Add Numpy 2 support

named_arrays/_functions/tests/test_functions_vertices.py

@@ -179,7 +179,7 @@ def test_reshape(self, array: na.AbstractArray, newshape: dict[str, int]):
             for ax in newshape:
                 if ax in array.axes_vertex or (ax not in array.axes and len(array.axes_vertex) != 0):
                     with pytest.raises(ValueError):
-                        result = np.reshape(a=array, newshape=newshape)
+                        result = np.reshape(array, newshape=newshape)
                     return
 
             super().test_reshape(array, newshape)

named_arrays/_scalars/scalar_array_functions.py

@@ -946,8 +946,8 @@ def diff(
     )
 
 
-@implements(np.char.mod)
-def char_mod(
+@implements(np.strings.mod)
+def strings_mod(
     a: str | na.AbstractScalarArray,
     values: str | na.AbstractScalarArray,
 ) -> na.ScalarArray:
@@ -960,7 +960,7 @@ def char_mod(
 
     shape = na.shape_broadcasted(a, values)
 
-    result_ndarray = np.char.mod(
+    result_ndarray = np.strings.mod(
         a=a.ndarray_aligned(shape),
         values=values.ndarray_aligned(shape),
     )

named_arrays/_scalars/scalars.py

@@ -325,7 +325,7 @@ def to_string_array(
         if unit is not None:
             a = f"{a}{pad_unit}{unit:{format_unit}}"
 
-        return np.char.mod(
+        return np.strings.mod(
             a=a,
             values=self.value,
         )

named_arrays/tests/test_core.py

@@ -862,7 +862,7 @@ def test_moveaxis(
         @pytest.mark.parametrize('newshape', [dict(r=-1)])
         def test_reshape(self, array: na.AbstractArray, newshape: dict[str, int]):
 
-            result = np.reshape(a=array, newshape=newshape)
+            result = np.reshape(array, newshape=newshape)
 
             assert result.size == array.size
             assert result.axes == tuple(newshape.keys())
@@ -1128,8 +1128,8 @@ def test_diff_1st_order(
                 "%.2f",
             ]
         )
-        def test_char_mod(self, array: na.AbstractArray, a: na.AbstractArray):
-            result = np.char.mod(a, array)
+        def test_strings_mod(self, array: na.AbstractArray, a: na.AbstractArray):
+            result = np.strings.mod(a, array)
             assert isinstance(result, na.AbstractArray)
 
     @pytest.mark.parametrize(

pyproject.toml

@@ -16,13 +16,13 @@ classifiers = [
 ]
 dependencies = [
     "typing_extensions",
-    "numpy<2",
+    "numpy>2",
     "matplotlib",
     "scipy",
     "astropy",
     "astroscrappy",
-    "ndfilters==0.3.1",
-    "colorsynth==0.1.5",
+    "ndfilters==0.3.2",
+    "colorsynth==0.1.6",
     "regridding==0.2.0",
     "xarray",
 ]