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use std::collections::HashMap;
use itertools::Itertools;
use rand::prelude::*;
use triton_vm::prelude::*;
use triton_vm::twenty_first::prelude::AlgebraicHasher;
use crate::data_type::DataType;
use crate::empty_stack;
use crate::list::length::Length;
use crate::list::new::New;
use crate::list::push::Push;
use crate::rust_shadowing_helper_functions;
use crate::traits::basic_snippet::BasicSnippet;
use crate::traits::procedure::Procedure;
use crate::traits::procedure::ProcedureInitialState;
use crate::VmHasher;
/// Sample n pseudorandom integers between 0 and k. It does this by squeezing the sponge. It is the
/// caller's responsibility to ensure that the sponge is initialized to the right state.
#[derive(Debug, Default, Copy, Clone, Eq, PartialEq, Hash)]
pub struct SampleIndices;
impl BasicSnippet for SampleIndices {
fn inputs(&self) -> Vec<(DataType, String)> {
vec![
(DataType::U32, "number".to_string()),
(DataType::U32, "upper_bound".to_string()),
]
}
fn outputs(&self) -> Vec<(DataType, String)> {
vec![(
DataType::List(Box::new(DataType::U32)),
"*indices".to_string(),
)]
}
fn entrypoint(&self) -> String {
"tasmlib_hashing_algebraic_hasher_sample_indices".into()
}
fn code(&self, library: &mut crate::library::Library) -> Vec<LabelledInstruction> {
let entrypoint = self.entrypoint();
let main_loop = format!("{entrypoint}_main_loop");
let then_reduce_and_save = format!("{entrypoint}_then_reduce_and_save");
let else_drop_tip = format!("{entrypoint}_else_drop_tip");
let new_list = library.import(Box::new(New::new(DataType::U32)));
let length = library.import(Box::new(Length::new(DataType::U32)));
let push_element = library.import(Box::new(Push::new(DataType::U32)));
let if_can_sample = triton_asm! (
// BEFORE: _ prn number upper_bound *indices
// AFTER: _ prn number upper_bound *indices ~can_use can_use
dup 0 call {length} // _ prn number upper_bound *indices length
dup 3 eq // _ prn number upper_bound *indices length==number
push 0 eq // _ prn number upper_bound *indices length!=number
dup 4 push -1 eq // _ prn number upper_bound *indices length!=number prn==max
push 0 eq // _ prn number upper_bound *indices length!=number prn!=max
mul // _ prn number upper_bound *indices length!=number&&prn!=max
dup 0 // _ prn number upper_bound *indices length!=number&&prn!=max length!=number&&prn!=max
push 0 eq // _ prn number upper_bound *indices length!=number&&prn!=max ~(length!=number&&prn!=max)
swap 1 // _ prn number upper_bound *indices ~(length!=number&&prn!=max) length!=number&&prn!=max
);
triton_asm! (
// BEFORE: _ number upper_bound
// AFTER: _ *indices
{entrypoint}:
call {new_list} // _ number upper_bound *indices
// prepare and call main while lop
swap 1 // _ number *indices upper_bound
push -1 add // _ number *indices upper_bound-1
swap 1 // _ number upper_bound-1 *indices
call {main_loop} // _ number upper_bound-1 *indices
// clean up and return
swap 2 pop 2
return
// INVARIANT: _ number upper_bound-1 *indices
{main_loop}:
// evaluate termination condition
dup 0 call {length} // _ number upper_bound-1 *indices length
dup 3 eq // _ number upper_bound-1 *indices length==number
skiz return // _ number upper_bound-1 *indices
// we need to squeeze so squeeze
sponge_squeeze // _ number upper_bound-1 *indices [prn]
// reject or reduce-and-store
dup 12 dup 12 dup 12 // _ number upper_bound-1 *indices [prn] number upper_bound-1 *indices
{&if_can_sample} skiz call {then_reduce_and_save} skiz call {else_drop_tip}
{&if_can_sample} skiz call {then_reduce_and_save} skiz call {else_drop_tip}
{&if_can_sample} skiz call {then_reduce_and_save} skiz call {else_drop_tip}
{&if_can_sample} skiz call {then_reduce_and_save} skiz call {else_drop_tip}
{&if_can_sample} skiz call {then_reduce_and_save} skiz call {else_drop_tip}
{&if_can_sample} skiz call {then_reduce_and_save} skiz call {else_drop_tip}
