def test_compute_uninitialized(
hind_ds_initialized_1d,
reconstruction_ds_1d,
hist_ds_uninitialized_1d,
metric,
comparison,
):
"""
Checks that compute uninitialized works without breaking.
"""
category_edges = np.array([0.0, 0.5, 1.0])
if metric == "contingency":
metric_kwargs = {
"forecast_category_edges": category_edges,
"observation_category_edges": category_edges,
"score": "accuracy",
}
else:
metric_kwargs = {}
res = (compute_uninitialized(hind_ds_initialized_1d,
hist_ds_uninitialized_1d,
reconstruction_ds_1d,
metric=metric,
comparison=comparison,
**metric_kwargs).isnull().any())
for var in res.data_vars:
assert not res[var]
def test_compute_uninitialized_alignment(hind_ds_initialized_1d,
reconstruction_ds_1d,
hist_ds_uninitialized_1d, alignment):
"""Tests that compute_uninitialized works for various alignments."""
res = (compute_uninitialized(
hind_ds_initialized_1d,
hist_ds_uninitialized_1d,
reconstruction_ds_1d,
metric="pr",
comparison="e2o",
alignment=alignment,
).isnull().any())
for var in res.data_vars:
assert not res[var]
def test_compute_uninitialized_same_verifs(hind_ds_initialized_1d,
reconstruction_ds_1d,
hist_ds_uninitialized_1d):
"""Tests that uninitialized skill is same at all leads for `same_verifs`
alignment."""
res = compute_uninitialized(
hind_ds_initialized_1d,
hist_ds_uninitialized_1d,
reconstruction_ds_1d,
metric="pr",
comparison="e2o",
alignment="same_verifs",
).to_array()
assert ((res - res[0]) == 0).all()
def test_compute_uninitialized_same_verifs(
hind_da_initialized_1d, reconstruction_da_1d, hist_da_uninitialized_1d
):
"""Tests that uninitialized skill is same at all leads for `same_verifs`
alignment."""
res = compute_uninitialized(
hind_da_initialized_1d,
hist_da_uninitialized_1d,
reconstruction_da_1d,
metric='pr',
comparison='e2o',
alignment='same_verifs',
)
assert ((res - res[0]) == 0).all()
def test_compute_uninitialized(
hind_ds_initialized_1d,
reconstruction_ds_1d,
hist_ds_uninitialized_1d,
metric,
comparison,
):
"""
Checks that compute uninitialized works without breaking.
"""
res = (
compute_uninitialized(
hind_ds_initialized_1d,
hist_ds_uninitialized_1d,
reconstruction_ds_1d,
metric=metric,
comparison=comparison,
)
.isnull()
.any()
)
for var in res.data_vars:
assert not res[var]