Viewing file:  test_dataset_swmr.py (5.69 KB) -rw-r--r--
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import numpy as np
import h5py
from .common import ut, TestCase
@ut.skipUnless(h5py.version.hdf5_version_tuple < (1, 9, 178), 'SWMR is available. Skipping backwards compatible tests')
class TestSwmrNotAvailable(TestCase):
""" Test backwards compatibility behaviour when using SWMR functions with
an older version of HDF5 which does not have this feature available.
Skip this test if SWMR features *are* available in the HDF5 library.
"""
def setUp(self):
TestCase.setUp(self)
self.data = np.arange(13).astype('f')
self.dset = self.f.create_dataset('data', chunks=(13,), maxshape=(None,), data=self.data)
def test_open_swmr_raises(self):
fname = self.f.filename
self.f.close()
with self.assertRaises(ValueError):
self.f = h5py.File(fname, 'r', swmr=True)
def test_refresh_raises(self):
""" If the SWMR feature is not available then Dataset.refresh() should throw an AttributeError
"""
with self.assertRaises(AttributeError):
self.dset.refresh()
def test_flush_raises(self):
""" If the SWMR feature is not available the Dataset.flush() should
throw an AttributeError
"""
with self.assertRaises(AttributeError):
self.dset.flush()
def test_swmr_mode_false(self):
""" The SWMR getter should just be False
"""
assert not self.f.swmr_mode
def test_set_swmr_mode_raises(self):
""" If the SWMR feature is not available, setting swmr_mode = True
should raise a RuntimeError
"""
with self.assertRaises(RuntimeError):
self.f.swmr_mode = True
assert not self.f.swmr_mode
@ut.skipUnless(h5py.version.hdf5_version_tuple >= (1, 9, 178), 'SWMR requires HDF5 >= 1.9.178')
class TestDatasetSwmrRead(TestCase):
""" Testing SWMR functions when reading a dataset.
Skip this test if the HDF5 library does not have the SWMR features.
"""
def setUp(self):
TestCase.setUp(self)
self.data = np.arange(13).astype('f')
self.dset = self.f.create_dataset('data', chunks=(13,), maxshape=(None,), data=self.data)
fname = self.f.filename
self.f.close()
self.f = h5py.File(fname, 'r', swmr=True)
self.dset = self.f['data']
def test_initial_swmr_mode_on(self):
""" Verify that the file is initially in SWMR mode"""
self.assertTrue(self.f.swmr_mode)
def test_read_data(self):
self.assertArrayEqual(self.dset, self.data)
def test_refresh(self):
self.dset.refresh()
def test_force_swmr_mode_on_raises(self):
""" Verify when reading a file cannot be forcibly switched to swmr mode.
When reading with SWMR the file must be opened with swmr=True."""
with self.assertRaises(Exception):
self.f.swmr_mode = True
self.assertTrue(self.f.swmr_mode)
def test_force_swmr_mode_off_raises(self):
""" Switching SWMR write mode off is only possible by closing the file.
Attempts to forcibly switch off the SWMR mode should raise a ValueError.
"""
with self.assertRaises(ValueError):
self.f.swmr_mode = False
self.assertTrue(self.f.swmr_mode)
@ut.skipUnless(h5py.version.hdf5_version_tuple >= (1, 9, 178), 'SWMR requires HDF5 >= 1.9.178')
class TestDatasetSwmrWrite(TestCase):
""" Testing SWMR functions when reading a dataset.
Skip this test if the HDF5 library does not have the SWMR features.
"""
def setUp(self):
""" First setup a file with a small chunked and empty dataset.
No data written yet.
"""
# Note that when creating the file, the swmr=True is not required for
# write, but libver='latest' is required.
self.f = h5py.File(self.mktemp(), 'w', libver='latest')
self.data = np.arange(4).astype('f')
self.dset = self.f.create_dataset('data', shape=(0,), dtype=self.data.dtype, chunks=(2,), maxshape=(None,))
def test_initial_swmr_mode_off(self):
""" Verify that the file is not initially in SWMR mode"""
self.assertFalse(self.f.swmr_mode)
def test_switch_swmr_mode_on(self):
""" Switch to SWMR mode and verify """
self.f.swmr_mode = True
self.assertTrue(self.f.swmr_mode)
def test_switch_swmr_mode_off_raises(self):
""" Switching SWMR write mode off is only possible by closing the file.
Attempts to forcibly switch off the SWMR mode should raise a ValueError.
"""
self.f.swmr_mode = True
self.assertTrue(self.f.swmr_mode)
with self.assertRaises(ValueError):
self.f.swmr_mode = False
self.assertTrue(self.f.swmr_mode)
def test_extend_dset(self):
""" Extend and flush a SWMR dataset
"""
self.f.swmr_mode = True
self.assertTrue(self.f.swmr_mode)
self.dset.resize( self.data.shape )
self.dset[:] = self.data
self.dset.flush()
# Refresh and read back data for assertion
self.dset.refresh()
self.assertArrayEqual(self.dset, self.data)
def test_extend_dset_multiple(self):
self.f.swmr_mode = True
self.assertTrue(self.f.swmr_mode)
self.dset.resize( (4,) )
self.dset[0:] = self.data
self.dset.flush()
# Refresh and read back 1st data block for assertion
self.dset.refresh()
self.assertArrayEqual(self.dset, self.data)
self.dset.resize( (8,) )
self.dset[4:] = self.data
self.dset.flush()
# Refresh and read back 1st data block for assertion
self.dset.refresh()
self.assertArrayEqual(self.dset[0:4], self.data)
self.assertArrayEqual(self.dset[4:8], self.data)
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