def brushfireFromObstacles(ogm, brush, ogml):
assert brush.flags["C_CONTIGUOUS"]
xi, n, m = Cffi.to_double_pointer_copy(ogm)
yi = ffi.cast('int*', brush.ctypes.data)
lib.brushfireFromObstacles(xi, yi, n, m, ogml['min_x'], ogml['max_x'],
ogml['min_y'], ogml['max_y'])
return brush
def brushfireFromObstacles(ogm, brush, ogml):
x = [np.array(v, dtype='int32') for v in ogm]
xi = ffi.new(("int* [%d]") % (len(x)))
for i in range(len(x)):
xi[i] = ffi.cast("int *", x[i].ctypes.data)
y = [np.array(v, dtype='int32') for v in brush]
yi = ffi.new(("int* [%d]") % (len(y)))
for i in range(len(y)):
yi[i] = ffi.cast("int *", y[i].ctypes.data)
lib.brushfireFromObstacles(xi, yi, len(x), len(x[0]), ogml['min_x'], ogml['max_x'], ogml['min_y'], ogml['max_y'])
brush = cp_brush(brush, yi, brush.shape[0], brush.shape[1])
return brush
def brushfireFromObstacles(ogm, brush, ogml):
#TODO improve: by map limits
x = [np.array(v, dtype='int32') for v in ogm]
xi = ffi.new(("int* [%d]") % (len(x)))
for i in range(len(x)):
xi[i] = ffi.cast("int *", x[i].ctypes.data)
y = [np.array(v, dtype='int32') for v in brush]
yi = ffi.new(("int* [%d]") % (len(y)))
for i in range(len(y)):
yi[i] = ffi.cast("int *", y[i].ctypes.data)
br_c = lib.brushfireFromObstacles(xi, yi, len(x), len(x[0]),
ogml['min_x'], ogml['max_x'],
ogml['min_y'], ogml['max_y'])
# # TODO: Must be faster!
# for i in range(ogm.shape[0]):
# for j in range(ogm.shape[1]):
# brush[i][j] = yi[i][j]
#
# Extra challenge #2
# Optimize targer selection calculations
brush[:ogm.shape[0], :ogm.shape[1]] = np.array(y)
return brush
def brushfireFromObstacles(ogm, brush, ogml):
#TODO improve: by map limits
x = [np.array(v, dtype='int32') for v in ogm]
xi = ffi.new(("int* [%d]") % (len(x)))
for i in range(len(x)):
xi[i] = ffi.cast("int *", x[i].ctypes.data)
y = [np.array(v, dtype='int32') for v in brush]
yi = ffi.new(("int* [%d]") % (len(y)))
for i in range(len(y)):
yi[i] = ffi.cast("int *", y[i].ctypes.data)
br_c = lib.brushfireFromObstacles(xi, yi, len(x), len(x[0]),
ogml['min_x'], ogml['max_x'], ogml['min_y'], ogml['max_y'])
# TODO: Must be faster!
for i in range(ogm.shape[0]):
for j in range(ogm.shape[1]):
brush[i][j] = yi[i][j]
return brush