Rm support for Python 3.8 and 3.9, add Python 3.14

.github/workflows/ci.yml

@@ -38,7 +38,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"]
+        python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"]
 
     steps:
       - uses: actions/checkout@v6

noxfile.py

@@ -7,7 +7,7 @@
 import nox
 
 DIR = Path(__file__).parent.resolve()
-ALL_PYTHON = ["3.8", "3.9", "3.10", "3.11", "3.12", "3.13"]
+ALL_PYTHON = ["3.10", "3.11", "3.12", "3.13", "3.14"]
 
 nox.needs_version = ">=2024.3.2"
 nox.options.sessions = ["lint", "tests"]

pyproject.toml

@@ -15,7 +15,7 @@ authors = [
 description = "Histogramming tools on CUDA."
 readme = "README.md"
 license.file = "LICENSE"
-requires-python = ">=3.8"
+requires-python = ">=3.10"
 classifiers = [
   "Development Status :: 4 - Beta",
   "Intended Audience :: Science/Research",
@@ -25,12 +25,11 @@ classifiers = [
   "Programming Language :: Python",
   "Programming Language :: Python :: 3",
   "Programming Language :: Python :: 3 :: Only",
-  "Programming Language :: Python :: 3.8",
-  "Programming Language :: Python :: 3.9",
   "Programming Language :: Python :: 3.10",
   "Programming Language :: Python :: 3.11",
   "Programming Language :: Python :: 3.12",
   "Programming Language :: Python :: 3.13",
+  "Programming Language :: Python :: 3.14",
   "Topic :: Scientific/Engineering",
   "Typing :: Typed",
 ]
@@ -99,7 +98,7 @@ report.exclude_also = [
 
 [tool.mypy]
 files = ["src", "tests"]
-python_version = "3.8"
+python_version = "3.10"
 warn_unused_configs = true
 strict = true
 enable_error_code = ["ignore-without-code", "redundant-expr", "truthy-bool"]
@@ -166,7 +165,7 @@ isort.required-imports = ["from __future__ import annotations"]
 
 
 [tool.pylint]
-py-version = "3.8"
+py-version = "3.10"
 ignore-paths = [".*/_version.py"]
 reports.output-format = "colorized"
 similarities.ignore-imports = "yes"

src/cuda_histogram/axis/__init__.py

@@ -3,7 +3,7 @@
 import functools
 import numbers
 import warnings
-from typing import Iterable
+from collections.abc import Iterable
 
 import awkward
 import cupy
@@ -414,7 +414,7 @@ class Bin(DenseAxis):
 
     def __init__(self, n_or_arr, lo=None, hi=None, *, name="", label=""):
         self._lazy_intervals = None
-        if isinstance(n_or_arr, (list, np.ndarray, cupy.ndarray)):
+        if isinstance(n_or_arr, list | np.ndarray | cupy.ndarray):
             self._uniform = False
             self._bins = cupy.array(n_or_arr, dtype="d")
             if not all(np.sort(self._bins) == self._bins):
@@ -454,7 +454,10 @@ def _intervals(self):
             self._lazy_intervals = [
                 Interval(low, high, bin)
                 for low, high, bin in zip(
-                    self._interval_bins[:-1], self._interval_bins[1:], self._bin_names
+                    self._interval_bins[:-1],
+                    self._interval_bins[1:],
+                    self._bin_names,
+                    strict=False,
                 )
             ]
         return self._lazy_intervals
@@ -485,7 +488,7 @@ def index(self, identifier):
         The integer range includes flow bins: ``0 = underflow, n+1 = overflow, n+2 = nanflow``
         """
         isarray = isinstance(
-            identifier, (awkward.Array, cupy.ndarray, np.ndarray, list)
+            identifier, awkward.Array | cupy.ndarray | np.ndarray | list
         )
         if isarray or isinstance(identifier, numbers.Number):
             identifier = awkward.to_cupy(identifier)  # cupy.asarray(identifier)
@@ -506,7 +509,7 @@ def index(self, identifier):
                         self._bins + 1,
                     )
 
-                if isinstance(idx, (cupy.ndarray, np.ndarray)):
+                if isinstance(idx, cupy.ndarray | np.ndarray):
                     _replace_nans(
                         self.size - 1,
                         idx if idx.dtype.kind == "f" else idx.astype(cupy.float32),
@@ -630,7 +633,7 @@ def size(self):
         """Number of bins"""
         return (
             self._bins
-            if isinstance(self._bins, (int, np.integer, cupy.integer))
+            if isinstance(self._bins, int | np.integer | cupy.integer)
             else len(self._bins)
         )
 

src/cuda_histogram/hist.py

@@ -140,11 +140,11 @@ def _init_sumw2(self):
     # TODO: should allow better indexing (UHI)
     def __getitem__(self, keys):
         if isinstance(keys, slice) and not all(
-            isinstance(s, (int, float)) or s is None
+            isinstance(s, int | float) or s is None
             for s in [keys.start, keys.stop, keys.step]
         ):
             raise ValueError("use to_boost/to_hist to access other UHI functionalities")
-        if not isinstance(keys, slice) and not isinstance(keys, (int, float, tuple)):
+        if not isinstance(keys, slice) and not isinstance(keys, int | float | tuple):
             raise ValueError("use to_boost/to_hist to access other UHI functionalities")
         if not isinstance(keys, tuple):
             keys = (keys,)
@@ -161,7 +161,7 @@ def __getitem__(self, keys):
         sparse_idx = []
         dense_idx = []
         new_dims = []
-        for s, ax in zip(keys, self._axes):
+        for s, ax in zip(keys, self._axes, strict=False):
             if isinstance(ax, SparseAxis):
                 sparse_idx.append(ax._ireduce(s))
                 new_dims.append(ax)
@@ -180,7 +180,9 @@ def dense_op(array):
         if self._sumw2 is not None:
             out._init_sumw2()
         for sparse_key in self._sumw:
-            if not all(k in idx for k, idx in zip(sparse_key, sparse_idx)):
+            if not all(
+                k in idx for k, idx in zip(sparse_key, sparse_idx, strict=False)
+            ):
                 continue
             if sparse_key in out._sumw:
                 out._sumw[sparse_key] += dense_op(self._sumw[sparse_key])
@@ -203,7 +205,7 @@ def fill(self, *args, weight=None):
             weight : cupy.ndarray
                 Provide weights.
         """
-        if not all(isinstance(a, (cupy.ndarray, str)) for a in args):
+        if not all(isinstance(a, cupy.ndarray | str) for a in args):
             raise TypeError("pass CuPy arrays")
         if weight is not None and not isinstance(weight, cupy.ndarray):
             raise TypeError("pass CuPy arrays")
@@ -216,7 +218,7 @@ def fill(self, *args, weight=None):
 
         sparse_key = tuple(
             d.index(value)
-            for d, value in zip(self._axes, args)
+            for d, value in zip(self._axes, args, strict=False)
             if isinstance(d, SparseAxis)
         )
 
@@ -232,7 +234,7 @@ def fill(self, *args, weight=None):
         if self.dense_dim() > 0:
             dense_indices = tuple(
                 cupy.asarray(d.index(value))
-                for d, value in zip(self._axes, args)
+                for d, value in zip(self._axes, args, strict=False)
                 if isinstance(d, DenseAxis)
             )
             xy = cupy.atleast_1d(