def test_next_emits_all_features_if_partition_spans_multiple_data_sets_in_random_order(
self, tmpdir):
ds1 = np.array([[0.1, 0.1, 0.1, 0.1, 0.1], [0.2, 0.2, 0.2, 0.2, 0.2]])
ds2 = np.array([[0.3, 0.3, 0.3, 0.3, 0.3], [0.4, 0.4, 0.4, 0.4, 0.4],
[0.5, 0.5, 0.5, 0.5, 0.5]])
ds3 = np.array([[0.6, 0.6, 0.6, 0.6, 0.6], [0.7, 0.7, 0.7, 0.7, 0.7]])
file_path = os.path.join(tmpdir.strpath, 'features.h5')
file = h5py.File(file_path, 'w')
file.create_dataset('utt-1', data=ds1)
file.create_dataset('utt-2', data=ds2)
file.create_dataset('utt-3', data=ds3)
iterator = PartitioningFeatureIterator(file,
240,
shuffle=True,
seed=42)
features = tuple(iterator)
assert 7 == len(features)
self.assert_features_equal(('utt-3', 1, [0.7, 0.7, 0.7, 0.7, 0.7]),
features[0])
self.assert_features_equal(('utt-1', 0, [0.1, 0.1, 0.1, 0.1, 0.1]),
features[1])
self.assert_features_equal(('utt-1', 1, [0.2, 0.2, 0.2, 0.2, 0.2]),
features[2])
self.assert_features_equal(('utt-3', 0, [0.6, 0.6, 0.6, 0.6, 0.6]),
features[3])
self.assert_features_equal(('utt-2', 0, [0.3, 0.3, 0.3, 0.3, 0.3]),
features[4])
self.assert_features_equal(('utt-2', 2, [0.5, 0.5, 0.5, 0.5, 0.5]),
features[5])
self.assert_features_equal(('utt-2', 1, [0.4, 0.4, 0.4, 0.4, 0.4]),
features[6])
def test_next_emits_features_only_from_included_ds_ignoring_filter_in_random_order(
self, tmpdir):
ds1 = np.array([[0.1, 0.1, 0.1, 0.1, 0.1], [0.2, 0.2, 0.2, 0.2, 0.2]])
ds2 = np.array([[0.3, 0.3, 0.3, 0.3, 0.3], [0.4, 0.4, 0.4, 0.4, 0.4],
[0.5, 0.5, 0.5, 0.5, 0.5]])
ds3 = np.array([[0.6, 0.6, 0.6, 0.6, 0.6], [0.7, 0.7, 0.7, 0.7, 0.7]])
file_path = os.path.join(tmpdir.strpath, 'features.h5')
file = h5py.File(file_path, 'w')
file.create_dataset('utt-1', data=ds1)
file.create_dataset('utt-2', data=ds2)
file.create_dataset('utt-3', data=ds3)
features = tuple(
PartitioningFeatureIterator(file,
120,
shuffle=True,
seed=16,
includes=['utt-1', 'utt-3', 'unknown'],
excludes=['utt-1']))
assert 4 == len(features)
self.assert_features_equal(('utt-3', 0, [0.6, 0.6, 0.6, 0.6, 0.6]),
features[0])
self.assert_features_equal(('utt-1', 0, [0.1, 0.1, 0.1, 0.1, 0.1]),
features[1])
self.assert_features_equal(('utt-1', 1, [0.2, 0.2, 0.2, 0.2, 0.2]),
features[2])
self.assert_features_equal(('utt-3', 1, [0.7, 0.7, 0.7, 0.7, 0.7]),
features[3])
def test_next_emits_features_without_excluded_in_sequential_order(
self, tmpdir):
ds1 = np.array([[0.1, 0.1, 0.1, 0.1, 0.1], [0.2, 0.2, 0.2, 0.2, 0.2]])
ds2 = np.array([[0.3, 0.3, 0.3, 0.3, 0.3], [0.4, 0.4, 0.4, 0.4, 0.4],
[0.5, 0.5, 0.5, 0.5, 0.5]])
ds3 = np.array([[0.6, 0.6, 0.6, 0.6, 0.6], [0.7, 0.7, 0.7, 0.7, 0.7]])
file_path = os.path.join(tmpdir.strpath, 'features.h5')
file = h5py.File(file_path, 'w')
file.create_dataset('utt-1', data=ds1)
file.create_dataset('utt-2', data=ds2)
file.create_dataset('utt-3', data=ds3)
features = tuple(
PartitioningFeatureIterator(file,
120,
shuffle=False,
excludes=['utt-2', 'unknown']))
assert 4 == len(features)
self.assert_features_equal(('utt-1', 0, [0.1, 0.1, 0.1, 0.1, 0.1]),
features[0])
self.assert_features_equal(('utt-1', 1, [0.2, 0.2, 0.2, 0.2, 0.2]),
features[1])
