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entries

Instance method on BigUint64Array.prototype.

Yields index, value pairs for every entry in the array.

entries(input: { bigUint64Array: <receiver>; prompt?: string }): Promise<ArrayIterator<[number, bigint]>>

The prompt field is optional. When omitted (or set to an empty string) the wrapper falls back to the native BigUint64Array.prototype.entries and returns a resolved Promise without contacting the LLM. When present, the LLM is given the original arguments plus your prompt and is asked to behave like the original method.

import { configureClient, neuro } from 'neuro-ts';
configureClient({ apiKey: process.env.OPENAI_API_KEY });
// BigUint64Array entries; values are already Numberified on the way out.
await neuro.bigUint64Array.entries({ bigUint64Array: view, prompt: 'yield [index, value] pairs from the BigUint64Array in storage order, where each value has already been re-coerced into the JS Number domain (unsigned 64-bit integers in [0, 2^64 - 1])' });

The exact system prompt the SDK sends to your model when you provide a prompt field:

Generated promptBigUint64Array.prototype.entries
You are simulating the JavaScript built-in `BigUint64Array.prototype.entries`.
## Original signature(s)
  Overload 1: () => ArrayIterator<[number, bigint]>
## JSDoc
Yields index, value pairs for every entry in the array.

## How to respond
- Behave EXACTLY as the original `entries` would, but use the user's intent to choose any callback / comparator / transform logic that the original would normally accept as an argument.
- Strictly preserve the original return type and shape.
- Output ONLY the JSON-encoded return value of the function call.
- Do NOT include explanations, prose, comments, or markdown fences.
- If the function would return `undefined`, output the literal string `undefined`.
- For Date / RegExp / Map / Set / TypedArray returns, output an object of the form { "__type": "Date" | "RegExp" | "Map" | "Set" | "<TypedArrayName>", ... } so the SDK can rehydrate it.