--- a/astrodendro/analysis.py	2016-09-29 17:23:53.000000000 +0800
+++ b/astrodendro/analysis.py	2023-02-05 13:09:03.929960758 +0800
@@ -77,7 +77,7 @@
             Location of each element of values. The i-th array in the tuple
             describes the ith positional dimension
         """
-        self.values = values.astype(np.float)
+        self.values = values.astype(float)
         self.indices = indices
 
     @memoize
@@ -126,13 +126,13 @@
             The variance (or co-variance matrix) of the data along the
             specified direction(s).
         """
-        w = np.atleast_2d(direction).astype(np.float)
+        w = np.atleast_2d(direction).astype(float)
         for row in w:
             row /= np.linalg.norm(row)
 
         result = np.dot(np.dot(w, self.mom2()), w.T)
         if result.size == 1:
-            result = np.asscalar(result)
+            result = result.item()
         return result
 
     @memoize
--- a/astrodendro/dendrogram.py	2023-02-05 13:10:42.786010635 +0800
+++ b/astrodendro/dendrogram.py	2023-02-05 13:07:48.077121718 +0800
@@ -27,7 +27,7 @@
 # utility dict to offsets of adjacent pixel list
 _offsets = dict((ndim, np.concatenate((
                 np.identity(ndim),
-                np.identity(ndim) * -1)).astype(np.int))
+                np.identity(ndim) * -1)).astype(int))
                 for ndim in range(1, 8))
 
 # the formula above generalizes this special case
@@ -655,11 +655,11 @@
         #    index[offset[pi] : offset[pi] + npix[pi]]
         # and including subtrees is
         #    index[offset[pi] : offset[pi] + npix_subtree[pi]]
-        offset = np.zeros(idx_ct.size, dtype=np.int)
+        offset = np.zeros(idx_ct.size, dtype=int)
         npix = offset * 0
         npix_subtree = offset * 0
 
-        index = -np.ones(sz, dtype=np.int)
+        index = -np.ones(sz, dtype=int)
         order = dendrogram.all_structures
 
         pos = 0
@@ -852,4 +852,4 @@
     # To make the structure.level property fast, we ensure all the structures in the
     # trunk have their level cached as "0"
     for structure in dendrogram.trunk:
-        structure._level = 0  # See the definition of level() in structure.py
\ 文件尾没有换行符
+        structure._level = 0  # See the definition of level() in structure.py
--- a/astrodendro/pruning.py	2016-09-29 17:23:53.000000000 +0800
+++ b/astrodendro/pruning.py	2023-02-05 13:07:48.077121718 +0800
@@ -40,7 +40,7 @@
     else:  # mode == 'wrap'
         indices = [i % d for i, d in zip(indices, dims)]
 
-    result = np.zeros(len(multi_index[0]), dtype=np.int)
+    result = np.zeros(len(multi_index[0]), dtype=int)
     offset = 1
     for i, d in list(zip(indices, dims))[::-1]:
         result += (i * offset).ravel()
--- a/astrodendro/tests/test_compute.py	2016-09-29 17:23:53.000000000 +0800
+++ b/astrodendro/tests/test_compute.py	2023-02-05 13:07:48.080455029 +0800
@@ -110,7 +110,7 @@
         assert len(d.leaves) == 55
 
         # Now check every pixel in the data cube (this takes a while).
-        st_map = -np.ones(self.data.shape, dtype=np.int)
+        st_map = -np.ones(self.data.shape, dtype=int)
         for st in d.all_structures:
             st_map[st.indices(subtree=False)] = st.idx