def test_resize(self):
data = np.zeros(10)
B = DataBuffer(data=data)
data = np.zeros(20)
B.set_data(data)
assert B.nbytes == data.nbytes
assert B._need_resize is True
def test_set_data_base(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data = np.zeros(10, dtype=dtype)
B = DataBuffer(data, store=True)
B.set_data(data)
assert len(B._pending_data) == 1
def test_set_data_offset(self):
data = np.zeros(100, np.float32)
subdata = data[:10]
B = DataBuffer(data)
B.set_data(subdata, offset=10)
offset = B._pending_data[-1][2]
print (offset)
assert offset == 10*4
def test_invalid_view_after_set_data(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data = np.zeros(10, dtype=dtype)
B = DataBuffer(data)
Z = B[5:]
B.set_data(np.zeros(15, dtype=dtype))
assert Z._valid is False
def test_getitem_field(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data = np.zeros(10, dtype=dtype)
B = DataBuffer(data)
Z = B["position"]
assert Z.nbytes == 10 * 3 * np.dtype(np.float32).itemsize
assert Z.offset == 0
assert Z.size == 10
assert Z.itemsize == 3 * np.dtype(np.float32).itemsize
assert Z.stride == (3 + 2 + 4) * np.dtype(np.float32).itemsize
assert Z.dtype == (np.float32, 3)
Z = B["texcoord"]
assert Z.nbytes == 10 * 2 * np.dtype(np.float32).itemsize
assert Z.offset == 3 * np.dtype(np.float32).itemsize
assert Z.size == 10
assert Z.itemsize == 2 * np.dtype(np.float32).itemsize
assert Z.stride == (3 + 2 + 4) * np.dtype(np.float32).itemsize
assert Z.dtype == (np.float32, 2)
Z = B["color"]
assert Z.nbytes == 10 * 4 * np.dtype(np.float32).itemsize
assert Z.offset == (2 + 3) * np.dtype(np.float32).itemsize
assert Z.size == 10
assert Z.itemsize == 4 * np.dtype(np.float32).itemsize
assert Z.stride == (3 + 2 + 4) * np.dtype(np.float32).itemsize
assert Z.dtype == (np.float32, 4)
def test_no_resize_ellipsis(self):
data = np.zeros(10)
B = DataBuffer(data=data)
data = np.zeros(30)
# with self.assertRaises(ValueError):
# B[...] = data
self.assertRaises(ValueError, B.__setitem__, Ellipsis, data)
def test_resize_no_resizeable(self):
data = np.zeros(10)
B = DataBuffer(data=data, resizeable=False)
data = np.zeros(20)
# with self.assertRaises(ValueError):
# B.set_data(data)
self.assertRaises(ValueError, B.set_data, data)
def test_setitem_broadcast(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data = np.zeros(10, dtype=dtype)
B = DataBuffer(data, store=True)
B['position'] = 1, 2, 3
assert np.allclose(data['position'].ravel(), np.resize([1, 2, 3], 30))
def test_setitem_field_no_storage(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data = np.zeros(10, dtype=dtype)
B = DataBuffer(data, store=False)
# with self.assertRaises(ValueError):
# B['position'] = 1, 2, 3
self.assertRaises(ValueError, B.__setitem__, 'position', (1, 2, 3))
def test_every_two_item_no_storage(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data = np.zeros(10, dtype=dtype)
B = DataBuffer(data, store=False)
# with self.assertRaises(ValueError):
# B[::2] = data[::2]
s = slice(None, None, 2)
self.assertRaises(ValueError, B.__setitem__, s, data[::2])
def test_setitem_strided(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data1 = np.zeros(10, dtype=dtype)
data2 = np.ones(10, dtype=dtype)
B = DataBuffer(data1, store=True)
B[::2] = data2[::2]
assert np.allclose(data1['position'][::2], data2['position'][::2])
assert np.allclose(data1['texcoord'][::2], data2['texcoord'][::2])
assert np.allclose(data1['color'][::2], data2['color'][::2])
def test_setitem_half(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data1 = np.zeros(10, dtype=dtype)
data2 = np.ones(10, dtype=dtype)
B = DataBuffer(data1, store=True)
B[:5] = data2[:5]
assert np.allclose(data1['position'][:5], data2['position'][:5])
assert np.allclose(data1['texcoord'][:5], data2['texcoord'][:5])
assert np.allclose(data1['color'][:5], data2['color'][:5])
assert len(B._pending_data) == 2
def test_structured_init(self):
# Check structured type
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data = np.zeros(10, dtype=dtype)
B = DataBuffer(data)
assert B.nbytes == data.nbytes
assert B.offset == 0
assert B.size == 10
assert B.itemsize == data.itemsize
assert B.stride == data.itemsize
assert B.dtype == data.dtype
def test_getitem_index(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data = np.zeros(10, dtype=dtype)
B = DataBuffer(data)
Z = B[0]
assert Z.nbytes == 1 * (3 + 2 + 4) * np.dtype(np.float32).itemsize
assert Z.offset == 0
assert Z.size == 1
assert Z.itemsize == (3 + 2 + 4) * np.dtype(np.float32).itemsize
assert Z.stride == (3 + 2 + 4) * np.dtype(np.float32).itemsize
assert Z.dtype == B.dtype
def test_set_data_base_view(self):
dtype = np.dtype([('position', np.float32, 3),
('texcoord', np.float32, 2),
('color', np.float32, 4)])
data = np.zeros(10, dtype=dtype)
B = DataBuffer(data, store=True)
# set_data on field is not allowed because set_data
# can result in a buffer resize
# with self.assertRaises(ValueError):
# B['position'].set_data(data)
Z = B['position']
self.assertRaises(ValueError, Z.set_data, data)
def test_default_init(self):
# Check default storage and copy flags
data = np.ones(100)
B = DataBuffer(data)
assert B._store is True
assert B._copy is False
assert B.nbytes == data.nbytes
assert B.offset == 0
assert B.size == 100
assert B.itemsize == data.itemsize
assert B.stride == data.itemsize
assert B.dtype == data.dtype
assert B._resizeable is True
def test_storage(self):
data = np.ones(100)
B = DataBuffer(data, store=True)
assert B.data.base is data
def test_no_storage_copy(self):
data = np.ones(100, np.float32)
B = DataBuffer(data, store=False)
assert B.data is None
assert B.stride == 4
def test_storage_copy(self):
data = np.ones(100, np.float32)
B = DataBuffer(data.copy(), store=True) # we got rid of copy arg
assert B.data is not None
assert B.data is not data
assert B.stride == 4
def test_non_contiguous_storage(self):
# Ask to have CPU storage and to use data as storage
# Not possible since data[::2] is not contiguous
data = np.ones(100)
B = DataBuffer(data[::2], store=True, copy=False)
assert B._copy == True
