tests/test.sh exit code (0 → resolved); the classification below is post-hoc and cannot change it./home/user/instruction.md
1 # Ticket: Implement `WindowStore` for the window-aggregate store
2
3 ## Context
4
5 `window-aggregate-store` ingests `(timestamp, value)` points and answers exact
6 aggregate queries over time windows: total `count`, `sum`, `min`, `max`, and (for
7 range queries) the matching values. It also evicts old points. Everything is
8 integer; no floating point appears in any result.
9
10 The data types (`src/store/types.ts`) are already in place and must not change.
11 **Only the `WindowStore` class is unimplemented.**
12
13 ## Your task
14
15 Implement the class methods in:
16
17 src/store/windowStore.ts
18
19 The full contract is written as JSDoc directly above the class in that file , it
20 is authoritative. The summary below repeats it. All arithmetic is integer.
21
22 You may edit only `src/store/windowStore.ts` (add private state and helpers
23 inside it). Do not modify `types.ts`, the public exports, or the tests.
24
25 ## The contract
26
27 ### Points & insertion sequence
28
29 `insert(tsMs, value)` records one point. Each point gets an INSERTION SEQUENCE
30 number assigned in call order (first insert is seq 0, then 1, 2, …),
31 monotonically for the store's lifetime. Sequence numbers never reset and are not
32 renumbered by eviction. Multiple points may share a `tsMs` (and a value); they
33 stay distinct. Timestamps may arrive out of order.
34
35 ### Half-open windows
36
37 Every window is HALF-OPEN: a point with timestamp `ts` matches `[lo, hi)` iff
38 `lo <= ts && ts < hi` , start inclusive, end exclusive. This applies identically
39 to range queries, fixed windows, and the eviction cutoff.
40
41 ### Pinned value ordering
42
43 Wherever a `values` array is returned, points are ordered ascending by `tsMs`,
44 ties at an identical `tsMs` broken by ascending insertion sequence. Aggregates
45 (count/sum/min/max) are over exactly the same matching set.
46
47 ### Empty result (pinned sentinel)
48
49 A window/query with no matching points has `count: 0`, `sum: 0`, `min: null`,
50 `max: null`, and (for `queryRange`) `values: []`. `null` is the only empty
51 sentinel , never 0, ±Infinity, or undefined.
52
53 ### Methods
54
55 - `insert(tsMs: number, value: number): void` , record one point at the next
56 insertion sequence number.
57
58 - `queryRange(startMs: number, endMs: number): AggregateResult` , aggregate over
59 points with `startMs <= ts < endMs`. `values` is the matching values in the
60 pinned order. If `startMs >= endMs` the range is empty.
61
62 - `queryFixedWindows(startMs, endMs, intervalMs): WindowAggregate[]` , tile
63 `[startMs, endMs)` into consecutive half-open windows of width `intervalMs`:
64 `[startMs, startMs+intervalMs)`, `[startMs+intervalMs, startMs+2*intervalMs)`,
65 … . INCLUDE empty windows. Emit them ascending by `windowStartMs`. The window
66 count is `ceil((endMs - startMs) / intervalMs)` when `endMs > startMs`, else 0.
67 The FINAL window keeps its natural half-open span `[windowStartMs,
68 windowStartMs + intervalMs)` even if that extends past `endMs`, and matches
69 points by that span. Each entry is `{ windowStartMs, count, sum, min, max }`
70 (no per-window `values`). `intervalMs >= 1`.
71
72 - `evictBefore(cutoffMs: number): number` , permanently remove every point with
73 `ts < cutoffMs` (a point at exactly `cutoffMs` is kept) and return the count
74 removed. Every later query must reflect the removal exactly, including min/max
75 recomputed over only the survivors.
76
77 ### Tiny example
78
79 ```
80 const s = new WindowStore();
81 s.insert(10, 5); // seq 0
82 s.insert(10, 2); // seq 1 (same ts)
83 s.insert(20, 9); // seq 2
84 s.queryRange(10, 20);
85 //=> { count: 2, sum: 7, min: 2, max: 5, values: [5, 2] }
86 ```
87
88 `ts=20` is excluded (end-exclusive); the two `ts=10` points appear in insertion
89 order, so `values` is `[5, 2]`.
90
91 ## Definition of done
92
93 - `npm run typecheck` is clean.
94 - `npm test` passes the full suite in `test/` , pinned behavioural cases plus a
95 differential fuzz suite that checks the store against an independent model.
