def test_PV_lat_tilt(res, site_index):
"""Test the method to set tilt based on latitude."""
rev2_points = TESTDATADIR + '/project_points/ri.csv'
sam_files = [
TESTDATADIR + '/SAM/naris_pv_1axis_inv13.json',
TESTDATADIR + '/SAM/naris_pv_1axis_inv13.json'
]
sam_files = {'sam_param_{}'.format(i): k for i, k in enumerate(sam_files)}
pp = ProjectPoints(rev2_points, sam_files, 'pv')
for i, [res_df, meta] in enumerate(res):
if i == site_index:
# get SAM inputs from project_points based on the current site
site = res_df.name
config, inputs = pp[site]
inputs['tilt'] = 'latitude'
# iterate through requested sites.
with warnings.catch_warnings():
warnings.simplefilter("ignore")
sim = Pvwattsv5(resource=res_df,
meta=meta,
sam_sys_inputs=inputs,
output_request=('cf_mean', ))
break
else:
pass
assert sim.sam_sys_inputs['tilt'] == meta['latitude']
def test_time_interval(dt):
"""Test the method to get the 'time interval' from the time index obj."""
baseline = {'1h': 1, '30min': 2, '5min': 12}
ti = pd.date_range('1-1-{y}'.format(y=2012),
'1-1-{y}'.format(y=2013),
freq=dt)[:-1]
interval = Pvwattsv5.get_time_interval(ti)
assert interval == baseline[dt]
def test_leap_year(res):
"""Test the method to ensure resource array length with dropping leap day.
"""
for res_df, meta in res:
res_dropped = Pvwattsv5.drop_leap(res_df)
break
compare = np.allclose(res_dropped.iloc[-9000:, :].values,
res_df.iloc[-9000:, :].values)
assert compare
def test_res_length(res):
"""Test the method to ensure resource array length with truncation."""
for res_df, meta in res:
with warnings.catch_warnings():
warnings.simplefilter("ignore")
res_dropped = Pvwattsv5.ensure_res_len(res_df.values)
break
compare = np.allclose(res_dropped[:9000, :], res_df.values[:9000, :])
return compare