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from copy import copy, deepcopy
import numpy as np
from hdmf.data_utils import DataChunk
from hdmf.testing import TestCase
class DataChunkTests(TestCase):
def setUp(self):
pass
def tearDown(self):
pass
def test_datachunk_copy(self):
obj = DataChunk(data=np.arange(3), selection=np.s_[0:3])
obj_copy = copy(obj)
self.assertNotEqual(id(obj), id(obj_copy))
self.assertEqual(id(obj.data), id(obj_copy.data))
self.assertEqual(id(obj.selection), id(obj_copy.selection))
def test_datachunk_deepcopy(self):
obj = DataChunk(data=np.arange(3), selection=np.s_[0:3])
obj_copy = deepcopy(obj)
self.assertNotEqual(id(obj), id(obj_copy))
self.assertNotEqual(id(obj.data), id(obj_copy.data))
self.assertNotEqual(id(obj.selection), id(obj_copy.selection))
def test_datachunk_astype(self):
obj = DataChunk(data=np.arange(3), selection=np.s_[0:3])
newtype = np.dtype('int16')
obj_astype = obj.astype(newtype)
self.assertNotEqual(id(obj), id(obj_astype))
self.assertEqual(obj_astype.dtype, np.dtype(newtype))
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