fix broken test

xgi/stats/__init__.py

@@ -203,23 +203,23 @@ def ashist(self, bins=10, bin_edges=False, density=False, log_binning=False):
 
     def max(self):
         """The maximum value of this stat."""
-        return float(self.asnumpy().max(axis=0))
+        return self.asnumpy().max(axis=0).item()
 
     def min(self):
         """The minimum value of this stat."""
-        return float(self.asnumpy().min(axis=0))
+        return self.asnumpy().min(axis=0).item()
 
     def sum(self):
         """The sum of this stat."""
-        return float(self.asnumpy().sum(axis=0))
+        return self.asnumpy().sum(axis=0).item()
 
     def mean(self):
         """The arithmetic mean of this stat."""
-        return float(self.asnumpy().mean(axis=0))
+        return self.asnumpy().mean(axis=0).item()
 
     def median(self):
         """The median of this stat."""
-        return float(np.median(self.asnumpy(), axis=0))
+        return np.median(self.asnumpy(), axis=0).item()
 
     def std(self):
         """The standard deviation of this stat.
@@ -231,7 +231,7 @@ def std(self):
         See https://www.allendowney.com/blog/2024/06/08/which-standard-deviation/
         for more details.
         """
-        return float(self.asnumpy().std(axis=0))
+        return self.asnumpy().std(axis=0).item()
 
     def var(self):
         """The variance of this stat.
@@ -243,7 +243,7 @@ def var(self):
         See https://www.allendowney.com/blog/2024/06/08/which-standard-deviation/
         for more details.
         """
-        return float(self.asnumpy().var(axis=0))
+        return self.asnumpy().var(axis=0).item()
 
     def moment(self, order=2, center=False):
         """The statistical moments of this stat.
@@ -258,7 +258,7 @@ def moment(self, order=2, center=False):
         """
         arr = self.asnumpy()
         return (
-            float(spmoment(arr, moment=order)) if center else float(np.mean(arr**order))
+            spmoment(arr, moment=order) if center else np.mean(arr**order).item()
         )
 
     def argmin(self):