code: def test_breaks_and_labels_outside_of_limits():
      data = pd.DataFrame({"x": range(5, 11), "y": range(5, 11)})
      p = (
          ggplot(data, aes("x", "y"))
          + geom_point()
          + scale_x_continuous(
              limits=[7, 9.5],
              breaks=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11],
              labels=[
                  "one",
                  "two",
                  "three",
                  "four",
                  "five",
                  "six",
                  "seven",
                  "eight",
                  "nine",
                  "ten",
                  "eleven",
              ],
          )
      )
      with pytest.warns(PlotnineWarning):
          assert p == "breaks_and_labels_outside_of_limits"
  
imports: import warnings
  from datetime import datetime
  import numpy
  import numpy.testing
  import pandas
  import pytest
  import plotnine
  from plotnine import aes, annotate, element_text, expand_limits, facet_wrap, geom_bar, geom_col, geom_point, ggplot, lims, theme
  from plotnine.exceptions import PlotnineError, PlotnineWarning
  from plotnine.scales import scale_color, scale_color_manual, scale_identity, scale_manual, scale_xy
  from plotnine.scales.scale_alpha import scale_alpha_continuous, scale_alpha_discrete
  from plotnine.scales.scale_linetype import scale_linetype_continuous, scale_linetype_discrete
  from plotnine.scales.scale_manual import _scale_manual
  from plotnine.scales.scale_shape import scale_shape_continuous, scale_shape_discrete
  from plotnine.scales.scale_size import scale_size_area, scale_size_continuous, scale_size_discrete, scale_size_radius
  from plotnine.scales.scale_xy import scale_x_continuous, scale_x_discrete, scale_x_log10, scale_y_continuous
  from plotnine.scales.scales import make_scale
label_desc: Use image node_id 41 for calling a global function with example usage: test_breaks_and_labels_outside_of_limits() without return types