def __test_nothing_operation(self,input_var):
print("\n nothing testing...")
start_time = t.time()
v_output = vc.nothing(input_var,no_of_blocks=PL[0],fakeghost=PL[1],make_float32=False)
print("vc nothing time taken: ",(t.time() - start_time)," sec")
msgs = "nothing_operation_fail_with parameters: ",PL
self.assertTrue((input_var==v_output).all(), msg=msgs)
def __test_nothing_make_float32_True(self,input_var):
print("\n nothing testing...")
start_time = t.time()
v_output = vc.nothing(input_var,no_of_blocks=PL[0],fakeghost=PL[1])
print("vc nothing time taken: ",(t.time() - start_time)," sec")
msgs = "nothing_operation_fail_with parameters: make_float32=True"
self.assertFalse((input_var==v_output).all(), msg=msgs)
self.assertTrue((v_output.dtype=="float32"), msg="data type is not converted to float32")
def main():
structure = np.ones((3, 3, 3))
#.............test1. dense.......
filename = 'gyroidUniform.npy'
input = np.load(filename, mmap_mode="r")
print(
"..............................dense.............................................."
)
#0.Nothing..............
print("\n nothing testing...")
output = vc.nothing(input, blockSize=50, fakeGhost=4, makeFloat32=False)
print("\nresult: ", (input == output).all())
print(output.dtype, input.dtype)
#1.grey_dilation..............
print("\ngrey_dilation VoxelProcessind")
output = vc.grey_dilation(input, structure=structure, makeFloat32=False)
print("\ngrey_dilation Default")
d = ndimage.grey_dilation(input, structure=structure)
print("\nresult: ", (d == output).all())
print(output.dtype, input.dtype)
#2.grey_erosion..............
print("\ngrey_erosion VoxelProcessind")
output = vc.grey_erosion(input,
makeFloat32=False,
size=None,
footprint=None,
structure=structure,
output=None,
mode='reflect',
cval=0.0,
origin=0)
print("\ngrey_erosion Default")
d = ndimage.grey_erosion(input,
size=None,
footprint=None,
structure=structure,
output=None,
mode='reflect',
cval=0.0,
origin=0)
print("\nresult: ", (d == output).all())
#3.grey_closing..............
print("\ngrey_closing VoxelProcessind")
output = vc.grey_closing(input,
makeFloat32=False,
size=None,
footprint=None,
structure=structure,
output=None,
mode='reflect',
cval=0.0,
origin=0)
print("\ngrey_closing Default")
d = ndimage.grey_closing(input,
size=None,
footprint=None,
structure=structure,
output=None,
mode='reflect',
cval=0.0,
origin=0)
print("\nresult: ", (d == output).all())
print(output.dtype, input.dtype)
#4.grey_opening..............
print("\ngrey_opening VoxelProcessind")
output = vc.grey_opening(input,
makeFloat32=False,
size=None,
footprint=None,
structure=structure,
output=None,
mode='reflect',
cval=0.0,
origin=0)
print("\ngrey_opening Default")
d = ndimage.grey_opening(input,
size=None,
footprint=None,
structure=structure,
output=None,
mode='reflect',
cval=0.0,
origin=0)
print("\nresult: ", (d == output).all())
#5.binary_closing..............
print("\nbinary_closing VoxelProcessind")
output = vc.binary_closing(input,
makeFloat32=False,
structure=None,
iterations=1,
output=None,
origin=0,
mask=None,
border_value=0,
brute_force=False)
print("\nbinary_closing Default")
d = ndimage.binary_closing(input,
structure=None,
iterations=1,
output=None,
origin=0,
mask=None,
border_value=0,
brute_force=False)
print("\nresult: ", (d == output).all())
print(output[151][151][151])
#6.binary_opening..............
print("\nbinary_opening VoxelProcessind")
output = vc.binary_opening(input,
structure=None,
iterations=1,
output=None,
origin=0,
mask=None,
border_value=0,
brute_force=False)
print("\nbinary_opening Default")
d = ndimage.binary_opening(input,
structure=None,
iterations=1,
output=None,
origin=0,
mask=None,
border_value=0,
brute_force=False)
print("\nresult: ", (d == output).all())
#7.binary_dilation..............
print("\nbinary_dilation VoxelProcessind")
output = vc.binary_dilation(input,
makeFloat32=False,
structure=structure,
iterations=1,
mask=None,
output=None,
border_value=0,
origin=0,
brute_force=False)
print("\nbinary_dilation Default")
d = ndimage.binary_dilation(input,
structure=structure,
iterations=1,
mask=None,
output=None,
border_value=0,
origin=0,
brute_force=False)
print("\nresult: ", (d == output).all())
#8.binary_erosion..............
