bench: mono-vs-vdisp micro-benchmark + revised Decision 11 rationale

Hypothesis-driven measurement of "did monomorphisation actually
buy us performance?" on a 100M-iter LCG hot loop, AILang mono'd
code vs. four C reference variants (direct-inlinable, direct-
noinline, indirect-monomorphic, indirect-polymorphic). Zen 3,
clang -O2, median-of-15.

Headline: H1 supported, but the mechanism is inlining, not
dispatch shape. AILang mono = hand-C direct (1.000x). Indirect-
monomorphic = direct-noinline (1.000x) — saturating branch
predictor makes the indirect-call cost vanish on this hardware.
Inlining is the actual 3.31x win; polymorphic indirect adds
another 21% predictor-miss penalty.

DESIGN.md Decision 11 gains a rationale paragraph reframing mono
as inlining-enabler rather than indirect-call-eliminator, with
explicit pointer to the bench. JOURNAL entry records the full
methodology, ratios, limitations, and the side-effect mono-pass
env.globals-seeding bug surfaced while building the AILang fixture
(separate RED-first debug iter to follow).
This commit is contained in:
2026-05-10 01:03:21 +02:00
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#!/usr/bin/env python3
# Mono-vs-virtual-dispatch micro-bench (one-off, hypothesis-driven).
#
# Hypothesis (H1): Monomorphised class-method calls in AILang are
# measurably faster than the equivalent function-pointer-indirected
# variant on a tight hot loop.
#
# What this harness measures:
# - AILang mono'd binary at -O2 --alloc=rc on
# examples/bench_mono_dispatch.ail.json
# - Hand-C reference, three variants:
# direct-inlinable — foo() inlinable, direct call
# direct-noinline — foo() noinline, direct call
# indirect — foo() noinline, called via volatile fnptr
#
# All four binaries run the same algorithm: a 100M-iter tail-recursive
# loop accumulating `acc + foo(acc + i)` where `foo(x) = x*1103515245
# + 12345`. The loop has a serial data dependency on `acc` so clang
# cannot algebraically close-form-fold it.
#
# Ratios reported (N runs, slowest dropped, median of the rest):
#
# ail / direct-inlinable — codegen-quality gap. Should be ~1.0x
# if mono produces an equivalent IR.
# direct-noinline / direct-inlinable
# — inlining benefit when callee is
# statically known.
# indirect / direct-noinline
# — THE actual mono-vs-vdisp delta on this
# hardware when both arms deny inlining.
# ail / indirect — end-to-end win: real workload (mono'd
# AILang, where LLVM CAN inline) vs
# hypothetical fnptr-dispatched AILang.
#
# What this bench does NOT show:
# - It does not measure dictionary-passing in any literal sense —
# AILang has no dict-passing implementation. The fnptr indirection
# stands in for "dispatch through an opaque target", which is the
# load-bearing optimiser barrier any vdisp scheme imposes.
# - It does not measure RC traffic. The fixture uses Int args (no
# heap allocation), so RC is a no-op. This is intentional: we
# are measuring DISPATCH cost, not RC cost. Dictionary RC traffic
# under a hypothetical vdisp implementation would be additional
# overhead on top of what `indirect` measures here.
# - It does not exercise polymorphic call sites with multiple
# instances (megamorphic dispatch). The fnptr is monomorphic
# in the C indirect variant; a multi-instance bench would
# produce a larger indirect/direct gap due to predictor misses.
#
# Usage: bench/mono_dispatch.py [-n RUNS]
# -n RUNS number of timed runs per binary (default 7; min 3).
from __future__ import annotations
import argparse
import statistics
import subprocess
import sys
import time
from pathlib import Path
ROOT = Path(__file__).resolve().parent.parent
AIL = ROOT / "target" / "release" / "ail"
EXAMPLES = ROOT / "examples"
REFERENCE = ROOT / "bench" / "reference"
OUTDIR = ROOT / "target" / "bench_mono"
EXPECTED = "-2551317978420243992"
def time_one(bin_path: Path) -> tuple[float, str]:
"""Run binary, return (wall_seconds, stdout). Stdout captured for
correctness check (all four binaries must print the same value)."""
