code: def plot_gallery(
      title, images, n_col=n_col, n_row=n_row, cmap=plt.cm.gray
  ):
      fig, axs = plt.subplots(
          nrows=n_row,
          ncols=n_col,
          figsize=(2.0 * n_col, 2.3 * n_row),
          facecolor="white",
          constrained_layout=True,
      )
      fig.set_constrained_layout_pads(
          w_pad=0.01, h_pad=0.02, hspace=0, wspace=0
      )
      fig.set_edgecolor("black")
      fig.suptitle(title, size=16)
      for ax, vec in zip(axs.flat, images):
          vmax = max(vec.max(), -vec.min())
          im = ax.imshow(
              vec.reshape(image_shape),
              cmap=cmap,
              interpolation="nearest",
              vmin=-vmax,
              vmax=vmax,
          )
          ax.axis("off")
  
      fig.colorbar(
          im,
          ax=axs,
          orientation="horizontal",
          shrink=0.99,
          aspect=40,
          pad=0.01,
      )
      plt.show()
  
imports: import logging
  import matplotlib.pyplot
  from numpy.random import RandomState
  from sklearn import cluster, decomposition
  from sklearn.datasets import fetch_olivetti_faces
label_desc: Use image node_id 1 for calling a global function with example usage: plot_gallery(title, images, n_col, n_row, cmap) without return types