print("\nbinary_erosion VoxelProcessind")
output = vc.binary_erosion(input,
makeFloat32=False,
structure=None,
iterations=1,
mask=None,
output=None,
border_value=0,
origin=0,
brute_force=False)
print("\nbinary_erosion Default")
d = ndimage.binary_erosion(input,
structure=None,
iterations=1,
mask=None,
output=None,
border_value=0,
origin=0,
brute_force=False)
print("\nresult: ", (d == output).all())
#9.binary_fill_holes..............
print("\nbinary_fill_holes VoxelProcessind")
output = vc.binary_fill_holes(input,
makeFloat32=False,
structure=None,
output=None,
origin=0)
print("\nbinary_fill_holes Default")
d = ndimage.binary_fill_holes(input, structure=None, output=None, origin=0)
print("\nresult: ", (d == output).all())
#10.binary_hit_or_miss..............
print("\nbinary_hit_or_miss VoxelProcessind")
output = vc.binary_hit_or_miss(input,
makeFloat32=False,
structure1=None,
structure2=None,
output=None,
origin1=0,
origin2=None)
print("\nbinary_hit_or_miss Default")
d = ndimage.binary_hit_or_miss(input,
structure1=None,
structure2=None,
output=None,
origin1=0,
origin2=None)
print("\nresult: ", (d == output).all())
#11.binary_propagation..............
print("\nbinary_propagation VoxelProcessind")
output = vc.binary_propagation(input,
makeFloat32=False,
structure=None,
mask=None,
output=None,
border_value=0,
origin=0)
print("\nbinary_propagation Default")
d = ndimage.binary_propagation(input,
structure=None,
mask=None,
output=None,
border_value=0,
origin=0)
print("\nresult: ", (d == output).all())
#12.black_tophat..............
print("\nblack_tophat VoxelProcessind")
output = vc.black_tophat(input,
makeFloat32=False,
size=None,
footprint=None,
structure=structure,
output=None,
mode='reflect',
cval=0.0,
origin=0)
print("\nblack_tophat Default")
d = ndimage.black_tophat(input,
size=None,
footprint=None,
structure=structure,
output=None,
mode='reflect',
cval=0.0,
origin=0)
print("\nresult: ", (d == output).all())
#13.morphological_gradient..............
print("\nmorphological_gradient VoxelProcessind")
output = vc.morphological_gradient(input,
makeFloat32=False,
size=None,
footprint=None,
structure=structure,
output=None,
mode='reflect',
cval=0.0,
origin=0)
print("\nmorphological_gradient Default")
d = ndimage.morphological_gradient(input,
size=None,
footprint=None,
structure=structure,
output=None,
mode='reflect',
cval=0.0,
origin=0)
print("\nresult: ", (d == output).all())
#14.morphological_laplace..............
print("\nmorphological_laplace VoxelProcessind")
output = vc.morphological_laplace(input,
makeFloat32=False,
size=None,
footprint=None,
structure=structure,
output=None,
mode='reflect',
cval=0.0,
origin=0)
print("\nmorphological_laplace Default")
d = ndimage.morphological_laplace(input,
size=None,
footprint=None,
structure=structure,
output=None,
mode='reflect',
cval=0.0,
origin=0)
print("\nresult: ", (d == output).all())
#15.white_tophat..............
print("\nwhite_tophat VoxelProcessind")
output = vc.white_tophat(input,
makeFloat32=False,
size=None,
footprint=None,
structure=structure,
output=None,
mode='reflect',
cval=0.0,
origin=0)
print("\nwhite_tophat VoxelProcessind Default")
d = ndimage.white_tophat(input,
size=None,
footprint=None,
structure=structure,
output=None,
mode='reflect',
cval=0.0,
origin=0)
print("\nresult: ", (d == output).all())
#16.intMultiply..............
print("\nintMultiply VoxelProcessind")
output = vc.intMultiply(input,
makeFloat32=False,
blockSize=50,
fakeGhost=1,
scalar=10)
print("\nintMultiply Default")
d = input * 10
print("\nresult: ", (d == output).all())
print(
"..............................Sparse.............................................."
