MNT: Update int calls to remove warnings.

tint/grid_utils.py

@@ -45,7 +45,7 @@ def get_radar_info(grid_obj):
 
 def get_grid_alt(grid_size, alt_meters=1500):
     """ Returns z-index closest to alt_meters. """
-    return np.int(np.round(alt_meters/grid_size[0]))
+    return np.int64(np.round(alt_meters/grid_size[0]))
 
 
 def get_vert_projection(grid, thresh=40):

tint/matching.py

@@ -127,10 +127,10 @@ def predict_search_extent(obj1_extent, shift, params, grid_size):
     x2 = shifted_center[0] + search_radius_r + 1
     y1 = shifted_center[1] - search_radius_c
     y2 = shifted_center[1] + search_radius_c + 1
-    x1 = np.int(x1)
-    x2 = np.int(x2)
-    y1 = np.int(y1)
-    y2 = np.int(y2)
+    x1 = np.int64(x1)
+    x2 = np.int64(x2)
+    y1 = np.int64(y1)
+    y2 = np.int64(y2)
     return {'x1': x1, 'x2': x2, 'y1': y1, 'y2': y2,
             'center_pred': shifted_center, 'valid': True}
 

tint/phase_correlation.py

@@ -19,10 +19,10 @@ def get_ambient_flow(obj_extent, img1, img2, params, grid_size):
     row_ub = obj_extent['obj_center'][0] + obj_extent['obj_radius'] + margin_r
     col_lb = obj_extent['obj_center'][1] - obj_extent['obj_radius'] - margin_c
     col_ub = obj_extent['obj_center'][1] + obj_extent['obj_radius'] + margin_c
-    row_lb = np.int(row_lb)
-    row_ub = np.int(row_ub)
-    col_lb = np.int(col_lb)
-    col_ub = np.int(col_ub)
+    row_lb = np.int64(row_lb)
+    row_ub = np.int64(row_ub)
+    col_lb = np.int64(col_lb)
+    col_ub = np.int64(col_ub)
 
     dims = img1.shape
 

tint/visualization.py

@@ -155,8 +155,8 @@ def lagrangian_view(tobj, grids, tmp_dir, uid=None, vmin=-8, vmax=64,
         display = pyart.graph.GridMapDisplay(grid)
 
         # Box Size
-        tx = np.int(np.round(row['grid_x']))
-        ty = np.int(np.round(row['grid_y']))
+        tx = np.int64(np.round(row['grid_x']))
+        ty = np.int64(np.round(row['grid_y']))
         tx_met = grid.x['data'][tx]
         ty_met = grid.y['data'][ty]
         lat = row['lat']