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import pytest
from polsarpro.decompositions import (
h_a_alpha,
freeman,
yamaguchi3,
yamaguchi4,
tsvm,
vanzyl,
cameron,
)
@pytest.mark.parametrize(
"synthetic_poldata", ["S", "C2", "C3", "C4", "T3", "T4"], indirect=True
)
def test_h_a_alpha(synthetic_poldata):
input_data = synthetic_poldata
for _, ds in input_data.items():
res = h_a_alpha(
input_data=ds,
boxcar_size=[5, 5],
flags=("alpha", "entropy", "anisotropy", "betas"),
)
var = "hh" if "hh" in ds.data_vars else "m11"
shp = ds[var].shape
assert all((res[it].shape == shp for it in ["entropy", "alpha", "anisotropy"]))
assert res.betas.shape == shp + (3,)
assert all(
(
res[it].dtype == "float32"
for it in ["entropy", "alpha", "anisotropy", "betas"]
)
)
@pytest.mark.parametrize("synthetic_poldata", ["S", "C3", "T3"], indirect=True)
@pytest.mark.filterwarnings("ignore:invalid")
def test_freeman(synthetic_poldata):
input_data = synthetic_poldata
for _, ds in input_data.items():
# uses dask specific functions and cannot be run on numpy arrays
ds = ds.chunk("auto")
res = freeman(
input_data=ds,
boxcar_size=[5, 5],
)
var = "hh" if "hh" in ds.data_vars else "m11"
shp = ds[var].shape
assert all((res[it].shape == shp for it in ["odd", "double", "volume"]))
assert all((res[it].dtype == "float32" for it in ["odd", "double", "volume"]))
@pytest.mark.parametrize("synthetic_poldata", ["S", "C3", "T3"], indirect=True)
@pytest.mark.filterwarnings("ignore:invalid")
def test_yamaguchi3(synthetic_poldata):
input_data = synthetic_poldata
for _, ds in input_data.items():
# uses dask specific functions and cannot be run on numpy arrays
ds = ds.chunk("auto")
res = yamaguchi3(
input_data=ds,
boxcar_size=[5, 5],
)
var = "hh" if "hh" in ds.data_vars else "m11"
shp = ds[var].shape
assert all((res[it].shape == shp for it in ["odd", "double", "volume"]))
assert all((res[it].dtype == "float32" for it in ["odd", "double", "volume"]))
@pytest.mark.parametrize("synthetic_poldata", ["S", "C3", "T3"], indirect=True)
@pytest.mark.filterwarnings("ignore:invalid")
def test_yamaguchi4(synthetic_poldata):
input_data = synthetic_poldata
for _, ds in input_data.items():
for mode in ["y4o", "y4r", "s4r"]:
# uses dask specific functions and cannot be run on numpy arrays
ds = ds.chunk("auto")
res = yamaguchi4(input_data=ds, boxcar_size=[5, 5], mode=mode)
var = "hh" if "hh" in ds.data_vars else "m11"
shp = ds[var].shape
assert all(
(res[it].shape == shp for it in ["odd", "double", "volume", "helix"])
)
assert all(
(
res[it].dtype == "float32"
for it in ["odd", "double", "volume", "helix"]
)
)
@pytest.mark.parametrize("synthetic_poldata", ["S", "C3", "T3"], indirect=True)
def test_tsvm(synthetic_poldata):
input_data = synthetic_poldata
# input flags and corresponding output names
in_out = {
"alpha_phi_tau_psi": ("alpha_s", "phi_s", "tau_m", "psi"),
"alpha": ("alpha_s1", "alpha_s2", "alpha_s3"),
"phi": ("phi_s1", "phi_s2", "phi_s3"),
"tau": ("tau_m1", "tau_m2", "tau_m3"),
"psi": ("psi1", "psi2", "psi3"),
}
for _, ds in input_data.items():
res = tsvm(
input_data=ds,
boxcar_size=[5, 5],
flags=tuple(in_out.keys()),
)
var = "hh" if "hh" in ds.data_vars else "m11"
shp = ds[var].shape
for flag in in_out:
for name in in_out[flag]:
assert res[name].dtype == "float32"
assert res[name].shape == shp
@pytest.mark.parametrize("synthetic_poldata", ["S", "C3", "T3"], indirect=True)
@pytest.mark.filterwarnings("ignore:invalid")
def test_vanzyl(synthetic_poldata):
input_data = synthetic_poldata
for _, ds in input_data.items():
# uses dask specific functions and cannot be run on numpy arrays
ds = ds.chunk("auto")
res = vanzyl(
input_data=ds,
boxcar_size=[5, 5],
)
var = "hh" if "hh" in ds.data_vars else "m11"
shp = ds[var].shape
assert all((res[it].shape == shp for it in ["odd", "double", "volume"]))
assert all((res[it].dtype == "float32" for it in ["odd", "double", "volume"]))
@pytest.mark.parametrize("synthetic_poldata", ["S"], indirect=True)
def test_cameron(synthetic_poldata):
input_data = synthetic_poldata
for _, ds in input_data.items():
input_data = ds.chunk(x=64, y=64)
res = cameron(input_data=input_data)
var = "hh" if "hh" in ds.data_vars else "m11"
shp = ds[var].shape
assert res["cameron"].shape == shp
assert res["cameron"].dtype == "int32"
|
