def test_existing_dataset_using_use_existing(tmpdir):
"""
Use the use_existing parameter to load configurations from existing dataset.
"""
kaldi = KaldiInterface(f'{tmpdir}/state')
ds1 = kaldi.new_dataset('dataset_x')
ds1_hash = ds1.hash
ds2 = kaldi.new_dataset('dataset_x', use_existing=True)
assert len(kaldi.list_datasets()) == 1
assert ds1_hash == ds2.hash
assert ds1.path == ds2.path
return
def test_existing_dataset_using_override(tmpdir):
"""
Use override to delete a dataset with the same name and create a totally
new dataset with the same name.
"""
kaldi = KaldiInterface(f'{tmpdir}/state')
ds1 = kaldi.new_dataset('dataset_x')
ds1_hash = ds1.hash
ds2 = kaldi.new_dataset('dataset_x', override=True)
# note ds1 can no longer be used
assert len(kaldi.list_datasets()) == 1
assert ds1_hash != ds2.hash
return
def test_new_dataset_using_override(tmpdir):
"""
Using override has no effect when the dataset with the same name does not
exist.
"""
kaldi = KaldiInterface(f'{tmpdir}/state')
ds = kaldi.new_dataset('dataset_x', override=True)
# White-box testing, contains empty child directories "original" and
# "resampled".
path_to_original = Path(f'{tmpdir}/state/datasets/{ds.hash}/original')
assert path_to_original.is_dir()
assert [n for n in path_to_original.iterdir()] == []
path_to_resampled = Path(f'{tmpdir}/state/datasets/{ds.hash}/resampled')
assert path_to_resampled.is_dir()
assert [n for n in path_to_resampled.iterdir()] == []
# Interface only has record of one dataset
assert len(kaldi.list_datasets()) == 1
return