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Add a test for larger-than-memory data #11

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10 changes: 10 additions & 0 deletions versioned_hdf5/tests/test_api.py
Original file line number Diff line number Diff line change
Expand Up @@ -253,3 +253,13 @@ def test_spaceid_to_slice():
print(start, count, stride, block)
raise
assert_equal(a[s], a[sel], f"{(start, count, stride, block)}")

def test_large_dataset():
# Test that large datasets aren't read into memory.
with setup() as f:
# A dataset of zeros that would take 80 GB if put into memory.
# However, since the dataset is empty, hdf5 is able to represent it
# without storing very much data on disk.
file = VersionedHDF5File(f)
with file.stage_version('version1') as group:
group.create_dataset('large', shape=(10000000000,), dtype=np.float64)