GitNexus/gitnexus/bench/import-target/baselines.json

{
  "_what": "Baselines for bench/import-target/measure.mjs \u2014 EVERY import-target resolver registered in SCOPE_RESOLVERS, on one shared corpus, plus csharp a second time WITH csproj configs. One entry per registered language and one more for the csproj arm, no registered language ungated \u2014 and that is ASSERTED rather than asserted-in-a-comment, which is also why no roster of language names is kept in this prose to go stale: measure.mjs derives its language list from a LANG_REGISTRY table and a --check inventory arm reconciles that table against SCOPE_RESOLVERS in both directions. A C/C++ #include is an import site for this purpose and is gated like every other registered language. csharp and csharp_csproj resolve the IDENTICAL file corpus (buildFiles aliases the two) and differ in exactly one thing: whether csharpConfigs is supplied. Without that second arm the csproj namespace-directory index ships unmeasured, because every C# import in the no-csproj arm returns before reaching it. C and C++ follow that same precedent for a different context \u2014 their HEADERS arrive through resolutionConfig rather than through allFilePaths, and augmentedFilePaths unions the two once per pass, so the corpus is split at newPass rather than pre-merged. The first nine were added as their own O(imports x files) scans were indexed away (#2877/#2878/#2879/#2880, #2872, #2901, #2902, #2908) and this is the forward guard on each; the other eight were ungated until now, and PR #2911 \u2014 JavaScript reaching suffixResolve with no index at all, 25972 us per import at 8000 files \u2014 is what that costs.",
  "_fingerprint_note": "Per-language sha256 over every distinct fromFile|target -> resolved target. A change here is a BEHAVIOUR change: the resolver returned a different target set, and IMPORTS/CALLS edges moved. Explain it, never re-baseline to make CI green. For the languages these PRs changed, the pre-change implementations produce these same values on this corpus at both 400 and 1600 files \u2014 that is what makes the index hoist a performance change. The tie-break-level proof lives in test/unit/scope-resolution/import-target-index-parity.test.ts (verbatim copies of the pre-change code, diffed) for Kotlin in test/unit/scope-resolution/kotlin/kotlin-import-target-parity.test.ts, and for the four resolvers added there in test/unit/scope-resolution/{php,java,cobol}-import-target-parity.test.ts and test/unit/import-resolvers/csharp-csproj-parity.test.ts, and for JavaScript in test/unit/scope-resolution/javascript-import-target-parity.test.ts (a differential over 211200 old-vs-new pairs, PR #2911). The eight languages added last have no per-language parity harness against a pre-change implementation and do NOT need one: nothing about their resolution changed, so there is no before to diff against. Their fingerprints are pure forward guards, minted from the current implementations, and their adapter-boundary index reuse is covered for every registered language at once by test/unit/scope-resolution/import-target-index-reuse.contract.test.ts. NOTE for csharp_csproj: on this corpus the #2902 indexed leg (step 3 of resolveCSharpImportInternal) is reached by 2221 of the 3200 small-arm imports but answers null for every one of them \u2014 the 979 that resolve do so at step 2 \u2014 so this fingerprint pins that legs cost and its null answers, while its positive tie-breaks (unanchored substring, iteration order) are pinned by csharp-csproj-parity.test.ts. NOTE for kotlin, go, csharp and java: twenty fingerprints across these four languages were re-baselined in #2881, the one deliberate behaviour change any language in this file has had. It landed in two steps and the second is the reason the first is not a special case: Kotlin first, then the shared package-dir-index (go, java, csharp) and the csproj namespace index once the same rule was found live there. `getKotlinFileIndex` no longer requires a file's package directory to be the FIRST occurrence of that name in its own path, so the unique arm's `d % 7` nested slice (`mod{d}/src/main/kotlin/com/example/pkg{d}/inner/pkg{d}`) now belongs to package `pkg{d}` and its wildcard imports resolve: resolved 1100 -> 1153 small and deep, 4456 -> 4681 large. The collide arm needed a CORPUS edit alongside it, not just a new number \u2014 its `d % 7` slice deliberately imported `com.example.vendor{d}`, a package that exists nowhere, purely to mirror the unique arm's nested-slice MISS, so leaving it would have left collide at 1100 against small's 1153 and broken the same-workload invariant the arm is built on (that assertion is what caught it). It now uses the same `com.example.models.*` spelling as the rest of the arm, which is why its distinct_outcomes fell (2775 -> 2744, 11087 -> 10961): one shared target instead of one per d. The record-level evidence for the resolver change \u2014 235 of 19968 records moved, 54 null -> resolved, 0 buckets losing a member \u2014 is in bench/kotlin-import-target/baselines.json `_provenance`. The kotlin heap_reading_bytes and heap_ceiling_bytes moved with it, together as `_heap_reading_note` requires: 48073096 -> 48200224 bytes_large (+127128, +0.264%), ceiling still exactly 1.5x. Small, and it is worth saying WHY it is small rather than reading the number as evidence that the change is cheap. `dirChildren` grows by one entry per component-suffix the old rule used to skip, and this arm can only see part of that: the heap corpus is built with HEAP_PAD 8, which prefixes every path with `d0/\u2026/d7/`, so no path can begin with a suffix of its own directory and the leading-segment half of the old rule is structurally invisible here. What moves the reading is the `d % 7` nested slice alone. Read +0.264% as this arm's ceiling on the effect, not as the effect. GO NEEDED A CORPUS EDIT TO BE GATED AT ALL. Its nested slice was `src/pkg{d}/internal/pkg{d}`, repeating only the LAST segment, while a Go query addresses the whole package path `src/pkg{d}` \u2014 so the directory never even ended with the query and the first-occurrence rule was never reached. Every go arm sat unchanged through the resolver fix. `uniqueDir`/`collideDir` now repeat the shape at the granularity Go actually queries (`src/pkg{d}/internal/src/pkg{d}`, `svc{d}/internal/sub/svc{d}/internal`), which is what moved go from 979 to 1153 resolved and bumped `languages.go.heap.path_segments` 13 -> 14. The general lesson: a corpus that carries a shape the QUERY cannot express does not gate that shape. CSHARP AND JAVA HIT THE SAME COLLIDE-ARM TRAP AS KOTLIN. Both collide arms sent their `d % 7` slice to a namespace that exists nowhere (`App.Src{d}.Vendor`, `com.svc{d}.vendor`) purely to MIRROR the unique arm's nested-slice miss; once that miss became a hit, collide sat at 979/1100 against small's 1153 and the same-workload assertion failed. Both now use the same spelling as the rest of their arm. HEAP: no reading here moved for the resolver change. An earlier revision of this branch re-recorded `csharp_csproj` 73703384 -> 73116520 as a -0.79% effect of the step-2 filter; review measured base and branch three times each and got the same 73.10e6 on BOTH sides \u2014 the recorded 73703384 was simply not reproducible on this box, and re-recording it would have dropped that language's derived floor by 0.8% for no reason belonging to this change. Reverted. Everything else sat within +/-0.03%. Note that `_heap_reading_note`'s claim that these readings 'reproduce to the byte across processes on one box' did NOT hold on the box this was measured on: go, dart, ruby, python, php and cpp all wandered by a few hundred to a few thousand bytes between processes with no code change touching them. Treat sub-0.05% movement as jitter, not signal. HEAP, kotlin, second movement: 48200224 -> 42802456 (-11.20%), re-recorded with its ceiling. `getKotlinFileIndex` now compacts each `dirChildren` bucket as it freezes it. `addChild` mints a bucket as `[raw]` and pushes the rest, and V8 grows a backing store by `old + old/2 + 