def test_FTMetrics_metadata():
"""
Test FT metrics with metadata.
"""
df = make_some_data()
data = df[['ref', 'k1']]
metadata_dict_template = {'network': np.array(['None'], dtype='U256')}
metriccalc = FTMetrics(frozen_flag=2, other_name='k1',
metadata_template=metadata_dict_template)
res = metriccalc.calc_metrics(
data, gpi_info=(0, 0, 0, {'network': 'SOILSCAPE'}))
assert res['network'] == np.array(['SOILSCAPE'], dtype='U256')
def test_FTMetrics():
"""
Test FT metrics.
"""
df = make_some_data()
data = df[['ref', 'k1']]
metriccalc = FTMetrics(frozen_flag=2, other_name='k1')
res = metriccalc.calc_metrics(data, gpi_info=(0, 0, 0))
should = dict(n_obs=np.array([366]), ssf_fr_temp_un=np.array(
[0.0], dtype='float32'), dtype='float32')
assert res['n_obs'] == should['n_obs']
assert res['ssf_fr_temp_un'] == should['ssf_fr_temp_un']
def test_FTMetrics():
"""
Test FT metrics.
"""
df = make_some_data()
data = df[["ref", "k1"]]
metriccalc = FTMetrics(frozen_flag=2, other_name="k1")
res = metriccalc.calc_metrics(data, gpi_info=(0, 0, 0))
should = dict(
n_obs=np.array([366]),
ssf_fr_temp_un=np.array([0.0], dtype="float32"),
dtype="float32",
)
assert res["n_obs"] == should["n_obs"]
assert res["ssf_fr_temp_un"] == should["ssf_fr_temp_un"]
def test_FTMetrics():
"""
Test FT metrics.
"""
df = make_some_data()
data = df[['ref', 'k1']]
with warnings.catch_warnings():
warnings.simplefilter("ignore") # many warnings due to test data
metriccalc = FTMetrics(frozen_flag=2, other_name='k1')
res = metriccalc.calc_metrics(data, gpi_info=(0, 0, 0))
should = dict(n_obs=np.array([366]),
ssf_fr_temp_un=np.array([0.0], dtype='float32'),
dtype='float32')
assert res['n_obs'] == should['n_obs']
assert res['ssf_fr_temp_un'] == should['ssf_fr_temp_un']
def test_FTMetrics_metadata():
"""
Test FT metrics with metadata.
"""
df = make_some_data()
data = df[['ref', 'k1']]
metadata_dict_template = {'network': np.array(['None'], dtype='U256')}
with warnings.catch_warnings():
warnings.simplefilter("ignore") # many warnings due to test data
metriccalc = FTMetrics(frozen_flag=2,
other_name='k1',
metadata_template=metadata_dict_template)
res = metriccalc.calc_metrics(data,
gpi_info=(0, 0, 0, {
'network': 'SOILSCAPE'
}))
assert res['network'] == np.array(['SOILSCAPE'], dtype='U256')
def test_FTMetrics_metadata():
"""
Test FT metrics with metadata.
"""
df = make_some_data()
data = df[["ref", "k1"]]
metadata_dict_template = {"network": np.array(["None"], dtype="U256")}
metriccalc = FTMetrics(
frozen_flag=2,
other_name="k1",
metadata_template=metadata_dict_template,
)
res = metriccalc.calc_metrics(data,
gpi_info=(0, 0, 0, {
"network": "SOILSCAPE"
}))
assert res["network"] == np.array(["SOILSCAPE"], dtype="U256")