t0 = time.monotonic()
proc = subprocess.run([str(bin_path)], capture_output=True, text=True)
t1 = time.monotonic()
if proc.returncode != 0:
raise RuntimeError(f"{bin_path} exited {proc.returncode}: {proc.stderr}")
return (t1 - t0, proc.stdout.strip())
def median_drop_slowest(runs: list[float]) -> dict[str, float]:
if len(runs) < 2:
return {"min": runs[0], "median": runs[0], "max": runs[0]}
kept = sorted(runs)[:-1]
return {
"min": min(kept),
"median": statistics.median(kept),
"max": max(kept),
}
def main() -> int:
ap = argparse.ArgumentParser(description=__doc__)
ap.add_argument("-n", "--runs", type=int, default=7,
help="runs per binary; min 3, default 7")
args = ap.parse_args()
if args.runs < 3:
print("--runs must be >= 3", file=sys.stderr)
return 2
OUTDIR.mkdir(parents=True, exist_ok=True)
# Build AILang fixture if needed.
if not AIL.is_file():
subprocess.run(["cargo", "build", "--release", "-p", "ail"],
cwd=str(ROOT), check=True)
print(">>> building AILang fixture (-O2, --alloc=rc)", file=sys.stderr)
ail_bin = OUTDIR / "bench_mono_dispatch_ail"
subprocess.run(
[str(AIL), "build", "--opt=-O2", "--alloc=rc",
str(EXAMPLES / "bench_mono_dispatch.ail.json"), "-o", str(ail_bin)],
check=True, capture_output=True,
)
# Build the three C references.
print(">>> building C references (clang -O2)", file=sys.stderr)
# `indirect-polymorphic` produces a DIFFERENT stdout (4 distinct
# foo bodies → different acc); the harness skips the equality
# check for it but still times it.
c_specs = [
("direct-inlinable", "bench_mono_direct.c", True),
("direct-noinline", "bench_mono_direct_noinline.c", True),
("indirect", "bench_mono_indirect.c", True),
("indirect-polymorphic", "bench_mono_indirect_polymorphic.c", False),
]
c_bins: dict[str, tuple[Path, bool]] = {}
for label, src, equality_check in c_specs:
bin_path = OUTDIR / f"bench_mono_{label.replace('-', '_')}"
subprocess.run(
["clang", "-O2", "-o", str(bin_path), str(REFERENCE / src)],
check=True, capture_output=True,
)
c_bins[label] = (bin_path, equality_check)
# Equality check: ail-mono + the three monomorphic-foo C variants
# must all print the EXPECTED value. The polymorphic variant has
# different `foo` semantics → different acc; we skip the equality
# check for it.
print(">>> correctness check", file=sys.stderr)
binaries: list[tuple[str, Path, bool]] = [("ail-mono", ail_bin, True)]
binaries.extend((label, path, eq) for label, (path, eq) in c_bins.items())
for label, path, eq in binaries:
_, out = time_one(path)
if eq and out != EXPECTED:
print(f"correctness fail: {label} produced {out!r}, expected {EXPECTED!r}",
file=sys.stderr)
return 1
if not eq:
print(f" {label} stdout = {out} (equality check skipped)", file=sys.stderr)
print(f" monomorphic-foo binaries produce {EXPECTED}", file=sys.stderr)
# Time each binary RUNS times.
print(f">>> timing (runs={args.runs}, slowest dropped)", file=sys.stderr)
timings: dict[str, dict[str, float]] = {}
for label, path, _eq in binaries:
runs = [time_one(path)[0] for _ in range(args.runs)]
timings[label] = median_drop_slowest(runs)
timings[label]["raw"] = runs # full raw data for the report
# Report.
print()
print(f"=== bench_mono_dispatch ({args.runs} runs each, slowest dropped, all times in seconds) ===")
print()
print(f"{'binary':<24} {'min':>8} {'median':>8} {'max':>8} raw runs")
print("-" * 110)
for label, _, _eq in binaries:
t = timings[label]
raw_str = " ".join(f"{r:.3f}" for r in t["raw"])
print(f"{label:<24} {t['min']:8.4f} {t['median']:8.4f} {t['max']:8.4f} [{raw_str}]")