16`, so the second child takes a 1-slot store to 17: 61144 buckets, 52.9% of their slots empty, 88 B each. Same fix and same accounting as the python `byBasename` sentence above. Note what this means for the gate: a memory WIN of this size passes every arm \u2014 it is under the ceiling and over the 0.5x floor \u2014 so it is recorded because the convention says a reading and its ceiling move together, not because anything went red. kotlin now reads 40.82 MiB. The prose in measure.mjs calling it '45.85 MiB, the second-largest reading in this file' is corrected with it \u2014 and was already wrong on the ranking before this change, since csharp_csproj (69.73) and php (47.28) both read higher; kotlin was third. A measurement written into prose is not re-taken, which is the finding `_heap_bound_note` records about this very file. One further corpus edit, made in review and MEASURED rather than assumed: kotlin's collide layout repeated only the `models` leaf (`\u2026/com/example/models/inner/models`) while a Kotlin query addresses the whole dotted path, so a full revert of the Kotlin guards left both collide fingerprints UNMOVED \u2014 the arm was blind to the rule it was re-baselined for. Deepening it to `\u2026/models/inner/com/example/models` makes the revert move both, and those two fingerprints are the only ones that changed for it. The same deepening was applied to the java and kotlin UNIQUE arms and REVERTED: it moved ten more fingerprints, grew java's heap reading 43%, and bought nothing \u2014 progressive stripping lands those queries on the same file with or without the rule, so the control still failed only on go.",
  "_shape_note": "files/imports/resolved/distinct_outcomes AND the fingerprint are asserted exactly, per scale. A fingerprint alone cannot tell a legitimate resolution change from a corpus quietly shrunk below the size at which the timing arms can see anything; conversely the counts alone cannot see a defect confined to one arm, because the arms differ only in path padding and directory layout and both of those are count-neutral by design. Two cross-arm assertions close the remaining hole: the deep and collide arms must resolve exactly what small resolves (they are the same workload), and each of their fingerprints must DIFFER from small's (they are not the same corpus). Without the second, setting DEEP_PAD to 0 \u2014 which deletes the entire depth arm \u2014 moves no asserted number and prints PASS; the same is true of a collideDir that forwards to uniqueDir. THE HEAP ARM IS ASSERTED THE SAME WAY, by the same loop, and was not before: files_small, files_large, path_segments and probe decide WHAT it measures, and every one of them was reported and compared to nothing. Swapping HEAP_PROBE_TARGET.csharp_csproj for a target matching no CSPROJ_CONFIGS rootNamespace skips the whole config loop, so the getFilesInDir and getInsensitive legs never run and the arm the header calls the witness that the read pattern IS the footprint quietly becomes a two-map arm \u2014 73703384 -> 59921216 B, ratio 1.017 -> 1.011, ceiling and floor both still passing and --check still exiting 0. Setting HEAP_SMALL equal to HEAP_LARGE is the same hole from the other side: ratio goes to ~1.0 by construction and bytes_large never moves. bytes_small and bytes_large are deliberately NOT asserted for equality \u2014 heap_ceiling_bytes and the heap_reading_bytes floor bound them with ~50% either way, because heapUsed accounting moves across platforms and Node majors and an exact byte assertion would be a re-baseline per runner. THE CONTEXT ARM IS ASSERTED THE SAME WAY, by the same loop, and more strictly than either: target, with_context and without_context are exact strings with no tolerance at all, because the arm resolves one import over a three-file corpus and has no measurement noise to tolerate. A separate check requires the last two to DIFFER, for the same reason deep.fingerprint must differ from small.fingerprint \u2014 a probe on which both call shapes agree asserts one number twice. Both halves run through resolveOne, so what the arm gates is this bench threading run.ts's fifth argument, not the resolvers' behaviour.",
  "_arms_note": "Five timing arms, one memory arm and one deterministic arm elsewhere, because none of them gates alone. scaling_ratio (t_large/t_small)/(1600/400) catches cost growing with FILE COUNT \u2014 the #2877-#2880, #2901, #2902 and #2908 regressions themselves; every one of those legs was Theta(files) per import, so a revert scores ~4 here by construction. depth_ratio (t_deep/t_small at a FIXED file count, ~6x the path components) catches cost growing with path DEPTH, which scaling_ratio divides out and structurally cannot see; buildSuffixIndex (C#, Ruby, PHP, Java) and Kotlin suffixByStem emit one entry per component, so they legitimately sit above 1.0 while Go, Dart and COBOL, whose indexes are depth-free, sit at ~1.0. csharp's depth_budget has now been retightened twice for the same reason, and the second time it did lock the win in. It was 5 against a then-measured 3.318; #2903 made buildSuffixIndex's dirMap lazy and it became 3.5 against 2.31, with the file stating plainly that 3.5 did NOT lock that win in because a revert to an eager dirMap scores 3.318 and passes. Extending the laziness to the two SUFFIX maps drops it again, to 1.438 (java likewise 2.214 -> 1.402), because the deep arm has ~6x the path components and an O(files x depth) build of a map the no-csproj leg never reads is exactly the cost that scales with depth. Both are now 2.2, which is this file's 1.5x convention against measurements whose own peak-to-peak over 4 runs is 1.04x and 1.07x \u2014 and 2.2 DOES lock it in: an eager rebuild scores 2.3+ and fails. The other fifteen depth budgets sit at 1.37-1.75x measured and are unchanged. collide_scaling_ratio is the same measurement on a SHARED-LEAF layout (svcN/internal, SrcN/Models, com/example/model in every service, a repeated mod0.dart/mod0.rb/Mod0.cpy basename) carrying an identical file, import and resolved count: the small/large/deep arms mint one directory name per index, so every index bucket in them holds exactly ONE entry (measured: max last-segment bucket 1 and max matching directories 1 for go and csharp at 400 and 1600 files; max basename bucket 1 for dart and ruby), and bucket cardinality is the only non-constant term the new indexes have. On the shared-leaf shape go, csharp, dart and java legitimately score 2.1-3.9 because the bucket grows with the file count BY CONSTRUCTION \u2014 this is a limit on the SCOPE of the \"independent of corpus size\" claim, not a regression (the indexed code is still faster there than the pre-change full scan); their collide budgets say so honestly instead of pretending 1.8. Ruby, Kotlin, PHP and COBOL answer from keyed maps and are collision-immune, so they keep the linear 1.8 budget and that immunity is the assertion. csharp_csproj is the one arm that runs the other way: its shared leaf collapses dirsByLastSegment to the single key Models, so the slash-free sweep (see CSPROJ_CONFIGS) is CHEAPER on the collide layout than on the unique one and its expensive scale arm is large, not collide_large. Its 1.8 collide budget is therefore the linear one, and the arm that carries its real cost is the unique one. The collide arm is also the only arm that reaches filesDirectlyInPkgDir's dirCount > 1 merge (go: 388 multi-directory calls at 400 files, up to 9 directories; 1517 at 1600 files, up to 34) and the only one that reaches COBOL's copybook-over-source tier tie-break, which needs one bookname to name two files. small_ms_ceiling and collide_ms_ceiling are ABSOLUTE (~4x the measured arm), because a constant-factor regression that grows both scale arms equally passes every ratio. The five arms added here use 4.2x, the middle of the 3.7-4.6x the original five already carry; the two COBOL arms use ~5x, the multiplier dart's sub-1 ms arm has always carried, because a fixed scheduler hiccup is a larger fraction of a smaller number \u2014 measured over 8 runs they sat at 0.25-0.37 ms and 