[v2] Fix doctests with numpy 2.0 (zarr-developers#2073)

pyproject.toml

@@ -145,6 +145,10 @@ filterwarnings = [
     "ignore:The .* is deprecated and will be removed in a Zarr-Python version 3*:FutureWarning",
     "ignore:The experimental Zarr V3 implementation in this version .*:FutureWarning",
 ]
+doctest_subpackage_requires =[
+    "zarr/core.py = numpy>=2",
+    "zarr/creation.py = numpy>=2"
+]
 
 
 [tool.codespell]

zarr/core.py

@@ -609,11 +609,11 @@ def islice(self, start=None, end=None):
 
         Iterate over part of the array:
             >>> for value in z.islice(25, 30): value;
-            25
-            26
-            27
-            28
-            29
+            np.int64(25)
+            np.int64(26)
+            np.int64(27)
+            np.int64(28)
+            np.int64(29)
         """
 
         if len(self.shape) == 0:
@@ -679,7 +679,7 @@ def __getitem__(self, selection):
         Retrieve a single item::
 
             >>> z[5]
-            5
+            np.int64(5)
 
         Retrieve a region via slicing::
 
@@ -706,7 +706,7 @@ def __getitem__(self, selection):
         Retrieve an item::
 
             >>> z[2, 2]
-            22
+            np.int64(22)
 
         Retrieve a region via slicing::
 
@@ -830,7 +830,7 @@ def get_basic_selection(self, selection=Ellipsis, out=None, fields=None):
         Retrieve a single item::
 
             >>> z.get_basic_selection(5)
-            5
+            np.int64(5)
 
         Retrieve a region via slicing::
 
@@ -852,7 +852,7 @@ def get_basic_selection(self, selection=Ellipsis, out=None, fields=None):
         Retrieve an item::
 
             >>> z.get_basic_selection((2, 2))
-            22
+            np.int64(22)
 
         Retrieve a region via slicing::
 
@@ -2819,7 +2819,7 @@ def view(
             >>> v[:]
             array([False, False,  True, ...,  True, False, False])
             >>> np.all(a[:].view(dtype=bool) == v[:])
-            True
+            np.True_
 
         An array can be viewed with a dtype with a different item size, however
         some care is needed to adjust the shape and chunk shape so that chunk
@@ -2833,7 +2833,7 @@ def view(
             >>> v[:10]
             array([0, 0, 1, 0, 2, 0, 3, 0, 4, 0], dtype=uint8)
             >>> np.all(a[:].view('u1') == v[:])
-            True
+            np.True_
 
         Change fill value for uninitialized chunks:
 

zarr/creation.py

@@ -569,7 +569,7 @@ def open_array(
     >>> z2
     <zarr.core.Array (10000, 10000) float64 read-only>
     >>> np.all(z1[:] == z2[:])
-    True
+    np.True_
 
     Notes
     -----