cython grads: np.int_ -> DTYPE

Author: aldoglielmo

dadapy/_cython/cython_grads.pyx

@@ -129,7 +129,7 @@ def return_common_neighs(np.ndarray[DTYPE_t, ndim = 1] kstar,
 
     cdef DTYPE_t i, j, ind_spar, count, kstar_i, kstar_j, idx, idx2, val_i, val_j
 
-    cdef np.ndarray[DTYPE_t, ndim=1] common_neighs_array = np.zeros(nspar, dtype=np.int_)
+    cdef np.ndarray[DTYPE_t, ndim=1] common_neighs_array = np.zeros(nspar, dtype=DTYPE)
 
     for ind_spar in range(nspar):
         i = nind_list[ind_spar, 0]
@@ -167,8 +167,8 @@ def return_common_neighs_comp_mat(np.ndarray[DTYPE_t, ndim = 1] kstar,
 
     cdef DTYPE_t i, j, ind_spar, count, kstar_i, kstar_j, idx, idx2, val_i, val_j
 
-    cdef np.ndarray[DTYPE_t, ndim=1] common_neighs_array = np.zeros(nspar, dtype=np.int_)
-    cdef np.ndarray[DTYPE_t, ndim=2] common_neighs_mat = np.zeros((N,N), dtype=np.int_)
+    cdef np.ndarray[DTYPE_t, ndim=1] common_neighs_array = np.zeros(nspar, dtype=DTYPE)
+    cdef np.ndarray[DTYPE_t, ndim=2] common_neighs_mat = np.zeros((N,N), dtype=DTYPE)
 
     for ind_spar in range(nspar):
         i = nind_list[ind_spar, 0]
@@ -215,7 +215,7 @@ def return_cross_common_neighs( np.ndarray[DTYPE_t, ndim = 1] kstar,
 
     cdef DTYPE_t i, j, ind_spar, count, kstar_i, kstar_j, idx, idx2, val_i, val_j
 
-    cdef np.ndarray[DTYPE_t, ndim=1] common_neighs_array = np.zeros(nspar, dtype=np.int_)
+    cdef np.ndarray[DTYPE_t, ndim=1] common_neighs_array = np.zeros(nspar, dtype=DTYPE)
 
     for ind_spar in range(nspar):
         i = cross_nind_list[ind_spar, 0]