0.18-0.30 ms, and the pre-#2908 two-scans-per-COPY implementation costs ~300 ms on the same arm, so 2.0 and 1.5 still separate fixed from broken by two orders of magnitude. NOISE, measured rather than assumed: depth_ratio divides two sub-3 ms numbers (Dart's are sub-1 ms) and is by far the noisiest arm here, so it set N for the whole file. fastest() is a min-of-N estimator, so N is the knob. Over 22 --check runs on an idle box, peak-to-peak: at N=5 go ran 0.757-1.748 (2.31x) and tripped its own 1.6 budget about 1 run in 20; at N=7 (the kotlin-import-target setting) Dart still ran 0.678-2.043 (3.01x) and tripped once; at N=15 (bench/cfg, bench/schema-pairs, bench/callable-value-flow) every language collapsed to a 1.13-1.26x swing with 22/22 passing. The budgets were NOT widened; the estimator was fixed instead, which is why the headroom above is real rather than granted. N IS NOW PER LANGUAGE, and that is a refinement of the same finding rather than a retreat from it. The overshoot of min-of-K against min-of-15 is a function of the CELL's absolute duration, not of the language: replayed against two independent runs' full sample sets, the worst overshoots at K=7 land on swift.small (0.43 ms, 31.8%) and dart.collide (1.5 ms, 37.6%), while every cell at or above 10 ms overshoots by at most 6.3%. So repsFor() keeps 15 while a language's cheapest arm is under 5 ms and otherwise spends ~150 ms per cell, floored at 7 \u2014 15 for go, csharp, dart, kotlin, java, cobol, swift, rust, python, c and cpp (every language the flakiness above was ever about, cheapest arm 0.19-3.2 ms) and 7-8 for csharp_csproj, ruby, php, javascript, typescript and vue (cheapest arm 20-28 ms). Per LANGUAGE, not per cell, so all five arms of a language share one estimator and the four ratios stay comparisons of like with like. The replay passed all 85 cells on all five gates at 0.4-0.7 of budget and saved 12.8 s and 12.4 s of a 46 s run; min-of-7 also reads slightly HIGHER than min-of-15, so the ceilings get marginally more sensitive rather than less. Confirmed on 4 fresh runs with the adaptive estimator live: every small arm inside 1.12x peak-to-peak and every collide arm inside 1.07x, with the six 7-8 rep languages at 1.008-1.071 \u2014 no worse than the 11 that kept 15. The chosen N is reported per language as `reps`. heap_ceiling_bytes bounds the retained per-pass import index, the only arm here that can see memory: buildSuffixIndex emits maps at O(files x depth), the profile package-dir-index.ts cites #2649 to avoid for itself, and csharp, ruby, php and java all retained NOTHING across imports at BASE (C#'s no-csproj leg and PHP's and Java's every leg re-scanned the raw Set; Ruby rebuilt and discarded a suffix index per require). It is measured at 8000 and 32000 files at HEAP_PAD depth rather than at the timing arms' sizes, because the finding is an ABSOLUTE footprint at repository scale. THE ARM NOW READS WHAT THE LANGUAGE READS, and that change is the whole reason this file was re-baselined. Four of these arms used to call getWorkspaceFileIndex(set) directly and then read index.all.length, which asks no suffix question at all \u2014 harmless only while buildSuffixIndex built both maps eagerly. The moment they went lazy the direct call built NO map, csharp, ruby, php and java each reported 0 B at 32000 files, and 0 B is under every ceiling: --check printed PASS over four gates that had silently become ceilings over nothing, which is precisely the failure this file's own header warns about for rust and cobol. Every arm now resolves a real MISSING import through the real resolver (HEAP_PROBE_TARGET, asserted to miss), so the maps it forces are the maps production forces, and a resolver that starts asking a new question moves the number without anyone editing the bench. That makes the READ PATTERN the dominant term, and the eight numbers say so: java 34958600 B and csharp 29862200 B ask index.get and never getInsensitive; php 37579888 B asks getInsensitive and never get, plus its own first-proper-suffix map; ruby 41025360 B and javascript 26745296 B read get(s) || getInsensitive(s) and pay for both, the second DERIVED from the first; and csharp_csproj 73705944 B additionally asks getFilesInDir. csharp_csproj IS NOW GATED, reversing the earlier decision that it would be 'a ceiling on a duplicate': at +20.8% of the C# index it was one, and at 2.47x of it \u2014 same corpus, same getWorkspaceFileIndex, three maps instead of one \u2014 it is the witness that the read pattern is the footprint. The old RESIDUAL note is superseded by that number: a dirMap-sized addition is no longer +18%, and a consumer that asks all three questions blows csharp's ceiling by 1.64x rather than sliding under it. A SECOND MEASUREMENT BIAS was removed at the same time and it moved every figure here, so do not read these against the old ones as if only the read pattern changed. buildFiles mints paths with template literals, which V8 keeps as ropes; the first traversal that slices one flattens it, allocating the flat string and dropping the rope's pieces, so a build measured over an unflattened corpus reports the index MINUS that net release \u2014 11% low, uniformly. bytes_small was read over a corpus a discarded warm-up pass had already flattened and bytes_large over a fresh one, so every ratio read ~0.85-0.89 for structures that are exactly linear in the file count. measureHeap now flattens each corpus before measuring it; all eight ratios read 0.998-1.017, and the warm-up pass is gone because with the corpus flat a language's first and second reads agree to within 0.3%. python's figure rises from 7624992 to 10362976 for this reason and not because anything regressed, and then to 10543152 (+1.7%) because #2913's nestedDirNames set is retained for the pass, and then FALLS to 6360936 (-39.7%) for a reason worth knowing: byBasename holds roughly one bucket per file, and building each with `[]` followed by `push` made V8 grow the backing store to its 16-slot minimum, so every single-file bucket retained 15 empty pointer slots. Constructing the one-element buckets directly (`set(base, [entry])`) is byte-identical in contents and 3.9 MiB smaller at 32000 paths \u2014 37% of what this arm used to read was empty array slots \u2014 the ancestorsByDir memo itself is NOT in this reading, because python's probe target misses at the nested-name rejection and never reaches the walk, so this arm does not bound that memo; measured separately with a probe that does reach it, a 32000-file corpus with every file in its own 10-deep directory retains ~19 MB, which would clear this ceiling, so repointing python's heap probe at a walking spelling means re-recording the ceiling in the same change, and c is unchanged at 10018816 because its basename map does not slice paths. Its ceiling is 1.5x the measured arm, and the DIFFERENCE FROM THE 4x TIMING CONVENTION IS DELIBERATE \u2014 do not harmonise it back. 4x exists because runner contention dominates a wall-clock number; this one has essentially no measurement noise (across 4 runs the widest spread was 0.11% on python, 0.03% on csharp_csproj and 0.00% \u2014 identical to the byte \u2014 on ruby, php, java, javascript and c, and the same holds across separate processes), so 4x would throw away almost all of the gate's power and sail straight past the regression this arm exists to catch. 