def test_dynamic_array_2d_shrink():
for numpy_resize in [True, False]:
da = DynamicArray((10, 20), use_numpy_resize=numpy_resize)
da[:, :] = np.arange(200).reshape((10, 20))
da.shrink((5, 15))
assert da.shape == (5, 15)
# After using shrink, the underlying array should have changed
assert da._data.shape == (5, 15)
assert_equal(da[:, :], np.arange(15).reshape((1, 15)) + 20*np.arange(5).reshape((5, 1)))
def reinit(self):
self._values = dict((v, DynamicArray((0, len(self.indices)),
use_numpy_resize=True,
dtype=self.source.variables[v].dtype))
for v in self.record_variables)
self._t = DynamicArray1D(0, use_numpy_resize=True,
dtype=brian_prefs['core.default_scalar_dtype'])
def add_array(self, var):
# This creates the actual numpy arrays (or DynamicArrayVariable objects)
if isinstance(var, DynamicArrayVariable):
if var.ndim == 1:
arr = DynamicArray1D(var.size, dtype=var.dtype)
else:
arr = DynamicArray(var.size, dtype=var.dtype)
else:
arr = np.empty(var.size, dtype=var.dtype)
self.arrays[var] = arr
def test_dynamic_array_2d_resize_up_down():
for numpy_resize in [True, False]:
da = DynamicArray((10, 20), use_numpy_resize=numpy_resize)
da[:, :] = np.arange(200).reshape((10, 20))
da.resize((15, 20))
assert da.shape == (15, 20)
assert_equal(da[10:, :], np.zeros((5, 20)))
assert_equal(da[:10, :], np.arange(200).reshape((10, 20)))
da.resize((15, 25))
assert da.shape == (15, 25)
assert_equal(da[:10, 20:], np.zeros((10, 5)))
assert_equal(da[:10, :20], np.arange(200).reshape((10, 20)))
da.resize((10, 20))
assert da.shape == (10, 20)
assert_equal(da[:, :], np.arange(200).reshape((10, 20)))
def test_dynamic_array_2d_resize_down_up():
for numpy_resize in [True, False]:
da = DynamicArray((10, 20), use_numpy_resize=numpy_resize)
da[:, :] = np.arange(200).reshape((10, 20))
da.resize((5, 20))
assert da.shape == (5, 20)
assert_equal(da, np.arange(100).reshape((5, 20)))
da.resize((5, 15))
assert da.shape == (5, 15)
for row_idx, row in enumerate(da):
assert_equal(row, 20 * row_idx + np.arange(15))
da.resize((10, 20))
assert da.shape == (10, 20)
for row_idx, row in enumerate(da[:5, :15]):
assert_equal(row, 20 * row_idx + np.arange(15))
assert_equal(da[5:, 15:], 0)
def test_dynamic_array_2d_resize():
for numpy_resize in [True, False]:
da = DynamicArray((10, 20), use_numpy_resize=numpy_resize)
da[:, :] = np.arange(200).reshape((10, 20))
da.resize((15, 20))
assert da.shape == (15, 20)
assert_equal(da[10:, :], np.zeros((5, 20)))
assert_equal(da[:10, :], np.arange(200).reshape((10, 20)))
da.resize((15, 25))
assert da.shape == (15, 25)
assert_equal(da[:10, 20:], np.zeros((10, 5)))
assert_equal(da[:10, :20], np.arange(200).reshape((10, 20)))
da.resize((10, 20))
assert da.shape == (10, 20)
assert_equal(da[:, :], np.arange(200).reshape((10, 20)))