fix: support NumPy 2.2

Signed-off-by: Henry Schreiner <[email protected]>

.github/workflows/wheels.yml

@@ -115,6 +115,11 @@ jobs:
 
       - uses: yezz123/setup-uv@v4
 
+      - uses: actions/setup-python@v4
+        if: matrix.os == 'macos-14'
+        with:
+          python-version: 3.8
+
       - uses: pypa/[email protected]
         env:
           CIBW_BUILD: ${{ matrix.build }}

pyproject.toml

@@ -167,7 +167,6 @@ test-command = "pytest --benchmark-disable {project}/tests"
 test-skip = [
   "pp310-*",
   "*universal2:arm64",
-  "cp38-macosx_arm64",
   "cp*-*musllinux*",  # segfault
 ]
 skip = [

src/boost_histogram/_internal/hist.py

@@ -354,8 +354,10 @@ def view(
         """
         return _to_view(self._hist.view(flow))
 
-    def __array__(self) -> np.typing.NDArray[Any]:
-        return self.view(False)
+    def __array__(
+        self, dtype: np.typing.DTypeLike | None = None, *, copy: bool | None = None
+    ) -> np.typing.NDArray[Any]:
+        return np.asarray(self.view(False), dtype=dtype, copy=copy)  # type: ignore[no-any-return,call-overload]
 
     def __eq__(self, other: Any) -> bool:
         return hasattr(other, "_hist") and self._hist == other._hist

tests/test_pandaslike.py

@@ -11,8 +11,8 @@ class Seriesish:
     def __init__(self, array):
         self.array = np.asarray(array)
 
-    def __array__(self):
-        return self.array
+    def __array__(self, dtype=None, *, copy=None):
+        return np.asarray(self.array, dtype=dtype, copy=copy)
 
 
 def test_setting_weighted_profile_convertable():