# Ratios (always median-over-median).
print()
print("=== ratios (median over median) ===")
print()
ail_med = timings["ail-mono"]["median"]
di_med = timings["direct-inlinable"]["median"]
dn_med = timings["direct-noinline"]["median"]
ind_med = timings["indirect"]["median"]
poly_med = timings["indirect-polymorphic"]["median"]
print(f" ail-mono / direct-inlinable = {ail_med / di_med:6.3f}x (codegen-quality gap)")
print(f" direct-noinline / direct-inlinable = {dn_med / di_med:6.3f}x (inlining benefit)")
print(f" indirect / direct-noinline = {ind_med / dn_med:6.3f}x (monomorphic vdisp delta)")
print(f" indirect-polymorphic / direct-noinline = {poly_med / dn_med:6.3f}x (polymorphic vdisp delta)")
print(f" indirect-polymorphic / indirect = {poly_med / ind_med:6.3f}x (predictor-miss penalty)")
print(f" ail-mono / indirect = {ail_med / ind_med:6.3f}x (end-to-end vs mono indirect)")
print(f" ail-mono / indirect-polymorphic = {ail_med / poly_med:6.3f}x (end-to-end vs poly indirect)")
print()
return 0
if __name__ == "__main__":
sys.exit(main())
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// Hand-C reference for bench_mono_dispatch — DIRECT, INLINABLE variant.
//
// Mirrors the post-monomorphisation AILang IR: a tail-recursive loop
// that calls `foo(i)` at every step. `foo` here has no `noinline`
// attribute, so clang -O2 will inline it into the loop body. This is
// the OPTIMISTIC bound on what AILang's mono pass can achieve once
// LLVM optimises the resulting IR.
//
// Workload: loop_call(N, 0) with
// acc' = acc + foo(acc + i)
// foo(x) = x * 1103515245 + 12345 (LCG-ish, prevents closed-form)
//
// N = 100_000_000.
//
// The result is data-dependent on every prior iteration, so clang
// cannot algebraically close-form-fold the loop; the wall-time is
// dominated by the body.
//
// Build: clang -O2 -o bench_mono_direct bench_mono_direct.c
#include <stdio.h>
#include <stdint.h>
static int64_t foo(int64_t x) {
return x * 1103515245 + 12345;
}
static int64_t loop_call(int64_t i, int64_t acc) {
while (i != 0) {
acc = acc + foo(acc + i);
i = i - 1;
}
return acc;
}
int main(void) {
printf("%lld\n", (long long)loop_call(100000000, 0));
return 0;
}
@@ -0,0 +1,33 @@
// Hand-C reference for bench_mono_dispatch — DIRECT, NOINLINE variant.
//
// Same as bench_mono_direct.c, but `foo` is marked `noinline` so the
// compiler must emit a real call instruction at every iteration. This
// isolates the "real call" cost when the target is statically known —
// the upper bound on what monomorphised dispatch can achieve when the
// callee body is not inlinable.
//
// Pair this with bench_mono_indirect.c (same noinline, but called via
// fnptr) to isolate "direct vs indirect call" cost on this hardware.
//
// Build: clang -O2 -o bench_mono_direct_noinline bench_mono_direct_noinline.c
#include <stdio.h>
#include <stdint.h>
static int64_t foo(int64_t x) __attribute__((noinline));
static int64_t foo(int64_t x) {
return x * 1103515245 + 12345;
}
static int64_t loop_call(int64_t i, int64_t acc) {
while (i != 0) {
acc = acc + foo(acc + i);
i = i - 1;
}
return acc;
}
int main(void) {
printf("%lld\n", (long long)loop_call(100000000, 0));
return 0;
}
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// Hand-C reference for bench_mono_dispatch — INDIRECT (fnptr) variant.
//
// Same algorithm as bench_mono_direct_noinline.c, but `foo` is reached
// through a function pointer assigned at runtime. This represents the
// "virtual dispatch" / "dictionary-passing" lower bound: the call
// target is opaque to the optimiser at compile time, so clang cannot
// inline and emits an indirect call (`callq *<reg>`).
//
// The fnptr is assigned from main via a volatile-pointer indirection
// to defeat any speculative devirtualisation clang -O2 might attempt
// (without PGO it does not devirt monomorphic-target indirect calls,
// but the volatile guard makes that explicit and stable across clang
// versions).
//
// `foo` keeps `noinline` so we measure dispatch-shape, not body size.
// The pair (direct_noinline vs indirect) isolates exactly the
// indirect-call cost on this hardware.
