def test_cube_attr_rms_two_surfaces_compare_window(load_cube_rsgy1):
"""Get cube attribute (rms) between two surfaces, and compare with
window."""
xs1 = RegularSurface(rtop1)
xs2 = xs1.copy()
xs2.values += 30
kube = load_cube_rsgy1
xss1 = xs1.copy()
xss1.slice_cube_window(kube,
other=xs2,
other_position='below',
attribute='rms',
sampling='trilinear')
xss2 = xs1.copy()
xss2.values += 15
xss2.slice_cube_window(kube,
zrange=15,
attribute='rms',
sampling='trilinear')
assert xss1.values.mean() == xss2.values.mean()
def test_cube_attr_mean_two_surfaces_multiattr(tmpdir, load_cube_rsgy1):
"""Get cube attribute (mean) between two surfaces, many attr at the same
time.
"""
logger.info("Loading surfaces {} {}".format(RTOP1, RBAS1))
xs1 = RegularSurface(RTOP1)
xs2 = RegularSurface(RBAS1)
logger.info("Loading cube {}".format(RSGY1))
kube = load_cube_rsgy1
xss = xs1.copy()
xss.slice_cube_window(
kube,
other=xs2,
other_position="below",
attribute="rms",
sampling="trilinear",
showprogress=True,
)
logger.debug(xss.values.mean())
xsx = xs1.copy()
attrs = xsx.slice_cube_window(
kube,
other=xs2,
other_position="below",
attribute=["max", "mean", "min", "rms"],
sampling="trilinear",
showprogress=True,
)
logger.debug(attrs["rms"].values.mean())
assert xss.values.mean() == attrs["rms"].values.mean()
assert xss.values.std() == attrs["rms"].values.std()
for attr in attrs.keys():
logger.info("Working with %s", attr)
xxx = attrs[attr]
xxx.to_file(join(tmpdir, "surf_slice_cube_2surf_" + attr + "multi.gri"))
minmax = (None, None)
if attr == "mean":
minmax = (-0.1, 0.1)
xxx.quickplot(
filename=join(tmpdir, "surf_slice_cube_2surf_" + attr + "multi.png"),
colortable="jet",
minmax=minmax,
title="Reek two surfs mean multiattr: " + attr,
infotext="Method: trilinear, 2 surfs multiattr " + attr,
)
def test_cube_slice_w_ignore_dead_traces_nearest():
"""Get cube slice nearest aka Auto4D input, with scrambled data with
dead traces, various YFLIP cases, ignore dead traces."""
cube1 = Cube(XCUB2)
surf1 = RegularSurface()
surf1.from_cube(cube1, 1000.1)
cells = ((18, 12), (20, 2), (0, 4))
surf1.slice_cube(cube1, deadtraces=False)
plotfile = ojn(td, "slice_nea1.png")
title = "Cube with dead traces; nearest; use just values as is"
surf1.quickplot(filename=plotfile, minmax=(-10000, 10000), title=title)
for cell in cells:
icell, jcell = cell
assert surf1.values[icell,
jcell] == pytest.approx(cube1.values[icell, jcell,
0],
abs=0.01)
assert ma.count_masked(surf1.values) == 0 # shall be no masked cells
# swap surface
surf2 = surf1.copy()
surf2.values = 1000.1
surf2.swapaxes()
surf2.slice_cube(cube1, deadtraces=False)
assert surf2.values.mean() == pytest.approx(surf1.values.mean(), rel=0.001)
# swap surface and cube
surf2 = surf1.copy()
surf2.values = 1000.1
surf2.swapaxes()
cube2 = cube1.copy()
cube2.swapaxes()
surf2.slice_cube(cube2, deadtraces=False)
assert surf2.values.mean() == pytest.approx(surf1.values.mean(), rel=0.001)
# swap cube only
surf2 = surf1.copy()
surf2.values = 1000.1
cube2 = cube1.copy()
cube2.swapaxes()
surf2.slice_cube(cube2, deadtraces=False)
assert surf2.values.mean() == pytest.approx(surf1.values.mean(), rel=0.001)
def test_cube_attr_mean_two_surfaces_multiattr(load_cube_rsgy1):
"""Get cube attribute (mean) between two surfaces, many attr at the same
time.
