fix: unpin numpy<2 for python>3.10 (#415)

Author: ollie-bell

linopy/common.py

@@ -318,9 +318,11 @@ def infer_schema_polars(ds: Dataset) -> dict[Hashable, pl.DataType]:
         dict: A dictionary mapping column names to their corresponding Polars data types.
     """
     schema = {}
+    np_major_version = int(np.__version__.split(".")[0])
+    use_int32 = os.name == "nt" and np_major_version < 2
     for name, array in ds.items():
         if np.issubdtype(array.dtype, np.integer):
-            schema[name] = pl.Int32 if os.name == "nt" else pl.Int64
+            schema[name] = pl.Int32 if use_int32 else pl.Int64
         elif np.issubdtype(array.dtype, np.floating):
             schema[name] = pl.Float64  # type: ignore
         elif np.issubdtype(array.dtype, np.bool_):

pyproject.toml

@@ -25,7 +25,8 @@ classifiers = [
 
 requires-python = ">=3.9"
 dependencies = [
-    "numpy<2.0",
+    "numpy; python_version > '3.10'",
+    "numpy<2; python_version <= '3.10'",
     "scipy",
     "bottleneck",
     "toolz",