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chore: unbundle check_array_is_initialized (noir-lang#5451)
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# Description

## Problem\*

Resolves <!-- Link to GitHub Issue -->

## Summary\*

`check_array_is_initialized` does 3 different things so this PR
unbundles these

## Additional Context



## Documentation\*

Check one:
- [x] No documentation needed.
- [ ] Documentation included in this PR.
- [ ] **[For Experimental Features]** Documentation to be submitted in a
separate PR.

# PR Checklist\*

- [x] I have tested the changes locally.
- [x] I have formatted the changes with [Prettier](https://prettier.io/)
and/or `cargo fmt` on default settings.
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@TomAFrench
TomAFrench authored Jul 10, 2024
1 parent fb97bb9 commit e59ff8c
Showing 1 changed file with 51 additions and 50 deletions.
101 changes: 51 additions & 50 deletions compiler/noirc_evaluator/src/ssa/acir_gen/mod.rs
View file
Original file line number Diff line number Diff line change
Expand Up @@ -975,6 +975,8 @@ impl<'a> Context<'a> {
.into())
}
};
// Ensure that array id is fully resolved.
let array = dfg.resolve(array);

let array_id = dfg.resolve(array);
let array_typ = dfg.type_of_value(array_id);
Expand All @@ -992,7 +994,6 @@ impl<'a> Context<'a> {
// If we find one, we will use it when computing the index under the enable_side_effect predicate
// If not, array_get(..) will use a fallback costing one multiplication in the worst case.
// cf. https://github.com/noir-lang/noir/pull/4971

// For simplicity we compute the offset only for simple arrays
let is_simple_array = dfg.instruction_results(instruction).len() == 1
&& can_omit_element_sizes_array(&array_typ);
Expand Down Expand Up @@ -1123,13 +1124,14 @@ impl<'a> Context<'a> {
/// It is a dummy value because in the case of a false predicate, the value stored at the requested index will be itself.
fn convert_array_operation_inputs(
&mut self,
array: ValueId,
array_id: ValueId,
dfg: &DataFlowGraph,
index: ValueId,
store_value: Option<ValueId>,
offset: usize,
) -> Result<(AcirVar, Option<AcirValue>), RuntimeError> {
let (array_id, array_typ, block_id) = self.check_array_is_initialized(array, dfg)?;
let array_typ = dfg.type_of_value(array_id);
let block_id = self.ensure_array_is_initialized(array_id, dfg)?;

let index_var = self.convert_numeric_value(index, dfg)?;
let index_var = self.get_flattened_index(&array_typ, array_id, index_var, dfg)?;
Expand Down Expand Up @@ -1248,22 +1250,22 @@ impl<'a> Context<'a> {
dfg: &DataFlowGraph,
mut index_side_effect: bool,
) -> Result<AcirValue, RuntimeError> {
let (array_id, _, block_id) = self.check_array_is_initialized(array, dfg)?;
let block_id = self.ensure_array_is_initialized(array, dfg)?;
let results = dfg.instruction_results(instruction);
let res_typ = dfg.type_of_value(results[0]);

// Get operations to call-data parameters are replaced by a get to the call-data-bus array
if let Some(call_data) = self.data_bus.call_data {
if self.data_bus.call_data_map.contains_key(&array_id) {
if self.data_bus.call_data_map.contains_key(&array) {
// TODO: the block_id of call-data must be notified to the backend
// TODO: should we do the same for return-data?
let type_size = res_typ.flattened_size();
let type_size =
self.acir_context.add_constant(FieldElement::from(type_size as i128));
let offset = self.acir_context.mul_var(var_index, type_size)?;
let bus_index = self.acir_context.add_constant(FieldElement::from(
self.data_bus.call_data_map[&array_id] as i128,
));
let bus_index = self
.acir_context
.add_constant(FieldElement::from(self.data_bus.call_data_map[&array] as i128));
let new_index = self.acir_context.add_var(offset, bus_index)?;
return self.array_get(instruction, call_data, new_index, dfg, index_side_effect);
}
Expand All @@ -1277,8 +1279,7 @@ impl<'a> Context<'a> {
let mut value = self.array_get_value(&res_typ, block_id, &mut var_index)?;

if let AcirValue::Var(value_var, typ) = &value {
let array_id = dfg.resolve(array_id);
let array_typ = dfg.type_of_value(array_id);
let array_typ = dfg.type_of_value(array);
if let (Type::Numeric(numeric_type), AcirType::NumericType(num)) =
(array_typ.first(), typ)
{
Expand Down Expand Up @@ -1362,7 +1363,7 @@ impl<'a> Context<'a> {
}
};

let (array_id, array_typ, block_id) = self.check_array_is_initialized(array, dfg)?;
let block_id = self.ensure_array_is_initialized(array, dfg)?;

