Fix TypeError crash in multiplex_looms from pandas 3.0 string dtype - #2
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np.char.split(index, '_') raised "TypeError: string operation on non-string array" because pandas 3.0's default StringDtype (future.infer_string) makes index.astype(str) return an object-dtype ndarray rather than a real numpy unicode array. np.char functions require an actual '<U'/'S' dtype array, so force conversion with np.asarray(..., dtype=str) instead. Verified on the euler cluster by reproducing the exact failing pooling job (seed_1, pool_3.0, robust=False) directly against the pipeline's conda env: it previously crashed with this exact traceback and now completes successfully, producing all expected output files. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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np.char.split(index, '_') raised "TypeError: string operation on non-string array" because pandas 3.0's default StringDtype (future.infer_string) makes index.astype(str) return an object-dtype ndarray rather than a real numpy unicode array. np.char functions require an actual '<U'/'S' dtype array, so force conversion with np.asarray(..., dtype=str) instead.
Verified on the euler cluster by reproducing the exact failing pooling job (seed_1, pool_3.0, robust=False) directly against the pipeline's conda env: it previously crashed with this exact traceback and now completes successfully, producing all expected output files.