//
// Build: clang -O2 -o bench_mono_indirect bench_mono_indirect.c
#include <stdio.h>
#include <stdint.h>
static int64_t foo(int64_t x) __attribute__((noinline));
static int64_t foo(int64_t x) {
return x * 1103515245 + 12345;
}
typedef int64_t (*foo_fn_t)(int64_t);
static int64_t loop_call(foo_fn_t fp, int64_t i, int64_t acc) {
while (i != 0) {
acc = acc + fp(acc + i);
i = i - 1;
}
return acc;
}
int main(void) {
// Volatile barrier so the optimiser sees the target as
// dynamically-determined — it cannot prove the fnptr is
// monomorphic at the call site without PGO.
foo_fn_t volatile fp_v = &foo;
foo_fn_t fp = fp_v;
printf("%lld\n", (long long)loop_call(fp, 100000000, 0));
return 0;
}
@@ -0,0 +1,55 @@
// Hand-C reference for bench_mono_dispatch — INDIRECT POLYMORPHIC variant.
//
// Same structure as bench_mono_indirect.c, but the fnptr is selected
// per-iteration from a small array of FOUR distinct (and genuinely
// different) `foo` implementations. This models a polymorphic class
// hierarchy under hypothetical vdisp / dict-passing: the indirect
// target varies, so the branch predictor cannot lock onto a single
// destination. The four bodies are deliberately distinct (different
// constants and operations) so clang's mergefunc cannot collapse them.
//
// This is the LOWER bound on what mono offers — predictor misses on
// indirect dispatch when the call site sees more than one instance.
//
// IMPORTANT: this binary's stdout does NOT match the monomorphic
// variants — different `foo` semantics produce a different final acc.
// The harness skips the equality check for this binary; only the
// timing matters here.
//
// Build: clang -O2 -o bench_mono_indirect_polymorphic bench_mono_indirect_polymorphic.c
#include <stdio.h>
#include <stdint.h>
static int64_t foo_a(int64_t x) __attribute__((noinline));
static int64_t foo_b(int64_t x) __attribute__((noinline));
static int64_t foo_c(int64_t x) __attribute__((noinline));
static int64_t foo_d(int64_t x) __attribute__((noinline));
// Four genuinely different bodies — different constants, different
// op shapes. Same instruction count and roughly same cost so the
// "average" body cost matches the monomorphic case; what differs
// is the dispatch shape.
static int64_t foo_a(int64_t x) { return x * 1103515245 + 12345; }
static int64_t foo_b(int64_t x) { return x * 1664525 + 1013904223; }
static int64_t foo_c(int64_t x) { return x * 22695477 + 1; }
static int64_t foo_d(int64_t x) { return x * 214013 + 2531011; }
typedef int64_t (*foo_fn_t)(int64_t);
static int64_t loop_call(foo_fn_t * volatile fps, int64_t i, int64_t acc) {
while (i != 0) {
// i & 3 cycles through the 4 fnptrs every iteration.
foo_fn_t fp = fps[i & 3];
acc = acc + fp(acc + i);
i = i - 1;
}
return acc;
}
int main(void) {
foo_fn_t fps[4] = { &foo_a, &foo_b, &foo_c, &foo_d };
foo_fn_t * volatile fps_v = fps;
printf("%lld\n", (long long)loop_call(fps_v, 100000000, 0));
return 0;
}
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@@ -1606,6 +1606,23 @@ After this pass, the IR contains no class machinery — only ordinary
monomorphic functions and direct calls. Codegen sees no difference
between a hand-written `show_int` and a synthesised `show__Int`.
**Why mono, not virtual dispatch (the empirically-grounded version).**
The original rationale implicitly argued that mono saves a per-call
indirect-jump cost. The 2026-05-10 mono-vs-vdisp micro-benchmark
(`bench/mono_dispatch.py`, JOURNAL entry of the same date) refutes
that specific claim: on a saturating branch predictor with a
monomorphic indirect target, indirect dispatch is free relative to
the same-shape non-inlined direct call (1.000x on Zen 3 / clang -O2).
The correct rationale is one level up: **mono makes the call target
visible to the optimiser, unlocking inlining and downstream loop
transformations that virtual dispatch prevents in principle.** The
measured end-to-end win on a tight LCG hot loop is 3.31x vs
non-inlinable direct call and 4.00x vs polymorphic vdisp (4 distinct
targets cycling). On larger callee bodies or cold call sites the
inlining win shrinks toward zero, but the architectural claim — "mono
enables optimisations vdisp forbids" — holds across the spectrum,
while the older "saves an indirect call" framing does not.