// Every array has a length in its type, so we fetch that from
// the SSA IR.
Expand All @@ -1371,10 +1372,11 @@ impl<'a> Context<'a> {
// However, this size is simply the capacity of a slice. The capacity is dependent upon the witness
// and may contain data for which we want to restrict access. The true slice length is tracked in a
// a separate SSA value and restrictions on slice indices should be generated elsewhere in the SSA.
let array_typ = dfg.type_of_value(array);
let array_len = if !array_typ.contains_slice_element() {
array_typ.flattened_size()
} else {
self.flattened_slice_size(array_id, dfg)
self.flattened_slice_size(array, dfg)
};

// Since array_set creates a new array, we create a new block ID for this
Expand All @@ -1397,18 +1399,13 @@ impl<'a> Context<'a> {
self.array_set_value(&store_value, result_block_id, &mut var_index)?;

let element_type_sizes = if !can_omit_element_sizes_array(&array_typ) {
let acir_value = self.convert_value(array_id, dfg);
Some(self.init_element_type_sizes_array(
&array_typ,
array_id,
Some(&acir_value),
dfg,
)?)
let acir_value = self.convert_value(array, dfg);
Some(self.init_element_type_sizes_array(&array_typ, array, Some(&acir_value), dfg)?)
} else {
None
};

let value_types = self.convert_value(array_id, dfg).flat_numeric_types();
let value_types = self.convert_value(array, dfg).flat_numeric_types();
// Compiler sanity check
assert_eq!(value_types.len(), array_len, "ICE: The length of the flattened type array should match the length of the dynamic array");

Expand Down Expand Up @@ -1454,45 +1451,41 @@ impl<'a> Context<'a> {
Ok(())
}

fn check_array_is_initialized(
fn ensure_array_is_initialized(
&mut self,
array: ValueId,
dfg: &DataFlowGraph,
) -> Result<(ValueId, Type, BlockId), RuntimeError> {
// Fetch the internal SSA ID for the array
let array_id = dfg.resolve(array);

let array_typ = dfg.type_of_value(array_id);

) -> Result<BlockId, RuntimeError> {
// Use the SSA ID to get or create its block ID
let block_id = self.block_id(&array_id);
let block_id = self.block_id(&array);

// Check if the array has already been initialized in ACIR gen
// if not, we initialize it using the values from SSA
let already_initialized = self.initialized_arrays.contains(&block_id);
if !already_initialized {
let value = &dfg[array_id];
let value = &dfg[array];
match value {
Value::Array { .. } | Value::Instruction { .. } => {
let value = self.convert_value(array_id, dfg);
let value = self.convert_value(array, dfg);
let array_typ = dfg.type_of_value(array);
let len = if !array_typ.contains_slice_element() {
array_typ.flattened_size()
} else {
self.flattened_slice_size(array_id, dfg)
self.flattened_slice_size(array, dfg)
};
self.initialize_array(block_id, len, Some(value))?;
}
_ => {
return Err(InternalError::General {
message: format!("Array {array_id} should be initialized"),
message: format!("Array {array} should be initialized"),
call_stack: self.acir_context.get_call_stack(),
}
.into());
}
}
}

Ok((array_id, array_typ, block_id))
Ok(block_id)
}

fn init_element_type_sizes_array(
Expand Down Expand Up @@ -1746,7 +1739,7 @@ impl<'a> Context<'a> {

/// Converts an SSA terminator's return values into their ACIR representations
fn get_num_return_witnesses(
&mut self,
&self,
terminator: &TerminatorInstruction,
dfg: &DataFlowGraph,
) -> usize {
Expand Down Expand Up @@ -1800,7 +1793,7 @@ impl<'a> Context<'a> {
has_constant_return |= self.acir_context.is_constant(&acir_var);
if is_databus {
// We do not return value for the data bus.
self.check_array_is_initialized(
self.ensure_array_is_initialized(
self.data_bus.return_data.expect(
"`is_databus == true` implies `data_bus.return_data` is `Some`",
),
Expand Down Expand Up @@ -2167,8 +2160,9 @@ impl<'a> Context<'a> {
Ok(vec![AcirValue::Var(self.acir_context.add_constant(len), AcirType::field())])
}
Intrinsic::AsSlice => {
let (slice_contents, slice_typ, block_id) =
self.check_array_is_initialized(arguments[0], dfg)?;
let slice_contents = arguments[0];
let slice_typ = dfg.type_of_value(slice_contents);
let block_id = self.ensure_array_is_initialized(slice_contents, dfg)?;
assert!(!slice_typ.is_nested_slice(), "ICE: Nested slice used in ACIR generation");

