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Relaxing the numpy pin to
>=1.26.4allows pip to resolve to either numpy 1.x (when[bfcl]is installed) or numpy 2.x (when it is not). Because numpy 2.0 introduced significant breaking changes, running different major versions of numpy across environments can lead to subtle bugs, API incompatibilities, or non-reproducible benchmark results. To maintain strict environment reproducibility and adhere to the repository's exact-pinning policy, consider pinning numpy to1.26.4globally instead.