def setUp(self):
self.data_path = os.path.join(pc.__path__[0], 'data')
self.file_path = os.path.join(self.data_path, 'serpentine_dry.txt')
self.file_path2 = os.path.join(self.data_path, 'rexolite_PAL.txt')
self.fake_path = os.path.join(self.data_path, 'fake.txt')
self.dataset1 = pc.run_default(airline_name='VAL',
file_path=self.file_path)
self.dataset2 = pc.run_default(airline_name='VAL',
file_path=self.file_path2,
corr=True,
freq_cutoff=None)
self.dataset3 = pc.run_default(airline_name='VAL',
file_path=self.file_path,
nrw=True)
self.dataset4 = pc.run_default(airline_name='VAL',
file_path=self.file_path,
nrw=True,
corr=True)
self.normdataset = pc.AirlineData(*pc.get_METAS_data(
airline='VAL', file_path=self.file_path),
bulk_density=1.6,
name='Serpentine',
normalize_density=True)
self.normdataset2 = pc.AirlineData(*pc.get_METAS_data(airline='VAL',file_path=self.file_path),\
bulk_density=1.6,name='Serpentine',normalize_density=True,\
norm_eqn='LLL',corr=True,date='date',temperature=25)
def setUp(self):
import permittivitycalc as pc
self.data_path = os.path.join(pc.__path__[0], 'data')
self.file_path = os.path.join(self.data_path, 'serpentine_dry.txt')
self.file_path2 = os.path.join(self.data_path, 'rexolite_PAL.txt')
self.fake_path = os.path.join(self.data_path, 'fake.txt')
self.dataset1 = pc.run_default(airline_name='VAL',
file_path=self.file_path)
self.dataset2 = pc.run_default(airline_name='VAL',
file_path=self.file_path2)
self.nonedataset = pc.AirlineData(*pc.get_METAS_data(
airline='VAL', file_path=self.file_path2),
bulk_density=1.6,
name='Serpentine',
normalize_density=True,
freq_cutoff=None)
self.cutdataset = pc.AirlineData(*pc.get_METAS_data(
airline='VAL', file_path=self.file_path2),
bulk_density=1.6,
name='Serpentine',
normalize_density=True,
freq_cutoff=2e8)
self.normdataset = pc.AirlineData(*pc.get_METAS_data(
airline='VAL', file_path=self.file_path2),
bulk_density=1.6,
name='Serpentine',
normalize_density=True)
self.corrdataset = pc.AirlineData(*pc.get_METAS_data(
airline='VAL', file_path=self.file_path2),
bulk_density=1.6,
name='Serpentine',
corr=True)
def test_str(self):
print(sys._getframe().f_code.co_name)
self.assertIsNotNone(self.normdataset2.__str__())
self.assertIsNotNone(self.normdataset.__str__())
self.assertIsNotNone(pc.AirlineData(*pc.get_METAS_data(airline='VAL',\
file_path=self.file_path),normalize_density=5.8\
,bulk_density=3.5))
def test_normalize_density_number(self):
"""Test density normalization using a value"""
print(sys._getframe().f_code.co_name)
test = pc.AirlineData\
(*pc.get_METAS_data(airline='VAL',file_path=self.file_path)\
,bulk_density=3.5,normalize_density=5.8)
self.assertIsNotNone(test.norm_dielec)
self.assertIsNotNone(test.norm_losstan)
with self.assertRaises(Exception):
pc.AirlineData(*pc.get_METAS_data(airline='VAL',\
file_path=self.file_path),normalize_density=5.8)
def test_shorted(self):
"""Test fail to locate shorted sample"""
print(sys._getframe().f_code.co_name)
with self.assertRaises(Exception):
pc.AirlineData(*pc.get_METAS_data(airline='VAL',\
file_path=self.file_path),shorted=True)