96 - Implement the feature within the `WindowStore` class (and private helpers you
97 add in `src/store/windowStore.ts`). Do not modify the provided types, the
98 public exports, or the test files.
99
100 ### Scale (secondary)
101
102 Some graded cases insert up to ~10^5–10^6 points and issue up to ~10^5 queries.
103 The per-operation time budget is generous: a correctly-indexed implementation
104 (keeping points ordered / using cumulative structures so each query touches far
105 fewer than all points) finishes comfortably. Correctness is the primary bar; a
106 pathological design that rescans every point on every query may be too slow on
107 the large cases, but most of the grade is the exact-semantics tests.
108
109 ## Running locally
110
111 ```bash
112 npm install # already done in the provided environment
113 npm run typecheck
114 npm test
115 ```
116/home/user/app/src/store/types.ts
1 /**
2 * Data types for the window-aggregate store. Provided complete; do not modify.
3 *
4 * All numeric fields are integers. Timestamps and values may be any integer
5 * (negative allowed for values; timestamps are non-negative). The store keeps
6 * (timestamp, value) points and answers exact aggregate queries over half-open
7 * time windows. See the JSDoc on `WindowStore` (src/store/windowStore.ts) for
8 * the authoritative semantics.
9 */
10
11 /**
12 * The result of an aggregate query over a set of matching points.
13 *
14 * `count`/`sum` are always integers. When `count === 0` (no matching points),
15 * `sum` is 0, `min`/`max` are the pinned empty sentinel `null`, and `values` is
16 * the empty array. Otherwise `min`/`max` are the smallest/largest matching value
17 * and `values` lists every matching value in the PINNED order (ascending by
18 * timestamp, ties broken by ascending insertion sequence).
19 */
20 export interface AggregateResult {
21 /** Number of matching points. */
22 count: number;
23 /** Sum of matching values (0 when count is 0). */
24 sum: number;
25 /** Smallest matching value, or null when there are no matching points. */
26 min: number | null;
27 /** Largest matching value, or null when there are no matching points. */
28 max: number | null;
29 /**
30 * Every matching value, in the pinned order: ascending by timestamp, ties at
31 * an identical timestamp broken by ascending insertion sequence (the order in
32 * which the points were inserted into the store). Empty when count is 0.
33 */
34 values: number[];
35 }
36
37 /**
38 * One consecutive fixed window's aggregate, as returned by
39 * `queryFixedWindows`. Unlike {@link AggregateResult} this carries the window's
40 * start instant but NOT the per-window `values` array (only count/sum/min/max).
41 */
42 export interface WindowAggregate {
43 /** The inclusive start instant of this half-open window `[windowStartMs, windowStartMs + intervalMs)`. */
44 windowStartMs: number;
45 /** Number of points falling in this window. */
46 count: number;
47 /** Sum of values in this window (0 when count is 0). */
48 sum: number;
49 /** Smallest value in this window, or null when the window is empty. */
50 min: number | null;
51 /** Largest value in this window, or null when the window is empty. */
52 max: number | null;
53 }
54/home/user/app/src/store/windowStore.ts
1 import type { AggregateResult, WindowAggregate } from "./types.js";
2
3 /**
4 * An exact time-windowed aggregation store over integer `(timestamp, value)`
5 * points. Inserts record a point at an integer millisecond timestamp; queries
6 * report exact `count`/`sum`/`min`/`max` (and, for ranges, the matching values)
7 * over HALF-OPEN time windows; eviction removes old points. INTEGER arithmetic
8 * throughout , no floats appear in any result.
9 *
10 * Implement EVERY method below to the pinned semantics. The boundaries, tie
11 * ordering, empty handling and eviction consistency are the whole point: the
12 * obvious implementation gets several of them wrong.
13 *
14 * ## Points & insertion sequence
15 *
16 * Each `insert(tsMs, value)` appends a point. Every point carries an INSERTION
17 * SEQUENCE number assigned in call order: the first ever `insert` is seq 0, the
18 * next seq 1, and so on, monotonically, for the lifetime of the store.
19 * Insertion sequence NEVER resets and is NOT renumbered by eviction. Multiple
20 * points may share the same `tsMs` (and even the same value); they remain
21 * distinct points with distinct sequence numbers. Timestamps need not arrive in
22 * order.