)
input = random(400, 80000, density=0.3, dtype="float64")
input = input.todense()
input = np.array(input)
input = np.reshape(input, (400, 200, 400))
#0.Nothing..............
print("\n nothing testing...")
output = vc.nothing(input, makeFloat32=False)
print("\nresult: ", (input == output).all())
print(output.dtype, input.dtype)
#1.grey_dilation..............
print("\ngrey_dilation VoxelProcessind")
output = vc.grey_dilation(input, structure=structure, makeFloat32=False)
print("\ngrey_dilation Default")
d = ndimage.grey_dilation(input, structure=structure)
print("\nresult: ", (d == output).all())
print(output.dtype, input.dtype)
#2.grey_erosion..............
print("\ngrey_erosion VoxelProcessind")
output = vc.grey_erosion(input, makeFloat32=False, structure=structure)
print("\ngrey_erosion Default")
d = ndimage.grey_erosion(input, structure=structure)
print("\nresult: ", (d == output).all())
#3.grey_closing..............
print("\ngrey_closing VoxelProcessind")
output = vc.grey_closing(input, makeFloat32=False, structure=structure)
print("\ngrey_closing Default")
d = ndimage.grey_closing(input, structure=structure)
print("\nresult: ", (d == output).all())
print(output.dtype, input.dtype)
#4.grey_opening..............
print("\ngrey_opening VoxelProcessind")
output = vc.grey_opening(input, makeFloat32=False, structure=structure)
print("\ngrey_opening Default")
d = ndimage.grey_opening(input, structure=structure)
print("\nresult: ", (d == output).all())
#5.binary_closing..............
print("\nbinary_closing VoxelProcessind")
output = vc.binary_closing(input, makeFloat32=False)
print("\nbinary_closing Default")
d = ndimage.binary_closing(input)
print("\nresult: ", (d == output).all())
#6.binary_opening..............
print("\nbinary_opening VoxelProcessind")
output = vc.binary_opening(input, makeFloat32=False)
print("\nbinary_opening Default")
d = ndimage.binary_opening(input)
print("\nresult: ", (d == output).all())
#7.binary_dilation..............
print("\nbinary_dilation VoxelProcessind")
output = vc.binary_dilation(input, makeFloat32=False, structure=structure)
print("\nbinary_dilation Default")
d = ndimage.binary_dilation(input, structure=structure)
print("\nresult: ", (d == output).all())
#8.binary_erosion..............
print("\nbinary_erosion VoxelProcessind")
output = vc.binary_erosion(input, makeFloat32=False)
print("\nbinary_erosion Default")
d = ndimage.binary_erosion(input)
print("\nresult: ", (d == output).all())
#9.binary_fill_holes..............
print("\nbinary_fill_holes VoxelProcessind")
output = vc.binary_fill_holes(input, makeFloat32=False)
print("\nbinary_fill_holes Default")
d = ndimage.binary_fill_holes(input)
print("\nresult: ", (d == output).all())
#10.binary_hit_or_miss..............
print("\nbinary_hit_or_miss VoxelProcessind")
output = vc.binary_hit_or_miss(input, makeFloat32=False)
print("\nbinary_hit_or_miss Default")
d = ndimage.binary_hit_or_miss(input)
print("\nresult: ", (d == output).all())
#11.binary_propagation..............
print("\nbinary_propagation VoxelProcessind")
output = vc.binary_propagation(input, makeFloat32=False)
print("\nbinary_propagation Default")
d = ndimage.binary_propagation(input)
print("\nresult: ", (d == output).all())
#12.black_tophat..............
print("\nblack_tophat VoxelProcessind")
output = vc.black_tophat(input, makeFloat32=False, structure=structure)
print("\nblack_tophat Default")
d = ndimage.black_tophat(input, structure=structure)
print("\nresult: ", (d == output).all())
#13.morphological_gradient..............
print("\nmorphological_gradient VoxelProcessind")
output = vc.morphological_gradient(
input,
structure=structure,
makeFloat32=False,
)
print("\nmorphological_gradient Default")
d = ndimage.morphological_gradient(input, structure=structure)
print("\nresult: ", (d == output).all())
#14.morphological_laplace..............
print("\nmorphological_laplace VoxelProcessind")
output = vc.morphological_laplace(input,
structure=structure,
makeFloat32=False)
print("\nmorphological_laplace Default")
d = ndimage.morphological_laplace(input, structure=structure)
print("\nresult: ", (d == output).all())
#15.white_tophat..............
print("\nwhite_tophat VoxelProcessind")
output = vc.white_tophat(input, makeFloat32=False, structure=structure)
print("\nwhite_tophat VoxelProcessind Default")
d = ndimage.white_tophat(input, structure=structure)
print("\nresult: ", (d == output).all())
#16.intMultiply..............
