code: def test_contour_manual_moveto():
      x = np.linspace(-10, 10)
      y = np.linspace(-10, 10)
  
      X, Y = np.meshgrid(x, y)
  
      Z = X**2 * 1 / Y**2 - 1
  
      contours = plt.contour(X, Y, Z, levels=[0, 100])
  
      # This point lies on the `MOVETO` line for the 100 contour
      # but is actually closest to the 0 contour
      point = (1.3, 1)
      clabels = plt.clabel(contours, manual=[point])
  
      # Ensure that the 0 contour was chosen, not the 100 contour
      assert clabels[0].get_text() == "0"
  
imports: import datetime
  import platform
  import re
  from unittest import mock
  import contourpy
  import numpy
  from numpy.testing import assert_array_almost_equal, assert_array_almost_equal_nulp, assert_array_equal
  import matplotlib
  from matplotlib import pyplot, rc_context, ticker
  from matplotlib.colors import LogNorm, same_color
  import matplotlib.patches
  from matplotlib.testing.decorators import check_figures_equal, image_comparison
  import pytest
label_desc: Use image node_id 9 for calling a global function with example usage: test_contour_manual_moveto() without return types