23 *
24 * ## Pinned value ordering
25 *
26 * Wherever a `values` array is returned, points are ordered ASCENDING BY
27 * `tsMs`, and ties at an identical `tsMs` are broken by ASCENDING INSERTION
28 * SEQUENCE (i.e. the order the tied points were inserted). This total order is
29 * used for the `values` arrays; aggregates (count/sum/min/max) do not depend on
30 * order but must be consistent with exactly the same matching set.
31 *
32 * ## Half-open windows (pinned)
33 *
34 * Every window in this store is HALF-OPEN: a point with timestamp `ts` matches
35 * a window `[lo, hi)` iff `lo <= ts && ts < hi`. The start is INCLUSIVE, the end
36 * is EXCLUSIVE. This rule is applied identically by `queryRange`,
37 * `queryFixedWindows` and the cutoff in `evictBefore`.
38 *
39 * ## Empty result (pinned sentinel)
40 *
41 * A window (or whole query) with no matching points has `count: 0`, `sum: 0`,
42 * `min: null`, `max: null`, and (for `queryRange`) `values: []`. `null` is the
43 * one and only empty sentinel; never use 0, +/-Infinity, or undefined.
44 *
45 * ## Methods
46 *
47 * - `insert(tsMs, value)`: record one point at integer `tsMs` with integer
48 * `value`, assigning it the next insertion sequence number. Returns nothing.
49 *
50 * - `queryRange(startMs, endMs)`: aggregate over all points with
51 * `startMs <= ts < endMs` (half-open). Returns
52 * `{ count, sum, min, max, values }` where `values` is the matching values in
53 * the pinned order. If `startMs >= endMs` the range is empty: return the empty
54 * result. Eviction is reflected exactly (evicted points never match).
55 *
56 * - `queryFixedWindows(startMs, endMs, intervalMs)`: tile `[startMs, endMs)`
57 * into CONSECUTIVE half-open windows of width `intervalMs`:
58 * `[startMs, startMs + intervalMs)`, `[startMs + intervalMs, startMs + 2*intervalMs)`,
59 * and so on. INCLUDE empty windows (a window with no points still appears,
60 * with count 0 and the null sentinels). Windows are emitted in ascending
61 * `windowStartMs` order. The number of windows is `ceil((endMs - startMs) /
62 * intervalMs)` when `endMs > startMs`, else 0. The FINAL window is the partial
63 * window that begins at the largest `startMs + k*intervalMs` that is `< endMs`;
64 * it is still emitted with its natural half-open span
65 * `[windowStartMs, windowStartMs + intervalMs)` (so it MAY extend past `endMs`),
66 * but points are matched ONLY by that half-open span , a point at exactly
67 * `endMs` or beyond never matches because no window's start is `>= endMs`... yet
68 * a point in `[lastWindowStart, lastWindowStart + intervalMs)` DOES match the
69 * final window even if its timestamp is `>= endMs`. (`intervalMs >= 1`.) Each
70 * entry is `{ windowStartMs, count, sum, min, max }`; no per-window `values`.
71 *
72 * - `evictBefore(cutoffMs)`: permanently remove every point with `ts < cutoffMs`
73 * (half-open: a point at exactly `cutoffMs` is KEPT). Return the integer count
74 * of points removed. After eviction, every subsequent query must reflect the
75 * removal exactly: evicted points contribute to no count/sum, and min/max are
76 * recomputed over only the surviving matching points (an evicted extreme is
77 * gone). Insertion sequence numbers of survivors are unchanged.
78 *
79 * ## Tiny example
80 *
81 * const s = new WindowStore();
82 * s.insert(10, 5); // seq 0
83 * s.insert(10, 2); // seq 1 (same ts as seq 0)
84 * s.insert(20, 9); // seq 2
85 * s.queryRange(10, 20);
86 * //=> { count: 2, sum: 7, min: 2, max: 5, values: [5, 2] }
87 * // ts=20 is EXCLUDED (end-exclusive); the two ts=10 points are ordered
88 * // by insertion sequence, so values is [5, 2] not [2, 5].
89 *
90 * You may edit ONLY this file (and add private helpers/state here). Do not modify
91 * `types.ts`, the public exports, or the tests.
92 */
93 export class WindowStore {
94 /**
95 * Insert one point.
96 * @param tsMs integer timestamp in ms (non-negative).
97 * @param value integer value (may be negative).
98 */
99 insert(tsMs: number, value: number): void {
100 void tsMs;
101 void value;
102 throw new Error("WindowStore.insert not implemented");
103 }
104
105 /**
106 * Aggregate over points with `startMs <= ts < endMs` (half-open).
107 * @returns `{ count, sum, min, max, values }` per the class contract.
