Clean up codebase: rename stdlib layer, strip porting residue, fix tooling
Rename src/jolt -> stdlib (the runtime-loaded layer; jolt-core stays the seed-baked layer) and update the loader / emit-image / doc paths. Drop dead code: the spike/ experiments, the duplicate clojuredocs-export.edn (json moves to tools/), the Janet-era jolt.http binding, and the orphaned persistent_vector.clj whose ns/path didn't even match. Strip porting residue from comments and docstrings across host/chez, jolt-core, stdlib, tests, and docs: internal issue ids, "Phase N" markers, and the "vs Janet" historical exposition, leaving present-tense descriptions and the real JVM-Clojure semantic contrasts. Same pass over the corpus suite labels. The seed is unchanged (docstrings/comments aren't emitted), so the self-host fixpoint and corpus are untouched. Port tools/spec_coverage.py off the dead janet probe to bin/joltc and regenerate coverage.md; drop the dead :host/janet rule from certify.clj and regenerate the conformance profile. Add docs/host-interop.md (the JVM shims and how to register your own host class from a library) and a writing-style note in CLAUDE.md. Stabilize the four racy concurrency corpus cases (future-cancel and agent send/send-off): give the future a sleeping body and the agent a slow action, so cancel reliably catches an in-flight future and deref reliably reads the pre-update snapshot. They certify deterministically now, so drop their :flaky allowlist entries and the orphaned legend.
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#
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# Each benchmark isolates an axis the ray tracer (float-compute-bound) doesn't
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# capture — see README.md. Run back-to-back against `main` to measure a pass's
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# impact (the same protocol as test/bench/core-bench.janet).
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# impact.
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#
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# bench/run.sh # default sizes, whole-program optimization on
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# JOLT_WHOLE_PROGRAM=0 bench/run.sh # compare with WP off
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@ -20,12 +20,12 @@ export JOLT_PATH="$PWD"
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# name:default-arg (arg sized to run in a few seconds each). Axes: allocation
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# (binary-trees), megamorphic vs monomorphic dispatch, persistent-collection
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# churn (collections — now O(log n) via the HAMT, jolt-684u, so sized up), pure
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# churn (collections — now O(log n) via the HAMT, so sized up), pure
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# float compute (mandelbrot), call+arith recursion (fib).
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BENCHES="binary-trees:14 dispatch:2000 mono-dispatch:2000 collections:30000 mandelbrot:200 fib:30"
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# JVM=1 also runs each bench on JVM Clojure and prints a jolt/JVM ratio — the
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# holistic absolute-reference scorecard for the optimization epic (jolt-ffn).
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# holistic absolute-reference scorecard for the optimization work.
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run_one() {
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ns="${1%%:*}"; arg="${2:-${1##*:}}"
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jmean=$(jolt -m "$ns" "$arg" 2>&1 | awk '/^mean:/{print $2}')
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