def test_getitem_identifier():
size = 20
pha = np.repeat(np.linspace(0, 10, size), size)
pha = pha.reshape(size, size)
qpi1 = qpimage.QPImage(data=1.1 * pha,
which_data="phase",
meta_data={"identifier": "peter"})
qpi2 = qpimage.QPImage(data=1.2 * pha,
which_data="phase",
meta_data={"identifier": "hans"})
qpi3 = qpimage.QPImage(data=1.3 * pha,
which_data="phase",
meta_data={"identifier": "doe"})
series = qpimage.QPSeries(qpimage_list=[qpi1, qpi2, qpi3])
assert "peter" in series
assert "peter_bad" not in series
assert series["peter"] == qpi1
assert series["peter"] != qpi2
assert series["hans"] == qpi2
assert series["doe"] == qpi3
try:
series["john"]
except KeyError:
pass
else:
assert False, "'john' is not in series"
try:
series.add_qpimage(qpi1)
except ValueError:
pass
else:
assert False, "Adding QPImage with same identifier should not work"
def test_getitem():
size = 20
pha = np.repeat(np.linspace(0, 10, size), size)
pha = pha.reshape(size, size)
qpi1 = qpimage.QPImage(data=1.1 * pha, which_data="phase")
qpi2 = qpimage.QPImage(data=1.2 * pha, which_data="phase")
qpi3 = qpimage.QPImage(data=1.3 * pha, which_data="phase")
series = qpimage.QPSeries(qpimage_list=[qpi1, qpi2, qpi3])
assert qpi1 != qpi2
assert qpi1 != qpi3
assert series[0] == qpi1
assert series[1] == qpi2
assert series[2] == qpi3
assert series[-3] == qpi1
assert series[-2] == qpi2
assert series[-1] == qpi3
try:
series[-4]
except ValueError:
pass
else:
assert False, "Negative index exceeds size."
def test_series_meta():
h5file = pathlib.Path(__file__).parent / "data" / "bg_tilt.h5"
try:
qpimage.QPImage(h5file=h5file,
meta_data={"wavelength": 333e-9},
h5mode="r")
except OSError:
# no write intent on file
pass
else:
assert False, "should not be able to write"
qpi0 = qpimage.QPImage(h5file=h5file, h5mode="r")
tf = tempfile.mktemp(suffix=".h5", prefix="qpimage_test_")
tf = pathlib.Path(tf)
with qpi0.copy(h5file=tf):
pass
qpi1 = qpimage.QPImage(h5file=tf,
meta_data={"wavelength": 335e-9})
assert qpi1.meta["wavelength"] == 335e-9
qps = qpimage.QPSeries(qpimage_list=[qpi1], meta_data={
"wavelength": 400e-9})
assert qps.get_qpimage(0).meta["wavelength"] == 400e-9
# cleanup
try:
tf.unlink()
except OSError:
pass
def test_qpimage_copy_to_file():
h5file = pathlib.Path(__file__).parent / "data" / "bg_tilt.h5"
qpi = qpimage.QPImage(h5file=h5file, h5mode="r")
tf = tempfile.mktemp(suffix=".h5", prefix="qpimage_test_")
with qpi.copy(h5file=tf) as qpi2:
assert np.allclose(qpi.pha, qpi2.pha)
assert qpi.meta == qpi2.meta
assert not np.allclose(qpi2.bg_pha, 0)
qpi2.clear_bg(which_data="phase", keys="fit")
assert np.allclose(qpi2.bg_pha, 0)
with qpimage.QPImage(h5file=tf, h5mode="r") as qpi3:
assert np.allclose(qpi3.bg_pha, 0)
# override h5 file
with h5py.File(tf, mode="a") as h54:
with qpimage.QPImage(h5file=h54) as qpi4:
assert np.allclose(qpi4.bg_pha, 0)
qpi.copy(h5file=h54)
with qpimage.QPImage(h5file=h54) as qpi5:
assert not np.allclose(qpi5.bg_pha, 0)
try:
os.remove(tf)
