def test_3d_backprop_real():
"""
Check if the real reconstruction matches the real part
of the complex reconstruction.
"""
sino, angles = create_test_sino_3d(Nx=10, Ny=10)
parameters = get_test_parameter_set(2)
# complex
r = list()
for p in parameters:
f = odtbrain.backpropagate_3d(sino,
angles,
padval=0,
dtype=np.float64,
onlyreal=False,
**p)
r.append(f)
# real
r2 = list()
for p in parameters:
f = odtbrain.backpropagate_3d(sino,
angles,
padval=0,
dtype=np.float64,
onlyreal=True,
**p)
r2.append(f)
assert np.allclose(np.array(r).real, np.array(r2))
def test_3d_backprop_real():
"""
Check if the real reconstruction matches the real part
of the complex reconstruction.
"""
myframe = sys._getframe()
myname = myframe.f_code.co_name
print("running ", myname)
sino, angles = create_test_sino_3d(Nx=10, Ny=10)
parameters = get_test_parameter_set(2)
# complex
r = list()
for p in parameters:
f = odtbrain._Back_3D.backpropagate_3d(sino, angles, padval=0,
dtype=np.float64,
onlyreal=False, **p)
r.append(f)
# real
r2 = list()
for p in parameters:
f = odtbrain._Back_3D.backpropagate_3d(sino, angles, padval=0,
dtype=np.float64,
onlyreal=True, **p)
r2.append(f)
assert np.allclose(np.array(r).real, np.array(r2))
def test_correct_reproduce():
myframe = sys._getframe()
sino, angles = create_test_sino_3d(Nx=10, Ny=10)
p = get_test_parameter_set(1)[0]
sryt = odtbrain.sinogram_as_rytov(uSin=sino, u0=1, align=False)
f = odtbrain.backpropagate_3d(sryt,
angles,
padval=0,
dtype=np.float64,
copy=False,
**p)
fc = odtbrain.apple.correct(f=f,
res=p["res"],
nm=p["nm"],
enforce_envelope=.95,
max_iter=100,
min_diff=0.01)
fo = cutout(fc)
fo = np.array(fo, dtype=np.complex128)
if WRITE_RES:
write_results(myframe, fo)
data = fo.flatten().view(float)
assert np.allclose(data, get_results(myframe))
def test_back3d_tilted():
sino, angles = create_test_sino_3d(Nx=10, Ny=10)
parameters = get_test_parameter_set(2)
# complex
r = list()
for p in parameters:
f = odtbrain.backpropagate_3d_tilted(sino,
angles,
padval=0,
dtype=np.float64,
save_memory=False,
**p)
r.append(f)
# real
r2 = list()
for p in parameters:
f = odtbrain.backpropagate_3d_tilted(sino,
angles,
padval=0,
dtype=np.float64,
save_memory=True,
**p)
r2.append(f)
assert np.allclose(np.array(r), np.array(r2))
def test_3d_backprop_weights_even():
"""
even weights
"""
platform.system = lambda: "Windows"
sino, angles = create_test_sino_3d()
p = get_test_parameter_set(1)[0]
f1 = odtbrain.backpropagate_3d(sino, angles, weight_angles=False, **p)
f2 = odtbrain.backpropagate_3d(sino, angles, weight_angles=True, **p)
data1 = np.array(f1).flatten().view(float)
data2 = np.array(f2).flatten().view(float)
assert np.allclose(data1, data2)
def test_back3d_tilted():
myframe = sys._getframe()
myname = myframe.f_code.co_name
print("running ", myname)
sino, angles = create_test_sino_3d(Nx=10, Ny=10)
p = get_test_parameter_set(1)[0]
f1 = odtbrain._Back_3D_tilted.backpropagate_3d_tilted(sino, angles, padval=0,
dtype=np.float64,
copy=False, **p)
f2 = odtbrain._Back_3D_tilted.backpropagate_3d_tilted(sino, angles, padval=0,
dtype=np.float64,
copy=True, **p)
assert np.allclose(f1, f2)
def test_3d_backprop_phase32():
