def test__scan_header(self):
# This also tests the module scan_header
# __init__ scans the header for some files, so to debug this it may be
# useful to comment that section temporarily
# Here we test if the errors are raised
path = "no-time..asc"
with open(path, "wt") as test_file:
test_file.write("# column format: 1:data")
with self.assertRaises(RuntimeError):
cs.OneScalar(path)
os.remove(path)
path = "no-data..asc"
with open(path, "wt") as test_file:
test_file.write("# column format: 1:time")
with self.assertRaises(RuntimeError):
cs.OneScalar(path)
os.remove(path)
def test_OneScalar_magic_methods(self):
path = "tests/tov/output-0000/static_tov/vel[0].maximum.asc"
asc = cs.OneScalar(path)
self.assertIn("vel[0]", asc)
self.assertCountEqual(asc.keys(), ["vel[0]"])
def test_load(self):
# no reduction, scalar, one file per group
path = "tests/tov/output-0000/static_tov/carpet-timing..asc"
asc_carp = cs.OneScalar(path)
t, y = np.loadtxt(path, ndmin=2, unpack=True, usecols=(8, 13))
self.assertEqual(
asc_carp.load("current_physical_time_per_hour"),
ts.TimeSeries(t, y),
)
# Test __getitem__
self.assertEqual(asc_carp["current_physical_time_per_hour"],
ts.TimeSeries(t, y))
# Value not existing
with self.assertRaises(KeyError):
asc_carp.load("bubu")
# Test scanning header
path = "tests/tov/output-0000/static_tov/vel[0].maximum.asc"
asc = cs.OneScalar(path)
_ = asc.load("vel[0]")
def test_OneScalar(self):
# Filename not recogonized
with self.assertRaises(RuntimeError):
cs.OneScalar("123.h5")
# Reduction not recogonized
with self.assertRaises(RuntimeError):
cs.OneScalar("hydrobase-press.bubu.asc")
# maximum, vector, one file per variable
path = "tests/tov/output-0000/static_tov/vel[0].maximum.asc"
asc = cs.OneScalar(path)
self.assertFalse(asc._is_one_file_per_group)
self.assertFalse(asc._was_header_scanned)
self.assertEqual(asc.reduction_type, "maximum")
self.assertDictEqual(asc._vars_columns, {"vel[0]": None})
# no reduction, scalar, one file per group
path = "tests/tov/output-0000/static_tov/carpet-timing..asc"
asc_carp = cs.OneScalar(path)
self.assertTrue(asc_carp._is_one_file_per_group)
self.assertTrue(asc_carp._was_header_scanned)
self.assertIn("current_physical_time_per_hour", asc_carp._vars_columns)
self.assertEqual(
asc_carp._vars_columns["current_physical_time_per_hour"], 13)
self.assertIn("time_total", asc_carp._vars_columns)
self.assertEqual(asc_carp._vars_columns["time_total"], 14)
self.assertIs(asc_carp.reduction_type, "scalar")
# Compressed, scalar, one file per group
path = "tests/tov/output-0000/static_tov/hydrobase-eps.minimum.asc.gz"
asc_gz = cs.OneScalar(path)
self.assertTrue(asc_gz._is_one_file_per_group)
self.assertTrue(asc_gz._was_header_scanned)
self.assertEqual(asc_gz.reduction_type, "minimum")
self.assertEqual(asc_gz._compression_method, "gz")
self.assertDictEqual(asc_gz._vars_columns, {"eps": 2})
# Compressed, scalar, one file per group
path = "tests/tov/output-0000/static_tov/hydrobase-eps.minimum.asc.bz2"
asc_bz = cs.OneScalar(path)
self.assertEqual(asc_bz._compression_method, "bz2")
self.assertDictEqual(asc_bz._vars_columns, {"eps": 2})
