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use crate::{
errors::FunctionError,
program::{new_scope, ConstrainedProgram},
GroupType,
OutputBytes,
};
use leo_typed::{Expression, Function, Input, InputVariable};
use snarkos_models::{
curves::{Field, PrimeField},
gadgets::r1cs::ConstraintSystem,
};
impl<F: Field + PrimeField, G: GroupType<F>> ConstrainedProgram<F, G> {
pub fn enforce_main_function<CS: ConstraintSystem<F>>(
&mut self,
cs: &mut CS,
scope: String,
function: Function,
input: Input,
) -> Result<OutputBytes, FunctionError> {
let function_name = new_scope(scope.clone(), function.get_name());
let registers = input.get_registers();
let mut input_variables = vec![];
for input_model in function.input.clone().into_iter() {
let (identifier, value) = match input_model {
InputVariable::InputKeyword(identifier) => {
let value = self.allocate_input_keyword(cs, identifier.clone(), &input)?;
(identifier, value)
}
InputVariable::FunctionInput(input_model) => {
let name = input_model.identifier.name.clone();
let input_option = input
.get(&name)
.ok_or(FunctionError::input_not_found(name.clone(), function.span.clone()))?;
let input_value = self.allocate_main_function_input(
cs,
input_model.type_,
name.clone(),
input_option,
function.span.clone(),
)?;
(input_model.identifier, input_value)
}
};
let input_name = new_scope(function_name.clone(), identifier.name.clone());
self.store(input_name, value);
input_variables.push(Expression::Identifier(identifier));
}
let span = function.span.clone();
let result_value = self.enforce_function(cs, scope, function_name, function, input_variables)?;
let output_bytes = OutputBytes::new_from_constrained_value(registers, result_value, span)?;
Ok(output_bytes)
}
}