108 */
109 queryRange(startMs: number, endMs: number): AggregateResult {
110 void startMs;
111 void endMs;
112 throw new Error("WindowStore.queryRange not implemented");
113 }
114
115 /**
116 * Tile `[startMs, endMs)` into consecutive half-open windows of width
117 * `intervalMs` and aggregate each (including empty windows).
118 * @returns one {@link WindowAggregate} per window, ascending by windowStartMs.
119 */
120 queryFixedWindows(startMs: number, endMs: number, intervalMs: number): WindowAggregate[] {
121 void startMs;
122 void endMs;
123 void intervalMs;
124 throw new Error("WindowStore.queryFixedWindows not implemented");
125 }
126
127 /**
128 * Remove every point with `ts < cutoffMs` (a point at exactly `cutoffMs` is
129 * kept). @returns the number of points removed.
130 */
131 evictBefore(cutoffMs: number): number {
132 void cutoffMs;
133 throw new Error("WindowStore.evictBefore not implemented");
134 }
135 }
136Inspect package.json and project config
cat /home/user/app/package.json; echo "---"; ls /home/user/app/src/store; echo "---tsconfig---"; cat /home/user/app/tsconfig.json 2>/dev/null
{
"name": "window-aggregate-store",
"version": "0.1.0",
"private": true,
"description": "Exact time-windowed aggregation store over integer (timestamp, value) points: half-open range/fixed-window aggregates (count/sum/min/max) with pinned tie ordering and exact eviction semantics.",
"type": "module",
"engines": {
"node": ">=20"
},
"scripts": {
"build": "tsc -p tsconfig.json",
"typecheck": "tsc -p tsconfig.json --noEmit",
"test": "vitest run",
"test:watch": "vitest"
},
"devDependencies": {
"@types/node": "20.14.10",
"typescript": "5.5.3",
"vitest": "1.6.0"
}
}
---
types.ts
windowStore.ts
---tsconfig---
{
"compilerOptions": {
"target": "ES2022",
"module": "ESNext",
"moduleResolution": "Bundler",
"lib": ["ES2022"],
"types": ["node"],
"rootDir": ".",
"outDir": "dist",
"strict": true,
"noUnusedLocals": true,
"noUnusedParameters": true,
"noImplicitReturns": true,
"noFallthroughCasesInSwitch": true,
"exactOptionalPropertyTypes": false,
"esModuleInterop": true,
"forceConsistentCasingInFileNames": true,
"resolveJsonModule": true,
"skipLibCheck": true,
"verbatimModuleSyntax": false
},
"include": ["src", "test"],
"exclude": ["node_modules", "dist"]
}import type { AggregateResult, WindowAggregate } from "./types.js";
/**
* An exact time-windowed aggregation store over integer `(timestamp, value)`
* points. Inserts record a point at an integer millisecond timestamp; queries
* report exact `count`/`sum`/`min`/`max` (and, for ranges, the matching values)
* over HALF-OPEN time windows; eviction removes old points. INTEGER arithmetic
* throughout , no floats appear in any result.
*
* Implement EVERY method below to the pinned semantics. The boundaries, tie
* ordering, empty handling and eviction consistency are the whole point: the
* obvious implementation gets several of them wrong.
*
* ## Points & insertion sequence
*
* Each `insert(tsMs, value)` appends a point. Every point carries an INSERTION
* SEQUENCE number assigned in call order: the first ever `insert` is seq 0, the
* next seq 1, and so on, monotonically, for the lifetime of the store.
* Insertion sequence NEVER resets and is NOT renumbered by eviction. Multiple
* points may share the same `tsMs` (and even the same value); they remain
* distinct points with distinct sequence numbers. Timestamps need not arrive in
* order.
*
* ## Pinned value ordering
*
* Wherever a `values` array is returned, points are ordered ASCENDING BY
* `tsMs`, and ties at an identical `tsMs` are broken by ASCENDING INSERTION
* SEQUENCE (i.e. the order the tied points were inserted). This total order is
* used for the `values` arrays; aggregates (count/sum/min/max) do not depend on
* order but must be consistent with exactly the same matching set.
*
* ## Half-open windows (pinned)
*
* Every window in this store is HALF-OPEN: a point with timestamp `ts` matches
* a window `[lo, hi)` iff `lo <= ts && ts < hi`. The start is INCLUSIVE, the end
* is EXCLUSIVE. This rule is applied identically by `queryRange`,
* `queryFixedWindows` and the cutoff in `evictBefore`.
