package/python-numpy: fix build with python-cython >= 3.1

Since commit b536caaec0 ("package/python-cython: bump to version
3.1.2"), python-numpy fails to build:

Error compiling Cython file:
------------------------------------------------------------
...
                np.issubdtype(cov.dtype, np.complexfloating)):
            raise TypeError("mean and cov must not be complex")
        if size is None:
            shape = []
        elif isinstance(size, (int, long, np.integer)):
                                    ^
------------------------------------------------------------
numpy/random/_generator.pyx:3760:36: undeclared name not builtin: long

Backport upstream patch to fix that build failure.

Signed-off-by: Sébastien Szymanski <sebastien.szymanski@armadeus.com>
Signed-off-by: Julien Olivain <ju.o@free.fr>
(cherry picked from commit cfabe800ad)
Signed-off-by: Thomas Perale <thomas.perale@mind.be>

package/python-numpy/0001-MNT-do-not-use-long-type.patch

@@ -0,0 +1,34 @@
+From 6dc2fd31f8a5a4ef502cb7734f004f5bce94e671 Mon Sep 17 00:00:00 2001
+From: Thomas A Caswell <tcaswell@gmail.com>
+Date: Sat, 18 Nov 2023 16:46:52 -0500
+Subject: [PATCH] MNT: do not use `long` type
+MIME-Version: 1.0
+Content-Type: text/plain; charset=UTF-8
+Content-Transfer-Encoding: 8bit
+
+Removed as type at language level 3 in ed7e95912b6ed7d20e190fbf1aecb9f2a997d479
+in cython
+
+Upstream: https://github.com/numpy/numpy/commit/6dc2fd31f8a5a4ef502cb7734f004f5bce94e671
+
+Signed-off-by: Sébastien Szymanski <sebastien.szymanski@armadeus.com>
+---
+ numpy/random/_generator.pyx | 2 +-
+ 1 file changed, 1 insertion(+), 1 deletion(-)
+
+diff --git a/numpy/random/_generator.pyx b/numpy/random/_generator.pyx
+index d067e795eb5c..ae481d69d696 100644
+--- a/numpy/random/_generator.pyx
++++ b/numpy/random/_generator.pyx
+@@ -3757,7 +3757,7 @@ def multivariate_normal(self, mean, cov, size=None, check_valid='warn',
+ 
+         if size is None:
+             shape = []
+-        elif isinstance(size, (int, long, np.integer)):
++        elif isinstance(size, (int, np.integer)):
+             shape = [size]
+         else:
+             shape = size
+-- 
+2.49.1
+