ci: add python 3.13 to CI GHA (#61)

.github/workflows/pull-request.yaml

@@ -34,7 +34,7 @@ jobs:
         #, macos-latest
         #, windows-latest
         ]
-        python-version: ["3.8", "3.9", "3.10", "3.11", "3.12"]
+        python-version: ["3.8", "3.9", "3.10", "3.11", "3.12", "3.13"]
     runs-on: ${{ matrix.os }}
     steps:
       - name: Checkout source code

pyproject.toml

@@ -109,6 +109,7 @@ docstring-code-format = true
 
 [tool.ruff.lint.isort]
 force-single-line = true
+required-imports = ["from __future__ import annotations"]
 
 [tool.interrogate]
 ignore-nested-functions = true

tests/conftest.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 from typing import Any
 from typing import Dict
 from typing import List

tests/test_sklearn.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 from contextlib import nullcontext as does_not_raise
 
 import numpy as np

tests/test_splitstate.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 from datetime import date
 from datetime import datetime
 from datetime import timedelta

tests/test_timebasedsplit.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 from contextlib import nullcontext as does_not_raise
 from datetime import date
 from datetime import datetime

tests/utils/test_backends.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 from contextlib import nullcontext as does_not_raise
 
 import narwhals.stable.v1 as nw

tests/utils/test_funcs.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 import operator
 from typing import Callable
 from typing import List

timebasedcv/__init__.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 from importlib import metadata
 
 from timebasedcv.core import ExpandingTimeSplit

timebasedcv/core.py

@@ -212,6 +212,8 @@ def _splits_from_period(
             msg = "`time_start` must be before `time_end`."
             raise ValueError(msg)
 
+        is_rolling_window = self.window_ == "rolling"
+
         if self.mode_ == "forward":
             train_delta = self.train_delta
             forecast_delta = self.forecast_delta
@@ -232,13 +234,13 @@ def _splits_from_period(
             forecast_end = time_end
             forecast_start = forecast_end + forecast_delta
             train_end = forecast_start + gap_delta
-            train_start = train_end + train_delta if self.window_ == "rolling" else time_start
+            train_start = train_end + train_delta if is_rolling_window else time_start
 
         while (forecast_start <= time_end) and (train_start >= time_start) and (train_start <= train_end + train_delta):
             yield SplitState(train_start, train_end, forecast_start, forecast_end)
 
             # Update state values
-            train_start = train_start + stride_delta if self.window_ == "rolling" else train_start
+            train_start = train_start + stride_delta if is_rolling_window else train_start
             train_end = train_end + stride_delta
             forecast_start = forecast_start + stride_delta
             forecast_end = forecast_end + stride_delta

timebasedcv/utils/_backends.py

@@ -1,12 +1,16 @@
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
 from typing import Callable
 from typing import Dict
 from typing import TypeVar
 
 import narwhals.stable.v1 as nw
 import numpy as np
 
-from timebasedcv.utils._types import SeriesLike
-from timebasedcv.utils._types import TensorLike
+if TYPE_CHECKING:
+    from timebasedcv.utils._types import SeriesLike
+    from timebasedcv.utils._types import TensorLike
 
 
 def default_indexing_method(arr: TensorLike, mask: SeriesLike) -> TensorLike:

timebasedcv/utils/_funcs.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 from itertools import tee
 from typing import Callable
 from typing import Iterable