1.5x still tolerates ~50% of cross-platform and Node-version drift, far more than a Node major bump plausibly moves heapUsed accounting; it catches a duplicated index (+100%) or a second exactMap-sized suffix map (+~85%). heap_floor_fraction is the arm the 0 B incident proved was missing. A ceiling can only say 'not too big'; nothing said 'still measuring something', which is why four dead arms passed. The floor is 0.5 x each language's RECORDED READING (heap_reading_bytes), which is half the measured size and says so. It used to be 0.33 x the CEILING, described the same way \u2014 true only while every ceiling stayed at exactly 1.5x its reading, a convention this file states and nothing enforces, so re-tuning one ceiling upward would have loosened that language's floor by the same factor in the one direction a floor exists to watch. The two forms agree to within 0.8% for all eight today, so this is a correction of derivation, not of strength. It sits ~400x above the readings' own reproducibility and far below any collapse. A genuine 2x memory WIN trips it too, and that is intended: like a fingerprint move, it must be explained and re-baselined rather than absorbed. COBOL is left out for the opposite reason: its index is two Map<basename, path>, O(files) with no depth term, and at 32000 files its retained delta does not clear the noise of the measurement itself. heap_ratio_budget, the linear-growth check across the 4x file-count gap, is the orthogonal arm: it sees per-file and per-depth growth but not a constant factor. ---- THE EIGHT LANGUAGES ADDED LAST (swift, rust, python, javascript, typescript, vue, c, cpp) ---- They carry the SAME five arms and the same gates; what differs is which arm can actually fail for each, because each resolver has a different cost axis, and the budgets below say so instead of copying a number across. Every figure quoted is the MAXIMUM over 5 full runs on an idle box, and the peak-to-peak of every one of these arms stayed inside 1.10x over those runs \u2014 tighter than the 1.13-1.26x the original nine record, because none of these arms divides two sub-1 ms numbers the way dart depth_ratio does. depth_budget is ~1.5x measured throughout: swift 2.3 (1.487), rust 2.1 (1.377), javascript 2.1 (1.376), typescript 2.1 (1.381), vue 2.3 (1.563), c 3.0 (1.990), cpp 3.0 (1.999). PYTHON WAS 11 AGAINST 7.389 AND IS NOW 2.6 AGAINST 1.872, because #2913 fixed the resolver rather than the budget. Its INDEX was always depth-free; hasRepoCandidate and resolveAbsoluteFromFiles each rebuilt one ancestor prefix per directory component of the importer on EVERY import, and the index's own dirPrefixes build inserted one entry per component per file, so the resolver was quadratic in path depth where every other language here is linear or flat. The prefixes are a pure function of the importer's DIRECTORY, so they are now memoized per directory inside getPythonFileIndex (ancestorsByDir), the leading segment is rejected up front against a set of nested directory names, the module and package buckets are consulted before the walk rather than inside it, and the dirPrefixes build stops at the first ancestor already stored. All five fingerprints are byte-identical, so it is a hoist. The budget is 2.2, and BOTH numbers behind it were re-measured on a quiet box AFTER the context leg below started being measured, because that change moved the arm: the work it adds is depth-FLAT, so python's absolute cost more than doubled while depth_ratio FELL to 1.405-1.563 over 5 serial runs (peak-to-peak 1.11x). A budget carried over from before that change would have been slack against a smaller ratio. 2.2 is 1.41x the measured maximum, inside the 1.37-1.75x band the other fifteen sit in, and it LOCKS THE WIN IN: reverting the per-directory ancestor memo alone scores 2.524 and reverting the nested-name rejection alone scores 2.553, both measured under the current call shape, so each fails at 2.2 with 13% to spare. Do not read those two figures as the pre-#2913 cost \u2014 7.239 was that, and the gap closed because the bare-import tier stopped walking at all (see below). The other two parts of the fix are not gated by this arm and are not meant to be: reverting the bucket prune or the dirPrefixes early break lands under any budget this arm's noise supports, so they are gated deterministically instead, by the prefix-parity and package-probe arms of test/unit/scope-resolution/python/python-importer-ancestors.test.ts and python-import-target-parity.test.ts, which go red on exactly those two mutations. A timing budget catches what it can measure; the counts catch the rest. THE BARE-IMPORT TIER (`import os`, single segment, no dot) was a separate O(depth) walk in import-resolvers/python.ts that this bench cannot see at all, because every python arm here spells its imports with a dot and returns at the `pathLike.includes('/')` guard before reaching it. It ran TWICE per `from x import y` \u2014 the package probe's recursion re-ran the whole tail on identical inputs \u2014 and is now one memoized chain plus an O(1) proof-of-absence against the index's basename buckets: 12/24/72 Set probes at depth 1/4/16 became a flat 2, and 11.615 us/import at 18 path components became 0.740. Gated by probe COUNT in test/unit/scope-resolution/python/python-import-probe-count.test.ts, not here. collide_scaling_budget splits three ways. Three languages scan a bucket that grows with the corpus and get their measured value x1.5: swift 4.9 (3.279 \u2014 its bucket is the module file list it RETURNS, and its collide arm is four modules instead of dirs of them so that bucket is fileCount/4, i.e. 100 files at 400 and 400 at 1600), c 3.8 (2.535) and cpp 4.0 (2.639, the same basename bucket its suffix fallback walks). Four answer from keyed maps and keep the linear 1.8 \u2014 python 1.097, javascript 1.083, typescript 1.053, vue 1.079 \u2014 and that immunity IS the assertion, exactly as for ruby, kotlin, php and cobol. RUST IS THE ONE ARM THAT WAS REDESIGNED RATHER THAN BUDGETED. It resolves by probing candidate paths with allFilePaths.has(...) and never searches, so its cost is O(path segments) and provably flat in the file count (1.095 scaling, 1.061 collide scaling): a shared-leaf collide arm for rust would have asserted nothing, which is worse than no arm. Its collide corpus is instead a deep module tree (src/l0/l1/l2/l3/l4/mod{d}) whose targets carry ~2x the :: segments, so the arm exercises the axis that CAN grow, its 1.8 budget asserts the flatness across file counts, and collide_ms_ceiling 19 bounds the absolute cost of the long-path probe. small_ms_ceiling and collide_ms_ceiling are ~4x measured as everywhere else: rust 10/19 (2.609/4.704), python 7/8 (1.76/1.929, retightened from 12/15 against 3.044/3.771 by #2913), javascript 85/89 (21.254/22.145), typescript 85/86 (21.250/21.464), vue 81/93 (20.164/23.227), c 7/11 (1.620/2.850), cpp 7/12 (1.581/3.009). Swift takes ~5x (2 against 0.421 and 4 against 0.821) \u2014 the multiplier dart and cobol already carry, because a fixed scheduler hiccup is a larger fraction of a sub-1 ms number. ONE CAVEAT ON THE THREE ts-FAMILY MS NUMBERS, stated because nothing else in this file would reveal it: resolveTsTarget carries a per-pass resolveCache keyed currentFile::importPath, which no other resolver here has, and ~10% of this corpus is repeat pairs. Their us/import is therefore a slight underestimate of a cold resolve. It is left in rather than defeated because it is what the real pipeline does, and it is identical across all three so the arms stay comparable. HEAP for the eight: rust, swift, typescript, vue, cpp and cobol are still NOT gated, all of them measured before being left out. rust builds no index on this hook (16 B at 8000 files, 0 B at 32000); swift holds one pointer per file-times-segment and mints no strings, reading 0.98 MB at 8000 files against 0.29 MB at 32000 \u2014 a 4x larger corpus reading 3x SMALLER, which is what a measurement below its own noise floor looks like, and the same reading cobol gives (0.54 MB then 0 B); typescript and vue duplicate javascript through the same builder over the same-shaped corpus, and cpp duplicates c (10021320 against 10016960, 0.04% apart). Those four duplications are the ONLY exclusions that still rest on 'it would be a duplicate', and they are duplicates of a builder AND of a read pattern, which is the pairing csharp_csproj failed once the read pattern started to matter \u2014 if any of the four ever diverges in what it ASKS the index, it earns an arm the same way csharp_csproj just did. All eight gated arms are read the same way now (retainedPassBytes, one real import), so unlike before they are directly comparable to one another. WALL CLOCK \u2014 ~33-35 s in report mode, down from ~46 s, and ~44-45 s for --check, which is essentially UNCHANGED from ~46 s. Only report mode got faster; do not read the pair as 46 -> 42. The breakdown is worth having before anyone trims it. Timing arms: go 2.02, csharp 1.09, csharp_csproj 3.22, dart 0.41, ruby 2.90, kotlin 0.85, php 3.46, java 1.57, cobol 0.09, swift 0.46, rust 0.85, python 1.22, javascript 3.23, typescript 2.72, vue 2.89, c 0.86, cpp 0.91 (28.7 s, from 39.8 s: repsFor() accounts for all of it, and every second of it comes from the six languages whose cheapest cell is 20-28 ms); heap arms 3.43 s for SEVENTEEN languages, from 2.06 s for eight (every registered language is measured now; the nine added cost 1.37 s, of which kotlin alone is 0.57 s \u2014 see _heap_bound_note), and 2.1 s came from 3.0 s for seven when flattening retired the warm-up pass; module load 3.9 s. --check pays one import that report mode does not: the inventory arm loads pipeline/registry.ts, which drags in every registered scope resolver and its providers. Measured in isolation with the bench's own static imports already resident, that import costs 6.3-6.5 s on one box and 9.3-10.0 s on another \u2014 i.e. it consumes almost the whole repsFor win, which is why --check did not get faster. It is loaded dynamically at the point of use rather than at the top of the file, so report mode does not pay it and both modes take their measurements in the same module state. IT WAS WEIGHED AND KEPT, on the number that decides it: the benchmarks job is not CI's critical path. On the last green run of main it took 9 m 23 s against 12 m 58 s for the sharded coverage job that gates the merge, so ~4 m 40 s of slack sits above this bench and those seconds buy zero merge latency. Moving the arm to a vitest file would move the registry load ONTO the critical path, and would weaken it as well: this reconciles LANG_REGISTRY's SupportedLanguages values, which are what the five dispatcher branches key off, whereas a test that cannot import measure.mjs can only reconcile this file's arm NAMES plus a hand-written rule for de-aliasing csharp_csproj. The contract test import-target-index-reuse.contract.test.ts already covers the ADAPTER-boundary contract for every registered resolver; this arm covers a different claim, that the BENCH covers the pipeline. The ts family is still the largest single block of the timing phase (8.8 s) \u2014 its cost is suffixResolve probing ~39 extensions per path part on a miss, which is the real resolver and cannot be tuned away from the bench side. IF IT HAS TO SHRINK, drop collide and collide_large for typescript and vue and nothing else: -3.9 s, and it is the only cut that removes near-duplicate work rather than coverage, because all three run the same resolveTsTarget over the same buildSuffixIndex and javascript keeps the collide arm that covers their shared collision axis. Do NOT reach for REPS_MAX: it is 15 because depth_ratio tripped its own budget about 1 run in 20 at 5 and once at 7, and lowering it would re-open that for the eleven languages whose cheapest cell is sub-5 ms \u2014 which is where every recorded trip happened. The six languages it was safe to lower have already been lowered, per language and from a measurement, by repsFor(). ---- THE FIFTH ARGUMENT (context) AND THE TWO ARMS IT MOVED ---- resolveOne now makes run.ts's five-argument call for the two hooks that declare a fifth parameter, so php and python time the legs behind it. Nothing else moved: the other fifteen arms are handed no context and build no ParsedFile[] at all, and over five runs their five ms numbers and four ratios sit exactly where they did. Both languages' ten fingerprints, resolved counts and distinct_outcomes are IDENTICAL \u2014 the leg AGREES with the cascade on this corpus, which is the whole reason the context arm had to be added rather than leaving the fingerprint to notice. PHP: small_ms 27.762 -> 35.125 (+26.5%) and collide_ms 29.407 -> 36.182 (+23.0%), which is filesByDirectory plus, on every import that resolves, a candidate gather over the resolved file's directory and a localDefs filter; the ms ceilings keep PHP's own 4.21x and 4.26x multipliers (117 -> 148, 125 -> 154). depth_ratio 1.144 -> 1.283 and the 1.9 budget is UNCHANGED, which makes it 1.48x measured rather than 1.66x: directoryAliases emits one entry per path segment, so filesByDirectory is O(files x depth) and the depth arm is the only one that can see it \u2014 that budget got TIGHTER relative to its measurement, not looser, and 1.48x sits inside the 1.37-1.75x band the other sixteen carry. Its heap reading rises 37576816 -> 49574008 (+31.9%) for the same structure, and the reading is the MEMO rather than the workspace it indexes: newPass allocates the ParsedFile objects before retainedPassBytes takes its baseline sample, so they sit outside the delta. PYTHON, WHOSE FIGURES ARE THE LEAST SETTLED THING IN THIS FILE AND ARE RECORDED IN TWO SNAPSHOTS BECAUSE OF IT. A named import is the only spelling that reads context.parsedFiles, and it costs up to three entries into the resolver per import (package probe, exports check, submodule probe) where the synthetic namespace spelling this arm used to pass costs one. Against the resolver as it stood when the call shape changed that read small_ms 1.76 -> 5.751 and collide_ms 1.929 -> 5.894, ~3.1x. Against the resolver a few commits later \u2014 which stopped re-running the whole tail after a null package probe, a double-probe this bench could not previously see because the namespace spelling never entered that branch \u2014 the same arms read 4.404 and 4.505. The ceilings are 18 and 19, chosen to clear BOTH: 4.09x and 4.22x of the current numbers, 3.13x and 3.22x of the higher ones, so neither state is red. Retighten toward 4x once that resolver settles. ITS DEPTH ARM WAS DILUTED AND THE BUDGET IS RETIGHTENED TO MATCH, which is the one thing here worth arguing about: the added work is depth-FLAT, so depth_ratio FALLS 1.872 -> 1.478 while the absolute cost more than doubles, and 2.6 against 1.478 would be 1.76x \u2014 far looser than the 1.39x #2913 chose deliberately to lock its own fix in. 2.1 restores that multiplier (1.42x). THE TWO MUTATION SCORES #2913 RECORDED (3.123 for reverting the per-directory memo, 2.734 for reverting the nested-name rejection) WERE TAKEN AGAINST THE OLD CALL SHAPE AND HAVE NOT BEEN RE-TAKEN. Modelled forward, with the depth-quadratic term reappearing in every resolver entry so its absolute contribution scales with the entry count, they land near 2.8 and 2.4 \u2014 both above 2.1, and the second BELOW 2.6, which is the arithmetic that decided the budget. Re-run the two mutations before trusting the lock-in claim above. python's heap reading is unchanged (10543152 recorded; 10529848-10544616 across eight runs) because its probe misses before the branch that reads parsedFiles \u2014 see _blind_spot for why no probe can reach that memo. Every figure in this section is the MAXIMUM over its snapshot's runs (five, then three), with peak-to-peak 1.031-1.058 on php and 1.019-1.081 on python, taken on a box that was NOT idle and with another change landing in python's resolver mid-measurement. Re-take them serially before merging.",
