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Unpin bottleneck so CI installs a NumPy-2-compatible build - #289
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requirements.txt pinned bottleneck<=1.3.6 (compiled against NumPy 1.x) while CI installs numpy>=2.0; importing it under NumPy 2 raises 'AttributeError: _ARRAY_API not found' inside pandas/xarray, which has been failing the Data Access, OWL Reasoning and Visualization live test suites on every recent run. bottleneck>=1.4 ships NumPy-2-built wheels.
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The three live test suites (Data Access & Query, OWL Reasoning, Visualization & Image) have been failing on every recent run — including on master before #288 and on the v2.4.3 tag build — with
AttributeError: _ARRAY_API not found.Cause:
requirements.txtpinsbottleneck<=1.3.6(a 2022 wheel compiled against NumPy 1.x) while.github/workflows/requirements.txtpinsnumpy>=2.0. pandas and xarray import bottleneck as an optional accelerator, and a NumPy-1-built extension under NumPy 2.2.6 raises_ARRAY_API not foundat import, killing test collection. Full trace in any failing job (e.g. pandasnanops.py→import bottleneck).Fix: relax the pin to
bottleneck>=1.4.2— the 1.4+ line ships NumPy-2-built wheels (cp310 included; verifiedbottleneck1.6.0 imports cleanly alongside NumPy 2.x).Not included (PAT can't touch
.github/workflows/):.github/workflows/requirements.txtstill listsjsonpath_rw, a leftover from #288 that makes CI build the fragile legacy sdist for nothing — worth deleting that one line while you're in there.