code: def test_even_linear_scale():
      fig, ax = plt.subplots()
      x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
      y = [10, 3, 100, 6, 45, 4, 80, 45, 3, 59]
      ax.plot(x, y)
      _ = ax.set_xticks(list(range(0, 20, 3)), True)
      _ = ax.set_yticks(list(range(0, 200, 13)), True)
      renderer = run_fig(fig)
      for data_no, data_dict in enumerate(renderer.plotly_fig["data"]):
          # equivalent, msg = compare_dict(data_dict.to_plotly_json(),
          #                                EVEN_LINEAR_SCALE['data'][data_no].to_plotly_json())
          # assert equivalent, msg
          d1, d2 = strip_dict_params(
              data_dict,
              EVEN_LINEAR_SCALE["data"][data_no],
              ignore=["uid"],
          )
  
          equivalent, msg = compare_dict(d1, d2)
          assert equivalent, msg
  
      equivalent, msg = compare_dict(
          renderer.plotly_fig["layout"], EVEN_LINEAR_SCALE["layout"]
      )
      assert equivalent, msg
  
imports: import pytest
  from plotly import optional_imports
  from plotly.tests.utils import compare_dict, strip_dict_params
  from plotly.tests.test_optional.optional_utils import run_fig
  from plotly.tests.test_optional.test_matplotlylib.data.axis_scales import *
label_desc: Use image node_id 1 for calling a global function with example usage: test_even_linear_scale() without return types