except OSError:
pass
def test_attributes():
size = 200
phase = np.repeat(np.linspace(0, np.pi, size), size)
phase = phase.reshape(size, size)
bgphase = np.sqrt(np.abs(phase))
qpi = qpimage.QPImage(phase, bg_data=bgphase, which_data="phase")
try:
qpimage.integrity_check.check(qpi, checks="attributes")
except qpimage.integrity_check.IntegrityCheckError:
pass
else:
assert False, "should raise error, b/c no attributes present"
qpi2 = qpimage.QPImage(phase,
bg_data=bgphase,
which_data="phase",
meta_data={
"medium index": 1.335,
"pixel size": 0.1,
"time": 0.0,
"wavelength": 10e-9,
})
qpimage.integrity_check.check(qpi2)
def test_identifier_qpimage():
size = 20
pha = np.repeat(np.linspace(0, 10, size), size)
pha = pha.reshape(size, size)
qpi1 = qpimage.QPImage(data=1.1 * pha, which_data="phase")
qpi2 = qpimage.QPImage(data=1.2 * pha, which_data="phase")
qpi3 = qpimage.QPImage(data=1.3 * pha, which_data="phase")
series = qpimage.QPSeries(qpimage_list=[qpi1, qpi2])
series.add_qpimage(qpi=qpi3, identifier="hastalavista")
assert series[2]["identifier"] == "hastalavista"
def test_qpimage_copy_method():
h5file = pathlib.Path(__file__).parent / "data" / "bg_tilt.h5"
tf = tempfile.mktemp(suffix=".h5", prefix="qpimage_test_")
qpimage.core.copyh5(inh5=h5file, outh5=tf)
qpi1 = qpimage.QPImage(h5file=h5file, h5mode="r")
qpi2 = qpimage.QPImage(h5file=tf, h5mode="r")
assert np.allclose(qpi1.pha, qpi2.pha)
assert qpi1.meta == qpi2.meta
try:
os.remove(tf)
except OSError:
pass
def test_border_m():
size = 200
rsobj = np.random.RandomState(47)
data = rsobj.normal(loc=.4, scale=.1, size=(size, size))
pixel_size = .1e-6 # 1px = .1µm
border_px = 5
border_m = border_px * pixel_size
qpi = qpimage.QPImage(data=data, which_data="phase")
qpi.compute_bg(which_data="phase",
fit_offset="mean",
fit_profile="offset",
border_px=5)
data_px = qpi.pha
qpi.compute_bg(which_data="phase",
fit_offset="mean",
fit_profile="offset",
border_px=6)
data_px_false = qpi.pha
# Make sure different borders yield different results
assert not np.all(data_px == data_px_false)
# Make sure QPImage needs the "pixel size" meta data
try:
qpi.compute_bg(which_data="phase",
fit_offset="mean",
fit_profile="offset",
border_m=border_m)
except meta.MetaDataMissingError:
pass
else:
assert False, "meta data required"
# Create an instance with the correct pixel size
qpi2 = qpimage.QPImage(data=data,
which_data="phase",
meta_data={"pixel size": pixel_size})
qpi2.compute_bg(which_data="phase",
fit_offset="mean",
fit_profile="offset",
border_m=border_m)
assert np.all(data_px == qpi2.pha)
# Also test with rounding
qpi2.compute_bg(which_data="phase",
fit_offset="mean",
fit_profile="offset",
border_m=border_m * 1.05)
assert np.all(data_px == qpi2.pha)
qpi2.compute_bg(which_data="phase",
fit_offset="mean",
fit_profile="offset",
border_m=border_m * .95)
assert np.all(data_px == qpi2.pha)
def test_repr():
# make sure no errors when printing repr
size = 200
phase = np.repeat(np.linspace(0, np.pi, size), size)
