104 lines
4.3 KiB
Python
104 lines
4.3 KiB
Python
import h5py
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from .common import TestCase
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def is_aligned(dataset, offset=4096):
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# Here we check if the dataset is aligned
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return dataset.id.get_offset() % offset == 0
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def dataset_name(i):
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return f"data{i:03}"
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class TestFileAlignment(TestCase):
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"""
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Ensure that setting the file alignment has the desired effect
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in the internal structure.
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"""
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def test_no_alignment_set(self):
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fname = self.mktemp()
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# 881 is a prime number, so hopefully this help randomize the alignment
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# enough
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# A nice even number might give a pathological case where
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# While we don't want the data to be aligned, it ends up aligned...
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shape = (881,)
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with h5py.File(fname, 'w') as h5file:
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# Create up to 1000 datasets
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# At least one of them should be misaligned.
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# While this isn't perfect, it seems that there
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# The case where 1000 datasets get created is one where the data
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# is aligned. Therefore, during correct operation, this test is
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# expected to finish quickly
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for i in range(1000):
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dataset = h5file.create_dataset(
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dataset_name(i), shape, dtype='uint8')
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# Assign data so that the dataset is instantiated in
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# the file
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dataset[...] = i
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if not is_aligned(dataset):
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# Break early asserting that the file is not aligned
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break
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else:
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raise RuntimeError("Data was all found to be aligned to 4096")
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def test_alignment_set_above_threshold(self):
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# 2022/01/19 hmaarrfk
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# UnitTest (TestCase) doesn't play well with pytest parametrization.
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alignment_threshold = 1000
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alignment_interval = 4096
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for shape in [
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(1033,), # A prime number above the threshold
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(1000,), # Exactly equal to the threshold
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(1001,), # one above the threshold
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]:
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fname = self.mktemp()
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with h5py.File(fname, 'w',
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alignment_threshold=alignment_threshold,
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alignment_interval=alignment_interval) as h5file:
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# Create up to 1000 datasets
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# They are all expected to be aligned
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for i in range(1000):
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dataset = h5file.create_dataset(
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dataset_name(i), shape, dtype='uint8')
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# Assign data so that the dataset is instantiated in
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# the file
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dataset[...] = (i % 256) # Truncate to uint8
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assert is_aligned(dataset, offset=alignment_interval)
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def test_alignment_set_below_threshold(self):
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# 2022/01/19 hmaarrfk
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# UnitTest (TestCase) doesn't play well with pytest parametrization.
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alignment_threshold = 1000
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alignment_interval = 1024
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for shape in [
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(881,), # A prime number below the threshold
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(999,), # Exactly one below the threshold
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]:
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fname = self.mktemp()
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with h5py.File(fname, 'w',
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alignment_threshold=alignment_threshold,
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alignment_interval=alignment_interval) as h5file:
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# Create up to 1000 datasets
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# At least one of them should be misaligned.
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# While this isn't perfect, it seems that there
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# The case where 1000 datasets get created is one where the
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# data is aligned. Therefore, during correct operation, this
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# test is expected to finish quickly
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for i in range(1000):
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dataset = h5file.create_dataset(
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dataset_name(i), shape, dtype='uint8')
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# Assign data so that the dataset is instantiated in
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# the file
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dataset[...] = i
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if not is_aligned(dataset, offset=alignment_interval):
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# Break early asserting that the file is not aligned
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break
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else:
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raise RuntimeError(
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"Data was all found to be aligned to "
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f"{alignment_interval}. This is highly unlikely.")
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