def create_dataset(cls, name):
"""
Create dataset, removing an existing dataset first
"""
lue_test.remove_file_if_existant(name)
return lue.create_dataset(name)
def test_pathname(self):
# Relative path
file_pathname = "file_pathname.h5"
lue_test.remove_file_if_existant(file_pathname)
file = lue.hdf5.create_file(file_pathname)
self.assertEqual(file.pathname, file_pathname)
# Relative path
file_pathname = "./file_pathname.h5"
lue_test.remove_file_if_existant(file_pathname)
file = lue.hdf5.create_file(file_pathname)
self.assertEqual(file.pathname, file_pathname)
# Absolute path
file_pathname = os.path.abspath("file_pathname.h5")
lue_test.remove_file_if_existant(file_pathname)
file = lue.hdf5.create_file(file_pathname)
self.assertEqual(file.pathname, file_pathname)
# Unicode
file_pathname = u"filæ_¶åthnæmæ.h5"
lue_test.remove_file_if_existant(file_pathname)
file = lue.hdf5.create_file(file_pathname)
self.assertEqual(file.pathname, file_pathname)
def test_create_remove(self):
file_pathname = "file_create.h5"
lue_test.remove_file_if_existant(file_pathname)
self.assertFalse(lue.hdf5.file_exists(file_pathname))
file = lue.hdf5.create_file(file_pathname)
self.assertTrue(lue.hdf5.file_exists(file_pathname))
self.assertTrue(os.path.isfile(file_pathname))
self.assertTrue(os.access(file_pathname, os.F_OK))
self.assertTrue(os.access(file_pathname, os.R_OK))
self.assertTrue(os.access(file_pathname, os.W_OK))
self.assertFalse(os.access(file_pathname, os.X_OK))
lue.hdf5.remove_file(file_pathname)
self.assertFalse(lue.hdf5.file_exists(file_pathname))
def setUp(self):
dataset_name = "my_dataset.lue"
lue_test.remove_file_if_existant(dataset_name)
self.dataset = lue.create_dataset(dataset_name)
self.phenomenon = self.dataset.add_phenomenon("my_phenomenon")
self.nr_objects = 5
self.phenomenon.object_id.expand(self.nr_objects)[:] = \
np.arange(self.nr_objects)
self.nr_rows = 3
self.nr_cols = 2
self.value_shape = (self.nr_rows, self.nr_cols)
self.numeric_value_type = np.dtype(np.int32)
self.string_value_type = np.dtype(np.unicode_)
self.property_set = \
self.phenomenon.add_property_set("my_property_set")
numeric_property = self.property_set.add_property(
"my_numeric_property", self.numeric_value_type, self.value_shape)
string_property = self.property_set.add_property(
"my_string_property", self.string_value_type, self.value_shape)
self.lue_numeric_values = \
numeric_property.value.expand(self.nr_objects)
self.numpy_numeric_values = np.arange(
self.nr_objects * reduce(lambda x, y: x * y, self.value_shape),
dtype=self.numeric_value_type).reshape((self.nr_objects, ) +
self.value_shape)
self.lue_numeric_values[:] = self.numpy_numeric_values
self.lue_string_values = \
string_property.value.expand(self.nr_objects)
self.numpy_string_values = \
self.numpy_numeric_values.astype(self.string_value_type)
# self.lue_string_values[:] = self.numpy_string_values
lue.assert_is_valid(self.dataset)
def test_open_writable(self):
file_pathname = "file_open_writable.h5"
lue_test.remove_file_if_existant(file_pathname)
file = lue.hdf5.create_file(file_pathname)
file = lue.hdf5.open_file(file_pathname, "w")
def test_open_readonly(self):
file_pathname = "file_open_readonly.h5"
lue_test.remove_file_if_existant(file_pathname)
file = lue.hdf5.create_file(file_pathname)
file = lue.hdf5.open_file(file_pathname, "r")