self.assert_features_equal(('utt-3', 0, [0.6, 0.6, 0.6, 0.6, 0.6]),
features[2])
self.assert_features_equal(('utt-3', 1, [0.7, 0.7, 0.7, 0.7, 0.7]),
features[3])
def test_next_emits_no_features_if_data_set_is_empty(self, tmpdir):
file_path = os.path.join(tmpdir.strpath, 'features.h5')
file = h5py.File(file_path, 'w')
file.create_dataset('utt-1', data=np.array([]))
features = tuple(PartitioningFeatureIterator(file, 120))
assert 0 == len(features)
def test_partitioning_raises_error_if_record_bigger_than_partition_size(
self, tmpdir):
ds1 = np.array([[0.1, 0.1, 0.1, 0.1, 0.1]])
file_path = os.path.join(tmpdir.strpath, 'features.h5')
file = h5py.File(file_path, 'w')
file.create_dataset('utt-1', data=ds1)
with pytest.raises(ValueError):
PartitioningFeatureIterator(file, 1)
def test_partitioning_empty_file_emits_zero_partitions(self, tmpdir):
file_path = os.path.join(tmpdir.strpath, 'features.h5')
file = h5py.File(file_path, 'w')
iterator = PartitioningFeatureIterator(file,
100,
shuffle=True,
seed=42)
assert 0 == len(iterator._partitions)
def test_partitioning_empty_ds_emits_zero_partitions(self, tmpdir):
ds1 = np.array([])
file_path = os.path.join(tmpdir.strpath, 'features.h5')
file = h5py.File(file_path, 'w')
file.create_dataset('utt-1', data=ds1)
iterator = PartitioningFeatureIterator(file,
100,
shuffle=True,
seed=42)
assert 0 == len(iterator._partitions)
def test_partitioning_partition_size_not_divisible_by_record_size_without_remainder(
self, tmpdir):
ds1 = np.array([[0.1, 0.1, 0.1, 0.1, 0.1], [0.2, 0.2, 0.2, 0.2, 0.2]])
ds2 = np.array([[0.3, 0.3, 0.3, 0.3, 0.3], [0.4, 0.4, 0.4, 0.4, 0.4],
[0.5, 0.5, 0.5, 0.5, 0.5]])
file_path = os.path.join(tmpdir.strpath, 'features.h5')
file = h5py.File(file_path, 'w')
file.create_dataset('utt-1', data=ds1)
file.create_dataset('utt-2', data=ds2)
iterator = PartitioningFeatureIterator(
file, 81, shuffle=True, seed=42) # one byte more than ds1
assert 3 == len(iterator._partitions)
assert (('utt-1', 1), ('utt-1', 2)) in iterator._partitions
assert (('utt-2', 0), ('utt-2', 2)) in iterator._partitions
assert (('utt-2', 2), ('utt-1', 1)) in iterator._partitions
def test_partitioning_remaining_space_filled_with_next_data_set(
self, tmpdir):
ds1 = np.array([[0.1, 0.1, 0.1, 0.1, 0.1], [0.2, 0.2, 0.2, 0.2, 0.2]])
ds2 = np.array([[0.3, 0.3, 0.3, 0.3, 0.3], [0.4, 0.4, 0.4, 0.4, 0.4],
[0.5, 0.5, 0.5, 0.5, 0.5]])
file_path = os.path.join(tmpdir.strpath, 'features.h5')
file = h5py.File(file_path, 'w')
file.create_dataset('utt-1', data=ds1)
file.create_dataset('utt-2', data=ds2)
iterator = PartitioningFeatureIterator(file,
120,
shuffle=True,
seed=32)
assert 2 == len(iterator._partitions)
assert (('utt-1', 0), ('utt-2', 1)) in iterator._partitions
assert (('utt-2', 1), ('utt-2', 3)) in iterator._partitions
def test_partitioning_all_data_fits_exactly_in_one(self, tmpdir):
ds1 = np.array([[0.1, 0.1, 0.1, 0.1, 0.1], [0.2, 0.2, 0.2, 0.2, 0.2]])
ds2 = np.array([[0.3, 0.3, 0.3, 0.3, 0.3], [0.4, 0.4, 0.4, 0.4, 0.4],
[0.5, 0.5, 0.5, 0.5, 0.5]])
ds3 = np.array([[0.6, 0.6, 0.6, 0.6, 0.6], [0.7, 0.7, 0.7, 0.7, 0.7]])
file_path = os.path.join(tmpdir.strpath, 'features.h5')
file = h5py.File(file_path, 'w')