phase = phase.reshape(size, size)
qpi = qpimage.QPImage(phase, which_data="phase",
meta_data={"wavelength": 550e-9})
print(qpi)
qpi2 = qpimage.QPImage(phase, which_data="phase",
meta_data={"wavelength": .1})
print(qpi2)
print(qpi._pha)
print(qpi._amp)
def test_background_fit():
size = 200
phase = np.repeat(np.linspace(0, np.pi, size), size)
phase = phase.reshape(size, size)
tf = tempfile.mktemp(suffix=".h5", prefix="qpimage_test_")
with qpimage.QPImage(phase, which_data="phase", h5file=tf) as qpi:
qpi.compute_bg(which_data="phase",
fit_offset="fit",
fit_profile="tilt",
border_px=5)
with h5py.File(tf, "a") as h5:
h5["phase"]["bg_data"]["fit"][:10] = 9
try:
qpimage.integrity_check.check(tf, checks="background")
except qpimage.integrity_check.IntegrityCheckError:
pass
else:
assert False, "wrong bg saved should not work"
# cleanup
try:
os.remove(tf)
except OSError:
pass
def test_bg_correction_index():
qpi, path, dout = setup_test_data(num=2)
path_out = drymass.convert(path_in=path,
dir_out=dout,
bg_data_amp=1,
bg_data_pha=1)
with qpimage.QPSeries(h5file=path_out, h5mode="r") as qps:
# background correction with same input image will result
# in a flat QPImage.
assert np.all(qps[0].pha == 0)
assert np.all(qps[0].amp == 1)
# To be absolutely sure this works, append a blank
# QPImage and do it again.
with qpimage.QPSeries(h5file=path, h5mode="a") as qps:
pha = .5 * np.ones(qps[0].shape)
amp = .9 * np.ones(qps[0].shape)
qps.add_qpimage(
qpimage.QPImage(data=(pha, amp), which_data="phase,amplitude"))
path_out = drymass.convert(path_in=path,
dir_out=dout,
bg_data_amp=3,
bg_data_pha=3)
with qpimage.QPSeries(h5file=path_out, h5mode="r") as qps:
# background correction with same input image will result
# in a flat QPImage.
assert np.allclose(qps[0].pha, qpi.pha - .5)
assert np.allclose(qps[0].amp, qpi.amp / .9)
def test_iter():
h5file = pathlib.Path(__file__).parent / "data" / "bg_tilt.h5"
qpi = qpimage.QPImage(h5file=h5file, h5mode="r")
series = qpimage.QPSeries(qpimage_list=[qpi, qpi, qpi])
for qpj in series:
assert qpj == qpi
def test_qpimage_copy_to_mem():
h5file = pathlib.Path(__file__).parent / "data" / "bg_tilt.h5"
qpi = qpimage.QPImage(h5file=h5file, h5mode="r")
# create an in-memory copy
qpi2 = qpi.copy()
assert np.allclose(qpi.pha, qpi2.pha)
assert qpi.meta == qpi2.meta
def test_clear_bg():
size = 50
pha = np.repeat(np.linspace(0, 10, size), size)
pha = pha.reshape(size, size)
amp = np.linspace(.95, 1.05, size**2).reshape(size, size)
bg_amp = np.linspace(.93, 1.02, size**2).reshape(size, size)
bg_pha = pha * .5
qpi = qpimage.QPImage(data=(pha, amp),
bg_data=(bg_pha, bg_amp),
which_data="phase,amplitude",
h5dtype="float64")
# amplitude
assert np.all(qpi.bg_amp == bg_amp)
qpi.clear_bg(which_data="amplitude", keys="data")
assert np.allclose(qpi.bg_amp, 1)
qpi.compute_bg(which_data="amplitude",
fit_offset="fit",
fit_profile="tilt",
border_px=5)
assert not np.allclose(qpi.bg_amp, 1)
