Support NumPy 2.0 can_cast (#251)

Author: floriandeboissieu

pdm.lock

@@ -9,6 +9,7 @@ dependencies = [
     "pyproj<4.0.0,>=3.0.0",
     "rasterio<2.0.0,>=1.3.0",
     "xarray>=0.18",
+    "numpy<3,>1.23",
 ]
 description = "Load a STAC collection into xarray with dask"
 license = {text = "MIT"}

pyproject.toml

@@ -165,7 +165,7 @@ def prepare_items(
                 asset_offset = 0
 
             if rescale:
-                if not np.can_cast(asset_scale, dtype):
+                if not np.can_cast(type(asset_scale), dtype):
                     raise ValueError(
                         f"`rescale=True`, but safe casting cannot be completed between "
                         f"asset scale value {asset_scale} and output dtype {dtype}.\n"
@@ -174,7 +174,7 @@ def prepare_items(
                         "values, pass a different `dtype=` (typically `float`)."
                     )
 
-                if not np.can_cast(asset_offset, dtype):
+                if not np.can_cast(type(asset_offset), dtype):
                     raise ValueError(
                         f"`rescale=True`, but safe casting cannot be completed between "
                         f"asset offset value {asset_offset} and output dtype {dtype}.\n"

stackstac/prepare.py

@@ -36,7 +36,7 @@ def items_to_dask(
     "Create a dask Array from an asset table"
     errors_as_nodata = errors_as_nodata or ()  # be sure it's not None
 
-    if not np.can_cast(fill_value, dtype):
+    if not np.can_cast(type(fill_value), dtype):
         raise ValueError(
             f"The fill_value {fill_value} is incompatible with the output dtype {dtype}. "
             f"Either use `dtype={np.array(fill_value).dtype.name!r}`, or pick a different `fill_value`."