"""
logger.info('Loading surfaces {} {}'.format(rtop1, rbas1))
xs1 = RegularSurface(rtop1)
xs2 = RegularSurface(rbas1)
logger.info('Loading cube {}'.format(rsgy1))
kube = load_cube_rsgy1
xss = xs1.copy()
xss.slice_cube_window(kube,
other=xs2,
other_position='below',
attribute='rms',
sampling='trilinear',
showprogress=True)
logger.debug(xss.values.mean())
xsx = xs1.copy()
attrs = xsx.slice_cube_window(kube,
other=xs2,
other_position='below',
attribute=['max', 'mean', 'min', 'rms'],
sampling='trilinear',
showprogress=True)
logger.debug(attrs['rms'].values.mean())
assert xss.values.mean() == attrs['rms'].values.mean()
assert xss.values.std() == attrs['rms'].values.std()
for attr in attrs.keys():
logger.info('Working with %s', attr)
xxx = attrs[attr]
xxx.to_file(ojn(td, 'surf_slice_cube_2surf_' + attr + 'multi.gri'))
minmax = (None, None)
if attr == 'mean':
minmax = (-0.1, 0.1)
xxx.quickplot(filename=ojn(
td, 'surf_slice_cube_2surf_' + attr + 'multi.png'),
colortable='jet',
minmax=minmax,
title='Reek two surfs mean multiattr: ' + attr,
infotext='Method: trilinear, 2 surfs multiattr ' + attr)
def test_cube_attr_mean_two_surfaces_with_zeroiso(load_cube_rsgy1):
"""Get cube attribute between two surfaces with partly zero isochore."""
logger.info('Loading surfaces {} {}'.format(rtop1, rbas1))
xs1 = RegularSurface(rtop1)
xs2 = RegularSurface(rbas2)
logger.info('Loading cube {}'.format(rsgy1))
kube = load_cube_rsgy1
xss = xs1.copy()
xss.slice_cube_window(kube,
other=xs2,
other_position='below',
attribute='mean',
sampling='trilinear')
xss.to_file(td + '/surf_slice_cube_2surf_meantri.gri')
xss.quickplot(filename=td + '/surf_slice_cube_2surf_mean_v2.png',
colortable='jet',
title='Reek two surfs mean',
minmax=(-0.1, 0.1),
infotext='Method: trilinear, 2 surfs, partly zero isochore')
logger.info('Mean is {}'.format(xss.values.mean()))
def test_cube_attr_mean_two_surfaces_with_zeroiso(tmpdir, load_cube_rsgy1):
"""Get cube attribute between two surfaces with partly zero isochore."""
logger.info("Loading surfaces {} {}".format(RTOP1, RBAS1))
xs1 = RegularSurface(RTOP1)
xs2 = RegularSurface(RBAS2)
logger.info("Loading cube {}".format(RSGY1))
kube = load_cube_rsgy1
xss = xs1.copy()
xss.slice_cube_window(
kube, other=xs2, other_position="below", attribute="mean", sampling="trilinear"
)
xss.to_file(join(tmpdir, "surf_slice_cube_2surf_meantri.gri"))
xss.quickplot(
filename=join(tmpdir, "surf_slice_cube_2surf_mean_v2.png"),
colortable="jet",
title="Reek two surfs mean",
minmax=(-0.1, 0.1),
infotext="Method: trilinear, 2 surfs, partly zero isochore",
)
logger.info("Mean is {}".format(xss.values.mean()))
def test_cube_attr_mean_two_surfaces(load_cube_rsgy1):
"""Get cube attribute (mean) between two surfaces."""
logger.info("Loading surfaces {} {}".format(RTOP1, RBAS1))
xs1 = RegularSurface(RTOP1)
xs2 = RegularSurface(RBAS1)
logger.info("Loading cube {}".format(RSGY1))
kube = load_cube_rsgy1
xss = xs1.copy()
xss.slice_cube_window(kube,
other=xs2,
other_position="below",
attribute="mean",
sampling="trilinear")
xss.to_file(td + "/surf_slice_cube_2surf_meantri.gri")
xss.quickplot(
filename=td + "/surf_slice_cube_2surf_mean.png",
colortable="jet",
title="Reek two surfs mean",
minmax=(-0.1, 0.1),
infotext="Method: trilinear, 2 surfs",
)
logger.info("Mean is {}".format(xss.values.mean()))
def test_resample_small():
"""Do resampling with minimal dataset to test for various yflip etc"""
xs1 = RegularSurface(
xori=0,
yori=0,
ncol=3,
nrow=3,
xinc=100,
yinc=100,
values=-888.0,
yflip=1,
)
xs2 = RegularSurface(
xori=0,
yori=0,
ncol=3,
nrow=3,
xinc=100,
yinc=100,
values=888.0,
yflip=1,
)
xs3 = RegularSurface(
xori=0,
yori=200,
ncol=3,
nrow=3,
xinc=100,
yinc=100,
values=2888.0,
yflip=-1,
)
xsx = xs1.copy()
xsx.resample(xs2)
assert xsx.values.mean() == 888.0
xsx = xs3.copy()
xsx.resample(xs2)
assert xsx.values.mean() == 888.0
xsx = xs1.copy()
xsx.resample(xs3)
assert xsx.values.mean() == 2888.0
def test_cube_attr_rms_two_surfaces_compare_window_show(load_cube_rsgy1):
"""Get cube attribute (rms) between two surfaces, and compare with
window, and show plots."""
