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refactor: deduplicate clampInt utility across convex modules #1533
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,35 @@ | ||
| import { describe, expect, it } from "vitest"; | ||
| import { clampInt } from "./math"; | ||
|
|
||
| describe("clampInt", () => { | ||
| it("clamps within range", () => { | ||
| expect(clampInt(5, 1, 10)).toBe(5); | ||
| }); | ||
|
|
||
| it("clamps below min", () => { | ||
| expect(clampInt(-3, 1, 10)).toBe(1); | ||
| }); | ||
|
|
||
| it("clamps above max", () => { | ||
| expect(clampInt(20, 1, 10)).toBe(10); | ||
| }); | ||
|
|
||
| it("truncates toward zero", () => { | ||
| expect(clampInt(3.9, 1, 10)).toBe(3); | ||
| expect(clampInt(-2.9, -5, 5)).toBe(-2); | ||
| }); | ||
|
|
||
| it("returns min for NaN", () => { | ||
| expect(clampInt(NaN, 1, 10)).toBe(1); | ||
| }); | ||
|
|
||
| it("returns min for Infinity", () => { | ||
| expect(clampInt(Infinity, 1, 10)).toBe(1); | ||
| expect(clampInt(-Infinity, 1, 10)).toBe(1); | ||
| }); | ||
|
|
||
| it("handles exact boundaries", () => { | ||
| expect(clampInt(1, 1, 10)).toBe(1); | ||
| expect(clampInt(10, 1, 10)).toBe(10); | ||
| }); | ||
| }); |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,11 @@ | ||
| /** | ||
| * Clamp a numeric value to an integer within [min, max]. | ||
| * | ||
| * Truncates toward zero (like `Math.trunc`), handles NaN / ±Infinity by | ||
| * falling back to `min`, and clamps the result to the given range. | ||
| */ | ||
| export function clampInt(value: number, min: number, max: number): number { | ||
| const truncated = Math.trunc(value); | ||
| if (!Number.isFinite(truncated)) return min; | ||
| return Math.min(max, Math.max(min, truncated)); | ||
| } | ||
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Math.round→Math.truncbehavior change for skills.ts and souls.tsThe old
clampIntinconvex/skills.tsandconvex/souls.tsusedMath.round, so a float like3.9would produce4;Math.trunc(3.9)returns3. All call sites in those two files are pagination limits (args.limit,args.numItems) backed byv.optional(v.number())validators — meaning any float is a valid input. A caller passinglimit: 5.9previously received up to 6 results and will now receive 5. Please confirm the switch toMath.truncis intentional for these modules, or restore rounding at the affected call sites.Prompt To Fix With AI