def test_load_binary():
data, info = load_output(testfilepath + 'test_binary.outb')
npt.assert_equal(info['name'], 'test_binary')
npt.assert_equal(info['description'],
'Modified by mwDeriveSensors on 27-Jul-2015 16:32:06')
npt.assert_equal(info['attribute_names'][4], 'RotPwr')
npt.assert_equal(info['attribute_units'][7], 'deg/s^2')
npt.assert_almost_equal(data[10, 4], 138.822277739535)
def test_load_bindary_fid(fid, tol, buffer):
data2, info2 = load_output(testfilepath +
'5MW_Land_BD_DLL_WTurb_fid04.outb')
data, info = load_binary_output(testfilepath +
'5MW_Land_BD_DLL_WTurb_fid%02d.outb' % fid,
use_buffer=buffer)
for k, v in info2.items():
if k not in {'name', 'description'}:
npt.assert_array_equal(info[k], v)
r = data.max(0) - data.min(0) + 1e-20
npt.assert_array_less(np.abs(data - data2).max(0), r * tol)
def run_and_get_results(spawner, path_):
task = spawner.spawn(str(path_), {})
luigi.build([task], local_scheduler=True, log_level='WARNING')
output_path = task.output().path
if not path.isfile(output_path):
with open(path.splitext(output_path)[0] + '.log') as fp:
log = fp.read()
raise ChildProcessError('FAST run did not produce output. Log:' +
linesep + log)
data, info = fast_io.load_output(output_path)
return pd.DataFrame(data, columns=info['attribute_names'])
def test_load_output3(self):
# This file has an extra comment at the end
data, info = load_output(testfilepath + 'FASTOut_Hydro.out')
self.assertAlmostEqual(data[3, 1], -1.0E+01)
def test_load_output2(self):
data, info = load_output(testfilepath + 'DTU10MW.out')
self.assertEqual(info['name'], "DTU10MW")
self.assertEqual(info['attribute_names'][1], "RotPwr")
self.assertEqual(info['attribute_units'][1], "kW")
def test_load_output():
data, info = load_output(testfilepath + 'DTU10MW.out')
npt.assert_equal(data[4, 3], 4.295E-04)
npt.assert_equal(info['name'], "DTU10MW")
npt.assert_equal(info['attribute_names'][1], "RotPwr")
npt.assert_equal(info['attribute_units'][1], "kW")
