Use np.asarray to ensure output of np.add is array, not scalar

```
Python 3.10.4 (main, Sep  1 2022, 10:54:42) [GCC 11.2.0]
Type 'copyright', 'credits' or 'license' for more information
IPython 8.5.0 -- An enhanced Interactive Python. Type '?' for help.

In [1]: import numpy as np

In [2]: a = np.asarray(3, dtype='long')

In [3]: b = np.asarray(2, dtype='long')

In [4]: c = np.add(a, b)

In [5]: type(c)
Out[5]: numpy.int64
```

It appears this behavior existed with prior versions of Python and numpy as well,
but Cython likely became stricter, and no longer allows assigning NumPy scalars
to variables of `cnp.ndarray` type.

Author: oleksandr-pavlyk

mkl_random/mklrand.pyx

@@ -426,7 +426,7 @@ cdef object vec_disc0_array(irk_state *state, irk_disc0_vec func, object size,
         return array
 
 cdef object vec_long_disc0_array(
-    irk_state *state, irk_disc0_vec_long func, 
+    irk_state *state, irk_disc0_vec_long func,
     object size, object lock
 ):
     cdef long *array_data
@@ -5044,7 +5044,7 @@ cdef class RandomState:
             raise ValueError("nbad < 0")
         if np.any(np.less(onsample, 1)):
             raise ValueError("nsample < 1")
-        otot = np.add(ongood, onbad);
+        otot = np.asarray(np.add(ongood, onbad));
         if np.any(np.less_equal(otot, 0)):
             raise ValueError("Number of balls in each urn should not exceed 2147483647")
         if np.any(np.less(otot,onsample)):