在混合模式下加入Azure AD时出现错误0x801c0002

Question

我的实验室设置出现一些问题。尝试以混合活动目录模式注册Windows 10设备时，我得到import numpy as np import matplotlib.pyplot as plt import matplotlib.ticker as mticker import matplotlib.animation ##################### # Array preparation ##################### #input array a = np.random.randint(50,150, size=(5,5)) # kernel kernel = np.array([[ 0,-1, 0], [-1, 5,-1], [ 0,-1, 0]]) # visualization array (2 bigger in each direction) va = np.zeros((a.shape[0]+2, a.shape[1]+2), dtype=int) va[1:-1,1:-1] = a #output array res = np.zeros_like(a) #colorarray va_color = np.zeros((a.shape[0]+2, a.shape[1]+2)) va_color[1:-1,1:-1] = 0.5 ##################### # Create inital plot ##################### fig = plt.figure(figsize=(8,4)) def add_axes_inches(fig, rect): w,h = fig.get_size_inches() return fig.add_axes([rect[0]/w, rect[1]/h, rect[2]/w, rect[3]/h]) axwidth = 3. cellsize = axwidth/va.shape[1] axheight = cellsize*va.shape[0] ax_va = add_axes_inches(fig, [cellsize, cellsize, axwidth, axheight]) ax_kernel = add_axes_inches(fig, [cellsize*2+axwidth, (2+res.shape[0])*cellsize-kernel.shape[0]*cellsize, kernel.shape[1]*cellsize, kernel.shape[0]*cellsize]) ax_res = add_axes_inches(fig, [cellsize*3+axwidth+kernel.shape[1]*cellsize, 2*cellsize, res.shape[1]*cellsize, res.shape[0]*cellsize]) ax_kernel.set_title("Kernel", size=12) im_va = ax_va.imshow(va_color, vmin=0., vmax=1.3, cmap="Blues") for i in range(va.shape[0]): for j in range(va.shape[1]): ax_va.text(j,i, va[i,j], va="center", ha="center") ax_kernel.imshow(np.zeros_like(kernel), vmin=-1, vmax=1, cmap="Pastel1") for i in range(kernel.shape[0]): for j in range(kernel.shape[1]): ax_kernel.text(j,i, kernel[i,j], va="center", ha="center") im_res = ax_res.imshow(res, vmin=0, vmax=1.3, cmap="Greens") res_texts = [] for i in range(res.shape[0]): row = [] for j in range(res.shape[1]): row.append(ax_res.text(j,i, "", va="center", ha="center")) res_texts.append(row) for ax in [ax_va, ax_kernel, ax_res]: ax.tick_params(left=False, bottom=False, labelleft=False, labelbottom=False) ax.yaxis.set_major_locator(mticker.IndexLocator(1,0)) ax.xaxis.set_major_locator(mticker.IndexLocator(1,0)) ax.grid(color="k") ############### # Animation ############### def init(): for row in res_texts: for text in row: text.set_text("") def animate(ij): i,j=ij o = kernel.shape[1]//2 # calculate result res_ij = (kernel*va[1+i-o:1+i+o+1, 1+j-o:1+j+o+1]).sum() res_texts[i][j].set_text(res_ij) # make colors c = va_color.copy() c[1+i-o:1+i+o+1, 1+j-o:1+j+o+1] = 1. im_va.set_array(c) r = res.copy() r[i,j] = 1 im_res.set_array(r) i,j = np.indices(res.shape) ani = matplotlib.animation.FuncAnimation(fig, animate, init_func=init, frames=zip(i.flat, j.flat), interval=400) ani.save("algo.gif", writer="imagemagick") plt.show() 。

我附上了调试日志和摘要。

有人遇到类似问题或对错误有更多了解吗，请帮忙。

问候

Answer 1

请检查Azrue AD Connect，确保在Azure AD Connect同步配置中启用了包含需要混合AD加入的计算机对象的所有组织单位（OU）进行同步，或者OU在范围内的Azure AD Connect。

然后您可以手动触发增量同步。