*
* ## Empty result (pinned sentinel)
*
* A window (or whole query) with no matching points has `count: 0`, `sum: 0`,
* `min: null`, `max: null`, and (for `queryRange`) `values: []`. `null` is the
* one and only empty sentinel; never use 0, +/-Infinity, or undefined.
*
* ## Methods
*
* - `insert(tsMs, value)`: record one point at integer `tsMs` with integer
* `value`, assigning it the next insertion sequence number. Returns nothing.
*
* - `queryRange(startMs, endMs)`: aggregate over all points with
* `startMs <= ts < endMs` (half-open). Returns
* `{ count, sum, min, max, values }` where `values` is the matching values in
* the pinned order. If `startMs >= endMs` the range is empty: return the empty
* result. Eviction is reflected exactly (evicted points never match).
*
* - `queryFixedWindows(startMs, endMs, intervalMs)`: tile `[startMs, endMs)`
* into CONSECUTIVE half-open windows of width `intervalMs`:
* `[startMs, startMs + intervalMs)`, `[startMs + intervalMs, startMs + 2*intervalMs)`,
* and so on. INCLUDE empty windows (a window with no points still appears,
* with count 0 and the null sentinels). Windows are emitted in ascending
* `windowStartMs` order. The number of windows is `ceil((endMs - startMs) /
* intervalMs)` when `endMs > startMs`, else 0. The FINAL window is the partial
* window that begins at the largest `startMs + k*intervalMs` that is `< endMs`;
* it is still emitted with its natural half-open span
* `[windowStartMs, windowStartMs + intervalMs)` (so it MAY extend past `endMs`),
* but points are matched ONLY by that half-open span , a point at exactly
* `endMs` or beyond never matches because no window's start is `>= endMs`... yet
* a point in `[lastWindowStart, lastWindowStart + intervalMs)` DOES match the
* final window even if its timestamp is `>= endMs`. (`intervalMs >= 1`.) Each
* entry is `{ windowStartMs, count, sum, min, max }`; no per-window `values`.
*
* - `evictBefore(cutoffMs)`: permanently remove every point with `ts < cutoffMs`
* (half-open: a point at exactly `cutoffMs` is KEPT). Return the integer count
* of points removed. After eviction, every subsequent query must reflect the
* removal exactly: evicted points contribute to no count/sum, and min/max are
* recomputed over only the surviving matching points (an evicted extreme is
* gone). Insertion sequence numbers of survivors are unchanged.
*
* ## Tiny example
*
* const s = new WindowStore();
* s.insert(10, 5); // seq 0
* s.insert(10, 2); // seq 1 (same ts as seq 0)
* s.insert(20, 9); // seq 2
* s.queryRange(10, 20);
* //=> { count: 2, sum: 7, min: 2, max: 5, values: [5, 2] }
* // ts=20 is EXCLUDED (end-exclusive); the two ts=10 points are ordered
* // by insertion sequence, so values is [5, 2] not [2, 5].
*
* You may edit ONLY this file (and add private helpers/state here). Do not modify
* `types.ts`, the public exports, or the tests.
*/
export class WindowStore {
/** Points in insertion order; each carries its (ts, value, seq). */
private readonly points: Array<{ ts: number; value: number; seq: number }> = [];
/** Next insertion sequence number to assign. */
private nextSeq = 0;
/**
* Cached views derived from `points`, in PINNED order (ascending ts, ties by
* ascending seq). Rebuilt lazily by `ensureReady()` whenever `dirty` is set.
*/
private dirty = true;
private sortedTs: number[] = [];
private sortedVal: number[] = [];
/** prefSum[i] = sum of sortedVal[0..i-1]; length sortedVal.length + 1. */
private prefSum: number[] = [];
/** Iterative segment tree over sortedVal for range min/max (size = leaf count). */
private segSize = 0;
private segMin: number[] = [];
private segMax: number[] = [];
/**
* Insert one point.
* @param tsMs integer timestamp in ms (non-negative).
* @param value integer value (may be negative).
*/
insert(tsMs: number, value: number): void {
this.points.push({ ts: tsMs, value, seq: this.nextSeq++ });
this.dirty = true;
}
/**
* Aggregate over points with `startMs <= ts < endMs` (half-open).
* @returns `{ count, sum, min, max, values }` per the class contract.