The separator is `__` rather than `#` or `@` because `#` and `@`
are invalid in LLVM IR global identifiers (the IR verifier rejects
them inside `@ail_<module>_<def>` mangled names). `__` is legal in
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@@ -11810,3 +11810,105 @@ milestone (gated on user-author demand for primitive
bench re-baselining), the primitive-name-set consolidation, or
unrelated work. The milestone-cycle dictates `brainstorm` for
whichever lands next.
## 2026-05-10 — Bench: mono-vs-virtual-dispatch micro-benchmark
Hypothesis-driven `ailang-bencher` run, prompted by the open
question "did monomorphisation actually buy us performance, or is
it purely a correctness/architectural choice?" Decision 11's
original framing in DESIGN.md (line 1462) reads "no runtime cost,
no dictionary passing, no vtables" — a true statement at the
mechanical level, but the **rationale** for *why* mono is faster
than vdisp had never been measured. This iter measures it.
**Setup.** 100M-iter tail-recursive hot loop, body
`acc' = acc + foo(acc + i)` with `foo(x) = x*1103515245 + 12345`
(LCG step, defeats closed-form folding via serial dependency).
Int-only args → zero RC traffic, isolating dispatch-shape from
allocator effects.
Five binaries, all clang -O2 (matches AILang lower path), Zen 3
(Ryzen 5900X), 15 runs each (slowest dropped, median reported):
| binary | median (s) | ratio |
|-------------------------|------------|----------|
| AILang mono | 0.0435 | 1.000x |
| C direct (inlinable) | 0.0435 | 1.000x |
| C direct (noinline) | 0.1439 | 3.310x |
| C indirect (mono fnptr) | 0.1440 | 3.310x |
| C indirect (4-fnptr) | 0.1739 | 4.000x |
**Three substantive findings:**
1. **AILang mono'd code is bit-for-perf-identical to hand-C
direct (1.000x).** No codegen-quality gap; LLVM treats the
mono'd direct call exactly as it does a normal C call.
2. **Inlining is the actual win (3.31x).** When the callee body
is visible, clang vectorises and unrolls the loop. The
`direct-noinline` variant — same direct call, but blocked from
inlining — runs identically to the indirect-monomorphic
variant, which is the empirical core of this iter.
3. **Indirect-monomorphic dispatch is essentially free on Zen 3
(1.000x vs direct-noinline).** The branch predictor saturates
the BTB on the single target. Polymorphic indirect (4 distinct
fnptrs cycling) adds 21% on top — the real-world dict-passing
penalty in a multi-instance codebase.
**The bench refines Decision 11's rationale.** The original
framing implicitly argued that mono avoids per-call indirect-jump
cost. That argument does not hold on modern x86 with a saturating
branch predictor. The correct argument is one level up: **mono
makes the call target visible to the optimiser, which unlocks
inlining and downstream loop transformations that virtual
dispatch prevents in principle.** The 3.3x measured here is an
*upper bound* (tiny callee, hot loop, ideal-case inlining); on
larger callee bodies or cold call sites the inlining win shrinks
toward zero. But the architectural claim — "mono enables
optimisations vdisp forbids" — survives across the whole
spectrum, while the original "saves an indirect call" framing
does not.
**End-to-end win for the user on this fixture:** 3.3x vs
monomorphic vdisp, 4.0x vs polymorphic vdisp.
**Limitations (binding):**
- Synthetic micro-bench, friendliest possible case for inlining.
Real programs span the inlining-budget spectrum.
- Int-only args → zero RC traffic. Heap-typed args would
additionally cost dict-RC traffic under hypothetical vdisp;
this bench does not measure that.
- AMD Zen 3 has a strong predictor. Older x86 / ARM would show
larger indirect-vs-direct deltas on the monomorphic case.
- Single-arity, single-instance call site. A multi-instance
polymorphic call site would hit the 1.21x predictor-miss regime.
**Side effect: mono-pass `env.globals`-seeding bug surfaced.**
While building the AILang fixture, a self-recursive top-level fn
in a class-bearing module trips
`monomorphise_workspace: unknown identifier`. Root cause:
`mono::collect_mono_targets` (`crates/ailang-check/src/mono.rs`
near line 475) does not seed `env.globals` from
`env.module_globals[mname]` before calling `synth`, unlike the
working pattern in `lib.rs:1135-1139`. The bencher worked around
it by wrapping the recursive loop as a class method; a regular
non-class recursive fn in a class-bearing module fails to
compile today. RED-first debug iter follows.