sino, angles = create_test_sino_3d()
parameters = get_test_parameter_set(2)
r = list()
for p in parameters:
f = odtbrain.backpropagate_3d(sino,
angles,
dtype=np.float32,
padval=0,
**p)
r.append(cutout(f))
data32 = np.array(r).flatten().view(np.float32)
data64 = test_3d_backprop_phase()
assert np.allclose(data32, data64, atol=6e-7, rtol=0)
def test_3d_backprop_phase32():
myframe = sys._getframe()
myname = myframe.f_code.co_name
print("running ", myname)
sino, angles = create_test_sino_3d()
parameters = get_test_parameter_set(2)
r = list()
for p in parameters:
f = odtbrain._Back_3D.backpropagate_3d(sino, angles,
dtype=np.float32, padval=0, **p)
r.append(cutout(f))
data32 = np.array(r).flatten().view(np.float32)
data64 = test_3d_backprop_phase()
assert np.allclose(data32, data64, atol=6e-7, rtol=0)
def test_back3d_tilted():
sino, angles = create_test_sino_3d(Nx=10, Ny=10)
p = get_test_parameter_set(1)[0]
# complex
jmc = mp.Value("i", 0)
jmm = mp.Value("i", 0)
odtbrain.backpropagate_3d_tilted(sino,
angles,
padval=0,
dtype=np.float64,
count=jmc,
max_count=jmm,
**p)
assert jmc.value == jmm.value
assert jmc.value != 0
def test_3d_backprop_phase():
myframe = sys._getframe()
myname = myframe.f_code.co_name
print("running ", myname)
sino, angles = create_test_sino_3d()
parameters = get_test_parameter_set(2)
r = list()
for p in parameters:
f = odtbrain._Back_3D.backpropagate_3d(sino, angles, padval=0,
dtype=np.float64, **p)
r.append(cutout(f))
if WRITE_RES:
write_results(myframe, r)
data = np.array(r).flatten().view(float)
assert np.allclose(data, get_results(myframe))
return data
def test_back3d_tilted():
sino, angles = create_test_sino_3d(Nx=10, Ny=10)
p = get_test_parameter_set(1)[0]
f1 = odtbrain.backpropagate_3d_tilted(sino,
angles,
padval=0,
dtype=np.float64,
copy=False,
**p)
f2 = odtbrain.backpropagate_3d_tilted(sino,
angles,
padval=0,
dtype=np.float64,
copy=True,
**p)
assert np.allclose(f1, f2)
def test_back3d():
myframe = sys._getframe()
myname = myframe.f_code.co_name
print("running ", myname)
sino, angles = create_test_sino_3d(Nx=10, Ny=10)
p = get_test_parameter_set(1)[0]
# complex
jmc = mp.Value("i", 0)
jmm = mp.Value("i", 0)
f = odtbrain._Back_3D.backpropagate_3d(sino, angles, padval=0,
dtype=np.float64,
jmc=jmc,
jmm=jmm,
**p)
assert jmc.value == jmm.value
assert jmc.value != 0
def test_3d_backprop_phase():
myframe = sys._getframe()
sino, angles = create_test_sino_3d()
parameters = get_test_parameter_set(2)
r = list()
for p in parameters:
f = odtbrain.backpropagate_3d(sino,
angles,
padval=0,
dtype=np.float64,
**p)
r.append(cutout(f))
if WRITE_RES:
write_results(myframe, r)
data = np.array(r).flatten().view(float)
assert np.allclose(data, get_results(myframe))
return data
def test_3d_backprop_phase_real():
sino, angles = create_test_sino_3d()
parameters = get_test_parameter_set(2)
# reference
rref = list()
for p in parameters:
fref = odtbrain.backpropagate_3d(sino, angles, padval=0,
dtype=np.float64, onlyreal=True, **p)
rref.append(cutout(fref))
dataref = np.array(rref).flatten().view(float)
r = list()
for p in parameters:
f = odtbrain.backpropagate_3d_tilted(sino, angles, padval=0,
dtype=np.float64, onlyreal=True,
**p)
r.append(cutout(f))
