def _setstate_old(self, state: Any) -> None:
self._random = state[0]
self.noise_c = ffi.new("struct TCOD_Noise*")
self.noise_c.ndim = state[3]
ffi.buffer(self.noise_c.map)[:] = state[4]
ffi.buffer(self.noise_c.buffer)[:] = state[5]
self.noise_c.H = state[6]
self.noise_c.lacunarity = state[7]
ffi.buffer(self.noise_c.exponent)[:] = state[8]
if state[9]:
# high change of this being prematurely garbage collected!
self.__waveletTileData = ffi.new("float[]", 32 * 32 * 32)
ffi.buffer(self.__waveletTileData)[:] = state[9]
self.noise_c.noise_type = state[10]
self._tdl_noise_c = ffi.new(
"TDLNoise*", (self.noise_c, self.noise_c.ndim, state[1], state[2]))
def __new__(cls, image: Any) -> "_ImageBufferArray":
size = image.height * image.width
self = np.frombuffer(ffi.buffer(lib.TCOD_image_get_colors()[size]),
np.uint8)
self = self.reshape((image.height, image.width, 3)).view(cls)
self._image_c = image.cdata
return self # type: ignore
def _init_setup_console_data(self, order: str = "C") -> None:
"""Setup numpy arrays over libtcod data buffers."""
global _root_console
self._key_color = None
if self.console_c == ffi.NULL:
_root_console = self
self._console_data = lib.TCOD_ctx.root
else:
self._console_data = ffi.cast("struct TCOD_Console*",
self.console_c)
self._tiles = np.frombuffer(
ffi.buffer(self._console_data.tiles[0:self.width * self.height]),
dtype=self.DTYPE,
).reshape((self.height, self.width))
self._order = tcod._internal.verify_order(order)
def _compile_cost_edges(edge_map: Any) -> Tuple[Any, int]:
"""Return an edge_cost array using an integer map."""
edge_map = np.copy(edge_map)
if edge_map.ndim != 2:
raise ValueError("edge_map must be 2 dimensional. (Got %i)" %
edge_map.ndim)
edge_center = edge_map.shape[0] // 2, edge_map.shape[1] // 2
edge_map[edge_center] = 0
edge_map[edge_map < 0] = 0
edge_nz = edge_map.nonzero()
edge_array = np.transpose(edge_nz)
edge_array -= edge_center
c_edges = ffi.new("int[]", len(edge_array) * 3)
edges = np.frombuffer(ffi.buffer(c_edges),
dtype=np.intc).reshape(len(edge_array), 3)
edges[:, :2] = edge_array
edges[:, 2] = edge_map[edge_nz]
return c_edges, len(edge_array)