logger.info("Loading surfaces {} {}".format(RTOP1, RBAS1))
xs1 = RegularSurface(RTOP1)
xs2 = xs1.copy()
xs2.values += 30
logger.info("Loading cube {}".format(RSGY1))
kube = load_cube_rsgy1
xss1 = xs1.copy()
xss1.slice_cube_window(kube,
other=xs2,
other_position="below",
attribute="rms",
sampling="trilinear")
xss1.quickplot(
filename=td + "/surf_slice_cube_2surf_rms1.png",
colortable="jet",
minmax=[0, 0.5],
# TODO: itle='Reek two surfs mean', minmax=(-0.1, 0.1),
infotext="Method: trilinear, 2 surfs, 30ms apart",
)
print("\n\n{}\n".format("=" * 100))
xss2 = xs1.copy()
xss2.values += 15
xss2.slice_cube_window(kube,
zrange=15,
attribute="rms",
sampling="trilinear")
xss2.quickplot(
filename=td + "/surf_slice_cube_2surf_rms2.png",
colortable="jet",
minmax=[0, 0.5],
# TODO: itle='Reek two surfs mean', minmax=(-0.1, 0.1),
infotext="Method: trilinear, 2 surfs, +- 15ms window",
)
assert xss1.values.mean() == xss2.values.mean()
def test_cube_attr_rms_two_surfaces_compare_window_show(load_cube_rsgy1):
"""Get cube attribute (rms) between two surfaces, and compare with
window, and show plots."""
logger.info('Loading surfaces {} {}'.format(rtop1, rbas1))
xs1 = RegularSurface(rtop1)
xs2 = xs1.copy()
xs2.values += 30
logger.info('Loading cube {}'.format(rsgy1))
kube = load_cube_rsgy1
xss1 = xs1.copy()
xss1.slice_cube_window(kube,
other=xs2,
other_position='below',
attribute='rms',
sampling='trilinear')
xss1.quickplot(
filename=td + '/surf_slice_cube_2surf_rms1.png',
colortable='jet',
minmax=[0, 0.5],
# TODO: itle='Reek two surfs mean', minmax=(-0.1, 0.1),
infotext='Method: trilinear, 2 surfs, 30ms apart')
print('\n\n{}\n'.format('=' * 100))
xss2 = xs1.copy()
xss2.values += 15
xss2.slice_cube_window(kube,
zrange=15,
attribute='rms',
sampling='trilinear')
xss2.quickplot(
filename=td + '/surf_slice_cube_2surf_rms2.png',
colortable='jet',
minmax=[0, 0.5],
# TODO: itle='Reek two surfs mean', minmax=(-0.1, 0.1),
infotext='Method: trilinear, 2 surfs, +- 15ms window')
assert xss1.values.mean() == xss2.values.mean()
def test_slice_attr_window_max_w_plotting(load_cube_rsgy1):
"""Slice a cube within a window, get max/min etc, using trilinear
interpol and plotting."""
logger.info("Loading surface")
xs1 = RegularSurface(RTOP1)
xs2 = xs1.copy()
xs3 = xs1.copy()
logger.info("Loading cube")
kube = load_cube_rsgy1
t1 = xtg.timer()
xs1.slice_cube_window(kube, attribute="min", sampling="trilinear")
t2 = xtg.timer(t1)
logger.info("Window slicing... {} secs".format(t2))
xs1.quickplot(
filename=td + "/surf_slice_cube_window_min.png",
colortable="seismic",
minmax=(-1, 1),
title="Reek Minimum",
infotext="Method: trilinear, window",
)
xs2.slice_cube_window(kube,
attribute="max",
sampling="trilinear",
showprogress=True)
xs2.quickplot(
filename=td + "/surf_slice_cube_window_max.png",
colortable="seismic",
minmax=(-1, 1),
title="Reek Maximum",
infotext="Method: trilinear, window",
)
xs3.slice_cube_window(kube, attribute="rms", sampling="trilinear")
xs3.quickplot(
filename=td + "/surf_slice_cube_window_rms.png",
colortable="jet",
minmax=(0, 1),
title="Reek rms (root mean square)",
infotext="Method: trilinear, window",
)
def test_slice_attr_window_max_w_plotting(load_cube_rsgy1):
"""Slice a cube within a window, get max/min etc, using trilinear
interpol and plotting."""
