TypeError in Cython code on numba==0.63.1 and causalml==0.15.4

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Describe the bug When importing causalml.dataset on the 0.15.4 release we are experiencing the following failure:

TypeError: C variable sklearn.utils._random.DEFAULT_SEED has wrong signature (expected __pyx_t_7sklearn_5utils_9_typedefs_uint32_t, got __pyx_t_7sklearn_5utils_9_typedefs_uint32_t const )

To Reproduce Steps to reproduce the behavior:

# uv pip install numba==0.63.1
# uv pip install causalml==0.15.4   # order matters here!
import causalml.dataset

Expected behavior Should pass

Environment (please complete the following information):

• OS: Ubuntu, MacOS
• Python Version: 3.13, 3.14
• Versions of Major Dependencies: pandas==2.3.3, scikit-learn==1.8.0, cython==3.2.2

Additional context We experience this in the SHAP pipelines: https://github.com/shap/shap/actions/runs/20113311832/job/57716416017#step:11:15. We could also upgrade to the latest release of causalml if that supports scipy>=1.16 (a requirement of ours), since the bug seems to be fixed on causalml==0.15.5