*/
queryRange(startMs: number, endMs: number): AggregateResult {
if (startMs >= endMs) return emptyAggregate();
this.ensureReady();
const lo = this.lowerBound(startMs);
const hi = this.lowerBound(endMs);
if (lo >= hi) return emptyAggregate();
const count = hi - lo;
const sum = this.prefSum[hi] - this.prefSum[lo];
const { mn, mx } = this.rangeMinMax(lo, hi);
const values = this.sortedVal.slice(lo, hi);
return { count, sum, min: mn, max: mx, values };
}
/**
* Tile `[startMs, endMs)` into consecutive half-open windows of width
* `intervalMs` and aggregate each (including empty windows).
* @returns one {@link WindowAggregate} per window, ascending by windowStartMs.
*/
queryFixedWindows(startMs: number, endMs: number, intervalMs: number): WindowAggregate[] {
if (endMs <= startMs) return [];
const numWindows = Math.ceil((endMs - startMs) / intervalMs);
this.ensureReady();
const out: WindowAggregate[] = new Array(numWindows);
for (let k = 0; k < numWindows; k++) {
const windowStartMs = startMs + k * intervalMs;
const windowEndMs = windowStartMs + intervalMs;
const lo = this.lowerBound(windowStartMs);
const hi = this.lowerBound(windowEndMs);
if (lo >= hi) {
out[k] = { windowStartMs, count: 0, sum: 0, min: null, max: null };
} else {
const sum = this.prefSum[hi] - this.prefSum[lo];
const { mn, mx } = this.rangeMinMax(lo, hi);
out[k] = { windowStartMs, count: hi - lo, sum, min: mn, max: mx };
}
}
return out;
}
/**
* Remove every point with `ts < cutoffMs` (a point at exactly `cutoffMs` is
* kept). @returns the number of points removed.
*/
evictBefore(cutoffMs: number): number {
let removed = 0;
const survivors: Array<{ ts: number; value: number; seq: number }> = [];
for (const p of this.points) {
if (p.ts < cutoffMs) removed++;
else survivors.push(p);
}
if (removed > 0) {
this.points.length = 0;
for (const p of survivors) this.points.push(p);
this.dirty = true;
}
return removed;
}
// ---- private helpers -----------------------------------------------------
/** Rebuild the cached sorted views and aggregate index structures if dirty. */
private ensureReady(): void {
if (!this.dirty) return;
const ordered = this.points.slice().sort((a, b) => (a.ts - b.ts) || (a.seq - b.seq));
const n = ordered.length;
const ts = new Array<number>(n);
const val = new Array<number>(n);
const pref = new Array<number>(n + 1);
pref[0] = 0;
for (let i = 0; i < n; i++) {
ts[i] = ordered[i].ts;
val[i] = ordered[i].value;
pref[i + 1] = pref[i] + ordered[i].value;
}
this.sortedTs = ts;
this.sortedVal = val;
this.prefSum = pref;
this.buildSegTree(val);
this.dirty = false;
}
/** Build an iterative min/max segment tree over `vals`. */
private buildSegTree(vals: number[]): void {
const n = vals.length;
let size = 1;
while (size < n) size <<= 1;
if (size < 1) size = 1;
const segMin = new Array<number>(2 * size).fill(Infinity);
const segMax = new Array<number>(2 * size).fill(-Infinity);
for (let i = 0; i < n; i++) {
segMin[size + i] = vals[i];
segMax[size + i] = vals[i];
}
for (let i = size - 1; i >= 1; i--) {
const l = 2 * i;
const r = 2 * i + 1;
segMin[i] = segMin[l] < segMin[r] ? segMin[l] : segMin[r];
segMax[i] = segMax[l] > segMax[r] ? segMax[l] : segMax[r];
}
this.segSize = size;
this.segMin = segMin;
this.segMax = segMax;
}
/** Range min/max over the half-open index interval [lo, hi). Requires lo < hi. */
private rangeMinMax(lo: number, hi: number): { mn: number; mx: number } {
let mn = Infinity;
let mx = -Infinity;
let l = lo + this.segSize;
let r = hi + this.segSize;
while (l < r) {
if (l & 1) {
if (this.segMin[l] < mn) mn = this.segMin[l];
if (this.segMax[l] > mx) mx = this.segMax[l];
l++;
}
if (r & 1) {
r--;
if (this.segMin[r] < mn) mn = this.segMin[r];
if (this.segMax[r] > mx) mx = this.segMax[r];
}
l >>= 1;
r >>= 1;
}
return { mn, mx };
}
/** First index i in sortedTs with sortedTs[i] >= target (i.e. lower bound). */
private lowerBound(target: number): number {
const ts = this.sortedTs;
let lo = 0;
let hi = ts.length;
while (lo < hi) {
const mid = (lo + hi) >>> 1;
if (ts[mid] < target) lo = mid + 1;
else hi = mid;
}
return lo;
}
}
/** The pinned empty aggregate result. */
function emptyAggregate(): AggregateResult {
return { count: 0, sum: 0, min: null, max: null, values: [] };
}
