I'm encountering a puzzling issue with negative-step slicing in NumPy (version 1.23.5). While basic slicing and positive-step slicing work as expected, specific combinations with negative steps are producing empty arrays unexpectedly.
Key Observations:
Empty Arrays: Slicing operations like x[2:9:-1] and x[3:8:-1] on a 1D NumPy integer array return empty arrays instead of the expected reversed sub-sequences.
Partial Functionality: Reverse slicing the entire array with x[::-1] does produce the correct reversed sequence, suggesting negative-step functionality is not entirely broken.
Environment Agnostic: The issue persists across different environments (Colab and IDLE), implying it's not environment-specific. Array Integrity: The original array remains unmodified after the slicing operations, ruling out unintended modifications as the cause.
Variations: Other negative-step slicing combinations with similar ranges, like x[1:8:-1] and x[3:8:-1], also result in empty arrays. System Information:
NumPy version: 1.23.5 Python version: 3.10.12 Operating system: Windows
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