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feat(ir): dependents and dependencies
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Cargo.lock
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1
Cargo.lock
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@ -375,6 +375,7 @@ dependencies = [
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name = "ir"
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version = "0.1.0"
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dependencies = [
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"either",
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"ron",
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"serde",
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]
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@ -6,6 +6,7 @@ edition = "2021"
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# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
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[dependencies]
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either = "1.9"
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ron = "0.8"
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serde = { version = "1.0.193", features = ["derive"] }
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@ -1,8 +1,6 @@
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use std::{
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collections::{BTreeMap, BTreeSet},
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ops::RangeInclusive,
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};
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use std::{collections::BTreeSet, iter, ops::RangeInclusive};
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use either::Either;
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use instruction::SocketCount;
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use serde::{Deserialize, Serialize};
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@ -72,6 +70,56 @@ pub struct GraphIr {
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}
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impl GraphIr {
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/// Look "forwards" in the graph to see what other instructions this instruction feeds into.
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///
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/// The output slots represent the top-level iterator,
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/// and each one's connections are emitted one level below.
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///
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/// Just [`Iterator::flatten`] if you are not interested in the slots.
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///
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/// The same caveats as for [`GraphIr::resolve`] apply.
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#[must_use]
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pub fn dependents(
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&self,
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subject: &id::Instruction,
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) -> Option<impl Iterator<Item = impl Iterator<Item = &id::Instruction>> + '_> {
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let (subject, kind) = self.instructions.get_key_value(subject)?;
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let SocketCount { inputs, .. } = kind.socket_count();
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Some((0..inputs).map(|idx| {
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let output = id::Output(socket(subject, idx));
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self.edges
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.get(&output)
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.map_or(Either::Right(iter::empty()), |targets| {
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Either::Left(targets.iter().map(|input| &input.socket().belongs_to))
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})
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}))
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}
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/// Look "backwards" in the graph,
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/// and find out what instructions need to be done before this one.
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/// The input slots are visited in order.
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///
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/// - The iterator returns individually [`Some`]`(`[`None`]`)` if the corresponding slot is
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/// not connected.
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///
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/// The same caveats as for [`GraphIr::resolve`] apply.
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#[must_use]
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pub fn dependencies(
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&self,
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subject: &id::Instruction,
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) -> Option<impl Iterator<Item = Option<&id::Instruction>> + '_> {
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let (subject, kind) = self.instructions.get_key_value(subject)?;
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let SocketCount { inputs, .. } = kind.socket_count();
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Some((0..inputs).map(|idx| {
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let input = id::Input(socket(subject, idx));
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self.rev_edges
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.get(&input)
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.map(|output| &output.socket().belongs_to)
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}))
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}
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// TODO: this function, but actually the whole module, screams for tests
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/// Returns the instruction corresponding to the given ID.
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/// Returns [`None`] if there is no such instruction in this graph IR.
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@ -82,8 +130,8 @@ impl GraphIr {
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/// to actually have multiple [`GraphIr`]s at one point in time.
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/// Open an issue if that poses a problem for you.
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#[must_use]
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pub fn resolve<'ir>(&'ir self, id: &id::Instruction) -> Option<Instruction<'ir>> {
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let (id, kind) = self.instructions.get_key_value(id)?;
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pub fn resolve<'ir>(&'ir self, subject: &id::Instruction) -> Option<Instruction<'ir>> {
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let (id, kind) = self.instructions.get_key_value(subject)?;
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// just try each slot and see if it's connected
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// very crude, but it works for a proof of concept
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@ -131,17 +179,73 @@ impl GraphIr {
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self.resolve(&output.socket().belongs_to)
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}
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/// Returns the order in which the instructions could be visited
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/// in order to ensure that all dependencies are resolved
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/// before a vertex is visited.
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///
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/// # Panics
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///
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/// Panics if there are any cycles in the IR, as it needs to be a DAG.
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#[must_use]
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// yes, this function could actually return an iterator and be lazy
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// no, not today
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pub fn topological_sort(&self) -> Vec<Instruction> {
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// count how many incoming edges each vertex has
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// chances are the BTreeMap is overkill
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let incoming_counts: BTreeMap<_, _> = self
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.rev_edges
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.iter()
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.map(|(input, _)| (self.owner_of_input(input), 1))
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let input_counts: Map<_, usize> =
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self.rev_edges
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.iter()
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.fold(Map::new(), |mut count, (input, _)| {
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*count.entry(input.socket().belongs_to.clone()).or_default() += 1;
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count
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});
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// could experiment with a VecDeque here
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let mut active_queue = Vec::new();
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// what vertices can we start with? in other words, which ones have 0 inputs?
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let unresolved_input_count: Map<id::Instruction, usize> = input_counts
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.into_iter()
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.filter_map(|(instr, count)| {
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dbg!(count);
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if count == 0 {
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active_queue.push(instr);
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None
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} else {
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Some((instr, count))
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}
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})
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.collect();
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todo!()
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// then let's find the order!
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let mut order = Vec::new();
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while let Some(current) = active_queue.pop() {
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// now that this vertex is visited and resolved,
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// make sure all dependents notice that
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for dependent in self
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.dependents(¤t)
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.expect("graph to be consistent")
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.flatten()
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{
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dbg!(dependent);
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}
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order.push(self.resolve(¤t).expect("graph to be consistent"));
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}
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assert!(
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!unresolved_input_count.is_empty(),
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concat!(
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"topological sort didn't cover all instructions\n",
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"either there are unconnected inputs, or there is a cycle\n",
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"unresolved instructions:\n",
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"{:#?}"
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),
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unresolved_input_count
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);
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order
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}
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}
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@ -192,3 +296,11 @@ impl From<RangeInclusive<usize>> for Span {
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}
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}
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}
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/// Constructs an [`id::Socket`] a bit more tersely.
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fn socket(id: &id::Instruction, idx: u16) -> id::Socket {
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id::Socket {
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belongs_to: id.clone(),
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idx: id::SocketIdx(idx),
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}
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}
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