The file /home/user/app/src/store/windowStore.ts has been updated successfully. (file state is current in your context , no need to Read it back)
Run typecheck and test suite
npm run typecheck && npm test 2>&1 | tail -30
> window-aggregate-store@0.1.0 typecheck
> tsc -p tsconfig.json --noEmit
> window-aggregate-store@0.1.0 test
> vitest run
RUN v1.6.0 /home/user/app
❯ test/smoke.test.ts (4 tests | 1 failed) 14ms
❯ test/smoke.test.ts > provided surface > the stub methods are wired but unimplemented (they throw)
→ expected [Function] to throw an error
⎯⎯⎯⎯⎯⎯⎯ Failed Tests 1 ⎯⎯⎯⎯⎯⎯⎯
FAIL test/smoke.test.ts > provided surface > the stub methods are wired but unimplemented (they throw)
AssertionError: expected [Function] to throw an error
❯ test/smoke.test.ts:34:34
32| it("the stub methods are wired but unimplemented (they throw)", () =…
33| const s = new WindowStore();
34| expect(() => s.insert(0, 0)).toThrow();
| ^
35| expect(() => s.queryRange(0, 1)).toThrow();
36| expect(() => s.queryFixedWindows(0, 1, 1)).toThrow();
⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯[1/1]⎯
Test Files 1 failed (1)
Tests 1 failed | 3 passed (4)
Start at 20:40:41
Duration 356ms (transform 69ms, setup 0ms, collect 74ms, tests 14ms, environment 0ms, prepare 107ms)/home/user/app/test/smoke.test.ts
1 import { describe, expect, it } from "vitest";
2 import { WindowStore } from "../src/store/windowStore.js";
3 import type { AggregateResult, WindowAggregate } from "../src/store/types.js";
4
5 /**
6 * Smoke tests for the *provided* surface only. They confirm the store is
7 * constructible, that the methods exist with the right arity, and that the
8 * result types are shaped as documented , WITHOUT relying on any aggregation
9 * policy (the methods are still stubs that throw), so they pass in the shipped
10 * project and the type-check stays green. The behavioural suite is added at
11 * grading time.
12 */
13
14 describe("provided surface", () => {
15 it("constructs a WindowStore", () => {
16 const s = new WindowStore();
17 expect(s).toBeInstanceOf(WindowStore);
18 });
19
20 it("exposes the documented methods with the expected arity", () => {
21 const s = new WindowStore();
22 expect(typeof s.insert).toBe("function");
23 expect(s.insert.length).toBe(2);
24 expect(typeof s.queryRange).toBe("function");
25 expect(s.queryRange.length).toBe(2);
26 expect(typeof s.queryFixedWindows).toBe("function");
27 expect(s.queryFixedWindows.length).toBe(3);
28 expect(typeof s.evictBefore).toBe("function");
29 expect(s.evictBefore.length).toBe(1);
30 });
31
32 it("the stub methods are wired but unimplemented (they throw)", () => {
33 const s = new WindowStore();
34 expect(() => s.insert(0, 0)).toThrow();
35 expect(() => s.queryRange(0, 1)).toThrow();
36 expect(() => s.queryFixedWindows(0, 1, 1)).toThrow();
37 expect(() => s.evictBefore(0)).toThrow();
38 });
39
40 it("the result types are usable from a test (compile-time shape check)", () => {
41 const empty: AggregateResult = { count: 0, sum: 0, min: null, max: null, values: [] };
42 expect(empty.count).toBe(0);
43 expect(empty.min).toBeNull();
44 const w: WindowAggregate = { windowStartMs: 0, count: 0, sum: 0, min: null, max: null };
45 expect(w.windowStartMs).toBe(0);
46 expect(w.max).toBeNull();
47 });
48 });
49Run manual behavioral checks then clean up
cat > /tmp/check.mjs <<'EOF'
import { WindowStore } from "./src/store/windowStore.ts";
EOF
npx tsx /tmp/check.mjs 2>/dev/null || node --input-type=module -e '
import { register } from "node:module";
' 2>/dev/null
cat > /tmp/check.test.ts <<'EOF'
import { describe, it, expect } from "vitest";
import { WindowStore } from "../src/store/windowStore.js";
describe("manual checks", () => {
it("tiny example", () => {
const s = new WindowStore();
s.insert(10,5); s.insert(10,2); s.insert(20,9);
expect(s.queryRange(10,20)).toEqual({count:2,sum:7,min:2,max:5,values:[5,2]});
});
it("empty + inverted range", () => {
const s = new WindowStore();
expect(s.queryRange(5,5)).toEqual({count:0,sum:0,min:null,max:null,values:[]});
expect(s.queryRange(10,5)).toEqual({count:0,sum:0,min:null,max:null,values:[]});
s.insert(3,7);
expect(s.queryRange(0,3)).toEqual({count:0,sum:0,min:null,max:null,values:[]});
});
it("fixed windows incl partial final extending past end", () => {
const s = new WindowStore();
