Fixed numpy 2.4 compatibility issues

Author: seanlaw

stumpy/core.py

@@ -4001,7 +4001,10 @@ def _subspace(D, k, include=None, discords=False):
     # `include` processing occur here since we are dealing with indices, not distances
     if include is not None:
         include = _preprocess_include(include)
-        mask = np.in1d(sorted_idx, include)
+        try:
+            mask = np.in1d(sorted_idx, include)
+        except AttributeError:  # pragma: no cover
+            mask = np.isin(sorted_idx, include)
         include_idx = mask.nonzero()[0]
         exclude_idx = (~mask).nonzero()[0]
         sorted_idx[: include_idx.shape[0]], sorted_idx[include_idx.shape[0] :] = (

stumpy/floss.py

@@ -659,9 +659,12 @@ def update(self, t):
 
             self._M_T[:-1] = self._M_T[1:]
             self._Σ_T[:-1] = self._Σ_T[1:]
-            self._M_T[-1], self._Σ_T[-1] = core.compute_mean_std(
-                self._T[-self._m :], self._m
-            )
+
+            M_T, Σ_T = core.compute_mean_std(self._T[-self._m :], self._m)
+            try:
+                self._M_T[-1], self._Σ_T[-1] = M_T, Σ_T
+            except ValueError:  # pragma: no cover
+                self._M_T[-1], self._Σ_T[-1] = M_T.item(), Σ_T.item()
 
             D = core.mass(
                 self._finite_Q,