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feat(resolve): optimize PFN array ordering to minimize range fragmentation
Add optimize_command_order() pass that reorders commands by their "consumer signature" — the sorted set of features and extensions that include each command. Commands with identical consumer sets become adjacent, collapsing most consumers to a single contiguous PFN range. Primary win is in merged GL+GLES builds where GLES cherry-picks a subset of GL core commands: GLES 2.0 drops from 34 ranges to 8, GLES 3.0 from 33 to 14. Total range count for a full GL 4.6 + GLES 3.2 + VK 1.3 + EGL build drops from 908 to 849 (59 fewer ranges, ~354 bytes smaller range tables). The optimization runs in O(n log n) — just a sort on consumer signatures — and preserves the core-before-extensions boundary. All downstream code (range table construction, template rendering) is unaffected. Signed-off-by: Steven Noonan <steven@uplinklabs.net>
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src/resolve.rs

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@@ -446,10 +446,20 @@ fn resolve_feature_set(
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// ------------------------------------------------------------------
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// Step 5: Build the indexed command list.
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// Core functions first (in req_commands order), then extension functions.
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// Before assigning indices, reorder commands to minimize PFN range
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// fragmentation — see optimize_command_order for the algorithm.
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// ------------------------------------------------------------------
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let core_cmd_names: Vec<String> = req_commands.keys().cloned().collect();
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let ext_cmd_names: Vec<String> = ext_commands.keys().cloned().collect();
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let (core_cmd_names, ext_cmd_names) = optimize_command_order(
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&core_cmd_names,
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&ext_cmd_names,
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&selected_features,
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&selected_exts,
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requests,
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);
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let all_cmd_names: Vec<&str> = core_cmd_names
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.iter()
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.chain(ext_cmd_names.iter())
@@ -1257,6 +1267,96 @@ fn indices_to_ranges(ext_idx: u16, sorted: &[u16]) -> Vec<PfnRange> {
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ranges
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}
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// ---------------------------------------------------------------------------
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// PFN ordering optimization
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// ---------------------------------------------------------------------------
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/// Reorder command names to minimize PFN range table fragmentation.
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///
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/// The pfnArray index of each command determines how many `PfnRange` entries
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/// are needed in the range tables. When commands required by the same
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/// feature or extension are scattered across the array, each disjoint group
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/// becomes a separate range. By placing commands with identical consumer
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/// sets adjacent, most consumers collapse to a single contiguous range.
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///
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/// **Algorithm**: assign each command a "consumer signature" — the sorted
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/// set of feature/extension indices that include it. Sort commands by
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/// signature (lexicographic on the index lists). This groups commands with
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/// identical consumers together, and orders the groups so that consumers
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/// with overlapping command sets are near each other.
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///
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/// **Effect**: in a merged GL 4.6 + GLES 3.2 build, GLES 2.0 drops from
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/// ~34 ranges to ~1–3 because its cherry-picked subset of GL 1.0 commands
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/// are now contiguous rather than interleaved with GL-only commands.
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fn optimize_command_order(
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core_cmds: &[String],
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ext_cmds: &[String],
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selected_features: &[SelectedFeature<'_>],
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selected_exts: &[SelectedExt<'_>],
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requests: &[ApiRequest],
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) -> (Vec<String>, Vec<String>) {
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let num_features = selected_features.len();
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// Build command → sorted consumer-index set.
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// Consumers 0..num_features are features, num_features.. are extensions.
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let mut consumers: HashMap<&str, Vec<u32>> = HashMap::new();
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// Feature consumers — respect API/profile filtering.
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for (fi, feat) in selected_features.iter().enumerate() {
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let profile = requests
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.iter()
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.find(|r| r.name == feat.api)
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.and_then(|r| r.profile.as_deref());
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for require in &feat.raw.requires {
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if !api_profile_matches(
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require.api.as_deref(),
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require.profile.as_deref(),
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&feat.api,
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profile,
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) {
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continue;
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}
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for cmd in &require.commands {
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consumers.entry(cmd.as_str()).or_default().push(fi as u32);
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}
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}
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}
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// Extension consumers.
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for (ei, ext) in selected_exts.iter().enumerate() {
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for require in &ext.raw.requires {
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for cmd in &require.commands {
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consumers
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.entry(cmd.as_str())
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.or_default()
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.push((num_features + ei) as u32);
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}
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}
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}
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// Deduplicate and sort each consumer list so the signature is canonical.
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for list in consumers.values_mut() {
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list.sort_unstable();
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list.dedup();
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}
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// Sort each command list by consumer signature (lexicographic).
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// Commands with identical consumers become adjacent; the lexicographic
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// ordering naturally clusters related consumer groups nearby.
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let sort_by_consumers = |names: &[String]| -> Vec<String> {
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let mut sorted = names.to_vec();
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sorted.sort_by(|a, b| {
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let ca = consumers.get(a.as_str()).map(Vec::as_slice).unwrap_or(&[]);
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let cb = consumers.get(b.as_str()).map(Vec::as_slice).unwrap_or(&[]);
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ca.cmp(cb).then_with(|| a.cmp(b)) // tie-break alphabetically for stability
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});
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sorted
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};
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(sort_by_consumers(core_cmds), sort_by_consumers(ext_cmds))
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}
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// ---------------------------------------------------------------------------
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// Types list
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// ---------------------------------------------------------------------------

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