data = np.array(r).flatten().view(float)
assert np.allclose(data, dataref)
def test_correct_values():
sino, angles = create_test_sino_3d(Nx=10, Ny=10)
p = get_test_parameter_set(1)[0]
f = odtbrain.backpropagate_3d(sino,
angles,
padval=0,
dtype=np.float64,
copy=False,
**p)
try:
odtbrain.apple.correct(
f=f,
res=p["res"],
nm=p["nm"],
enforce_envelope=1.05,
)
except ValueError:
pass
else:
assert False, "`enforce_envelope` must be in [0, 1]"
def test_3d_backprop_nopadreal():
"""
- no padding
- only real result
"""
platform.system = lambda:"Windows"
myframe = sys._getframe()
myname = myframe.f_code.co_name
print("running ", myname)
sino, angles = create_test_sino_3d()
parameters = get_test_parameter_set(2)
r = list()
for p in parameters:
f = odtbrain._Back_3D.backpropagate_3d(sino, angles, padding=(False,False),
dtype=np.float64, onlyreal=True, **p)
r.append(cutout(f))
if WRITE_RES:
write_results(myframe, r)
data = np.array(r).flatten().view(float)
assert np.allclose(data, get_results(myframe))
def test_3d_backprop_phase_real():
myframe = sys._getframe()
myname = myframe.f_code.co_name
print("running ", myname)
sino, angles = create_test_sino_3d()
parameters = get_test_parameter_set(2)
# reference
rref = list()
for p in parameters:
fref = odtbrain._Back_3D.backpropagate_3d(sino, angles, padval=0, dtype=np.float64, onlyreal=True, **p)
rref.append(cutout(fref))
dataref = np.array(rref).flatten().view(float)
r = list()
for p in parameters:
f = odtbrain._Back_3D_tilted.backpropagate_3d_tilted(
sino, angles, padval=0, dtype=np.float64, onlyreal=True, **p
)
r.append(cutout(f))
data = np.array(r).flatten().view(float)
assert np.allclose(data, dataref)
def test_back3d():
myframe = sys._getframe()
myname = myframe.f_code.co_name
print("running ", myname)
sino, angles = create_test_sino_3d(Nx=10, Ny=10)
parameters = get_test_parameter_set(2)
# complex
r = list()
for p in parameters:
f = odtbrain._Back_3D.backpropagate_3d(sino, angles, padval=0,
dtype=np.float64,
save_memory=False, **p)
r.append(f)
# real
r2 = list()
for p in parameters:
f = odtbrain._Back_3D.backpropagate_3d(sino, angles, padval=0,
dtype=np.float64,
save_memory=True, **p)
r2.append(f)
assert np.allclose(np.array(r), np.array(r2))
def test_correct_counter():
count = mp.Value("I", lock=True)
max_count = mp.Value("I", lock=True)
sino, angles = create_test_sino_3d(Nx=10, Ny=10)
p = get_test_parameter_set(1)[0]
f = odtbrain.backpropagate_3d(sino,
angles,
padval=0,
dtype=np.float64,
copy=False,
**p)
odtbrain.apple.correct(f=f,
res=p["res"],
nm=p["nm"],
enforce_envelope=.95,
max_iter=100,
min_diff=0.01,
count=count,
max_count=max_count)
assert count.value == max_count.value
def test_3d_backprop_nopadreal():
"""
- no padding
- only real result
"""
platform.system = lambda: "Windows"
myframe = sys._getframe()
sino, angles = create_test_sino_3d()
parameters = get_test_parameter_set(2)
r = list()
for p in parameters:
f = odtbrain.backpropagate_3d(sino,
angles,
padding=(False, False),
dtype=np.float64,
onlyreal=True,
**p)
r.append(cutout(f))
if WRITE_RES:
write_results(myframe, r)
data = np.array(r).flatten().view(float)
assert np.allclose(data, get_results(myframe))
