def test_large(self):
# Source data: 3 MB
array = self._small_array()
target = _WriteCounter(array.shape)
with mock.patch('biggus._init.MAX_CHUNK_SIZE', 4096):
biggus.save([array], [target])
self.assertTrue(target.all_written())
def test(self):
# If we switch evaluation engine, does it get used?
array = _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(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_flow(self, axis):
data = np.arange(3 * 4 * 5, dtype='f4').reshape(3, 4, 5)
array = biggus.NumpyArrayAdapter(data)
mean = biggus.mean(array, axis=axis)
# Artificially constrain the chunk size to eight bytes to
# ensure biggus is stepping across axes in the correct
# order.
with mock.patch('biggus._init.MAX_CHUNK_SIZE', 8):
op_result, = biggus.ndarrays([mean])
np_result = np.mean(data, axis=axis)
np.testing.assert_array_almost_equal(op_result, np_result)
def test_updates_all_override_name(self):
with mock.patch('biggus._init.__all__', []) as tmp_all:
_ufunc_wrapper(np.exp, 'foo')
self.assertEqual(tmp_all, ['foo'])
def test_updates_all_default_name(self):
with mock.patch('biggus._init.__all__', []) as tmp_all:
_ufunc_wrapper(np.exp)
self.assertEqual(tmp_all, ['exp'])
def test_updates_all_override_name(self):
with mock.patch('biggus._init.__all__', []) as tmp_all:
_ufunc_wrapper(np.exp, 'foo')
self.assertEqual(tmp_all, ['foo'])
def test_updates_all_default_name(self):
with mock.patch('biggus._init.__all__', []) as tmp_all:
_ufunc_wrapper(np.exp)
self.assertEqual(tmp_all, ['exp'])