def test(self):
# If we switch evaluation engine, does it get used?
array = biggus._Aggregation(biggus.ConstantArray(3, 2), None, None,
None, None, {})
return_value = (mock.sentinel.result,)
engine = mock.Mock(**{'ndarrays.return_value': return_value})
with mock.patch('biggus.engine', engine):
result = array.ndarray()
self.assertIs(result, mock.sentinel.result)
def test_array_instance(self):
array = mock.Mock(spec=Array)
result = ensure_array(array)
self.assertIs(array, result)
def fake_array(fill_value, dtype=np.dtype('f4')):
return mock.Mock(shape=(3, 4),
dtype=dtype,
fill_value=fill_value,
ndim=2,
spec=Array)
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with Biggus. If not, see <http://www.gnu.org/licenses/>.
"""Unit tests for `biggus._init._normalise_axis`."""
from __future__ import absolute_import, division, print_function
from six.moves import (filter, input, map, range, zip) # noqa
import unittest
from biggus._init import _normalise_axis
from biggus.tests import mock
ARRAY = mock.Mock(ndim=9)
class TestNone(unittest.TestCase):
def test(self):
self.assertIs(_normalise_axis(None, ARRAY), None)
class TestValid(unittest.TestCase):
def check(self, argument, expected):
result = _normalise_axis(argument, ARRAY)
self.assertEqual(result, expected)
self.assertIsInstance(result, tuple)
def test_zero(self):
self.check(0, (0, ))
def fake_array(fill_value, dtype=np.dtype('f4')):
return mock.Mock(shape=mock.sentinel.SHAPE, dtype=dtype,
fill_value=fill_value, spec=Array)