コード例 #1
0
def test_type_mapping():
    x = [1,2,3,4,5]
    data._type_map[int] = float32
    hdf5 = tables.openFile('test.h5', 'w')
    data.save(hdf5.root, 'fubar', x)
    assert hdf5.root.fubar.atom.dtype == float32
    hdf5.close()
    del data._type_map[int]
コード例 #2
0
def test_64_bitness():
    x = [1,2,3,4,5]
    y = array([1,2,3,4,5,6], dtype=int64)
    data._type_map[int] = int32
    hdf5 = tables.openFile('test.h5', 'w')
    data.save(hdf5.root, 'fubar', x)
    data.save(hdf5.root, 'baz', y)
    assert hdf5.root.fubar.atom.dtype == int32
    assert hdf5.root.baz.atom.dtype == int32
    hdf5.close()
コード例 #3
0
def do_serialize(d, path='obj'):
     hdf5 = tables.openFile('test.h5', 'w')
     data.save(hdf5.root, path, d)
     hdf5.close()
     d = d.__class__()
     hdf5 = tables.openFile('test.h5', 'r+')
     d = data.load(hdf5.root, path)
     data.save(hdf5.root, path, d)
     d = d.__class__()
     d = data.load(hdf5.root, path)
     return (hdf5, d)
コード例 #4
0
def test_save_subgroups():
    a = scipy.rand(1,2,3,4,5)

    hdf5 = tables.openFile('test.h5', 'w')
    data.save(hdf5.root, 'foo/bar/quux', a)
    hdf5.close()

    hdf5 = tables.openFile('test.h5', 'r')
    b = data.load(hdf5.root, 'foo/bar/quux')
    hdf5.close()

    assert arrays_equal(a, b)
コード例 #5
0
def test_2():
    d = SimpleSer()
#
    f = tables.openFile('test.h5', 'w')
    data.save(f.root, 'fubar', d)
    d2 = data.load(f.root, 'fubar')
    assert arrays_equal(d.a, d2.a)
    assert arrays_equal(d.b, d2.b)
    assert arrays_equal(d.c, d2.c)
    f.close()
#
# Loading partial data:
#
    f = tables.openFile('test.h5', 'r')
    da = data.load(f.root, 'fubar/a')
    dx = data.load(f.root, 'fubar/x')
    f.close()
    assert arrays_equal(d.a, da)
    assert dx == d.x
    assert type(dx) == float