def test_data_type_failure(self):
d_d = Descriptor(128, ctypes.c_double)
d_d[:] = 1
nose.tools.assert_equal(d_d.sum(), 128)
nose.tools.assert_raises(VitalDynamicCastException,
Descriptor,
from_cptr=d_d.c_pointer,
ctype=ctypes.c_float)
d_f = Descriptor(128, ctypes.c_float)
d_f[:] = 1
nose.tools.assert_equal(d_f.sum(), 128)
nose.tools.assert_raises(VitalDynamicCastException,
Descriptor,
from_cptr=d_f.c_pointer,
ctype=ctypes.c_double)
def test_desc(self):
# Some random initialized descriptor
d = Descriptor()
d[:] = 1
nose.tools.assert_equal(d.sum(), d.size)
ts = TrackState(0, descriptor=d)
numpy.testing.assert_equal(d, ts.descriptor)
def test_raw_data(self):
d = Descriptor(64)
d[:] = 1
nose.tools.assert_equal(d.sum(), 64)
# Check that slicing the array data yields an array with the same
# values.
d2 = d[:]
numpy.testing.assert_equal(d.todoublearray(), d2)
def test_raw_data(self):
d = Descriptor(64)
d[:] = 1
nose.tools.assert_equal(d.sum(), 64)
# Check that slicing the array data yields an array with the same
# values.
d2 = d[:]
numpy.testing.assert_equal(d.todoublearray(), d2)
def test_data_type_failure(self):
d_d = Descriptor(128, ctypes.c_double)
d_d[:] = 1
nose.tools.assert_equal(d_d.sum(), 128)
nose.tools.assert_raises(
VitalDynamicCastException,
Descriptor,
from_cptr=d_d.c_pointer, ctype=ctypes.c_float
)
d_f = Descriptor(128, ctypes.c_float)
d_f[:] = 1
nose.tools.assert_equal(d_f.sum(), 128)
nose.tools.assert_raises(
VitalDynamicCastException,
Descriptor,
from_cptr=d_f.c_pointer, ctype=ctypes.c_double
)
def test_raw_data(self):
d = Descriptor(64)
d[:] = 1
nose.tools.assert_equal(d.sum(), 64)
d2 = d[:]
numpy.testing.assert_almost_equal(d, d2)
d2[:] = 2
numpy.testing.assert_almost_equal(d, d2)
def test_raw_data(self):
d = Descriptor(64)
d[:] = 1
nose.tools.assert_equal(d.sum(), 64)
d2 = d[:]
numpy.testing.assert_almost_equal(d, d2)
d2[:] = 2
numpy.testing.assert_almost_equal(d, d2)
def test_raw_data(self):
d = Descriptor(64)
d[:] = 1
nose.tools.assert_equal(d.sum(), 64)
# Check that slicing the array data yields an array with the same
# values.
d2 = d[:]
numpy.testing.assert_almost_equal(d, d2)
# Check that modifying the sliced array shared the same data as the
# parent descriptor.
d2[:] = 2
numpy.testing.assert_almost_equal(d, d2)