  "_triage": "Every ratio and ms ceiling here is a TIMING signal \u2014 re-run on an idle machine before investigating; runner contention dominates. depth_ratio is the noisiest of them by a wide margin (it divides two sub-3 ms numbers, and Dart's are sub-1 ms): if exactly one arm fails and it is that one, suspect the machine first. N is 15 for every language whose cheapest arm is under 5 ms, rather than this bench's original 5, specifically to hold that arm's peak-to-peak swing under 1.26x \u2014 see _arms_note for the measured distributions and for why the six languages that drop to 7-8 are the ones where cell size makes it safe \u2014 so a depth_ratio failure that REPRODUCES is a real signal, not noise. Each language's chosen N is printed as `reps`; read it before blaming the estimator. The fingerprint, shape and heap arms are the opposite: deterministic (over 4 runs the heap arm's widest spread was 0.11% on python and 0.00% on java, javascript and c), a re-run never changes them, and they must never be wished away. TWO heap failures mean the arm STOPPED MEASURING rather than that memory grew, and both are deterministic: a heap floor failure says the probe no longer forces the index it used to (this is how four arms read 0 B when buildSuffixIndex went lazy, and 0 B passes every ceiling), and a `heap probe ... resolved` throw says a probe target that must MISS now hits, so the reading is a materialized answer and the legs past it were never reached. A heap BOUND failure is deterministic in the same way and means one specific thing: a language excluded from the budgeted tier has grown a structure, or started asking its index a question it did not ask when the exclusion was recorded \u2014 never a timing signal, never a re-run, and never fixed by raising the bound without saying what grew. The context arm is deterministic too, and a failure there means one specific thing rather than a range of them: run.ts's fifth argument is not reaching that resolver from this bench, or the leg behind it stopped running. Never a timing signal, never a re-run. TIGHTENED IN #2881, because the measurements they bound got faster and a budget left alone while its reading falls is a gate loosening without anyone deciding to. Each new value holds the headroom the old one expressed over the old reading, computed from `_measured` on both sides: kotlin depth 3.4 -> 2.8 (reading 2.219 -> 1.813), go depth 1.6 -> 1.4 (1.169 -> 0.999), csharp depth 2.2 -> 2.0 (1.438 -> 1.279), java depth 2.2 -> 2.1 (1.402 -> 1.354), kotlin collide_scaling 1.8 -> 1.65 (1.179 -> 1.081), go collide_scaling 5.5 -> 5.1 (3.763 -> 3.465). The ABSOLUTE ms ceilings were deliberately NOT tightened by the same reasoning: they carry runner-contention headroom rather than measurement headroom, and a ratio is runner-speed-invariant where a millisecond is not.",
  "_floor": "Measured against the pre-change implementations on THIS corpus at 150/600 files: go 3.36, csharp 4.10, dart 3.32, ruby 3.87. The issues report 4.00 / 3.43 / 4.05 on their own corpora; those are DIFFERENT numbers from different repositories and are not reproduced here \u2014 what they and these share is that both independently land in the quadratic band, well clear of the ~1.0 a linear result gives. Note also that this floor was taken at 150/600 while the gate runs at 400/1600, so it is a lower bound on what the pre-change code would score today. Kotlin's own bench measured its pre-index floor at 3.737. The four resolvers added later were NOT re-floored on this corpus, and the reason is that they do not need to be: every one of their pre-change legs walked the whole file set per import (PHP one findIndex per path part per extension, Java one scan per stripped prefix, COBOL two full scans per COPY, C# csproj one normalizedFileList pass per import per matching config), so their scaling_ratio is ~4 by construction rather than by measurement. Their per-import costs were measured on their own issue corpora instead: PHP 96.40 ms -> 0.036 ms, Java 8.05 ms -> 0.62 ms, COBOL 3879 us -> 10.5 us, C# csproj 1103 us -> 7.6 us. The 1.8 budget sits well above the linear result and well below every one of those. The eight languages added last were NOT floored either, and for a different reason again: they are not fixes, so there is no pre-change implementation to floor against. Their scaling budgets are the global linear 1.8 and the point of the arms is to hold the current numbers (measured 1.01-1.13) rather than to separate a fix from a break. The one exception is javascript, which IS a fix and does have a floor: 6448.9 us per import at 2000 files and 25972.6 us at 8000 \u2014 4.12x the per-import cost for 4x the files, i.e. O(imports x files) \u2014 against 28.5 / 27.4 us with the index PR #2911 gave it, and 25.0 / 27.0 us for TypeScript over the identical corpus.",
  "_rebaselined_2910_java_declared_packages": "#2910 replaces Java path-suffix fallback with declared-package resolution. The benchmark now restores package capture side channels, threads parsedFiles through javaScopeResolver, proves the context leg with a positive path/package-mismatch probe, and models the collide arm as one package declared across service paths. External imports now remain unresolved; local exact and wildcard imports preserve the 1153/4681 workload. Java's index is package/type maps rather than suffix maps: bytes_large 34958600 -> 3676984, with its floor and ceiling re-recorded together. Depth and collision scaling budgets tighten to the shared linear 1.8 gate.",
  "scaling_budget": 1.8,
  "collide_scaling_budget": {
    "go": 5.1,
    "csharp": 3.4,
    "csharp_csproj": 1.8,
    "dart": 3.3,
    "ruby": 1.8,
    "kotlin": 1.65,
    "php": 1.8,
    "java": 1.8,
    "cobol": 1.8,
    "swift": 4.9,
    "rust": 1.8,
    "python": 1.8,
    "javascript": 1.8,
    "typescript": 1.8,
    "vue": 1.8,
    "c": 3.8,
    "cpp": 4
  },
  "depth_budget": {
    "go": 1.4,
    "csharp": 2.0,
    "csharp_csproj": 2.3,
    "dart": 1.6,
    "ruby": 2.2,
    "kotlin": 2.8,
    "php": 1.9,
    "java": 1.8,
    "cobol": 1.6,
    "swift": 2.3,
    "rust": 2.1,
    "python": 2.2,
    "javascript": 2.6,
    "typescript": 2.6,
    "vue": 2.3,
    "c": 3,
    "cpp": 3
  },
  "small_ms_ceiling": {
    "go": 7,
    "csharp": 11,
    "csharp_csproj": 97,
    "dart": 3,
    "ruby": 77,
    "kotlin": 12,
    "php": 148,
    "java": 17,
    "cobol": 2,
    "swift": 2,
    "rust": 10,
    "python": 18,
    "javascript": 85,
    "typescript": 85,
    "vue": 81,
    "c": 7,
    "cpp": 7
  },
  "collide_ms_ceiling": {
    "go": 28,
    "csharp": 22,
    "csharp_csproj": 105,
    "dart": 6,
    "ruby": 95,
    "kotlin": 12,
    "php": 154,
    "java": 26,
    "cobol": 1.5,
    "swift": 4,
    "rust": 19,
    "python": 19,
    "javascript": 89,
    "typescript": 86,
    "vue": 93,
    "c": 11,
    "cpp": 12
  },
  "heap_ceiling_bytes": {
    "kotlin": 46000000,
    "go": 4497696,
    "dart": 11751300,
    "cpp": 15035016,
    "csharp": 44900000,
    "csharp_csproj": 110600000,
    "ruby": 61600000,
    "php": 74400000,
    "java": 5600000,
    "python": 9541404,
    "c": 15000000
  },
  "_heap_reading_note": "The measured bytes_large each heap_ceiling_bytes entry above is 1.5x \u2014 every entry except kotlin's, which is 1.0747x for a stated reason (see _heap_compaction_gate). Recorded so the FLOOR can be derived from the reading instead of from the ceiling. It used to be 0.33 x the ceiling, described as 'half the measured size' \u2014 which held only while every ceiling stayed at exactly 1.5x its reading, a convention this file states and nothing enforces, so re-tuning one ceiling upward would have loosened that language's floor by the same factor in the one direction a floor exists to watch. 0.5 x the reading is the same effective floor to within 0.8% for all eight and says what it means \u2014 and it is what let kotlin's ceiling be tightened to 1.0747x without moving kotlin's floor by a byte, which is exactly the independence this key was introduced for. These are NOT asserted for equality: they reproduce to the byte across processes on one box, but a Node major or a different platform moves heapUsed accounting, and the ceiling/floor pair is what tolerates that (+50%/-50%, and +7.5%/-50% for kotlin). Re-baseline a ceiling and re-baseline the reading with it \u2014 they are two views of one measurement.",