print("\nintMultiply VoxelProcessind")
output = vc.intMultiply(input, makeFloat32=False, scalar=10)
print("\nintMultiply Default")
d = input * 10
print("\nresult: ", (d == output).all())
print("\nbinary_fill_holes VoxelProcessing")
start_time = t.time()
output = vc.binary_fill_holes(input_var,
make_float32=False,
structure=structure)
print("vc binary_fill_holes: ", (t.time() - start_time), " sec")
print("\nbinary_fill_holes Default")
start_time = t.time()
d = ndimage.binary_fill_holes(input_var, structure=structure)
print("scipy binary_fill_holes: ", (t.time() - start_time), " sec")
print("\nresult: ", (d == output).all())
#0.Nothing..............
print("\n nothing testing...")
start_time = t.time()
output = vc.nothing(input_var, no_of_blocks=7, fakeghost=4, make_float32=False)
print("vc nothing: ", (t.time() - start_time), " sec")
print("\nresult: ", (input_var == output).all())
#1.grey_dilation..............
print("\ngrey_dilation VoxelProcessing")
start_time = t.time()
output = vc.grey_dilation(input_var,
no_of_blocks=6,
structure=structure,
make_float32=False)
print("vc grey_dilation: ", (t.time() - start_time), " sec")
print("\ngrey_dilation Default")
start_time = t.time()
d = ndimage.grey_dilation(input_var, structure=structure)
print("scipy grey_dilation: ", (t.time() - start_time), " sec")
filename = 'gyroidUniform.npy'
structure = np.ones((3, 3, 3))
#generating sparse array of different size...
input = random(40000, 200, density=0.5, dtype="float64")
input = input.todense()
input = np.array(input)
input = np.reshape(input, (200, 200, 200))
#............
#...............
print(process.memory_info())
print("\nNothing testing....")
start_time = t.time()
x = int(process.memory_info().rss)
output = vc.nothing(input, fakeGhost=3)
y = int(process.memory_info().rss)
print("Memory: ", (y - x) / 1000000)
print("sec: ", (t.time() - start_time))
print("result: ", (input == output).all())
print(process.memory_info())
#.......test1..........
print("\ngrey_dilation VoxelProcessind")
start_time = t.time()
x = int(process.memory_info().rss)
output = vc.grey_dilation(input, fakeGhost=3, structure=structure)
y = int(process.memory_info().rss)
print("Memory: ", (y - x) / 1000000)
print("sec: ", (t.time() - start_time))
# python -m memory_profiler memory.py
size=None,
footprint=None,
structure=structure,
output=None,
mode='reflect',
cval=0.0,
origin=0)
#15
output_var = vc.white_tophat(input_var,
no_of_blocks=4,
fakeghost=2,
make_float32=True,
size=None,
footprint=None,
structure=structure,
output=None,
mode='reflect',
cval=0.0,
origin=0)
#16
output_var = vc.multiply(input_var,
no_of_blocks=4,
fakeghost=2,
make_float32=True,
scalar=1)
#17
output_var = vc.nothing(input_var,
no_of_blocks=4,
fakeghost=2,
make_float32=True)
def test_nothing_operation_dense_input_blocks_two(self):
print("\n test_nothing_operation_dense_input_blocks_two...")
v_output = vc.nothing(input_dvar, no_of_blocks=2, make_float32=False)
d_output = input_dvar
msgs = "test_nothing_operation_dense_input_blocks_two"
self.assertTrue((d_output == v_output).all(), msg=msgs)
def test_nothing_operation_dense_input_default_value(self):
print("\n test_nothing_operation_dense_input_default_value...")
v_output = vc.nothing(input_dvar, make_float32=False)
d_output = input_dvar
msgs = "test_nothing_operation_dense_input_default_value"
self.assertTrue((d_output == v_output).all(), msg=msgs)
def test_nothing_operation_sparse_input_fakeghost_four(self):
print("\n test_nothing_operation_sparse_input_fakeghost_four...")
v_output = vc.nothing(input_svar, fakeghost=4, make_float32=False)
d_output = input_svar
msgs = "test_nothing_operation_sparse_input_fakeghost_four"
self.assertTrue((d_output == v_output).all(), msg=msgs)
def test_nothing_operation_sparse_input_blocks_ten(self):
print("\n test_nothing_operation_sparse_input_blocks_ten...")
v_output = vc.nothing(input_svar, no_of_blocks=10, make_float32=False)
d_output = input_svar
msgs = "test_nothing_operation_sparse_input_blocks_ten"
self.assertTrue((d_output == v_output).all(), msg=msgs)
