[FIX] change bool8->bool_ (#923)

* change bool8->bool_

* add shape to argument

Author: jdkent

nimare/meta/utils.py

@@ -33,7 +33,7 @@ def _convolve_sphere(kernel, ijks, index, max_shape):
 
     def np_all_axis1(x):
         """Numba compatible version of np.all(x, axis=1)."""
-        out = np.ones(x.shape[0], dtype=np.bool8)
+        out = np.ones(x.shape[0], dtype=np.bool_)
         for i in range(x.shape[1]):
             out = np.logical_and(out, x[:, i])
         return out

nimare/utils.py

@@ -1286,9 +1286,9 @@ def b_spline_bases(masker_voxels, spacing, margin=10):
     x_spline_coords = x_spline.nonzero()
     y_spline_coords = y_spline.nonzero()
     z_spline_coords = z_spline.nonzero()
-    x_spline_sparse = sparse.COO(x_spline_coords, x_spline[x_spline_coords])
-    y_spline_sparse = sparse.COO(y_spline_coords, y_spline[y_spline_coords])
-    z_spline_sparse = sparse.COO(z_spline_coords, z_spline[z_spline_coords])
+    x_spline_sparse = sparse.COO(x_spline_coords, x_spline[x_spline_coords], shape=x_spline.shape)
+    y_spline_sparse = sparse.COO(y_spline_coords, y_spline[y_spline_coords], shape=y_spline.shape)
+    z_spline_sparse = sparse.COO(z_spline_coords, z_spline[z_spline_coords], shape=z_spline.shape)
 
     # create spatial design matrix by tensor product of spline bases in 3 dimesion
     # Row sums of X are all 1=> There is no need to re-normalise X