Fix XGBoost CI test on MacOS Python3.11, Python3.12, and Python3.13

Implemented the macOS XGBoost test fix.

  Changed:

  - requirements-dev.txt:9: pin CI/dev XGBoost to >=1.7,<3 for Python <3.14.
  - setup.cfg:11: mirror the same constraint for metbit[ml] / metbit[all].
  - tests/test_new_modules.py:28: skip XGBoost tests on Python 3.14 and also skip accidental XGBoost 3.x on macOS before it reaches the segfaulting sklearn CV path.
  - metbit/ml/classifiers.py:46: default XGBoost wrapper to n_jobs=1, still overrideable by caller kwargs.

  Verified:

  - python3 -m py_compile tests/test_new_modules.py metbit/ml/classifiers.py
  - Focused local check: pytest ... TestMLClassifier::test_xgb_fit -o addopts="" passes as skipped on this Python 3.14/XGBoost 3.2.0 machine.

Author: aeiwz

metbit/ml/classifiers.py

@@ -43,7 +43,8 @@ def _make_xgb(kw, rs):
         raise ImportError(
             "xgboost is required for model='xgb'. Install it with: pip install xgboost"
         ) from exc
-    return XGBClassifier(random_state=rs, eval_metric="mlogloss", **kw)
+    params = {"n_jobs": 1, **kw}
+    return XGBClassifier(random_state=rs, eval_metric="mlogloss", **params)
 
 
 class MLClassifier:

requirements-dev.txt

@@ -6,7 +6,7 @@ coverage
 
 # Optional deps required for full test coverage
 # XGBoost: ML classifier tests
-xgboost
+xgboost>=1.7,<3; python_version < "3.14"
 
 # PyTorch CPU-only wheel (smaller, sufficient for tests)
 --extra-index-url https://download.pytorch.org/whl/cpu

setup.cfg

@@ -8,9 +8,9 @@ license_files =
 
 [options.extras_require]
 ml =
-    xgboost>=1.7
+    xgboost>=1.7,<3; python_version < "3.14"
 dl =
     torch>=2.0
 all =
-    xgboost>=1.7
+    xgboost>=1.7,<3; python_version < "3.14"
     torch>=2.0

tests/test_new_modules.py

@@ -1,5 +1,7 @@
 """Tests for the new stats, multivariate, ML, DL, and validation modules."""
 # ruff: noqa: E501
+from importlib import metadata as importlib_metadata
+import platform
 import sys
 import numpy as np
 import pandas as pd
@@ -28,6 +30,12 @@
     _XGB_SKIP_REASON = "xgboost 3.x segfaults under CPython 3.14 (upstream C-API incompatibility)"
 else:
     try:
+        _xgb_version = importlib_metadata.version("xgboost")
+        _xgb_major = int(_xgb_version.split(".", 1)[0])
+        if platform.system() == "Darwin" and _xgb_major >= 3:
+            raise RuntimeError(
+                f"xgboost {_xgb_version} segfaults during sklearn CV on macOS"
+            )
         from xgboost import XGBClassifier as _XGBCheck
         _XGBCheck()  # forces dylib load → catches missing libomp on macOS
         _XGB_AVAILABLE = True