logger.info('Loading surface')
xs1 = RegularSurface(rtop1)
xs2 = xs1.copy()
xs3 = xs1.copy()
logger.info('Loading cube')
kube = load_cube_rsgy1
t1 = xtg.timer()
xs1.slice_cube_window(kube, attribute='min', sampling='trilinear')
t2 = xtg.timer(t1)
logger.info('Window slicing... {} secs'.format(t2))
xs1.quickplot(filename=td + '/surf_slice_cube_window_min.png',
colortable='seismic',
minmax=(-1, 1),
title='Reek Minimum',
infotext='Method: trilinear, window')
xs2.slice_cube_window(kube,
attribute='max',
sampling='trilinear',
showprogress=True)
xs2.quickplot(filename=td + '/surf_slice_cube_window_max.png',
colortable='seismic',
minmax=(-1, 1),
title='Reek Maximum',
infotext='Method: trilinear, window')
xs3.slice_cube_window(kube, attribute='rms', sampling='trilinear')
xs3.quickplot(filename=td + '/surf_slice_cube_window_rms.png',
colortable='jet',
minmax=(0, 1),
title='Reek rms (root mean square)',
infotext='Method: trilinear, window')
def test_resample_partial_sample(tmp_path, reek_map, generate_plot):
"""Do resampling from one surface to another with partial sampling."""
sml = reek_map
# note: values is missing by purpose:
snew = RegularSurface(
ncol=round(sml.ncol * 0.6),
nrow=round(sml.nrow * 0.6),
xori=sml.xori - 2000,
yori=sml.yori + 3000,
xinc=sml.xinc * 0.6,
yinc=sml.xinc * 0.6,
rotation=sml.rotation,
yflip=sml.yflip,
)
print(sml.yflip)
logger.info(snew.values)
snew.resample(sml, mask=True)
assert snew.values.mean() == pytest.approx(1726.65)
if generate_plot:
sml.quickplot(tmp_path / "resampled_input.png")
snew.quickplot(tmp_path / "resampled_output.png")
sml.to_file(tmp_path / "resampled_input.gri")
snew.to_file(tmp_path / "resampled_output.gri")
snew2 = snew.copy()
snew2._yflip = -1
snew2._xori -= 4000
snew2._yori -= 2000
snew2.resample(sml, mask=True)
if generate_plot:
snew2.to_file(tmp_path / "resampled_output2.gri")
assert snew2.values.mean() == pytest.approx(1747.20, abs=0.2)
def test_cube_slice_w_dead_traces_nearest():
"""Get cube slice nearest aka Auto4D input, with scrambled data with
dead traces, various YFLIP cases, undef at dead traces."""
cube1 = Cube(xcub2)
surf1 = RegularSurface()
surf1.from_cube(cube1, 1000.1)
cells = ((18, 12), )
surf1.slice_cube(cube1, deadtraces=True)
plotfile = ojn(td, 'slice_nea1_dead.png')
title = 'Cube with dead traces; nearest; UNDEF at dead traces'
surf1.quickplot(filename=plotfile, minmax=(-10000, 10000), title=title)
for cell in cells:
icell, jcell = cell
assert surf1.values[icell, jcell] == cube1.values[icell, jcell, 0]
ndead = (cube1.traceidcodes == 2).sum()
print(ndead)
assert ma.count_masked(surf1.values) == ndead
# swap cube only
surf2 = surf1.copy()
surf2.values = 1000.1
cube2 = cube1.copy()
cube2.swapaxes()
surf2.slice_cube(cube2, deadtraces=True)
plotfile = ojn(td, 'slice_nea1_dead_cubeswap.png')
surf2.quickplot(filename=plotfile, minmax=(-10000, 10000))
assert ma.count_masked(surf2.values) == ndead
assert surf2.values.mean() == surf1.values.mean()
def test_resample_small():
"""Do resampling with minimal dataset to test for various yflip etc."""
xs1 = RegularSurface(
xori=0,
yori=0,
ncol=3,
nrow=3,
xinc=100,
yinc=100,
values=-888.0,
yflip=1,
)
xs2 = RegularSurface(
xori=0,
yori=0,
ncol=3,
nrow=3,
xinc=100,
yinc=100,
values=888.0,
yflip=1,
)
xs3 = RegularSurface(
xori=0,
yori=200,
ncol=3,
nrow=3,
xinc=100,
yinc=100,
values=2888.0,
yflip=-1,
)
xsx = xs1.copy()
xsx.resample(xs2)
assert list(xsx.values.data.flatten()) == [
888.0,
888.0,
888.0,
888.0,
888.0,
888.0,
888.0,
888.0,
888.0,
]
xsx = xs3.copy()
xsx.resample(xs2)
assert list(xsx.values.data.flatten()) == [
1e33,
888.0,
888.0,
1e33,
888.0,
888.0,
1e33,
1e33,
1e33,
]
xsx = xs1.copy()
xsx.resample(xs3)
assert list(xsx.values.data.flatten()) == [
1e33,
2888.0,
2888.0,
1e33,
2888.0,
2888.0,
1e33,
1e33,
1e33,
]
