Update Python requirements (#4924)

Description of changes:
- replace `np.product()` (deprecated in NumPy 1.15 and removed in NumPy 2.0) by `np.prod()`
- bump Python version requirement of `requests` due to CVE-2024-35195
- adjust Python version requirements to resolve all dependency issues
   - `python3 -m pip install -r requirements.txt` now works again

Author: kodiakhq[bot]

requirements.txt

@@ -1,7 +1,7 @@
 # build system
-cython>=0.29.14,<3.0
+cython>=0.29.14,<3.0.10
 # required scientific packages
-numpy>=1.17.4
+numpy>=1.17.4,<2.0
 h5py>=2.7.1
 # optional scientific packages
 scipy>=1.4.0
@@ -13,8 +13,8 @@ vtk>=7.1.1
 PyOpenGL>=3.1.0
 pygame>=1.9.6
 # CI-related
-requests>=2.18.4 # to post on GitHub as espresso-ci
-lxml>=4.2.1 # to deploy tutorials
+requests>=2.32.0
+lxml>=4.2.1
 # sphinx and its dependencies
 sphinx>=2.3.0,!=3.0.0
 sphinx-toggleprompt==0.0.5

testsuite/python/cutoffs.py

@@ -42,7 +42,7 @@ def test(self):
         fene = FeneBond(r_0=1, d_r_max=2, k=1)
         system.bonded_inter.add(fene)
         self.assertEqual(system.cell_system.max_cut_bonded, 3)
-        n_nodes = np.product(system.cell_system.node_grid)
+        n_nodes = np.prod(system.cell_system.node_grid)
         if n_nodes == 1:
             # Bonds don't influence interaction range
             self.assertEqual(system.cell_system.interaction_range, -1)

testsuite/python/lb_stats.py

@@ -106,9 +106,9 @@ def test_mass_momentum_thermostat(self):
                 fluid_temp += np.sum(np.copy(lb_node.velocity)**2) * dens
 
             # Normalize
-            fluid_mass /= np.product(self.lbf.shape)
+            fluid_mass /= np.prod(self.lbf.shape)
             fluid_temp *= self.system.volume() / (
-                3. * np.product(self.lbf.shape)**2)
+                3. * np.prod(self.lbf.shape)**2)
 
             # check mass conversation
             self.assertAlmostEqual(fluid_mass, self.params["dens"],

testsuite/python/particle.py

@@ -195,7 +195,7 @@ def test_vs_relative(self):
         self.assertEqual(res[0], 0, f"vs_relative: {res}")
         self.assertEqual(res[1], 5.0, f"vs_relative: {res}")
         np.testing.assert_allclose(
-            res[2], np.array((0.5, -0.5, -0.5, -0.5)),
+            np.copy(res[2]), np.array([0.5, -0.5, -0.5, -0.5]),
             err_msg=f"vs_relative: {res}", atol=self.tol)
         # check exceptions
         with self.assertRaisesRegex(ValueError, "needs input in the form"):