qpi.clear_bg(which_data="amplitude", keys="fit")
assert np.allclose(qpi.bg_amp, 1)
# phase
assert np.all(qpi.bg_pha == bg_pha)
qpi.clear_bg(which_data="phase", keys="data")
def test_border_perc():
size = 200
rsobj = np.random.RandomState(47)
data = rsobj.normal(loc=.4, scale=.1, size=(size, size))
qpi = qpimage.QPImage(data=data, which_data="phase")
qpi.compute_bg(which_data="phase",
fit_offset="mean",
fit_profile="offset",
border_px=5)
data_px = qpi.pha
qpi.compute_bg(which_data="phase",
fit_offset="mean",
fit_profile="offset",
border_perc=2.5)
assert np.all(qpi.pha == data_px)
# rounding
qpi.compute_bg(which_data="phase",
fit_offset="mean",
fit_profile="offset",
border_perc=2.4)
assert np.all(qpi.pha == data_px)
qpi.compute_bg(which_data="phase",
fit_offset="mean",
fit_profile="offset",
border_perc=2.1) # 4px
assert not np.all(qpi.pha == data_px)
def setup_test_data(radius_px=30, size=200, pxsize=1e-6, medium_index=1.335,
wavelength=550e-9, num=1):
x = np.arange(size).reshape(-1, 1)
y = np.arange(size).reshape(1, -1)
cx = 80
cy = 120
r = np.sqrt((x - cx)**2 + (y - cy)**2)
pha = (r < radius_px) * 1.3
amp = .5 + np.roll(pha, 10) / pha.max()
qpi = qpimage.QPImage(data=(pha, amp),
which_data="phase,amplitude",
meta_data={"pixel size": pxsize,
"medium index": medium_index,
"wavelength": wavelength})
path_in = tempfile.mktemp(suffix=".h5", prefix="drymass_test_cli_sphere")
path_in = pathlib.Path(path_in)
with qpimage.QPSeries(h5file=path_in, h5mode="w", identifier="tt") as qps:
for ii in range(num):
qps.add_qpimage(qpi, identifier="image_{}".format(ii))
# add drymass configuration file
path_out = path_in.with_name(path_in.name + dialog.OUTPUT_SUFFIX)
path_out.mkdir()
cfg = config.ConfigFile(path_out)
cfg.set_value(section="meta", key="pixel size um", value=pxsize*1e6)
cfg.set_value(section="meta", key="wavelength nm", value=wavelength*1e9)
cfg.set_value(section="meta", key="medium index", value=medium_index)
cfg.set_value(section="specimen", key="size um",
value=radius_px*2*pxsize*1e6)
cfg.set_value(section="sphere", key="method", value="edge")
cfg.set_value(section="sphere", key="model", value="projection")
return qpi, path_in, path_out
def setup_test_data(radius_px=30,
size=200,
pxsize=1e-6,
medium_index=1.335,
wavelength=550e-9,
num=1):
x = np.arange(size).reshape(-1, 1)
y = np.arange(size).reshape(1, -1)
cx = 80
cy = 120
r = np.sqrt((x - cx)**2 + (y - cy)**2)
pha = (r < radius_px) * 1.3
amp = .5 + np.roll(pha, 10) / pha.max()
qpi = qpimage.QPImage(data=(pha, amp),
which_data="phase,amplitude",
meta_data={
"pixel size": pxsize,
"medium index": medium_index,
"wavelength": wavelength
})
path = tempfile.mktemp(suffix=".h5", prefix="drymass_test_convert")
dout = tempfile.mkdtemp(prefix="drymass_test_sphere_")
with qpimage.QPSeries(h5file=path, h5mode="w") as qps:
for ii in range(num):
qps.add_qpimage(qpi, identifier="test_{}".format(ii))
return qpi, path, dout
def test_bg_overlap():
size = 200
x = np.arange(size).reshape(-1, 1)
y = np.arange(size).reshape(1, -1)
# 5 px between regions
cx1 = 100
cy1 = 100
cx2 = 100
cy2 = 145
radius = 20
r1 = np.sqrt((x - cx1)**2 + (y - cy1)**2)
r2 = np.sqrt((x - cx2)**2 + (y - cy2)**2)
raw_pha = (r1 < radius) * 1.3
bg_pha = (r2 < radius) * 1.2
# create data set
qpi = qpimage.QPImage(data=raw_pha,
bg_data=bg_pha,
which_data="phase",
meta_data={"pixel size": 1e-6})
slices1 = search.search_phase_objects(qpi=qpi,
size_m=2 * radius *
qpi["pixel size"],
exclude_overlap=0)
slices2 = search.search_phase_objects(qpi=qpi,
size_m=2 * radius * 1e-6,
exclude_overlap=10)
assert len(slices1) == 1
assert len(slices2) == 0
def setup_test_data(radius=30,
pxsize=1e-6,
size=200,
cx=80,
cy=120,
num=1,
identifier=None,
medium_index=1.335,
wavelength=550e-9,
bg=None):
x = np.arange(size).reshape(-1, 1)
y = np.arange(size).reshape(1, -1)
r = np.sqrt((x - cx)**2 + (y - cy)**2)
image = (r < radius) * 1.3
if bg is not None:
image += bg
qpi = qpimage.QPImage(data=image,
which_data="phase",
meta_data={
"pixel size": pxsize,
"medium index": medium_index,
"wavelength": wavelength
})
path = tempfile.mktemp(suffix=".h5", prefix="drymass_test_roi")
dout = tempfile.mkdtemp(prefix="drymass_test_roi_")
with qpimage.QPSeries(h5file=path, identifier=identifier) as qps:
for ii in range(num):
qpid = "{}_test_{}".format(identifier, ii)
qps.add_qpimage(qpi, identifier=qpid)
return qpi, path, dout
def test_properties():
size = 50
pha = np.repeat(np.linspace(0, 10, size), size)
pha = pha.reshape(size, size)
amp = np.linspace(.95, 1.05, size**2).reshape(size, size)
bg_amp = np.linspace(.93, 1.02, size**2).reshape(size, size)
bg_pha = pha * .5
qpi = qpimage.QPImage((pha, amp),
bg_data=(bg_pha, bg_amp),
which_data="phase,amplitude",
h5dtype="float64")
assert np.all(qpi.bg_amp == bg_amp)
assert np.all(qpi.bg_pha == bg_pha)
assert np.iscomplexobj(qpi.field)
fval = -0.46418608511978926 + 0.91376822116221712j
assert np.allclose(qpi.field[20, 20], fval)
assert qpi.shape == (size, size)
qpi.compute_bg(which_data=["phase", "amplitude"],
fit_offset="fit",
fit_profile="tilt",
border_px=5)
assert not np.all(qpi.bg_amp == bg_amp)
assert not np.all(qpi.bg_pha == bg_pha)
def handle_event(self, event_data):
"""Handle a new event"""
# retrieve the hologram image
# here is just an example, as our rtdc file does
# not have a hologram, so we use a fake dataset (see above)
event_data.images[0] # should be the hologram
# create some fake noise
noise = np.random.rand(img_crop.shape[-1], img_crop.shape[-2])
# use qpimage to process the hologram
qpi = qpimage.QPImage(data=img_crop + noise, which_data="hologram")
field = qpi.field
# example nrefocus parameters
# would be faster if this interval was smaller, see the tests
focus_range = (20e-6, 30e-6)
pixel_size = 0.34e-6
light_wavelength = 532e-9
# use nrefocus to calculate autofocus
afocus = nrefocus.RefocusPyFFTW(field,
light_wavelength,
pixel_size,
padding=False)
focus_distance = afocus.autofocus(focus_range)
