bump numpy to 2.2.3, scipy to 1.15.2

also fix a related doctest in graphs

Author: dimpase

build/pkgs/numpy/checksums.ini

@@ -1,4 +1,4 @@
 tarball=numpy-VERSION.tar.gz
-sha1=915414f1efabd7c183583154cf1a709bd2745828
-sha256=697df43e2b6310ecc9d95f05d5ef20eacc09c7c4ecc9da3f235d39e71b7da1e4
+sha1=f776e594fbd88e4a50639213b4c510b1588e2dd0
+sha256=dbdc15f0c81611925f382dfa97b3bd0bc2c1ce19d4fe50482cb0ddc12ba30020
 upstream_url=https://files.pythonhosted.org/packages/source/n/numpy/numpy-VERSION.tar.gz

build/pkgs/numpy/package-version.txt

@@ -1 +1 @@
-1.26.3
+2.2.3

build/pkgs/scipy/checksums.ini

@@ -1,4 +1,4 @@
 tarball=scipy-VERSION.tar.gz
-sha1=0fd6e14972d8dd9b4a656686a40aed00ad0f1396
-sha256=4bf5abab8a36d20193c698b0f1fc282c1d083c94723902c447e5d2f1780936a3
+sha1=093c30bdd187fd5693a8d2fc9fcb961b96418a85
+sha256=cd58a314d92838f7e6f755c8a2167ead4f27e1fd5c1251fd54289569ef3495ec
 upstream_url=https://files.pythonhosted.org/packages/source/s/scipy/scipy-VERSION.tar.gz

build/pkgs/scipy/package-version.txt

@@ -1 +1 @@
-1.12.0
+1.15.2

build/pkgs/scipy/version_requirements.txt

@@ -4,4 +4,4 @@
 # deprecations cannot be introduced in micro releases.
 # SciPy devs wait "at least 6 months", "in practice two (minor) releases"
 # from deprecation to removal of a feature.
-scipy >=1.5
+scipy >=1.12

src/sage/graphs/generic_graph.py

@@ -16220,21 +16220,25 @@ def clustering_coeff(self,
             {0: 1/3, 1: 1/3, 2: 0, 3: 1/3, 4: 1/3, 5: 1/3,
              6: 1/3, 7: 1/3, 8: 0, 9: 1/3, 10: 1/3, 11: 0}
 
-            sage: (graphs.FruchtGraph()).clustering_coeff(weight=True)                  # needs networkx
+            sage: # needs networkx
+            sage: import numpy
+            sage: if int(numpy.version.short_version[0]) > 1:
+            ....:     numpy.set_printoptions(legacy="1.25")
+            sage: graphs.FruchtGraph().clustering_coeff(weight=True)
             {0: 0.3333333333333333, 1: 0.3333333333333333, 2: 0,
              3: 0.3333333333333333, 4: 0.3333333333333333,
              5: 0.3333333333333333, 6: 0.3333333333333333,
              7: 0.3333333333333333, 8: 0, 9: 0.3333333333333333,
              10: 0.3333333333333333, 11: 0}
 
-            sage: (graphs.FruchtGraph()).clustering_coeff(nodes=[0,1,2])
+            sage: graphs.FruchtGraph().clustering_coeff(nodes=[0,1,2])
             {0: 0.3333333333333333, 1: 0.3333333333333333, 2: 0.0}
 
-            sage: (graphs.FruchtGraph()).clustering_coeff(nodes=[0,1,2],                # needs networkx
+            sage: graphs.FruchtGraph().clustering_coeff(nodes=[0,1,2],                # needs networkx
             ....:                                         weight=True)
             {0: 0.3333333333333333, 1: 0.3333333333333333, 2: 0}
 
-            sage: (graphs.GridGraph([5,5])).clustering_coeff(nodes=[(0,0),(0,1),(2,2)])
+            sage: graphs.GridGraph([5,5]).clustering_coeff(nodes=[(0,0),(0,1),(2,2)])
             {(0, 0): 0.0, (0, 1): 0.0, (2, 2): 0.0}
 
         TESTS: