SortDecommitments
SortDecommitments PI
pub struct CodeDecommitmentsDeduplicatorInputData<F: SmallField> {
pub initial_queue_state: QueueState<F, FULL_SPONGE_QUEUE_STATE_WIDTH>,
pub sorted_queue_initial_state: QueueState<F, FULL_SPONGE_QUEUE_STATE_WIDTH>,
}
pub struct CodeDecommittmentsDeduplicatorOutputData<F: SmallField> {
pub final_queue_state: QueueState<F, FULL_SPONGE_QUEUE_STATE_WIDTH>,
}
pub struct CodeDecommittmentsDeduplicatorFSMInputOutput<F: SmallField> {
pub initial_queue_state: QueueState<F, FULL_SPONGE_QUEUE_STATE_WIDTH>,
pub sorted_queue_state: QueueState<F, FULL_SPONGE_QUEUE_STATE_WIDTH>,
pub final_queue_state: QueueState<F, FULL_SPONGE_QUEUE_STATE_WIDTH>,
pub lhs_accumulator: [Num<F>; DEFAULT_NUM_PERMUTATION_ARGUMENT_REPETITIONS],
pub rhs_accumulator: [Num<F>; DEFAULT_NUM_PERMUTATION_ARGUMENT_REPETITIONS],
pub previous_packed_key: [UInt32<F>; PACKED_KEY_LENGTH],
pub first_encountered_timestamp: UInt32<F>,
pub previous_record: DecommitQuery<F>,
}
Main circuit logic
This circuit handles the sorting and deduplication of code cancellation requests. Before starting, during the pre-start phase, the first decommitter queue is generated. To decommitter a code, the input will receive the hash root of the code, the length of the code, the code hash of the opcode, the number of opcodes and the code of the page. Next, it sorts the queue and, in the process, identifies and removes identical requests, serving as a filtering mechanism in case the same contract is called several times.
The detailed explanation of sorting and deduplicating can be found here.
The circuit begins with allocating input part of the PI.
let CodeDecommitmentsDeduplicatorInstanceWitness {
closed_form_input,
initial_queue_witness,
sorted_queue_witness,
} = witness;
let mut structured_input = CodeDecommitmentsDeduplicatorInputOutput::alloc_ignoring_outputs(
cs,
closed_form_input.clone(),
);
In this part, we should decide what initial_queue_state
to use (the one from Input
or the other one from
FSM Input
). We do the same for sorted queue.
let state = QueueState::conditionally_select(
cs,
structured_input.start_flag,
&initial_queue_from_passthrough_state,
&initial_log_queue_state_from_fsm_state,
);
Also, we decide to create a new result queue or use one from the previous circuit.
let state = QueueState::conditionally_select(
cs,
structured_input.start_flag,
&empty_state,
&final_sorted_queue_from_fsm_state,
);
Now we need to generate challenges for permutation argument.
let challenges = crate::utils::produce_fs_challenges::<
F,
CS,
R,
FULL_SPONGE_QUEUE_STATE_WIDTH,
{ DECOMMIT_QUERY_PACKED_WIDTH + 1 },
DEFAULT_NUM_PERMUTATION_ARGUMENT_REPETITIONS,
>(
cs,
structured_input.observable_input.initial_queue_state.tail,
structured_input
.observable_input
.sorted_queue_initial_state
.tail,
round_function,
);
And decide whether we generate new accumulators for permutation argument or use existing ones.
let initial_lhs = Num::parallel_select(
cs,
structured_input.start_flag,
&[one; DEFAULT_NUM_PERMUTATION_ARGUMENT_REPETITIONS],
&structured_input.hidden_fsm_input.lhs_accumulator,
);
let initial_rhs = Num::parallel_select(
cs,
structured_input.start_flag,
&[one; DEFAULT_NUM_PERMUTATION_ARGUMENT_REPETITIONS],
&structured_input.hidden_fsm_input.rhs_accumulator,
);
Also, we make other parts of FSM state based on start_flag
.
let mut previous_record = DecommitQuery::conditionally_select(
cs,
structured_input.start_flag,
&trivial_record,
&structured_input.hidden_fsm_input.previous_record,
);
let mut previous_packed_key = <[UInt32<F>; PACKED_KEY_LENGTH]>::conditionally_select(
cs,
structured_input.start_flag,
&[zero_u32; PACKED_KEY_LENGTH],
&structured_input.hidden_fsm_input.previous_packed_key,
);
let mut first_encountered_timestamp = UInt32::conditionally_select(
cs,
structured_input.start_flag,
&zero_u32,
&structured_input
.hidden_fsm_input
.first_encountered_timestamp,
);
Here we implement the main logic of the circuit. We run a cycle where on each iteration we try to pop a new element.
let (_, original_encoding) = original_queue.pop_front(cs, should_pop);
let (sorted_item, sorted_encoding) = sorted_queue.pop_front(cs, should_pop);
We compute contribution to permutation argument accumulators.
for ((challenges, lhs), rhs) in fs_challenges.iter().zip(lhs.iter_mut()).zip(rhs.iter_mut())
{
...
}
After, we enforce that elements from sorted queue are actually sorted.
new_key_is_greater.conditionally_enforce_true(cs, should_pop);
Also, we need to deduplicate some decommit requests if there are the same ones.
// decide if we should add the PREVIOUS into the queue
let add_to_the_queue = Boolean::multi_and(cs, &[previous_is_non_trivial, different_hash]);
result_queue.push(cs, record_to_add, add_to_the_queue);
Now we update inner variables.
previous_item_is_trivial = is_trivial;
// may be update the timestamp
*first_encountered_timestamp = UInt32::conditionally_select(
cs,
same_hash,
&first_encountered_timestamp,
&sorted_item.timestamp,
);
*previous_record = sorted_item;
*previous_packed_key = packed_key;
In the end, if the queues are empty, and we have taken the last element, we push it immediately.
let add_to_the_queue = Boolean::multi_and(cs, &[previous_is_non_trivial, completed]);
result_queue.push(cs, record_to_add, add_to_the_queue);
We check that permutation accumulators are equal, if the queues are already empty.
for (lhs, rhs) in new_lhs.iter().zip(new_rhs.iter()) {
Num::conditionally_enforce_equal(cs, completed, lhs, rhs);
}
Now we update PI output parts and compute a commitment. Then we allocate it as public variables.
let compact_form =
ClosedFormInputCompactForm::from_full_form(cs, &structured_input, round_function);
let input_commitment = commit_variable_length_encodable_item(cs, &compact_form, round_function);
for el in input_commitment.iter() {
let gate = PublicInputGate::new(el.get_variable());
gate.add_to_cs(cs);
}