file.create_dataset('utt-1', data=ds1)
file.create_dataset('utt-2', data=ds2)
file.create_dataset('utt-3', data=ds3)
iterator = PartitioningFeatureIterator(file,
320,
shuffle=True,
seed=42)
assert 1 == len(iterator._partitions)
assert (('utt-1', 0), ('utt-3', 2)) in iterator._partitions
def run(h5_file, partition, shuffle, partition_size):
file = h5py.File(h5_file, 'r')
counter = 0
features_bytes_read = 0
num_of_features = 0
dsets = {}
for dset in file:
length = len(file[dset])
dsets[dset] = length
num_of_features += length
if partition:
for feature in PartitioningFeatureIterator(file,
partition_size,
shuffle=shuffle):
features_bytes_read += feature[2].dtype.itemsize * len(feature[2])
counter += 1
else:
if shuffle:
indices = np.random.permutation(num_of_features)
for idx in indices:
for dset, length in dsets.items():
if idx >= length:
idx -= length
continue
feature = file[dset][idx]
features_bytes_read += feature.dtype.itemsize * len(
feature)
counter += 1
break
else:
for dset in file:
for feature in file[dset]:
features_bytes_read += feature.dtype.itemsize * len(
feature)
counter += 1
print('Total number of features: {0}'.format(num_of_features))
print('Features read: {0}'.format(counter))
print('Bytes of features read: {0}'.format(features_bytes_read))
def test_partitioning_copes_with_varying_record_sizes(self, tmpdir):
ds1 = np.array([[0.1, 0.1, 0.1, 0.1, 0.1], [0.2, 0.2, 0.2, 0.2, 0.2]])
ds2 = np.array([[0.3, 0.3, 0.3, 0.3, 0.3, 0.3],
[0.4, 0.4, 0.4, 0.4, 0.4, 0.4],
[0.5, 0.5, 0.5, 0.5, 0.5, 0.5]])
file_path = os.path.join(tmpdir.strpath, 'features.h5')
file = h5py.File(file_path, 'w')
file.create_dataset('utt-1', data=ds1)
file.create_dataset('utt-2', data=ds2)
iterator = PartitioningFeatureIterator(file,
120,
shuffle=True,
seed=12)
assert 3 == len(iterator._partitions)
assert (('utt-1', 0), ('utt-1', 2)) in iterator._partitions
assert (('utt-2', 0), ('utt-2', 2)) in iterator._partitions
assert (('utt-2', 2), ('utt-2', 3)) in iterator._partitions
def test_next_emits_all_features_in_sequential_order(self, tmpdir):
ds1 = np.array([[0.1, 0.1, 0.1, 0.1, 0.1], [0.2, 0.2, 0.2, 0.2, 0.2]])
ds2 = np.array([[0.3, 0.3, 0.3, 0.3, 0.3], [0.4, 0.4, 0.4, 0.4, 0.4],
[0.5, 0.5, 0.5, 0.5, 0.5]])
file_path = os.path.join(tmpdir.strpath, 'features.h5')
file = h5py.File(file_path, 'w')
file.create_dataset('utt-1', data=ds1)
file.create_dataset('utt-2', data=ds2)
features = tuple(PartitioningFeatureIterator(file, 120, shuffle=False))
assert 5 == len(features)
self.assert_features_equal(('utt-1', 0, [0.1, 0.1, 0.1, 0.1, 0.1]),
features[0])
self.assert_features_equal(('utt-1', 1, [0.2, 0.2, 0.2, 0.2, 0.2]),
features[1])
self.assert_features_equal(('utt-2', 0, [0.3, 0.3, 0.3, 0.3, 0.3]),
features[2])
self.assert_features_equal(('utt-2', 1, [0.4, 0.4, 0.4, 0.4, 0.4]),
features[3])
self.assert_features_equal(('utt-2', 2, [0.5, 0.5, 0.5, 0.5, 0.5]),
features[4])
def test_next_emits_no_features_if_file_is_empty(self, tmpdir):
file_path = os.path.join(tmpdir.strpath, 'features.h5')
file = h5py.File(file_path, 'w')
features = tuple(PartitioningFeatureIterator(file, 120))
assert 0 == len(features)