def test_shuffle1():
dataset = wds.DataPipeline(
wds.SimpleShardList(["testdata/imagenet-000000.tgz"]),
wds.shuffle(10),
)
result = list(iter(dataset))
assert len(result) == 1
def test_trivial_map4():
dataset = wds.DataPipeline(
lambda: iter([1, 2, 3, 4]),
adder4,
)
result = list(iter(dataset))
assert result == [5, 6, 7, 8]
def test_shuffle0():
dataset = wds.DataPipeline(
lambda: iter([]),
wds.shuffle(10),
)
result = list(iter(dataset))
assert len(result) == 0
def test_resampled():
dataset = wds.DataPipeline(
wds.SimpleShardList(list(map(str, range(10)))),
wds.resampled(27),
)
result = list(iter(dataset))
assert len(result) == 27
def test_slice():
dataset = wds.DataPipeline(
wds.SimpleShardList(list(map(str, range(200)))),
wds.slice(29),
)
result = list(iter(dataset))
assert len(result) == 29
def test_nonempty2():
dataset = wds.DataPipeline(
wds.SimpleShardList(list(map(str, range(10)))),
lambda src: iter([]),
wds.non_empty,
)
with pytest.raises(ValueError):
list(iter(dataset))
def test_splitting():
dataset = wds.DataPipeline(
wds.SimpleShardList(list(map(str, range(10)))),
wds.split_by_node,
wds.split_by_worker,
)
result = list(iter(dataset))
assert len(result) == 10
assert result[0]["url"] == "0"
def test_seed():
dataset = wds.DataPipeline(
wds.SimpleShardList(list(map(str, range(10)))),
wds.split_by_node,
wds.split_by_worker,
)
result = list(iter(dataset))
assert len(result) == 10
assert result[0]["url"] == "0"
epoch = 17
dataset.stage(0).seed = epoch
result = list(iter(dataset))
assert len(result) == 10
assert result[0]["url"] == "7"
def test_reader2():
dataset = wds.DataPipeline(
wds.SimpleShardList(["testdata/imagenet-000000.tgz"] * 10),
wds.shuffle(3),
wds.tarfile_samples,
wds.shuffle(100),
wds.decode(autodecode.ImageHandler("rgb")),
wds.to_tuple("png", "cls"),
)
result = list(iter(dataset))
assert len(result[0]) == 2
assert isinstance(result[0][0], np.ndarray)
assert isinstance(result[0][1], int)
assert len(result) == 470
def test_reader1():
dataset = wds.DataPipeline(
wds.SimpleShardList("testdata/imagenet-000000.tgz"),
wds.tarfile_samples,
wds.decode(autodecode.ImageHandler("rgb")),
)
result = list(iter(dataset))
keys = list(result[0].keys())
assert "__key__" in keys
assert "cls" in keys
assert "png" in keys
assert isinstance(result[0]["cls"], int)
assert isinstance(result[0]["png"], np.ndarray)
assert result[0]["png"].shape == (793, 600, 3)
assert len(result) == 47
def test_composable():
dataset = wds.DataPipeline(
wds.SimpleShardList("test-{000000..000099}.tar"), )
result = list(iter(dataset))
assert len(result) == 100
def test_trivial_map3():
dataset = wds.DataPipeline(lambda: iter([1, 2, 3, 4]),
wds.stage(iterators.map, lambda x: x + 1))
result = list(iter(dataset))
assert result == [2, 3, 4, 5]
def test_trivial_map():
dataset = wds.DataPipeline(lambda: iter([1, 2, 3, 4]),
filters.map(lambda x: x + 1))
result = list(iter(dataset))
assert result == [2, 3, 4, 5]
def test_trivial():
dataset = wds.DataPipeline(lambda: iter([1, 2, 3, 4]))
result = list(iter(dataset))
assert result == [1, 2, 3, 4]
