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feat: refresh benchmark coverage and harden CI tooling

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Refresh the benchmark and performance surface across the repo. This updates the benchmark wrappers and helper scripts, regenerates the checked-in benchmark and perf-contract artifacts, and folds in the related roadmap, compatibility, and example notebook changes that belong with this performance-focused pass.

Harden the Python CI and local pre-push flow so the same checks pass reliably in both places. The workflow and pre-push script now use module-safe uv typecheck invocations, the Python test environment installs the optional MCP dependency needed by the MCP server tests, and one-off root benchmark outputs are ignored to keep the repo clean.

Align local tooling with the current project configuration by updating the Ruff pre-commit hook, tightening the API typing and MCP server helpers, and refreshing the lockfile to pick up the audited PyJWT fix while preserving the rest of the staged source changes.
This commit is contained in:
Pratik Bhadane
2026-03-24 14:52:20 +05:30
parent 53566b9d82
commit 71b6343e92
48 changed files with 3107 additions and 988 deletions
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benchmarks/profile_runtime_hotspots.py
+20 -5
View File
@@ -50,11 +50,17 @@ def _naive_beta(x: np.ndarray, y: np.ndarray, window: int) -> np.ndarray:
for end in range(window, len(x)):
start = end - window
rx = np.array(
[x[idx + 1] / x[idx] - 1.0 if x[idx] != 0.0 else np.nan for idx in range(start, end)],
[
x[idx + 1] / x[idx] - 1.0 if x[idx] != 0.0 else np.nan
for idx in range(start, end)
],
dtype=np.float64,
)
ry = np.array(
[y[idx + 1] / y[idx] - 1.0 if y[idx] != 0.0 else np.nan for idx in range(start, end)],
[
y[idx + 1] / y[idx] - 1.0 if y[idx] != 0.0 else np.nan
for idx in range(start, end)
],
dtype=np.float64,
)
mean_x = float(np.sum(rx)) / window
@@ -120,7 +126,12 @@ def build_hotspot_report(
high = close + rng.uniform(0.1, 2.0, price_bars)
low = close - rng.uniform(0.1, 2.0, price_bars)
iv = rng.uniform(10.0, 40.0, iv_bars).astype(np.float64)
ohlcv = {"close": close, "high": high, "low": low, "volume": np.full(price_bars, 1000.0)}
ohlcv = {
"close": close,
"high": high,
"low": low,
"volume": np.full(price_bars, 1000.0),
}
rows = [
(
@@ -218,7 +229,9 @@ def build_hotspot_report(
results.sort(key=lambda row: row["fast_ms"], reverse=True)
total_fast_ms = sum(float(row["fast_ms"]) for row in results) or 1.0
for row in results:
row["share_of_suite_pct"] = round(float(row["fast_ms"]) / total_fast_ms * 100.0, 2)
row["share_of_suite_pct"] = round(
float(row["fast_ms"]) / total_fast_ms * 100.0, 2
)
return {
"metadata": benchmark_metadata(
@@ -249,7 +262,9 @@ def main() -> int:
window=args.window,
)
print(f"{'Category':<16} {'Case':<18} {'Fast (ms)':>10} {'Ref (ms)':>10} {'Speedup':>10}")
print(
f"{'Category':<16} {'Case':<18} {'Fast (ms)':>10} {'Ref (ms)':>10} {'Speedup':>10}"
)
print("-" * 70)
for row in payload["results"]:
print(