let result_block_id = self.block_id(&result_ids[1]);
Expand Down Expand Up @@ -2212,8 +2206,9 @@ impl<'a> Context<'a> {
Intrinsic::SlicePushBack => {
// arguments = [slice_length, slice_contents, ...elements_to_push]
let slice_length = self.convert_value(arguments[0], dfg).into_var()?;
let (slice_contents, slice_typ, _) =
self.check_array_is_initialized(arguments[1], dfg)?;
let slice_contents = arguments[1];
let slice_typ = dfg.type_of_value(slice_contents);

assert!(!slice_typ.is_nested_slice(), "ICE: Nested slice used in ACIR generation");

let slice = self.convert_value(slice_contents, dfg);
Expand Down Expand Up @@ -2279,9 +2274,8 @@ impl<'a> Context<'a> {
Intrinsic::SlicePushFront => {
// arguments = [slice_length, slice_contents, ...elements_to_push]
let slice_length = self.convert_value(arguments[0], dfg).into_var()?;

let (slice_contents, slice_typ, _) =
self.check_array_is_initialized(arguments[1], dfg)?;
let slice_contents = arguments[1];
let slice_typ = dfg.type_of_value(slice_contents);
assert!(!slice_typ.is_nested_slice(), "ICE: Nested slice used in ACIR generation");

let slice: AcirValue = self.convert_value(slice_contents, dfg);
Expand Down Expand Up @@ -2344,6 +2338,7 @@ impl<'a> Context<'a> {
Intrinsic::SlicePopBack => {
// arguments = [slice_length, slice_contents]
let slice_length = self.convert_value(arguments[0], dfg).into_var()?;
let slice_contents = arguments[1];

let one = self.acir_context.add_constant(FieldElement::one());
let new_slice_length = self.acir_context.sub_var(slice_length, one)?;
Expand All @@ -2352,8 +2347,8 @@ impl<'a> Context<'a> {
// the elements stored at that index will no longer be able to be accessed.
let mut var_index = new_slice_length;

let (slice_contents, slice_typ, block_id) =
self.check_array_is_initialized(arguments[1], dfg)?;
let slice_typ = dfg.type_of_value(slice_contents);
let block_id = self.ensure_array_is_initialized(slice_contents, dfg)?;
assert!(!slice_typ.is_nested_slice(), "ICE: Nested slice used in ACIR generation");

let mut popped_elements = Vec::new();
Expand All @@ -2378,9 +2373,11 @@ impl<'a> Context<'a> {
Intrinsic::SlicePopFront => {
// arguments = [slice_length, slice_contents]
let slice_length = self.convert_value(arguments[0], dfg).into_var()?;
let slice_contents = arguments[1];

let slice_typ = dfg.type_of_value(slice_contents);
let block_id = self.ensure_array_is_initialized(slice_contents, dfg)?;

let (slice_contents, slice_typ, block_id) =
self.check_array_is_initialized(arguments[1], dfg)?;
assert!(!slice_typ.is_nested_slice(), "ICE: Nested slice used in ACIR generation");

let one = self.acir_context.add_constant(FieldElement::one());
Expand Down Expand Up @@ -2419,9 +2416,11 @@ impl<'a> Context<'a> {
Intrinsic::SliceInsert => {
// arguments = [slice_length, slice_contents, insert_index, ...elements_to_insert]
let slice_length = self.convert_value(arguments[0], dfg).into_var()?;
let slice_contents = arguments[1];

let slice_typ = dfg.type_of_value(slice_contents);
let block_id = self.ensure_array_is_initialized(slice_contents, dfg)?;

let (slice_contents, slice_typ, block_id) =
self.check_array_is_initialized(arguments[1], dfg)?;
assert!(!slice_typ.is_nested_slice(), "ICE: Nested slice used in ACIR generation");

let slice = self.convert_value(slice_contents, dfg);
Expand Down Expand Up @@ -2558,9 +2557,11 @@ impl<'a> Context<'a> {
Intrinsic::SliceRemove => {
// arguments = [slice_length, slice_contents, remove_index]
let slice_length = self.convert_value(arguments[0], dfg).into_var()?;
let slice_contents = arguments[1];

let slice_typ = dfg.type_of_value(slice_contents);
let block_id = self.ensure_array_is_initialized(slice_contents, dfg)?;

let (slice_contents, slice_typ, block_id) =
self.check_array_is_initialized(arguments[1], dfg)?;
assert!(!slice_typ.is_nested_slice(), "ICE: Nested slice used in ACIR generation");

let slice = self.convert_value(slice_contents, dfg);
Expand Down

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