1 files changed, 38 insertions, 38 deletions

diff --git a/packages/throughput-store/src/aggregate.test.ts b/packages/throughput-store/src/aggregate.test.ts
index 27b800c..a712c8f 100644
--- a/packages/throughput-store/src/aggregate.test.ts
+++ b/packages/throughput-store/src/aggregate.test.ts
@@ -2,49 +2,49 @@ import { describe, expect, it } from "vitest";
 import { aggregateSamples, type ThroughputSample } from "./aggregate.js";
 
 const S = (model: string, ts: number, outputTokens: number, genMs: number): ThroughputSample => ({
-	model,
-	ts,
-	outputTokens,
-	genMs,
+  model,
+  ts,
+  outputTokens,
+  genMs,
 });
 
 describe("aggregateSamples", () => {
-	it("token-weights tok/s (Σtokens / Σgen-seconds), so large turns dominate", () => {
-		const samples = [
-			S("claude/haiku", 100, 1000, 10_000), // 100 tok/s, big turn
-			S("claude/haiku", 200, 10, 1000), // 10 tok/s, small turn
-		];
-		const [row] = aggregateSamples(samples, 0, 1000);
-		expect(row?.model).toBe("claude/haiku");
-		// 1010 tokens / 11 s = 91.82, NOT the simple mean (55)
-		expect(row?.tokensPerSecond).toBeCloseTo(91.82, 1);
-		expect(row?.totalOutputTokens).toBe(1010);
-		expect(row?.totalGenMs).toBe(11_000);
-		expect(row?.turns).toBe(2);
-	});
+  it("token-weights tok/s (Σtokens / Σgen-seconds), so large turns dominate", () => {
+    const samples = [
+      S("claude/haiku", 100, 1000, 10_000), // 100 tok/s, big turn
+      S("claude/haiku", 200, 10, 1000), // 10 tok/s, small turn
+    ];
+    const [row] = aggregateSamples(samples, 0, 1000);
+    expect(row?.model).toBe("claude/haiku");
+    // 1010 tokens / 11 s = 91.82, NOT the simple mean (55)
+    expect(row?.tokensPerSecond).toBeCloseTo(91.82, 1);
+    expect(row?.totalOutputTokens).toBe(1010);
+    expect(row?.totalGenMs).toBe(11_000);
+    expect(row?.turns).toBe(2);
+  });
 
-	it("excludes samples outside the [start, end) range", () => {
-		const samples = [S("m", 50, 100, 1000), S("m", 500, 100, 1000), S("m", 1500, 999, 1000)];
-		const [row] = aggregateSamples(samples, 100, 1000);
-		expect(row?.turns).toBe(1); // only ts=500 is in [100, 1000)
-		expect(row?.totalOutputTokens).toBe(100);
-	});
+  it("excludes samples outside the [start, end) range", () => {
+    const samples = [S("m", 50, 100, 1000), S("m", 500, 100, 1000), S("m", 1500, 999, 1000)];
+    const [row] = aggregateSamples(samples, 100, 1000);
+    expect(row?.turns).toBe(1); // only ts=500 is in [100, 1000)
+    expect(row?.totalOutputTokens).toBe(100);
+  });
 
-	it("groups by model and sorts by tok/s descending", () => {
-		const samples = [
-			S("slow", 10, 50, 5000), // 10 tok/s
-			S("fast", 10, 500, 1000), // 500 tok/s
-		];
-		const rows = aggregateSamples(samples, 0, 100);
-		expect(rows.map((r) => r.model)).toEqual(["fast", "slow"]);
-	});
+  it("groups by model and sorts by tok/s descending", () => {
+    const samples = [
+      S("slow", 10, 50, 5000), // 10 tok/s
+      S("fast", 10, 500, 1000), // 500 tok/s
+    ];
+    const rows = aggregateSamples(samples, 0, 100);
+    expect(rows.map((r) => r.model)).toEqual(["fast", "slow"]);
+  });
 
-	it("reports 0 tok/s when generation time is 0 (avoids divide-by-zero)", () => {
-		const [row] = aggregateSamples([S("m", 10, 100, 0)], 0, 100);
-		expect(row?.tokensPerSecond).toBe(0);
-	});
+  it("reports 0 tok/s when generation time is 0 (avoids divide-by-zero)", () => {
+    const [row] = aggregateSamples([S("m", 10, 100, 0)], 0, 100);
+    expect(row?.tokensPerSecond).toBe(0);
+  });
 
-	it("returns an empty list when no samples match", () => {
-		expect(aggregateSamples([], 0, 100)).toEqual([]);
-	});
+  it("returns an empty list when no samples match", () => {
+    expect(aggregateSamples([], 0, 100)).toEqual([]);
+  });
 });