = types.is_empty();
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let mut expected_types = vec![];
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for i in 0..expressions.len() {
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let expected_type = if implicit_types { vec![] } else { vec![types[i].clone()] };
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expected_types.push(expected_type);
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}
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let mut values = vec![];
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for (expression, expected_type) in expressions.into_iter().zip(expected_types.into_iter()) {
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let value = self.enforce_expression(
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cs,
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file_scope.clone(),
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function_scope.clone(),
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&expected_type,
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expression,
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)?;
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values.push(value);
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}
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Ok(values)
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}
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fn enforce_tuple_definition<CS: ConstraintSystem<F>>(
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&mut self,
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cs: &mut CS,
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file_scope: String,
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function_scope: String,
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is_constant: bool,
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variables: Variables,
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expressions: Vec<Expression>,
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span: Span,
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) -> Result<(), StatementError> {
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let values = self.enforce_expressions(cs, file_scope, function_scope.clone(), variables.types, expressions)?;
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let tuple = ConstrainedValue::Tuple(values);
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let variable = variables.names[0].clone();
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self.enforce_single_definition(cs, function_scope, is_constant, variable, tuple, span)
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}
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fn enforce_multiple_definition<CS: ConstraintSystem<F>>(
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&mut self,
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cs: &mut CS,
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function_scope: String,
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is_constant: bool,
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variables: Variables,
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values: Vec<ConstrainedValue<F, G>>,
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span: Span,
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) -> Result<(), StatementError> {
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if values.len() != variables.names.len() {
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return Err(StatementError::invalid_number_of_definitions(
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values.len(),
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variables.names.len(),
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span,
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));
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}
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for (variable, value) in variables.names.into_iter().zip(values.into_iter()) {
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self.enforce_single_definition(cs, function_scope.clone(), is_constant, variable, value, span.clone())?;
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}
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Ok(())
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}
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pub fn enforce_definition_statement<CS: ConstraintSystem<F>>(
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&mut self,
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cs: &mut CS,
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@ -39,60 +115,67 @@ impl<F: Field + PrimeField, G: GroupType<F>> ConstrainedProgram<F, G> {
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expressions: Vec<Expression>,
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span: Span,
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) -> Result<(), StatementError> {
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let num_variables = variables.names.len();
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let num_values = expressions.len();
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let is_constant = match declare {
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Declare::Let => false,
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Declare::Const => true,
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};
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if variables.names.len() == 1 && expressions.len() == 1 {
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if num_variables == 1 && num_values == 1 {
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// Define a single variable with a single value
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let variable = variables.names[0].clone();
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let expression = self.enforce_expression(
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let expression = match self.enforce_expression(
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cs,
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file_scope.clone(),
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function_scope.clone(),
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&variables.types,
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expressions[0].clone(),
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)?;
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)? {
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ConstrainedValue::Return(values) => ConstrainedValue::Tuple(values),
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value => value,
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};
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self.enforce_single_definition(cs, function_scope, is_constant, variable, expression, span)
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} else if variables.names.len() == 1 && expressions.len() > 1 {
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} else if num_variables == 1 && num_values > 1 {
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// Define a tuple (single variable with multiple values)
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let implicit_types = variables.types.is_empty();
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let mut expected_types = vec![];
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self.enforce_tuple_definition(
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cs,
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file_scope,
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function_scope,
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is_constant,
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variables,
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expressions,
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span,
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)
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} else if num_variables > 1 && num_values == 1 {
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// Define multiple variables for an expression that returns multiple results (multiple definition)
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for i in 0..expressions.len() {
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let expected_type = if implicit_types {
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vec![]
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} else {
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vec![variables.types[i].clone()]
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};
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let values = match self.enforce_expression(
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cs,
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file_scope.clone(),
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function_scope.clone(),
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&variables.types,
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expressions[0].clone(),
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)? {
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ConstrainedValue::Return(values) => values,
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value => return Err(StatementError::multiple_definition(value.to_string(), span.clone())),
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};
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expected_types.push(expected_type);
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}
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let mut values = vec![];
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for (expression, expected_type) in expressions.into_iter().zip(expected_types.into_iter()) {
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let value = self.enforce_expression(
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cs,
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file_scope.clone(),
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function_scope.clone(),
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&expected_type,
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expression,
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)?;
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values.push(value);
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}
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let tuple = ConstrainedValue::Tuple(values);
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let variable = variables.names[0].clone();
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self.enforce_single_definition(cs, function_scope, is_constant, variable, tuple, span)
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self.enforce_multiple_definition(cs, function_scope, is_constant, variables, values, span)
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} else {
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Ok(())
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// Define multiple variables for multiple expressions
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let values = self.enforce_expressions(
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cs,
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file_scope,
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function_scope.clone(),
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variables.types.clone(),
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expressions,
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)?;
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self.enforce_multiple_definition(cs, function_scope, is_constant, variables, values, span)
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}
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}
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}
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@ -295,7 +295,7 @@ impl<F: Field + PrimeField, G: GroupType<F>> fmt::Display for ConstrainedValue<F
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write!(f, "]")
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}
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ConstrainedValue::Tuple(ref tuple) => {
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let values = tuple.iter().map(|x| format!("{}", x)).collect::<Vec<_>>().join(",");
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let values = tuple.iter().map(|x| format!("{}", x)).collect::<Vec<_>>().join(", ");
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write!(f, "({})", values)
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}
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@ -366,6 +366,12 @@ impl<F: Field + PrimeField, G: GroupType<F>> ConditionalEqGadget<F> for Constrai
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}
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Ok(())
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}
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(ConstrainedValue::Tuple(tuple_1), ConstrainedValue::Tuple(tuple_2)) => {
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for (i, (left, right)) in tuple_1.into_iter().zip(tuple_2.into_iter()).enumerate() {
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left.conditional_enforce_equal(cs.ns(|| format!("tuple index {}", i)), right, condition)?;
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}
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Ok(())
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}
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(_, _) => return Err(SynthesisError::Unsatisfiable),
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}
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}
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@ -412,6 +418,20 @@ impl<F: Field + PrimeField, G: GroupType<F>> CondSelectGadget<F> for Constrained
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ConstrainedValue::Array(array)
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}
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(ConstrainedValue::Tuple(tuple_1), ConstrainedValue::Array(tuple_2)) => {
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let mut array = vec![];
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for (i, (first, second)) in tuple_1.into_iter().zip(tuple_2.into_iter()).enumerate() {
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array.push(Self::conditionally_select(
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cs.ns(|| format!("tuple index {}", i)),
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cond,
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first,
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second,
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)?);
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}
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ConstrainedValue::Tuple(array)
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}
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(ConstrainedValue::Function(identifier_1, function_1), ConstrainedValue::Function(_, _)) => {
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// This is a no-op. functions cannot hold circuit values
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// However, we must return a result here
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