New ask Hacker News story: LLMs all fail this NumPy indexing example

LLMs all fail this NumPy indexing example
3 by minihat | 2 comments on Hacker News.
When mixing basic slicing with an advanced index, NumPy moves the advanced index's subspace to the front, so in the example, A[0, :, B] produces a shape of (4, 2) rather than (2, 4). import numpy as np A = np.random.rand(1, 2, 2) B = np.array([0, 1, 0, 1]) C = A[0, :, B] print("C.shape:", C.shape) So far every LLM I've tried (Grok 3, o1, Gemini Pro) all predict (2, 4) and can't be persuaded otherwise.

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