{&if_can_sample} skiz call {then_reduce_and_save} skiz call {else_drop_tip}
{&if_can_sample} skiz call {then_reduce_and_save} skiz call {else_drop_tip}
{&if_can_sample} skiz call {then_reduce_and_save} skiz call {else_drop_tip}
{&if_can_sample} skiz call {then_reduce_and_save} skiz call {else_drop_tip}
// _ number upper_bound-1 *indices number upper_bound-1 *indices
// return to invariant and repeat
pop 3 // _ number upper_bound-1 *indices
recurse
// BEFORE: _ prn number upper_bound-1 *indices 0
// AFTER: _ number upper_bound-1 *indices 0
{then_reduce_and_save}:
pop 1 // _ prn number upper_bound-1 *indices
swap 2 swap 3 // _ number *indices upper_bound-1 prn
split // _ number *indices upper_bound-1 hi lo
dup 2 and // _ number *indices upper_bound-1 hi index
swap 1 pop 1 // _ number *indices upper_bound-1 index
swap 1 swap 2 swap 1 // _ number upper_bound-1 *indices index
dup 1 swap 1 // _ number upper_bound-1 *indices *indices index
call {push_element}
push 0
return
// BEFORE: _ prn number upper_bound-1 *indices
// AFTER: _ number upper_bound-1 *indices
{else_drop_tip}:
swap 2 swap 3 // _ number *indices upper_bound-1 prn
pop 1 swap 1 // _ number upper_bound-1 *indices
return
)
}
}
impl Procedure for SampleIndices {
fn rust_shadow(
&self,
stack: &mut Vec<BFieldElement>,
memory: &mut HashMap<BFieldElement, BFieldElement>,
_nondeterminism: &NonDeterminism,
_public_input: &[BFieldElement],
sponge: &mut Option<VmHasher>,
) -> Vec<BFieldElement> {
let sponge = sponge.as_mut().expect("sponge must be initialized");
// collect upper bound and number from stack
let upper_bound = stack.pop().unwrap().value() as u32;
let number = stack.pop().unwrap().value() as usize;
println!("sampling {number} indices between 0 and {upper_bound}");
println!("sponge before: {}", sponge.state.iter().join(","));
let indices = sponge.sample_indices(upper_bound, number);
// allocate memory for list
let list_pointer = rust_shadowing_helper_functions::dyn_malloc::dynamic_allocator(memory);
rust_shadowing_helper_functions::list::list_new(list_pointer, memory);
// store all indices
for index in indices.iter() {
rust_shadowing_helper_functions::list::list_push(
list_pointer,
vec![BFieldElement::new(*index as u64)],
memory,
1,
);
}
println!("sponge after: {}", sponge.state.iter().join(","));
stack.push(list_pointer);
vec![]
}
fn pseudorandom_initial_state(
&self,
seed: [u8; 32],
bench_case: Option<crate::snippet_bencher::BenchmarkCase>,
) -> ProcedureInitialState {
let mut rng: StdRng = SeedableRng::from_seed(seed);
let number = if let Some(case) = bench_case {
match case {
// For FRI num_collinearity checks is 80 for expansion factor 4
crate::snippet_bencher::BenchmarkCase::CommonCase => 40,
// For FRI num_collinearity checks is 40 for expansion factor 8
crate::snippet_bencher::BenchmarkCase::WorstCase => 80,
}
} else {
rng.gen_range(0..20)
};
let upper_bound = if let Some(case) = bench_case {
match case {
crate::snippet_bencher::BenchmarkCase::CommonCase => 1 << 12,
crate::snippet_bencher::BenchmarkCase::WorstCase => 1 << 23,
}
} else {
1 << rng.gen_range(0..20)
};
let mut stack = empty_stack();
stack.push(BFieldElement::new(number as u64));
stack.push(BFieldElement::new(upper_bound as u64));
let public_input: Vec<BFieldElement> = vec![];
let state = VmHasher { state: rng.gen() };
ProcedureInitialState {
stack,
nondeterminism: NonDeterminism::default(),
public_input,
sponge: Some(state),
}
}
}
#[cfg(test)]
mod test {
use super::*;
use crate::traits::procedure::ShadowedProcedure;
use crate::traits::rust_shadow::RustShadow;
#[test]
fn test() {
ShadowedProcedure::new(SampleIndices).test();
}
}
#[cfg(test)]
mod bench {
use super::*;
use crate::traits::procedure::ShadowedProcedure;
use crate::traits::rust_shadow::RustShadow;
#[test]
fn bench() {
ShadowedProcedure::new(SampleIndices).bench();
}
}