def test_radd_operator_with_datasets_should_return_dataset_with_all_samples(
self):
s1 = [Sample(1, 1), Sample(2, 2)]
s2 = [Sample(3, 3), Sample(4, 4)]
d1 = Dataset(list(s1))
d2 = Dataset(list(s2))
d3 = sum([d1, d2])
self.assertListEqual(s1 + s2, d3.get_samples())
def test_radd_operator_with_datasets_should_return_new_dataset_instance(
self):
d1 = Dataset()
d2 = Dataset()
d3 = sum([d1, d2])
self.assertIsInstance(d3, Dataset)
self.assertNotEqual(d3, d1)
self.assertNotEqual(d3, d2)
def test_merge_given_dataset_should_extend_original_dataset_with_given_one(
self):
samples_sut = [Sample(1, 1), Sample(2, 2)]
samples_dataset = [Sample(3, 3), Sample(4, 4)]
sut = Dataset(list(samples_sut))
dataset = Dataset(list(samples_dataset))
sut.merge(dataset)
samples_sut.extend(samples_dataset)
self.assertListEqual(samples_sut, sut.get_samples())
def test_remove_give_list_with_existent_samples_should_remove_them(self):
samples = [1, 2, 3]
sut = Dataset(list(samples))
sut.remove([1, 2])
samples.remove(1)
samples.remove(2)
self.assertListEqual(samples, sut.get_samples())
def test_get_output_given_offset_should_return_array_without_offset_first_elems(
self):
samples = [
Sample(1, 1),
Sample(1, 2),
Sample(1, 3),
Sample(1, 4),
Sample(1, 5)
]
sut = Dataset(list(samples))
self.assertListEqual([[2], [3], [4], [5]], sut.get_output(offset=1))
def test_get_input_given_offset_should_return_array_without_offset_first_elems(
self):
samples = [
Sample(1, None),
Sample(2, None),
Sample(3, None),
Sample(4, None),
Sample(5, None)
]
sut = Dataset(list(samples))
self.assertListEqual([[2], [3], [4], [5]], sut.get_input(offset=1))
def test_get_input_given_offset_and_num_elems_should_return_chunked_array(
self):
samples = [
Sample(1, None),
Sample(2, None),
Sample(3, None),
Sample(4, None),
Sample(5, None)
]
sut = Dataset(list(samples))
self.assertListEqual([[2], [3], [4]],
sut.get_input(offset=1, num_elems=3))
def test_get_output_given_offset_and_num_elems_should_return_chunked_array(
self):
samples = [
Sample(1, 1),
Sample(1, 2),
Sample(1, 3),
Sample(1, 4),
Sample(1, 5)
]
sut = Dataset(list(samples))
self.assertListEqual([[2], [3], [4]],
sut.get_output(offset=1, num_elems=3))
def load(self, path):
"""Creates a Dataset object from the data saved in HDF5 file.
The dataset will contain plain Sample objects with the raw data.
"""
super(H5pyPersistenceManager, self).load(path)
with h5py.File(path, 'r') as f:
inputs = f[self.INPUT_DATASET_NAME]
if self.OUTPUT_DATASET_NAME in f:
outputs = f[self.OUTPUT_DATASET_NAME]
samples = [Sample(sample_input, outputs[idx]) for idx, sample_input in enumerate(inputs)]
else:
samples = [Sample(sample_input) for sample_input in inputs]
return Dataset(samples)
def test_get_input_given_axis_samples_false_should_return_array_with_input_as_first_axis(
self):
samples = [Sample([1, 2], 1), Sample([3, 4], 3)]
sut = Dataset(samples)
self.assertListEqual([[1, 3], [2, 4]],
sut.get_input(axis_samples=False))
def test_get_input_given_invalid_samples_should_raise_exception(self):
sut = Dataset([1, 2, 3])
self.assertRaises(TypeError, sut.get_input)
def test_construct_given_none_should_initialize_samples_as_list(self):
sut = Dataset()
self.assertIsInstance(sut.get_samples(), list)
self.assertListEqual([], sut.get_samples())
def test_remove_given_list_with_unexistent_sample_should_raise_exception(
self):
samples = [1, 2, 3]
sut = Dataset(list(samples))
self.assertRaises(ValueError, sut.remove, [1, 4])
def test_load_given_existing_path_should_return_dataset(self):
with open(self.file_path, 'w') as f:
cPickle.dump(Dataset([Sample([1, 2]), Sample([3, 4])]), f)
dataset = self.sut.load(self.file_path)
self.assertIsInstance(dataset, Dataset)
self.assertTrue(dataset.len() == 2)
def test_merge_given_non_dataset_should_raise_exception(self):
sut = Dataset()
self.assertRaises(TypeError, sut.merge, 'no dataset')
def test_remove_given_existent_sample_should_remove_it(self):
samples = [1, 2, 3]
sut = Dataset(list(samples))
sut.remove(3)
samples.remove(3)
self.assertListEqual(samples, sut.get_samples())
def test_add_given_single_item_should_add_elem(self):
samples = [1, 2, 3]
sut = Dataset(list(samples))
sut.add(4)
samples.append(4)
self.assertListEqual(samples, sut.get_samples())
def test_add_given_list_should_add_elements(self):
samples = [1, 2, 3]
sut = Dataset(list(samples))
sut.add([4, 5, 6])
samples.extend([4, 5, 6])
self.assertListEqual(samples, sut.get_samples())
def test_get_output_given_axis_samples_true_should_return_array_with_sample_as_first_axis(
self):
samples = [Sample(1, [1, 2]), Sample(3, [3, 4])]
sut = Dataset(samples)
self.assertListEqual([[1, 2], [3, 4]],
sut.get_output(axis_samples=True))
def test_add_give_empty_list_should_do_nothing(self):
samples = [1, 2, 3]
sut = Dataset(list(samples))
sut.add([])
self.assertListEqual(samples, sut.get_samples())
def test_save_given_dataset_should_persist_it(self):
dataset = Dataset([Sample([1, 2]), Sample([3, 4])])
self.sut.save(dataset, self.file_path)
with open(self.file_path) as f:
d = cPickle.load(f)
self.assertIsInstance(d, Dataset)
def test_add_operator_with_non_dataset_should_raise_exception(self):
sut = Dataset()
self.assertRaises(TypeError, sut.__add__, 1)
def test_construct_given_list_should_assign_samples(self):
samples = [1, 2, 3]
sut = Dataset(samples)
self.assertIsInstance(sut.get_samples(), list)
self.assertListEqual(samples, sut.get_samples())
def test_get_input_given_axis_samples_false_and_inconsisten_samples_should_raise_exception(
self):
samples = [Sample(1, 1), Sample([3, 4], 3)]
sut = Dataset(samples)
self.assertRaises(ValueError, sut.get_input, False)
def test_remove_given_unexistent_sample_should_raise_exception(self):
sut = Dataset([1, 2, 3])
self.assertRaises(ValueError, sut.remove, 4)
def test_save_given_dataset_with_input_output_should_persist_both(self):
dataset = Dataset([Sample([1, 2], 1), Sample([3, 4], 3)])
self.sut.save(dataset, self.file_path)
with h5py.File(self.file_path, 'r') as f:
self.assertIn(H5pyPersistenceManager.INPUT_DATASET_NAME, f)
self.assertIn(H5pyPersistenceManager.OUTPUT_DATASET_NAME, f)
def test_get_output_without_output_samples_should_raise_exception(self):
sut = Dataset([Sample(1), Sample(2)])
self.assertRaises(TypeError, sut.get_output)