**Files added:**
- `examples/bench_mono_dispatch.ail.json` — AILang side fixture
- `bench/reference/bench_mono_direct.c` — direct-inlinable C
- `bench/reference/bench_mono_direct_noinline.c` — direct-noinline C
- `bench/reference/bench_mono_indirect.c` — indirect-monomorphic C
- `bench/reference/bench_mono_indirect_polymorphic.c` — indirect-poly C
- `bench/mono_dispatch.py` — harness (median-of-15, slowest-drop)
**Action items consumed by this iter:**
- DESIGN.md Decision 11 — performance-rationale paragraph appended,
pointing at this entry and reframing mono as inlining-enabler.
**Action items spawned by this iter:**
- RED-first debug iter for the `env.globals` mono bug.
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@@ -0,0 +1,139 @@
{
"schema": "ailang/v0",
"name": "bench_mono_dispatch",
"imports": [],
"defs": [
{
"kind": "class", "name": "Foo", "param": "a",
"methods": [{
"name": "foo",
"type": {
"k": "fn", "params": [{ "k": "var", "name": "a" }],
"ret": { "k": "con", "name": "Int" }, "effects": []
}
}]
},
{
"kind": "instance",
"class": "Foo",
"type": { "k": "con", "name": "Int" },
"methods": [{
"name": "foo",
"body": {
"t": "lam",
"params": ["x"],
"paramTypes": [{ "k": "var", "name": "a" }],
"retType": { "k": "con", "name": "Int" },
"body": {
"t": "app",
"fn": { "t": "var", "name": "+" },
"args": [
{
"t": "app",
"fn": { "t": "var", "name": "*" },
"args": [
{ "t": "var", "name": "x" },
{ "t": "lit", "lit": { "kind": "int", "value": 1103515245 } }
]
},
{ "t": "lit", "lit": { "kind": "int", "value": 12345 } }
]
}
}
}]
},
{
"kind": "class", "name": "Looper", "param": "a",
"methods": [{
"name": "loop_call",
"type": {
"k": "fn", "params": [{ "k": "var", "name": "a" }, { "k": "con", "name": "Int" }],
"ret": { "k": "con", "name": "Int" }, "effects": []
}
}]
},
{
"kind": "instance",
"class": "Looper",
"type": { "k": "con", "name": "Int" },
"methods": [{
"name": "loop_call",
"body": {
"t": "lam",
"params": ["i", "acc"],
"paramTypes": [{ "k": "var", "name": "a" }, { "k": "con", "name": "Int" }],
"retType": { "k": "con", "name": "Int" },
"body": {
"t": "if",
"cond": {
"t": "app",
"fn": { "t": "var", "name": "==" },
"args": [
{ "t": "var", "name": "i" },
{ "t": "lit", "lit": { "kind": "int", "value": 0 } }
]
},
"then": { "t": "var", "name": "acc" },
"else": {
"t": "app",
"tail": true,
"fn": { "t": "var", "name": "loop_call" },
"args": [
{
"t": "app",
"fn": { "t": "var", "name": "-" },
"args": [
{ "t": "var", "name": "i" },
{ "t": "lit", "lit": { "kind": "int", "value": 1 } }
]
},
{
"t": "app",
"fn": { "t": "var", "name": "+" },
"args": [
{ "t": "var", "name": "acc" },
{
"t": "app",
"fn": { "t": "var", "name": "foo" },
"args": [
{
"t": "app",
"fn": { "t": "var", "name": "+" },
"args": [
{ "t": "var", "name": "acc" },
{ "t": "var", "name": "i" }
]
}
]
}
]
}
]
}
}
}
}]
},
{
"kind": "fn",
"name": "main",
"type": {
"k": "fn", "params": [], "ret": { "k": "con", "name": "Unit" },
"effects": ["IO"]
},
"params": [],
"body": {
"t": "do",
"op": "io/print_int",
"args": [{
"t": "app",
"fn": { "t": "var", "name": "loop_call" },
"args": [
{ "t": "lit", "lit": { "kind": "int", "value": 100000000 } },
{ "t": "lit", "lit": { "kind": "int", "value": 0 } }
]
}]
}
}
]
}