# send to objective the absolute focus value
# this value must first be calibrated with the z-stage
# via a log file? Write the focus values to log?
# emulate here with print
print(focus_distance)
return False
def setup_test_data(radius_px=30,
size=200,
pxsize=1e-6,
medium_index=1.335,
wavelength=550e-9,
num=1):
x = np.arange(size).reshape(-1, 1)
y = np.arange(size).reshape(1, -1)
cx = 80
cy = 120
r = np.sqrt((x - cx)**2 + (y - cy)**2)
image = (r < radius_px) * 1.3
qpi = qpimage.QPImage(data=image,
which_data="phase",
meta_data={
"pixel size": pxsize,
"medium index": medium_index,
"wavelength": wavelength
})
path = tempfile.mktemp(suffix=".h5", prefix="drymass_test_sphere")
dout = tempfile.mkdtemp(prefix="drymass_test_sphere_")
identifier = "abcdef:123456:a1b2c3"
with qpimage.QPSeries(h5file=path, identifier=identifier) as qps:
for ii in range(num):
qps.add_qpimage(qpi, identifier="test_{}".format(ii))
return qpi, path, dout
def test_bad_keys_error():
size = 200
phase = np.repeat(np.linspace(0, np.pi, size), size)
phase = phase.reshape(size, size)
bgphase = np.sqrt(np.abs(phase))
qpi = qpimage.QPImage(phase, bg_data=bgphase, which_data="phase")
clspha = qpi._pha
try:
clspha.del_bg("peter")
except ValueError:
pass
else:
assert False
try:
clspha.get_bg("peter")
except ValueError:
pass
else:
assert False
try:
clspha.set_bg(bg=None, key="peter")
except ValueError:
pass
else:
assert False
def test_use_meta_data_from_experiment():
tmp_path = pathlib.Path(tempfile.mkdtemp())
# create test dataset
radius_px = 30
size = 200
pxsize = 1e-6
wavelength = 512e-9
medium_index = 1.33123
x = np.arange(size).reshape(-1, 1)
y = np.arange(size).reshape(1, -1)
cx = 80
cy = 120
r = np.sqrt((x - cx)**2 + (y - cy)**2)
pha = (r < radius_px) * 1.3
amp = .5 + np.roll(pha, 10) / pha.max()
qpi_path = tmp_path / "test.h5"
with qpimage.QPImage(data=(pha, amp),
which_data="phase,amplitude",
h5file=qpi_path,
meta_data={
"pixel size": pxsize,
"wavelength": wavelength,
"medium index": medium_index
}):
pass
# this must run without any user input required
pin, pout = dialog.main(
path=qpi_path,
req_meta=["pixel size um", "wavelength nm", "medium index"],
)
assert str(pin) == str(qpi_path.resolve())
cfg = config.ConfigFile(path=pout)
assert cfg["meta"]["medium index"] == medium_index
assert cfg["meta"]["pixel size um"] == pxsize * 1e6
assert cfg["meta"]["wavelength nm"] == wavelength * 1e9
def handle_event(self, event_data: EventData) -> bool:
"""Check that the chosen features were transferred"""
# retrieve the hologram image
# here is just an example, as our rtdc file does
# not have a hologram, so we use a fake dataset (see above)
event_data.images[0] # should be the hologram
# use qpimage to process the hologram
qpi = qpimage.QPImage(data=self.hologram, which_data="hologram")
field = qpi.field
# example nrefocus parameters
if self.coarse_search:
focus_range = (20.0e-6, 30.0e-6)
else:
focus_range = (26.0e-6, 26.3e-6)
pixel_size = 0.34e-6
light_wavelength = 532e-9
default_focus = 0
# use nrefocus to calculate autofocus
afocus = nrefocus.RefocusPyFFTW(
field, light_wavelength, pixel_size,
distance=default_focus, padding=False)
focus_distance = afocus.autofocus(focus_range)
assert np.isclose(focus_distance, 2.61756e-05)
return False
def test_info():
size = 50
