code: def test_polar_theta_limits():
      r = np.arange(0, 3.0, 0.01)
      theta = 2 * np.pi * r
  
      theta_mins = np.arange(15.0, 361.0, 90.0)
      theta_maxs = np.arange(50.0, 361.0, 90.0)
      DIRECTIONS = ("out", "in", "inout")
  
      fig, axs = plt.subplots(
          len(theta_mins),
          len(theta_maxs),
          subplot_kw={"polar": True},
          figsize=(8, 6),
      )
  
      for i, start in enumerate(theta_mins):
          for j, end in enumerate(theta_maxs):
              ax = axs[i, j]
              ax.plot(theta, r)
              if start < end:
                  ax.set_thetamin(start)
                  ax.set_thetamax(end)
              else:
                  # Plot with clockwise orientation instead.
                  ax.set_thetamin(end)
                  ax.set_thetamax(start)
                  ax.set_theta_direction("clockwise")
              ax.tick_params(
                  tick1On=True,
                  tick2On=True,
                  direction=DIRECTIONS[i % len(DIRECTIONS)],
                  rotation="auto",
              )
              ax.yaxis.set_tick_params(label2On=True, rotation="auto")
              ax.xaxis.get_major_locator().base.set_params(  # backcompat
                  steps=[1, 2, 2.5, 5, 10]
              )
  
imports: import numpy
  from numpy.testing import assert_allclose
  import pytest
  import matplotlib
  from matplotlib import pyplot
  from matplotlib.testing.decorators import image_comparison, check_figures_equal
label_desc: Use image node_id 15 for calling a global function with example usage: test_polar_theta_limits() without return types