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2b06d1d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 | import pytest
from datasets.utils.sharding import _distribute_shards, _number_of_shards_in_gen_kwargs, _split_gen_kwargs
@pytest.mark.parametrize(
"kwargs, expected",
[
({"num_shards": 0, "max_num_jobs": 1}, []),
({"num_shards": 10, "max_num_jobs": 1}, [range(10)]),
({"num_shards": 10, "max_num_jobs": 10}, [range(i, i + 1) for i in range(10)]),
({"num_shards": 1, "max_num_jobs": 10}, [range(1)]),
({"num_shards": 10, "max_num_jobs": 3}, [range(0, 4), range(4, 7), range(7, 10)]),
({"num_shards": 3, "max_num_jobs": 10}, [range(0, 1), range(1, 2), range(2, 3)]),
],
)
def test_distribute_shards(kwargs, expected):
out = _distribute_shards(**kwargs)
assert out == expected
@pytest.mark.parametrize(
"gen_kwargs, max_num_jobs, expected",
[
({"foo": 0}, 10, [{"foo": 0}]),
({"shards": [0, 1, 2, 3]}, 1, [{"shards": [0, 1, 2, 3]}]),
({"shards": [0, 1, 2, 3]}, 4, [{"shards": [0]}, {"shards": [1]}, {"shards": [2]}, {"shards": [3]}]),
({"shards": [0, 1]}, 4, [{"shards": [0]}, {"shards": [1]}]),
({"shards": [0, 1, 2, 3]}, 2, [{"shards": [0, 1]}, {"shards": [2, 3]}]),
],
)
def test_split_gen_kwargs(gen_kwargs, max_num_jobs, expected):
out = _split_gen_kwargs(gen_kwargs, max_num_jobs)
assert out == expected
@pytest.mark.parametrize(
"gen_kwargs, expected",
[
({"foo": 0}, 1),
({"shards": [0]}, 1),
({"shards": [0, 1, 2, 3]}, 4),
({"shards": [0, 1, 2, 3], "foo": 0}, 4),
({"shards": [0, 1, 2, 3], "other": (0, 1)}, 4),
({"shards": [0, 1, 2, 3], "shards2": [0, 1]}, RuntimeError),
],
)
def test_number_of_shards_in_gen_kwargs(gen_kwargs, expected):
if expected is RuntimeError:
with pytest.raises(expected):
_number_of_shards_in_gen_kwargs(gen_kwargs)
else:
out = _number_of_shards_in_gen_kwargs(gen_kwargs)
assert out == expected
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