| import numba
|
|
|
|
|
| @numba.jit(
|
| numba.void(
|
| numba.int32[:, :, ::1],
|
| numba.float32[:, :, ::1],
|
| numba.int32[::1],
|
| numba.int32[::1],
|
| ),
|
| nopython=True,
|
| nogil=True,
|
| )
|
| def maximum_path_jit(paths, values, t_ys, t_xs):
|
| b = paths.shape[0]
|
| max_neg_val = -1e9
|
| for i in range(int(b)):
|
| path = paths[i]
|
| value = values[i]
|
| t_y = t_ys[i]
|
| t_x = t_xs[i]
|
|
|
| v_prev = v_cur = 0.0
|
| index = t_x - 1
|
|
|
| for y in range(t_y):
|
| for x in range(max(0, t_x + y - t_y), min(t_x, y + 1)):
|
| if x == y:
|
| v_cur = max_neg_val
|
| else:
|
| v_cur = value[y - 1, x]
|
| if x == 0:
|
| if y == 0:
|
| v_prev = 0.0
|
| else:
|
| v_prev = max_neg_val
|
| else:
|
| v_prev = value[y - 1, x - 1]
|
| value[y, x] += max(v_prev, v_cur)
|
|
|
| for y in range(t_y - 1, -1, -1):
|
| path[y, index] = 1
|
| if index != 0 and (
|
| index == y or value[y - 1, index] < value[y - 1, index - 1]
|
| ):
|
| index = index - 1
|
|
|
