def test_HSAF_Metrics():
"""
Test HSAF Metrics
"""
df = make_some_data()
data = df[['ref', 'k1', 'k2']]
metriccalc = HSAF_Metrics(other_name1='k1', other_name2='k2')
res = metriccalc.calc_metrics(data, gpi_info=(0, 0, 0))
should = dict(ALL_n_obs=np.array([366]), dtype='float32')
assert res['ALL_n_obs'] == should['ALL_n_obs']
assert np.isnan(res['ref_k1_ALL_rho'])
assert np.isnan(res['ref_k2_ALL_rho'])
def test_HSAF_Metrics_metadata():
"""
Test HSAF Metrics with metadata.
"""
df = make_some_data()
data = df[['ref', 'k1', 'k2']]
metadata_dict_template = {'network': np.array(['None'], dtype='U256')}
metriccalc = HSAF_Metrics(
other_name1='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_HSAF_Metrics():
"""
Test HSAF Metrics
"""
df = make_some_data()
data = df[["ref", "k1", "k2"]]
metriccalc = HSAF_Metrics(other_name1="k1", other_name2="k2")
res = metriccalc.calc_metrics(data, gpi_info=(0, 0, 0))
should = dict(ALL_n_obs=np.array([366]), dtype="float32")
assert res["ALL_n_obs"] == should["ALL_n_obs"]
assert np.isnan(res["ref_k1_ALL_rho"])
assert np.isnan(res["ref_k2_ALL_rho"])
def test_HSAF_Metrics_metadata():
"""
Test HSAF Metrics with metadata.
"""
df = make_some_data()
data = df[["ref", "k1", "k2"]]
metadata_dict_template = {"network": np.array(["None"], dtype="U256")}
metriccalc = HSAF_Metrics(other_name1="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_HSAF_Metrics():
"""
Test HSAF Metrics
"""
df = make_some_data()
data = df[['ref', 'k1', 'k2']]
with warnings.catch_warnings():
warnings.simplefilter("ignore") # many warnings due to test data
metriccalc = HSAF_Metrics(other_name1='k1', other_name2='k2')
res = metriccalc.calc_metrics(data, gpi_info=(0, 0, 0))
should = dict(ALL_n_obs=np.array([366]), dtype='float32')
assert res['ALL_n_obs'] == should['ALL_n_obs']
assert np.isnan(res['ref_k1_ALL_rho'])
assert np.isnan(res['ref_k2_ALL_rho'])
def test_HSAF_Metrics_metadata():
"""
Test HSAF Metrics with metadata.
"""
df = make_some_data()
data = df[['ref', 'k1', 'k2']]
metadata_dict_template = {'network': np.array(['None'], dtype='U256')}
with warnings.catch_warnings():
warnings.simplefilter("ignore") # many warnings due to test data
metriccalc = HSAF_Metrics(other_name1='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')