  "_heap_compaction_gate": "WHY KOTLIN'S CEILING IS TIGHT AND EVERY OTHER ONE IS 1.5x. It is the only ceiling in this file that gates a size REDUCTION being preserved rather than a footprint not growing: #2881 compacts getKotlinFileIndex's dirChildren buckets (`bucket.slice()` before the freeze), and until this entry existed nothing anywhere could see that compaction disappear. MEASURED, not assumed \u2014 head against a copy of languages/kotlin/import-target.ts with the slice deleted and Object.freeze kept, one process, the same corpus this arm builds: bytes_large 42805256 -> 48184784 (+12.57%), bytes_small 10676432 -> 12020736 (+12.6%), byte-identical over three runs. NOTHING ELSE MOVES for that mutation. Every arm of bench/kotlin-import-target is output-identical (its fingerprint, cases and non_null cannot see an array's spare capacity); test/unit/scope-resolution/kotlin/kotlin-index-internals.test.ts stays green and says so in its own header, because a JS array's backing-store capacity has no reflective surface; heap ratio is 1.002 either way, since both scales grow together and a ratio divides the growth out; and at the old ceiling of 64203684 the heap arm passed with 25% to spare. DIRECTION MATTERS: compaction RECLAIMS, so losing it makes the reading GROW. The gate is therefore the CEILING. A floor cannot see this mutation in any sizing, and kotlin's floor stays the file-wide 0.5 x reading. WHERE THE 5.4 MB COMES FROM, so the number can be re-derived rather than trusted: the heap corpus is 32000 files over 4000 directories, 8 files each, and a directory contributes one dirChildren key per component-suffix of its path (~15.3 keys at HEAP_PAD 8), so ~61000 buckets of length 8. On this repo's Node a bucket minted as [raw] and pushed to 8 sits in a 19-slot backing store \u2014 the capacity steps kotlin-index-internals.test.ts records \u2014 leaving 11 slots, 88 B, of retained slack per bucket. 61000 x 88 B is ~5.4 MB, which is the delta. HOW 46000000 WAS CHOSEN: reading 42802456, plus 7.5% is 46012640, rounded down to 46000000 (1.0747x). PROVEN both ways through the real gate, not argued: a full `--check` over a copy of measure.mjs whose only difference is the kotlin import, pointed at a resolver with the slice deleted, reads 48203376 B (45.97 MiB) and fails on THIS ARM ALONE \u2014 every fingerprint, every corpus count, every timing ratio and the heap ratio all stay green, which is the claim 'nothing else moves' turned into a run. That is 4.8% clear above the ceiling. Both margins are three orders of magnitude larger than the measurement's own spread (peak-to-peak 1.0001 over three runs of the isolated arm, 1.0004 over the five runs _heap_bound_note records). The 7.5% is also an order of magnitude above the widest cross-run movement any heap arm in this file shows on this box: kotlin itself reads 42802456 B in a full `--check`, byte-identical to the recorded value, and the noisiest reading here \u2014 csharp_csproj, the one prior sessions found unreproducible \u2014 moves 0.78% between runs. A LOADED RUNNER DOES NOT MOVE THIS NUMBER and the tolerance is not for one: this is a forced-GC heapUsed delta over structures held alive across the window (see HEAP_RETAINED), so scheduler contention has no term in it. What can move it is heapUsed ACCOUNTING \u2014 a Node major, a heap above the pointer-compression cage, a 32-bit platform. TRIAGE, and it is what makes the tight ceiling safe to run: that class of change moves EVERY reading in the run, so compare kotlin against the other 13 budgeted readings in the SAME run before touching this key. kotlin alone over its ceiling with the rest of the file at its recorded values is a lost compaction; everything moving together is a runner change and a whole-file re-baseline. WHAT IT DOES NOT CATCH: any regression under 7.5%, and a compaction that still runs while something else in the index grows to fill the headroom.",
  "heap_reading_bytes": {
    "kotlin": 42802456,
    "go": 2998464,
    "dart": 7834200,
    "cpp": 10023344,
    "csharp": 29869080,
    "csharp_csproj": 73703384,
    "ruby": 41020808,
    "php": 49574008,
    "java": 3676984,
    "python": 6360936,
    "c": 10018816
  },
  "_heap_bound_note": "THE SECOND HEAP TIER. Every registered language is measured now; heap_bound_bytes gates the nine that are not BUDGETED above, and it gates them with one comparison and no floor. A ceiling says 'this index is not too big'. A bound says something narrower and it is the thing that was missing: 'the exclusion still holds' \u2014 this language has not grown an index since it was left out. measure.mjs's MEMORY section states the re-entry condition (if a language ever diverges in what it ASKS its index, it earns a budgeted arm) and until now nothing watched for the divergence; HEAP_LANGS was a hand-maintained list of eight whose two neighbours, LANG_REGISTRY and CONTEXT_LANGS, are both reconciled against a derived predicate in both directions. HEAP_BOUNDED is derived too \u2014 it is LANGS minus HEAP_BUDGETED \u2014 so the two tiers partition the languages and a new one cannot land outside both. WHAT RE-MEASURING FOUND, five runs each, maximum quoted, peak-to-peak in brackets. go 2998464 B [1.0021], dart 7834200 B [1.0006] and kotlin 42802456 B [1.0004] HAD NO STATED REASON AT ALL: the old prose opened 'SIX of the seventeen are deliberately NOT in HEAP_LANGS' against a list of eight of seventeen, and these three were the three nobody counted. All three retain a real per-pass structure (go's PackageDirIndex, dart's basename buckets, kotlin's suffixByStem cascade) and kotlin's 40.82 MiB is above ruby's 39.12 and java's 33.34, both of which carry a full budget. (It read 45.85 MiB when this was written, described here as 'the second-largest reading in this file' \u2014 it was third even then, behind csharp_csproj and php; #2881 later compacted its dirChildren buckets and took 11% off it. Same staleness this paragraph exists to document.) swift 3449216 B [1.0024] and cobol 2320456 B [1.0000] were excluded as 'below the measurement's own noise floor' on readings of 0.29 MB and 0 B at 32000 files; they now read 3.29 MB and 2.21 MB, growing with the corpus (969120 B and 536264 B at 8000). Those old numbers were not wrong when taken \u2014 the ARM changed under them, when #2903's follow-up made every probe resolve a real import and when measureHeap began flattening its corpus \u2014 which is the whole finding: a measurement written into prose is not re-taken, and this file had already gone stale against itself, quoting javascript at 46208832 B four paragraphs after quoting it at 25.51 MiB. rust is the one exclusion that survived unchanged: 16 B at 8000 files and 16 B at 32000, identical in all five runs. typescript 26745296 B, vue 28884016 B and cpp 10023344 B are duplicates of a builder AND of a read pattern: typescript is byte-identical to javascript's 26745296 in four runs of five, cpp is +0.05% of c's 10018816, vue is +8.0% of javascript. HOW THE BOUNDS WERE CHOSEN. Each takes 1.5x its measured maximum, rounded up to the next 100000 B: cobol 3500000 (1.508x), swift 5200000 (1.508x). (This sentence used to list eight, including go, dart, kotlin, typescript, vue and cpp. Those six were promoted to the budgeted tier and their bounds deleted; the numbers stayed here, unread by any gate, and #2881 dutifully updated kotlin's to 64300000 before anyone noticed heap_bound_bytes holds only cobol, swift and rust. A number nothing asserts is a number that rots \u2014 the finding this paragraph is otherwise about.) 1.5x is NOT copied from the ceilings out of habit \u2014 it is the same number for a stated reason, and the reason is not noise: measured peak-to-peak on this box is at most 1.0024, so noise alone would justify 1.05x. What a bound has to survive is a RUNNER change, since heapUsed accounting moves across platforms and Node majors, and this file already fixes that allowance at 50% for exactly this measurement on exactly this arm. Using a second allowance for the same uncertainty on the same number would be two conventions, not more rigour. At 1.5x the bound catches what the re-entry condition is about \u2014 a language growing an index, which costs +85% for one more suffix map and +100% for a duplicate \u2014 and it does NOT catch a duplicate diverging by 8%. That limit is real and is stated rather than hidden: the tight form is a same-process ratio against the arm each duplicate is a duplicate OF, which is the only form immune to the drift the absolute bound has to tolerate. RUST TAKES AN ABSOLUTE BOUND INSTEAD, 1048576 B (1 MiB), because 1.5 x 16 B is 24 B and would fail on the first byte of anything \u2014 a multiplier on a reading that is already nothing is a gate that flakes rather than a gate that bites. 1 MiB is ~65000x the reading and still 2.2x below the smallest real index measured here (cobol's 2.32 MB at the same file count), so it separates 'builds nothing' from 'builds something' with room on both sides. NO FLOOR ON ANY OF THE NINE, and the reason differs by language rather than being uniform. For rust a floor would be a floor on noise. For the other eight the readings are stable enough to floor today, and for kotlin and dart \u2014 larger than budgeted arms \u2014 a floor would be worth having, since a lazily-built map going quiet is exactly how the four budgeted arms once read 0 B. Adding one is a PROMOTION to the budgeted tier, with a ceiling and a recorded reading beside it, not a line here: a floor whose companion ceiling does not exist asserts 'still measuring' against a number nothing else bounds. Recommended next, in order: kotlin, then dart, then go.",
