def test_count(self):
mbslice = MultiBlockSlice(count=7)
self.assertEqual(mbslice.indices(10), (0, 1, 7, 1))
np.testing.assert_array_equal(
self.dset[mbslice], np.array([0, 1, 2, 3, 4, 5, 6])
)
def test_fully_described(self):
mbslice = MultiBlockSlice(start=1, count=2, stride=5, block=4)
self.assertEqual(mbslice.indices(10), (1, 5, 2, 4))
np.testing.assert_array_equal(
self.dset[mbslice], np.array([1, 2, 3, 4, 6, 7, 8, 9])
)
def test_count_calculated(self):
# If not given, count should be calculated to select as many full blocks as possible
mbslice = MultiBlockSlice(start=1, stride=3, block=2)
self.assertEqual(mbslice.indices(10), (1, 3, 3, 2))
np.testing.assert_array_equal(self.dset[mbslice],
np.array([1, 2, 4, 5, 7, 8]))
def test_zero_count_calculated_error(self):
# In this case, there is no possible count to select even one block, so error
mbslice = MultiBlockSlice(start=8, stride=4, block=3)
with self.assertRaises(ValueError):
mbslice.indices(10)
def test_block_overruns_extent_error(self):
# If fully described then must fit within extent
mbslice = MultiBlockSlice(start=2, count=2, stride=5, block=4)
with self.assertRaises(ValueError):
mbslice.indices(10)
def test_stride_more_than_block(self):
mbslice = MultiBlockSlice(stride=3, block=2)
self.assertEqual(mbslice.indices(10), (0, 3, 3, 2))
np.testing.assert_array_equal(self.dset[mbslice], np.array([0, 1, 3, 4, 6, 7]))
def test_block_more_than_stride_error(self):
with self.assertRaises(ValueError):
MultiBlockSlice(block=3)
with self.assertRaises(ValueError):
MultiBlockSlice(stride=2, block=3)
def test_stride_block_equal(self):
mbslice = MultiBlockSlice(stride=2, block=2)
self.assertEqual(mbslice.indices(10), (0, 2, 5, 2))
np.testing.assert_array_equal(self.dset[mbslice], self.arr)
def test_stride_zero_error(self):
with self.assertRaises(ValueError):
# This would cause a ZeroDivisionError if not caught
MultiBlockSlice(stride=0, block=0).indices(10)
def test_stride(self):
mbslice = MultiBlockSlice(stride=2)
self.assertEqual(mbslice.indices(10), (0, 2, 5, 1))
np.testing.assert_array_equal(self.dset[mbslice], np.array([0, 2, 4, 6, 8]))
def test_count_more_than_length_error(self):
mbslice = MultiBlockSlice(count=11)
with self.assertRaises(ValueError):
mbslice.indices(10)
def test_start(self):
mbslice = MultiBlockSlice(start=4)
self.assertEqual(mbslice.indices(10), (4, 1, 6, 1))
np.testing.assert_array_equal(self.dset[mbslice], np.array([4, 5, 6, 7, 8, 9]))
def test_default_explicit(self):
mbslice = MultiBlockSlice(start=0, count=10, stride=1, block=1)
self.assertEqual(mbslice.indices(10), (0, 1, 10, 1))
np.testing.assert_array_equal(self.dset[mbslice], self.arr)
def test_default(self):
# Default selects entire dataset as one block
mbslice = MultiBlockSlice()
self.assertEqual(mbslice.indices(10), (0, 1, 10, 1))
np.testing.assert_array_equal(self.dset[mbslice], self.arr)