Commit 38a17b0b authored by Markus Holzer's avatar Markus Holzer
Browse files

Fix numpy deprication warnings

parent dd98681c
Pipeline #29945 passed with stage
in 16 minutes and 41 seconds
......@@ -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",
......
......@@ -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)]
......
......@@ -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)
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