s.insert(0,1); s.insert(2,3); s.insert(4,5); s.insert(6,9);
const w = s.queryFixedWindows(0,5,2);
// windows: [0,2),[2,4),[4,6) ceil(5/2)=3 ; final [4,6) catches ts=4(5) but not 6
expect(w.map(x=>x.windowStartMs)).toEqual([0,2,4]);
expect(w[2]).toEqual({windowStartMs:4,count:1,sum:5,min:5,max:5});
expect(s.queryFixedWindows(0,0,2)).toEqual([]);
});
it("evict keeps cutoff, recomputes minmax, seq preserved order", () => {
const s = new WindowStore();
s.insert(1,-5); s.insert(5,10); s.insert(5,2); s.insert(9,3);
expect(s.evictBefore(5)).toBe(1);
expect(s.queryRange(0,100)).toEqual({count:3,sum:15,min:2,max:10,values:[10,2,3]});
expect(s.evictBefore(5)).toBe(0);
});
it("negatives and out-of-order", () => {
const s = new WindowStore();
s.insert(50,-1); s.insert(10,-9); s.insert(30,-3);
expect(s.queryRange(0,100)).toEqual({count:3,sum:-13,min:-9,max:-1,values:[-9,-3,-1]});
});
});
EOF
cp /tmp/check.test.ts test/_tmp_check.test.ts
npx vitest run test/_tmp_check.test.ts 2>&1 | tail -15
rm test/_tmp_check.test.tsRUN v1.6.0 /home/user/app
✓ test/_tmp_check.test.ts (5 tests) 4ms
Test Files 1 passed (1)
Tests 5 passed (5)
Start at 20:41:06
Duration 345ms (transform 94ms, setup 0ms, collect 103ms, tests 4ms, environment 0ms, prepare 97ms)No file changes, the agent left the workspace untouched.
VERIFIER: injecting hidden tests from /home/user/tests/hidden -> /home/user/app/test
VERIFIER: test files now present:
_oracle.ts
fuzz.test.ts
store.test.ts
VERIFIER: typecheck
=== running hidden test suite in /home/user/app ===
=== vitest exit status: 0 ===
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 271 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 272 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 273 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 274 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 275 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 276 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 277 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 278 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 279 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 280 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 281 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 282 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 283 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 284 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 285 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 286 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 287 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 288 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 289 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 290 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 291 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 292 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 293 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 294 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 295 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 296 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 297 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 298 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 299 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > seed 300 agrees with the oracle on every op
✓ test/fuzz.test.ts > window-aggregate store , differential fuzz vs independent oracle > reports fuzz coverage
✓ test/fuzz.test.ts > window-aggregate store , moderate scale (within generous budget) > agrees with the oracle on a larger op sequence 12260ms
✓ test/fuzz.test.ts > window-aggregate store , moderate scale (within generous budget) > answers many queries over a large point set quickly
Test Files 2 passed (2)
Tests 330 passed (330)
Start at 20:41:30
Duration 13.72s (transform 127ms, setup 0ms, collect 167ms, tests 13.16s, environment 0ms, prepare 156ms)
=== vitest exit status: 0 ===
RESULT: PASS (reward=1)Reproduce this trial: git checkout 2f94510 && PYTHONPATH=src python3 scripts/build_site.py , then open trial/trial_72fa0c939f494663. Re-running the agent live requires EVAL_PLATFORM_ENABLE_OAUTH_SMOKE=1 and is non-deterministic.
Trial trial_72fa0c939f494663 · verifier authoritative; classifier explanatory.