data = np.zeros((size, size), dtype=float)
mask = np.zeros_like(data, dtype=bool)
mask[::2, ::2] = True
qpi = qpimage.QPImage(data=data,
which_data="phase",
meta_data={
"wavelength": 300e-9,
"pixel size": .12e-6,
})
# mask with border
qpi.compute_bg(which_data="phase",
fit_offset="mean",
fit_profile="offset",
from_mask=mask,
border_px=5)
info_dict = dict(qpi.info)
assert 'phase background from mask' in info_dict
assert 'amplitude background from mask' not in info_dict
assert info_dict["phase background fit_offset"] == "mean"
assert info_dict["phase background border_px"] == 5
qpi.compute_bg(which_data="amplitude",
fit_offset="mean",
fit_profile="offset",
border_px=5)
info_dict2 = dict(qpi.info)
assert not info_dict2['amplitude background from mask']
def test_equals():
h5file = pathlib.Path(__file__).parent / "data" / "bg_tilt.h5"
qpi = qpimage.QPImage(h5file=h5file, h5mode="r")
qpi1 = qpi.copy()
assert qpi1 == qpi
qpi1["wavelength"] = 123
assert qpi1 != qpi
# change phase data
qpi2 = qpi.copy()
qpi2.compute_bg(which_data="phase",
fit_offset="mean",
fit_profile="offset",
border_perc=10)
# change amplitude data
qpi3 = qpi.copy()
qpi3.set_bg_data(bg_data=.01 + qpi3.amp, which_data="field")
assert qpi3 != qpi
# change identifier (still same data)
qpi4 = qpi.copy()
qpi4["identifier"] = "test"
assert qpi4 == qpi
def test_poly2o():
"""simple 2nd order polynomial test
"""
size = 40
mx = .5
my = -.3
mxy = .1
ax = -.05
ay = .04
x = np.linspace(-10, 10, size).reshape(-1, 1)
y = np.linspace(-10, 10, size).reshape(1, -1)
off = 1
phase = off \
+ ax * x ** 2 \
+ ay * y ** 2 \
+ mx * x \
+ my * y \
+ mxy * x * y
qpi = qpimage.QPImage(data=phase, which_data="phase", h5dtype="float64")
qpi.compute_bg(which_data="phase",
fit_profile="poly2o",
from_mask=np.ones_like(phase, dtype=bool))
assert not np.allclose(phase, 0, atol=1e-14, rtol=0)
assert np.allclose(qpi.pha, 0, atol=1e-14, rtol=0)
def test_series_hdf5_hardlink_bg():
# save compression
compr = qpimage.image_data.COMPRESSION.copy()
# disable compression
qpimage.image_data.COMPRESSION = {}
# start test
size = 200
phase = np.repeat(np.linspace(0, np.pi, size), size)
phase = phase.reshape(size, size)
bgphase = np.sqrt(np.abs(phase)) + .4
qpi1 = qpimage.QPImage(data=phase, which_data="phase",
bg_data=bgphase, h5dtype="float64")
qpi2 = qpimage.QPImage(data=phase, which_data="phase", h5dtype="float64")
tf = tempfile.mktemp(suffix=".h5", prefix="qpimage_test_hardlink_")
tf = pathlib.Path(tf)
with qpimage.QPSeries(h5file=tf, h5mode="w") as qps:
qps.h5.flush()
s_init = tf.stat().st_size
qps.add_qpimage(qpi1)
qps.h5.flush()
s_bg1 = tf.stat().st_size
qps.add_qpimage(qpi2, bg_from_idx=0)
qps.h5.flush()
s_bg2 = tf.stat().st_size
qps.add_qpimage(qpi1)
qps.h5.flush()
s_bg3 = tf.stat().st_size
qpih = qps[1].copy()
assert s_bg2 - s_bg1 < .51 * (s_bg1 - s_init)
assert s_bg2 - s_bg1 < .51 * (s_bg3 - s_bg2)
assert np.allclose(qpih.pha, qpi1.pha)
assert not np.allclose(qpih.pha, qpi2.pha)
# restore compression
qpimage.image_data.COMPRESSION = compr
# cleanup
try:
tf.unlink()
except OSError:
pass
def test_get_amp_pha_nan():
size = 50
pha = np.repeat(np.linspace(0, 10, size), size)
pha = pha.reshape(size, size)
phanan = pha.copy()
phanan[:4] = np.nan
qpi = qpimage.QPImage(phanan, which_data="phase")
assert np.allclose(qpi.pha, phanan, equal_nan=True)