  "heap_bound_bytes": {
    "cobol": 3500000,
    "swift": 5200000,
    "rust": 1048576,
    "javascript": 1048576,
    "typescript": 1048576,
    "vue": 1048576
  },
  "heap_floor_fraction": 0.5,
  "heap_ratio_budget": 1.25,
  "languages": {
    "go": {
      "small": {
        "files": 400,
        "imports": 3200,
        "resolved": 1153,
        "distinct_outcomes": 2913,
        "fingerprint": "f2ff032eb7dc4d8f37ecfc9b56d7fc846c5a78cf9a4dfd9f78f4e04588fd0a90"
      },
      "large": {
        "files": 1600,
        "imports": 12800,
        "resolved": 4681,
        "distinct_outcomes": 11709,
        "fingerprint": "19bd34ab249a95fe93843cfb3f5ab84f8215ed0eaccef30ca50298e8dcde1d87"
      },
      "deep": {
        "files": 400,
        "imports": 3200,
        "resolved": 1153,
        "distinct_outcomes": 2913,
        "fingerprint": "67f8fa6657625080e912e417047320928f23f87ecd7a3f45283ad31684752195"
      },
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  "_blind_spot": "MEASURED, so nobody has to rediscover it: a full workspace scan reintroduced on 1-in-32 imports passes EVERY arm here \u2014 dart scored 1.458 scaling and 1.736 ms against the 1.8 budget and 4 ms ceiling of an earlier revision. At 1-in-8 the scaling arm catches it (2.414). The gate that NARROWS this is not a timing gate at all: test/unit/scope-resolution/import-target-index-parity.test.ts counts iterations of the file-set Set and reads 14 instead of 1 for that same 1-in-32 mutation, deterministically and for all five languages. It does NOT close it. The counter watches the Set, and the resolvers no longer read the Set \u2014 they read materialized copies of the same file list: WorkspaceFileIndex.normalized and .all (C#, Ruby), Dart's byBasename buckets, and PackageDirIndex.filesByDir (Go, C#). A 1-in-32 scan over any of those three touches the Set zero extra times, so it passes the parity test AND passes --check. Closing it would take an iteration counter on the materialized arrays themselves. Read the two gates together; tightening these ceilings toward the noise floor to chase that case would only buy flaky CI. CONFIRMED THE HARD WAY by PR #2911: JavaScript resolution was scanning ImportPassCache.normalizedFileList on every import \u2014 a materialized array, not the Set \u2014 at 25972 us per import at 8000 files, and no instrument on the #2901-#2909 branch could see it. It took a differential parity test over 211200 old-vs-new pairs to find. The arms added here would have caught THAT one on absolute ms (85 ms budget against a 20 ms arm; the unindexed resolver costs ~83000 ms on the same corpus), which is the argument for gating every registered language rather than only the ones a PR happens to touch. THE SECOND BLIND SPOT IS CLOSED, and this records what closing it changed. This harness used to call the inner resolvers with the NO-CONTEXT shape: run.ts calls provider.resolveImportTarget with five arguments, the fifth being { parsedFiles, parsedImport }, and resolveOne supplied three. resolveOne now makes the production call, newPass mints the ParsedFile[] FIRST and derives the path set from it exactly as run.ts does, and both legs behind the argument run on every import of their arms \u2014 PHP's named/alias function-or-const leg over filesByDirectory(context.parsedFiles), whose memo defeated measures 197.0 us -> 9976.2 us per import (50.6x), and Python's from-import submodule-precedence branch, the only spelling that reads context.parsedFiles at all. Fifteen of the seventeen arms cannot observe a context (their hooks declare three or four parameters) and are handed none, so their numbers did not move; which two CAN is now reconciled against SCOPE_RESOLVERS' hook arity rather than asserted in prose. NOTHING ELSE IN THIS FILE COULD HAVE GATED IT, which is why the context arm exists: on this corpus the leg AGREES with the cascade for every import, so all ten of PHP's and Python's fingerprints, their resolved counts and their distinct_outcomes are unchanged; a dropped context makes the timing arms FASTER and no arm here has a lower bound on ms; and the heap floor (0.5 x 49573840 = 24.8 MB) still passes the 37576816 B a no-context PHP pass reads. The arm is one import per language resolved through resolveOne twice, with and without the pass's parsedFiles, whose two answers must DIFFER and must both match what is recorded. WHAT REMAINS UNMEASURED, narrowed rather than deleted: Python's parsedFileByPath memo is exercised by the five timing arms and cannot be reached by the heap arm at all, because retainedPassBytes requires a probe that MISSES while every path that builds that memo returns a non-null packageTarget \u2014 so no ceiling bounds that Map (one pointer per parsed file, O(files), no depth term) and the contract test's count gate is what holds it to one build per pass. PHP's leg is measured with NO composer.json, so namespaceDirectories only ever returns the directory of an already-resolved file and the PSR-4 mapping branch stays unreached, exactly as csharp cannot reach the csproj leg; closing that is a second PHP arm on the csharp_csproj precedent, not a parameter. And the const tail of PHP's leg is a different ANSWER at the same cost \u2014 it runs the identical candidate gather and localDefs filter and diverges in the last two lines \u2014 so it is gated by count in test/unit/scope-resolution/import-target-index-reuse.contract.test.ts, which stays the gate to read alongside this file.",
  "_depth_budget_note_2953": "javascript/typescript/vue moved from 2.0-2.1 to ~2.2 in #2953 and their budgets were raised to 2.6, which is a real shift with an understood cause rather than a loosened guard. Declared resolution never walks path components, so the deep arm's uniform d0/../d15/ prefix reaches these resolvers as the tsconfig baseUrl (see tsBaseUrlFor in measure.mjs) and every candidate string carries it: resolveFile probes ~11 extensions plus their /index forms, and hashing a 60-character path costs more than hashing a 12-character one. The growth is linear in path LENGTH and independent of file COUNT, which is what the ratio exists to bound - a resolver that started walking the corpus again would move scaling_ratio, not just this. Measured over three runs on a loaded box: js 2.109/2.257/2.240, ts 2.129/2.222/2.467, vue 2.116/2.151/2.102.",
  "_heap_bound_note_2953": "javascript, typescript and vue moved from heap_reading_bytes/heap_ceiling_bytes to heap_bound_bytes in #2953. They retained 26745296 B (js, ts) and 28884016 B (vue) at 32000 files for a per-pass SuffixIndex over the whole file list; they now build no per-pass structure at all and read 0-16 B, because declared resolution derives nothing from the file set. That is a real saving rather than an arm that stopped measuring - the distinction this floor exists to make - and the evidence it is real is that the resolver fingerprints did NOT move: the same corpus resolves to the same targets, once the config it always implied is passed explicitly. The 1048576 B bound is rust's, chosen the same way: far above a 16 B reading, far below the index whose return it must catch."
}