Fix numpy deprication warnings

doc/notebooks/demo_thermalized_lbm.ipynb

@@ -94,7 +94,7 @@
        "        "
       ],
       "text/plain": [
-       "<lbmpy.methods.momentbased.momentbasedmethod.MomentBasedLbMethod at 0x7fee5d180fd0>"
+       "<lbmpy.methods.momentbased.momentbasedmethod.MomentBasedLbMethod at 0x7f53ba131fa0>"
       ]
      },
      "execution_count": 2,
@@ -182,7 +182,7 @@
        "        "
       ],
       "text/plain": [
-       "<lbmpy.methods.momentbased.momentbasedmethod.MomentBasedLbMethod at 0x7fee54d8ee80>"
+       "<lbmpy.methods.momentbased.momentbasedmethod.MomentBasedLbMethod at 0x7f53b1d12a90>"
       ]
      },
      "execution_count": 3,
@@ -265,7 +265,7 @@
     "\n",
     "linear_congruent_rng_eqs = [ps.Assignment(seedField(i), seedField(i) * 1664525 + 1013904223) \n",
     "                            for i, _ in enumerate(random_number_symbols)]\n",
-    "floatEqs = [ps.Assignment(ps.TypedSymbol(s.name, np.float), seedField(i) / max_seed_type)\n",
+    "floatEqs = [ps.Assignment(ps.TypedSymbol(s.name, np.float64), seedField(i) / max_seed_type)\n",
     "            for i, s in enumerate(random_number_symbols)]\n",
     "                      \n",
     "rng_eqs = linear_congruent_rng_eqs + floatEqs + [ps.Assignment(debug_output.center, seedField(0) / max_seed_type)]\n",

lbmpy/geometry.py

@@ -231,17 +231,17 @@ def add_black_and_white_image(boundary_handling, image_file, target_slice=None,
     # binarize
     zoomed_image[zoomed_image <= 254] = 0
     zoomed_image[zoomed_image > 254] = 1
-    zoomed_image = np.logical_not(zoomed_image.astype(np.bool))
+    zoomed_image = np.logical_not(zoomed_image.astype(bool))
 
     # resize necessary if aspect ratio should be constant
     if zoomed_image.shape != target_size:
-        resized_image = np.zeros(target_size, dtype=np.bool)
+        resized_image = np.zeros(target_size, dtype=bool)
         mid = [(ts - s) // 2 for ts, s in zip(target_size, zoomed_image.shape)]
         resized_image[mid[0]:zoomed_image.shape[0] + mid[0], mid[1]:zoomed_image.shape[1] + mid[1]] = zoomed_image
         zoomed_image = resized_image
 
     def callback(*coordinates):
-        result = np.zeros_like(coordinates[0], dtype=np.bool)
+        result = np.zeros_like(coordinates[0], dtype=bool)
         mask_start = [int(coordinates[i][(0,) * dim] - 0.5) for i in range(dim)]
         mask_end = [int(coordinates[i][(-1,) * dim] + 1 - 0.5) for i in range(dim)]
 

lbmpy_tests/test_geometry_setup_serial.py

@@ -63,6 +63,6 @@ def test_slice_mask_combination():
         print("x", coordinates[0][:, 0])
         print("y", coordinates[1][0, :])
         print(x.shape)
-        return np.ones_like(x, dtype=np.bool)
+        return np.ones_like(x, dtype=bool)
 
     sc.boundary_handling.set_boundary(NoSlip(), make_slice[6:7, -1], callback)